IMR Press / JIN / Volume 21 / Issue 6 / DOI: 10.31083/j.jin2106158
Open Access Review
A Behavioral Approach to Treatment and Assessment of People with Disorders of Consciousness: The Response-contingent Stimulation Strategy
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1 Department of Neuroscience and Sense Organs, University of Bari, 70121 Bari, Italy
2 Department of Psychology, Sapienza University, 00185 Rome, Italy
3 Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA 30912, USA
4 College of Education, University of Texas at Austin, TX 78712, USA
5 School of Education, Victoria University of Wellington, 6012 Wellington, New Zealand
6 Lega F. D’Oro Research Center, 60027 Osimo, Italy
7 Department of Psychology, University of Bologna, 40126 Bologna, Italy
*Correspondence: giulio.lancioni@uniba.it (Giulio E. Lancioni)
Academic Editors: Sergio Bagnato and Gernot Riedel
J. Integr. Neurosci. 2022, 21(6), 158; https://doi.org/10.31083/j.jin2106158
Submitted: 16 June 2022 | Revised: 20 July 2022 | Accepted: 21 July 2022 | Published: 21 September 2022
(This article belongs to the Special Issue Disorders of Consciousness: From Pathophysiology to Treatment)
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Response-contingent stimulation is a behavioral strategy used to improve the situation of patients with disorders of consciousness. Such strategy involves the presentation of brief periods (e.g., 10 to 15 s) of stimulation considered preferred by the patients, contingent on (immediately after) the emission of specific patients’ responses. The aim is to help the patients learn the link between their responding and the preferred stimulation and thus learn to use their responding to access the stimulation in a self-determined/independent manner. Achieving these goals is considered important for the patients’ recovery process and thus the response-contingent stimulation strategy that promotes such an achievement can be considered a valuable treatment approach. The same strategy combined with the use of periods of non-contingent stimulation (i.e., stimulation delivered independent of responding) may also serve as an assessment supplement with patients with apparent unresponsive wakefulness. The patients’ increase in responding during the response-contingent stimulation and decline in responding during the non-contingent stimulation could be taken as a sign of discrimination between conditions, and possibly a sign of awareness of the immediate environmental situation, compatible with a diagnosis of minimally conscious state. This paper analyzes a number of studies aimed at using the response-contingent stimulation as a treatment strategy and a number of studies aimed at combining response-contingent stimulation with non-contingent stimulation for treatment and assessment purposes. The results of the studies are discussed in terms of the effectiveness, accessibility and affordability of the strategy. The need for new research (i.e., replication studies) is also pointed out.

Keywords
disorders of consciousness
response-contingent stimulation
treatment
assessment
learning
technology
1. Introduction

People with disorders of consciousness may be characterized by a comatose state, a vegetative state (VS) (now frequently indicated as unresponsive wakefulness syndrome; UWS), or a minimally conscious state (MCS) [1, 2, 3, 4, 5, 6]. People in a comatose state are considered to be not arousable or difficult to arouse and are typically viewed as being unaware of themselves and the surrounding environment [6, 7, 8]. People in a VS (or unresponsive wakefulness) are typically awake and may also display a number of basic/simple head and limb movements as well as reflex responses such as grinding teeth and yawning [6, 9, 10]. In spite of their wakefulness and movements, these people seem to be unaware of and unresponsive to the environment [11, 12, 13, 14]. People in a MCS typically display fluctuating signs of awareness, which may also involve the ability to follow some simple verbal commands and to utter comprehensible words [4, 6, 10, 15].

Efforts to improve the situation of people with disorders of consciousness (e.g., to help them increase their arousal and responsiveness and foster their recovery process) can be based on behavioral and non-behavioral intervention strategies [16, 17, 18]. The most common non-behavioral intervention strategies include among others the use of pharmacological agents (e.g., amantadine [19, 20]) and the application of transcranial stimulation, that is, transcranial direct current stimulation [21, 22], and repetitive transcranial magnetic stimulation [23, 24].

The main behavioral intervention strategies include the use of music stimulation, verbal stories/messages, multisensory stimulation, and response-contingent stimulation [15, 25, 26, 27, 28, 29]. The extensive literature on music stimulation has reported (a) different ways of presenting music (e.g., recorded music delivered through different types of electronic devices and music presented/improvised live by a music therapist), (b) different types of music (e.g., patient’s preferred music, classical music, and folk music), and (c) different presentation lengths (e.g., from less than 1 min to about 30 min). Music is thought to affect neural networks, improve brain plasticity, and prevent sensory deprivation [30, 31]. Moreover, the emotional content of salient music can activate limbic and paralimbic structures with important implications for the participants’ functioning and well-being [32, 33, 34].

Verbal stories/messages mainly involve the narration/recalling of meaningful events the patient had previously experienced and/or the description of the current situation with a positive perspective for recovery and future [28, 35, 36]. The use of such an intervention strategy is supported by the view that (a) the emotional content of the stories/messages can activate limbic and paralimbic structures of the brain (see above) [37, 38, 39], (b) the calling of the patient’s name can promote forms of behavioral or non-behavioral (physiological) responses of alertness and attention [31, 40], and (c) the overall narration can constitute a useful form of auditory stimulation, that is, beneficial input for a sensory channel, which is generally well preserved in this population [26, 41].

The use of multisensory stimulation is typically justified by the notion that a complex stimulation approach involving the presence of various multimodal stimuli (possibly meaningful/relevant for the person receiving them) is more likely to be effective in promoting brain activation and overall responding than the use of simple and repetitive stimuli [42, 43, 44]. Based on this notion, a number of studies were carried out to assess the impact of multisensory stimulation with patients in a comatose state, in a vegetative state, and in a minimally conscious state [8, 45, 46]. The length of the stimulation sessions and the types of stimuli used within the sessions varied across studies. The various combinations of stimuli aimed at the different sensory channels could also involve (a) familiar objects to be manipulated, (b) physical contact with therapists or family members, and (c) the presence of (contact with) animals [47, 48].

Response-contingent stimulation is a strategy that involves the presentation of brief periods (e.g., 10 to 15 s) of stimulation considered to be preferred by the patients (thus allegedly motivating for them) contingent on specific responses performed by the patients [15, 49, 50]. In essence, the brief stimulation periods are delivered immediately after the emission of those specific responses. The responses targeted for stimulation delivery are typically selected based on the fact that (a) they are already present in the patients’ repertoire but have a low frequency of occurrence (so such frequency could be increased by a successful stimulation process; see below), and (b) they can be recorded in a reliable manner [51, 52, 53, 54, 55].

2. Similarities and Differences between the Response-Contingent Stimulation Strategy and the Other Strategies

The most obvious and relevant similarity consists in the fact that the response-contingent stimulation strategy uses stimulation events comparable to those that are employed by the other strategies. Specifically, response-contingent stimulation may involve the use of music, such as songs and instrumental pieces, voices of loved ones addressing the patients, as well as multimodal stimulation events (e.g., visual and auditory stimuli that may be delivered alternatively or in combination). Another general similarity between the response-contingent stimulation and the other strategies is that the type of stimulation presented to the patients is considered to be relevant/meaningful and pleasant for them [15, 25, 28, 50, 55].

Next to the aforementioned similarities, clear differences also exist between the response-contingent stimulation strategy and the other three strategies. One major difference is that the response-contingent strategy presents the stimulation events immediately after the patients’ emission of a specific behavioral response while the other strategies present the stimulation independent of any form of response (behavior) by the patients. A second difference concerns the length of the stimulation delivered to the patients. The response-contingent stimulation strategy typically uses brief stimulation events (e.g., 10- or 15-s events) after each response occurrence. The other strategies generally rely on longer periods of stimulation delivery [15, 55].

A third difference is that the implementation of the response-contingent stimulation strategy relies on the availability of a technology system that monitors through small sensors the patients’ responses (even minimal responses such as eye blinking and head or finger movements) and automatically delivers the stimulation right after the emission of those responses [55]. The implementation of the other strategies may be based (a) on simple technology devices that, once switched on, present the stimulation as scheduled, independent of the patients’ behavior or (b) on therapists, caregivers, or family members that can introduce variations in the types of stimulation scheduled and/or add forms of interaction with the patients [39, 56, 57].

A fourth difference is that response-contingent stimulation (contrary to the other strategies) is not really applicable with patients in a comatose state, that is, patients who apparently have no observable responses to monitor and target with stimulation events. A fifth difference concerns the goal of the stimulation process. In the response-contingent stimulation strategy, the stimulation events are used not simply as means to foster arousal and brain activation (as it typically occurs in the other strategies), but also as a way to motivate/reinforce specific behavioral responses of the patient (i.e., the responses that are followed by those events) with the view of increasing and strengthening the patient’s performance of those responses [15, 50, 53, 58, 59].

3. Application of Response-Contingent Stimulation as a Treatment Strategy for MCS Patients
3.1 Background

The application of this strategy with MCS patients, as stated above, is directed at promoting their performance of specific responses and associating those responses with the preferred environmental stimulation following them [59]. Indeed, MCS patients are considered to be capable of associating (learning the link between) their responding and the environmental stimulation contingent on such responding [55, 60, 61, 62, 63, 64]. Learning such a link enables them to acquire a level of self-determination, an active role within their own context, and thus ensure that they can be in charge of their stimulation input rather than being simple recipients of externally determined stimulation deliveries [15, 55, 58, 65]. The acquisition of such an active role and the underlying learning process may be viewed as highly valuable phenomena/experiences with relevant therapeutic implications for the advancement of the patients’ recovery process [15, 50, 51, 53, 55, 66, 67, 68]. The application of this strategy in the treatment of MCS patients has been reported in 14 studies including a total of 64 patients [50, 51, 52, 53, 54, 64, 69, 70, 71, 72, 73, 74, 75, 76]. Some of those studies are summarized below as a way to clarify how the strategy is set up and how it can work with the patients.

3.2 Illustrative Studies (with One Response Targeted)

Most of the studies carried out have focused on one response per patient. The response was selected based on the patient’s abilities and represented a behavior that had low frequency and could be reliably monitored through basic sensors (e.g., optic, touch, or tilt sensors). That response was then followed by preferred stimulation (i.e., stimulus events that were considered preferred/pleasant for the patient) during treatment. For example, Lancioni et al. [52] carried out a study involving five MCS patients (aged 37–78 years) with Coma Recovery Scale-Revised [CRS-R] scores of 8–13. All patients also presented with extensive motor impairment with lack of body and head control and absence of speech or any other communication means. For three patients, the response selected was a protracted eyelid closure. For the fourth patient, the response was finger movement. For the fifth patient, the response was a movement of the big toe. An optic sensor was used to detect the protracted eyelid response, a pressure sensor fixed inside the hand was used to detect finger movement, and a combination of two tilt sensors served to detect the movement of the big toe. The sensors were connected to a computer system that regulated the presentation of the stimulation events contingent on the selected responses during 5-min sessions. The stimulation events lasted 10 or 15 s and involved songs and instrumental music, which could be combined with familiar voices or videos. The study was conducted according to an ABAB design (i.e., a design in which A-baseline phases without stimulation were alternated with B-treatment phases, in which the emission of the aforementioned responses was followed by stimulation events) for each patient. Data showed that during the first treatment (B) phase, the response frequencies approximately doubled the values of the first baseline. Those frequencies showed a clear decline during the second baseline and increased again during the second treatment phase (i.e., exceeding the levels of the first treatment phase).

Lancioni et al. [70] completed a study with 11 MCS patients aged 38 to 81 years whose CRS-R scores varied between 7 and 16. The responses targeted for stimulation included protracted eyelid closure, repeated eyelid closure, hand closure, eyebrow upward movement, lateral head movement, and lips/mouth movement. Those responses (one per patient) were detected through optic sensors and touch and pressure sensors, which were linked to a computer system. Each patient was exposed to an ABAB design, which involved sessions lasting 5 min. During the B-treatment phases, the responses were followed by 10-s stimulation events, which included video clips of singing, praying, or eating and dancing, and audio-recordings of songs, comedy, and loved ones speaking to the patients. During the treatment phases, the patients’ mean frequencies of responses showed a two- or three-fold increase compared to the baseline values.

Lancioni et al. [71] carried out a replication of the studies described above with a group of 10 MCS patients (aged 25 to 81 years) who had CRS-R scores of 10 to 14. The responses selected as stimulation targets included protracted or repeated eyelid closures and head, hand/finger, foot or lip movements. Optic, touch or pressure sensors were used to detect the responses and to trigger a computer system that would provide 10-s stimulation events contingent on the occurrence of the responses. The stimuli included audio-visual clips of events such as singing, praying, and loved ones speaking to the patients. The results showed that during the intervention phases the mean response frequencies had a three-fold increase compared to the baseline levels.

Eight of the aforementioned 10 patients were also involved in a second investigation in which three stimulation conditions were rotated [71]. One was the response-contingent stimulation to which the patients were used. The second consisted of stimulation presented uninterruptedly for the 5-min sessions. The third involved the research assistant guiding the patients in the manipulation of common daily objects and talking about those objects and their use. Two measures were recorded during the sessions. One measure concerned the patient’s eyes (i.e., whether they were open or closed). The other measure concerned small body movements (other than the response used for activating the sensor available) that could suggest patient’s alertness and participation. Data showed that in the response-contingent condition, the presence of eyes closed was significantly lower than in one or both the other conditions for four patients, and the presence of movements was significantly higher than in the other conditions for six patients.

3.3 Illustrative Studies (with Two Responses Targeted)

The studies summarized above focused their response-contingent stimulation treatment on a single response per patient. Studies were also conducted in which the treatment was extended to two different responses. For example, Lancioni et al. [75] worked with two MCS patients of 53 and 56 years of age whose CRS-R scores were 11 and 12. The responses targeted in the study were finger movements and minimal head-nodding movements for one patient and upward eyelid movements and hand stroking for the other patient. Treatment focused on one response at a time. Then, treatment sessions on one response were alternated with treatment sessions on the other response within or across days. All sessions lasted 5 min. The responses were monitored via optic, touch/pressure, or tilt sensors, which were linked to an electronic control system that would deliver 10 or 15 s of preferred stimulation in connection with each response occurrence. Different stimulation events (i.e., popular music and videos) were used for the two responses. Both participants showed large increases of each of the two responses during the treatment sessions thus enriching their stimulation input and increasing their control of it.

Lancioni et al. [76] taught two MCS patients aged 35 and 60 years two responses (i.e., two different arm/hand movements or a hand and a foot movement). One of the responses led to the automatic delivery of about 10 s of preferred stimulation (i.e., as in the study described above) while the other response resulted in a call to the caregiver who would then intervene and talk to the patient and show the patient pictures, video clips, and other relevant material for about 20 s. The results were highly satisfactory with both patients displaying large increases of the two responses and rotating those responses during the single treatment sessions.

4. Application of Response-Contingent Stimulation as a Treatment and Assessment Strategy for Non-MCS Patients
4.1 Background

Treatment programs based on response-contingent stimulation may also be set up for people whose disorders of consciousness are not clearly defined or for people who have a diagnosis of VS (i.e., people who are supposed to have a plausible behavioral response to be used as target for stimulation events). For all these people, the treatment program might be carried out as described for MCS patients and might also be extended for assessment/diagnostic purposes. The program extension may involve the addition of a treatment phase in which the stimulation is provided without any relation to the patients’ responses (e.g., uninterruptedly throughout the session). The patients’ performance during this phase as opposed to their performance during the response-contingent treatment phase might help one to gather relevant clues about their functioning (discrimination) skills and thus might serve as a supplement to other assessment (e.g., behavioral and neuroimaging) procedures used in the diagnostic process [77, 78, 79, 80, 81, 82, 83]. The addition of a new treatment phase would modify the experimental design used for the study from a possible ABAB (as described in the studies summarized above) to a possible ABACAB or variations thereof, in which the C stands for a response-unrelated stimulation phase [49, 50, 84, 85, 86].

The frequency of the patients’ responding (i.e., the frequency of the response selected as the treatment target) would be typically expected to increase during the B-treatment phases due to the stimulation occurring contingent on the emission of the target response during those phases [58, 59, 87]. The nature of the patients’ response increase during the B phases might be explained based on their responding during the C phase. If during the C phase, the patient shows a response increase comparable to that observed during the B phases, one might draw two inferences. First, the patient does not discriminate the two (B and C) conditions and does not perceive the link (or lack of link) between response and stimulation in those conditions [87]. Second, the response increases observed in each of the conditions may be representative of a general activation of the autonomic nervous system and subcortical structures responsible of general arousal [15, 17, 68, 78, 88, 89, 90]. If during the C phase, the patient shows a decline in responding as compared to the B phases, one might interpret such decline (i.e., response differentiation) as a sign of discrimination between B and C conditions and presumably a sign of awareness of the instrumental role or absence of role of responding for stimulation access in the two conditions [13, 49, 52, 66, 67, 68, 84, 85, 91, 92, 93, 94]. In psychological terms, such discrimination and awareness could be taken to indicate a learning process and to suggest a patient’s non-reflective (pre-reflective) state of basic consciousness or of minimal self-awareness (i.e., awareness of changes occurring in the immediate environment) [66, 67, 71, 95, 96, 97]. In essence, patients able to successfully discriminate the C phase from the B phases and differentiate their behavior accordingly could be considered to be in a condition compatible with the minimally conscious state [49, 50, 91, 98, 99, 100, 101]. Conversely, persons unable to change their behavior across the C and B phases (i.e., unable to discriminate the C from the B phases) would be considered to be in a preconscious processing state [66, 87, 98, 102].

4.2 Illustrative Studies (with VS Patients)

Eight studies including a total of 18 patients have been carried out in which response-contingent stimulation was used as treatment and assessment strategy [49, 69, 84, 85, 86, 103, 104, 105]. Those studies used an extended experimental design that allowed one to compare the response-contingent stimulation with baseline conditions as well as with a control condition in which stimulation was provided independent of the patient’s responding. For example, Lancioni et al. [84] worked with three patients aged 17, 36 and 68 years, who had a diagnosis of VS and CRS-R scores of 4, 5, and 6. The responses consisted of protracted or simple eyelid closure, and a slight hand closure. The study was carried out according to an ABABCB design, in which A represented baseline phases with no stimulation; B treatment phases with stimulation contingent on the occurrence of the aforementioned eyelid- or hand-closure responses; and C a control phase with stimulation presented in a non-contingent manner (i.e., independent of the target response). Each phase included multiple 5-min sessions. The stimulation, which was deemed to be pleasant for the patients, included a variety of songs and music pieces and video clips.

During the first B phase, the patients had a (near) two-fold or a four-fold increase in responding compared to the first baseline. Responding declined during the second baseline to increase again during the second B phase and remain high during the last B phase. In the C phase, two patients had either a very large or a moderate but still visible response decline (both declines were statistically significant p < 0.01). The third patient had virtually no decline. In essence, the B phases were an effective treatment to increase responding for all patients. The B and C phases showed that one patient had strong discrimination between conditions. A second patient also showed discrimination (albeit not as strong and consistent as the first). Their discrimination performances were viewed as suggestive of possibly different levels within a non-reflective minimal consciousness state. The third patient showed responding with no discrimination and this was thought to be suggestive of a preconscious processing state with clear sensory-motor activation (i.e., a state that is between a subliminal processing state where no response to external stimuli is present and a non-reflective minimal consciousness state [67, 86, 98, 102]).

Kim et al. [103] worked with a 65-year old VS patient who had a CRS-R score of 4. The response selected for the delivery of contingent stimulation was eye blinking. This response was detected through an optic sensor linked to an electronic control device. The study was carried out according to an ABABCB design comparable with that described in the previous study. Stimulation consisted of brief presentations of preferred pictures, voices, and hymns, which occurred contingent on eye blinking responses (during B phases) and independent of eye blinking responses (during the C phase). Data showed that the patient’s mean frequency of responses had a strong increase during the B phases and a large decline during the C phase. The difference between the B and C frequencies was taken as a sign of discrimination learning and suggestive of a state of non-reflective minimal consciousness.

Lancioni et al. [49] carried out a study with seven patients of 27 to 82 years of age. At the start of the study four patients had a diagnosis of MCS (with CRS-R scores of 7 to 12) and three a diagnosis of VS (with CRS-R scores of 5 to 7). The study included an ABACB sequence, in which A, B and C represented baseline, treatment and control phases. During the B phases, each response occurrence was followed by 10 s of preferred audio-visual stimulation (e.g., video clips of singing, comedy and family events). During the C phase, the same stimuli were available continuously during the sessions. Data showed that the patients’ response frequencies during the B phases were two- to three-fold their A-baseline levels. During the C phase, all patients had response frequencies comparable to those observed during the A phases. These findings showed that all patients (a) benefited from the B (treatment) phases, and (b) had clear discrimination between the B and C conditions. This discrimination confirmed the diagnosis of MCS for the four patients with such a diagnosis at the start of the study and suggested a similar diagnosis also for the three who had been reported to be in a VS.

5. Discussion
5.1 Effectiveness of the Response-Contingent Stimulation Strategy

The data reported by the studies using response-contingent stimulation as a treatment strategy seem to be highly encouraging as to the effectiveness of this strategy to help MCS patients to increase their responding and learn to use such responding to control environmental stimulation. It may be interesting to note that these data are in line with data reported by studies involving people with extensive intellectual and multiple disabilities (i.e., people sharing a variety of behavioral and functional characteristics with MCS patients) [93, 106, 107, 108, 109, 110]. Working to allow the patient to control environmental stimulation may be more beneficial than making the patient rely on others for stimulation. In the first case (i.e., with the use of response-contingent stimulation), the patient is encouraged and enabled to develop initiative and self-determination, that is, to acquire two behavioral skills that may be relevant in fostering the interaction with the environment and the recovery process. In the other cases (i.e., with the use of the other strategies available) the patient remains largely dependent on external agents without any specific development in terms of responses and initiative [15]. Obviously, the response-contingent stimulation strategy can achieve the successful results reported above only through the support of specific technology systems including sensors and electronic control (computer) devices. The technology is set up to monitor the responses selected and ensure that the occurrence of such responses is met with stimulation in a consistent and reliable manner.

The use of the response-contingent stimulation strategy in combination with non-contingent stimulation for assessment purposes may be considered fairly effective and promising on at least two counts. First, its use provides evidence that a number of patients who receive a diagnosis of unresponsive wakefulness via behavioral scales (e.g., CRS-R) may show signs of learning (i.e., the ability to discriminate two different situations and to adjust their behavior to those situations). Such evidence may help modify their diagnosis and recovery/rehabilitation perspectives [49, 103, 111, 112]. Second, the assessment component of the strategy (a) may be viewed as part of the general treatment program more than as a separate/independent procedure [26, 112, 113, 114] and thus (b) might be taken to represent a moderate extra cost of the treatment process.

5.2 Accessibility and Affordability of the Strategy

With regard to the issue of accessibility, the most immediate question is whether the technology used for the response-contingent treatment strategy can be readily and directly set up by different professionals within different contexts. The answer to this question is twofold. First, while some of the sensors employed in the studies reported (i.e., optic and touch sensors) were specifically arranged for the purpose of the investigations, those sensors can now be largely replaced by commercial technology that can be easily available. This makes the basic (technological) component of the strategy accessible to a vast number of professionals or caregivers interested in applying it.

Second, setting up the technology is only one part of the preparatory work for a successful implementation of the strategy. The other part, which would also be considered fairly accessible to professionals and caregivers, involves the selection of (a) the response(s) that should be followed by stimulation, (b) the types of stimulation to use contingent on the response(s), and (c) the duration of the stimulation events set to follow the single emissions of the response(s). With regard to the responses, one would need to ensure that they are already present in the patient’s repertoire but at low frequency (so it would be possible for those responses to grow in frequency/strength and show the strategy’s impact level). The stimuli should be relevant/meaningful and also include variations so as to remain effective/motivating over time [87]. The duration of the single stimulation events following the single response occurrences could be relatively short (e.g., 10–15 s) as indicated by a number of studies with people with disorders of consciousness and people with intellectual and multiple disabilities [15, 107, 115, 116].

With regard to the issue of affordability, the basic question concerns the amount of staff or caregiver’s time needed for the implementation of the strategy. Two considerations may be relevant here. First, the implementation of the strategy is based on the use of technology that serves to monitor responding and deliver stimulation. This makes the strategy’s demand on staff or caregiver’s time relatively light and thus reasonably compatible with other duties and commitments these personnel have during the day. Second, the use of new (advanced) technology in substitution of the sensors employed in the studies reported so far (a) can further simplify the implementation of the strategy (minimizing the need for staff supervision/intervention) and thus (b) can facilitate an extension of the strategy’s use across various periods of the day, that is, periods in which patients show a condition of wakefulness.

6. Conclusion and Future Research

In light of the studies reviewed and of the issues discussed above, one could argue that the response-contingent stimulation strategy appears to be a useful treatment and assessment resource for professionals working with MCS or VS patients. It may also be added that the applicability of the strategy would at present be enhanced by the availability and continuous upgrading of a number of commercial technology devices and software applications that are easily accessible and readily usable within a variety of daily contexts. New research will need to extend the evidence so far available with regard to the strategy through systematic replication studies entailing new patients and new technology as well as the direct involvement of new research groups [117, 118]. Positive outcomes of the studies and involvement of different groups of researchers (professionals) in carrying out the studies would be critical (a) to further substantiate the strategy’s impact and refine its setup and implementation process, and (b) to help the strategy become a practical tool within rehabilitation and care contexts where the need for supplementary treatment and assessment means is still apparently high [111, 114, 119, 120, 121, 122].

Author Contributions

GEL was responsible for conceiving the article, collecting the material, and writing and editing the manuscript. MOB collaborated in setting up the article, and writing, reviewing and editing the manuscript. NNS, MOR, JS, GA and LD collaborated in writing, reviewing and editing the manuscript.

Ethics Approval and Consent to Participate

Not applicable.

Acknowledgment

Not applicable.

Funding

This research received no external funding.

Conflict of Interest

The authors declare no conflict of interest.

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References
[1]
Fingelkurts AA, Fingelkurts AA, Bagnato S, Boccagni C, Galardi G. Long-term (six years) clinical outcome discrimination of patients in the vegetative state could be achieved based on the operational architectonics EEG analysis: a pilot feasibility study. The Open Neuroimaging Journal. 2016; 10: 69–79.
[2]
Lopez-Rolon A, Vogler J, Howell K, Shock J, Czermak S, Heck S, et al. Severe disorders of consciousness after acquired brain injury: a single-centre long-term follow-up study. NeuroRehabilitation. 2017; 40: 509–517.
[3]
Monti MM. Cognition in the Vegetative State. Annual Review of Clinical Psychology. 2012; 8: 431–454.
[4]
Naccache L. Minimally conscious state or cortically mediated state? Brain. 2018; 141: 949–960.
[5]
Stokes V, Gunn S, Schouwenaars K, Badwan D. Neurobehavioural assessment and diagnosis in disorders of consciousness: a preliminary study of the Sensory Tool to Assess Responsiveness (STAR). Neuropsychological Rehabilitation. 2018; 28: 966–983.
[6]
Thibaut A, Schiff N, Giacino J, Laureys S, Gosseries O. Therapeutic interventions in patients with prolonged disorders of consciousness. The Lancet Neurology. 2019; 18: 600–614.
[7]
Bagnato S, Boccagni C, Sant’Angelo A, Fingelkurts AA, Fingelkurts AA, Gagliardo C et al. Long-lasting coma. Functional Neurology. 2014; 29: 201.
[8]
Rahimi F, Salehi K, Seidi J. The effect of pleasant audio stimulation on the level of consciousness of comatose patient: a randomized clinical trial. Acta Medica Mediterranea. 2019; 35: 985.
[9]
Spataro R, Heilinger A, Allison B, De Cicco D, Marchese S, Gregoretti C, et al. Preserved somatosensory discrimination predicts consciousness recovery in unresponsive wakefulness syndrome. Clinical Neurophysiology. 2018; 129: 1130–1136.
[10]
Thibaut A, Bodien YG, Laureys S, Giacino JT. Minimally conscious state “plus”: diagnostic criteria and relation to functional recovery. Journal of Neurology. 2020; 267: 1245–1254.
[11]
Bagnato S, Boccagni C, Sant’Angelo A, Fingelkurts AA, Fingelkurts AA, Galardi G. Longitudinal Assessment of Clinical Signs of Recovery in Patients with Unresponsive Wakefulness Syndrome after Traumatic or Nontraumatic Brain Injury. Journal of Neurotrauma. 2017; 34: 535–539.
[12]
Bagnato S, Prestandrea C, D’Agostino T, Boccagni C, Rubino F. Somatosensory evoked potential amplitudes correlate with long-term consciousmess recovery in patients with unresponsive wakefulness syndrome. Clinical Neuroohysiology. 2021; 132: 793–799.
[13]
Fins JJ, Schiff ND. Differences that Make a Difference in Disorders of Consciousness. AJOB Neuroscience. 2017; 8: 131–134.
[14]
Fins JJ, Bernat JL. Ethical, palliative, and policy considerations in disorders of consciousness. Neurology. 2018; 91: 471–475.
[15]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Desideri L. Behavioral intervention approaches for people with disorders of consciousness: a scoping review. Disability and Rehabilitation. 2021. (in press)
[16]
Attwell C, Jöhr J, Pincherle A, Pignat J, Kaufmann N, Knebel J, et al. Neurosensory stimulation outdoors enhances cognition recovery in cognitive motor dissociation: a prospective crossover study. NeuroRehabilitation. 2019; 44: 545–554.
[17]
Cheng L, Cortese D, Monti MM, Wang, F, Riganello F, Arcuri F, et al. Do sensory stimulation programs have an impact on consciousness recovery? Frontiers in Neurology. 2018; 9: 826.
[18]
Houston AL, Wilson NS, Morrall MC, Lodh R, Oddy JR. Interventions to improve outcomes in children and young people with unresponsive wakefulness syndrome following acquired brain injury: a systematic review. European Journal of Paediatric Neurology. 2020; 25: 40–51.
[19]
Gao Y, Ma L, Liang F, Zhang Y, Yang L, Liu X, et al. The use of amantadine in patients with unresponsive wakefulness syndrome after severe cerebral hemorrhage. Brain Injury. 2020; 34: 1084–1088.
[20]
Ma HM, Zafonte RD. Amantadine and memantine: a comprehensive review for acquired brain injury. Brain Injury. 2020; 34: 299–315.
[21]
Hermann B, Raimondo F, Hirsch L, Huang Y, Denis-Valente M, Pérez P, et al. Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness. Scientific Reports. 2020; 10: 4323.
[22]
Li S, Dong X, Sun W, Zhao N, Yu G, Shuai L. Effects of transcranial direct current stimulation on patients with disorders of consciousness after traumatic brain injury: study protocol for a randomized, double-blind controlled trial. Trials. 2019; 20: 596.
[23]
He RH, Wang HJ, Zhou Z, Fan JZ, Zhang SQ, Zhong YH. The influence of high-frequency repetitive transcranial magnetic stimulation on endogenous estrogen in patients with disorders of consciousness. Brain Stimulation. 2021; 14: 461–466.
[24]
Pink AE, Williams C, Alderman N, Stoffels M. The use of repetitive transcranial magnetic stimulation (rTMS) following traumatic brain injury (TBI): a scoping review. Neuropsychological Rehabilitation. 2021; 31: 479–505.
[25]
Heine L, Tillmann B, Hauet M, Juliat A, Dubois A, Laureys S, et al. Effects of preference and sensory modality on behavioural reaction in patients with disorders of consciousness. Brain Injury. 2017; 31: 1307–1311.
[26]
Magee WL. Music in the diagnosis, treatment and prognosis of people with prolonged disorders of consciousness. Neuropsychological Rehabilitation. 2018; 28: 1331–1339.
[27]
Moattari M, Shirazi FA, Sharifi N, Zareh N. Effects of a sensory stimulation by nurses and families on level of cognitive function, and basic cognitive sensory recovery of comatose patients with severe traumatic brain injury: a randomized control trial. Trauma Monthly. 2016; 21: e23531.
[28]
Pape TL, Rosenow JM, Steiner M, Parrish T, Guernon A, Harton B, et al. Placebo-Controlled Trial of Familiar Auditory Sensory Training for Acute Severe Traumatic Brain Injury: a preliminary report. Neurorehabilitation and Neural Repair. 2015; 29: 537–547.
[29]
Varghese R, Sulochana B, D’Souza PJJ. Effectiveness of voice stimulus on the level of consciousness, physiological parameters and behavioural responses: a feasibility study. Clinical Epidemiology and Global Health. 2021; 9: 150–156.
[30]
Luauté J, Dubois A, Heine L, Guironnet C, Juliat A, Gaveau V, et al. Electrodermal reactivity to emotional stimuli in healthy subjects and patients with disorders of consciousness. Annals of Physical and Rehabilitation Medicine. 2018; 61: 401–406.
[31]
Wu M, Bao WX, Zhang J, Hu YF, Gao J, Luo BY. Effect of acoustic stimuli in patients with disorders of consciousness: a quantitative electroencephalography study. Neural Regeneration Research. 2018; 13: 1900–1906.
[32]
Altenmüller E, Schlaug G. Apollo’s gift: New aspects of neurologic music therapy. Progress in Brain Research. 2015; 217: 237–252.
[33]
Brown RM, Zatorre RJ, Penhune VB. Expert music performance: cognitive, neural, and developmental bases. Progress in Brain Research. 2015; 70: 57–86.
[34]
Schnackers C, Magee WL, Harris B. Sensory stimulation and music therapy programs for treating disorders of consciousness. Frontiers in Psychology. 2016; 7: 297.
[35]
Moghaddam F, Bousarri MP, Faghihzadeh S, Masoumi N. Effect of auditory stimulation by family voices and recitation of prayers on hemodynamic changes in comatose patients: a clinical trial with control group. Crescent Journal of Medical and Biological Sciences. 2016; 3: 60–66.
[36]
Sullivan EG, Guernon A, Blabas B, Herrold AA, Pape TL. Familiar auditory sensory training in chronic traumatic brain injury: a case study. Disability and Rehabilitation. 2018; 40: 945–951.
[37]
Pape TL, Rosenow JM, Harton B, Patil V, Guernon A, Parrish T, et al. Preliminary framework for Familiar Auditory Sensory Training (FAST) provided during coma recovery. The Journal of Rehabilitation Research and Development. 2012; 49: 1137–1152.
[38]
Pape TLB, Livengood SL, Kletzel SL, Blabas B, Guernon A, Bhaumik DK, et al. Neural connectivity changes facilitated by familiar auditory sensory training in disordered consciousness: a TBI pilot study. Frontiers in Neurology. 2020; 11: 1027.
[39]
Piperno R, Battistini A, Cevolani D, Maffei M, Leonardi M, Agati R. FMRI Activation with an “Affective Speech” Paradigm in Vegetative and Minimally Conscious States: Applicability and Prognostic Value. The Neuroradiology Journal. 2012; 25: 289–299.
[40]
Puggina ACG, da Silva MJP. Patients with disorders of consciousness: vital, facial and muscular responses to music or messages. Revista Brasileira de Enfermagem. 2015; 68: 94–102.
[41]
Boltzmann M, Schmidt SB, Gutenbrunner C, Krauss JK, Stangel M, Höglinger GU, et al. Auditory stimulation modulates resting-state functional connectivity in unresponsive wakefulness syndrome patients. Frontiers in Neurology. 2021; 15: 554194
[42]
Chuaykarn U, Jitpanya C. Effects of two sensory stimulation models on recovery in adults with severe traumatic brain injury. International Journal of Medical Research & Health Sciences. 2017; 6: 69–74.
[43]
Megha M, Harpreet S, Nayeem Z. Effect of frequency of multimodal coma stimulation on the consciousness levels of traumatic brain injury comatose patients. Brain Injury. 2013; 27: 570–577.
[44]
Zuo J, Tao Y, Liu M, Feng L, Yang Y, Liao L. The effect of family-centered sensory and affective stimulation on comatose patients with traumatic brain injury: a systematic review and meta-analysis. International Journal of Nursing Studies. 2021; 115: 103846.
[45]
Salmani F, Mohammadi E, Rezvani M, Kazemnezhad A. The effects of family-centered affective stimulation on brain-injured comatose patients’ level of consciousness: a randomized controlled trial. International Journal of Nursing Studies. 2017; 74: 44–52.
[46]
Toulaby T, Adineh M, Gholami M, Heidari Soureshjani R. A comparative study about the impact of sensory stimulation performed by family members and nurses on vital signs of patients at ICU: a randomized clinical trial. IIOAB Journal. 2016; 7: 150–155.
[47]
Di Stefano C, Cortesi A, Masotti S, Simoncini L, Piperno R. Increased behavioural responsiveness with complex stimulation in VS and MCS: Preliminary results. Brain Injury. 2012; 26: 1250–1256.
[48]
Hediger K, Petignat M, Marti R, Hund-Georgiadis M. Animal-assisted therapy for patients in a minimally conscious state: a randomized two treatment multi-period crossover trial. PLoS ONE. 2019; 14: e0222846.
[49]
Lancioni GE, Bosco A, Olivetti Belardinelli M, Singh NN, O’Reilly MF, Sigafoos J, et al. Assessing learning as a possible sign of consciousness in post-coma persons with minimal responsiveness. Frontiers in Human Neuroscience. 2014; 8: 25.
[50]
Lancioni GE, Singh NN, O’Reilly MF, Green VA, Buonocunto F, Sacco V, et al. Microswitch-aided programs with contingent stimulation versus general stimulation programs for post-coma persons with multiple disabilities. Developmental Neurorehabilitation. 2014; 17: 251–258.
[51]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Amenduni MT, Navarro J, et al. Microswitch technology and contingent stimulation to promote adaptive engagement in persons with minimally conscious state: a case evaluation. Cognitive Processing. 2012; 13: 133–137.
[52]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Belardinelli MO, Buonocunto F, et al. Promoting adaptive behavior in persons with acquired brain injury, extensive motor and communication disabilities, and consciousness disorders. Research in Developmental Disabilities. 2012; 33: 1964–1974.
[53]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Olivetti Belardinelli M, Buonocunto F, et al. Technology-aided programs for post-coma patients emerged from or in a minimally conscious state. Frontiers in Human Neuroscience. 2014; 8: 931.
[54]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Buonocunto F, D’Amico F, et al. Occupation and communication programs for post-coma persons with or without consciousness disorders who show extensive motor impairment and lack of speech. Research in Developmental Disabilities. 2014; 35: 1110–1118.
[55]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Desideri L. Music stimulation for people with disorders of consciousness: A scoping review. Brain Sciences. 2021; 11: 858.
[56]
Maggio MG, Naro A, La Rosa G, Cambria A, Lauria P, Billeri L. Virtual reality based cognitive rehabilitation in minimally conscious state: a case report with EEG findings and systematic literature review. Brain Sciences. 2020; 10: 414.
[57]
Steinhoff N, Heine AM, Vogl J, Weiss K, Aschraf A, Hajek P, et al. A pilot study into the effects of music therapy on different areas of the brain of individuals with unresponsive wakefulness syndrome. Frontiers in Neurosciece. 2015; 9: 291.
[58]
Catania AC. Learning. 5th edn. Sloan Publishing: New York. 2013.
[59]
Kazdin AE. Behavior modification in applied settings. 7th edn. Waveland Press: New York. 2012.
[60]
Beal E. Learning in disorders of conscious. Nature Reviews Neurology. 2009; 5: 637.
[61]
Bekinschtein TA, Shalom DE, Forcato C, Herrera M, Coleman MR, Manes FF, et al. Classical conditioning in the vegetative and minimally conscious state. Nature Neuroscience. 2009; 12: 1343–1349.
[62]
Birch J, Ginsburg S, Jablonka E. Unlimited Associative Learning and the origins of consciousness: a primer and some predictions. Biology and Philosophy. 2020; 35: 56.
[63]
Bronfman ZZ, Ginsburg S, Jablonka E. The transition to minimal consciousness through the evolution of associative learning. Frontiers in Psychology. 2016; 7: 1954.
[64]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, D’Amico F, Buonocunto F, et al. Assistive technology to help persons in a minimally conscious state develop responding and stimulation control: Performance assessment and social rating. NeuroRehabilitation. 2015; 37: 393–403.
[65]
Wehmeyer ML. The importance of self-determination to the quality of life of people with intellectual disability: A perspective. International Journal of Environmental Research and Public Health. 2020; 17: 7121.
[66]
Bosco A, Lancioni GE, Belardinelli MO, Singh NN, O’Reilly MF, Sigafoos J. Learning as a possible sign of non-reflective consciousness in persons with a diagnosis of vegetative state and pervasive motor impairment. Cognitive Processing. 2009; 10: 355–359.
[67]
Bosco A, Lancioni GE, Olivetti Belardinelli M, Singh NN, O’Reilly MF, Sigafoos J. Vegetative state: efforts to curb misdiagnosis. Cognitive Processing. 2010; 11: 87–90.
[68]
Lancioni GE, Bosco A, O’Reilly MF, Sigafoos J, Belardinelli MO. Assessment and Intervention with Patients with Severe Disorders of Consciousness. Advances in Neurodevelopmental Disorders. 2017; 1: 196–202.
[69]
Lancioni GE, Olivetti Belardinelli M, Oliva D, Signorino, M, De Tommamso M, Megna G, et al. Successful extension of assessment and rehabilitation intervention for an adolescent with postcoma multiple disabilities through a learning setup. European Journal of Physical Rehabilitation and Medicine. 2008; 44: 449–453.
[70]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, D’Amico F, Buonocunto F, et al. Helping people in a minimally conscious state develop responding and stimulation control through a microswitch-aided program. European Journal of Physical and Rehabilitation Medicine. 2017; 53: 433–440.
[71]
Lancioni GE, O’Reilly MF, Sigafoos J, D’Amico F, Buonocunto F, Devalle G, et al. A further Evaluation of Microswitch-Aided Intervention for Fostering Responding and Stimulation Control in Persons in a Minimally Conscious State. Advances in Neurodevelopmental Disorders. 2018; 2: 322–331.
[72]
Lancioni GE, O’Reilly MF, Singh NN, Buonocunto F, Sacco V, Colonna F, et al. Technology-based intervention options for post-coma persons with minimally conscious state and pervasive motor disabilities. Developmental Neurorehabilitation. 2009; 12: 24–31.
[73]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Buonocunto F, Sacco V, et al. Mictoswitch- and Voca-assisted programs for two post-coma persons with minimally conscious state and pervasive motor disabilities. Research in Developmental Disabilities. 2009; 30: 1459–1467.
[74]
Lancioni GE, O’Reilly MF, Singh NN, Sigafoos J, Buonocunto F, Sacco V, et al. Persons with Acquired Brain Injury and Multiple Disabilities Access Stimulation Independently through Microswitch-Based Technology. Perceptual and Motor Skills. 2010; 111: 485–495.
[75]
Lancioni GE, O’Reilly MF, Singh NN, Buonocunto F, Sacco V, Colonna F, et al. Post-coma Persons with Minimal Consciousness and Motor Disabilities Learn to Use Assistive Communication Technology to Seek Environmental Stimulation. Journal of Developmental and Physical Disabilities. 2010; 22: 119–129.
[76]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Buonocunto F, Sacco V, et al. Two persons with severe post-coma motor impairment and minimally conscious state use assistive technology to access stimulus events and social contact. Disability and Rehabilitation: Assistive Technology. 2009; 4: 367–372.
[77]
Bareham CA, Roberts N, Allanson J, Hutchinson PJA, Pickard JD, Menon DK, et al. Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness. NeuroImage: Clinical. 2020; 28: 102372.
[78]
Edlow BL, Claassen J, Schiff ND, Greer DM. Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies. Nature Reviews Neurology. 2021; 17: 135–156.
[79]
Estraneo A, Fiorenza S, Magliacano A, Formisano R, Mattia D, Grippo A, et al. Multicenter prospective study on predictors of short-term outcome in disorders of consciousness. Neurology. 2020; 95: e1488–e1499.
[80]
Kondziella D, Bender A, Diserens K, van Erp W, Estraneo A, Formisano R, et al. European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. European Journal of Neurology. 2020; 27: 741–756.
[81]
Pincherle A, Rossi F, Jöhr J, Dunet V, Ryvlin P, Oddo M, et al. Early discrimination of cognitive motor dissociation from disorders of consciousness: pitfalls and clues. Journal of Neurology. 2021; 268: 178–188.
[82]
Sanz LRD, Thibaut A, Edlow BL, Laureys S, Gosseries O. Update on neuroimaging in disorders of consciousness. Current Opinion in Neurology. 2021; 34: 488–496.
[83]
Wannez S, Heine L, Thonnard M, Gosseries O, Laureys S. The repetition of behavioral assessments in diagnosis of disorders of consciousness. Annals of Neurology. 2017; 81: 883–889.
[84]
Lancioni G, O’Reilly M, Singh N, Buonocunto F, Sacco V, Colonna F, et al. Evaluation of technology-assisted learning setups for undertaking assessment and providing intervention to persons with a diagnosis of vegetative state. Developmental Neurorehabilitation. 2009; 12: 411–420.
[85]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Buonocunto F, Sacco V, et al. A technology-assisted learning setup as assessment supplement for three persons with a diagnosis of post-coma vegetative state and pervasive motor impairment. Research in Developmental Disabilities. 2009; 30: 1034–1043.
[86]
Lancioni G, Singh N, O’Reilly M, Olivetti M, de Tommaso M, Navarro J, et al. A learning assessment procedure as a test supplement for monitoring progress with two post-coma persons with a diagnosis of vegetative state. Developmental Neurorehabilitation. 2011; 14: 358–365.
[87]
Pierce WD, Cheney CD. Behavior analysis and learning. 6th edn. Routledge: New York. 2017.
[88]
Calderon DP, Kilinc M, Maritan A, Banavar JR, Pfaff D. Generalized CNS arousal: an elementary force within the vertebrate nervous system. Neuroscience and Biobehavioral Reviews. 2016; 68: 167–176.
[89]
Chennu S, Bekinschtein TA. Arousal modulates auditory attention and awareness: Insights from sleep, sedation, and disorders of consciousness. Frontiers in Psychology. 2012; 3: 65.
[90]
Leo A, Naro A, Cannavò A, Pisani LR, Bruno R, Salviera C, et al. Could autonomic system assessment be helpful in disorders of consciousness diagnosis? A neurophysiological study. Experimental Brain Research. 2016; 234: 2189–2199.
[91]
Dehaene S, Changeux J. Experimental and Theoretical Approaches to Conscious Processing. Neuron. 2011; 70: 200–227.
[92]
Schnakers C, Hirsch M, Noé E, Llorens R, Lejeune N, Veeramuthu V, et al. Covert cognition in disorders of consciousness: a meta-analysis. Brain Science. 2020; 10: 930.
[93]
Saunders MD, Timler GR, Cullinan TB, Pilkey S, Questad KA, Saunders RR. Evidence of contingency awareness in people with profound multiple impairments: response duration versus response rate indicators. Research in Developmental Disabilities. 2003; 24: 231–245.
[94]
Walter J. Consciousness as a multidimensional phenomenon: implications for the assessment of disorders of consciousness. Neuroscience of Consciousness. 2021; 2021: niab047.
[95]
Barnden JA. Pre-Reflective Self-Consciousness: A Meta-Causal Approach. Review of Philosophy and Psychology. 2022.
[96]
Cortese D, Riganello F, Arcuri F, Lucca L, Tonin P, Schnakers C, et al. The trace conditional learning of the noxious stimulus in UWS patients and its prognostic value in a GSR and HRV entropy study. Frontiers in Human Neuroscience. 2020; 14: 97.
[97]
Picolas C. Is the “minimally conscious state” patient minimally self-aware? Frontiers in Psychology. 2020; 11: 539665.
[98]
Dehaene S, Changeux J, Naccache L, Sackur J, Sergent C. Conscious, preconscious, and subliminal processing: a testable taxonomy. Trends in Cognitive Sciences. 2006; 10: 204–211.
[99]
Doerig A, Schurger A, Herzog MH. Hard criteria for empirical theories of consciousness. Cognitive Neuroscience. 2021; 12: 41–62.
[100]
Farisco M, Pennartz C, Annen J, Cecconi B, Evers K. Indicators and criteria of consciousness: ethical implications for the care of behaviourally unresponsive patients. BMC Medical Ethics. 2022; 23: 30.
[101]
Kean J. Minimally Conscious State. In Kreutzer JS, DeLuca J, Caplan B (eds.) Encyclopedia of Clinical Neuropsychology. Springer: New York, NY. 2011.
[102]
Kreitz C, Pugnaghi G, Memmert D. Guessing right: Preconscious processing in inattentional blindness. Quarterly Journal of Experimental Psychology. 2020; 73: 1055–1065.
[103]
Kim EJ, Park JM, Kim WH, Lee KL, Kim HN, Lee KE, et al. A learning set up for detecting minimally conscious state. Annals of Rehabilitation Medicine. 2012; 36: 428–431.
[104]
Lancioni GE, Belardinelli MO, Chiapparino C, Angelillo MT, Stasolla F, Singh NN, et al. Learning in Post-coma Persons with Profound Multiple Disabilities: Two Case Evaluations. Journal of Developmental and Physical Disabilities. 2008; 20: 209–216.
[105]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Tommaso MD, Megna G, et al. A learning assessment procedure to re-evaluate three persons with a diagnosis of post-coma vegetative state and pervasive motor impairment. Brain Injury. 2009; 23: 154–162.
[106]
Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Alberti G, Campodonico F. Persons with intellectual and multiple disabilities activate via non-verbal responses a smartphone’s Google Assistant to access preferred stimulation. International Journal of Developmental Disabilities. 2020; 1–10.
[107]
Roche L, Sigafoos J, Lancioni GE, O’Reilly MF, Green VA. Microswitch Technology for Enabling Self-Determined Responding in Children with Profound and Multiple Disabilities: a Systematic Review. Augmentative and Alternative Communication. 2015; 31: 246–258.
[108]
Stasolla F, Caffò AO. Promoting adaptive behaviors by two girls with Rett syndrome through a microswitch-based program. Research in Autism Spectrum Disorders. 2013; 7: 1265–1272.
[109]
Tam GM, Phillips KJ, Mudford OC. Teaching individuals with profound multiple disabilities to access preferred stimuli with multiple microswitches. Research in Developmental Disabilities. 2011; 32: 2352–2361.
[110]
Zorzi S, Marangone E, Giorgeschi F, Berteotti L. Promoting Choice Using Switches in People with Severe Disabilities: a Case Report. SAGE Open. 2022; 12: 21582440221082141.
[111]
Fitzpatrick-DeSalme E, Long A, Patel F, Whyte J. Behavioral Assessment of Patients with Disorders of Consciousness. Journal of Clinical Neurophysiology. 2022; 39: 4–11.
[112]
Karpin H, Misha T, Herling NT, Bartur G, Shahaf G. Bedside patient engagement monitor for rehabilitation in disorders of consciousness – demonstrative case-reports. Disability and Rehabilitation: Assistive Technology. 2022; 17: 539–548.
[113]
Bareham CA, Allanson J, Roberts N, Hutchinson PJA, Pickard JD, Menon DK, et al. Longitudinal assessments highlight long-term behavioural recovery in disorders of consciousness. Brain Communications. 2019; 1: fcz017.
[114]
Scott G, Carhart-Harris RL. Psychedelics as a treatment for disorders of consciousness. Neuroscience of Consciousness. 2019; 2019: niz003.
[115]
Shih C, Chang M, Shih C. A new limb movement detector enabling people with multiple disabilities to control environmental stimulation through limb swing with a gyration air mouse. Research in Developmental Disabilities. 2010; 31: 875–880.
[116]
Stasolla F, Caffò AO, Perilli V, Albano V. Experimental Examination and Social Validation of a Microswitch Intervention to Improve Choice-Making and Activity Engagement for Six Girls with Rett Syndrome. Developmental Neurorehabilitation. 2019; 22: 527–541.
[117]
Locey ML. The Evolution of Behavior Analysis: toward a Replication Crisis? Perspectives on Behavior Science. 2020; 43: 655–675.
[118]
Travers JC, Cook BG, Therrien WJ, Coyne MD. Replication Research and Special Education. Remedial and Special Education. 2016; 37: 195–204.
[119]
Aloi D, della Rocchetta AI, Ditchfield A, Coulborn S, Fernández-Espejo D. Therapeutic use of transcranial direct current stimulation in the rehabilitation of prolonged disorders of consciousness. Frontiers in Neurology. 2021; 12: 632572.
[120]
Wang J, Hu X, Hu Z, Sun Z, Laureys S, Di H. The misdiagnosis of prolonged disorders of consciousness by a clinical consensus compared with repeated coma-recovery scale-revised assessment. BMC Neurology. 2020; 20: 343.
[121]
Xiao J, He Y, Yu T, Pan J, Xie Q, Cao C, et al. Toward assessment of sound localization in disorders of consciousness using a hybrid audiovisual brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022; 30: 1422–1432.
[122]
Yang Y, Xu L, Dang Y, Xia X, He J, Zhao J. A meta-analysis on the efficiency of the time window of hyperbaric oxigen treatment on disorders of consciousness in China. Journal of Neurorestoratology. 2020; 8: 270–280.
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