Imagery-Focused Therapy for Visual Hallucinations: A Case Series.

INTRODUCTION: Visual hallucinations (VH) are more common than previously thought and are linked to higher levels of distress and disability in people with a psychotic illness. Despite this, scant attention has been given to VHs in the clinical literature, and the few therapy case series of cognitive behavioural therapy (CBT) published to date have not demonstrated reliable change. In other areas of clinical research, problematic mental imagery has been found to be more strongly related to negative affect in psychological disorders than negative linguistic thinking, and imagery focused techniques have commonly been found to improve the outcomes in CBT trials. Given VHs have many similarities with visual mental imagery and many of the distressing beliefs associated with VHs targeted in CBT are maintained by accompanying mental imagery (i.e., imaging a hallucinated figure attacking them), it seems plausible that an imagery-focused approach to treating VHs may be most effective. METHODS: The current study is a multiple baseline case series (N = 11) of a 10-session imagery-focused therapy for VH in a transdiagnostic sample. RESULTS: The study had good attendance and feedback, no adverse events and only one [seemly unrelated] drop-out, suggesting good feasibility, safety and acceptability. The majority of clients reported reduction on both full-scale measures (administered at 3 baselines, midtherapy, posttherapy and 3-month follow-up) and weekly measures of VH severity and distress, ranging from medium to large effect sizes. CONCLUSIONS: The case series suggests that an imagery-focused approach to treating VHs may be beneficial, with a recommendation for more rigorous clinical trials to follow.

Randomized Controlled Trial on Imaginal Retraining for Problematic Alcohol Use: A Dismantling Study.

Imaginal retraining (IR) is an approach-avoidance procedure that has shown promising results in previous studies. The aim of the present study was to dismantle the efficacy of IR's components in a randomized controlled trial (RCT). We conducted a RCT with nine conditions comprising eight intervention groups and a waitlist control group (WLC). Alcohol craving (primary outcome), consumption, depressive symptoms, quality of life, subjective appraisal, and side effects were assessed online at baseline, post intervention (6 weeks), and follow-up (12 weeks). The sample consisted of 426 participants (age: M = 47.22, SD = 11.82, women: 50.5%). The intervention groups received instructions for four different components of IR (mood induction, mental avoidance of unhealthy stimuli, motor avoidance of unhealthy stimuli, approach to healthy stimuli) that were each conveyed with or without prior psychoeducation (PE). The intervention was delivered online. At total of 163 individuals (42.9%) used the intervention at least once. No group differences were found for any primary or secondary outcome after Sidák correction. Uncorrected statistics showed effects of significantly decreased alcohol consumption for the approach + PE group in the intention-to-treat and the merged motor avoidance group in the per-protocol analyses at post assessment compared with the WLC. Exploratory moderation analyses revealed that individuals with high visualization skills benefited most. The authors conclude that visualization training and motivational components may increase the efficacy and adherence of IR.

Interventions Targeting Negative Mental Imagery in Social Anxiety: A Systematic Review and Meta-Analysis of Characteristics and Outcomes.

Psychological treatment for social anxiety disorder (SAD) has been found to be less effective than for other anxiety disorders. Targeting the vivid and distressing negative mental images typically experienced by individuals with social anxiety could possibly enhance treatment effectiveness. To provide both clinicians and researchers with an overview of current applications, this systematic review and meta-analysis aimed to evaluate the possibilities and effects of imagery-based interventions that explicitly target negative images in (sub)clinical social anxiety. Based on a prespecified literature search, we included 21 studies, of which 12 studies included individuals with a clinical diagnosis of SAD. Imagery interventions (k = 28 intervention groups; only in adults) generally lasted one or two sessions and mostly used imagery rescripting with negative memories. Others used eye movement desensitization and reprocessing and imagery exposure with diverse intrusive images. Noncontrolled effects on social anxiety, imagery distress and imagery vividness were mostly large or medium. Meta-analyses with studies with control groups resulted in significant medium controlled effects on social anxiety (d = -0.50, k = 10) and imagery distress (d = -0.64, k = 8) and a nonsignificant effect on imagery vividness. Significant controlled effects were most evident in individuals with clinically diagnosed versus subclinical social anxiety. Overall, findings suggest promising effects of sessions targeting negative mental images. Limitations of the included studies and the analyses need to be considered. Future research should examine the addition to current SAD treatments and determine the relevance of specific imagery interventions. Studies involving children and adolescents are warranted.

Gait Training-Based Motor Imagery and EEG Neurofeedback in Lokomat: A Clinical Intervention With Complete Spinal Cord Injury Individuals.

Robotic systems, such as Lokomat® have shown promising results in people with severe motor impairments, who suffered a stroke or other neurological damage. Robotic devices have also been used by people with more challenging damages, such as Spinal Cord Injury (SCI), using feedback strategies that provide information about the brain activity in real-time. This study proposes a novel Motor Imagery (MI)-based Electroencephalogram (EEG) Visual Neurofeedback (VNFB) system for Lokomat® to teach individuals how to modulate their own µ (8-12 Hz) and ß (15-20 Hz) rhythms during passive walking. Two individuals with complete SCI tested our VNFB system completing a total of 12 sessions, each on different days. For evaluation, clinical outcomes before and after the intervention and brain connectivity were analyzed. As findings, the sensitivity related to light touch and painful discrimination increased for both individuals. Furthermore, an improvement in neurogenic bladder and bowel functions was observed according to the American Spinal Injury Association Impairment Scale, Neurogenic Bladder Symptom Score, and Gastrointestinal Symptom Rating Scale. Moreover, brain connectivity between different EEG locations significantly ( [Formula: see text]) increased, mainly in the motor cortex. As other highlight, both SCI individuals enhanced their µ rhythm, suggesting motor learning. These results indicate that our gait training approach may have substantial clinical benefits in complete SCI individuals.

An eight-week single-blind randomised controlled trial on dual task balance training and motor imagery practice in ischaemic stroke survivors.

The purpose of this study was to find the effects of motor imagery on balance and mobility of stroke patients.This was a single-blind randomised controlled trial which included a total of 30 patients. These patients were assigned into two group: experimental (n=15) and control (n=15) by sealed envelope method. Functional Reach Test (FRT), Time Up and Go Test (TUGT), Berg Balance Scale (BBS), and Movement Imagery Questionnaire (MIQ) were used as assessment tools. The overall mean age of the participants was 52.63 ±8.78 years. Between groups analysis showed non-statistically significant difference (p>0.05) in FRT but significant difference in TUGT, BBS, and MIQ-3 (p<0.009) after eight weeks of training. Within group analysis showed statistically significant difference (p<0.05) for all outcome measures. This study concluded that motor imagery is an effective treatment strategy for improving balance and mobility in stroke patients and brings better results as compared to conventional treatments.

Mentalising imagery therapy for family dementia caregivers: protocol for a scoping review.

INTRODUCTION: Dementia is a growing public health concern, and providing long-term care for individuals affected by this condition is challenging for their family caregivers. While researchers have explored various intervention options to provide psychological support for dementia caregivers, mentalising imagery therapy (MIT) has gained significant recognition as an effective programme. Despite its significance and effectiveness, there is a lack of comprehensive scoping reviews of MIT in dementia caregiving. Thus, conducting such a review can provide valuable insights into the status and outcomes of MIT, identify gaps in existing research and provide recommendations for a more effective clinical practice. METHODS AND ANALYSIS: This study proposes a scoping review conducted according to the Joanna Briggs Institute, Arksey and O'Malley's methodological framework, as well as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension. PubMed, Web of Science, Embase, Scopus, CINAHL and PsycINFO databases will be searched while grey literature will be retrieved via Google Scholar. Covidence will be used to manage the literature selection process and remove duplicate publications. Two researchers will independently screen the literature according to the inclusion criteria, with any discrepancies resolved through discussions with a third researcher. Data will be presented in a structured tabular format, with a narrative synthesis providing an overview of the findings on the identified research gaps and the effectiveness of MIT in the field of dementia caregiving. ETHICS AND DISSEMINATION: In a scoping review, no ethical approval is necessary. The results will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: The scoping review protocol has been registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/FHRG8).

Effectiveness of Motor Imagery in the Rehabilitation of People With Parkinson's Disease: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVE: With more research completed using Motor imagery (MI) in people with Parkinson's disease, this study gathered and synthesized evidence on the use of MI for Parkinson's disease in improving rehabilitation outcomes. METHODS: Medical Literature Analysis and Retrieval System Online, Embase, Web of Science, The Cochrane Library, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, and Scopus were searched from inception to May 2023. We included randomized controlled trials that examine the effects of MI on individuals with Parkinson's disease. Two reviewers selected articles and extracted study characteristics and results independently. The Physiotherapy Evidence Database scale was used to assess the methodological quality. Mean differences and 95% confidence intervals were calculated. Heterogeneity was assessed using the I2 statistic. RESULTS: Thirteen articles with 12 studies were included, involving 320 individuals with Parkinson's disease, with moderate to high methodological quality (mean = 6.62/10). Compared with the control group, 3 articles reported significant greater improvements in cognitive function, 7 reported significant greater improvement in motor function, 1 article reported significant greater improvement in quality of life, and 1 reported significant greater confidence in daily task performance. No statistically significant effects were found in the meta-analyses. Conclusion. Results of individual articles were in favor of the MI intervention. No statistically significant results were found in the meta-analyses. This might be due to the small number of studies and the heterogeneity of interventions and outcome measures used. MI may be effective in improving some rehabilitation outcomes, but meta-analytic evidence is lacking. More research with larger sample size and less heterogeneous samples, interventions, and outcome measures, is warranted. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42021230556.

Aphantasia and involuntary imagery.

Aphantasia is a condition that is often characterized as the impaired ability to create voluntary mental images. Aphantasia is assumed to selectively affect voluntary imagery mainly because even though aphantasics report being unable to visualize something at will, many report having visual dreams. We argue that this common characterization of aphantasia is incorrect. Studies on aphantasia are often not clear about whether they are assessing voluntary or involuntary imagery, but some studies show that several forms of involuntary imagery are also affected in aphantasia (including imagery in dreams). We also raise problems for two attempts to show that involuntary images are preserved in aphantasia. In addition, we report the results of a study about afterimages in aphantasia, which suggest that these tend to be less intense in aphantasics than in controls. Involuntary imagery is often treated as a unitary kind that is either present or absent in aphantasia. We suggest that this approach is mistaken and that we should look at different types of involuntary imagery case by case. Doing so reveals no evidence of preserved involuntary imagery in aphantasia. We suggest that a broader characterization of aphantasia, as a deficit in forming mental imagery, whether voluntary or not, is more appropriate. Characterizing aphantasia as a volitional deficit is likely to lead researchers to give incorrect explanations for aphantasia, and to look for the wrong mechanisms underlying it.

Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.

Objective. The extensive application of electroencephalography (EEG) in brain-computer interfaces (BCIs) can be attributed to its non-invasive nature and capability to offer high-resolution data. The acquisition of EEG signals is a straightforward process, but the datasets associated with these signals frequently exhibit data scarcity and require substantial resources for proper labeling. Furthermore, there is a significant limitation in the generalization performance of EEG models due to the substantial inter-individual variability observed in EEG signals.Approach. To address these issues, we propose a novel self-supervised contrastive learning framework for decoding motor imagery (MI) signals in cross-subject scenarios. Specifically, we design an encoder combining convolutional neural network and attention mechanism. In the contrastive learning training stage, the network undergoes training with the pretext task of data augmentation to minimize the distance between pairs of homologous transformations while simultaneously maximizing the distance between pairs of heterologous transformations. It enhances the amount of data utilized for training and improves the network's ability to extract deep features from original signals without relying on the true labels of the data.Main results. To evaluate our framework's efficacy, we conduct extensive experiments on three public MI datasets: BCI IV IIa, BCI IV IIb, and HGD datasets. The proposed method achieves cross-subject classification accuracies of 67.32%, 82.34%, and 81.13%on the three datasets, demonstrating superior performance compared to existing methods.Significance. Therefore, this method has great promise for improving the performance of cross-subject transfer learning in MI-based BCI systems.

Working mechanisms of imagery rescripting (ImRs) in adult patients with childhood-related PTSD: a pilot study.

Background: Imagery rescripting (ImRs) has shown to be an effective treatment for posttraumatic stress disorders (PTSD) resulting from childhood-related trauma. The current theory is that the change of meaning of the trauma memory is central to the treatment. Several authors have suggested that the expression of needs, feelings and actions may act as potential healing factors, but little specific research aimed at (in)validating this hypothesis has been done so far.Objective: In this study we investigated to what extent the expression of inhibited action tendencies and the fulfilling of needs lead to the reduction of PTSD symptoms in clients with early childhood trauma.Method: Recordings of 249 therapy sessions of 24 ImRs treatments were rated with an observation instrument developed for this purpose, after which the scores were related to pre and posttreatment symptoms, assessed with the Impact of Events Scale-Revised (IES-R).Results: Scores on the IES-R decreased from pretreatment to posttreatment. The two subscales of the NATS (At-scale and N-scale)significantly predicted the posttreatment scores on the IES-R after controlling for the influence of pretreatment IES-R scores: the better the expression of inhibited action tendencies and the better the fulfilling of needs, the lower the symptoms after treatment.Conclusions: This pilot study on the underlying mechanisms of ImRs in PTSD treatment has shown that the expression of action tendencies and fulfilling basic needs during ImRs are associated with a decrease in PTSD symptoms after treatment, and that actions and basic needs cannot be viewed separately. Follow-up research could focus on which of the six domains of the Needs and Action tendencies Scale (NATS) has the greatest effect on the reduction of PTSD symptoms. With this information we can further improve the ImRs protocol.

The pilot study of working mechanisms of imaginary rescripting shows that the NATS is a reliable research tool for observing expressed action tendencies and fulfilled needs.The better the action tendencies are expressed during treatment and the better the needs are fulfilled, the lower posttreatment symptoms.It seems useful if practitioners are specifically trained during the ImRs training in performing actions that lead to the fulfilment of basic needs.

Land-use classification based on high-resolution remote sensing imagery and deep learning models.

High-resolution imagery and deep learning models have gained increasing importance in land-use mapping. In recent years, several new deep learning network modeling methods have surfaced. However, there has been a lack of a clear understanding of the performance of these models. In this study, we applied four well-established and robust deep learning models (FCN-8s, SegNet, U-Net, and Swin-UNet) to an open benchmark high-resolution remote sensing dataset to compare their performance in land-use mapping. The results indicate that FCN-8s, SegNet, U-Net, and Swin-UNet achieved overall accuracies of 80.73%, 89.86%, 91.90%, and 96.01%, respectively, on the test set. Furthermore, we assessed the generalization ability of these models using two measures: intersection of union and F1 score, which highlight Swin-UNet's superior robustness compared to the other three models. In summary, our study provides a systematic analysis of the classification differences among these four deep learning models through experiments. It serves as a valuable reference for selecting models in future research, particularly in scenarios such as land-use mapping, urban functional area recognition, and natural resource management.

No clear evidence of a difference between individuals who self-report an absence of auditory imagery and typical imagers on auditory imagery tasks.

Aphantasia is characterised by the inability to create mental images in one's mind. Studies investigating impairments in imagery typically focus on the visual domain. However, it is possible to generate many different forms of imagery including imagined auditory, kinesthetic, tactile, motor, taste and other experiences. Recent studies show that individuals with aphantasia report a lack of imagery in modalities, other than vision, including audition. However, to date, no research has examined whether these reductions in self-reported auditory imagery are associated with decrements in tasks that require auditory imagery. Understanding the extent to which visual and auditory imagery deficits co-occur can help to better characterise the core deficits of aphantasia and provide an alternative perspective on theoretical debates on the extent to which imagery draws on modality-specific or modality-general processes. In the current study, individuals that self-identified as being aphantasic and matched control participants with typical imagery performed two tasks: a musical pitch-based imagery and voice-based categorisation task. The majority of participants with aphantasia self-reported significant deficits in both auditory and visual imagery. However, we did not find a concomitant decrease in performance on tasks which require auditory imagery, either in the full sample or only when considering those participants that reported significant deficits in both domains. These findings are discussed in relation to the mechanisms that might obscure observation of imagery deficits in auditory imagery tasks in people that report reduced auditory imagery.

Coping with test anxiety using imagery rescripting: A two-session randomized controlled trial.

BACKGROUND: Up to 55 % of students experience test anxiety (TA), which is characterized by intense physiological and psychological symptoms before or during exams, such as anxiety, fear of failure, sweating, or increased heart rate. Furthermore, TA increases graduation times and can result in discontinuance of the graduate program all together. Previous research demonstrated the beneficial effects of combining cognitive behavioral therapy with imagery rescripting, however, treatment programs are comparably long. Hence, they do not account for the students´ time-sensitive schedules. Therefore, the present study investigates a two-session short-intervention using imagery rescripting to treat TA. METHODS: 44 students and pupils were randomly assigned to either the two-session imagery rescripting intervention (22 participants) or the waitlist-control condition (22 participants). One week before the intervention clinical interviews were conducted and self-report questionnaires on TA, self-efficacy, symptoms of depression, and intrusive prospective images were completed (T1). The same questionnaires were completed one week (T2) and six months after the intervention (T3). RESULTS: Test anxiety significantly decreased from T1 to T2, as well as from T1 to T3 within the intervention group. Furthermore, there were medium to large within and between group effects for situational test anxiety, self-efficacy, symptoms of depression, as well as prospective intrusive images, showing significant improvements for the intervention group at six months follow-up. LIMITATIONS: The study is limited to the comparably small sample size, as well as the sole usage of self-report measurements. CONCLUSIONS: The presented short-intervention provides a feasible treatment technique, which can be easily applied within school and university counseling centers.

Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients.

Robot-assisted motor training is applied for neurorehabilitation in stroke patients, using motor imagery (MI) as a representative paradigm of brain-computer interfaces to offer real-life assistance to individuals facing movement challenges. However, the effectiveness of training with MI may vary depending on the location of the stroke lesion, which should be considered. This paper introduces a multi-task electroencephalogram-based heterogeneous ensemble learning (MEEG-HEL) specifically designed for cross-subject training. In the proposed framework, common spatial patterns were used for feature extraction, and the features according to stroke lesions are shared and selected through sequential forward floating selection. The heterogeneous ensembles were used as classifiers. Nine patients with chronic ischemic stroke participated, engaging in MI and motor execution (ME) paradigms involving finger tapping. The classification criteria for the multi-task were established in two ways, taking into account the characteristics of stroke patients. In the cross-subject session, the first involved a direction recognition task for two-handed classification, achieving a performance of 0.7419 (±0.0811) in MI and 0.7061 (±0.1270) in ME. The second task focused on motor assessment for lesion location, resulting in a performance of 0.7457 (±0.1317) in MI and 0.6791 (±0.1253) in ME. Comparing the specific-subject session, except for ME on the motor assessment task, performance on both tasks was significantly higher than the cross-subject session. Furthermore, classification performance was similar to or statistically higher in cross-subject sessions compared to baseline models. The proposed MEEG-HEL holds promise in improving the practicality of neurorehabilitation in clinical settings and facilitating the detection of lesions.

Mechanisms of therapeutic change after psychedelic treatment in OCD.

Novel treatments are required for the 30-50% of individuals with obsessive-compulsive disorder (OCD) who remain resistant to first-line pharmacological and psychotherapeutic treatments. Recent pilot data suggest benefit from psilocybin-assisted psychotherapy (PAP) and from imagery rescripting (ImRs). We explore psychological mechanisms of change underpinning both interventions that appear to allow for reprocessing of negative emotions and core beliefs associated with past aversive events. A next critical step in PAP is the development of psychotherapeutic frameworks grounded in theory. We propose that basing PAP on an ImRs framework may provide synergistic benefits in symptom reduction, modification of core beliefs, and value-based living.

Effect of PTSD treatment on cardiovascular reactivity during trauma memory recall and correspondence with symptom improvement.

ABSTRACTBackground: Prior research has shown PTSD treatment leads to reductions in cardiovascular reactivity during trauma recall, but the extent to which such reductions are associated with changes in PTSD symptoms is less clear. Moreover, such relationships have not been investigated in a cognitively focused PTSD treatment.Objective: To examine changes in cardiovascular reactivity to the trauma memory in patients receiving cognitive processing therapy (CPT), CPT with a written trauma account, and a written account only condition. We also examined the association of such changes with symptom improvement.Method: 118 women with PTSD secondary to interpersonal violence completed pre- and post-treatment assessments of PTSD symptoms and cardiovascular reactivity during a script-driven imagery task.Results: Results indicated a significant but modest reduction in cardiovascular reactivity in CPT conditions. Changes in cardiovascular reactivity and reexperiencing symptoms were significantly associated among the whole sample. Among individuals with the greatest reactivity to the trauma memory at pretreatment, associations were also seen with changes in total PTSD, numbing, and trauma-related guilt.Conclusions: Results indicate that previous findings on the effect of PTSD treatment on cardiovascular reactivity during trauma recall extend to cognitively oriented treatment. Baseline cardiovascular reactivity may influence the extent to which reductions in PTSD symptoms and reactivity during trauma recall are related.

Cognitive Processing Therapy leads to reduced heart rate reactivity when recalling a trauma memory.Decreases in heart rate reactivity are associated with reduced reexperiencing symptoms.Changes in heart rate reactivity and PTSD symptoms are more closely related among patients with greater pretreatment reactivity.

Basic processes and clinical applications of mental imagery in worry: A systematic review.

BACKGROUND: In this systematic review, we aimed to synthesise existing research on the phenomenology of mental imagery among high worriers compared to healthy individuals, and to characterise the nature and effectiveness of existing imagery-related interventions in treatment of worry. METHODS: PsycInfo, CENTRAL, EMBASE, Medline, Medline Epub, and PubMed were searched for studies examining the relationship between worry/GAD and mental imagery, or interventions using imagery in treatment of worry/GAD. We assessed study quality and used qualitative narrative synthesis to comprehensively map study results. RESULTS: The search yielded 2589 abstracts that were assessed for eligibility independently by two authors. From this, 183 full texts were screened and 50 qualitatively synthesised. Twenty-seven reported an association between worry/GAD and an aspect of mental imagery. Here, overactive negative and worry imagery, and diminished positive future imagining, were associated with worry/GAD. Twenty-three studies reported an intervention. This literature suggested mixed findings regarding efficacy, including for imaginal exposure as an independent technique for GAD. CONCLUSIONS: Findings support dysfunctional negative imagining and diminished positive prospective imagery in GAD. General imagining abilities remain intact, which is promising for efforts to utilise imagery in treatment. Further research is warranted to develop innovative clinical applications of imagery in treatment of GAD.

The Development and Evaluation of the Kinesthetic Motor Imagery of Pelvic Floor Muscle Contraction Questionnaire (KMI-PFQ) in Spanish Women.

Practitioners have begun using motor imagery (MI) for preventing and treating some pelvic floor disorders. Due to requirements for imagining before performing a MI intervention and because there are few instruments available for assessing this specific ability in the pelvic floor musculature, we sought to develop and test a new MI questionnaire, the Kinesthetic Motor Imagery of Pelvic Floor Muscle Contraction Questionnaire (KMI-PFQ). We focused in this study on the development and analysis of the instrument's factorial structure and internal reliability in a participant sample of 162 healthy Spanish women (M age = 20.1, SD = 2.2 years). We developed and evaluated the KMI-PFQ's psychometric properties, finding it to have good internal consistency, with Cronbach's α = .838, ω coefficient = .839, and an intraclass correlation coefficient = .809, with two factors ("ability" and "mental effort") explaining 58.36% of response variance. The standard error of measurement was 3.58, and the minimal detectable change was 9.92. No floor or ceiling effects were identified. There was also good convergent validity as seen by statistically significant positive correlations between KMI-PFQ scores and the revised-Movement Image Questionnaire and Vividness of Visual Imagery Questionnaire. There were no statistically significant correlations between KMI-PFQ scores and the Orientation to Life Questionnaire. The KMI-PFQ is a valid and reliable instrument for measuring kinesthetic ability to feel/imagine pelvic floor muscle contractions in healthy Spanish women.

An imagery rescripting based intervention in children and adolescents who endured a negative life event: A pilot study, satisfaction and feasibility survey.

BACKGROUND AND OBJECTIVES: ImRs, a technique targeting distressing mental images, has shown promise in adult psychiatric treatment. Initial research indicates positive outcomes in children, with potential for reducing mental health care burden. This pilot study examined the use of Imagery Rescripting (ImRs) as an intervention for children who have experienced negative life events. We aimed to assess short-term emotional changes, participant satisfaction, and the feasibility of a larger-scale ImRs intervention for children. METHODS: We employed a pre-posttest within-group design, and included 35 children (ages 5-18) who experienced negative life events, as well as 12 coaches. ImRs targeted distressing images related to negative events. Measurement tools included Visual Analogue Scales for distress and emotions, along with satisfaction surveys for both children and coaches. The feasibility of a larger-scale study was also explored through a coach questionnaire. RESULTS: We found significant short-term improvements for all emotional states, with large effects for anxiety, sadness, and happiness, and a moderate effect for anger. Children reported fair levels of satisfaction with the intervention's acceptability and complexity. Coaches expressed high levels of satisfaction with the intervention as a whole and with its characteristics. Coaches were also strongly motivation for future, more in-depth research. An important limitation of this pilot study was the lack of a control group. In light of the promising results, more extensive studies with diagnostic information, multiple measures, and follow-up assessments are warranted. CONCLUSION: Altogether, imagery rescripting based interventions seem a promising venue for children who experienced negative events.

Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain-computer interface and exoskeleton.

BACKGROUND: Traditional therapist-based rehabilitation training for patients with movement impairment is laborious and expensive. In order to reduce the cost and improve the treatment effect of rehabilitation, many methods based on human-computer interaction (HCI) technology have been proposed, such as robot-assisted therapy and functional electrical stimulation (FES). However, due to the lack of active participation of brain, these methods have limited effects on the promotion of damaged nerve remodeling. NEW METHOD: Based on the neurofeedback training provided by the combination of brain-computer interface (BCI) and exoskeleton, this paper proposes a multimodal brain-controlled active rehabilitation system to help improve limb function. The joint control mode of steady-state visual evoked potential (SSVEP) and motor imagery (MI) is adopted to achieve self-paced control and thus maximize the degree of brain involvement, and a requirement selection function based on SSVEP design is added to facilitate communication with aphasia patients. COMPARISON WITH EXISTING METHODS: In addition, the Transformer is introduced as the MI decoder in the asynchronous online BCI to improve the global perception of electroencephalogram (EEG) signals and maintain the sensitivity and efficiency of the system. RESULTS: In two multi-task online experiments for left hand, right hand, foot and idle states, subject achieves 91.25% and 92.50% best accuracy, respectively. CONCLUSION: Compared with previous studies, this paper aims to establish a high-performance and low-latency brain-controlled rehabilitation system, and provide an independent and autonomous control mode of the brain, so as to improve the effect of neural remodeling. The performance of the proposed method is evaluated through offline and online experiments.