Catatonia

Gait examination in catatonia using 3D optical markerless motion tracking

BACKGROUND

Three-dimensional (3D) markerless motion capture (MoCap) systems are emerging as powerful tools for the objective assessment of sensori-/psychomotor abnormalities in mental disorders. However, the application of 3D-MoCap technology for gait analysis in catatonia remains unexplored.

METHODS

This study included 23 patients with and 53 patients without catatonia, classified according to ICD-11. Catatonia severity was assessed using the Northoff Catatonia Rating Scale (NCRS) and the Bush-Francis Catatonia Rating Scale (BFCRS). Gait was examined via a 3D markerless MoCap system, Salpêtrière Retardation Rating Scale (SRRS), the Unified Parkinson's Disease Rating Scale (UPDRS), and the Heidelberg Neurological Soft Signs Scale (NSS).

RESULTS

Principal component (PC) analysis of spatiotemporal gait parameters revealed four principal components, accounting for 51.98 % (PC1), 23.46 % (PC2), 7.98 % (PC3), and 6.3 % (PC4) of the total gait variance. PC1 was primarily characterized by time-dependent features such as cycle time and stance time, while PC2 predominantly captured space-dependent features, including stride length and stride width. PC1 was significantly reduced in the catatonia group (p < 0.05); however, it was not significantly associated with catatonia severity. Total scores and gait-related subitems of the SRRS and UPDRS scales differed significantly between the catatonia and non-catatonia groups (p < 0.05, corrected).

CONCLUSION

The results of this study demonstrates for the first time that 3D markerless MoCap can effectively quantify gait in catatonia, revealing alterations in temporal and spatial gait dynamics. Future research should explore the longitudinal effects of catatonia treatment on gait patterns and investigate potential biomarkers for disease monitoring.

Literary case study of psychosis: The Vegetarian

In the award-winning and widely-acclaimed fictional novel, The Vegetarian, the author, Han Kang, relates a compelling and dramatic story of inexorable psychotic deterioration from the perspective of a tragically affected young woman and her close family members. Apart from a variety of interpretations of psychosis from historical, social, psychological, and feminist perspectives, the book also presents a detailed and realistic picture of objective psychotic symptoms that reveals insights into historic and nearly forgotten phenomenological concepts. In this literary case study, we analyze the symptoms remarkably described by the author and briefly review the medical literature on the phenomena of catatonia, schizophrenic autism, paragnomen and the praecox-feeling.

Taking an evidence-based approach to ten common myths about catatonia: An educational review

Catatonia is a serious neuropsychiatric disorder associated with considerable morbidity and mortality. Despite growing interest in the disorder and the field's advancing understanding, a gap between research and clinical practice persists. This is particularly problematic as prompt recognition is essential to optimal management and improving outcomes. We present an educational review of ten common myths regarding the recognition, etiology, phenotype and management of catatonia. We address each myth using an evidence-based approach. A few salient considerations include the broad age range affected by catatonia, the fact that patients with catatonia often have preserved awareness of their surroundings and the importance of using validated catatonia screening instruments for reliable identification. By addressing these ten myths, we aim to reduce the gap between evidence and clinical practice to ultimately improve the care and clinical outcomes of people with catatonia.

Deciphering white matter microstructural alterations in catatonia according to ICD-11: replication and machine learning analysis

Catatonia is a severe psychomotor disorder characterized by motor, affective and cognitive-behavioral abnormalities. Although previous magnetic resonance imaging (MRI) studies suggested white matter (WM) dysconnectivity in the pathogenesis of catatonia, it is unclear whether microstructural alterations of WM tracts connecting psychomotor regions might contribute to a better classification of catatonia patients. Here, diffusion-weighted MRI data were collected from two independent cohorts (whiteCAT/replication cohort) of patients with (n = 45/n = 13) and without (n = 56/n = 26) catatonia according to ICD-11 criteria. Catatonia severity was examined using the Northoff (NCRS) and Bush-Francis (BFCRS) Catatonia Rating Scales. We used tract-based spatial statistics (TBSS), tractometry (TractSeg) and machine-learning (ML) to classify catatonia patients from tractometry values as well as tractomics features generated by the newly developed tool RadTract. Catatonia patients showed fractional anisotropy (FA) alterations measured via TractSeg in different corpus callosum segments (CC_1, CC_3, CC_4, CC_5 and CC_6) compared to non-catatonia patients across both cohorts. Our classification results indicated a higher level of performance when trained on tractomics as opposed to traditional tractometry values. Moreover, in the CC_6, we successfully trained two classifiers using the tractomics features identified in the whiteCAT data. These classifiers were applied separately to the whiteCAT and replication cohorts, demonstrating comparable performance with Area Under the Receiver Operating Characteristics (AUROC) values of 0.79 for the whiteCAT cohort and 0.76 for the replication cohort. In contrast, training on FA tractometry resulted in lower AUROC values of 0.66 for the whiteCAT cohort and 0.51 for the replication cohort. In conclusion, these findings underscore the significance of CC WM microstructural alterations in the pathophysiology of catatonia. The successful use of an ML based classification model to identify catatonia patients has the potential to improve diagnostic precision.

Treat to Sedation: Managing Intravenous Placement for Electroconvulsive Therapy in Autism with Intellectual Disability and Hyperactive Catatonia

Purpose: Catatonia is a severe psychomotor and mood-related disorder, which can significantly impact the quality of life for autistic individuals. Often, electroconvulsive therapy (ECT) is required for treatment of catatonia in autism. However, hyperactive, impulsive, and aggressive symptoms are common in this subpopulation. Thus, pharmacologic agents are needed to assist in obtaining intravenous (IV) access and placement of necessary monitoring leads when ECT is pursued. Here we report six patients with autism and hyperactive catatonia who successfully and safely received intramuscular (IM) ketamine to obtain IV access for ECT while prescribed high-dose benzodiazepines for catatonia. Methods: Using SlicerDicer software found within Epic Systems electronic medical record, we conducted a single-site retrospective analysis. All patients had a diagnosis of autism, were treated for hyperactive catatonia with ECT, and required the use of ketamine for safe IV placement. Diagnoses of autism and catatonia were confirmed per the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. Results: Six patients were identified. All patients met criteria for autism, intellectual disability, and catatonia. The patient's ages ranged from 10 to 30 years, and all were prescribed high doses of benzodiazepines for treatment of catatonia, with a mean dose of 24 mg per day in lorazepam equivalents. The patients' symptoms of hyperactive catatonia impaired the ability to obtain IV access. Thus, IM ketamine was received by all patients to facilitate this process. All patients were able to receive ECT. Conclusion: In all cases, IM ketamine was successfully used to obtain IV access and allow patients to receive ECT uneventfully. No serious adverse events were reported despite the coadministration of ketamine with high-dose benzodiazepines in this patient subpopulation.

High-Frequency Utilization of the Outpatient Messaging System in a Specialized Outpatient Catatonia Clinic for Individuals with Autism Spectrum Disorder

Purpose: Catatonia is a highly morbid psychomotor disorder that impacts autistic adults and children. There is very little literature that describes outpatient catatonia management practices, none of which discusses the use of the electronic health record (EHR). Thus, we conducted this study to analyze patient messages in a specialized catatonia clinic. Methods: We conducted a retrospective analysis of messaging practices in the EHR for patients in a specialized clinic with autism and catatonia from July 1, 2021, to May 31, 2024. Catatonic symptom severity was recorded via the Bush Francis Catatonia Rating Scale (BFCRS), Kanner Catatonia Severity Scale (KCS), and Kanner Catatonia Examination (KCE). We conducted Spearman and Pearson correlation coefficients to determine whether a relationship exists between the frequency of patient messages, catatonic symptoms, and length of follow-up. Results: A total of 12,972 messages were sent to the health system or received by the patient or their family. Of those, 6375 (49.1%) messages were sent from the family to the health system. Relationships between message frequency to the health system and all baseline catatonia severity scores (BFCRS, KCS, KCE) were not statistically significant, although message frequency was strongly associated with length of follow-up (r = 0.65, p < 0.001). A total of 5555 (42.8%) messages were sent directly to or received from providers in the catatonia specialty clinic. The rate of messages to providers in the catatonia clinic was 2.9 messages/day. Conclusion: The frequency of patient messaging was high in this catatonia specialty clinic. Health systems should consider this possibility when planning for similar service lines.

Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study

Objective

Catatonia was often complicated by pneumonia, and the development of severe pneumonia after admission posed significant challenges to its treatment. This study aimed to develop a Nomogram Model based on pre-admission characteristics of patients with catatonia to predict the risk of pneumonia after admission.

Methods

This retrospective observational study reviewed catatonia patients hospitalized at Hangzhou Seventh People's Hospital from September 2019 to November 2024. Data included demographic characteristics, medical history, maintenance medications, and pre-admission clinical presentations. Patients were divided into catatonia with and without pneumonia groups. The LASSO Algorithm was used for feature selection, and seven machine learning models: Decision Tree(DT), Logistic Regression(LR), Naive Bayes(NB), Random Forest(RF), K Nearest Neighbors(KNN), Gradient Boosting Machine(GBM), Support Vector Machine(SVM) were trained. Model performance was evaluated using AUC, Accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1 Score, Cohen's Kappa, and Brier Score, and Brier score. The best-performing model was selected for multivariable analysis to determine the variables included in the final Nomogram Model. The Nomogram Model was further validated through ROC Curves, Calibration Curves, Decision Curve Analysis (DCA), and Bootstrapping to ensure discrimination, calibration, and clinical applicability.

Results

Among 156 patients, 79 had no pneumonia, and 77 had pneumonia. LASSO Algorithm identified 15 non-zero coefficient variables (LASSO 1-SEλ=0.076). The GBM showed the best performance (AUC = 0.954, 95% CI: 0.924-0.983, vs other models by DeLong's test: P < 0.05). Five key variables: Age, Clozapine, Diaphoresis, Intake Refusal, and Waxy Flexibility were used to construct the Nomogram Model. Validation showed good discrimination (AUC = 0.803, 95% CI: 0.735-0.870), calibration, and clinical applicability. Internal validation (Bootstrapping, n=500) confirmed model stability (AUC = 0.814, 95% CI: 0.743-0.878; Hosmer-Lemeshow P = 0.525).

Conclusion

This study developed a Nomogram Model based on five key factors, demonstrating significant clinical value in predicting the risk of pneumonia in hospitalized patients with catatonia.

Electroconvulsive therapy in autism spectrum disorders: an update to the literature

PURPOSE OF REVIEW

Over the last quarter century, the clinical evidence surrounding the use of electroconvulsive therapy (ECT) in individuals with autism spectrum disorder (ASD) has expanded. This review provides the most up-to-date findings on the usage of ECT in ASD and discusses these results within the historical context and direct patient care experience.

RECENT FINDINGS

ECT is typically implemented for psychotropic-refractory catatonic, affective, psychotic, and combined pathology for individuals across the lifespan. Although highly stigmatized, ECT is well tolerated, efficacious, and potentially lifesaving for select individuals. A case presentation of an individual with autism as well as a summary of legal restrictions hampering his ECT access is presented.

SUMMARY

ECT is increasingly used in individuals with ASD who present with a wide range of ECT-responsive psychopathology, as well as repetitive self-injury and late, autistic-like regression for which no cause is found. ECT is well tolerated and offers real hope for many ASD individuals with devastating, treatment-refractory conditions.

Motor actions across psychiatric disorders: A research domain criteria (RDoC) perspective

The motor system is critical for understanding the pathophysiology and treatment of mental illness. Abnormalities in the processes that allow us to plan and execute movement in a goal-directed, context-appropriate manner (i.e., motor actions) are especially central to clinical motor research. Within this context, the NIMH Research Domain Criteria (RDoC) framework now includes a Motor Actions construct within the recently incorporated Sensorimotor Systems Domain, providing a useful framework for conducting research on motor action processes. However, there is limited available resources for understanding or implementing this framework. We address this gap by providing a comprehensive critical review and conceptual integration of the current clinical literature on the subconstructs comprising the Motor Actions construct. This includes a detailed discussion of each Motor Action subconstruct (e.g., action planning/execution) and its measurement across different units of analysis (e.g., molecules to behavior), the temporal and conceptual relationships among the Motor Action subconstructs (and other relevant RDoC domain constructs), and how abnormalities in these Motor Action subconstructs manifest in mental illness. Together, the review illustrates how motor system dysfunction is implicated in the pathophysiology of many psychiatric conditions and demonstrates shared and distinct mechanisms that may account for similar manifestations of motor abnormalities across disorders.

The Catatonia Quick Screen (CQS): A Rapid Screening Tool for Catatonia in Adult and Pediatric Populations

Introduction

Catatonia is a neuropsychiatric disorder marked by significant disturbances in motor, cognitive, and affective functioning and that is frequently under-diagnosed. To enhance clinical detection of catatonia, this study aimed to develop a rapid, sensitive Catatonia Quick Screen (CQS) using a reduced set of catatonic signs to facilitate screening in adult and pediatric patients.

Methods

Data were derived from two retrospective cohorts totaling 446 patients (254 adults, 192 children) who screened positive for catatonia using the Bush Francis Catatonia Screening Instrument (BFCSI). Sensitivity analyses were performed for all combinations of BFCSI signs, with sensitivity defined as the proportion of patients identified by each subset relative to the full BFCSI. The CQS was developed by selecting signs from the BFCSI based on sensitivity, ease of assessment, and relevance to diverse catatonia presentations.

Results

Screening for the presence of any one of four signs-excitement, mutism, staring, or posturing-using the CQS yielded a theoretical sensitivity of 97% (95% CI: 95 to 98%) relative to the full BFCSI (which requires two signs out of 14). The CQS demonstrated 97% sensitivity across both pediatric and adult subsets.

Conclusion

The Catatonia Quick Screen provides a rapid screening alternative to the BFCSI with high sensitivity, potentially improving early detection of catatonia in clinical settings. Future prospective studies are necessary to validate the CQS's sensitivity and to determine its specificity in clinical populations.

Longitudinal Symptom Burden and Pharmacologic Management of Catatonia in Autism with and without Profound Impairment: An Observational Study

Introduction

Catatonia is a highly morbid psychomotor and affective disorder which can affect autistic individuals with and without profound impairment. Catatonic symptoms are treatable with pharmacotherapy and electroconvulsive therapy, but the longitudinal effectiveness of these treatments has not been described.

Methods

We conducted a prospective observational cohort study of patients with autism and co-morbid catatonia who received outpatient care in a specialized outpatient clinic from July 1st, 2021 to May 31st, 2024. Data investigating pharmacologic interventions, and clinical measures including the Bush Francis Catatonia Rating Scale (BFCRS), Kanner Catatonia Severity Scale (KCS), Kanner Catatonia Examination (KCE), and Clinical Global Impression - Improvement (CGI-I) were collected.

Results

Forty-five patients were identified with 39 (86.7%) meeting criteria for profound autism. All patients received pharmacotherapy. 44 (97.8%) were treated with benzodiazepines with a mean maximal daily dose of 17.4 mg (SD=15.8) lorazepam equivalents. Thirty-five patients (77.8%) required more than one medication class for treatment. Fourteen patients (31.1%) attempted to taper off benzodiazepines during the study period; of these, 5 patients (11.1%) were successfully tapered off, and the remaining 9 (17.8%) discontinued the taper due to a return of catatonic symptoms. Statistically significant improvement was observed across all clinical domains except the KCS. However, the majority remained symptomatic over the study period.

Conclusions

Despite clinical improvements while receiving the gold standard for psychopharmacologic management of catatonia, chronic symptoms remained for the majority of catatonia patients over the study period, and few were able to taper and discontinue benzodiazepine treatment.