Comparative outcomes in electroconvulsive therapy (ECT): A naturalistic comparison between outcomes in psychosis, mania, depression, psychotic depression and catatonia

The Cotard Delusion in a Patient With Neuropsychiatric Systemic Lupus Erythematosus: The Challenges of Autoimmune Psychosis

The clinical features of neuropsychiatric systemic lupus erythematosus (NPSLE) are heterogeneous. Furthermore, therapeutic decision-making for NPSLE depends on the recognition of clinical syndromes that have not been sufficiently studied. This report describes the case of a 36-year-old woman with NPSLE who exhibited severe cognitive dysfunction and affective psychosis with persistent nihilistic delusions such as those described in the Cotard delusion. The patient insisted for several months that she was already dead. CSF analysis showed elevated levels of anti-ribosomal P antibodies and a positive determination of oligoclonal bands. Additionally, 18F -FDG PET/CT imaging revealed severe bilateral frontal hypermetabolism suggestive of brain inflammation and occipital hypometabolism. Results from the Systematic Lupus Erythematosus Disease Activity Index 2000 and the Systemic Lupus Erythematosus Disease Activity Score were consistent with an active state of the immunological disease. We then determined by an algorithm that this neuropsychiatric event could be attributed to the activity of the underlying immunological disease. Despite immunosuppressive and symptomatic treatment, only a partial improvement in cognition was achieved. The psychopathological features of the Cotard delusion remained unchanged 4 months after onset. However, we observed rapid remission of affective psychosis and significant improvement in cognition following electroconvulsive therapy. Subsequent follow-up examinations showed a sustained remission. This case describes a protracted form of the Cotard delusion, the diagnostic challenges that arise in the context of SLE, and treatment dilemmas that necessitate collaboration between neurology, psychiatry, and rheumatology.

The influence of age on ECT efficacy in depression, mania, psychotic depression and schizophrenia: A transdiagnostic analysis

AIM

ECT use is variable across age groups. We aim to investigate the effect of age on ECT response among patients with depression, psychotic depression, mania and schizophrenia.

METHODS

Our retrospective observational study included patients from the Institute of Mental Health (Singapore) who were initiated on ECT (March 2017-February 2023). MADRS and BPRS scores were assessed 1-2 days before the first ECT and after the 6th session. The association between age group and ECT response was analyzed by ANOVA and generalized linear regression. A one-way sensitivity analysis was performed with age as a continuous variable.

RESULTS

166 (15.7%) patients were "young-age (≤26 years)", 634 (60%) patients were in the "middle-age (27-59 years)" group and 256 (24.3%) were "old-age (≥60 years)". The association between older age and post-ECT improvement in patients with depression was significant in the categorical age analysis but it did not persist in the sensitivity analysis. No significant association between age and ECT response was noted in patients with bipolar disorder and schizophrenia as evidenced by both categorical and continuous age analyses. In a small subgroup with psychotic depression, younger patients improved significantly more than older patients post-ECT.

CONCLUSION

Patients with unipolar or bipolar depression, mania, or schizophrenia, regardless of age, respond favourably to ECT. Other associated factors such as psychomotor and psychotic symptoms, disease severity and number of failed pharmacotherapies should be considered in predicting ECT response. Younger patients with psychotic depression may respond better to ECT.

Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review

BACKGROUND

Psychotic disorders are major psychiatric disorders that can impact multiple domains including physical, social, and psychological functioning within individuals with these conditions. Being able to better predict the outcomes of psychotic disorders will allow clinicians to identify illness subgroups and optimize treatment strategies in a timely manner.

OBJECTIVE

In this scoping review, we aimed to examine the accuracy of the use of artificial intelligence (AI) methods in predicting the clinical outcomes of patients with psychotic disorders as well as determine the relevant predictors of these outcomes.

METHODS

This review was guided by the PRISMA Guidelines for Scoping Reviews. Seven electronic databases were searched for relevant published articles in English until 1 February 2024.

RESULTS

Thirty articles were included in this review. These studies were mainly conducted in the West (63%) and Asia (37%) and published within the last 5 years (83.3%). The clinical outcomes included symptomatic improvements, illness course, and social functioning. The machine learning models utilized data from various sources including clinical, cognitive, and biological variables such as genetic, neuroimaging measures. In terms of main machine learning models used, the most common approaches were support vector machine, random forest, logistic regression, and linear regression models. No specific machine learning approach outperformed the other approaches consistently across the studies, and an overall range of predictive accuracy was observed with an AUC from 0.58 to 0.95. Specific predictors of clinical outcomes included demographic characteristics (gender, socioeconomic status, accommodation, education, and employment); social factors (activity level and interpersonal relationships); illness features (number of relapses, duration of relapses, hospitalization rates, cognitive impairments, and negative and disorganization symptoms); treatment (prescription of first-generation antipsychotics, high antipsychotic doses, clozapine, use of electroconvulsive therapy, and presence of metabolic syndrome); and structural and functional neuroimaging abnormalities, especially involving the temporal and frontal brain regions.

CONCLUSIONS

The current review highlights the potential and need to further refine AI and machine learning models in parsing out the complex interplay of specific variables that contribute to the clinical outcome prediction of psychotic disorders.

Comparison of Effects of Propofol Combined with Different Doses of Esketamine for ECT in the Treatment of Depression: A Randomized Controlled Trial Protocol

Objective

Major depressive disorder (MDD) is a common mood disorder. Electroconvulsive therapy (ECT) has a significant effect on treatment-resistant MDD. Esketamine may have potential advantages in improving the efficacy of ECT, and the strong affinity of this compound for NMDAR renders it a viable therapeutic option for the management of depression. This study aims to compare the effects of different doses of esketamine combined with propofol anesthesia versus propofol anesthesia alone in ECT, aiming to provide further insights for optimizing ECT and enhancing comprehensive treatment outcomes for depression.

Study Design and Methods

This study was a prospective, randomized, controlled, double-blind trial involving subjects and evaluators. One hundred eleven patients scheduled for ECT were randomly assigned to three groups. In Group P, propofol at 1mg/kg was administered intravenously. In Group P+E, propofol at a dosage of 0.5mg/kg and esketamine at a dosage of 0.5mg/kg was administered intravenously. Patients in Group P+SE received propofol at a dosage of 0.75mg/kg and esketamine at a dosage of 0.25mg/kg. The same anesthesia protocol was used for the same patient until the end of the last treatment. The primary outcome measures were the Hamilton depression scale (HAMD) and the Patient Health Questionnaire-9 (PHQ-9), the Columbia-Suicide Severity Rating Scale (C-SSRS), and the Digit symbol substitution test (DSST). Secondary outcomes included length of hospital stay, readmission rate, hemodynamic status, recovery, and adverse events.

Discussion

This study aimed to compare the effects of propofol combined with different doses of esketamine for ECT. The results may provide a better choice for ECT anesthesia.

Basic quality indicators for clinical care of patients with major depression, schizophrenia, and bipolar disorder

OBJECTIVE

To identify a set of indicators to monitor the quality of care for patients with major depression, schizophrenia, or bipolar disorder.

METHODS

A group of 10 experts selected the most automatically applicable indicators from a total of 98 identified in a previous study. Five online sessions and 5 discussion meetings were performed to select the indicators that met theoretical feasibility criteria automatically. Subsequently, feasibility was tested in a pilot study conducted in two hospitals of the Spanish Health Service.

RESULTS

After evaluating its measurement possibilities in the Spanish Health Service, and the fulfillment of all the quality premises defined, 16 indicators were selected. Three were indicators of major depression, 5 of schizophrenia, 3 of bipolar disorder, and 5 indicators common to all three pathologies. They included measures related to patient safety, maintenance and follow-up of treatment, therapeutic adherence, and adequacy of hospital admissions. After the pilot study, 5 indicators demonstrated potential in the automatic generation of results, with 3 of them related to treatments (clozapine in schizophrenia, lithium for bipolar disorder, and valproate in women of childbearing age).

CONCLUSIONS

Indicators support the monitoring of the quality of treatment of patients with major depression, schizophrenia, or bipolar disorder. Based on this proposal, each care setting can draw up a balanced scorecard adjusted to its priorities and care objectives, which will allow for comparison between centers.

Opportunities and challenges for the use of deep brain stimulation in the treatment of refractory major depression

Major Depressive Disorder continues to remain one of the most prevalent psychiatric diseases globally. Despite multiple trials of conventional therapies, a subset of patients fail to have adequate benefit to treatment. Deep brain stimulation (DBS) is a promising treatment in this difficult to treat population and has shown strong antidepressant effects across multiple cohorts. Nearly two decades of work have provided insights into the potential for chronic focal stimulation in precise brain targets to modulate pathological brain circuits that are implicated in the pathogenesis of depression. In this paper we review the rationale that prompted the selection of various brain targets for DBS, their subsequent clinical outcomes and common adverse events reported. We additionally discuss some of the pitfalls and challenges that have prevented more widespread adoption of this technology as well as future directions that have shown promise in improving therapeutic efficacy of DBS in the treatment of depression.

The impact of the number of previous illness episodes on early response to electroconvulsive therapy (ECT) in psychosis, mania, depression, psychotic depression, and catatonia: A naturalistic transdiagnostic analysis

Electroconvulsive Therapy (ECT) is an effective treatment for mood and psychotic disorders but there is growing evidence of treatment resistant to ECT. Our study aimed to investigate the relationship between the number of previous illness episodes and the symptomatic improvement after acute ECT treatment. We conducted a retrospective naturalistic cohort analysis of patients' ECT registry data from March 2017 to February 2023. We categorized the number of previous illness episodes into "0-3″ and ">3 episodes", paired T-tests were used to compare the changes in scores of clinical assessments, generalized linear models were used to analyze the association between the number of previous illness episodes and change in symptomatic scores. A total of 1137 patients were included for analysis. There was a significant global improvement in psychiatric symptoms (CGI) after 6 ECT treatments across five indications. We observed that compared to patients with less previous illness episodes, patients with more than 3 previous illness episodes had 30% lower chance of response to acute ECT treatment. Thus, our study suggests that use ECT earlier in the course of illness is associated with greater response and support offering ECT earlier in the disease course.

Correlation of event-related potentials N170 with dysfunctional attitudes in patients with major depressive disorder

BACKGROUND

Cognitive impairment frequently accompanies first-episode major depressive disorder (MDD) in patients. Early detection and intervention for cognitive impairment can enhance the quality of life for individuals with depressive disorders. Impaired emotion recognition may serve as an initial manifestation of cognitive impairment in these patients. This study examines the characteristics of event-related potentials N170 and dysfunctional attitudinal questionnaire total scores, as well as each factor and their correlation, revealing characteristic electroencephalogram (EEG) changes associated with cognitive impairment in first-episode MDD patients.

METHOD

A total of 88 patients experiencing first-episode MDD and 29 healthy volunteers from the same period participated in the study. They underwent event-related potential N170 measures to assess mood recognition function, the 17-item Hamilton depression scale (HAMD-17) to evaluate the severity of depressive disorder, and the Dysfunctional Attitudes Scales(DAS) to appraise cognitive function.

RESULT

The dysfunctional attitude questionnaire's total score and each factor score were higher in the MDD group compared to the healthy control (HC) group. The MDD group exhibited lower amplitudes than the HC group at CZ, PZ, POZ, P7, PO7, P8, and PO8 electrode points. A correlation was identified between the P7 and PO7 electrode points of the event-related potential N170 and cognitive function.

LIMITATION

This study solely considered neutral face emotional stimuli and did not account for depressive disorder subtypes.

CONCLUSION

Differences were observed between the MDD and HC groups in cognitive function and N170 amplitude in the central brain region (CZ, PZ, POZ), left posterior temporal region (P7), left occipitotemporal region (PO7), right posterior temporal region (P8), and right occipitotemporal region (PO8). Additionally, a correlation was found between N170 latency in the left posterior temporal region of the brain (P7) and the left occipitotemporal region (PO7) with cognitive function.

The association between outpatient continuation/maintenance electroconvulsive therapy, readmission risk and total direct cost in patients with depressive, bipolar and psychotic disorders: A naturalistic retrospective cohort study

BACKGROUND

The transdiagnostic effect of continuation/maintenance ECT (CM-ECT) across mood and psychotic disorders on hospital psychiatric readmission risk and total direct cost remains unclear.

METHODS

A naturalistic retrospective analysis of 540 patients who received inpatient acute ECT treatment from May 2017 to Mar 2021 in a tertiary psychiatric institution. Patients were assessed with validated clinical rating scales pre-ECT and after the first 6 treatments of a course of inpatient acute ECT. After discharge, patients who continued with CM-ECT were compared with those not receiving CM-ECT using survival analysis of hospital readmission. Total direct cost (hospitalisation and ECT treatment cost) was also analysed. All patients were subjected to a standard post-discharge monitoring program with case managers checking in on the patients regularly after discharge and ensuring they were given an outpatient appointment within a month of discharge.

RESULTS

Both cohorts had significant improvement in their rating scales scores after their first six 6 sessions of inpatient acute ECT. Patients who continued with CM-ECT after completing their inpatient acute ECT (mean number of acute ECT: N = 9.9, SD 5.3), had a significantly lower risk of readmission [adjusted hazard ratio of 0.68 (95 % CI: 0.49-0.94, p = 0.020)]. Patients who received CM-ECT also had a significantly lower average total direct cost compared to those who did not (SGD$35,259 vs SGD$61,337). For patients with mood disorders, the CM-ECT group had a significantly lower inpatient ECT cost, hospitalisation cost and total direct costs compared to those without CM-ECT.

LIMITATIONS

The naturalistic study cannot prove a causal relationship between CM-ECT and reduced readmission and lower healthcare costs.

CONCLUSION

CM-ECT is associated with lower readmission risks and lower total direct healthcare costs for the treatment of mood and psychotic disorders, especially for mood disorders.

Evidence-based consensus guidelines for the management of catatonia: Recommendations from the British Association for Psychopharmacology

The British Association for Psychopharmacology developed an evidence-based consensus guideline on the management of catatonia. A group of international experts from a wide range of disciplines was assembled. Evidence was gathered from existing systematic reviews and the primary literature. Recommendations were made on the basis of this evidence and were graded in terms of their strength. The guideline initially covers the diagnosis, aetiology, clinical features and descriptive epidemiology of catatonia. Clinical assessments, including history, physical examination and investigations are then considered. Treatment with benzodiazepines, electroconvulsive therapy and other pharmacological and neuromodulatory therapies is covered. Special regard is given to periodic catatonia, malignant catatonia, neuroleptic malignant syndrome and antipsychotic-induced catatonia. There is attention to the needs of particular groups, namely children and adolescents, older adults, women in the perinatal period, people with autism spectrum disorder and those with certain medical conditions. Clinical trials were uncommon, and the recommendations in this guideline are mainly informed by small observational studies, case series and case reports, which highlights the need for randomised controlled trials and prospective cohort studies in this area.

A systematic mini-review of epigenetic mechanisms associated with electroconvulsive therapy in humans

Introduction

Electroconvulsive therapy (ECT) is one of the most effective strategies for treating resistant major depression. Although the mechanism of action is not fully understood and studies are limited, epigenetics is a promising area for the development of biomarkers associated with ECT treatment response.

Aim

We reviewed studies available in the literature that explored the epigenetics of ECT in peripheral samples from patients with major depressive disorder (MDD).

Methods

A systematic review was performed following The PRISMA guidelines. The search was performed in seven electronic databases: Scopus, Web of Science, Medline, PsycINFO, Embase, Cochrane, and Cinahl.

Results

Nine studies were included. Seven assessed DNA methylation and three investigated microRNAs (miR). Overall, most studies were exploratory, with small sample sizes, and we found high heterogeneity between the study's design, ECT protocols, molecular biology methods, and epigenetic findings. Investigated candidates with some evidence of association with ECT treatment response were BDNF, S100A10, RNF213M, TNKS, FKBP5, miR-126, miR-106a, and miR-24.

Conclusion

The present findings seem to support previous preclinical research, suggesting that epigenetic mechanisms play an important role in the molecular mechanism underlying ECT effects.

Electroconvulsive therapy following incident bipolar disorder: When, how, and for whom?

OBJECTIVE

The use of electroconvulsive therapy (ECT) in the treatment of bipolar disorder (BD) remains poorly described. Based on data from Danish registries with complete nationwide coverage, this study of patients with incident BD aimed to describe when, how, and for whom ECT is used in the context of BD.

METHODS

We identified patients receiving their first diagnosis of BD in the period from 2008 to 2018, who subsequently received ECT. Descriptive statistics were used to clarify when, how, and for whom ECT is used.

RESULTS

We identified 1338 patients with incident BD who subsequently received ECT. The median age at the first ECT session was 50.6 years (interquartile range [IQR]: 26.4), and 62% of those treated with ECT were female. The median time from the diagnosis of BD to the first ECT treatment was 0.6 years (IQR: 2.6), and 58% of the patients receiving ECT had the first treatment within the first year after being diagnosed with BD. The most common indication for the first ECT treatment was depression (mainly non-psychotic depression), followed by mania (mainly psychotic mania). The first ECT session was typically provided to inpatients (97%), upon patient consent (98%) and with bilateral electrode placement (60%).

CONCLUSIONS

A substantial proportion of the patients with incident BD who receive ECT require this treatment within the first year after the diagnosis. The most common indication for ECT is depression followed by (psychotic) mania. Inpatient voluntary ECT using bilateral electrode placement is the most common form of administration.

Neurobiological mechanisms of psychosis in epilepsy: Findings from neuroimaging studies

Despite the high prevalence and clinical importance of comorbid psychosis in epilepsy, its neurobiological mechanisms remain understudied. This narrative mini-review aims to provide an overview of recent updates in in vivo neuroimaging studies on psychosis in epilepsy, including structural and diffusion magnetic resonance imaging (MRI) and functional and molecular imaging, and to discuss future directions in this field. While the conventional morphological analysis of structural MRI has provided relatively inconsistent results, advanced methods, including brain network analysis, hippocampal subregion volumetry, and machine learning models, have recently provided novel findings. Diffusion MRI, for example, has revealed a reduction in white matter integrity mainly in the frontal and temporal lobes, as well as a disruption of brain white matter networks. Functional neuroimaging, such as perfusion single-photon emission computed tomography (SPECT) or fluorodeoxyglucose positron emission tomography (FDG-PET), often identifies hyperactivity in various brain regions. The current limitations of these more recent studies may include small and sometimes heterogeneous samples, insufficient control groups, the effects of psychoactive drugs, and the lack of longitudinal analysis. Further investigations are required to establish novel treatments and identify clinical diagnostic or disease-monitoring biomarkers in psychosis in epilepsy.

Association between electroconvulsive therapy and depressive disorder from 2012 to 2021: Bibliometric analysis and global trends

Background

Depressive disorder is a chronic mental illness that is vulnerable to relapse, imposes a huge economic burden on society and patients, and is a major global public health problem. Depressive disorders are characterized by depressed mood, decreased energy and interest, and suicidal ideation and behavior in severe cases. They can be treated through pharmacotherapy and psychotherapy or physical treatments such as electroconvulsive therapy (ECT). In patients with suicidal ideation, behavior, or refractory depressive disorder ECT has a faster onset of action and better efficacy than pharmacotherapy. This study used bibliometric and visual analyses to map the current state of global research on ECT for depressive disorder and to predict future research trends in this area.

Materials and methods

A literature search was performed for studies on ECT and depressive disorder in the Web of Science Core Collection (WoSCC) database. All studies considered for this paper were published between 2012 and 2021. Bibliometric and co-occurrence analyses were performed using the CiteSpace software.

Results

In total, 2,184 publications were retrieved. The number of publications on ECT and depressive disorder have been increasing since 2012, with China being a emerging hub with a growing influence in the field. Zafiris J. Daskalakis is the top author in terms of number of publications, and The Journal of ECT is not only the most published journal but also the most co-cited journal in the field. Co-occurrence analysis showed that electroconvulsive therapy, treatment-resistant depression, bipolar disorder, hippocampus, efficacy, and electrode placement are current research hotspots. Molecular biomarkers, neuroimaging predictors, and late-life depression will become research hotspots in the future.

Conclusion

Our analysis made it possible to observe an important growth of the field since 2012, to identify key scientific actors in this growth and to predict hot topics for future research.

Electroconvulsive therapy effects on anhedonia and reward circuitry anatomy: A dimensional structural neuroimaging approach

BACKGROUND

Anhedonia is a core symptom of major depressive disorder (MDD) resulting from maladaptive reward processing. Electroconvulsive therapy (ECT) is an effective treatment for patients with MDD. No previous neuroimaging studies have taken a dimensional approach to assess whether ECT-induced volume changes are specifically related to improvements in anhedonia and positive valence emotional constructs. We aimed to assess the relationship between ECT-induced brain volumetric changes and improvement in anhedonia and reward processing in patients with MDD.

METHODS

We evaluated 15 patients with MDD before and after ECT. We used magnetic resonance imaging, clinical scales (i.e., Quick Inventory of Depressive Symptomatology for syndromal depression severity and Snaith-Hamilton Pleasure Scale for anhedonia) and the Temporal Experience of Pleasure Scale for anticipatory and consummatory experiences of pleasure. We identified 5 regions of interest within the reward circuit and a 6th control region relevant for MDD but not core to the reward system (Brodmann Area 25).

RESULTS

Anhedonia, anticipatory and consummatory reward processing improved after ECT. Volume increases within the right reward system separated anhedonia responders and non-responders. Improvement in anticipatory (but not consummatory) reward correlated with increases in volume in hippocampus, amygdala, ventral tegmental area and nucleus accumbens.

LIMITATIONS

We evaluated a modest sample size of patients with concurrent pharmacological treatment using a subjective psychometric assessment.

CONCLUSIONS

We highlight the importance of a dimensional and circuit-based approach to understanding target engagement and the mechanism of action of ECT, with the goal to define symptom- and circuit-specific response biomarkers for device neuromodulation therapies.

The Impact of Electroconvulsive Therapy on Negative Symptoms in Schizophrenia and Their Association with Clinical Outcomes

OBJECTIVE

The treatment efficacy of electroconvulsive therapy (ECT) for negative symptoms amongst patients with schizophrenia remains unclear. In this study, we aim to examine the effects of ECT on negative symptoms in schizophrenia and their association with other clinical outcomes, including cognition and function.

METHODS

This is a retrospective data analysis of patients with schizophrenia/schizoaffective disorder treated with ECT at the Institute of Mental Health (IMH), Singapore, between January 2016 and December 2019. Clinical outcomes were assessed by the Brief Psychiatric Rating Scale (BPRS), the Montreal Cognitive Assessment (MoCA), and Global Assessment of Function (GAF). Changes in scores were compared with repeated measures analysis of variance. Sequential structural modelling was utilized to examine the pathway relationships between changes in negative symptoms, global functioning, and cognition functioning after ECT.

RESULTS

A total of 340 patients were analysed. Hence, 196 (57.6%), 53 (15.5%), and 91 (26.7%) showed improvements, no change, and deterioration in negative symptoms, respectively. ECT-induced improvement of negative symptoms was significantly associated with improvement of global functioning (direct effect correlation coefficient (r): -0.496; se: 0.152; p = 0.001) and cognition function (indirect effect r: -0.077; se: 0.037; p = 0.035). Moreover, having capacity to consent, more severe baseline negative symptoms, lithium prescription, and an indirect effect of voluntary admission status via consent capacity predicted ECT associated negative symptoms improvement.

CONCLUSION

ECT is generally associated with improvements of negative symptoms in people with schizophrenia, which correlate with improvements of overall function. Possible novel clinical predictors of negative symptom improvement have been identified and will require further research and validation.

Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders

Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD, schizophrenia, and schizoaffective disorder) overlap in symptomatology, risk factors, genetics, and other biological measures. Based on previous findings, it remains unclear what transdiagnostic regional gray matter volume (GMV) alterations exist across these disorders, and with which factors they are associated. GMV (3-T magnetic resonance imaging) was compared between healthy controls (HC; n = 110), DSM-IV-TR diagnosed MDD (n = 110), BD (n = 110), and SSD patients (n = 110), matched for age and sex. We applied a conjunction analysis to identify shared GMV alterations across the disorders. To identify potential origins of identified GMV clusters, we associated them with early and current risk and protective factors, psychopathology, and neuropsychology, applying multiple regression models. Common to all diagnoses (vs. HC), we identified GMV reductions in the left hippocampus. This cluster was associated with the neuropsychology factor working memory/executive functioning, stressful life events, and with global assessment of functioning. Differential effects between groups were present in the left and right frontal operculae and left insula, with volume variances across groups highly overlapping. Our study is the first with a large, matched, transdiagnostic sample to yield shared GMV alterations in the left hippocampus across major mental disorders. The hippocampus is a major network hub, orchestrating a range of mental functions. Our findings underscore the need for a novel stratification of mental disorders, other than categorical diagnoses.