Adyasha Khuntia , Madalina-Octavia Buciuman , John Fanning , Aleks Stolicyn , Clara Vetter , Reetta-Liina Armio , Tiina From , Federica Goffi , Lisa Hahn , Tobias Kaufmann , Heikki Laurikainen , Eleonora Maggioni , Ignacio Martinez-Zalacain , Anne Ruef , Mark Sen Dong , Emanuel Schwarz , Letizia Squarcina , Ole Andreassen , Marcella Bellani , Paolo Brambilla , Nikolaos Koutsouleris
{"title":"Towards collaborative data science in mental health research: The ECNP neuroimaging network accessible data repository","authors":"Adyasha Khuntia , Madalina-Octavia Buciuman , John Fanning , Aleks Stolicyn , Clara Vetter , Reetta-Liina Armio , Tiina From , Federica Goffi , Lisa Hahn , Tobias Kaufmann , Heikki Laurikainen , Eleonora Maggioni , Ignacio Martinez-Zalacain , Anne Ruef , Mark Sen Dong , Emanuel Schwarz , Letizia Squarcina , Ole Andreassen , Marcella Bellani , Paolo Brambilla , Nikolaos Koutsouleris","doi":"10.1016/j.nsa.2024.105407","DOIUrl":"10.1016/j.nsa.2024.105407","url":null,"abstract":"<div><div>The current biologically uninformed psychiatric taxonomy complicates optimal diagnosis and treatment. Neuroimaging-based machine learning methods hold promise for tackling these issues, but large-scale, representative cohorts are required for building robust and generalizable models. The European College of Neuropsychopharmacology Neuroimaging Network Accessible Data Repository (ECNP-NNADR) addresses this need by collating multi-site, multi-modal, multi-diagnosis datasets that enable collaborative research. The newly established ECNP-NNADR includes 4829 participants across 21 cohorts and 11 distinct psychiatric diagnoses, available via the Virtual Pooling and Analysis of Research data (ViPAR) software. The repository includes demographic and clinical information, including diagnosis and questionnaires evaluating psychiatric symptomatology, as well as multi-atlas grey matter volume regions of interest (ROI). To illustrate the opportunities offered by the repository, two proof-of-concept analyses were performed: (1) multivariate classification of 498 patients with schizophrenia (SZ) and 498 matched healthy control (HC) individuals, and (2) normative age prediction using 1170 HC individuals with subsequent application of this model to study abnormal brain maturational processes in patients with SZ. In the SZ classification task, we observed varying balanced accuracies, reaching a maximum of 71.13% across sites and atlases. The normative-age model demonstrated a mean absolute error (MAE) of 6.95 years [coefficient of determination (<em>R</em><sup><em>2</em></sup>) = 0.77, <em>P</em> < .001] across sites and atlases. The model demonstrated robust generalization on a separate HC left-out sample achieving a MAE of 7.16 years [<em>R</em><sup><em>2</em></sup> = 0.74,<em>P</em> < .001]. When applied to the SZ group, the model exhibited a MAE of 7.79 years [<em>R</em><sup><em>2</em></sup> = 0.79, <em>P</em> < .001], with patients displaying accelerated brain-aging with a brain age gap (BrainAGE) of 4.49 (8.90) years. Conclusively, this novel multi-site, multi-modal, transdiagnostic data repository offers unique opportunities for systematically tackling existing challenges around the generalizability and validity of imaging-based machine learning applications for psychiatry.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"4 ","pages":"Article 105407"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is there room for ethics of authenticity in psilocybin research?","authors":"Stefan Jerotic","doi":"10.1016/j.nsa.2025.105519","DOIUrl":"10.1016/j.nsa.2025.105519","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"4 ","pages":"Article 105519"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matteo Vismara , Sara Torriero , Kevin La Monica , Beatrice Benatti , Luca Larini , Chiara Bucca , Nicolaja Girone , Monica Bosi , Bernardo Dell’Osso
{"title":"Augmentative transcranial magnetic stimulation over the left orbitofrontal cortex in patients with treatment-resistant obsessive-compulsive disorder: An acute and follow-up study","authors":"Matteo Vismara , Sara Torriero , Kevin La Monica , Beatrice Benatti , Luca Larini , Chiara Bucca , Nicolaja Girone , Monica Bosi , Bernardo Dell’Osso","doi":"10.1016/j.nsa.2025.105511","DOIUrl":"10.1016/j.nsa.2025.105511","url":null,"abstract":"<div><h3>Background</h3><div>Obsessive-compulsive disorder (OCD) is a disabling and chronic medical condition which impairs the overall functioning and the quality of life of affected individuals. At the current moment up to 60% of patients do not show a satisfactory response, and among alternative approaches for treatment-resistant OCD, repetitive transcranial magnetic stimulation (rTMS) showed promising results in terms of efficacy and tolerability. Despite this, stimulation parameters are still heterogeneous, and additional investigations are needed to support these data.</div></div><div><h3>Methods</h3><div>OCD patients with characteristic of treatment resistance were included in this open-label trial. The stimulation protocol consisted of one daily session, five days a week for three weeks, for a total of 15 sessions. The left orbitofrontal cortex (OFC) was the target, stimulated at 80% of the motor threshold, with a frequency of 1 Hz, 600 pulses per session. All patients maintained fixed medication doses during the trial. Primary outcome measures comprised the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), the Hamilton Anxiety Rating Scale (HAM-A), the Hamilton Depression Rating Scale (HAM-D), the Sheehan Disability Scale (SDS), and the Clinical Global Impression Scale (CGI-S) scores, assessed at baseline (T0), at the end of the treatment (T1), and after a follow-up of one month (T2). We identified responders with a Y-BOCS reduction of ≥35% at T1. General linear model repeated measures were used to compare scores at psychometric scales, chi-squared test was used to compare variables between responders and non-responders.</div></div><div><h3>Results</h3><div>Thirteen patients completed the psychometric assessment (males: 69.2%; females: 30.8%, mean age: 43.1 ± 10.2 years). We observed a significant reduction at the end of the treatment on the Y-BOCS (T0:23.4 ± 8.9 - T1:18.2 ± 7.2, p = 0.009), HAM-A (T0:13.8 ± 7.4-T1:8.6 ± 4, p = 0.006), HAM-D (T0:13.2 ± 5.8 - T1:9.5 ± 3.6, p = 0.014), SDS (T0:22.7 ± 6.2 - T1:18.3 ± 5.1, p = 0.008), and CGI-S scores (T0:4.8 ± 0.8 - T1:4.3 ± 0.9, p = 0.027). Among all timepoints, a trend of significance for reduction of Y-BOCS and HAM-A scores emerged (p = 0.075 and p = 0.077, respectively), while HAM-D scores were significantly reduced after one month (p = 0.047). Responders constituted 30.8% (N = 4) of the sample. Worse clinical variables were more frequently observed in non-responders compared to responders: a higher rate of psychiatric familiarity and a higher rate of lifetime suicidal ideation. The only side effect reported was mild and transient headache during stimulation (N = 1).</div></div><div><h3>Conclusions</h3><div>Our data support the efficacy and tolerability of rTMS over the left OFC on obsessive-compulsive, depressive, and anxious symptoms in treatment-resistant OCD, overall associated with a reduction of disability and functional impairment. Additionally, one third of patients showed a respo","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"4 ","pages":"Article 105511"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Coutts , S. Mena , A. Hasan , E. Ucur , W. Fleischhacker , I. Winter-Van Rossum , M. Davidson , R. Kahn , N. Koutsouleris , P.A. Lalousis
{"title":"Why do psychosis patients discontinue their antipsychotics? Using AI to unravel the roles of efficacy and side effects.","authors":"F. Coutts , S. Mena , A. Hasan , E. Ucur , W. Fleischhacker , I. Winter-Van Rossum , M. Davidson , R. Kahn , N. Koutsouleris , P.A. Lalousis","doi":"10.1016/j.nsa.2025.105436","DOIUrl":"10.1016/j.nsa.2025.105436","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"4 ","pages":"Article 105436"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Leonardi , M. Vismara , K. La Monica , C. D'Addario , B. Dell'Osso
{"title":"The impact of transcranial magnetic stimulation on brain-derived neurotrophic factor methylation in major depression","authors":"M. Leonardi , M. Vismara , K. La Monica , C. D'Addario , B. Dell'Osso","doi":"10.1016/j.nsa.2025.105502","DOIUrl":"10.1016/j.nsa.2025.105502","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"4 ","pages":"Article 105502"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}