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ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
Harmonizing the neurobiology and treatment of obsessive-compulsive disorder
Obsessive-compulsive disorder (OCD) is a common, chronic, and oftentimes disabling
disorder. The only established first-line treatments for OCD are exposure and response …
disorder. The only established first-line treatments for OCD are exposure and response …
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
The promise of machine learning has fueled the hope for develo** diagnostic tools for
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
psychiatry. Initial studies showed high accuracy for the identification of major depressive …
Obsessive‐compulsive disorder: Etiology, neuropathology, and cognitive dysfunction
Background This review provides an overview of obsessive‐compulsive disorder (OCD)
symptoms, including the four partially distinct subtypes of the disorder, current diagnostic …
symptoms, including the four partially distinct subtypes of the disorder, current diagnostic …
Recent advances in psychoradiology
Psychiatry, as a field, lacks objective markers for diagnosis, progression, treatment planning,
and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based …
and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based …
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is
based on small-scale studies, limiting the generalizability of results. Moreover, the majority …
based on small-scale studies, limiting the generalizability of results. Moreover, the majority …
An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration
OA Van den Heuvel, PSW Boedhoe… - Human brain …, 2022 - Wiley Online Library
Neuroimaging has played an important part in advancing our understanding of the
neurobiology of obsessive–compulsive disorder (OCD). At the same time, neuroimaging …
neurobiology of obsessive–compulsive disorder (OCD). At the same time, neuroimaging …
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA Network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Genome-wide association study identifies 30 obsessive-compulsive disorder associated loci
Obsessive-compulsive disorder (OCD) affects~ 1% of the population and exhibits a high
SNP-heritability, yet previous genome-wide association studies (GWAS) have provided …
SNP-heritability, yet previous genome-wide association studies (GWAS) have provided …