[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Reproducibility in neuroimaging analysis: challenges and solutions
R Botvinik-Nezer, TD Wager - Biological Psychiatry: Cognitive …, 2023 - Elsevier
Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …
Embracing variability in the search for biological mechanisms of psychiatric illness
Despite decades of research, we lack objective diagnostic or prognostic biomarkers of
mental health problems. A key reason for this limited progress is a reliance on the traditional …
mental health problems. A key reason for this limited progress is a reliance on the traditional …
Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection
Recent work within neuroimaging consortia have aimed to identify reproducible, and often
subtle, brain signatures of psychiatric or neurological conditions. To allow for high‐powered …
subtle, brain signatures of psychiatric or neurological conditions. To allow for high‐powered …
[HTML][HTML] Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
To learn multiscale functional connectivity patterns of the aging brain, we built a brain age
prediction model of functional connectivity measures at seven scales on a large fMRI …
prediction model of functional connectivity measures at seven scales on a large fMRI …
Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning
Neuroanatomical findings on youth anxiety disorders are notoriously difficult to replicate,
small in effect size and have limited clinical relevance. These concerns have prompted a …
small in effect size and have limited clinical relevance. These concerns have prompted a …
Elucidating salient site-specific functional connectivity features and site-invariant biomarkers in schizophrenia via deep neural networks
Schizophrenia is a highly heterogeneous disorder and salient functional connectivity (FC)
features have been observed to vary across study sites, warranting the need for methods …
features have been observed to vary across study sites, warranting the need for methods …
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
V Belov, T Erwin-Grabner, M Aghajani, A Aleman… - Scientific reports, 2024 - nature.com
Abstract Machine learning (ML) techniques have gained popularity in the neuroimaging field
due to their potential for classifying neuropsychiatric disorders. However, the diagnostic …
due to their potential for classifying neuropsychiatric disorders. However, the diagnostic …
Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry
N Jahanshad, P Lenzini, J Bijsterbosch - Neuropsychopharmacology, 2024 - nature.com
Research into the brain basis of psychopathology is challenging due to the heterogeneity of
psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis …
psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis …
Cortical structure and subcortical volumes in conduct disorder: a coordinated analysis of 15 international cohorts from the ENIGMA-Antisocial Behavior Working Group
Background Conduct disorder is associated with the highest burden of any mental disorder
in childhood, yet its neurobiology remains unclear. Inconsistent findings limit our …
in childhood, yet its neurobiology remains unclear. Inconsistent findings limit our …