[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 …
[HTML][HTML] Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
XJ Cao, XQ Liu - World Journal of Psychiatry, 2022 - ncbi.nlm.nih.gov
Artificial intelligence-based technologies are gradually being applied to psych-iatric
research and practice. This paper reviews the primary literature concerning artificial …
research and practice. This paper reviews the primary literature concerning artificial …
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 developing 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 …
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Background Establishing objective and quantitative neuroimaging biomarkers at individual
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
A systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures
E Bondi, E Maggioni, P Brambilla… - … & Biobehavioral Reviews, 2023 - Elsevier
Abstract Background Major Depressive Disorder (MDD) is a psychiatric disorder
characterized by functional brain deficits, as documented by resting-state functional …
characterized by functional brain deficits, as documented by resting-state functional …
Non-invasively targeting, probing and modulating a deep brain circuit for depression alleviation
DJ Oathes, RJP Duprat, J Reber, X Liang… - Nature Mental …, 2023 - nature.com
Effective repetitive transcranial magnetic stimulation (rTMS) treatment for depression has
often focused on modulating the subgenual anterior cingulate cortex (sgACC), but no …
often focused on modulating the subgenual anterior cingulate cortex (sgACC), but no …
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …
from which millions of individuals are affected today. The symptoms of depression are …
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 …
Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback
JE Taylor, T Yamada, T Kawashima, Y Kobayashi… - Scientific reports, 2022 - nature.com
Depressive disorders contribute heavily to global disease burden; This is possibly because
patients are often treated homogeneously, despite having heterogeneous symptoms with …
patients are often treated homogeneously, despite having heterogeneous symptoms with …
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 …