[HTML][HTML] What have we really learned from functional connectivity in clinical populations?

J Zhang, A Kucyi, J Raya, AN Nielsen, JS Nomi… - NeuroImage, 2021 - Elsevier
Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …

[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review

R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

[PDF][PDF] Automated optimization of TMS coil placement for personalized functional network engagement

CJ Lynch, IG Elbau, TH Ng, D Wolk, S Zhu, A Ayaz… - Neuron, 2022 - cell.com
Transcranial magnetic stimulation (TMS) is used to treat multiple psychiatric and
neurological conditions by manipulating activity in particular brain networks and circuits, but …

Functional connectivity mapping for rTMS target selection in depression

IG Elbau, CJ Lynch, J Downar… - American Journal of …, 2023 - Am Psychiatric Assoc
Objective: Repetitive transcranial magnetic stimulation (rTMS) protocols increasingly use
subgenual anterior cingulate cortex (sgACC) functional connectivity to individualize …

[HTML][HTML] Landscape and future directions of machine learning applications in closed-loop brain stimulation

AS Chandrabhatla, IJ Pomeraniec, TM Horgan… - NPJ Digital …, 2023 - nature.com
Brain stimulation (BStim) encompasses multiple modalities (eg, deep brain stimulation,
responsive neurostimulation) that utilize electrodes implanted in deep brain structures to …

[HTML][HTML] Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

M Squires, X Tao, S Elangovan, R Gururajan, X Zhou… - Brain Informatics, 2023 - Springer
Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …

[HTML][HTML] Personalizing repetitive transcranial magnetic stimulation parameters for depression treatment using multimodal neuroimaging

DCW Klooster, MA Ferguson, PAJM Boon… - Biological Psychiatry …, 2022 - Elsevier
Repetitive transcranial magnetic stimulation (rTMS) is a tool that can be used to administer
treatment for neuropsychiatric disorders such as major depressive disorder, although the …

[HTML][HTML] Brain connectivity in major depressive disorder: a precision component of treatment modalities?

A Tura, R Goya-Maldonado - Translational Psychiatry, 2023 - nature.com
Major depressive disorder (MDD) is a very prevalent mental disorder that imposes an
enormous burden on individuals, society, and health care systems. Most patients benefit …

[HTML][HTML] Evaluating robustness of brain stimulation biomarkers for depression: a systematic review of MRI and EEG studies

D Klooster, H Voetterl, C Baeken, M Arns - Biological psychiatry, 2023 - Elsevier
Non-invasive brain stimulation (NIBS) treatments have gained considerable attention as a
potential therapeutic intervention for psychiatric disorders. The identification of reliable …

Neurophysiological and neuroimaging markers of repetitive transcranial stimulation treatment response in major depressive disorder: a systematic review and meta …

MX Jin, PP Qin, AWL Xia, RL Di Kan, BBB Zhang… - Neuroscience & …, 2024 - Elsevier
Predicting repetitive transcranial magnetic stimulation (rTMS) treatment outcomes in major
depressive disorder (MDD) could reduce the financial and psychological risks of treatment …