Using brain imaging to improve spatial targeting of transcranial magnetic stimulation for depression

RFH Cash, A Weigand, A Zalesky, SH Siddiqi… - Biological …, 2021 - Elsevier
Transcranial magnetic stimulation (TMS) is an effective treatment for depression but is
limited in that the optimal therapeutic target remains unknown. Early TMS trials lacked a …

[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 …

[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 …

Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review

J Li, J Chen, W Kong, X Li, B Hu - Journal of affective disorders, 2022 - Elsevier
Rationale/importance Researches have highlighted communication deficits between resting-
state brain networks in major depressive disorder (MDD), as reflected in abnormal functional …

Elevating the field for applying neuroimaging to individual patients in psychiatry

DR Roalf, M Figee, DJ Oathes - Translational Psychiatry, 2024 - nature.com
Although neuroimaging has been widely applied in psychiatry, much of the exuberance in
decades past has been tempered by failed replications and a lack of definitive evidence to …

Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome

Z Yang, L Jian, H Qiu, C Zhang, S Cheng, J Ji… - Translational …, 2021 - nature.com
Brain function relies on efficient communications between distinct brain systems. The
pathology of major depressive disorder (MDD) damages functional brain networks, resulting …

Personalized prediction of transcranial magnetic stimulation clinical response in patients with treatment-refractory depression using neuroimaging biomarkers and …

HJ Hopman, SMS Chan, WCW Chu, H Lu… - Journal of affective …, 2021 - Elsevier
Background Functional connectivity between the left dorsolateral prefrontal cortex (DLPFC)
and subgenual cingulate (sgACC) may serve as a biomarker for transcranial magnetic …

Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis

SE Cohen, JB Zantvoord, BN Wezenberg… - Translational …, 2021 - nature.com
No tools are currently available to predict whether a patient suffering from major depressive
disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic …

Distinctive intrinsic functional connectivity alterations of anterior cingulate cortex subdivisions in major depressive disorder: A systematic review and meta-analysis

Z Zhou, Y Gao, W Bao, K Liang, L Cao, M Tang… - Neuroscience & …, 2024 - Elsevier
Evidence of whether the intrinsic functional connectivity of anterior cingulate cortex (ACC)
and its subregions is altered in major depressive disorder (MDD) remains inconclusive. A …

The spontaneous activity pattern of the middle occipital gyrus predicts the clinical efficacy of acupuncture treatment for migraine without aura

T Yin, G Sun, Z Tian, M Liu, Y Gao, M Dong… - Frontiers in …, 2020 - frontiersin.org
The purpose of the present study was to explore whether and to what extent the
neuroimaging markers could predict the relief of the symptoms of patients with migraine …