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 …
Personalized, parcel‐guided rTMS for the treatment of major depressive disorder: Safety and proof of concept
SJ Tang, J Holle, NB Dadario, O Lesslar… - Brain and …, 2023 - Wiley Online Library
Background Not all patients with major depressive disorder (MDD) benefit from the US Food
and Drug Administration‐approved use of repetitive transcranial magnetic stimulation …
and Drug Administration‐approved use of repetitive transcranial magnetic stimulation …
[HTML][HTML] Pursuing personalized medicine for depression by targeting the lateral or medial prefrontal cortex with Deep TMS
BACKGROUND Major depressive disorder (MDD) can benefit from novel interventions and
personalization. Deep transcranial magnetic stimulation (Deep TMS) targeting the lateral …
personalization. Deep transcranial magnetic stimulation (Deep TMS) targeting the lateral …
Lateralized grey matter volume changes in adolescents versus adults with major depression: SDM-PSI meta-analysis
E Zhang, AO Hauson, AA Pollard, B Meis… - Psychiatry Research …, 2023 - Elsevier
The current study is the first meta-analysis to examine grey matter volume (GMV) changes in
adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d …
adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d …
Aberrant associations between neuronal resting-state fluctuations and working memory-induced activity in major depressive disorder
Previous investigations have revealed performance deficits and altered neural processes
during working-memory (WM) tasks in major depressive disorder (MDD). While most of …
during working-memory (WM) tasks in major depressive disorder (MDD). While most of …
Disrupted effective connectivity of the default, salience and dorsal attention networks in major depressive disorder: a study using spectral dynamic causal modelling of …
Y Wang, X Chen, R Liu, Z Zhang, J Zhou, Y Feng… - Journal of Psychiatry and …, 2022 - jpn.ca
Background: Understanding the neural basis for major depressive disorder (MDD) is
essential for its diagnosis and treatment. Aberrant activation and functional connectivity of …
essential for its diagnosis and treatment. Aberrant activation and functional connectivity of …
Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based …
L Wang, Y Qin, S Yang, D Jin, Y Zhu, X Li… - Human Brain …, 2024 - Wiley Online Library
The triple‐network model has been widely applied in neuropsychiatric disorders including
autism spectrum disorder (ASD). However, the mechanism of causal regulations within the …
autism spectrum disorder (ASD). However, the mechanism of causal regulations within the …
Altered resting‐state effective connectivity of trigeminal vascular system in migraine without aura: A spectral dynamic causal modeling study
Z Qin, H Qu, HB Liang, Q Zhou, W Wang… - … : The Journal of …, 2023 - Wiley Online Library
Background The trigeminal vascular system is an important part of the anatomical and
physiological basis of migraine. The effective connectivity (EC) among the regions of interest …
physiological basis of migraine. The effective connectivity (EC) among the regions of interest …
Preliminary findings of a randomized controlled trial investigating the efficacy of transcranial magnetic stimulation in treatment-resistant depression: a post-hoc …
Introduction Despite the high hopes for the use of transcranial magnetic stimulation (TMS) in
the treatment of depression, between 30% and 60.5% of patients do not respond to …
the treatment of depression, between 30% and 60.5% of patients do not respond to …
[HTML][HTML] Effects of escitalopram therapy on effective connectivity among core brain networks in major depressive disorder
Y Wang, J Zhou, X Chen, R Liu, Z Zhang, L Feng… - Journal of Affective …, 2024 - Elsevier
Background Patients with major depressive disorder (MDD) have abnormal functional
interaction among large-scale brain networks, indicated by aberrant effective connectivity of …
interaction among large-scale brain networks, indicated by aberrant effective connectivity of …