Depression, neuroimaging and connectomics: a selective overview

Q Gong, Y He - Biological psychiatry, 2015 - Elsevier
Depression is a multifactorial disorder with clinically heterogeneous features involving
disturbances of mood and cognitive function. Noninvasive neuroimaging studies have …

Network science and the human brain: using graph theory to understand the brain and one of its hubs, the amygdala, in health and disease

D Mears, HB Pollard - Journal of neuroscience research, 2016 - Wiley Online Library
Over the past 15 years, the emerging field of network science has revealed the key features
of brain networks, which include small‐world topology, the presence of highly connected …

[HTML][HTML] Sparse network-based models for patient classification using fMRI

MJ Rosa, L Portugal, T Hahn, AJ Fallgatter, MI Garrido… - Neuroimage, 2015 - Elsevier
Pattern recognition applied to whole-brain neuroimaging data, such as functional Magnetic
Resonance Imaging (fMRI), has proved successful at discriminating psychiatric patients from …

Machine learning approaches for integrating clinical and imaging features in late‐life depression classification and response prediction

MJ Patel, C Andreescu, JC Price… - … journal of geriatric …, 2015 - Wiley Online Library
Objective Currently, depression diagnosis relies primarily on behavioral symptoms and
signs, and treatment is guided by trial and error instead of evaluating associated underlying …

Functional connectivity of major depression disorder using ongoing EEG during music perception

W Liu, C Zhang, X Wang, J Xu, Y Chang… - Clinical …, 2020 - Elsevier
Objective The functional connectivity (FC) of major depression disorder (MDD) has not been
well studied under naturalistic and continuous stimuli conditions. In this study, we …

Neural substrates for late-life depression: a selective review of structural neuroimaging studies

YK Kim, KM Han - Progress in Neuro-Psychopharmacology and …, 2021 - Elsevier
Recent neuroimaging studies have characterized the pathophysiology of late-life depression
(LLD) as a dysfunction of the brain networks involved in the regulation of emotion …

Psychoradiological patterns of small-world properties and a systematic review of connectome studies of patients with 6 major psychiatric disorders

X Suo, D Lei, L Li, W Li, J Dai, S Wang, M He… - Journal of Psychiatry and …, 2018 - jpn.ca
Background: Brain connectome research based on graph theoretical analysis shows that
small-world topological properties play an important role in the structural and functional …

Brain network dysfunction in late-life depression: a literature review

R Tadayonnejad, O Ajilore - Journal of geriatric psychiatry …, 2014 - journals.sagepub.com
As a common psychiatric disorder in the growing geriatric population, late-life depression
(LLD) has a negative impact on the cognitive, affective, and somatic domains of the lives of …

Structural alterations of the brain preceded functional alterations in major depressive disorder patients: evidence from multimodal connectivity

Z Yao, Y Zou, W Zheng, Z Zhang, Y Li, Y Yu… - Journal of affective …, 2019 - Elsevier
Background Recent studies showed that major depressive disorder (MDD) has been
involved in abnormal functional and structural connections in specific brain regions …

Childhood maltreatment is associated with alteration in global network fiber-tract architecture independent of history of depression and anxiety

K Ohashi, CM Anderson, EA Bolger, A Khan… - Neuroimage, 2017 - Elsevier
Childhood maltreatment is a major risk factor for psychopathology. It is also associated with
alterations in the network architecture of the brain, which we hypothesized may play a …