Faculty Collaboration Database

Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression. J Psychiatr Res 2017 Apr;87:71-80

Date

12/27/2016

Pubmed ID

28017917

Pubmed Central ID

PMC5336398

DOI

10.1016/j.jpsychires.2016.12.011

Scopus ID

2-s2.0-85007203312 (requires institutional sign-in at Scopus site)   34 Citations

Abstract

Prior studies have demonstrated dysfunctions within the core neurocognitive networks (the executive control [ECN], default mode [DMN] and salience [SN] networks) in late-life depression (LLD). Whether inter-network dysfunctional connectivity is present in LLD, and if such disruptions are associated with core symptom dimensions is unknown. A cross-sectional resting-state functional connectivity magnetic resonance imaging investigation was conducted of LLD (n = 39) and age- and gender-equated healthy comparison (HC) (n = 29) participants. Dual regression independent component analysis approach was used to identify components that represented the ECN, DMN and SN. The intrinsic inter-network connectivity was compared between LLD and HC participants and the relationship of inter-network connectivity abnormalities with dimensional measures was examined. Relative to HC participants, LLD subjects showed decreased inter-network connectivity between the bilateral ECN and default mode subcortical (thalamus, basal ganglia and ventral striatum) networks, and the left ECN and SN insula component; and increased inter-network connections between the left ECN and posterior DMN and salience (dorsal anterior cingulate) network components. Distinct inter-network connectivity abnormalities correlated with depression and anxiety severity, and executive dysfunction in LLD participants. LLD subjects also showed pronounced intra-network connectivity differences within the ECN, whereas fewer but significant DMN and SN disruptions were also detected. Investigating the intrinsic inter-network functional connectivity could provide a mechanistic framework to better understand the neural basis that underlies core symptom dimensions in LLD. Inter-network connectivity measures have the potential to be neuroimaging biomarkers of symptom dimensions comprising LLD, and may assist in developing symptom-specific treatment algorithms.

Author List

Li W, Wang Y, Ward BD, Antuono PG, Li SJ, Goveas JS

Authors

Piero G. Antuono MD Professor in the Neurology department at Medical College of Wisconsin
Joseph S. Goveas MD Professor in the Psychiatry and Behavioral Medicine department at Medical College of Wisconsin
Yang Wang MD Professor in the Radiology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Activities of Daily Living
Aged
Aged, 80 and over
Brain
Brain Mapping
Case-Control Studies
Cognition Disorders
Depression
Executive Function
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Middle Aged
Neural Pathways
Neuropsychological Tests
Psychiatric Status Rating Scales
Statistics, Nonparametric