title: Brain network dysfunction in late-life depression: a literature review.
abstract: 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 the elderly individuals. Accumulating evidence from the structural and functional imaging studies on LLD supports a "network dysfunction model" rather than a "lesion pathology model" for understanding the underlying biological mechanism in this mental disorder. In this work, we used network dysfunction model as a conceptual framework for reviewing recent neuroimaging findings in LLD. Our focus was on 4 major neurocircuits that have been shown to be involved in LLD: default mood network, cognitive control network, affective/frontolimbic network, and corticostriatal circuits. Findings of LLD-related gray and white matter structural abnormalities and resting-state and task-based functional changes were discussed for each network separately. We extended our review by summarizing the latest works that apply graph theory-based network analysis techniques for testing alterations in whole-brain network properties associated with LLD.
authors.affiliation: Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
authors.forename: Reza
authors.initials: R
authors.lastname: Tadayonnejad
authors.forename: Olusola
authors.initials: O
authors.lastname: Ajilore
mesh_terms: D017668:Age of Onset; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000473:pathology / Q000503:physiopathology*; D001931:Brain Mapping; D003072:Cognition Disorders / Q000503:physiopathology*; D003863:Depression / Q000473:pathology / Q000503:physiopathology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D059906:Neuroimaging / Q000379:methods*
keywords: late-life depression; neurocircuits; neuroimaging