The Structural and Functional Neuroanatomy of Post-Stroke Depression and Executive Dysfunction : A Review of Neuroimaging Findings and Implications for Treatment

Post-stroke depression and executive dysfunction co-occur and are highly debilitating. Few treatments alleviate both depression and executive dysfunction after stroke. Understanding the brain network changes underlying post-stroke depression with executive dysfunction can inform the development of targeted and efficacious treatment. In this review, we synthesize neuroimaging findings in post-stroke depression and post-stroke executive dysfunction and highlight the network commonalities that may underlie this comorbidity. Structural and functional alterations in the cognitive control network, salience network, and default mode network are associated with depression and executive dysfunction after stroke. Specifically, post-stroke depression and executive dysfunction are both linked to changes in intrinsic functional connectivity within resting state networks, functional over-connectivity between the default mode and salience/cognitive control networks, and reduced cross-hemispheric frontoparietal functional connectivity. Cognitive training and noninvasive brain stimulation targeted at these brain network abnormalities and specific clinical phenotypes may help advance treatment for post-stroke depression with executive dysfunction.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:35

Enthalten in:

Journal of geriatric psychiatry and neurology - 35(2022), 1 vom: 01. Jan., Seite 3-11

Sprache:

Englisch

Beteiligte Personen:

Jaywant, Abhishek [VerfasserIn]
DelPonte, Larissa [VerfasserIn]
Kanellopoulos, Dora [VerfasserIn]
O'Dell, Michael W [VerfasserIn]
Gunning, Faith M [VerfasserIn]

Links:

Volltext

Themen:

Cerebrovascular disease
Cognitive control
Default mode network
Journal Article
Magnetic resonance imaging
Neuroimaging
Review

Anmerkungen:

Date Completed 26.01.2022

Date Revised 26.01.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1177/0891988720968270

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM316431249