Comparing sensorimotor and association cortex contributions in late life depression

NIH RePORTER · NIH · R01 · $70,952 · view on reporter.nih.gov ↗

Abstract

Approximately 10% of people aged 60+ suffer from depression. Such late-life depression (LLD) is linked to broader adverse health outcomes such as stroke and dementia. Although individual regions have been identified as neural correlates of LLD, there is no single brain region that explains LLD. Instead, LLD is associated with a highly multivariate and complex pattern of neural changes which can be challenging to interpret. Prior work suggests that the sensorimotor-association axis is a key organizational principle and developmental pathway of the human connectome, which may provide a foundation for understanding the spatial distribution of LLD neural correlates across the brain. In Aim 1 of this proposal we will systematically assess multivariate associations between LLD and whole-brain resting state functional connectivity and map the results onto seven canonical brain networks within the framework of the sensorimotor-association axis. The results will provide an unbiased interpretable spatial pattern of the neural correlates of LLD covering the whole brain. In Aim 2, we will identify symptom-specific spatial patterns of LLD neural correlates. Specifically, we hypothesized that cognitive symptoms such as rumination may rely on association cortices, whereas psychomotor symptoms such as slowed reaction time may explain unimodal involvement in LLD. The candidate, Kassandra Hamilton, joined Dr. Bijsterbosch’s lab in the summer for 2023 through the BP-ENDURE Program. By way of this NIH Diversity Supplement, she is seeking one year of mentored training in neuroimaging, geriatric psychiatry, computational analytics, and career development to strengthen her application to PhD programs, support her preparedness for starting graduate school, and support her longer-term career trajectory towards becoming a neuroimaging scientist. Public health significance: The results from Aim 1 are expected to reduce the current bias towards specific association cortices (specifically default mode, salience, and executive control networks) in research regarding the neural correlates of LLD, and prompt increased research efforts into the role of sensorimotor cortices in LLD. The results from Aim 2 will provide unique symptom-level insights into the neural correlates of LLD which are expected to inform research into LLD heterogeneity, and which may highlight distinct symptom-level treatment pathways.

Key facts

NIH application ID
11064657
Project number
3R01MH128286-03S2
Recipient
WASHINGTON UNIVERSITY
Principal Investigator
Janine Diane Bijsterbosch
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$70,952
Award type
3
Project period
2022-08-05 → 2025-04-23