2022 Pilot Projects
"Self-generated thought as link between brain aging and emotional well-being"
Aim 1: Understand the brain networks associated with self generated thought (SGT) frequency and emotional valence. By utilizing a large, publicly available dataset with a one-time measure of SGT frequency and emotional valence during resting state fMRI scanning, we first aim to establish the FC associated with age-related differences in SGT frequency and emotional valence.
Aim 2: Examine how day-to-day fluctuations in SGT frequency and emotional valence relate to experienced vs. evaluative EWB. We will probe participants about whether they are currently engaged in SGT (frequency) and what they are thinking about (content, including emotional valence), as well as questions about their mood (experienced EWB). We will measure evaluative EWB at baseline.
Adam Turnbull, PhD
University of Rochester
Kathi Heffner, PhD, University of Rochester
Jonathan Smallwood, PhD, Queen's University
"The effect of heterochronic blood exchange on the emotion-related mesoscopic brain network in aged mice"
Aim 1: Evaluate how social isolation affects cortical resting-state functional connectivity in aged mice.
Aim 2: Evaluate the impact of young blood on cortical resting-state functional connectivity in aged mice.
Taken together, findings from our proposed studies will provide a neural circuit-level understanding of the effects of social isolation and heterochronic blood exchange on the aged brain, and highlight potential circuit targets for rejuvenation therapies.
Ju Lu, PhD
University of California, Santa Cruz
Irina Conboy, PhD, University of California Berkeley