Project Details
Description
Abstract: Progressive difficulty in performing everyday functional activities is a key diagnostic feature of
dementia syndromes. However, not much is known about the neural signature of functional decline, particularly
during the very early stages of dementia. Early intervention before overt impairment is observed offers the best
hope of reducing the burdens of Alzheimer’s disease and other dementias. But to justify early intervention,
those at risk need to be detected earlier and more accurately.
Decline in complex daily function (CdF) such as managing medications has been reported to precede
impairment in basic activities of daily living (e.g., eating, dressing). Our goal is to establish the neural signature
of decline in CdF during the preclinical dementia period. Gait is central to many CdF and community-based
activities.2,3 Hence, to elucidate the neural signature of CdF, we validated a novel electroencephalographic
(EEG) approach to measure gait-related brain activation while participants perform complex gait based
functional tasks. Our hypothesis is that dementia-related pathology during the preclinical period activates a
unique gait-related EEG pattern that predicts subsequent decline in CdF. We provide preliminary findings
showing that older adults endorsing CdF limitations can be characterized by a unique gait-related neural
signature: weaker sensorimotor and stronger motor control activation. This subsample also had smaller brain
volume and WMH in regions affected early by dementia and engaged in less physical exercise.
We propose a prospective observational cohort study in cognitively unimpaired older adults with and without
subclinical Alzheimer’s disease (plasma amyloid-β [Aβ]) and vascular (white matter hyperintensities [WMH])
pathologies. Our aims are to 1) establish the unique gait-related EEG activation as the neural signature and
predictor of decline in CdF during the preclinical dementia period; 2) determine associations between
dementia-related pathologies and incidence of neural signature of CdF; 3) establish associations between a
dementia risk factor, physical inactivity, and the neural signature of CdF.
By establishing the clinical relevance and biological basis of the neural signature of CdF decline, we aim to
improve prediction during the preclinical stages of Alzheimer’s diseases and other dementias. Our approach
has important research and translational implications because gait-related EEG protocols are relatively
inexpensive and portable, and predicting CdF decline may have real world benefits.
1
Status | Active |
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Effective start/end date | 5/1/23 → 4/30/25 |
Funding
- National Institute on Aging: $829,419.00
- National Institute on Aging: $813,807.00
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