Mechanism, connectivity, and outcome prediction of anxiety intervention from MRI-derived models in tDCS augmented cognitive training

NIH RePORTER · NIH · F31 · $43,902 · view on reporter.nih.gov ↗

Abstract

Project Summary / Abstract Alzheimer’s disease (AD) is the most common form of dementia. The rate of dementia increases almost exponentially with age – thus, the prevalence of AD has rapidly grown with the global life expectancy. Dementia is detrimental to an individual’s standard of life, economic status, and psychological condition. Studies have shown that certain neuropsychiatric disorders can promote the progression of mild cognitive impairment (MCI) to AD. These disorders include anxiety, depression, and apathy. Depression and apathy have been studied in this population; however, anxiety has largely been neglected. Understanding the mechanism, brain connectivity, and response heterogeneity involved in anxiety interventions is pivotal in developing individualized interventions for anxiety-paired MCI or AD. This proposal broadly aims to understand the mechanism of anxiety interventions in an older adult population. The objective of this work is to compare the neural changes that occur in individuals who respond and do not respond to the non-invasive intervention. This work focuses on transcranial direct current stimulation (tDCS) for anxiety intervention. Prior works have shown that tDCS shows promise to treat anxiety when paired with cognitive training. However, a greater understanding of its mechanisms is required to develop a consistent pipeline for this intervention. Functional magnetic resonance imaging (fMRI) will be used to identify the regions of interest (ROIs) that are responsible for neurophysiological changes in tDCS-paired cognitive training for anxiety intervention (Aim 1). We focus on specific brain regions (DLPFC, DMPFC, VLPFC) that have been shown to lead to response in previous anxiety and dementia studies. Our hypothesis is that these activity in these regions will be positively correlated to changes in neural function compared to sham. The neuroimaging results will highlight the specific functional connectivity networks (left or right DLPFC, ACC) in fMRI that are associated with response to cognitive training and tDCS intervention (Aim 2). Our analysis target specific functional connectivity networks that are backed by anxiety research. These results will provide insight into the best intervention strategies to yield positive results to anxiety interventions. All together, these aims will provide crucial insight into anxiety pathways and the ideal steps for targeted anxiety interventions to prevent AD and related dementia. This training proposal will provide the applicant with comprehensive training in effective teaching and mentoring techniques. She will foster her ability to collaborate seamlessly within interdisciplinary teams and hone the skills necessary for disseminating research findings to both scientific and clinical audiences. The applicant will gain experience in designing and performing experiments that combine neural and cognitive outcome measures. These experiences will further exposure her to advanced machine...

Key facts

NIH application ID
10997645
Project number
1F31AG087647-01A1
Recipient
UNIVERSITY OF FLORIDA
Principal Investigator
Skylar E Stolte
Activity code
F31
Funding institute
NIH
Fiscal year
2024
Award amount
$43,902
Award type
1
Project period
2024-08-16 → 2025-08-15