Alcohol misuse is a risk factor for early onset cognitive impairment, contributing to 10% of early onset dementia, with risk corresponding to consumption. Additionally, continued drinking risks worsening cognitive decline and dementia progression, while worsening cognitive impairment contributes to drinking escalation. Repetitive transcranial magnetic stimulation (rTMS) has been shown to improve cognition in Alzheimer's Disease and Related Dimentias (ADRD) and separately reduce heavy drinking in alcohol use disorder. Our objective is to optimize rTMS for simultaneous mitigation of both drinking and cognitive dysfunction in older adults.
Alcohol misuse is a risk factor for early onset cognitive impairment, contributing to 10% of early onset dementia, with risk corresponding to consumption. Additionally, continued drinking risks worsening cognitive decline and dementia progression, while worsening cognitive impairment contributes to drinking escalation. Notably, there exists no intervention targeting the intersection of alcohol misuse and cognitive dysfunction in older adults. It is unclear whether alcohol contributes to a specific form of Alzheimer's Disease and Related Dementias (ADRD) and furthermore whether the impairments and structural brain changes represent classical ADRD neurodegenerative patterns. Despite the unclear etiopathogenesis, there is emerging evidence that repetitive transcranial magnetic stimulation (rTMS) to upregulate executive/cognitive control circuitry can improve cognition in ADRD, and separately reduce heavy drinking in AUD. Our long-term objective is to optimize rTMS for simultaneous mitigation of both drinking and cognitive dysfunction in older adults towards breaking this cycle and thwarting progression to dementia.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
35
Participants in this group will receive 10 sessions of iTBS-rTMS per day, 5 days per week for one week (50 sessions total)
Medical Univeristy of South Carolina
Charleston, South Carolina, United States
Medical University of South Carolina
Charleston, South Carolina, United States
Change in NIH Toolbox-Cognition Battery (NIHTB-CB) Fluid Composite
The NIHTB-CB is a performance-based, iPad-administered \~30-minute suite of 7 tests that ascertain abilities in different cognitive domains (i.e. executive function, episodic memory, working memory, processing speed, language). It was developed using advanced psychometric techniques to minimize measurement error and produces normed subtest and composite scores. We will use the fully-corrected T-score (range T=0-100; Mean T=50, SD=10; higher scores indicating better cognition) of the Fluid Cognition Composite (normed for age, sex, years of education, and race/ethnicity) to more accurately reflect global, dynamic thinking abilities that reflect the presence of disease or the impact of interventions, and not premorbid influences on test scores.
Time frame: Week 0 (1 week pre-treatment), Week 2 (immediately post-treatment), Week 6 (4 weeks post-treatment)
Change in Subjective Drinking
The Alcohol Timeline Followback (TLFB-90) is a drinking assessment method that obtains estimates of daily drinking. Using a calendar, people provide retrospective estimates of their daily drinking over 90 days from the interview date. Several memory aids can be used to enhance recall (e.g., calendar; key dates serve as anchors for reporting drinking; standard drink conversion).
Time frame: Week 0 (1 week pre-treatment), Week 2 (immediately post-treatment), Week 6 (4 weeks post-treatment)
Change in Network Functional Connectivity between and among cognitive and reward networks and other networks
fMRI will be collected while participants are at rest (i.e. rs-fMRI) during the pre-treatment and post-treatment MRI sessions. The rs-fMRI data will be used to compute functional connectivity, which is the correlation between the activity in each brain region pair over the course of the scan. Each brain region belongs to 1 of 7 previously defined networks (frontoparietal: FPN; default mode: DMN; dorsal attention: DAT; ventral attention: VAT; limbic: LIM; visual: VIS; somatomotor: MOT). Functional connectivity can thus be computed for each network by taking the average of connectivity of all regions belonging to the respective network.
Time frame: Week 0 (1 week pre-treatment), Week 2 (immediately post-treatment),
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