R01AG070861
Project Grant
Overview
Grant Description
Digital Biomarkers for Alzheimer's Disease
Alzheimer's Disease (AD) is marked by progressive neuropathological changes that begin decades before cognitive and functional symptoms. Efforts have been focused on developing innovative tools and biomarkers for early identification of pre-dementia stages. However, the clinical ability to identify those with pre-dementia stages of AD has been limited and requires expensive (amyloid PET) or invasive (lumbar puncture) testing.
Subtle changes in connected speech may be detectable years before overt disease symptoms present. Our team has developed an approach that uses machine learning and natural language processing combined with advanced acoustic phonetic and lexical-semantic analyses. Preliminary data show promise in identifying AD biomarker status and predicting 2-year cognitive progression.
In the proposed study, we leverage our success in collecting cerebrospinal fluid (CSF) biomarkers, neuroimaging, and detailed cognitive phenotyping combined with audio recordings of participants in the Brain Stress, Hypertension, and Aging Research Program cohort. This cohort, now in its third year of follow-up, consists of 400 individuals 50 years or older with normal cognition or mild cognitive impairment. We plan to extend this cohort of 400 participants for 3 more years to collect additional waves of voice recordings, cognitive assessments, follow-up CSF biomarkers, and neuroimaging.
Our overarching hypothesis is that the derived novel features reflecting poor lexical-semantic connectedness or acoustic perturbations are significantly different between biomarker-positive and -negative participants. These features have better diagnostic performance with regards to the ATN framework than traditional cognitive tests and can track disease progression.
The specific aims of this study are:
1) Determine the accuracy of the derived digital biomarkers in detecting in-vivo AD pathology and ATN classification in the B-Sharp cohort.
2) Investigate the association of the derived digital biomarkers with disease progression and cognitive decline.
3) Investigate the ability of repeated measurement of the digital biomarkers to track disease progression.
This project will provide needed insight into the use of non-invasive digital biomarkers to improve the ability to detect and track longitudinal changes in cognitive and functional status in AD. It will also set the foundation for a future larger pivotal study.
Alzheimer's Disease (AD) is marked by progressive neuropathological changes that begin decades before cognitive and functional symptoms. Efforts have been focused on developing innovative tools and biomarkers for early identification of pre-dementia stages. However, the clinical ability to identify those with pre-dementia stages of AD has been limited and requires expensive (amyloid PET) or invasive (lumbar puncture) testing.
Subtle changes in connected speech may be detectable years before overt disease symptoms present. Our team has developed an approach that uses machine learning and natural language processing combined with advanced acoustic phonetic and lexical-semantic analyses. Preliminary data show promise in identifying AD biomarker status and predicting 2-year cognitive progression.
In the proposed study, we leverage our success in collecting cerebrospinal fluid (CSF) biomarkers, neuroimaging, and detailed cognitive phenotyping combined with audio recordings of participants in the Brain Stress, Hypertension, and Aging Research Program cohort. This cohort, now in its third year of follow-up, consists of 400 individuals 50 years or older with normal cognition or mild cognitive impairment. We plan to extend this cohort of 400 participants for 3 more years to collect additional waves of voice recordings, cognitive assessments, follow-up CSF biomarkers, and neuroimaging.
Our overarching hypothesis is that the derived novel features reflecting poor lexical-semantic connectedness or acoustic perturbations are significantly different between biomarker-positive and -negative participants. These features have better diagnostic performance with regards to the ATN framework than traditional cognitive tests and can track disease progression.
The specific aims of this study are:
1) Determine the accuracy of the derived digital biomarkers in detecting in-vivo AD pathology and ATN classification in the B-Sharp cohort.
2) Investigate the association of the derived digital biomarkers with disease progression and cognitive decline.
3) Investigate the ability of repeated measurement of the digital biomarkers to track disease progression.
This project will provide needed insight into the use of non-invasive digital biomarkers to improve the ability to detect and track longitudinal changes in cognitive and functional status in AD. It will also set the foundation for a future larger pivotal study.
Funding Goals
TO ENCOURAGE BIOMEDICAL, SOCIAL, AND BEHAVIORAL RESEARCH AND RESEARCH TRAINING DIRECTED TOWARD GREATER UNDERSTANDING OF THE AGING PROCESS AND THE DISEASES, SPECIAL PROBLEMS, AND NEEDS OF PEOPLE AS THEY AGE. THE NATIONAL INSTITUTE ON AGING HAS ESTABLISHED PROGRAMS TO PURSUE THESE GOALS. THE DIVISION OF AGING BIOLOGY EMPHASIZES UNDERSTANDING THE BASIC BIOLOGICAL PROCESSES OF AGING. THE DIVISION OF GERIATRICS AND CLINICAL GERONTOLOGY SUPPORTS RESEARCH TO IMPROVE THE ABILITIES OF HEALTH CARE PRACTITIONERS TO RESPOND TO THE DISEASES AND OTHER CLINICAL PROBLEMS OF OLDER PEOPLE. THE DIVISION OF BEHAVIORAL AND SOCIAL RESEARCH SUPPORTS RESEARCH THAT WILL LEAD TO GREATER UNDERSTANDING OF THE SOCIAL, CULTURAL, ECONOMIC AND PSYCHOLOGICAL FACTORS THAT AFFECT BOTH THE PROCESS OF GROWING OLD AND THE PLACE OF OLDER PEOPLE IN SOCIETY. THE DIVISION OF NEUROSCIENCE FOSTERS RESEARCH CONCERNED WITH THE AGE-RELATED CHANGES IN THE NERVOUS SYSTEM AS WELL AS THE RELATED SENSORY, PERCEPTUAL, AND COGNITIVE PROCESSES ASSOCIATED WITH AGING AND HAS A SPECIAL EMPHASIS ON ALZHEIMER'S DISEASE. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Texas
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 05/31/26 to 05/31/27 and the total obligations have increased 2022% from $158,926 to $3,371,926.
The University Of Texas Southwestern Medical Center was awarded
Digital Biomarkers for Alzheimer's Disease Progression
Project Grant R01AG070861
worth $3,371,926
from National Institute on Aging in September 2021 with work to be completed primarily in Texas United States.
The grant
has a duration of 5 years 8 months and
was awarded through assistance program 93.866 Aging Research.
The Project Grant was awarded through grant opportunity Research on Current Topics in Alzheimer's Disease and Its Related Dementias (R01 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 6/20/25
Period of Performance
9/30/21
Start Date
5/31/27
End Date
Funding Split
$3.4M
Federal Obligation
$0.0
Non-Federal Obligation
$3.4M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01AG070861
Additional Detail
Award ID FAIN
R01AG070861
SAI Number
R01AG070861-2025578066
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NN00 NIH National Insitute on Aging
Funding Office
75NN00 NIH National Insitute on Aging
Awardee UEI
YZJ6DKPM4W63
Awardee CAGE
1CNP4
Performance District
TX-90
Senators
John Cornyn
Ted Cruz
Ted Cruz
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,516,851 | 100% |
Modified: 6/20/25