Andrew Saykin's, PsyD research program focuses on precision medicine for the early detection of Alzheimer’s disease and related dementias. His laboratory utilizes the integration of advanced multimodal high throughput neuroimaging, cognitive neuroscience, and multiple “omics” data, such as gene and protein/metabolite networks, to identify novel biomarkers of disease mechanisms and potential therapeutic targets of disease. Saykin’s research also encompasses the study of cognitive/memory deficits as they relate to cancer, traumatic brain injury, temporal lobe epilepsy, schizophrenia and other brain diseases.
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Saykin discusses path to precision medicine
In Alzheimer’s disease, neuropathology may be present 15-20 years prior to symptom onset, necessitating the need for early detection and intervention. Therefore, multimodal high throughput neuroimaging provides an in vivo evolving readout of neuropathology of brain disease, allowing for the investigation of clinical problems and the analysis of brain structure, function, activity and connectivity.
This information is integrated with advanced analytics that utilize multi-omics datasets, such as transcriptomics, metabolomics, proteomics, and genomics, in a systems biology approach that simulates complex biological systems and interactions. In unison, these complex tools aid in the identification of biomarkers for early risk, which are important for characterizing pathophysiology, identifying novel targets for therapeutic development and assessing the response to treatment.
Indiana Alzheimer’s Disease Research Center (IADRC)
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular Drivers
Cognitive Aging, Alzheimer’s disease, and Cancer-related Cognitive Decline
Ultrascale Machine Learning to Empower Discovery in Alzheimer’s Disease Biobanks
Korean Brain Aging Study, Longitudinal Endophenotypes and Systems Biology
Genetics Core
Northern California Institute/Res/Edu
Training Grant on Alzheimer's Disease and ADRD at Indiana University
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
Duke University (Prime: NIH)
Gut Liver Brain Biochemical Axis in Alzheimer’s Disease
Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's Disease

Andrew J. Saykin, PsyD
Director, Center for Neuroimaging and Indiana Alzheimer's Disease Research Center

Soumilee Chaudhuri

Kaitlyn Dybing

Desarae Dempsey

Lauren Hirschfeld