Frank A. Provenzano, PhD

  • Assistant Professor of Neurological Sciences (in Neurology in The Taub Institute)
Profile Headshot

Overview

Academic Appointments

  • Assistant Professor of Neurological Sciences (in Neurology in The Taub Institute)

Gender

  • Male

Credentials & Experience

Education & Training

  • BS, Biomedical Engineering, Columbia University
  • MSc, Biomedical Engineering, Columbia University
  • MPhil, Biomedical Engineering, Columbia University
  • PhD, Biomedical Engineering, Columbia University

Research

Dr. Provenzano's research focuses on developing and validating neuroimaging biomarkers across diverse disorders including neurodegeneration, multiple sclerosis, movement disorders, precision psychiatry, traumatic brain injury, autism, PTSD, and epilepsy. Drawing from his translational work in Alzheimer's disease, he develops methods in surface deformation, tissue analysis, and inherent topology with the goal of creating tools applicable to both clinical and research scans. He has pioneered explainable AI approaches for neuroimaging disease classification and developed high-resolution fMRI techniques to assess disease risk and therapeutic response. By leveraging clinical and research databases across disease types, he extracts quantitative biomarkers from routine imaging as well as advanced modalities like high-field MRI and molecular PET. His current work focuses heavily on democratizing AI-driven biomarker tools for broader clinical adoption and improve diagnostic accuracy.

Dr. Provenzano is an investigator at the Columbia University Alzheimer's Disease Research Center and the National Multiple Sclerosis Brain Bank, a PI of the NINDS-funded Access for All in ALS West Coordinating Center, and founded the Advanced Imaging Analysis Core for the Epilepsy Division. He leads neuroimaging efforts in the Stavros Niarchos Foundation Center for Precision Psychiatry and Mental Health, develops and teaches "Multimodal Neuroimaging" at the Fu Foundation School of Engineering and Applied Sciences, and is a member of the Data Science Institute. He has been a mentor to dozens of students and researchers, from local high school students to VP&S Dean’s Research Fellows. He holds several patents in neuroimaging and is active in entrepreneurship.

Selected Publications

Zou J, Park D, Johnson A, Feng X, Pardo M, France J, Tomljanovic Z, Brickman AM, Devanand DP, Luchsinger JA, Kreisl WC, Provenzano FA; Alzheimer's Disease Neuroimaging Initiative. Deep learning improves utility of tau PET in the study of Alzheimer's disease. Alzheimers Dement (Amst). 2021 Dec 31;13(1):e12264. doi: 10.1002/dad2.12264. PMID: 35005197; PMCID: PMC8719427.

Park DK, Kim W, Thornburg OS, McBrian DK, McKhann GM, Feldstein NA, Maddocks AB, Gonzalez E, Shen MY, Akman C, Provenzano FA. Convolutional neural network-aided tuber segmentation in tuberous sclerosis complex patients correlates with electroencephalogram. Epilepsia. 2022 Jun;63(6):1530-1541. doi: 10.1111/epi.17227. Epub 2022 Mar 31. PMID: 35301716.

Basavaraju R, Guo J, Small SA, Lieberman JA, Girgis RR, Provenzano FA. Hippocampal Glutamate and Positive Symptom Severity in Clinical High Risk for Psychosis. JAMA Psychiatry. 2022;79(2):178–179. doi:10.1001/jamapsychiatry.2021.3710

Brickman AM, Khan UA, Provenzano FA, Yeung LK, Suzuki W, Schroeter H, Wall M, Sloan RP, Small SA. Enhancing dentate gyrus function with dietary flavanols improves cognition in older adults. Nat Neurosci. 2014 Dec;17(12):1798-803

Khan UA, Liu L, Provenzano FA, Berman DE, Profaci CP, Sloan R, Mayeux R, Duff KE, Small SA. Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer's disease.Nat Neurosci. 2014 Feb;17(2):304-11

Provenzano FA, Muraskin J, Tosto G, Narkhede A, Wasserman BT, Griffith EY, Guzman VA, Meier IB, Zimmerman ME, Brickman AM; Alzheimer's Disease Neuroimaging Initiative. White matter hyperintensities and cerebral amyloidosis: necessary and sufficient for clinical expression of Alzheimer disease? JAMA Neurol. 2013 Apr;70(4):455-61.