Todd Constable

Website:

Constable Lab

Professor of Radiology and Biomedical Imaging, Neurosurgery & Biomedical Engineering

Office Address:

300 Cedar Street

New Haven, CT 06511

Mailing Address:

P.O. Box 208043

New Haven, CT 06520

Phone: (203) 737-2768

Email: todd.constable@yale.edu

Degrees:

Ph.D., University of Toronto

Interests:

Dr. Todd Constable's research primarily focuses on functional magnetic resonance (MR) and understanding cognitive processes that are related to language and memory and how these processes may be altered in different disease states or with different medications. An important aspect of some of the imaging techniques he is developing is the ability to separate indirect physiologic changes associated with particular diseases or medications from those that directly impact neuronal processes.

Selected Awards & Honors:

Distinguished Alumni Award, University of Winnipeg (2019)
Distinguished Investigator Award, The Academy of Radiology Research (2015)
Fellow, International Society of Magnetic Resonance in Medicine (2014)

Selected Publications:

Horien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189:676-687.
Eickhoff SB, Constable RT, Yeo BT. Topographic organization of the cerebral cortex and brain cartography. NeuroImage 2018, 170:332-347.
Greene AS, Gao S, Scheinost D, Constable RT. Task-induced brain state manipulation improves prediction of individual traits. Nature Communications 2018, 9:2807.
Finn ES, Scheinost D, Finn DM, Shen X, Papademetris X, Constable RT. Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage 2017, 160:140-151.
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12:506-518.
Finn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience 2015, 18:1664-71.