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Vince Calhoun, PhD

Vince Calhoun in a striped blue dress shirt, portrait. Jane and Bud Smith Chair

Jane and Bud Smith Chair

Technology is opening new windows of understanding about the brain’s incredible ability to change, grow and adapt, putting us on the cusp of major advances. Dr. Vince Calhoun leverages data in unprecedented ways to help improve individual cognitive function and optimize the performance of the human brain.

Key Research and Publications

As one of the world’s foremost experts in human brain imaging and analysis, Dr. Calhoun’s research focuses on such areas as: image and signal processing; data fusion; multimodal brain imaging (MRI, EEG, MEG, etc.); identification of biomarkers for brain health and disease; machine learning/deep learning; neuroinformatics; and imaging genomics/epigenomics.

Digital image recreation of a human brain glowing orange with white lines & dots connecting and surrounding it

A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery

Dr. Calhoun developed a widely used approach for estimating brain networks from fMRI data and creating a data-driven functional "connectome" of the brain.

A medical team is standing with crossed arms, and their faces are not shown in the picture.

Feature-based Fusion of Medical Imaging Data

This presents a novel framework for combining information from multiple types of neuroimaging data – a way to ‘fuse’ the data to provide something that is greater than the sum of the parts.

Abstract. Blue neurons with a blue background

COINS: An innovative informatics and neuroimaging tool suite built for large heterogeneous datasets

COINS is a neuroinformatics platform used by researchers around the world which provides a comprehensive system for capture, management and analysis of multiple types of neuroimaging and assessment data.

Abstract globe with neural connections.

Deep learning for neuroimaging: a validation study

This paper was one of the first that developed and applied deep learning approaches to neuroimaging data. The use of deep learning/AI tools to study the brain has since exploded, with exciting new research findings coming out all the time.

More Information

Brain-Based Biomarkers with Dr. Vince Calhoun

Brain-Based Biomarkers: A Focus on the Heterogeneous by Enhancing Sensitivity to Brain Disorders and Change The use of neuroimaging to study mental and neurological disorder has shown to be a powerful tool to capture information on the underlying brain changes. However diagnostic heterogeneity is a major issue as the field struggles to learn from the brain imaging data. One important aspect which has not been well explored is the use of rich, high-dimensional brain data to guide us through this complex territory. We show that by focusing on more similar subsets of data, identified via advanced algorithmic strategies, we can facilitate an apples-to-apples comparison, enhance sensitivity to mental illness, and provide a framework for improved stratification.

The Promise of Big Data Imaging for Mental Health

Vince Calhoun, author of the Cerebrum story, “The Promise of Big Data Imaging for Mental Health,” discusses his pioneering research and the evolution of a growing field that has enormous potential to have an impact of both mental health and neurodegenerative treatment.

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