Pratik Mukherjee

Biography
Dr. Mukherjee is a clinical neuroradiologist whose research involves technical development and basic and clinical neuroscience applications of methods for mapping tissue microstructure, connectivity and function in the human brain. Recent work includes diffusion MRI, resting state fMRI and magnetoencephalography (MEG) to study cerebral connectivity, including the whole-brain macroscale network known as the “connectome”, in human brain development, neurodevelopmental disorders and traumatic brain injury (TBI). He has special experience in standardizing structural MRI, diffusion MRI, and fMRI for large-scale multi-site projects and managing the resulting Big Data using cutting-edge informatics platforms and machine learning analytics, which is essential for the clinical translation of new imaging technology. He is a PI and Imaging Core leader of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) US nationwide study and also a PI and Clinical Team Leader of two NIH Brain Research through Advancing Innovative Neuro-technologies (BRAIN) grants to produce transformational advances in ultra-high field brain MR imaging technology.

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Talk
Artificial Neural Networks for Understanding Human Brains
Artificial neural networks (ANNs), including deep learning, were originally inspired by biological neural networks. In turn, ANNs are now being used to study the human brain. We show that deep learning of fMRI can map the brain’s hierarchical functional organization by detecting “meta-networks” that represent interactions of low-order intrinsic connectivity networks.