Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping | Zendy

Bradford Z. Mahon | Zendy; Jeffrey A. Mead | Zendy; Benjamin L. Chernoff | Zendy; Maxwell H. Sims | Zendy; Frank E. Garcea | Zendy; Emily Prentiss | Zendy; Raouf Belkhir | Zendy; Sam Haber | Zendy; Sarah B. Gan | Zendy; Steve Erickson | Zendy; Kelly A. Wright | Zendy; Michael Z. Schmidt | Zendy; Audrey Paulzak | Zendy; Vanessa Milano | Zendy; David A. Paul | Zendy; Kenneth Foxx | Zendy; Madalina E. Tivarus | Zendy; Jacob W. Nadler | Zendy; Jacqueline M Behr | Zendy; Susan O. Smith | Zendy; Yan Michael Li | Zendy; Kevin A. Walter | Zendy; Webster H. Pilcher | Zendy

Open Access

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Author(s) -

Bradford Z. Mahon,

Jeffrey A. Mead,

Benjamin L. Chernoff,

Maxwell H. Sims,

Frank E. Garcea,

Emily Prentiss,

Raouf Belkhir,

Sam Haber,

Sarah B. Gan,

Steve Erickson,

Kelly A. Wright,

Michael Z. Schmidt,

Audrey Paulzak,

Vanessa Milano,

David A. Paul,

Kenneth Foxx,

Madalina E. Tivarus,

Jacob W. Nadler,

Jacqueline M Behr,

Susan O. Smith,

Yan Michael Li,

Kevin A. Walter,

Webster H. Pilcher

Publication year - 2019

Publication title -

journal of visualized experiments

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.596

H-Index - 91

ISSN - 1940-087X

DOI - 10.3791/59592

Subject(s) - workflow , translational research , neurosurgery , cognition , outcome (game theory) , brain mapping , neuroscience , medicine , translational science , medical physics , psychology , computer science , surgery , pathology , mathematics , mathematical economics , database

The Translational Brain Mapping Program at the University of Rochester is an interdisciplinary effort that integrates cognitive science, neurophysiology, neuroanesthesia, and neurosurgery. Patients who have tumors or epileptogenic tissue in eloquent brain areas are studied preoperatively with functional and structural MRI, and intraoperatively with direct electrical stimulation mapping. Post-operative neural and cognitive outcome measures fuel basic science studies about the factors that mediate good versus poor outcome after surgery, and how brain mapping can be further optimized to ensure the best outcome for future patients. In this article, we describe the interdisciplinary workflow that allows our team to meet the synergistic goals of optimizing patient outcome and advancing scientific understanding of the human brain.

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