The Medical College of Wisconsin, Inc.

Mcw Research Foundation, Inc.

Piero Antuono

Shi-Jiang Li

James Stewart Hyde

John L Ulmer

Gang Chen

Bharat Biswal

Zhilin Wu

Zerrin F Yetkin

Barney D Ward

Zhu Li

Systems and methods obtain functional connectivity data in the whole brain to detect and predict brain disorders. This whole brain data is regionalized and then manipulated to derive functional connectivity data sets that can be used to show measured functional connectivity changes. This whole brain data may also be analyzed to determine changes in functional activity in both increased and decreased neural network connectivity. By identifying and then quantifying the functional connectivity differences between healthy and diseased subjects, a classification for individual subjects can be made.

Systems and methods for detection and prediction of brain disorders based on neural network interaction

Time course MRI data is acquired from the hippocampal region of the brain and processed to produce an index which is a measure of the functional connectivity between locations therein. The MRI data is acquired while the brain is substantially at rest and the spontaneous low frequency component of the time course data at each location in the hippocampus is extracted and compared in a cross-correlation process.

MRI system and method for producing an index indicative of alzheimer's disease

Growing community of inventors

Wauwatosa, WI, United States of America

Piero Antuono