Washington University

Oregon Health & Science University

Abraham Snyder

Eric Leuthardt

Carl Hacker

Tim Laumann

Nicholas Szrama

Maurizio Corbetta

Damien A Fair

Nico Dosenbach

Rachel Klein

Jonathan Koller

Oscar Miranda Dominguez

Andrew Van

Anders Perrone

Amy Mirro

Eric Earl

Joseph P Culver

Brian R White

Bradley L Schlaggar

Marcus E Raichle

Michael D Fox

Justin L Vincent

Ki Yun Park

A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

System and method for task-less mapping of brain activity

Methods, computer-readable storage devices, and systems are described for reducing movement of a patient undergoing a magnetic resonance imaging (MRI) scan by aligning MRI data, the method implemented on a Framewise Integrated Real-time MRI Monitoring ('FIRMM') computing device including at least one processor in communication with at least one memory device. Aspects of the method comprise receiving a data frame from the MRI system, aligning the received data frame to a preceding data frame, calculating motion of a body part between the received data frame and the preceding data frame, calculating total frame displacement, and excluding data frames with a cutoff above a pre-identified threshold of the total frame displacement.

Real time monitoring and prediction of motion in MRI

A method for mapping brain function of a subject includes generating a lesion mask using a search light algorithm based on a plurality of anatomical images of the subject. The plurality of anatomical images are registered with atlas images by nonlinear atlas registration using the generated lesion mask to generate a warping map. A plurality of functional images of the subject are resampled using the warping map to generate a functional map, functional connectivity is computed using the functional map and a multi-layer perceptron.

Atlas registration for resting state network mapping in patients with brain tumors

A method for utilizing an optical system for mapping brain function includes determining a time series of light intensity measurements for spatially distributed source and detector pairs, receiving light measurements over a period of time, and producing at least one map of a respective strength of each of a plurality of temporal correlations, wherein the temporal correlations are based on the time series of the spatially distributed source and detector pairs and the light measurements.

Task-less optical mapping of dynamic brain function using resting state functional connectivity

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St. Louis, MO, United States of America

Abraham Snyder