The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 2020

Filed:

Nov. 09, 2015
Applicants:

The General Hospital Corporation, Boston, MA (US);

Massachusetts Institute of Technology, Boston, MA (US);

Inventors:

Pavitra Krishnaswamy, Boston, MA (US);

Patrick Purdon, Somerville, MA (US);

Gabriel Obregon-Henao, Boston, MA (US);

Matti Hamalainen, Boston, MA (US);

Behtash Babadi, Allston, MA (US);

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/0436 (2006.01); A61B 5/0476 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0436 (2013.01); A61B 5/0476 (2013.01); A61B 5/055 (2013.01); A61B 5/4064 (2013.01);
Abstract

A method for non-invasively resolving electrophysiological activity in sub-cortical structures located deep in the brain by comparing amplitude-insensitive M/EEG field patterns arising from activity in subcortical and cortical sources under physiologically relevant sparse constraints is disclosed. The method includes a sparse inverse solution for M/EEG subcortical source modeling. Specifically, the method employs a subspace-pursuit algorithm rooted in compressive sampling theory, performs a hierarchical search for sparse subcortical and cortical sources underlying the measurement, and estimates millisecond-scale currents in these sources to explain the data. The method can be used to recover thalamic and brainstem contributions to non-invasive M/EEG data, and to enable non-invasive study of fast timescale dynamical and network phenomena involving widespread regions across the human brain.


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