Joint identification of functionally connected cortical-surface and deep-brain structures for TMS treatment

Yuncong Ma; Hongming Li; Liang Ma; Romain Duprat; Desmond J. Oathes; Yong Fan

doi:10.1117/12.2677859

6 October 2023 Joint identification of functionally connected cortical-surface and deep-brain structures for TMS treatment

Yuncong Ma, Hongming Li, Liang Ma, Romain Duprat, Desmond J. Oathes, Yong Fan

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126551A (2023) https://doi.org/10.1117/12.2677859
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Conference Poster

Abstract

A novel method is developed to jointly identify functionally connected cortical-surface and deep-brain structures for TMS targeting. Anatomical information of the brain structures of interest is first utilized to locate enlarged, candidate brain structures, then a two-way clustering algorithm is adopted to partition the candidate brain structures into functionally homogenous subregions with strong functional connectivity between the cortical-surface and deep-brain structures, and finally the subregions with the strongest functional connectivity are identified as TMS targets. This method has been validated on HCP dataset for identifying personalized sgACC and DLPFC subregions, and demonstrated promising performance, better than alternative methods under comparison.

Citation Download Citation

Yuncong Ma, Hongming Li, Liang Ma, Romain Duprat, Desmond J. Oathes, and Yong Fan "Joint identification of functionally connected cortical-surface and deep-brain structures for TMS treatment", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126551A (6 October 2023); https://doi.org/10.1117/12.2677859

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