Abstract #1588

Capturing Task-evoked Brain Dynamics Based on Eigenmode Reconstruction

Ruoxi Xie¹, Zhongliang Zu^2,3,4, Min Wu^5,6, Yuhao Chen¹, Xinlan Zhang¹, Luying Li¹, Yurui Gao^2,4, Zhaohua Ding^2,4,7, John Gore^2,3,4, Su Lui^5,6, and Yu Zhao^5,6

¹Department of Radiology and Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China, ²Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, ³Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ⁴Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ⁵Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China, ⁶Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, ⁷Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: fMRI Analysis, fMRI Analysis

Motivation: Traditional method treats fMRI signals as linear and use predefined hemodynamic response functions to convolve with the fMRI signal to detect neural activity, which may lead to inaccurate activation maps.

Goal(s): To identify task-evoked brain dynamics at the individual level with high spatiotemporal resolution.

Approach: We used eigenmodes to reconstruct each time point of task fMRI signals and perform statistical inference to characterize of task-evoked activation dynamics.

Results: Our method captured individual, task-evoked activations in motor tasks, highlighting personalized, temporally resolved neural dynamics.

Impact: Our approach enables the capture of individualized, task-evoked brain activation patterns, offering potential advancements in personalized diagnostics and interventions for mental health conditions by identifying unique neural activity signatures and temporal dynamics in task engagement.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.