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Abstract #0212

Individualized Functionnectome for the detection of white matter circuits underlying task-fMRI activations in glioma patients

Giovanni Sighinolfi1, Alberto De Luca2, David Neil Manners1,3, Raffaele Lodi1,4, Caterina Tonon1,4, and Alexander Leemans2
1IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Department for Life Quality Studies, University of Bologna, Bologna, Italy, 4Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy

Synopsis

Keywords: Data Processing, Brain Connectivity, Multimodal integration, fMRI (task based), Structural Connectivity

Motivation: The Functionnectome, a framework to project brain functional activity onto underlying white matter pathways, cannot accommodate patients with abnormal brain anatomy, as it is based on priors of structural connectivity derived from healthy subjects.

Goal(s): Develop a method that generates subject-specific Functionnectome maps to more accurately reflect unique brain structure and function in patients.

Approach: Twenty-six glioma patients underwent MRI, including diffusion and task-based functional protocols. Tractography was performed to generate individualized anatomical priors, and subsequently functionnectomes, which were validated for anatomical plausibility.

Results: Individualized methods achieved higher accuracy and specificity than the standard Functionnectome framework, showing greater reproducibility across patients.

Impact: The individualized Functionnectome framework applies the precision medicine paradigm to radiomics, by using brain connectivity maps conformant to each patient’s unique anatomy, thereby ensuring accurate projection in cases with disrupted structures, e.g., due to tumors.

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Keywords