Classification of Brain Conditions: Identification of Significant Regions and Analysis of Temporal Dynamics

Valeriia Kirova, Fyodor Ratnikov

Keywords: Brain state classification, Feature importance, Interpretability, Brain activation patterns, fMRI data analysis

TL;DR: Our study demonstrates the effectiveness of classical machine learning methods in classifying brain states from fMRI data, identifying key brain regions, and highlighting the importance of temporal dynamics in understanding functional connectivity.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 283