Ruchika Shaurya Prakash

The paper introduces edge community entropy as a measure of neural dedifferentiation in aging, showing it correlates with age and fluid cognition, particularly in older adults.

The paper predicts exercise adherence in older adults using brain structure and function, along with other measures, showing multimodal models have the highest predictive power.

This paper uses connectome-based predictive modeling to predict working memory in multiple sclerosis patients, finding that models from healthy adults perform better than those trained on MS data.

The paper develops a connectome-based predictive model of attentional control in aging using functional brain networks and validates it across independent samples.