PBHM Workshop: Jivesh Ramduny

Improving the robustness and reproducibility of functional connectomics-based analyses in neurodevelopmental and psychiatric conditions

Jiv, a final year PhD student in the Imaging Mind Architecture Lab, under the supervision of Clare Kelly will discuss his research on improving the robustness and reproducibility of functional connectomics-based analyses in neurodevelopmental and psychiatric conditions. By leveraging resting-state and naturalistic fMRI paradigms derived from consortia-level datasets and community-based samples, Jiv will showcase the ability to delineate the functional brain as “fingerprints” to capture individual differences in the functional connectome, and their ability to relate to individual differences in behavioural phenotypes. Further, Jiv will describe a proof-of-principle approach known as “bagging” to salvage high-movement individuals that would otherwise be discarded in typical brain-behaviour association studies. Lastly, Jiv will shift towards using naturalistic (e.g., movie-watching) data to study how functional brain responses are modulated by depressive symptomatology and emotion regulation strategies at multiple spatial and temporal scales in female adolescents enriched for depressive symptoms.