Debbrata K. Saha

The paper links functional change patterns to brain structure using multimodal fusion in adolescents, revealing sex-specific differences in neural dynamics.

This paper introduces a method to estimate whole brain PET and fMRI connectomes using spatially constrained independent component analysis and examines their relationship in mild cognitive impairment patients.

The paper introduces dcSBM, a decentralized constrained source-based morphometry method for multivariate brain structure analysis, showing it reliably identifies group differences in brain morphology across sites.

The paper introduces decentralized quality control tools for neuroimaging data in federated environments, showing promising results in visualization and outlier detection while preserving privacy.

This paper proposes a classification-based method to determine the optimal number of states in dynamic functional connectivity analysis, showing improved classification accuracy compared to traditional methods.

This paper introduces a statelet-based approach to analyze dynamic functional network connectivity, finding reduced modularity and lower connection consistency in schizophrenia patients compared to healthy controls.