Azman Akhter

The paper investigates age-related changes in language abilities using neuroimaging and behavioral data, finding that language comprehension remains stable while production declines, with frontal vulnerability and temporal resilience in the core language network.

This paper introduces an explainable deep learning framework to decode brain states and predict individual performance in false-belief tasks using functional connectivity data from early childhood.

The paper investigates how mutations in SLC1A3 (hEAAT1) affect chloride channel activity and glutamate transport in glial cells, linking these changes to the pathology of episodic ataxia type 6.