Priyanka Chakraborty

This study identifies right-lateralized structural network reorganization and neuromolecular correlates in hyperthyroidism, linking them to cognitive and clinical variables.

This paper introduces a generalized scaling law for neural data, showing that brain synchrony affects scaling exponents across the lifespan and in ADHD.

The paper identifies GABA and glutamate as computational mechanisms preserving functional integration in aging brains despite structural decline, validated across datasets.

This study uses a whole-brain generative model to show how short- and long-range white matter tracts contribute to dynamic compensation in aging brains by modulating global coupling strength and conduction delay.

The paper uses a computational framework to study how glutamate and GABA levels change with age to maintain neural network performance and brain health.

The paper identifies structural and dynamically similar areas that predict compensatory brain regions after a lesion, showing they are primarily recruited from the ipsilesional hemisphere.

This study investigates how aging affects brain network dynamics through synchrony and metastability across different timescales using computational models and neuroimaging data.