Madhur Parihar

The paper uses a novel 'liquidity' metric to analyze gene expression trajectories across lifespan, revealing delayed maturation and perinatal GABA switch in schizophrenia risk without detectable neuropathology.

The paper analyzes transcriptomic and proteomic data from specific brain regions to identify molecular changes in schizophrenia, showing superior regional discrimination in transcriptomic and proteomic data.

The paper links miR-137 and its target genes to schizophrenia risk through emotion processing in the prefrontal cortex, showing allele associations with brain activation patterns.

The paper identifies a striatal gene set linked to schizophrenia risk that predicts in vivo dopamine synthesis and striatal activation in neurotypical and patient cohorts.

The paper investigates RA network robustness during embryogenesis, finding direction-dependent trade-offs in feedback responses that affect developmental outcomes.