Sidhant Chopra

97% of 184 high-impact biomedical AI studies compare cross-validated models with tests assuming fold independence; in 69% of re-analyzable studies a significant comparison does not survive correction.

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

This study identifies grey matter coupling patterns with cholinergic nuclei Ch1-4 and their synaptic targets using neuroimaging, showing their correlation with cholinergic markers and potential as disease markers.

The paper examines brain network dynamics in individuals with and without psychiatric diagnoses, finding that these dynamics can differentiate symptom profiles more effectively than diagnostic categories.

This study investigates how non-reinforced and reinforced preference changes are maintained over time using functional MRI, finding distinct neural connectivity patterns in different brain networks.

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

This study identifies molecular and cellular asymmetries in the human brain that underpin lateralized functions like language and visuospatial attention using multimodal data integration.

PsiConnect investigates psilocybin's effects on brain and behavior using multimodal neuroimaging and longitudinal follow-ups.

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

This paper introduces DELSSOME, a deep learning framework that accelerates biophysical brain circuit model optimization, enabling faster parameter estimation and lifespan trajectory analysis of cortical E/I ratios.

This study examines the association between parenthood and brain function in mid- to late-life, finding that higher parity is linked to increased functional connectivity and counteracts age-related declines.

The paper shows that cell type distributions in the cortex are spatially aligned with functional organization patterns from fMRI.

The paper examines how specific lifetime stressor characteristics and brain network connectivity predict anxiety and depression symptoms in adolescents.

This paper identifies widespread functional connectivity differences in cocaine use disorder (CUD) and links these patterns to dopamine D2/3 receptor densities across the brain.

The paper examines sex differences in functional brain network connectivity associated with psychotic-like experiences in children using the ABCD Study dataset.

The paper introduces multilayer meta-matching to improve phenotypic prediction in small datasets by translating models from multiple large datasets, outperforming classical methods and transfer learning.

The paper shows that functional brain connectivity predicts psychiatric illness-linked behaviors differently in males and females, with shared and unique patterns across sexes.

This study uses resting-state fMRI and spDCM to show that postpartum mothers have disinhibited brain connectivity in key regions, suggesting more flexible and responsive behavior in caregiving and cognition.

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

This paper characterizes individualized cortical shape asymmetries using MRI data, finding they are more informative for individual identification than size-based measures.

This study investigates the relationship between motherhood and functional brain connectivity in older adults, finding that motherhood is associated with brain connectivity patterns opposite to age-related decline.

This study finds that myelin content in specific white matter tracts predicts processing speed in healthy adults, with age-related differences observed across tracts.