Bharath Holla

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression

This study investigates environmental and genetic factors influencing anxiety and depression in children and adolescents across three cohorts, identifying significant environmental impacts and a novel SNP associated with the disorders.

A cross ancestry genetic study of psychiatric disorders from India

This study evaluates the predictive accuracy of polygenic scores for psychiatric disorders in an Indian population using European GWAS data, finding moderate-to-high accuracy for bipolar disorder but lower for OCD and externalizing traits.

Whole Exome Sequencing in dense families suggests genetic pleiotropy amongst Mendelian and complex neuropsychiatric syndromes

This study uses whole exome sequencing in families with multiple affected individuals to identify rare variants in genes associated with both Mendelian and complex neuropsychiatric syndromes.

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.

Sample size requirement for achieving multisite harmonization using structural brain MRI features

This study determines the minimum sample size needed for multisite harmonization using structural brain MRI features and shows how sample size requirements increase with site variability.

Brain charts for the human lifespan

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

Analysis of whole exome sequencing in severe mental illness hints at selection of brain development and immune related genes

The paper analyzes whole exome sequencing data from individuals with severe mental illness to identify genes under positive selection and their biological functions.

Protocol for Magnetic Resonance Imaging Acquisition, Quality Assurance, and Quality Check for the Accelerator Program for Discovery in Brain Disorders using Stem Cells

The paper describes MRI acquisition, quality assurance, and quality check protocols for a longitudinal study on brain disorders using stem cells, showing consistent and reliable data acquisition.

Decentralized multi-site VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: A COINSTAC analysis

This paper uses COINSTAC to perform decentralized VBM analysis on multi-site neuroimaging data to identify age, BMI, and smoking-related structural brain changes.

A series of five population-specific Indian brain templates and atlases spanning ages 6 to 60 years

The paper develops and validates age-specific Indian brain templates and atlases for spatial normalization of MRI data across ages 6-60 years.

Adverse childhood experiences in families with multiple members diagnosed to have psychiatric illnesses

The paper examines the relationship between adverse childhood experiences (ACEs) and the age of onset of psychiatric diagnoses in individuals from families with multiple affected members.