Justin Taylor Baker

Childhood Maltreatment and Deviations from Normative Brain Structure: Results from 3,711 Individuals from the ENIGMA MDD and ENIGMA PTSD

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis

IBMMA improves neuroimaging analysis by handling missing data and large datasets, revealing new brain region findings overlooked by traditional methods.

Longer scans boost prediction and cut costs in brain-wide association studies

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.

Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup

This study finds smaller total and subregional cerebellar volumes in PTSD compared to controls using a large dataset and advanced parcellation methods.

A Comparison of Methods to Harmonize Cortical Thickness Measurements Across Scanners and Sites

This paper compares four methods for harmonizing cortical thickness data across multiple sites and finds that ComBat-GAM is most effective in detecting case-control differences and age-related cortical thinning.

Mobile Footprinting: Linking Individual Distinctiveness in Mobility Patterns to Mood, Sleep, and Brain Functional Connectivity

This study links individual mobility patterns to mood, sleep, and brain connectivity by identifying unique mobility footprints.

DPSleep: Open-Source Longitudinal Sleep Analysis From Accelerometer Data

DPSleep infers sleep metrics from accelerometer data and links them to other variables, showing actigraphy-based sleep duration correlates with self-reported quality.

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

This study examines structural covariance networks in PTSD using a large multisite dataset, finding differences in centrality measures between PTSD and control groups, and highlighting sex-based and comorbid differences.

Connectivity patterns of task-specific brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and link to molecular architecture

The paper predicts individual schizophrenia symptom dimensions using functional brain networks and links these networks to molecular features like dopamine and serotonin systems.

Functional connectomics of affective and psychotic pathology

The paper examines functional connectomes across psychiatric diagnoses, finding common disruptions in network function across different pathologies and severity scaling, while psychotic symptoms show distinct disruptions.

Precision Brain Morphometry: Feasibility and Opportunities of Extreme Rapid Scans

This paper explores using rapid structural scans and averaging to achieve accurate brain morphometry with less total acquisition time than traditional long scans.

Comparison of stimulus-evoked BOLD responses in human and monkey visual cortex

The paper compares BOLD responses in human and monkey visual cortex to single and spaced checkerboard stimuli, finding similar magnitude and shape, and linear summation at 4.5 sec ISI.