Jed T. Elison

The paper examines whether increased salience network surface area in adolescents is specific to depression or a general marker of psychopathology, finding stronger associations with overall psychopathology than depression alone.

This study links gut microbiome features to brain development in infants using multimodal neuroimaging and metagenomics.

Among infant siblings of autistic children, greater trial-to-trial variability in visual P1 latency at 6 and 12 months tracked higher 24-month cognitive and language scores; mean P1 measures did not.

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

This study examines subcortical brain development in infants with Down syndrome compared to controls from 6 to 12 months, finding reduced volumes and slower growth in most structures.

This study examines hippocampal subregion development in early life and links growth patterns to school-aged episodic memory performance.

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

The paper demonstrates the feasibility of precision functional imaging in infants to identify individual-specific auditory responses and their relation to brain functional networks.

This study evaluates community detection methods for human connectome networks, finding that likelihood-based criteria outperform other strategies in selecting the number of communities.

This paper demonstrates that 7T MRI improves spatial resolution and data quality for functional brain mapping in infants compared to 3T MRI, enabling more reliable developmental studies.

This study estimates the heritability of functional brain networks in adolescents using SNP and twin data from the ABCD study, finding low genetic contributions.

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.

This study links pupil responses to social stimuli with adaptive behaviors in infants aged 6-24 months using SESAMI and pupillometry.

The paper replicates and extends a negative correlation between hippocampal activation during a verbal memory task and subsequent verbal memory test performance.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

This study identifies infant brain areas with adult-like functional network organization, showing less age-related variation and higher reliability, and suggests implications for using adult network models in infants.

This study uses a variational autoencoder to embed functional connectivity profiles into a latent space for simultaneous comparison across anatomical locations and groups.

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

This study shows that real-time motion monitoring with FIRMM software improves the quality and usability of fMRI data in infants by reducing motion artifacts.

The paper examines how various human milk nutrients are associated with cognitive and temperament traits in infants up to 18 months old, finding persistent effects of certain nutrients on development.

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.