Cameron Thomas Ellis

Eccentricity, but not category, organizes infant ventral temporal cortex

The paper investigates how eccentricity, not category, organizes infant ventral temporal cortex by showing that collateral sulcus in infants responds more to large stimuli than small ones, without a preference for scenes over letters.

Enhanced processing of cartoons in infant visual cortex

The paper tests if cartoons elicit stronger neural responses than realistic movies in infants, finding that animated versions produce more reliable visual cortex activity.

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.

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.

Awake infant fMRI: Insights from more than 750 scanning sessions

This study analyzes 766 awake infant fMRI sessions to identify factors affecting data collection and retention, offering insights to improve future research.

Functional networks in the infant brain during sleep and wake states

The paper compares functional brain networks in infants during sleep and wake states using fMRI, showing differences between states and their similarity to adult networks.

Movies reveal the fine-grained organization of infant visual cortex

This study uses fMRI to show that movie-evoked activity in infants reveals functional organization of visual cortex, including homotopic and distinct responses across hemispheres and visual areas.

Automated and manual segmentation of the hippocampus in human infants

The paper compares manual and automated methods for hippocampus segmentation in infants, finding that ASHS provides more reliable results than manual or other automated approaches.

Face processing in the infant brain after pandemic lockdown

The paper examines how pandemic lockdowns affected infant face processing by comparing neural responses in pre- and post-lockdown infants using fMRI.

Neural event segmentation of continuous experience in human infants

This paper investigates event segmentation in infants using fMRI and a hidden Markov model, finding that infants represent longer events with no timescale hierarchy, unlike adults.

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.

Retinotopic organization of visual cortex in human infants

This study uses fMRI to show retinotopic organization in human infants aged 5-23 months, with age-related changes suggesting ongoing refinement of visual cortex structure.

Evidence of hippocampal learning in human infants

This study shows that the human hippocampus is active in infants during statistical learning tasks, similar to adults.

Attention recruits frontal cortex in human infants

This study uses fMRI to show that frontal cortex regions in infants 3-12 months old are involved in attentional reorienting, similar to adults, with no age-related differences in neural or behavioral responses.

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain

This paper introduces a functional searchlight method to analyze fMRI data, revealing that visual, auditory, and semantic features are more distributed in the brain than previously thought.

Emergence and organization of adult brain function throughout child development

The paper uses fMRI data to study how adult brain functions develop in children by comparing predicted and actual brain activity during movie watching.

Facilitating open-science with realistic fMRI simulation: validation and application

This paper introduces fmrisim, a Python package for simulating realistic fMRI data, validated to match real noise properties and used to optimize experimental design and pre-registration.

How to read a baby's mind: Re-imagining fMRI for awake, behaving infants

The paper develops methods for fMRI in awake infants, shares datasets and software, and provides recommendations for data collection and analysis.

Feasibility of Topological Data Analysis for event-related fMRI

This study investigates whether persistent homology can recover topological structure from event-related fMRI data under practical constraints.