Adam T. Eggebrecht

Highlighting the strengths of new wearable fNIRS, precision accuracy microgenetic research designs, and new NeuroDOT processing algorithm to measure change over time in clinical populations for Speech-Language and Hearing Researchers

The paper demonstrates the use of wearable fNIRS and NeuroDOT processing to analyze cortical dynamics over time in a clinical population, showing changes in hemodynamic responses but no improvement in task accuracy.

Unconstrained naturalistic human brain imaging and decoding with a fully wearable high-density optical system

This paper introduces a wearable high-density optical neuroimaging system that enables high-fidelity decoding of brain activity during naturalistic tasks.

Auditory Speech Processing Efficiency: Functional Connectivity Graph Theory Analysis of Lexical Processing Effort

This study examines differences in linguistic processing effort and efficiency using functional connectivity measures from prefrontal cortex hemodynamic responses during an auditory working memory task with varying word frequencies.

Commonality and Variability in Functional Networks In Children Under 5 Years Old

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

Growth in early infancy drives optimal brain functional connectivity which predicts cognitive flexibility in later childhood

Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome 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.

The Generalizability of Cortical Area Parcellations Across Early Childhood

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.

A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood

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.

Deep-learning based Embedding of Functional Connectivity Profiles for Precision Functional Mapping

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

Mapping brain function underlying naturalistic motor observation and imitation using high-density diffuse optical tomography

This study uses HD-DOT to examine brain activation during motor observation and imitation in autistic and non-autistic adults, finding task-specific MNS activation and associations with autistic traits.

Network level enrichment provides a framework for biological interpretation of machine learning results

This study applies machine learning to neuroimaging data to identify brain connectivity biomarkers linked to age, emphasizing the importance of accounting for family variance and using network enrichment for biological interpretation.

Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer disease

This study shows hub disruption in ADAD follows a targeted attack pattern, detectable pre-clinically and linked to amyloid beta changes and neuronal activity.

A high-density diffuse optical tomography dataset of naturalistic viewing

The paper presents a high-density diffuse optical tomography dataset from participants viewing a movie, suitable for studying cognitive phenomena.

Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography

This paper develops anatomical modeling methods for speckle contrast optical tomography (SCOT) to improve image resolution and SNR by optimizing exposure time and SD-distances.

Prefrontal cortex supports speech perception in listeners with cochlear implants

This study finds that listeners with cochlear implants show greater left prefrontal cortex activity during speech understanding compared to normal hearing listeners.

A processing pipeline for image reconstructed fNIRS analysis using both MRI templates and individual anatomy

This paper presents a pipeline for fNIRS image reconstruction using MRI templates or individual anatomy, showing high temporal correlations and reliability with a longitudinal child dataset.

Global Motion Detection and Censoring in High-Density Diffuse Optical Tomography

This paper introduces a motion detection method for HD-DOT that improves spatial similarity to fMRI by using a global variance of temporal derivatives metric and motion censoring.