The neurophysiological underpinnings of brain resilience: a BOLD fMRI deep phenotyping study

Motivation: Basal plasticity leads to time-dependent stochasticity in neurons' responsiveness to stimuli. Stochasticity results in neuronal activity variance that has been described at single-cell resolution; however, mesoscopic scale measures are lacking. Goal(s): We set out to quantify response variability to stimulation as detected by BOLD fMRI and quantify the extent to which this variability is correlated to age and cognitive decline. Approach: Long (3-hour) imaging protocols provide deep within-subject characterization of response variability in the transgenic F344AD rat model. Results: On a whole brain level, greater variability correlates with age and degree of cognitive impairment. Impact: The development of a non-invasive MRI assay to assess brain resilience is an important step towards bettering our understanding of why individuals are differentially susceptible to cognitive decline due to Alzheimer's disease pathology.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4225
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The neurophysiological underpinnings of brain resilience: a BOLD fMRI deep phenotyping study

Margaret M. Koletar, Bojana Stefanovic, Maged Goubran, Keying Chen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

The neurophysiological underpinnings of brain resilience: a BOLD fMRI deep phenotyping study

Margaret M. Koletar, Bojana Stefanovic, Maged Goubran, Keying Chen, Dustin Loren Almanza, John G. Sled, Emma Pineau
article en

Abstract

Motivation: Basal plasticity leads to time-dependent stochasticity in neurons' responsiveness to stimuli. Stochasticity results in neuronal activity variance that has been described at single-cell resolution; however, mesoscopic scale measures are lacking. Goal(s): We set out to quantify response variability to stimulation as detected by BOLD fMRI and quantify the extent to which this variability is correlated to age and cognitive decline. Approach: Long (3-hour) imaging protocols provide deep within-subject characterization of response variability in the transgenic F344AD rat model. Results: On a whole brain level, greater variability correlates with age and degree of cognitive impairment. Impact: The development of a non-invasive MRI assay to assess brain resilience is an important step towards bettering our understanding of why individuals are differentially susceptible to cognitive decline due to Alzheimer's disease pathology.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.