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Related Experiment Video

Updated: Feb 3, 2026

Measuring Attentional Biases for Threat in Children and Adults

Measuring Attentional Biases for Threat in Children and Adults

Published on: October 19, 2014

Connectome-based models predict attentional control in aging adults.

Stephanie Fountain-Zaragoza¹, Shaadee Samimy¹, Monica D Rosenberg²

¹Department of Psychology, The Ohio State University, USA.

|November 6, 2018

Summary

The sustained attention connectome-based prediction model (saCPM) predicts inhibitory control across ages. Age-related differences in specific brain network connections within the saCPM explain performance declines in older adults.

Keywords:

Aging Attentional control Connectome modeling Functional connectivity fMRI

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Last Updated: Feb 3, 2026

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Area of Science:

Neuroscience
Cognitive Aging
Brain Connectivity

Background:

Age-related differences in attention are well-known, but individual variability in neurocognitive aging is increasingly recognized.
Connectome-based predictive modeling (CPM) predicts behavior from functional connectivity.
A sustained attention CPM (saCPM) derived in young adults comprises high- and low-attention networks.

Purpose of the Study:

To test the generalizability of the saCPM for predicting inhibitory control in older adults.
To investigate age-related differences in functional connectivity within the saCPM.
To identify neural mechanisms underlying age-related attentional deficits.

Main Methods:

Used connectome-based predictive modeling (CPM) to derive a sustained attention CPM (saCPM) in young adults.
Administered a modified Stroop task to healthy young and older adults.
Analyzed whole-brain functional connectivity and its relationship with behavioral performance.

Main Results:

The saCPM successfully predicted inhibitory control (reaction time cost) across age groups.
Older adults showed poorer performance on the Stroop task.
Specific subnetworks within the saCPM, characterized by stronger connectivity in older adults, mediated age-related performance differences.

Conclusions:

The saCPM captures attention-related functional connectivity patterns across individuals and age groups.
Age-related functional connectivity differences within saCPM subnetworks are critical for understanding attentional control deficits in aging.
Individual variability in brain network organization influences cognitive aging trajectories.