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Related Experiment Video

Updated: Sep 10, 2025

Modulating Cognition Using Transcranial Direct Current Stimulation of the Cerebellum

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Dynamic brain states during reasoning tasks: a co-activation pattern analysis.

Fatemeh Hasanzadeh¹, Christian Habeck², Yaakov Stern²

¹Cognitive Neuroscience Division, Department of Neurology, Columbia University, NY, NY, USA; Gertrude H. Sergievsky Center, Columbia University, NY, NY, USA.

|August 27, 2025

Summary

This summary is machine-generated.

Co-activation pattern (CAP) analysis reveals dynamic brain states during reasoning. Task-related CAPs enhance performance, while aging alters these patterns, impacting cognitive function.

Keywords:

Brain Network Dynamics Co-activation pattern (CAP) analysis Cognitive Performance Dynamic brain states Functional MRI (FMRI)Reasoning Task

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Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Published on: September 22, 2014

Area of Science:

Neuroscience
Cognitive Science
Psychology

Background:

Brain activity shows temporal variability, often missed by traditional fMRI.
Co-activation pattern (CAP) analysis offers a framework for studying transient brain states.
Limited research exists on CAPs in cognitive tasks, especially reasoning.

Purpose of the Study:

Investigate co-activation patterns (CAPs) during reasoning tasks.
Examine the relationship between CAPs, cognitive performance, and individual differences like age.
Assess the functional relevance of CAPs to cognitive engagement.

Main Methods:

Applied CAP analysis to fMRI data from 303 participants during reasoning tasks and resting state.
Utilized K-means clustering to identify distinct CAPs.
Analyzed temporal metrics (occupancy, dwelling time, transitions) and their relation to cognitive performance and age.

Main Results:

Identified four distinct CAPs; CAP2 and CAP3 were engaged during reasoning, overlapping with visual, default mode, and sensorimotor networks.
Longer dwelling times and higher occupancy of CAP2 and CAP3 correlated with better reasoning performance.
Aging was linked to reduced task-relevant CAP engagement and increased transitions to baseline states.

Conclusions:

Dynamic brain state reconfiguration, captured by CAP analysis, is crucial for reasoning.
CAP analysis is a valuable tool for studying transient brain function and individual cognitive differences.
Findings highlight age-related changes in brain dynamics impacting cognitive performance.