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Related Experiment Video

Updated: Jun 21, 2025

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Task and stimulus coding in the multiple-demand network.

Sneha Shashidhara^1,2, Moataz Assem², Matthew F Glasser³

¹Center for Social and Behaviour Change, Ashoka University, Sonipat, 131029, India.

Cerebral Cortex (New York, N.Y. : 1991)

|July 14, 2024

Summary

This summary is machine-generated.

Human brain

Keywords:

RSA faces and houses mixed selectivity multiple-demand network task demand

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Area of Science:

Neuroscience
Cognitive Neuroscience

Background:

The multiple-demand (MD) network is crucial for cognitive control in the human brain.
Previous research in monkeys showed distinct neural activity patterns for different cognitive operations and stimulus details.

Purpose of the Study:

To investigate if human MD activation patterns similarly discriminate between tasks and stimulus types using advanced fMRI.
To compare human fMRI findings with nonhuman primate electrophysiological data on neural selectivity.

Main Methods:

Utilized Human Connectome Project fMRI data and a 360-region cortical parcellation.
Compared multivariate activity patterns across three tasks (working memory, task-switching, stop-signal) and two stimulus classes (faces, buildings) in each cortical parcel.

Main Results:

Both task and stimulus category were discriminated in all cortical parcels, with varying discrimination strength.
MD regions strongly discriminated cognitive operations, while visual cortex and adjacent areas showed stronger stimulus discrimination.
Limited evidence for nonlinear mixed selectivity was found in humans, unlike in monkeys; discriminations were largely linear.

Conclusions:

Human MD network activity patterns show both similarities and differences compared to nonhuman primate data.
Task and stimulus information are represented across the cortex, with specialized regions for each.
The findings suggest a predominantly linear combination of task and stimulus information in the human brain's activity patterns.