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Association Areas of the Cortex

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Related Experiment Video

Updated: Mar 24, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Distinct Resting-State Connectomes for Face and Scene Perception Predict Individual Task Performance.

Orhan Soyuhos^1,2,3, Aurelia Scarpa^1,4, Daniel Baldauf¹

¹Centre for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy.

Human Brain Mapping

|March 23, 2026

Summary

This summary is machine-generated.

The Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA) anchor distinct brain networks for processing faces and scenes. Their unique connectivity patterns predict individual perception task performance.

Keywords:

MEG fMRI face perception functional connectivity scene perception

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Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Face and scene perception involve specialized brain regions: the Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA).
The broader network interactions of the FFA and PPA remain incompletely understood.

Purpose of the Study:

To map the spatial and frequency-specific functional connectivity of the FFA and PPA using resting-state fMRI and MEG.
To investigate how these intrinsic network properties relate to individual differences in face and scene perception.

Main Methods:

Resting-state functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) were employed.
Functional connectivity patterns of the FFA and PPA were analyzed in both spatial and frequency domains.
Connectome-based predictive modeling was used to link connectivity to behavioral performance.

Main Results:

The FFA exhibited distinct fMRI connectivity with lateral occipitotemporal, inferior temporal, and temporoparietal regions.
The PPA demonstrated stronger connectivity with ventral medial visual, posterior cingulate, and entorhinal-perirhinal areas.
MEG data revealed network segregation in beta and gamma frequency bands, and connectivity strength predicted task reaction times.

Conclusions:

The FFA and PPA serve as anchors for segregated intrinsic brain networks with unique spatio-temporal characteristics.
These distinct networks provide the functional architecture supporting specialized face and scene perception.
Intrinsic functional connectivity patterns are crucial for understanding individual differences in visual perception.