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Related Experiment Video

Updated: Mar 27, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Cortical alpha changes during visuospatial attention: a deep learning-enriched EEG analysis.

Elisa Magosso^1,2, Davide Borra¹

¹Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Cesena Campus, Via dell'Università 50, 47521 Cesena (FC), Italy.

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

|March 26, 2026

Summary

This summary is machine-generated.

This study reveals that the left parietal lobe is crucial for directing visuospatial attention, with a novel deep learning method refining our understanding of alpha-band brain activity modulation.

Keywords:

EEG source reconstruction alpha power anticipatory visuospatial attention interpretable convolutional neural network parietal cortex

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Published on: April 15, 2015

Area of Science:

Neuroscience
Cognitive Neuroscience
Brain Imaging

Background:

Covert visuospatial attention modulates alpha-band brain activity.
Specific cortical regions involved in this modulation are not fully understood.

Purpose of the Study:

To investigate the specific cortical regions involved in alpha-band modulation during cued visuospatial attention.
To present a novel combined approach using conventional analysis and deep learning for brain oscillation research.

Main Methods:

Whole-cortex analysis of alpha-band changes using source-level electroencephalographic (EEG) signals.
Integration of conventional alpha power analysis with a deep learning technique (interpretable convolutional neural network - CNN).
Discrimination of attention direction from EEG signals using the CNN to identify discriminative brain regions.

Main Results:

Conventional analysis indicated selective left parietal lobe involvement and broader right hemisphere involvement.
The CNN approach confirmed dominant left parietal lobe engagement and limited right parietal lobe involvement (supramarginal gyrus).
Findings suggest a tonic engagement of the right parietal lobe, limiting its dynamic alpha modulation range.

Conclusions:

The left parietal lobe plays a dominant role in visuospatial attention.
A combined EEG and deep learning approach effectively characterizes alpha-band attention-related changes.
This study enhances the understanding of neural mechanisms underlying attention and brain oscillations.