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Visual Agnosia

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...

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Related Experiment Video

Updated: Aug 30, 2025

Randomized, Triple-Blind, and Parallel-Controlled Trial of Transcranial Direct Current Stimulation for Cognitive Rehabilitation after Stroke

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Published on: June 6, 2025

Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.

Yichen Zhang¹, Linlin Ye¹, Lei Cao¹

¹Department of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, China.

Frontiers in Neuroscience

|August 29, 2022

Summary

Resting-state EEG reveals altered brainwave patterns in stroke patients with visuospatial neglect (VSN). The delta/alpha ratio (DAR) and specific EEG markers show potential for identifying VSN post-stroke.

Keywords:

alpha oscillation delta/alpha ratio resting-state EEG stroke visuospatial neglect

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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Area of Science:

Neuroscience
Clinical Electrophysiology
Stroke Rehabilitation

Background:

Visuospatial neglect (VSN) is a common deficit after stroke, impacting patient recovery.
Electrophysiological markers of VSN are not well-established, necessitating further research.
Resting-state electroencephalography (rsEEG) offers a non-invasive method to investigate brain activity.

Purpose of the Study:

To explore the electrophysiological characteristics of rsEEG in stroke patients with VSN.
To identify potential EEG biomarkers for VSN detection and severity assessment.
To correlate EEG findings with functional outcomes in stroke survivors.

Main Methods:

Included 44 sub-acute stroke patients (26 with VSN, 18 without) and 18 healthy controls.
Recorded 64-channel rsEEG to analyze spectral power in different frequency bands.
Calculated delta/alpha ratio (DAR) and brain symmetry index (pdBSI); correlated with functional scales (BI, FMA, BBS) and VSN tests.

Main Results:

Patients with VSN exhibited increased delta/theta and decreased alpha/beta power compared to controls and non-VSN patients.
Higher global DAR and DAR over the affected hemisphere (DAR_AH) were found in VSN patients.
DAR_AH showed high diagnostic value (AUC=0.865) for VSN; DAR correlated with balance and VSN task performance.

Conclusions:

rsEEG, particularly DAR and parieto-occipital pdBSI_alpha, may serve as valuable screening tools for VSN after stroke.
These EEG markers correlate with functional deficits, suggesting their utility in assessing VSN severity.
Further validation of rsEEG biomarkers could enhance stroke patient management and rehabilitation strategies.