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March 30, 2020International Journal of Neural SystemsOpen Access

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

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Why the study?

Diagnosis of developmental dyslexia typically relies on behavioral performance tests with high variance, motivating an alternative diagnostic method based on involuntary neurophysiological responses to auditory stimuli.

Does an EEG-based anomaly detection system using temporal and spectral descriptors accurately diagnose developmental dyslexia compared to controls?

Population

Controls and developmental dyslexia subjects

Comparison

EEG temporal and spectral features during auditory stimuli vs controls

Authors

AOAndrés OrtízFMFrancisco J. Martínez-MurciaJLJuan L. Luque

Discussion

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Overview

May aid EEG-based dyslexia screening; leaves open prospective validation before clinical adoption.

Structured PICO

Does an EEG-based anomaly detection system using temporal and spectral descriptors accurately diagnose developmental dyslexia compared to controls?

P
Population
Subjects with developmental dyslexia (DD) and controls
I
Intervention
EEG-based diagnostic method using temporal and spectral features of involuntary neurophysiological responses to auditory stimuli, processed via an autoencoder anomaly detection system
C
Comparator
Controls (subjects without DD)
O
Outcome
Sensitivity of differential diagnosis of DDsurrogate

An EEG-based anomaly detection system using temporal and spectral features from auditory stimuli responses can differentiate between dyslexic subjects and controls with up to 0.9 sensitivity.

Cite This Study

Ortíz et al. (2020) studied this question.

synapsesocial.com/papers/69e503fe892c878e25b73855https://doi.org/10.1142/s012906572050029x
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