AIMC Topic: Dyslexia

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Lightweight hybrid transformers-based dyslexia detection using cross-modality data.

Scientific reports May 16, 2025
Early and precise diagnosis of dyslexia is crucial for implementing timely intervention to reduce its effects. Timely identification can improve the individual's academic and cognitive performance. Traditional dyslexia detection (DD) relies on length...
Humans Electroencephalography Handwriting Dyslexia Deep Learning Magnetic Resonance Imaging Neural Networks, Computer
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Distinct connectivity patterns between perception and attention-related brain networks characterize dyslexia: Machine learning applied to resting-state fMRI.

Cortex; a journal devoted to the study of the nervous system and behavior Nov 8, 2024
Diagnosis of dyslexia often occurs in late schooling years, leading to academic and psychological challenges. Furthermore, diagnosis is time-consuming, costly, and reliant on arbitrary cutoffs. On the other hand, automated algorithms hold great poten...
Reading Dyslexia Perception Nerve Net Male Child Machine Learning Brain Female Brain Mapping Humans Magnetic Resonance Imaging Attention
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An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach.

Behavior research methods Jul 29, 2024
To increase early identification and intervention of dyslexia, a prescreening instrument is critical to identifying children at risk. The present work sought to shorten and validate the 30-item Mandarin Dyslexia Screening Behavior Checklist for Prima...
Checklist Dyslexia China Child East Asian People Schools Mass Screening Humans Reproducibility of Results Machine Learning Female Male Students
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Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis.

Interdisciplinary sciences, computational life sciences Jul 2, 2024
The electrical activity of the neural processes involved in cognitive functions is captured in EEG signals, allowing the exploration of the integration and coordination of neuronal oscillations across multiple spatiotemporal scales. We have proposed ...
Humans Neural Networks, Computer Brain Deep Learning Child Electroencephalography Female Male Dyslexia
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ChatGPT and dyslexia: correspondence.

Disability and rehabilitation. Assistive technology Nov 27, 2023
Humans Dyslexia Artificial Intelligence
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Deep learning classification of reading disability with regional brain volume features.

NeuroImage Apr 11, 2023
Developmental reading disability is a prevalent and often enduring problem with varied mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and phenotypic variation, as well as relatively modest sample sizes, may have limited ...
Humans Dyslexia Child Neuroimaging Comprehension Brain Deep Learning
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A novel approach for detection of dyslexia using convolutional neural network with EOG signals.

Medical & biological engineering & computing Sep 5, 2022
Dyslexia is a learning disability in acquiring reading skills, even though the individual has the appropriate learning opportunity, adequate education, and appropriate sociocultural environment. Dyslexia negatively affects children's educational deve...
Child Neural Networks, Computer Electroencephalography Eye Movements Dyslexia Humans Electrooculography User-Computer Interface
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An Efficient Machine Learning-Based Feature Optimization Model for the Detection of Dyslexia.

Computational intelligence and neuroscience Jul 9, 2022
Dyslexia is among the most common neurological disorders in children. Detection of dyslexia therefore remains an important pursuit for the research works across various domains which is illustrated by the plethora of work presented in diverse scienti...
Dyslexia Child Neural Networks, Computer Humans Support Vector Machine Machine Learning
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Clustering analysis of factors affecting academic career of university students with dyslexia in Italy.

Scientific reports May 30, 2022
This study was designed to explore learning experiences of university students with dyslexia and factors that could contribute to their success in the university career. Although, great efforts have been made to diagnose dyslexia and to mitigate its ...
Dyslexia Humans Students Artificial Intelligence Female Universities Male Cluster Analysis
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Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.

Sensors (Basel, Switzerland) Oct 25, 2021
Objective Dyslexia diagnosis is a challenging task, since traditional diagnosis methods are not based on biological markers but on behavioural tests. Although dyslexia diagnosis has been addressed by these tests in clinical practice, it is difficult ...
Electroencephalography Brain Dyslexia Humans Child Artificial Intelligence Brain Mapping
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