AIMC Topic: Malformations of Cortical Development

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Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia.

Epilepsy & behavior : E&B May 31, 2015
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most common lesion in adults with treatment-resistant epilepsy. Advances in MRI have revolutionized the diagnosis of FCD, resulting in higher success rates fo...
Humans Machine Learning Female Young Adult Adult Male Child, Preschool Child Magnetic Resonance Imaging Epilepsy Head Malformations of Cortical Development
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Automated Whole-Brain Focal Cortical Dysplasia Detection Using MR Fingerprinting With Deep Learning.

Neurology Jun 10, 2025
BACKGROUND AND OBJECTIVES: Focal cortical dysplasia (FCD) is a common pathology for pharmacoresistant focal epilepsy, yet detection of FCD on clinical MRI is challenging. Magnetic resonance fingerprinting (MRF) is a novel quantitative imaging techniq...
Humans Brain Female Young Adult Adult Male Middle Aged Deep Learning Adolescent Magnetic Resonance Imaging Gray Matter White Matter Drug Resistant Epilepsy Malformations of Cortical Development Focal Cortical Dysplasia
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Focal cortical dysplasia detection by artificial intelligence using MRI: A systematic review and meta-analysis.

Epilepsy & behavior : E&B Jun 1, 2025
PURPOSE: Focal cortical dysplasia (FCD) is a common cause of pharmacoresistant epilepsy. However, it can be challenging to detect FCD using MRI alone. This study aimed to review and analyze studies that used machine learning and artificial neural net...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Magnetic Resonance Imaging Malformations of Cortical Development Focal Cortical Dysplasia
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