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Neuroimaging in functional neurological disorder: state of the field and research agenda
Functional neurological (conversion) disorder (FND) was of great interest to early clinical
neuroscience leaders. During the 20th century, neurology and psychiatry grew apart-leaving …
neuroscience leaders. During the 20th century, neurology and psychiatry grew apart-leaving …
[HTML][HTML] Artificial intelligence for brain diseases: A systematic review
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …
analyzing complex medical data and extracting meaningful relationships in datasets, for …
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis
Purpose Recently, functional brain networks (FBN) have been used for the classification of
neurological disorders, such as Autism Spectrum Disorders (ASD). Neurological disorder …
neurological disorders, such as Autism Spectrum Disorders (ASD). Neurological disorder …
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction
Purpose Recently, brain connectivity networks have been used for the classification of
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …
neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease …
[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
Functional magnetic resonance imaging in migraine: a systematic review
S Schramm, C Börner, M Reichert, T Baum… - …, 2023 - journals.sagepub.com
Background Migraine is a highly prevalent primary headache disorder. Despite a high
burden of disease, key disease mechanisms are not entirely understood. Functional …
burden of disease, key disease mechanisms are not entirely understood. Functional …
Deep learning for brain disorder diagnosis based on fMRI images
In modern neuroscience and clinical study, neuroscientists and clinicians often use non-
invasive imaging techniques to validate theories and computational models, observe brain …
invasive imaging techniques to validate theories and computational models, observe brain …
Diagnosis of autism spectrum disorder based on functional brain networks with deep learning
Autism spectrum disorder (ASD) is a neurological and developmental disorder. Traditional
diagnosis of ASD is typically performed through the observation of behaviors and interview …
diagnosis of ASD is typically performed through the observation of behaviors and interview …
Multi-scale dynamic graph learning for brain disorder detection with functional MRI
Y Ma, Q Wang, L Cao, L Li, C Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the
detection of brain disorders such as autism spectrum disorder based on various …
detection of brain disorders such as autism spectrum disorder based on various …
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy …
Nowadays, many people worldwide suffer from brain disorders, and their health is in danger.
So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and …
So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and …