Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly [PDF]
Frontiers in Neurology, 2019 Both glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18).
Fangyang Jiao +16 more
doaj +3 more sources
Explainable Schizophrenia Classification from rs-fMRI Using SwiFT and TransLRP
AlgorithmsSchizophrenia is challenging to identify from resting-state functional MRI (rs-fMRI) due to subtle, distributed changes and the clinical need for transparent models. We build on the Swin 4D fMRI Transformer (SwiFT) to classify schizophrenia vs. controls and explain predictions with Transformer Layer-wise Relevance Propagation (TransLRP).
Julian Weaver +4 more
openaire +3 more sources
Resting-state functional MRI of the visual system for characterization of optic neuropathy
Frontiers in Human Neuroscience, 2022 Optic neuropathy refers to disease of the optic nerve and can result in loss of visual acuity and/or visual field defects. Combining findings from multiple fMRI modalities can offer valuable information for characterizing and managing optic neuropathies.
Sujeevini Sujanthan +3 more
doaj +1 more source
Test-retest reliability of task-based and resting-state blood oxygen level dependence and cerebral blood flow measures. [PDF]
PLoS ONE, 2018 Despite their wide-spread use, only limited information is available on the comparative test-retest reliability of task-based functional and resting state magnetic resonance imaging measures of blood oxygen level dependence (tb-fMRI and rs-fMRI) and ...
Štefan Holiga +9 more
doaj +1 more source
The role of resting-state functional MRI for clinical preoperative language mapping
Cancer Imaging, 2020 Background Task-based functional MRI (tb-fMRI) is a well-established technique used to identify eloquent cortex, but has limitations, particularly in cognitively impaired patients who cannot perform language paradigms.
Vinodh A. Kumar +13 more
doaj +1 more source
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression [PDF]
, 2022 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 attention deficit hyperactivity disorder (ADHD), among which functional ...
Shoeibi, Afshin +9 more
core +1 more source
Frontiers in Neurology, 2021 Electroencephalography (EEG) microstate topologies may serve as building blocks of functional brain activity in humans. Here, we studied the spatial and temporal correspondences between simultaneously acquired EEG microstate topologies and resting state ...
Stefan J. Teipel +7 more
doaj +1 more source
Bayesian recurrent state space model for rs-fMRI
CoRR, 2020 Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended ...
Arunesh Mittal +3 more
openaire +2 more sources
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis [PDF]
Frontiers in Neuroscience, 2020 Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional magnetic resonance image (fMRI) data. Despite recent progresses, a common limitation is its difficulty to explain the classification results in a ...
Byung-Hoon Kim, Jong Chul Ye
openaire +5 more sources
rs-fMRI of a healthy volunteer.
, 2021 Three-dimensional MNI surface renders and mean T1 weighted image of rs-fMRI.
Hasyma Abu Hassan (11462539) +10 more
core +1 more source