Our results suggest that there are significant differences between control and schizophrenic subjects based on regional brain activity detected with fMRI.
Sep 18, 2017 · Our results suggest that there are significant differences between control and schizophrenic subjects based on regional brain activity detected with fMRI.
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Schizophrenia has been proposed to result from impairment of functional connectivity. We aimed to use machine learning to distinguish schizophrenic subjects ...
We aimed to use machine learning to distinguish schizophrenic subjects from normal controls using a publicly available functional MRI (fMRI) data set. Global ...
Schizophrenia has been proposed to result from impairment of functional connectivity. We aimed to use machine learning to distinguish schizophrenic subjects ...
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI · List of references · Publications that cite this publication.
We tested whether the network measure of betweenness centrality could classify persons with schizophrenia and normal controls. Functional networks were ...
Jan 17, 2024 · One IC from fMRI (DMN network) showed significantly reduced loading coefficients in schizophrenia participants with PNS, suggesting reduced ...
fMRI provides a unique means to study schizophrenia because it is non-invasive and unlike Electroencephalography (EEG) can image deep brain structures, such as ...
In this paper, we successfully discriminated schizophrenic and healthy subjects and identified the brain regions affected by schizophrenia using a graph- ...