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Estimation accuracy across different structural and functional components of the BVEP model.
Published 2021“…<p>(<b>A</b>) Excitability values used for simulation () versus the estimated values () for a selected brain region (node number 6). As the node dynamics are varied by changing the excitability parameter (functional component), the model inversion by NUTS algorithm demonstrates an accurate and robust estimation by recovering the ground truth. …”
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Image_1_Test-retest reliability of modular-relevant analysis in brain functional network.PDF
Published 2022“…Considering the repeatability of network partition depends heavily on network size and module detection algorithm, we constructed three types of brain functional networks for each subject by using a set of coarse-to-fine brain atlases and adopted four methods for single-subject module detection and twelve methods for group-level module detection.…”
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Data_Sheet_1_Abnormal Brain Functional Network Dynamics in Acute CO Poisoning.docx
Published 2021“…</p><p>Methods: Combining the sliding window method and k-means algorithm, we identified four recurrent dynamic functional cognitive impairment states from resting-state functional magnetic resonance imaging data from 29 patients in the acute phase of carbon monoxide poisoning and 29 healthy controls. …”
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Table_1_Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.DOCX
Published 2019“…<p>Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. …”
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The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation.
Published 2023Subjects: -
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VAS tolerability scores (min = 0, max = 10) of all sessions of all participants.
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Accuracy across different ROIs for the classification shown by various models.
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Time taken for data processing up to prediction, varying the number of ROIs used.
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ROC and MCC across different ROIs for the classification shown by various models.
Published 2023Subjects: -
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