2023
DOI: 10.1002/jnr.25203
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Progressive structural damage in sleep‐related hypermotor epilepsy

Abstract: Xinyue Wan and Weina Wang contributed to this study equally.Edited by Junie Paula Warrington and Carlos Cepeda. Reviewed by Cheng Luo and Junzhan Jing.

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Cited by 3 publications
(3 citation statements)
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References 52 publications
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“…However, results from this work suggest the potential for assessing temporal changes in the structure of the brain by applying granger causality analysis to morphometric data classified according to training duration. The CaSCN revealed that structural changes in one region precede and allow prediction of the change in another region in relationship to the training peroid 15 . The results of CaSCN demonstrated that the thalamus served as the central hub of the GCA network, with thalamic changes potentially causally linked to all other nodes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, results from this work suggest the potential for assessing temporal changes in the structure of the brain by applying granger causality analysis to morphometric data classified according to training duration. The CaSCN revealed that structural changes in one region precede and allow prediction of the change in another region in relationship to the training peroid 15 . The results of CaSCN demonstrated that the thalamus served as the central hub of the GCA network, with thalamic changes potentially causally linked to all other nodes.…”
Section: Discussionmentioning
confidence: 99%
“…This methodological extension has yielded significant insights, especially in characterizing the flow of brain information in various neurological conditions. For instance, in temporal lobe epilepsy, schizophrenia, Parkinson’s disease, and Alzheimer’s disease, GCA has demonstrated its utility in elucidating complex brain dynamics 13 15 . These applications underscore the versatility and robustness of GCA in diverse research contexts.…”
Section: Introductionmentioning
confidence: 99%
“…However, results from this work suggest the potential for assessing temporal changes in the structure of the brain by applying granger causality analysis to morphometric data classi ed according to training duration. The CaSCN revealed that structural changes in one region precede and allow prediction of the change in another region in relationship to the training peroid 42 . The results of CaSCN demonstrated that the thalamus served as the central hub of the GCA network, with thalamic changes potentially causally linked to all other nodes.…”
Section: Discussionmentioning
confidence: 99%