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Brain & Heart                                                      Application of the neural networks surgery



            61.  Carrera E, Tononi G, 2014, Diaschisis: Past, present, future.   available nodes approach. Brain Behav, 11: e02027.
               Brain, 137l: 2408–2422.
                                                                  https://doi.org/10.1002/brb3.2027
               https://doi.org/10.1093/brain/awu101
                                                               67.  Jiao Y, Lin F, Wu J,  et al., 2016, Lesion-to-eloquent fiber
            62.  Boukrina O, Barrett AM, 2017, Disruption of the ascending   distance is a crucial risk factor in presurgical evaluation
               arousal system and cortical attention networks in post-  of arteriovenous malformations in the temporo–occipital
               stroke delirium and spatial neglect. Neurosci Biobehav Rev,   junction. World Neurosurg, 93: 355–364.
               83: 1–10.
                                                                  https://doi.org/10.1016/j.wneu.2016.06.059
               https://doi.org/10.1016/j.neubiorev.2017.09.024
                                                               68.  Kazumata K, Tha KK, Narita H,  et al., 2015, Chronic
            63.  Bonilha L, Hillis AE, Wilmskoetter J,  et al., 2019, Neural   ischemia alters brain microstructural integrity and cognitive
               structures supporting spontaneous and assisted (entrained)   performance in adult moyamoya disease. Stroke, 46: 354–360.
               speech fluency. Brain, 142: 3951–3962.
                                                                  https://doi.org/10.1161/strokeaha.114.007407
               https://doi.org/10.1093/brain/awz309
                                                               69.  Lei Y, Li Y, Ni W, et al., 2014, Spontaneous brain activity in
            64.  Altinbas A, Van Zandvoort MJ, van den Berg E,  et al.,   adult patients with moyamoya disease: A resting-state fMRI
               2011, Cognition after carotid endarterectomy or stenting:   study. Brain Res, 1546: 27–33.
               A randomized comparison. Neurology, 77: 1084–1090.
                                                                  https://doi.org/10.1016/j.brainres.2013.12.022
               https://doi.org/10.1212/wnl.0b013e31822e55b9
                                                               70.  Lei Y, Song B, Chen L, et al., 2020, Reconfigured functional
            65.  Nauta IM, Kulik SD, Breedt LC,  et al., 2021,    network dynamics in adult moyamoya disease: A resting-
               Functional  brain  network  organization  measured  with   state fMRI study. Brain Imaging Behav, 14: 715–727.
               magnetoencephalography predicts cognitive decline in
               multiple sclerosis. Mult Scler, 27: 1727–1737.      https://doi.org/10.1007/s11682-018-0009-8
               https://doi.org/10.1177/1352458520977160        71.  He S, Liu Z, Xu Z, et al., 2020, Brain functional network in
                                                                  chronic asymptomatic carotid artery stenosis and occlusion:
            66.  Zhang X, Liu J, Chen Y,  et al., 2021, Brain network   Changes and compensation. Neural Plast, 2020: 9345602.
               construction and analysis for patients with mild cognitive
               impairment and Alzheimer’s disease based on a highly-     https://doi.org/10.1155/2020/9345602










































            Volume 1 Issue 1 (2023)                         12                      https://doi.org/10.36922/bh.v1i1.223
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