Resting State Functional Connectivity Analysis Using Magnetoencephalography (MEG) Differs Between Visual Snow Patients and Controls

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Identifier 20230314_nanos_sciplatform3_07
Title Resting State Functional Connectivity Analysis Using Magnetoencephalography (MEG) Differs Between Visual Snow Patients and Controls
Creator Jenny Hepschke; Ghasem Azemi; Paul Sowman; Clare Fraser
Affiliation (JH) Queen Elizabeth Hospital; (GA) (PS) Macquarie University; (CF) Save Sight Institute
Subject Higher Visual Functions
Description The syndrome of visual snow (VSS) has so far been described by observed patterns of increased neuronal excitability and hyperexcitability. When hyperexcitability affects cortical networks it can lead to thalamocortical dysrythmias, a presumed cause for related disorders tinnitus, migraine and tremor. Visual cortex gamma oscillations reflect cognitive processing in the cortex. Alpha oscillations are associated with thalamically generated pulses of cortical inhibition, altering information processing. In this study we used Magnetocephalography (MEG) to determine whether resting-state oscillatory activity in VS patients exhibits distinct patterns akin to that seen in other disorders.
Date 2023-03
References None provided.
Language eng
Format application/pdf
Type Text
Source 49th Annual North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2023: Scientific Platform Session III: https://novel.utah.edu/collection/NAM/toc/
Collection Neuro-Ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher North American Neuro-Ophthalmology Society
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah, 10 N 1900 E SLC, UT 84112-5890
Rights Management Copyright 2023. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6cd425g
Setname ehsl_novel_nam
ID 2389035
Reference URL https://collections.lib.utah.edu/ark:/87278/s6cd425g
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