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Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study

Visual snow syndrome is a neurological condition characterized by continuous visual disturbance and a range of non-visual symptoms, including tinnitus and migraine. Little is known about the pathological mechanisms underlying visual snow syndrome. Here, we assessed brain morphometry and microstructu...

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Autores principales: Strik, Myrte, Clough, Meaghan, Solly, Emma J, Glarin, Rebecca, White, Owen B, Kolbe, Scott C, Fielding, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373960/
https://www.ncbi.nlm.nih.gov/pubmed/35974797
http://dx.doi.org/10.1093/braincomms/fcac164
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author Strik, Myrte
Clough, Meaghan
Solly, Emma J
Glarin, Rebecca
White, Owen B
Kolbe, Scott C
Fielding, Joanne
author_facet Strik, Myrte
Clough, Meaghan
Solly, Emma J
Glarin, Rebecca
White, Owen B
Kolbe, Scott C
Fielding, Joanne
author_sort Strik, Myrte
collection PubMed
description Visual snow syndrome is a neurological condition characterized by continuous visual disturbance and a range of non-visual symptoms, including tinnitus and migraine. Little is known about the pathological mechanisms underlying visual snow syndrome. Here, we assessed brain morphometry and microstructure in visual snow syndrome patients using high-resolution structural and quantitative MRI. Forty visual snow syndrome patients (22 with migraine) and 43 controls underwent 7-Tesla MRI (MP2RAGE, 0.75 mm isotropic resolution). Volumetric and quantitative T1 values were extracted for white and grey matter regions and compared between groups. Where regions were significantly different between groups (false discovery rate corrected for multiple comparisons), post hoc comparisons were examined between patients with and without migraine. For visual snow syndrome patients, significant MRI variables were correlated with clinical severity (number of visual symptoms, perceived visual snow intensity, disruptiveness, fatigue and quality of life) and psychiatric symptoms prevalent in visual snow syndrome (depression, anxiety and depersonalization). Finally, cortical regions and individual thalamic nuclei were studied. Compared with controls, visual snow syndrome patients demonstrated a trend towards larger brain and white matter volumes and significantly lower T1 values for the entire cortex (P < 0.001), thalamus (P = 0.001) and pallidum (P = 0.001). For the patient group, thalamic T1 correlated with number of visual symptoms (P = 0.019, r = 0.390) and perceived disruptiveness of visual snow (P = 0.010, r = 0.424). These correlations did not survive multiple comparison corrections. As for specificity in visual snow syndrome group, T1 changes were most evident in caudal regions (occipital cortices) followed by parietal, temporal and prefrontal cortices. T1 values differed between groups for most individual thalamic nuclei. No differences were revealed between patients with and without migraine. In visual snow syndrome patients, we observed no changes in morphometry, instead widespread changes in grey matter microstructure, which followed a caudal-rostral pattern and affected the occipital cortices most profoundly. Migraine did not appear to independently affect these changes. Lower T1 values may potentially result from higher neurite density, myelination or increased iron levels in the visual snow syndrome brain. Further investigation of these changes may enhance our understanding of the pathogenesis of visual snow syndrome, ultimately leading to new treatment strategies.
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spelling pubmed-93739602022-08-15 Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study Strik, Myrte Clough, Meaghan Solly, Emma J Glarin, Rebecca White, Owen B Kolbe, Scott C Fielding, Joanne Brain Commun Original Article Visual snow syndrome is a neurological condition characterized by continuous visual disturbance and a range of non-visual symptoms, including tinnitus and migraine. Little is known about the pathological mechanisms underlying visual snow syndrome. Here, we assessed brain morphometry and microstructure in visual snow syndrome patients using high-resolution structural and quantitative MRI. Forty visual snow syndrome patients (22 with migraine) and 43 controls underwent 7-Tesla MRI (MP2RAGE, 0.75 mm isotropic resolution). Volumetric and quantitative T1 values were extracted for white and grey matter regions and compared between groups. Where regions were significantly different between groups (false discovery rate corrected for multiple comparisons), post hoc comparisons were examined between patients with and without migraine. For visual snow syndrome patients, significant MRI variables were correlated with clinical severity (number of visual symptoms, perceived visual snow intensity, disruptiveness, fatigue and quality of life) and psychiatric symptoms prevalent in visual snow syndrome (depression, anxiety and depersonalization). Finally, cortical regions and individual thalamic nuclei were studied. Compared with controls, visual snow syndrome patients demonstrated a trend towards larger brain and white matter volumes and significantly lower T1 values for the entire cortex (P < 0.001), thalamus (P = 0.001) and pallidum (P = 0.001). For the patient group, thalamic T1 correlated with number of visual symptoms (P = 0.019, r = 0.390) and perceived disruptiveness of visual snow (P = 0.010, r = 0.424). These correlations did not survive multiple comparison corrections. As for specificity in visual snow syndrome group, T1 changes were most evident in caudal regions (occipital cortices) followed by parietal, temporal and prefrontal cortices. T1 values differed between groups for most individual thalamic nuclei. No differences were revealed between patients with and without migraine. In visual snow syndrome patients, we observed no changes in morphometry, instead widespread changes in grey matter microstructure, which followed a caudal-rostral pattern and affected the occipital cortices most profoundly. Migraine did not appear to independently affect these changes. Lower T1 values may potentially result from higher neurite density, myelination or increased iron levels in the visual snow syndrome brain. Further investigation of these changes may enhance our understanding of the pathogenesis of visual snow syndrome, ultimately leading to new treatment strategies. Oxford University Press 2022-06-23 /pmc/articles/PMC9373960/ /pubmed/35974797 http://dx.doi.org/10.1093/braincomms/fcac164 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Strik, Myrte
Clough, Meaghan
Solly, Emma J
Glarin, Rebecca
White, Owen B
Kolbe, Scott C
Fielding, Joanne
Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title_full Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title_fullStr Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title_full_unstemmed Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title_short Microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative MRI study
title_sort microstructure in patients with visual snow syndrome: an ultra-high field morphological and quantitative mri study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373960/
https://www.ncbi.nlm.nih.gov/pubmed/35974797
http://dx.doi.org/10.1093/braincomms/fcac164
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