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. 2020 Apr 1;143(4):1106-1113.
doi: 10.1093/brain/awaa053.

Structural and functional footprint of visual snow syndrome

Affiliations

Structural and functional footprint of visual snow syndrome

Christoph J Schankin et al. Brain. .

Abstract

Patients with visual snow syndrome suffer from a continuous pan-field visual disturbance, additional visual symptoms, tinnitus, and non-perceptional symptoms. The pathophysiology of visual symptoms might involve dysfunctional visual cortex. So far, the extra-visual system has not been investigated. We aimed at identifying structural and functional correlates for visual and non-visual symptoms in visual snow syndrome. Patients were compared to age- and sex-matched controls using 18F-2-fluoro-2-deoxy-d-glucose PET (n = 20 per group) and voxel-based morphometry (n = 17 per group). Guided by the PET results, region of interest analysis was done in voxel-based morphometry to identify structural-functional correspondence. Grey matter volume was assessed globally. Patients had corresponding hypermetabolism and cortical volume increase in the extrastriate visual cortex at the junction of the right lingual and fusiform gyrus. There was hypometabolism in the right superior temporal gyrus and the left inferior parietal lobule. Patients had grey matter volume increases in the temporal and limbic lobes and decrease in the superior temporal gyrus. The corresponding structural and functional alterations emphasize the relevance of the visual association cortex for visual snow syndrome. The broad structural and functional footprint, however, confirms the clinical impression that the disorder extends beyond the visual system.

Keywords: FDG PET; migraine; non-visual symptoms; visual snow; voxel-based morphometry.

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Figures

Figure 1
Figure 1
Differences in brain metabolism between patients with VSS and controls. When compared to controls, patients with VSS demonstrated hypermetabolism in FDG PET (red) and a corresponding increase of grey matter volume as determined by VBM (yellow) at the junction of the lingual and fusiform gyrus on the right, both in Brodmann area (BA) 19 (AC). VSS patients showed additional areas of hypometabolism in the right superior temporal gyrus (BA 22, D1) and left inferior parietal lobule (BA 40, D2) without corresponding alterations in grey matter volume. PET statistical parametric maps at a threshold of P < 0.001 uncorrected for multiple comparisons are overlaid on a normalized standard T1-weighted MRI. The VBM map was obtained using a 10-mm sphere as an explicit mask around the maximum from significant PET clusters and thus represents only a part of the grey matter alterations shown in Fig. 2 (threshold P < 0.05, family wise error rate on cluster level). VS = visual snow.
Figure 2
Figure 2
Grey matter volume differences between patients with VSS and controls. Using VBM, we observed grey matter volume increases (visual snow > control) in the right fusiform gyrus (A), the right middle temporal gyrus (B), the right parahippocampal gyrus (C), the left superior temporal gyrus (D) as well as the right anterior cingulate cortex (F) in patients with visual snow syndrome. Grey matter decreases were found in the left superior temporal gyrus (E). VBM statistical parametric maps at a threshold of P < 0.001 uncorrected for multiple comparisons are overlaid on a normalized standard T1-weighted MRI. VS = visual snow.

References

    1. Aurora SK, Barrodale PM, Tipton RL, Khodavirdi A.. Brainstem dysfunction in chronic migraine as evidenced by neurophysiological and positron emission tomography studies. Headache 2007; 47: 996–1003; discussion 4–7. - PubMed
    1. Besteher B, Squarcina L, Spalthoff R, Bellani M, Gaser C, Brambilla P, et al. Brain structural correlates of irritability: findings in a large healthy cohort. Hum Brain Mapp 2017; 38: 6230–8. - PMC - PubMed
    1. Brett M, Anton J-L, Valabregue R, Poline J-B. Region of interest analysis using an SPM toolbox [abstract]. 8th International Conference on Functional Mapping of the Human Brain. Sendai, Japan; 2002.
    1. Carreiras M, Seghier ML, Baquero S, Estevez A, Lozano A, Devlin JT, et al. An anatomical signature for literacy. Nature 2009; 461: 983–6. - PubMed
    1. Chehadi O, Rusu AC, Konietzny K, Schulz E, Koster O, Schmidt-Wilcke T, et al. Brain structural alterations associated with dysfunctional cognitive control of pain in patients with low back pain. Eur J Pain 2018; 22: 745–55. - PubMed

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