Postoperative increase in grey matter volume in visual cortex after unilateral cataract surgery

Abstract Inconsistent findings from migraine neuroimaging studies have limited attempts to localize migraine symptomatology. Novel brain network mapping techniques offer a new approach for linking neuroimaging findings to a common neuroanatomical substrate and localizing therapeutic targets. In this study, we attempted to determine whether neuroanatomically heterogeneous neuroimaging findings of migraine localize to a common brain network. We used meta-analytic coordinates of decreased grey matter volume in migraineurs as seed regions to generate resting state functional connectivity network maps from a normative connectome (n = 1000). Network maps were overlapped to identify common regions of connectivity across all coordinates. Specificity of our findings was evaluated using a whole-brain Bayesian spatial generalized linear mixed model and a region of interest analysis with comparison groups of chronic pain and a neurologic control (Alzheimer’s disease). We found that all migraine coordinates (11/11, 100%) were negatively connected (t ≥ ±7, P < 10−6 family-wise error corrected for multiple comparisons) to a single location in left extrastriate visual cortex overlying dorsal V3 and V3A subregions. More than 90% of coordinates (10/11) were also positively connected with bilateral insula and negatively connected with the hypothalamus. Bayesian spatial generalized linear mixed model whole-brain analysis identified left V3/V3A as the area with the most specific connectivity to migraine coordinates compared to control coordinates (voxel-wise probability of ≥90%). Post hoc region of interest analyses further supported the specificity of this finding (ANOVA P = 0.02; pairwise t-tests P = 0.03 and P = 0.003, respectively). In conclusion, using coordinate-based network mapping, we show that regions of grey matter volume loss in migraineurs localize to a common brain network defined by connectivity to visual cortex V3/V3A, a region previously implicated in mechanisms of cortical spreading depression in migraine. Our findings help unify migraine neuroimaging literature and offer a migraine-specific target for neuromodulatory treatment.

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Reduced visual cortex grey matter volume in children and adolescents with reactive attachment disorder

NeuroImage Clinical ◽

10.1016/j.nicl.2015.07.001 ◽

2015 ◽

Vol 9 ◽

pp. 13-19 ◽

Cited By ~ 19

Author(s):

Koji Shimada ◽

Shinichiro Takiguchi ◽

Sakae Mizushima ◽

Takashi X. Fujisawa ◽

Daisuke N. Saito ◽

...

Keyword(s):

Visual Cortex ◽

Children And Adolescents ◽

Grey Matter ◽

Reactive Attachment Disorder ◽

Grey Matter Volume ◽

Attachment Disorder ◽

Matter Volume ◽

Reactive Attachment

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Structural and functional footprint of visual snow syndrome

Brain ◽

10.1093/brain/awaa053 ◽

2020 ◽

Vol 143 (4) ◽

pp. 1106-1113 ◽

Cited By ~ 4

Author(s):

Christoph J Schankin ◽

Farooq H Maniyar ◽

Denise E Chou ◽

Michael Eller ◽

Till Sprenger ◽

...

Keyword(s):

Visual Cortex ◽

Visual System ◽

Grey Matter ◽

Superior Temporal Gyrus ◽

Clinical Impression ◽

Grey Matter Volume ◽

Voxel Based Morphometry ◽

Visual Symptoms ◽

Matter Volume ◽

The Right

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.

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Grey matter volume in early human visual cortex predicts proneness to the sound-induced flash illusion

Proceedings of The Royal Society B Biological Sciences ◽

10.1098/rspb.2012.2132 ◽

2012 ◽

Vol 279 (1749) ◽

pp. 4955-4961 ◽

Cited By ~ 24

Author(s):

Benjamin de Haas ◽

Ryota Kanai ◽

Lauri Jalkanen ◽

Geraint Rees

Keyword(s):

Visual Cortex ◽

Individual Differences ◽

Visual Perception ◽

Grey Matter ◽

Brain Regions ◽

Grey Matter Volume ◽

Matter Volume ◽

Visual Cortices ◽

Optimal Weighting ◽

Early Human

Visual perception can be modulated by sounds. A drastic example of this is the sound-induced flash illusion: when a single flash is accompanied by two bleeps, it is sometimes perceived in an illusory fashion as two consecutive flashes. However, there are strong individual differences in proneness to this illusion. Some participants experience the illusion on almost every trial, whereas others almost never do. We investigated whether such individual differences in proneness to the sound-induced flash illusion were reflected in structural differences in brain regions whose activity is modulated by the illusion. We found that individual differences in proneness to the illusion were strongly and significantly correlated with local grey matter volume in early retinotopic visual cortex. Participants with smaller early visual cortices were more prone to the illusion. We propose that strength of auditory influences on visual perception is determined by individual differences in recurrent connections, cross-modal attention and/or optimal weighting of sensory channels.

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The relationship of symptom dimensions and grey matter volume in a transdiagnostic cohort: Results from the DFG FOR2107

10.1055/s-0039-1679161 ◽

2019 ◽

Author(s):

F Stein ◽

G Lemmer ◽

S Schmitt ◽

K Brosch ◽

E Fischer ◽

...

Keyword(s):

Grey Matter ◽

Grey Matter Volume ◽

Symptom Dimensions ◽

Matter Volume ◽

Relationship Of ◽

The Relationship

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Social cognition and brain organization in chimpanzees (Pan troglodytes) and bonobos (Pan paniscus)

10.1093/oso/9780198728511.003.0014 ◽

2018 ◽

Author(s):

William D. Hopkins ◽

Cheryl D. Stimpson ◽

Chet C. Sherwood

Keyword(s):

Social Cognition ◽

Social Behaviour ◽

Grey Matter ◽

Species Differences ◽

Pan Paniscus ◽

Grey Matter Volume ◽

Evolutionary Models ◽

Brain Organization ◽

Matter Volume ◽

Cognition Sociale

Bonobos and chimpanzees are two closely relates species of the genus Pan, yet they exhibit marked differences in anatomy, behaviour and cognition. For this reason, comparative studies on social behaviour, cognition and brain organization between these two species provide important insights into evolutionary models of human origins. This chapter summarizes studies on socio-communicative competencies and social cognition in chimpanzees and bonobos from the authors’ laboratory in comparison to previous reports. Additionally, recent data on species differences and similarities in brain organization in grey matter volume and distribution is presented. Some preliminary findings on microstructural brain organization such as neuropil space and cellular distribution in key neurotransmitters and neuropeptides involved in social behaviour and cognition is presented. Though these studies are in their infancy, the findings point to potentially important differences in brain organization that may underlie bonobo and chimpanzees’ differences in social behaviour, communication and cognition. Les bonobos et les chimpanzés sont deux espèces du genus Pan prochement liées, néanmoins ils montrent des différences anatomiques, comportementales et cognitives marquées. Pour cette raison, les études comparatives sur le comportement social, la cognition et l’organisation corticale entre ces deux espèces fournissent des idées sur les modèles évolutionnaires des origines humaines. Dans ce chapitre, nous résumons des études sur les compétences socio-communicatives et la cognition sociale chez les chimpanzés et les bonobos de notre laboratoire en comparaison avec des rapports précédents. En plus, nous présentons des données récentes sur les différences et similarités d’organisation corticale du volume et distribution de la matière grise entre espèces. Nous présentons plus de résultats préliminaires sur l’organisation corticale microstructurale comme l’espace neuropile et la division cellulaire dans des neurotransmetteurs clés et les neuropeptides impliqués dans le comportement social et la cognition. Bien que ces études sont dans leur enfance, les résultats montrent des différences d’organisation corticale importantes qui sont à la base des différences de comportement social, la communication et la cognition entre les bonobos et les chimpanzés.

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Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2020-323541 ◽

2021 ◽

pp. jnnp-2020-323541

Author(s):

Jessica L Panman ◽

Vikram Venkatraghavan ◽

Emma L van der Ende ◽

Rebecca M E Steketee ◽

Lize C Jiskoot ◽

...

Keyword(s):

White Matter ◽

Frontotemporal Dementia ◽

Disease Severity ◽

Grey Matter ◽

Clinical Stage ◽

Data Driven ◽

Grey Matter Volume ◽

Matter Volume ◽

Mutation Carriers ◽

Individual Disease

ObjectiveProgranulin-related frontotemporal dementia (FTD-GRN) is a fast progressive disease. Modelling the cascade of multimodal biomarker changes aids in understanding the aetiology of this disease and enables monitoring of individual mutation carriers. In this cross-sectional study, we estimated the temporal cascade of biomarker changes for FTD-GRN, in a data-driven way.MethodsWe included 56 presymptomatic and 35 symptomatic GRN mutation carriers, and 35 healthy non-carriers. Selected biomarkers were neurofilament light chain (NfL), grey matter volume, white matter microstructure and cognitive domains. We used discriminative event-based modelling to infer the cascade of biomarker changes in FTD-GRN and estimated individual disease severity through cross-validation. We derived the biomarker cascades in non-fluent variant primary progressive aphasia (nfvPPA) and behavioural variant FTD (bvFTD) to understand the differences between these phenotypes.ResultsLanguage functioning and NfL were the earliest abnormal biomarkers in FTD-GRN. White matter tracts were affected before grey matter volume, and the left hemisphere degenerated before the right. Based on individual disease severities, presymptomatic carriers could be delineated from symptomatic carriers with a sensitivity of 100% and specificity of 96.1%. The estimated disease severity strongly correlated with functional severity in nfvPPA, but not in bvFTD. In addition, the biomarker cascade in bvFTD showed more uncertainty than nfvPPA.ConclusionDegeneration of axons and language deficits are indicated to be the earliest biomarkers in FTD-GRN, with bvFTD being more heterogeneous in disease progression than nfvPPA. Our data-driven model could help identify presymptomatic GRN mutation carriers at risk of conversion to the clinical stage.

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