Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis

Chiang, Florence L.; Wang, Q.; Yu, Fang; Romero, Rebecca; Huang, Susie Y.; Fox, P. Mickle; Tantiwongkosi, Bundhit; Fox, Peter T.

doi:10.1016/j.crad.2019.07.005

Cited by 14 publications

(8 citation statements)

References 61 publications

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“…The network denegation hypothesis (NDH) posits that disease-related structural alteration selectively occurs—and may even spread—within these system-level functional networks 13 . Just like neuronal activity, gray matter structural alteration (atrophy or hypertrophy) has shown to follow network-based principles 14 : structural alteration in one brain area is influenced by alteration in other brain areas 15 , 16 . This concept is hereon referred to as co-alteration structural connectivity (CA-SC).…”

Section: Introductionmentioning

confidence: 99%

Brain pathology recapitulates physiology: A network meta-analysis

Vanasse

Fox

et al. 2021

Commun Biol

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Network architecture is a brain-organizational motif present across spatial scales from cell assemblies to distributed systems. Structural pathology in some neurodegenerative disorders selectively afflicts a subset of functional networks, motivating the network degeneration hypothesis (NDH). Recent evidence suggests that structural pathology recapitulating physiology may be a general property of neuropsychiatric disorders. To test this possibility, we compared functional and structural network meta-analyses drawing upon the BrainMap database. The functional meta-analysis included results from >7,000 experiments of subjects performing >100 task paradigms; the structural meta-analysis included >2,000 experiments of patients with >40 brain disorders. Structure-function network concordance was high: 68% of networks matched (pFWE < 0.01), confirming the broader scope of NDH. This correspondence persisted across higher model orders. A positive linear association between disease and behavioral entropy (p = 0.0006;R2 = 0.53) suggests nodal stress as a common mechanism. Corroborating this interpretation with independent data, we show that metabolic ‘cost’ significantly differs along this transdiagnostic/multimodal gradient.

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Section: Introductionmentioning

confidence: 99%

Brain pathology recapitulates physiology: A network meta-analysis

Vanasse

Fox

et al. 2021

Commun Biol

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“…That the same pattern of morphosyntactic impairment emerges in different pathologies characterized by lesions or atrophy in different brain regions is not surprising either, as WM (which is closely related to the cognitive construct of processing resources) is subserved by a broadly distributed neuronal network, involving both anterior and posterior portions of the brain, including Broca’s area (which is usually affected in agrammatic aphasia), the basal ganglia (often affected in MS; Chiang et al, 2019 ), and the medial temporal lobe (which is where the atrophy starts in AD) (e.g., Gabeza et al, 2002 ; McNab and Klingberg, 2008 ).…”

Section: Discussionmentioning

confidence: 99%

“…Lastly, we plan to investigate the neural substrate of impaired verb-related morphosyntactic production in MS by obtaining neuroimaging data and exploring the associations between affected brain areas/neuronal networks and performance on tasks tapping into verb-related morphosyntactic production. If the neuroimaging data show atrophy in the basal ganglia of our MS participants (which would be consistent with Chiang et al’s., 2019 , findings), such a study will enable us to test Ullman’s (2001 , 2004 ) claim that rule-based morphological processes such as affixation involved in the production of regular past-tensed verbs (e.g., walk–walk ed ) is supported by a “procedural” system (procedural memory), which is localized in the basal ganglia, regions of the frontal and parietal lobes, and the dentate nucleus of the cerebellum.…”

Section: Discussionmentioning

confidence: 99%

Impaired Verb-Related Morphosyntactic Production in Multiple Sclerosis: Evidence From Greek

et al. 2020

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Background: A recent systematic review found that language deficits are not very common in individuals with multiple sclerosis (MS). However, there are significant gaps in our knowledge about language abilities in MS. For instance, morphosyntactic production has not been explored adequately thus far. This study investigated verbrelated morphosyntactic production in MS focusing on Greek, a morphologically rich language. Methods: A sentence completion task tapping into the production of subjectverb agreement, time reference/tense, and grammatical aspect was administered to 39 Greek-speaking individuals with MS [25 individuals with relapsing-remitting MS (RRMS group) and 14 individuals with secondary progressive MS (SPMS group)]. The task included only regular verbs. Generalized linear mixed-effects models were used to investigate the ability of individuals with MS to produce the above-mentioned morphosyntactic categories. Results: Overall, the RRMS and SPMS groups performed significantly worse than their matched control groups. Moreover, all four groups performed significantly worse on grammatical aspect than on subject-verb agreement and time reference. The difference between subject-verb agreement and time reference was not significant in any of the four groups. The overall performances of the RRMS and SPMS groups did not differ significantly.

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“…Across the disease span, if left untreated, the white matter atrophy rate remains rather stable at 3-fold normal, but GM atrophy rate dramatically increases from 3.4fold normal in CIS to 14-fold normal in SPMS (17). This localized GM atrophy has recently been found to be regionally selective, mainly involving deep structures, such as the thalamus, putamen, and caudate, and cortical regions, such as the sensorimotor cortex, insula, superior temporal, and cingulate gyrus, while these regions were functionally connected (34). In a 5-years followup study, it was shown that structural damage and especially cortical atrophy may predict cognitive decline in PwMS (35).…”

Section: Regional Tissue Damage and Atrophymentioning

confidence: 97%