Disconnection due to white matter hyperintensities is associated with lower cognitive scores

Langen, Carolyn D.; Cremers, Lotte G.M.; Groot, Marius de; White, Tonya; Ikram, M. Arfan; Niessen, Wiro J.; Vernooij, Meike W.

doi:10.1016/j.neuroimage.2018.08.037

Cited by 47 publications

(41 citation statements)

References 45 publications

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“…The areas where brain activities are associated with TMT‐A completion time were directly connected by the forceps major. These findings not only highlight the importance of occipital brain structures and functions for psychomotor processing speeds, but provide strong support for the WMH‐Tract‐Function‐Behavior link (Fjell et al ; Langen et al, ; Madden et al, ; Seiler et al, ). Notably, although assessed only psychomotor processing speeds, this theory can be generalized to other brain functional decline during aging.…”

Section: Discussionsupporting

confidence: 58%

“…Based on these findings, it has been proposed that slower processing speeds caused by WMH are a result of “disconnection,” arguing that disrupted fiber integrity slows information flow among different brain regions, leading to brain activity alterations. Indeed, brain functional changes contribute to processing speed decline (Fjell et al, ; Jacobs et al, ; Langen et al, ; Madden et al, ; O'Sullivan et al, ; Seiler et al, ; Shenkin et al, ; Tuladhar et al, ). Whether this is caused by fiber disruption or gray matter damage remains undefined.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi‐modality MR imaging study

Wang

Jiaerken

et al. 2019

Human Brain Mapping

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Cognitive processing speed is crucial for human cognition and declines with aging.White matter hyperintensity (WMH), a common sign of WM vascular damage in the elderly, is closely related to slower psychomotor processing speed. In this study, we investigated the association between WMH and psychomotor speed changes through a comprehensive assessment of brain structural and functional features.Multi-modal MRIs were acquired from 60 elderly adults. Psychomotor processing speeds were assessed using the Trail Making Test Part A (TMT-A). Linear regression analyses were performed to assess the associations between TMT-A and brain features, including WMH volumes in five cerebral regions, diffusivity parameters in the major WM tracts, regional gray matter volume, and brain activities across the whole brain. Hierarchical regression analysis was used to demonstrate the contribution of each index to slower psychomotor processing speed. Linear regression analysis demonstrated that WMH volume in the occipital lobe and fractional anisotropy of the forceps major, an occipital association tract, were associated with TMT-A. Besides, resting-state brain activities in the visual cortex connected to the forceps major were associated with TMT-A. Hierarchical regression showed fractional anisotropy of the forceps major and regional brain activities were significant predictors of TMT-A. The occurrence of WMH, combined with the disruption of passing-through fiber integrity and altered functional activities in areas connected by this fiber, are associated with a decline of psychomotor processing speed. While the causal relationship of this

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Section: Discussionsupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi‐modality MR imaging study

Wang

Jiaerken

et al. 2019

Human Brain Mapping

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“…Recent studies have raised the concern that stroke lesions invading white matter can distort the quality of diffusion data, reducing the accuracy of whole-brain tractography Disconnection in the Tool Use Network Following Stroke 7 quantification (de Groot et al, 2013;Langen et al, 2018;Theaud et al, 2017). One proposal to overcome this limitation is to compute a participant-specific (dis)connectome on the basis of inferred structural disconnection given a participant's lesion location in relation to structural connectivity in a normative dataset.…”

Section: Introductionmentioning

confidence: 99%

Structural Disconnection of the Tool Use Network After Left Hemisphere Stroke Predicts Limb Apraxia Severity

Garcea

Greene

Grafton

et al. 2020

Preprint

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Producing a tool use gesture is a complex process drawing upon the integration of stored knowledge of tools and their associated actions with sensory-motor mechanisms supporting the planning and control of hand and arm actions. Understanding how sensory-motor systems in parietal cortex interface with semantic representations of actions and objects in the temporal lobe remains a critical issue, and is hypothesized to be a key determinant of the severity of limb apraxia, a deficit in producing skilled action after left hemisphere stroke. We used voxel-based and connectome-based lesion symptom mapping with data from 57 left hemisphere stroke participants to assess the lesion sites and structural disconnection patterns associated with poor tool use gesturing. We found that structural disconnection between the left inferior parietal lobule, lateral temporal lobe (left middle temporal gyrus) and ventral temporal cortex (left medial fusiform gyrus) predicted the severity of tool use gesturing performance. Control analyses demonstrated that reductions in right-hand grip strength were associated with motor system disconnection, bypassing regions supporting tool use gesturing. Our findings provide causal evidence that limb apraxia may arise, in part, from disconnection of conceptual representations in the temporal lobe from mechanisms enabling skilled action production in the inferior parietal lobule.

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“…Cerebrovascular disease is common in older adults, associated with poor health outcomes (Debette and Markus, 2010), and characterized by neurobiological abnormalities such as white matter hyperintensities (WMH) (Moroni et al, 2018). WMH are associated with cognitive decline in older adults; a potential mechanism is the WMH lesions' impact on structural connectivity (Langen et al, 2018). WMH affect the strength and efficiency of white matter connections, i.e.…”

Section: Introductionmentioning

confidence: 99%

Estimated regional white matter hyperintensity burden, resting state functional connectivity, and cognitive functions in older adults

Jaywant

Dunlop

Victoria

et al. 2020

Preprint

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White matter hyperintensities (WMH) are linked to cognitive control; however, the structural and functional mechanisms are largely unknown. We investigated the relationship between WMH-associated disruptions of structural connectivity, resting state functional connectivity (RSFC), and cognitive control in older adults. Fifty-eight cognitively-healthy older adults completed cognitive control tasks, structural MRI, and resting state fMRI scans. We estimated inferred, WMH-related disruptions in structural connectivity between pairs of subcortical and cortical regions by overlaying each participant's WMH mask on a normative tractogram dataset.For region-pairs in which structural disconnection was associated with cognitive control, we calculated RSFC between nodes in those same regions. WMH-related structural disconnection and RSFC in the cognitive control network and default mode network were both associated with poorer cognitive inhibition. These regionally-specific, WMH-related structural and functional changes were more strongly associated with cognitive inhibition compared to standard rating of WMH burden. Our findings highlight the role of circuit-level disruptions to the cognitive control network and default mode network that are related to WMH and impact cognitive control in aging.

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Disconnection due to white matter hyperintensities is associated with lower cognitive scores

Cited by 47 publications

References 45 publications

Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi‐modality MR imaging study

Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi‐modality MR imaging study

Structural Disconnection of the Tool Use Network After Left Hemisphere Stroke Predicts Limb Apraxia Severity

Estimated regional white matter hyperintensity burden, resting state functional connectivity, and cognitive functions in older adults

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