Clinical effect of white matter network disruption related to amyloid and small vessel disease

Hee Jin Kim, Kiho Im, Hunki Kwon, Jong Min Lee, Changsoo Kim, Yeo Jin Kim, Na Yeon Jung, Hanna Cho, Byoung Seok Ye, Young Noh, Geon Ha Kim, En Da Ko, Jae Seung Kim, Yearn Seong Choe, Kyung Han Lee, Sung Tae Kim, Jae Hong Lee, Michael Ewers, Michael W. Weiner, Duk L. NaSang Won Seo

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

Background: We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. Methods: We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. Results: SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. Conclusions: We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.

Original languageEnglish
Pages (from-to)63-70
Number of pages8
JournalNeurology
Volume85
Issue number1
DOIs
Publication statusPublished - 2015 Jul 7

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Amyloid
Atrophy
Efficiency
Occipital Lobe
Parietal Lobe
Diffusion Tensor Imaging
Neuropsychological Tests
White Matter
Cognition
Cognitive Dysfunction
Brain

All Science Journal Classification (ASJC) codes

  • Clinical Neurology

Cite this

Kim, Hee Jin ; Im, Kiho ; Kwon, Hunki ; Lee, Jong Min ; Kim, Changsoo ; Kim, Yeo Jin ; Jung, Na Yeon ; Cho, Hanna ; Ye, Byoung Seok ; Noh, Young ; Kim, Geon Ha ; Ko, En Da ; Kim, Jae Seung ; Choe, Yearn Seong ; Lee, Kyung Han ; Kim, Sung Tae ; Lee, Jae Hong ; Ewers, Michael ; Weiner, Michael W. ; Na, Duk L. ; Seo, Sang Won. / Clinical effect of white matter network disruption related to amyloid and small vessel disease. In: Neurology. 2015 ; Vol. 85, No. 1. pp. 63-70.
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abstract = "Background: We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. Methods: We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. Results: SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. Conclusions: We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.",
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Kim, HJ, Im, K, Kwon, H, Lee, JM, Kim, C, Kim, YJ, Jung, NY, Cho, H, Ye, BS, Noh, Y, Kim, GH, Ko, ED, Kim, JS, Choe, YS, Lee, KH, Kim, ST, Lee, JH, Ewers, M, Weiner, MW, Na, DL & Seo, SW 2015, 'Clinical effect of white matter network disruption related to amyloid and small vessel disease', Neurology, vol. 85, no. 1, pp. 63-70. https://doi.org/10.1212/WNL.0000000000001705

Clinical effect of white matter network disruption related to amyloid and small vessel disease. / Kim, Hee Jin; Im, Kiho; Kwon, Hunki; Lee, Jong Min; Kim, Changsoo; Kim, Yeo Jin; Jung, Na Yeon; Cho, Hanna; Ye, Byoung Seok; Noh, Young; Kim, Geon Ha; Ko, En Da; Kim, Jae Seung; Choe, Yearn Seong; Lee, Kyung Han; Kim, Sung Tae; Lee, Jae Hong; Ewers, Michael; Weiner, Michael W.; Na, Duk L.; Seo, Sang Won.

In: Neurology, Vol. 85, No. 1, 07.07.2015, p. 63-70.

Research output: Contribution to journalArticle

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T1 - Clinical effect of white matter network disruption related to amyloid and small vessel disease

AU - Kim, Hee Jin

AU - Im, Kiho

AU - Kwon, Hunki

AU - Lee, Jong Min

AU - Kim, Changsoo

AU - Kim, Yeo Jin

AU - Jung, Na Yeon

AU - Cho, Hanna

AU - Ye, Byoung Seok

AU - Noh, Young

AU - Kim, Geon Ha

AU - Ko, En Da

AU - Kim, Jae Seung

AU - Choe, Yearn Seong

AU - Lee, Kyung Han

AU - Kim, Sung Tae

AU - Lee, Jae Hong

AU - Ewers, Michael

AU - Weiner, Michael W.

AU - Na, Duk L.

AU - Seo, Sang Won

PY - 2015/7/7

Y1 - 2015/7/7

N2 - Background: We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. Methods: We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. Results: SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. Conclusions: We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.

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