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@ARTICLE{Raposo:157779,
      author       = {Raposo, N. and Zanon Zotin, M. C. and Schoemaker, D. and
                      Xiong, L. and Fotiadis, P. and Charidimou, A. and Pasi, M.
                      and Boulouis, G. and Schwab, K. and Schirmer, Markus Dieter
                      and Etherton, Mark R. and Gurol, M. E. and Greenberg, S. M.
                      and Duering, M. and Viswanathan, Vivekanandhan},
      title        = {{P}eak {W}idth of {S}keletonized {M}ean {D}iffusivity as
                      {N}euroimaging {B}iomarker in {C}erebral {A}myloid
                      {A}ngiopathy.},
      journal      = {American journal of neuroradiology},
      volume       = {42},
      number       = {5},
      issn         = {1936-959X},
      address      = {Oak Brook, Ill.},
      publisher    = {Soc.},
      reportid     = {DZNE-2021-01236},
      pages        = {875 - 881},
      year         = {2021},
      abstract     = {Whole-brain network connectivity has been shown to be a
                      useful biomarker of cerebral amyloid angiopathy and related
                      cognitive impairment. We evaluated an automated DTI-based
                      method, peak width of skeletonized mean diffusivity, in
                      cerebral amyloid angiopathy, together with its association
                      with conventional MRI markers and cognitive functions.We
                      included 24 subjects (mean age, 74.7 [SD, 6.0] years) with
                      probable cerebral amyloid angiopathy and mild cognitive
                      impairment and 62 patients with MCI not attributable to
                      cerebral amyloid angiopathy (non-cerebral amyloid
                      angiopathy-mild cognitive impairment). We compared peak
                      width of skeletonized mean diffusivity between subjects with
                      cerebral amyloid angiopathy-mild cognitive impairment and
                      non-cerebral amyloid angiopathy-mild cognitive impairment
                      and explored its associations with cognitive functions and
                      conventional markers of cerebral small-vessel disease, using
                      linear regression models.Subjects with Cerebral amyloid
                      angiopathy-mild cognitive impairment showed increased peak
                      width of skeletonized mean diffusivity in comparison to
                      those with non-cerebral amyloid angiopathy-mild cognitive
                      impairment (P < .001). Peak width of skeletonized mean
                      diffusivity values were correlated with the volume of white
                      matter hyperintensities in both groups. Higher peak width of
                      skeletonized mean diffusivity was associated with worse
                      performance in processing speed among patients with cerebral
                      amyloid angiopathy, after adjusting for other MRI markers of
                      cerebral small vessel disease. The peak width of
                      skeletonized mean diffusivity did not correlate with
                      cognitive functions among those with non-cerebral amyloid
                      angiopathy-mild cognitive impairment.Peak width of
                      skeletonized mean diffusivity is altered in cerebral amyloid
                      angiopathy and is associated with performance in processing
                      speed. This DTI-based method may reflect the degree of white
                      matter structural disruption in cerebral amyloid angiopathy
                      and could be a useful biomarker for cognition in this
                      population.},
      keywords     = {Aged / Aged, 80 and over / Biomarkers / Cerebral Amyloid
                      Angiopathy: diagnostic imaging / Cerebral Amyloid
                      Angiopathy: psychology / Cerebral Small Vessel Diseases:
                      diagnostic imaging / Cognition / Cognitive Dysfunction:
                      diagnostic imaging / Cognitive Dysfunction: psychology /
                      Diffusion Magnetic Resonance Imaging / Diffusion Tensor
                      Imaging: methods / Female / Humans / Image Processing,
                      Computer-Assisted: methods / Male / Neuroimaging /
                      Psychomotor Performance / Reaction Time / Biomarkers (NLM
                      Chemicals)},
      cin          = {AG Breteler 1},
      ddc          = {610},
      cid          = {I:(DE-2719)1012001},
      pnm          = {354 - Disease Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-354},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33664113},
      pmc          = {pmc:PMC8115367},
      doi          = {10.3174/ajnr.A7042},
      url          = {https://pub.dzne.de/record/157779},
}