Literature DB >> 11352623

Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture.

C Pierpaoli1, A Barnett, S Pajevic, R Chen, L R Penix, A Virta, P Basser.   

Abstract

This study investigates water diffusion changes in Wallerian degeneration. We measured indices derived from the diffusion tensor (DT) and T2-weighted signal intensities in the descending motor pathways of patients with small chronic lacunar infarcts of the posterior limb of the internal capsule on one side. We compared these measurements in the healthy and lesioned sides at different levels in the brainstem caudal to the primary lesion. We found that secondary white matter degeneration is revealed by a large reduction in diffusion anisotropy only in regions where fibers are arranged in isolated bundles of parallel fibers, such as in the cerebral peduncle. In regions where the degenerated pathway crosses other tracts, such as in the rostral pons, paradoxically there is almost no change in diffusion anisotropy, but a significant change in the measured orientation of fibers. The trace of the diffusion tensor is moderately increased in all affected regions. This allows one to differentiate secondary and primary fiber loss where the increase in trace is considerably higher. We show that DT-MRI is more sensitive than T2-weighted MRI in detecting Wallerian degeneration. Significant diffusion abnormalities are observed over the entire trajectory of the affected pathway in each patient. This finding suggests that mapping degenerated pathways noninvasively with DT-MRI is feasible. However, the interpretation of water diffusion data is complex and requires a priori information about anatomy and architecture of the pathway under investigation. In particular, our study shows that in regions where fibers cross, existing DT-MRI-based fiber tractography algorithms may lead to erroneous conclusion about brain connectivity.

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Year:  2001        PMID: 11352623     DOI: 10.1006/nimg.2001.0765

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  321 in total

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Journal:  Harv Rev Psychiatry       Date:  2002 Nov-Dec       Impact factor: 3.732

Review 2.  Diffusion tensor imaging: a review for pediatric researchers and clinicians.

Authors:  Heidi M Feldman; Jason D Yeatman; Eliana S Lee; Laura H F Barde; Shayna Gaman-Bean
Journal:  J Dev Behav Pediatr       Date:  2010-05       Impact factor: 2.225

3.  Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited.

Authors:  Cibu Thomas; Frank Q Ye; M Okan Irfanoglu; Pooja Modi; Kadharbatcha S Saleem; David A Leopold; Carlo Pierpaoli
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

4.  Multi-contrast human neonatal brain atlas: application to normal neonate development analysis.

Authors:  Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang
Journal:  Neuroimage       Date:  2011-01-26       Impact factor: 6.556

5.  White matter integrity, language, and childhood onset schizophrenia.

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6.  Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer's disease.

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Journal:  Alzheimers Dement       Date:  2012       Impact factor: 21.566

7.  Deviations from the diffusion tensor model as revealed by contour plot visualization using high angular resolution diffusion-weighted imaging (HARDI).

Authors:  Jochen G Hirsch; Stefanie M Schwenk; Christina Rossmanith; Michael G Hennerici; Achim Gass
Journal:  MAGMA       Date:  2003-06-12       Impact factor: 2.310

8.  Magnetic resonance imaging protocols for examination of the neurocranium at 3 T.

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Journal:  Eur Radiol       Date:  2003-07-05       Impact factor: 5.315

Review 9.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

10.  Predicting future brain tissue loss from white matter connectivity disruption in ischemic stroke.

Authors:  Amy Kuceyeski; Hooman Kamel; Babak B Navi; Ashish Raj; Costantino Iadecola
Journal:  Stroke       Date:  2014-02-12       Impact factor: 7.914

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