Corpus callosal diffusivity predicts motor impairment in relapsing–remitting multiple sclerosis: A TBSS and tractography study

Kern, Kyle C.; Sarcona, Joseph; Montag, Michael; Giesser, Barbara; Sicotte, Nancy L.

doi:10.1016/j.neuroimage.2010.10.077

Cited by 68 publications

(54 citation statements)

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“…An association between worse cognitive performance and lower FA in the corpus callosum, posterior thalamic radiation and posterior cingulum has also been reported 18,20,21,23,24,30,31 . Given that the sensitivity of DTI varies by brain region depending on the direction and density of nerve fibres 33 , meta-analysis of DTI data could potentially increase statistical power enough to identify important regions of interest which would otherwise go unnoticed, for example those in smaller tracts.…”

Section: Introductionmentioning

confidence: 85%

“…Since its description in 2006, tract-based spatial statistics (TBSS) 15 , has been applied to multisubject spatial analysis of DTI data examining neurological and cognitive correlates of WM degradation in MS [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] . These studies broadly support the suggestion that disconnection of cortical or subcortical grey matter by diffuse and focal damage of interconnecting white matter may be an important factor contributing to physical disability and cognitive dysfunction in MS 18 .…”

Section: Introductionmentioning

confidence: 99%

“…From published studies, some common findings are apparent; for example, reduced FA and increased mean diffusivity (MD) associated with greater physical disability has been reported in the corpus callosum and pyramidal tracts 15,19,21,22,31 . An association between worse cognitive performance and lower FA in the corpus callosum, posterior thalamic radiation and posterior cingulum has also been reported 18,20,21,23,24,30,31 .…”

Section: Introductionmentioning

confidence: 99%

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Functionally Relevant White Matter Degradation in Multiple Sclerosis: A Tract-based Spatial Meta-Analysis

Welton¹,

Kent²,

Constantinescu³

et al. 2015

Radiology

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(2015) Functionally relevant white matter degradation in multiple sclerosis: a tract-based spatial meta-analysis. Radiology, 275 (1). pp. 89-96. ISSN 152789-96. ISSN -1315 Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/38908/1/14-0925-clean.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the University of Nottingham End User licence and may be reused according to the conditions of the licence. For more details see: http://eprints.nottingham.ac.uk/end_user_agreement.pdf A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk Advances in Knowledge:1. There are differential and only minimally-overlapping distributions of lower fractional anisotropy relating to clinical disability and cognitive impairment.Low anterior callosal and thalamic fractional anisotropy has specific importance to cognitive status, whereas low posterior callosal and deep parietal fractional anisotropy has specific importance to physical disability (uncorrected p<0.005, z>1, cluster extent≥10 voxels).2. Cerebral white matter degradation may be more relevant to cognitive than physical disability: 2.3 times as many voxels had a significantly lower fractional anisotropy in relation to cognition (753 voxels) than to physical disability (323 voxels) and the z-scores for those clusters were higher for cognition than for physical disability (2.532 and 1.701, respectively). Implications for Patient Care:1. Widespread white matter damage measured by diffusion tensor imaging occurs in multiple sclerosis; our meta-analysis reveals differential and only minimally-overlapping distributions of white matter damage relating to both cognitive and physical disability.Summary Statement: Our voxelwise meta-analysis of studies relating tract fractional anisotropy to cognitive and physical disability in multiple sclerosis reveals minimally-overlapping distributions and a possible greater relevance to cognition than to physical disability. Abstract PurposeTo identify statistical consensus between published studies for distribution and functional relevance of tract white matter degradation in multiple sclerosis (MS). Materials and MethodsBy systematically searching online databases, we identified tract-based spatial statistics (TBSS) studies which (1) compare fractional anisotropy (FA; a marker for white matter integrity) in MS patients to healthy controls, (2) correlate FA in MS patients with physical disability, or (3) correlate FA in MS patients with cognitive performance. We performed voxelwise meta-analyses using the Signed Differentia...

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Section: Introductionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Functionally Relevant White Matter Degradation in Multiple Sclerosis: A Tract-based Spatial Meta-Analysis

Welton¹,

Kent²,

Constantinescu³

et al. 2015

Radiology

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“…These studies have reported the sensitive detection of tissue damage associated with cervical cord relapse [48] and damage to the corticospinal tract [49]–[51] and the transcallosal hand motor fibers [49], suggesting axonal degeneration and myelin breakdown in probabilistic white matter tracts, these measures correlate with disability [50], [51]. In our study, probabilistic tractography analysis showed decreases in SC strength and structural damage derived from standard DTI parameters (decreased FA and increases in three diffusivity measurements) in the tracts connecting the DMN subregions.…”

Section: Discussionmentioning

confidence: 99%

Altered Inter-Subregion Connectivity of the Default Mode Network in Relapsing Remitting Multiple Sclerosis: A Functional and Structural Connectivity Study

et al. 2014

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Background and PurposeLittle is known about the interactions between the default mode network (DMN) subregions in relapsing-remitting multiple sclerosis (RRMS). This study used diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI) to examine alterations of long white matter tracts in paired DMN subregions and their functional connectivity in RRMS patients.MethodsTwenty-four RRMS patients and 24 healthy subjects participated in this study. The fiber connections derived from DTI tractography and the temporal correlation coefficient derived from rs-fMRI were combined to examine the inter-subregion structural-functional connectivity (SC-FC) within the DMN and its correlations with clinical markers.ResultsCompared with healthy subjects, the RRMS patients showed the following: 1) significantly decreased SC and increased FC in the pair-wise subregions; 2) two significant correlations in SC-FC coupling patterns, including the positive correlation between slightly increased FC value and long white matter tract damage in the PCC/PCUN-MPFC connection, and the negative correlations between significantly increased FC values and long white matter tract damage in the PCC/PCUN-bilateral mTL connections; 3) SC alterations [log(N track) of the PCC/PCUN-left IPL, RD value of the MPFC-left IPL, FA value of the PCC/PCUN-left mTL connections] correlated with EDSS, increases in the RD value of MPFC-left IPL connection was positively correlated to the MFIS; and decreases in the FA value of PCC/PCUN-right IPL connection was negatively correlated with the PASAT; 4) decreased SC (FA value of the MPFC-left IPL, track volume of the PCC/PCUN-MPFC, and log(N track) of PCC/PCUN-left mTL connections) was positively correlated with brain atrophy.ConclusionsIn the connections of paired DMN subregions, we observed decreased SC and increased FC in RRMS patients. The relationship between MS-related structural abnormalities and clinical markers suggests that the disruption of this long-distance “inter-subregion” connectivity (white matter) may significantly impact the integrity of the network's function.

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“…Tract-based spatial statistics (TBSS) was developed for voxelwise analysis of DTI data and comparison in multi-subject studies [14,15]. The software allows assessing streamlines in brain structures from the diffusion tensor data.…”

Section: Introductionmentioning

confidence: 99%

Tract-based spatial statistics of the olfactory brain in patients with multiple sclerosis

Erb-Eigner

Böhner

Goektas

et al. 2014

Journal of the Neurological Sciences

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Corpus callosal diffusivity predicts motor impairment in relapsing–remitting multiple sclerosis: A TBSS and tractography study

Cited by 68 publications

References 53 publications

Functionally Relevant White Matter Degradation in Multiple Sclerosis: A Tract-based Spatial Meta-Analysis

Functionally Relevant White Matter Degradation in Multiple Sclerosis: A Tract-based Spatial Meta-Analysis

Altered Inter-Subregion Connectivity of the Default Mode Network in Relapsing Remitting Multiple Sclerosis: A Functional and Structural Connectivity Study

Tract-based spatial statistics of the olfactory brain in patients with multiple sclerosis

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