Multiple white matter tract abnormalities underlie cognitive impairment in RRMS

Diffusion tensor imaging (DTI) is a sensitive tool for detecting microstructural tissue damage in vivo. In this study, we investigated DTI abnormalities in individuals with relapsing remitting multiple sclerosis (RRMS) and examined the relations between imaging-based measures of white matter injury and cognitive impairment. DTI-derived metrics using tract-based spatial statistics (TBSS) were compared between 37 individuals with RRMS and 20 healthy controls. Cognitive impairment was assessed with three standard tests: the Symbol Digit Modalities Test (SDMT), which measures cognitive processing speed and visual working memory, the Rey Auditory Verbal Learning Test (RAVLT), which examines verbal memory, and the Paced Auditory Serial Addition Test (PASAT), which assesses sustained attention and working memory. Correlations between DTI-metrics and cognition were explored in regions demonstrating significant differences between the RRMS patients and the control group. Lower fractional anisotropy (FA) was found in RRMS participants compared to controls across the tract skeleton (0.40 ± 0.03 vs. 0.43 ± 0.01, p<0.01). In areas of reduced FA, mean diffusivity was increased and was dominated by increased radial diffusivity with no significant change in axial diffusivity, an indication of the role of damage to CNS myelin in MS pathology. In the RRMS group, voxelwise correlations were found between FA reduction and cognitive impairment in cognitively-relevant tracts, predominantly in the posterior thalamic radiation, the sagittal stratum, and the corpus callosum; the strongest correlations were with SDMT measures, with contributions to these associations from both lesion and normal-appearing white matter. Moreover, results using threshold-free cluster enhancement (TFCE) showed more widespread white matter involvement compared to cluster-based thresholding. These findings indicate the important role for DTI in delineating mechanisms underlying MS-associated cognitive impairment and suggest that DTI could play a critical role in monitoring the clinical and cognitive effects of the disease.

[1]  M. Bonnet,et al.  How to detect cognitive dysfunction at early stages of multiple sclerosis? , 2006, Multiple sclerosis.

[2]  G Luccichenti,et al.  Cognitive impairment and its relation with disease measures in mildly disabled patients with relapsing–remitting multiple sclerosis: baseline results from the Cognitive Impairment in Multiple Sclerosis (COGIMUS) study , 2009, Multiple sclerosis.

[3]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[4]  M. Rovaris,et al.  Diffusion Tensor MRI in Multiple Sclerosis , 2007, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[5]  J. DeLuca,et al.  Cognitive impairment in multiple sclerosis , 2008, The Lancet Neurology.

[6]  Uwe K. Zettl,et al.  Cognitive impairment in multiple sclerosis , 2007, Journal of Neurology.

[7]  R. Benedict,et al.  Psychometrics and normative data for the Multiple Sclerosis Functional Composite: replacing the PASAT with the Symbol Digit Modalities Test , 2010, Multiple sclerosis.

[8]  Thomas L Chenevert,et al.  Clinical applications of diffusion tensor imaging , 2004, Journal of magnetic resonance imaging : JMRI.

[9]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[10]  G J Barker,et al.  The pathogenesis of lesions and normal-appearing white matter changes in multiple sclerosis: a serial diffusion MRI study. , 2000, Brain : a journal of neurology.

[11]  P. Morgan,et al.  Use of combined conventional and quantitative MRI to quantify pathology related to cognitive impairment in multiple sclerosis , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.

[12]  Sheng-Kwei Song,et al.  Axial Diffusivity Is the Primary Correlate of Axonal Injury in the Experimental Autoimmune Encephalomyelitis Spinal Cord: A Quantitative Pixelwise Analysis , 2009, The Journal of Neuroscience.

[13]  A. J. Thompson,et al.  Magnetic resonance studies of abnormalities in the normal appearing white matter and grey matter in multiple sclerosis , 2003, Journal of Neurology.

[14]  Tal Sigal,et al.  Diffusion Tensor Imaging of Corpus Callosum Integrity in Multiple Sclerosis: Correlation with Disease Variables , 2012, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[15]  R. Henry,et al.  Diffusion Tensor MR Imaging and Fiber Tractography: Technical Considerations , 2008, American Journal of Neuroradiology.

[16]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[17]  V. Dousset,et al.  Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study , 2008, Multiple sclerosis.

[18]  Frederik Barkhof,et al.  Regional DTI differences in multiple sclerosis patients , 2009, NeuroImage.

[19]  R H Edwards,et al.  Magnetic resonance relaxation time mapping in multiple sclerosis: normal appearing white matter and the "invisible" lesion load. , 1994, Magnetic resonance imaging.

[20]  Meng Law,et al.  Applications of Diffusion Tensor MR Imaging in Multiple Sclerosis , 2005, Annals of the New York Academy of Sciences.

[21]  M. Rovaris,et al.  Cognitive dysfunction in patients with mildly disabling relapsing–remitting multiple sclerosis: an exploratory study with diffusion tensor MR imaging , 2002, Journal of the Neurological Sciences.

[22]  Mara Cercignani,et al.  Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: An in vivo study with TBSS and VBM , 2009, Human brain mapping.

[23]  M. Kubicki,et al.  Neuropsychological correlates of diffusion tensor imaging in schizophrenia. , 2004, Neuropsychology.

[24]  G Cutter,et al.  The Multiple Sclerosis Functional Composite: a new clinical outcome measure for multiple sclerosis trials , 2002, Multiple sclerosis.

[25]  Marco Rovaris,et al.  Corpus callosum damage and cognitive dysfunction in benign MS , 2009, Human brain mapping.

[26]  P. Calabresi,et al.  MRI of the corpus callosum in multiple sclerosis: association with disability , 2010, Multiple sclerosis.

[27]  D. Ramasamy,et al.  Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.

[28]  Christopher Christodoulou,et al.  Normative Data for the Selective Reminding Test: A Random Digit Dialing Sample , 2004, Psychological reports.

[29]  L R Muenz,et al.  Multicenter randomized clinical trial of donepezil for memory impairment in multiple sclerosis , 2011, Neurology.

[30]  Jun Yoshino,et al.  Demyelination increases radial diffusivity in corpus callosum of mouse brain , 2005, NeuroImage.

[31]  J. Kurtzke Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[32]  Marco Rovaris,et al.  Cognitive impairment and structural brain damage in benign multiple sclerosis , 2008, Neurology.

[33]  James M Provenzale,et al.  Multiple sclerosis: diffusion tensor MR imaging for evaluation of normal-appearing white matter. , 2002, Radiology.

[34]  O. Spreen,et al.  A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary , 1991 .

[35]  Hans Lassmann,et al.  Cortical demyelination and diffuse white matter injury in multiple sclerosis. , 2005, Brain : a journal of neurology.

[36]  M Filippi,et al.  A Magnetization Transfer Imaging Study of Normal-Appearing White Matter in Multiple Sclerosis , 1995, Neurology.

[37]  Marco Bozzali,et al.  Clinically isolated syndrome suggestive of multiple sclerosis: voxelwise regional investigation of white and gray matter. , 2010, Radiology.

[38]  P Kapeller,et al.  Brain metabolite changes in cortical grey and normal-appearing white matter in clinically early relapsing-remitting multiple sclerosis. , 2002, Brain : a journal of neurology.

[39]  Eric Achten,et al.  Transverse diffusivity of cerebral parenchyma predicts visual tracking performance in relapsing–remitting multiple sclerosis , 2009, Brain and Cognition.

[40]  B. Trapp,et al.  Axonal and neuronal degeneration in multiple sclerosis: mechanisms and functional consequences , 2001, Current opinion in neurology.

[41]  Bernd Tomandl,et al.  The association between California Verbal Learning Test performance and fibre impairment in multiple sclerosis: evidence from diffusion tensor imaging , 2010, Multiple sclerosis.

[42]  Jan Sijbers,et al.  On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods , 2009, NeuroImage.

[43]  Hsiao-Fang Liang,et al.  Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords , 2011, NeuroImage.

[44]  M Cercignani,et al.  Diffusion tensor magnetic resonance imaging in multiple sclerosis , 2001, Neurology.

[45]  D. Auer,et al.  Disconnection as a mechanism for cognitive dysfunction in multiple sclerosis. , 2009, Brain : a journal of neurology.

[46]  Robert Zivadinov,et al.  Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis , 2007, Multiple sclerosis.

[47]  I. V. Allen,et al.  Pathological abnormalities in the normal-appearing white matter in multiple sclerosis , 2001, Neurological Sciences.

[48]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[49]  C. Pozzilli,et al.  Effect of corpus callosum damage on ipsilateral motor activation in patients with multiple sclerosis: A functional and anatomical study , 2007, Human brain mapping.

[50]  Michael Montag,et al.  Corpus callosal diffusivity predicts motor impairment in relapsing–remitting multiple sclerosis: A TBSS and tractography study , 2011, NeuroImage.

[51]  HERMAN BUSCHKE,et al.  Evaluating storage, retention, and retrieval in disordered memory and learning , 1974, Neurology.

[52]  Anthony Feinstein,et al.  Diffusion Tensor Imaging Abnormalities in Cognitively Impaired Multiple Sclerosis Patients , 2010, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[53]  Stephen M. Smith,et al.  Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.

[54]  Joong Hee Kim,et al.  Axonal injury detected by in vivo diffusion tensor imaging correlates with neurological disability in a mouse model of multiple sclerosis , 2008, NMR in biomedicine.

[55]  P Dastidar,et al.  Cognitive dysfunction in primary progressive multiple sclerosis: a neuropsychological and MRI study , 2009, Multiple sclerosis.

[56]  D. Gronwall Paced Auditory Serial-Addition Task: A Measure of Recovery from Concussion , 1977, Perceptual and motor skills.

[57]  Heidi Johansen-Berg,et al.  Relationships of brain white matter microstructure with clinical and MR measures in relapsing‐remitting multiple sclerosis , 2010, Journal of magnetic resonance imaging : JMRI.

[58]  John S. Duncan,et al.  Abnormalities in diffusion tensor imaging of the uncinate fasciculus relate to reduced memory in temporal lobe epilepsy , 2008, Epilepsia.

[59]  C R G Guttmann,et al.  Thalamic atrophy and cognition in multiple sclerosis , 2007, Neurology.

[60]  M Rovaris,et al.  Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis , 2000, Journal of neurology, neurosurgery, and psychiatry.

[61]  K. Zakzanis,et al.  Distinct neurocognitive profiles in multiple sclerosis subtypes. , 2000, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[62]  P. Matthews,et al.  Regional axonal loss in the corpus callosum correlates with cerebral white matter lesion volume and distribution in multiple sclerosis. , 2000, Brain : a journal of neurology.

[63]  Marco Bozzali,et al.  Gray- and white-matter changes 1 year after first clinical episode of multiple sclerosis: MR imaging. , 2010, Radiology.

[64]  J Mazziotta,et al.  A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[65]  J. Noseworthy,et al.  Multiple sclerosis. , 2002, Annual review of medicine.