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Research Article| Volume 10, 100465, 2023

Changes in diffusion tensor imaging indices in basal ganglia and thalamus of patients with Relapsing-Remitting Multiple Sclerosis and relation with clinical conditions: A case-control study

Open AccessPublished:December 16, 2022DOI:https://doi.org/10.1016/j.ejro.2022.100465

      Abstract

      Background

      Multiple sclerosis (MS) is recognized as the most prevalent autoimmune abnormality of the CNS. T1WI, T2WI, and FLAIR are limited in the quantification of tissue damage and detection of tissue alterations in white and grey matter in MS. This study aimed to the evaluation of changes in DTI indices in these patients at the thalamus and basal ganglia.

      Methods

      30 relapsing-remitting MS (RRMS) cases and 30 normal individuals were included. Conventional MRI (T2, FLAIR) was acquired to confirm NAGM in MS patients. A T1 MPRAGE protocol was used to normalize DTI images. FSL, SPM, and Explore DTI software were employed to reach Mean Diffusivities (MD), Axial Diffusivities (AD), Fractional anisotropy (FA), and Radial Diffusivity (RD) at the thalamus and the basal ganglia.

      Results

      The FA and RD of the thalamus were decreased in healthy controls compared to MS cases (0.319 vs. 0.296 and 0.0009 vs. 0.0006, respectively) (P < 0.05). The AD value in the thalamus and the FA value in the caudate nucleus were significantly lower in MS cases than in controls (0.0009 vs. 0.0011 and 0.16 vs. 0.18, respectively) (P < 0.05). MD values in the thalamus or basal ganglia were not significantly different between groups.

      Conclusions

      DTI measures including FA, RD, and AD have a good diagnostic performance in detecting microstructural changes in the normal-appearing thalamus in cases with RRMS while they had no significant relationship with clinical signs in terms of EDSS.

      Availability of data and material

      Not applicable

      Abbreviations:

      MS (Multiple sclerosis), RRMS (relapsing-remitting MS), MD (Mean Diffusivities), AD (Axial Diffusivities), FA (Fractional anisotropy), RD (Radial Diffusivity)

      Keywords

      1. Introduction

      As an autoimmune disease, multiple sclerosis (MS) is classified as a demyelinating disease involving cerebral white matter (WM). According to estimates, there are approximately 2–3 times more women with MS than men worldwide, with a prevalence of more than 2 million cases [

      Global, regional, and national burden of multiple sclerosis 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18(3):269–85.

      ] Currently, Iran is considered a high-risk area for MS [
      • Salehi Z.
      • Almasi-Hashiani A.
      • Sahraian M.A.
      • Ashtari F.
      • Baghbanian S.M.
      • Razazian N.
      • et al.
      Epidemiology of familial multiple sclerosis in Iran: a national registry-based study.
      ]. Hence, research on MS diagnosis has mainly focused on the detection of MS lesions in WM in T2WI. However, recent findings have emphasized the importance of evaluating Gray Matter (GM) involvement in MS [
      • Deppe M.
      • Müller D.
      • Kugel H.
      • Ruck T.
      • Wiendl H.
      • Meuth S.G.
      DTI detects water diffusion abnormalities in the thalamus that correlate with an extremity pain episode in a patient with multiple sclerosis.
      ,
      • Natarajan R.
      • Hagman S.
      • Wu X.
      • Hakulinen U.
      • Raunio M.
      • Helminen M.
      • et al.
      Diffusion tensor imaging in NAWM and NADGM in MS and CIS: association with candidate biomarkers in Sera.
      ]. MS affects the deep GM on pathological and imaging levels [
      • Cifelli A.
      • Arridge M.
      • Jezzard P.
      • Esiri M.M.
      • Palace J.
      • Matthews P.M.
      Thalamic neurodegeneration in multiple sclerosis.
      ,
      • Bakshi R.
      • Ariyaratana S.
      • Benedict R.H.B.
      • Jacobs L.
      Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions.
      ]. Atrophy of the thalamus in MS is found to be related to the development of MS and disability progression [
      • Zivadinov R.
      • Havrdová E.
      • Bergsland N.
      • Tyblova M.
      • Hagemeier J.
      • Seidl Z.
      • et al.
      Thalamic atrophy is associated with development of clinically definite multiple sclerosis.
      ,
      • Zivadinov R.
      • Bergsland N.
      • Dolezal O.
      • Hussein S.
      • Seidl Z.
      • Dwyer M.G.
      • et al.
      Evolution of cortical and thalamus atrophy and disability progression in early relapsing-remitting MS during 5 years.
      ].
      Conventional magnetic resonance imaging (MRI), i.e. T1w and T2w images, cannot specifically detect underlying pathologies and they cannot see the microstructural alterations in normal-appearing white and gray matter (NAWM and NAGM, respectively) in MS, more accurately [
      • Filippi M.
      • Absinta M.
      • Rocca M.A.
      Future MRI tools in multiple sclerosis.
      ]. The magnitude and direction of water diffusion are quantified using diffusion tensor imaging (DTI). This modality is sensitive to microstructural diffuse damage in the brain that seems to be normal on conventional MRI [
      • Rovaris M.
      • Gass A.
      • Bammer R.
      • Hickman S.J.
      • Ciccarelli O.
      • Miller D.H.
      • et al.
      Diffusion MRI in multiple sclerosis.
      ]. DTI indices including FA (fractional anisotropy), MS (mean diffusivity), RD, and AD (radial and axial diffusivities) are more specific in detecting demyelination and axonal injury than conventional MRIs [
      • Sun S.W.
      • Liang H.F.
      • Le T.Q.
      • Armstrong R.C.
      • Cross A.H.
      • Song S.K.
      Differential sensitivity of in vivo and ex vivo diffusion tensor imaging to evolving optic nerve injury in mice with retinal ischemia.
      ].
      A scale called the expanded disability status scale (EDSS) quantifies MS disability in terms of eight functional systems by allowing the neurologist to assign a functional system score (FSS) according to each. EDSS steps 0–3.5 refer to patients with MS who are fully ambulatory, EDSS steps 4.0–9.5 are defined by the impairment to movement. Correlation between EDSS and DTI indices of NAWM as FA and ADC were controversial[
      • Tian W.
      • Zhu T.
      • Zhong J.
      • Liu X.
      • Rao P.
      • Segal B.M.
      • et al.
      Progressive decline in fractional anisotropy on serial DTI examinations of the corpus callosum: a putative marker of disease activity and progression in SPMS.
      ,
      • Sigal T.
      • Shmuel M.
      • Mark D.
      • Gil H.
      • Anat A.
      Diffusion tensor imaging of corpus callosum integrity in multiple sclerosis: correlation with disease variables.
      ].
      The current study aimed at evaluating the role of DTI indices in detecting microstructural changes of the NAGM of basal ganglia and thalamus in patients with relapsing-remitting MS (RRMS) and survey the DTI indices in relation to EDSS. It is important to know this relation because the relation of DTI indices with EDSS as a quantified clinical test had not been cleared previously as a controversial issue.

      2. Patients and methods

      2.1 Study population

      Thirty cases(15 males and 15 females) with RRMS according to the latest revision of McDonald criteria [
      • Thompson A.J.
      • Banwell B.L.
      • Barkhof F.
      • Carroll W.M.
      • Coetzee T.
      • Comi G.
      • et al.
      Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.
      ] and 30(15 males and 15 females) age- and sex-matched healthy individuals were recruited To establish MS diagnosis, the McDonald criteria combine clinical and laboratory evaluations, as well as magnetic resonance imaging (MRI) data An international team led by neurosurgeon Ian McDonald published the first version of the criteria in 2001 Since then, the criteria have been updated several times, most recently in 2017. Those with claustrophobia, cerebral aneurysmal clips or pacemakers, cases with MS relapse, or who received steroid treatment 6 months before imaging were excluded. All participants signed the informed consent form.

      2.2 Imaging

      MRI was performed by GE 1.5 Tesla system (GE Optima 450 W) and a 16-channel dedicated head-coil. Patients underwent routine imaging sequences including T1, T2, FLAIR and also DTI. Protocols used for imaging included: fast spin-echo T2WI coronal: TR= 5510 ms, TE= 77 ms, FOV= 280 mm, slice thickness= 2.5 mm. FLAIR axial: TR= 8910 ms, TE= 93 ms, TI= 2489 ms, FOV= 280 mm, slice thickness= 2.5 mm. Single-Shot SE-EPI (spin echo-echo planar imaging) DTI axial: TR= 12000 ms, TE= 90 ms, slice thickness= 2 mm, FOV= 280 mm, voxel size= 2 * 2 * 2, number of signal averages 1, 30 diffusion encoding directions with 3 sets of b= 0 and b= 1000 s/mm2.

      2.3 Image interpretation

      T2WI and FLAIR were reviewed to exclude patients with abnormal signal intensity in the deep GM (thalamus, lentiform, and caudate nuclei). Post-processing of DTI images was performed using ExploreDTI software[
      • Leemans A.
      • Jeurissen B.
      • Sijbers J.
      • Jones D.K.
      ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data.
      ]. Echo planar imaging distortion, eddy current and subject motion were then corrected using the ExploreDTI correction algorithm(Algorithm: motion correction, eddy current correction, EPI distortion correction). DTI indices were extracted from corrected data. Similar processing was also done in the control group. One researcher used B0 images to place the region-of-interest (ROI) on areas of interest. In three contiguous sections, three ROIs in each hemisphere in the thalamus, lentiform nucleus, and caudate nucleus were placed (ROI= 20 voxels in the thalamus and 10 voxels in the caudate nucleus, putamen, and globus pallidus) (Fig. 1). The widest part of the mentioned structure was considered to avoid partial volume effects. Average AD, FA, MD, and RD from three contiguous sections were considered for final analysis.
      Fig. 1
      Fig. 1A) Fractional anisotropy image, B) Mean diffusivity image, C) ROI placement within the thalamus in fractional anisotropy image.

      2.4 Data analysis

      The results are described using mean±SD. Frequencies and percentages are used to describe categorical data. The data distribution was evaluated by the shapiro_wilk test. The Shapiro–Wilk test is a test of normality in frequentist statistics. Spearman’s rho test was used to assess the relationship between DTI and EDSS score. Intergroup comparisons were done using the t-test and U Mann-Whitney test. The level of statistical significance was considered to be 0.05. Data analysis was administered by SPSS V.20.
      In addition, this research is confirmed by the Ethics Committee of our medical university.

      3. Results

      Thirty cases with a confirmed diagnosis of RRMS and 30 age and sex-matched normal individuals were studied. The mean age of MS cases and the control group were 37 ( ± 9.4) and 37 ( ± 8.5) years, respectively. 50% of individuals in each group were female (n = 15 in both MS patients and the control group).
      Using the U Mann-Whitney test average age in two control and case groups had been compared. It was demonstrated no differences between the two groups (p = 0.807). More details as shown in Table 1.
      Table 1Comparison of two groups (case and control) in terms of age.
      Age
      #patientControl
      14933
      23747
      33833
      45043
      54735
      61720
      74928
      84128
      93639
      103538
      113343
      123534
      134922
      143033
      152428
      164540
      172837
      182542
      194839
      203234
      215047
      223138
      232436
      244750
      253749
      264318
      273039
      282750
      294746
      303743
      Average37.3666737.06667
      SD9.3789328.525553
      Range17–5018–50
      Z-0.807
      P-value0.807
      Table 2 represents the average FA, MD, RD, and AD in the thalamus, caudate nucleus, putamen, and globus pallidus. In control group, FA of the thalamus was significantly lower than MS cases (0.296 ± 0.013 vs. 0.319 ± 0.019, respectively) (p-value =<0.001). In contrast, average FA of caudate nucleus was decreased in MS group compared to control group (0.16 ± 0.03 vs. 0.18 ± 0.02, respectively) (p = 0.018). No significant difference was observed in MD values of thalamus and BG between MS patients and the control group (p > 0.05). RD of the thalamus was significantly increased in the MS group in comparison with the controls (0.0009 ± 0.00002 vs. 0.0006 ± 0.00002, respectively) (p-value=<0.001). AD of thalamus was decreased significantly in MS group compared to the controls (0.0009 ± 0.00003 vs 0.0011 ± 0.00003, respectively) (p-value < 0.001). The study groups were not significantly different concerning RD and AD values in BG (p > 0.05) (Table 1).
      Table 2Measured diffusion tensor imaging indices in MS patients and control group.
      IndexMean ( ± SD)P-value
      MSControl
      ThalamusFractional Anisotropy0.319 ( ± 0.019)0.296 ( ± 0.013)< 0.001
      Mean Diffusivity0.0008 ( ± 3.10)0.0008 ( ± 1.97)0.823
      Radial Diffusivity0.0009 ( ± 0.00002)0.0006 ( ± 0.00002)< 0.001
      Axial Diffusivity0.0009 ( ± 0.00003)0.0011 ( ± 0.00003)< 0.001
      Caudate nucleusFractional Anisotropy0.16 ( ± 0.03)0.18 ( ± 0.02)0.018
      Mean Diffusivity0.0008 ( ± 0.00004)0.0007 ± (0.00005)0.496
      Radial Diffusivity0.0007 ( ± 0.00004)0.0007 ( ± 0.00005)0.283
      Axial Diffusivity0.0010 ( ± 0.00007)0.0008 ( ± 0.00006)0.425
      PutamenFractional Anisotropy0.16 ( ± 0.02)0.16 ( ± 0.02)0.103
      Mean Diffusivity0.0007 ( ± 0.00003)0.0007 ( ± 0.00002)0.472
      Radial Diffusivity0.0007 ( ± 0.00003)0.0007 ( ± 0.00003)0.421
      Axial Diffusivity0.0008 ( ± 0.00003)0.0008 ( ± 0.00003)0.648
      Globus PallidusFractional Anisotropy0.35 ( ± 0.03)0.34 ( ± 0.03)0.348
      Mean Diffusivity0.00090.00080.462
      Radial Diffusivity0.00070.00080.161
      Axial Diffusivity0.00100.00100.544
      MS: Multiple Sclerosis
      The mean ( ± SD) of EDSS score in patients was 2.4667 ± 0.84009 and the correlation between EDSS and DTI indices was not statistically significant. (Table 3).
      Table 3Relation between DTI indices and EDSS using Spearman’s rho test.
      Expanded Disability Status Scale (EDSS)Spearman’s rho
      IndexCorrelation CoefficientP-ValueSignificance
      ThalamusFA0.0890.638NO
      MD-0.2120.261NO
      RD-0.1550.413NO
      AD-0.0290.879NO
      Caudate nucleusFA-0.2030.282NO
      MD0.0050.981NO
      RD-0.0110.953NO
      AD0.1080.570NO
      PutamenFA0.1510.425NO
      MD-0.0430.820NO
      RD0.0060.973NO
      AD-0.0330.861NO
      Globus PallidusFA0.2210.240NO
      MD-0.0610.748NO
      RD-0.0630.741NO
      AD0.0290.879NO
      Age0.3290.076NO

      4. Discussion

      A total of 60 individuals in two sex and age-matched case and control groups, were studied. Following conventional MRI sequences, DTI indices (i.e., FA, MD, RD, and AD) were evaluated in NAGM of the thalamus and BG. Our results showed a high value for DTI of the thalamus to detect NAGM microstructural changes in MS patients. FA, RD, and AD of the thalamus were significantly changed in the MS group in comparison to the controls. Besides, FA of caudate nuclei was significantly higher in controls than in MS cases. However, DTI of the lentiform nucleus did not show different indices between MS cases and the control group. In addition, EDSS as a quantified score had no statistical relationship to DTI indices. Due to controversy in the relationship between EDSS and DTI indices, this study was designed.
      Although MRI is the most valuable modality in MS diagnosis, the association between conventional MRI findings and patients’ clinical conditions is not optimal [
      • Cohen J.A.
      • Reingold S.C.
      • Polman C.H.
      • Wolinsky J.S.
      Disability outcome measures in multiple sclerosis clinical trials: current status and future prospects.
      ]. This suggests the presence of other pathological changes in white matter or grey matter that cannot be detected in conventional MRI [
      • Kutzelnigg A.
      • Lucchinetti C.F.
      • Stadelmann C.
      • Brück W.
      • Rauschka H.
      • Bergmann M.
      • et al.
      Cortical demyelination and diffuse white matter injury in multiple sclerosis.
      ,
      • Cohen J.A.
      • Reingold S.C.
      • Polman C.H.
      • Wolinsky J.S.
      Disability outcome measures in multiple sclerosis clinical trials: current status and future prospects.
      ]. The so-called NAGM and NAWM can be further evaluated by DTI to detect microstructural changes resulting from the proliferation of microglia, T cell infiltration, and perivascular cuffing [
      • Kutzelnigg A.
      • Lucchinetti C.F.
      • Stadelmann C.
      • Brück W.
      • Rauschka H.
      • Bergmann M.
      • et al.
      Cortical demyelination and diffuse white matter injury in multiple sclerosis.
      ,
      • Moore G.R.W.
      • Laule C.
      • MacKay A.
      • Leung E.
      • Li D.K.B.
      • Zhao G.
      • et al.
      Dirty-appearing white matter in multiple sclerosis.
      ]. DTI is a diffusion MRI technique intended to estimate brain fiber structures by water diffusion characteristics [
      • Alba-Ferrara L.M.
      • de Erausquin G.A.
      What does anisotropy measure? Insights from increased and decreased anisotropy in selective fiber tracts in schizophrenia.
      ]. To quantify water diffusion changes in DTI, commonly derived indices include:
      a) FA which measures anisotropy of water diffusion and has a positive association with fiber density, axonal diameter, and myelination. Higher FA shows full restriction along one axis but low values are an indication of isotropic diffusion in all directions [
      • De Erausquin G.
      • Alba-Ferrara L.
      What does anisotropy measure? Insights from increased and decreased anisotropy in selective fiber tracts in schizophrenia.
      ].
      b) MD indicates the degree of diffusion, independent of direction. This is sometimes known as the apparent diffusion coefficient (ADC).
      c & d) AD describes the diffusion rate along the primary axis of diffusion. Besides, RD reflects the mean diffusivity along the other two minor axes.
      In a study by Homos et al. [
      • Homos M.D.
      • Ali M.T.
      • Osman M.F.
      • Nabil D.M.
      DTI metrics reflecting microstructural changes of normal appearing deep grey matter in multiple sclerosis.
      ], the MD values of the thalamus, lentiform, and caudate nuclei were significantly higher in the MS group compared to normal individuals. Our results and Zhou et al. [
      • Zhou F.
      • Zee C.S.
      • Gong H.
      • Shiroishi M.
      • Li J.
      Differential changes in deep and cortical gray matters of patients with multiple sclerosis: a quantitative magnetic resonance imaging study.
      ] study revealed no significant change in MD of NAGM in the MS group compared to the healthy controls. Both of these studies have generally included MS patients in every disease course; but, in this study, only cases with relapsing-remitting MS were considered eligible. Woitek et al. study revealed higher MD values in the putamen in primary progressive MS compared to secondary progressive MS patients [
      • Woitek R.
      • Leutmezer F.
      • Dal-Bianco A.
      • Furtner J.
      • Kasprian G.
      • Prayer D.
      • et al.
      Diffusion tensor imaging of the normal-appearing deep gray matter in primary and secondary progressive multiple sclerosis.
      ]. Hence, specifying the disease course is important in the interpretation of DTI measures in MS patients and the discrepancy between our results and those of Homos et al. can be attributed to the difference in inclusion criteria.
      Thalamus is an information relay center and its role in MS development is correlated with various clinical findings such as fatigue and cognitive impairment [
      • Amin M.
      • Ontaneda D.
      Thalamic injury and cognition in multiple sclerosis.
      ]. Our results revealed a high value for DTI of the thalamus in relapsing-remitting MS. FA and RD of the thalamus were significantly higher in MS patients and AD was significantly higher in healthy cases. Generally, the high density of the ordered structures (axonal fibers) is associated with high FA; thus, a lower FA is expected in damaged tissues [
      • De Erausquin G.
      • Alba-Ferrara L.
      What does anisotropy measure? Insights from increased and decreased anisotropy in selective fiber tracts in schizophrenia.
      ]. However, FA changes in the thalamus in MS are controversial. Some studies have reported decreased FA in the thalamus of MS patients [
      • Cappellani R.
      • Bergsland N.
      • Weinstock-Guttman B.
      • Kennedy C.
      • Carl E.
      • Ramasamy D.P.
      • et al.
      Subcortical deep gray matter pathology in patients with multiple sclerosis is associated with white matter lesion burden and atrophy but not with cortical atrophy: a diffusion tensor MRI study.
      ,
      • Schoonheim M.M.
      • Vigeveno R.M.
      • Rueda Lopes F.C.
      • Pouwels P.J.
      • Polman C.H.
      • Barkhof F.
      • et al.
      Sex-specific extent and severity of white matter damage in multiple sclerosis: implications for cognitive decline.
      ] while others showed increased FA values [
      • Deppe M.
      • Müller D.
      • Kugel H.
      • Ruck T.
      • Wiendl H.
      • Meuth S.G.
      DTI detects water diffusion abnormalities in the thalamus that correlate with an extremity pain episode in a patient with multiple sclerosis.
      ,
      • Homos M.D.
      • Ali M.T.
      • Osman M.F.
      • Nabil D.M.
      DTI metrics reflecting microstructural changes of normal appearing deep grey matter in multiple sclerosis.
      ,
      • Tovar-Moll F.
      • Evangelou I.E.
      • Chiu A.W.
      • Richert N.D.
      • Ostuni J.L.
      • Ohayon J.M.
      • et al.
      Thalamic involvement and its impact on clinical disability in patients with multiple sclerosis: a diffusion tensor imaging study at 3T.
      ,
      • Solana E.
      • Martinez-Heras E.
      • Montal V.
      • Vilaplana E.
      • Lopez-Soley E.
      • Radua J.
      • et al.
      Regional grey matter microstructural changes and volume loss according to disease duration in multiple sclerosis patients.
      ].
      Our results also showed significantly decreased FA value in the caudate nucleus of MS patients while Hasan et al. revealed an approximately 9% larger FA value in the RRMS group relative to controls [
      • Hasan K.M.
      • Halphen C.
      • Kamali A.
      • Nelson F.M.
      • Wolinsky J.S.
      • Narayana P.A.
      Caudate nuclei volume, diffusion tensor metrics, and T(2) relaxation in healthy adults and relapsing-remitting multiple sclerosis patients: implications for understanding gray matter degeneration.
      ]. The present controversy in the change of FA values in NAGM of MS patients can be attributed to the degree of pathological changes of NAGM at the time of imaging. Microglial activation results in dendrites loos and bipolar orientation which causes an increased FA [
      • Davalos D.
      • Grutzendler J.
      • Yang G.
      • Kim J.V.
      • Zuo Y.
      • Jung S.
      • et al.
      ATP mediates rapid microglial response to local brain injury in vivo.
      ] but inflammatory processes result in decreased FA [
      • Sbardella E.
      • Tona F.
      • Petsas N.
      • Pantano P.
      DTI measurements in multiple sclerosis: evaluation of brain damage and clinical implications.
      ]. Depending on the dominancy of each of mentioned processes, the FA values may increase or decrease in MS patients. These findings emphasize the importance of the change in FA values in the evaluation of microstructural changes in MS.
      Our results showed significantly increased and decreased RD and AD values in MS patients' thalamus. Increased thalamus AD and RD values have been reported in previous studies [
      • Cappellani R.
      • Bergsland N.
      • Weinstock-Guttman B.
      • Kennedy C.
      • Carl E.
      • Ramasamy D.P.
      • et al.
      Subcortical deep gray matter pathology in patients with multiple sclerosis is associated with white matter lesion burden and atrophy but not with cortical atrophy: a diffusion tensor MRI study.
      ,
      • Bergsland N.
      • Tavazzi E.
      • Laganà M.M.
      • Baglio F.
      • Cecconi P.
      • Viotti S.
      • et al.
      White matter tract injury is associated with deep gray matter iron deposition in multiple sclerosis.
      ]. Underlying tissue structure contributes to the precise interpretation of the AD and RD alternations [
      • Wheeler-Kingshott C.A.
      • Cercignani M.
      About "axial" and "radial" diffusivities.
      ]. Moreover, the GM inflammation level at imaging time and also heterogenicity of sample size and ROI selection may attribute to decreased AD in our study. Regardless of the direction of alteration of AD and RD, these results suggest the role of measuring these indices in the evaluation of thalamus microstructural injuries in MS patients.
      The relation between Expanded Disability Status Scale (EDSS) and DTI indices is in an aura of ambiguity. Some studies revealed a significant relationship but others did not. Fink et al. in 2010 surveyed DTI changes in PRMS in two cases (53 patients) and control (15 healthy individuals) groups. The median EDSS was 2.5 while none of the DTI indices was related to EDSS. [
      • Fink F.
      • Klein J.
      • Lanz M.
      • Mitrovics T.
      • Lentschig M.
      • Hahn H.K.
      • et al.
      Comparison of diffusion tensor‐based tractography and quantified brain atrophy for analyzing demyelination and axonal loss in MS.
      ] In another study Griffin et al. examined DTI changes in relation to EDSS in 28 patients and 27 healthy people and demonstrated no significant relationship between EDSS and DTI indices. [
      • Griffin C.M.
      • Chard D.T.
      • Ciccarelli O.
      • Kapoor R.
      • Barker G.J.
      • Thompson A.J.
      • et al.
      Diffusion tensor imaging in early relapsing-remitting multiple sclerosis. Multiple Sclerosis.
      ]These two studies were similar to ours. In contrast, some studies revealed a significant relationship. Benedetti et al. surveyed 40 benign MS, 28 secondary progressive MS, and 18 healthy individuals and demonstrated that EDSS had a significant relationship with average cord FA. [
      • Benedetti B.
      • Rocca M.A.
      • Rovaris M.
      • Caputo D.
      • Zaffaroni M.
      • Capra R.
      • et al.
      A diffusion tensor MRI study of cervical cord damage in benign and secondary progressive multiple sclerosis patients.
      ] Another study showed similar results. [
      • Liu Y.
      • Duan Y.
      • He Y.
      • Yu C.
      • Wang J.
      • Huang J.
      • et al.
      Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: a TBSS study.
      ,
      • Giorgio A.
      • De
      • Stefano N.
      Cognition in multiple sclerosis: relevance of lesions, brain atrophy and proton MR spectroscopy.
      ,
      • Onu M.
      • Roceanu A.
      • Sboto-Frankenstein U.
      • Bendic R.
      • Tarta E.
      • Preoteasa F.
      • et al.
      Diffusion abnormality maps in demyelinating disease: correlations with clinical scores.
      ,
      • Ciccarelli O.
      • Wheeler-Kingshott C.
      • McLean M.
      • Cercignani M.
      • Wimpey K.
      • Miller D.
      • et al.
      Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis.
      ,
      • Colato E.
      • Stutters J.
      • Tur C.
      • Narayanan S.
      • Arnold D.L.
      • Wheeler-Kingshott C.A.G.
      • et al.
      Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes.
      ] EDSS is an index that is generally influenced by motor dysfunctions so in the early stages maybe not be altered. Also, a clinical correlation between diffusion changes and disability is less likely to be found when diffusion changes are evaluated in the whole brain [
      • Sbardella E.
      • Tona F.
      • Petsas N.
      • Pantano P.
      DTI measurements in multiple sclerosis: evaluation of brain damage and clinical implications.
      ]. Maybe more studies are needed to evaluate these differences.
      Our study suffers from some limitations, including the lack of longitudinal studies to better understand changes in DTI measures of NAGM. Also, due to limitations regarding the study’s scope, clinical correlation with DTI measures was not studied. Moreover, this study used a 1.5 Tesla MRI machine which can affect the accuracy of DTI measures, and future studies with 3 T MRI are recommended. In conclusion, thalamus DTI has a good diagnostic performance in relapsing-remitting MS patients. Based on our results and those of previous studies, various patterns of AD, RD, MD, and FA alteration may be seen in the thalamus DTI of these patients but a normal DTI measure is less likely. Future studies should focus on different clinical courses of MS and also correlate DTI measures with the clinical conditions of the patients.

      Funding

      This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

      Ethics approval and consent to participate

      Ethics committee of AJA University of Medical Sciences approved this descriptive cross-sectional study.

      CRediT authorship contribution statement

      Dr R G supervised MRI study on all patients and recorded data related to MRI information. Dr M A and B S and AA extracted all non-imaging information from patients by interview. B A and Dr H B analyzed interpreted the patient data. All authors read and approved the final manuscript.

      Competing interests

      The authors declare that they have no competing interests.

      Acknowledgements

      Not applicable.

      Consent for publication

      Not applicable.

      The funding source

      The funding source(s) had no such involvement.

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