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  Vol. 59 No. 10, October 2002 TABLE OF CONTENTS
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Diffuse Axonal and Tissue Injury in Patients With Multiple Sclerosis With Low Cerebral Lesion Load and No Disability

Nicola De Stefano, MD; Sridar Narayanan, MSc; Simon J. Francis, BSc; Steve Smith, DPhil; Marzia Mortilla, MD; M. Carmela Tartaglia, BSc; Maria L. Bartolozzi, MD; Leonello Guidi, MD; Antonio Federico, MD; Douglas L. Arnold, MD

Arch Neurol. 2002;59:1565-1571.

ABSTRACT

Background  Although in situ pathological studies and in vivo magnetic resonance (MR) investigations have shown that axonal injury can be significant in the early stages of multiple sclerosis (MS), diffuse axonal injury is generally considered a secondary event. Cerebral axonal damage can be specifically assessed in vivo by measuring levels of brain N-acetylaspartate (NAA, a specific index of axonal integrity detected by MR spectroscopy). Other new MR measurements such as magnetization transfer ratio (MTr) or computed estimation of brain volume can provide less specific indexes of tissue damage.

Objective  To determine whether diffuse axonal and tissue injury is present in patients with definite MS who do not show clinically significant disability.

Methods  We measured brain NAA levels (normalized to creatine [Cr]), MTr values, and cerebral volumes in patients with definite MS who had low T2-weighted MR imaging lesion volumes and no clinical disability, and also in age-matched healthy control subjects.

Results  Values of central brain NAA/Cr and MTr in normal-appearing white matter were significantly lower in the MS patients than in controls (P<.001). In contrast, total brain volumes were not significantly different between these groups. Similar results were found for MS patients with early disease (duration, <3 years) and with a particularly low cerebral T2-weighted MR imaging lesion load (<=2 cm3).

Conclusions  Cerebral NAA/Cr and MTr values are diffusely decreased in MS patients with early disease, low demyelinating lesion load, and no significant disability. This suggests that axonal and/or tissue injury begins very early in the course of MS and might be at least partially independent of cerebral demyelination.



INTRODUCTION
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MULTIPLE SCLEROSIS (MS) is an inflammatory demyelinating disease of the central nervous system that causes severe clinical disability in young adults. Traditionally, impairment of the central nervous system and the related loss of function have been considered to be largely due to the demyelination and consequent delay or block of electrical conduction by axons that are otherwise substantially preserved. In the past decade, however, in vivo magnetic resonance (MR) spectroscopy (MRS) studies of N-acetylaspartate (NAA)1-5 and in situ postmortem studies6-8 have demonstrated that sparing of axons is only relative in MS and injured or transected axons are a common finding in this disorder. This has led to a reconsideration of the role of axonal injury in MS and, in particular, its relevance to clinical disability.9-10

There is an increasing agreement that axonal loss plays a major role in the pathology of MS11 and there exists both in vivo and in situ evidence that axonal injury can be significant from the early stages of the disease. However, the mechanisms by which axonal injury occurs are not fully understood. For example, if axonal injury is simply a bystander effect secondary to demyelination, then the degree of axonal injury should be strongly related to the degree of demyelination. However, several experimental studies suggest that axonal injury and dysfunction in MS may be independent of the degree of demyelination12-16 and might begin to accumulate before clinical disability is evident.17

Axonal injury inside and beyond MS lesions can be evaluated with MRS by measuring brain levels of NAA18 (an amino acid localized almost exclusively in neurons and axons in the mature central nervous system19-20) and, more indirectly, by means of other MR indexes of tissue damage such as the magnetization transfer (MT) ratio (MTr)21 or the computed estimation of brain volume.22 In a number of recent studies, these MR indexes have been demonstrated to be sensitive in detecting early pathologic changes in brains of patients with MS.4, 23-26 Thus, our goal in the present study was to assess in vivo whether diffuse cerebral axonal and tissue injury accrues in nondisabled MS patients who exhibit little evidence of focal demyelination. To do this, we evaluated values of NAA-creatine (Cr), MTr, and total cerebral volumes in the brains of a selected group of patients with established MS who showed low volumes of cerebral T2-weighted (T2-W) lesions on conventional MR imaging and absence of disability at clinical examination.


SUBJECTS AND METHODS
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STUDY POPULATION

Sixty patients (41 women and 19 men; age range, 18-54 years; mean, 35 years) with clinically definite MS27 but without clinical disability (Expanded Disability Status Scale [EDSS],28 <2) were chosen from the population followed up at the MS clinics of the Montreal Neurological Institute and Hospital, Montreal, Quebec (MNH, n = 26), and of the Institute of Neurological Sciences of the University of Siena, Siena, Italy (Siena; n = 34). Patients from both sites had a relatively short disease duration (range, 0.4-13.0 years; median, 2.7 years) and were all classified as having the relapsing-remitting form of the disease. All patients were relapse- and drug treatment–free for at least 1 month before study entry. The ethics committees of both institutions approved the study. Informed consent was obtained from all participating subjects.

MR EXAMINATIONS

All patients were examined using the same MR protocol, which included combined proton MR imaging and MRS imaging examinations of the brain. A transverse dual-echo, turbo spin-echo sequence (repetition time, 2075 milliseconds; first echo time, 30 milliseconds; second echo time, 90 milliseconds; 256 x 256 matrix; 1 signal average; and 250-mm field of view) yielding proton density and T2-W images with 50 contiguous 3-mm slices was acquired parallel to the line connecting the anterior and posterior commissures. Subsequently, an MT sequence was performed to acquire 2 transverse T1-W, gradient echo images, 1 without (No Sat) and 1 with (Sat) MT saturation pulses (repetition time, 35 milliseconds; echo time, 10 milliseconds; 256 x 256 matrix; 1 signal average; and 250-mm field of view). This sequence yielded image volumes of 50 slices, 3 mm thick, oriented to match the proton density–T2 acquisition exactly. The MT pulse was a 1.2-millisecond on-resonance (radio-frequency field strength, 20 µT), placed just before each slice-selective excitation.29

The MR images were used to select an intracranial volume of interest (VOI) for spectroscopy measuring approximately 100 mm anteroposterior x 20 mm craniocaudal x 90 mm left to right. This was centered on the corpus callosum to include mostly white matter of both hemispheres. Two-dimensional spectroscopic images were obtained using a 90°-180°-180° pulse sequence (repetition time, 2000 milliseconds; echo time, 272 milliseconds; 250-mm field of view; 32 x 32 phase-encoding steps; and 1 signal average per step) as previously described.30 Water suppression was achieved by placing frequency-selective excitation pulses at the beginning of the MRS imaging sequence.31 Before the water-suppressed acquisition, another MRS image was acquired without water suppression (repetition time, 850 milliseconds; echo time, 272 milliseconds; 250-mm field of view; and 16 x 16 phase-encoding steps) to allow for B0 homogeneity correction.

MR DATA ANALYSIS

Lesion Volumes and MT

The T2-W lesions were classified by a single observer (S.J.F.) with the use of a user-supervised thresholding technique. Lesion borders were determined primarily on proton density–weighted images, but information from T2-W and T1-W images were also considered. As the aim of the study was to study a population with established MS and low disease burden, MS patients were included only if they had a T2-W lesion volume of less than 20 cm3 (about 1.5% of the total brain tissue volume). This condition was met in 57 of the 60 MS patients; thus, data from 3 patients were excluded from the analysis. Percentage difference MTr images were calculated on a voxel-by-voxel basis according to the following equation:



(after thresholding above the noise background), as previously described.32 Once T2-W lesions and normal-appearing brain were classified, the MTr values of these regions were calculated. Only values of MTr in the normal-appearing white matter (NAWM) were considered here. These were calculated by taking consistent samples of white matter from 5 regions (corona radiata and centrum semiovale, frontal lobe, genu of corpus callosum, splenium of corpus callosum, and occipital lobe) (Figure 1). The MTr for NAWM was then obtained by averaging the mean MTr from each region. Values of MTr for NAWM in the control group were obtained in the same way.



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Figure 1. Examples of magnetization transfer ratio (MTr) percentage difference images of a healthy control subject, illustrating (dark regions) the 5 white matter regions (corona radiata and centrum semiovale, frontal lobe, genu of corpus callosum, splenium of corpus callosum, and occipital lobe) used for the calculation of white matter MTr values. In each subject, these regions of interest span 6 slices, but only 2 (A and B) are illustrated for brevity.


Proton-MRS Imaging

Postprocessing of the raw proton–MRS imaging data was performed as previously described.26 Metabolite resonance intensities of NAA were determined automatically from peak areas relative to a spline-corrected baseline and expressed as ratios to Cr (Figure 2). The resonance intensity of intravoxel Cr has been widely used as an internal standard in MRS studies in vivo, as it is relatively equally present in all brain cells and tends to be stable in nonacute pathology.3 Changes in apparent brain Cr concentrations have been reported in MS in recent MRS studies attempting absolute quantitation. However, all current quantitative approaches have important limitations when applied to clinical studies and, in MS patients, have shown discrepant results in lesions and NAWM.4, 33-37 In vitro MRS, which does not suffer from the limitations of in vivo quantitation, has demonstrated that Cr does not change in normal-appearing tissues of the brains of MS patients.38 Thus, as lesions accounted for only a minimal portion of the large central VOI (mean, 1.5% [range, 0%-3%]; data not shown) in this group of MS patients, changes in Cr, although possible, are unlikely and results were expressed as the intravoxel ratio of NAA to Cr. The relative NAA/Cr values of the whole brain region were obtained by averaging the NAA/Cr for all the voxels in the spectroscopic VOI for each subject. Spectra at the edges of the VOI affected by chemical shift artifacts associated with selective excitation were deleted before averaging.



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Figure 2. Magnetic resonance images in sagittal (A) and transverse (B) orientation of a patient with multiple sclerosis, illustrating the volume of interest (VOI) used for spectroscopic imaging (see grid in B) and an example of the resulting spectra (C) from deep white matter voxels (filled squares in B). Voxels at the edge of the VOI were omitted from analysis, since they can show artifactual relative amplitudes. The ratios of N-acetylaspartate (NAA) to intravoxel creatine (Cr) in the remaining voxels were averaged to obtain 1 value for each examination.


Total Brain Volumes

On T1-W MR images, normalized volumes of the whole of the brain parenchyma were measured using a method for brain volume measurement (the cross-sectional version of the SIENA software39 [SIENAX; available at: http://www.fmrib.ox.ac.uk/analysis/research/siena/]) (Figure 3). SIENAX uses a method to extract the brain and skull from the MR images, as previously described.40 A tissue segmentation program41 is then used to segment the extracted brain image into brain tissue, cerebrospinal fluid, and background, yielding an estimate of total brain tissue volume. The original MR images are registered to a canonical image in a standardized space (using the skull image to provide the scaling cue), a procedure that provides a spatial normalization factor for each subject. The estimate of brain tissue volume for a subject is then multiplied by the normalization factor to yield the normalized brain volume (NBV).



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Figure 3. Typical transverse T1-weighted magnetic resonance images of a healthy control subject (A and B) and an illustrative example of the SIENAX output (the cross-sectional version of the SIENA software39) (C and D). The normalized brain volume includes only brain parenchyma and discards cerebrospinal fluid and other nonbrain tissues, yielding an estimate of total brain tissue volume (see the "Subjects and Methods" section).


STATISTICAL ANALYSIS

At each site, MR data of MS patients were compared with those of an age-matched healthy control (HC) group: 21 subjects at MNH (13 women and 8 men; age range, 22-57 years [mean, 35 years]) and 21 at Siena (12 women and 9 men; age range, 21-52 years [mean, 35 years]). Comparisons were made between corresponding HC populations of each site (ie, Siena-HC vs MNH-HC) and between the whole group of MS patients and HC subjects of both sites. In the latter case, MR data were standardized at each site using a z score transformation relative to the corresponding HC group. This allowed avoiding potentially spurious results due to machine-related differences between sites. The nonparametric Kruskal-Wallis 1-way analysis of variance on ranks was used for the statistical analysis, and values were considered significant at the .05 level. SYSTAT software (Version 9 for Windows; SPSS Inc, Chicago, Ill) was used to perform statistical calculations.


RESULTS
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The comparison of MR measurements from each center showed that NAA/Cr and NBV values of the HC groups were not different between the 2 sites (NAA/Cr in Siena-HC, 3.06 ± 0.2 and in MNH-HC, 3.14 ± 0.16; NBV in Siena-HC, 1467 ± 41 cm3 and in MNH-HC, 1476 ± 68 cm3; P>.10 for both). However, white matter MTr values were significantly lower in the Siena-HC group than in the MNH-HC group (MTr in Siena-HC, 35.3 ± 0.9 and in MNH-HC, 36.4 ± 0.4; P<.001). This was probably due to the sensitivity of MTr measurements to subtle differences in hardware between MR scanners. However, as mentioned before, all MR data measurements were standardized at each site using a z score transformation to correct for differences in HC subjects at different sites and to allow comparisons between the whole groups of HC subjects and MS patients.

In the whole group of MS patients without clinical disability, the standardized levels of central brain NAA/Cr were significantly lower than those of HC subjects (P<.001, Figure 4). Similarly, standardized MTr values were lower in the NAWM of MS patients than in the white matter of HC subjects (P<.001, Figure 4). However, while the fully automated estimation of standardized NBV showed a trend toward decreased values in the MS group with respect to the age-matched HC group, this did not reach statistical significance (P = .07, Figure 4).



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Figure 4. Box plots comparing the standardized magnetic resonance measurements (ratio of N-acetylaspartate to creatine [NAA/Cr], magnetization transfer ratio [MTr], and normalized brain volume [NBV]) in the whole group of patients with multiple sclerosis (MS) with a group of age-matched healthy control subjects (HC).


When similar analyses were performed in MS patients grouped according to duration of disease, 36 patients with early disease duration (<3 years) still showed significantly lower brain NAA/Cr and MTr values than did HC subjects (P = .001 and P = .004, respectively; Figure 5). Furthermore, a subgroup of 26 patients with minimal lesion volume (<=2 cm3 of T2-W MR imaging lesions, about 0.15% of the total brain volume) also showed significantly low NAA/Cr and MTr (P<.05 for both; Figure 6). In both subgroups, patient values of NBV were not different from those of HC subjects (P>.50 in both subgroups).



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Figure 5. Box plots of the standardized magnetic resonance measurements (ratio of N-acetylaspartate to creatine [NAA/Cr], magnetization transfer ratio [MTr], and normalized brain volume [NBV]) in a selected subgroup of patients with multiple sclerosis (MS) (n = 36) with short disease duration (<3 years) with respect to healthy control subjects (HC).




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Figure 6. Box plots of the standardized magnetic resonance (MR) measurements (ratio of N-acetylaspartate to creatine [NAA/Cr], magnetization transfer ratio [MTr], and normalized brain volume [NBV]) in a selected subgroup of patients with multiple sclerosis (MS) (n = 26) with very low volume (<=2 cm3) of cerebral T2-weighted MR imaging lesions with respect to healthy control subjects (HC).



COMMENT
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Because NAA is localized to neurons and axons in adult human brain19, 42 and correlates strongly with axonal density,20, 43 levels of brain NAA detected by proton-MRS imaging can be interpreted, with some rare exceptions,44-45 as a surrogate of neuronal and axonal integrity. Large decreases of NAA have been observed in numerous spectroscopic studies inside and beyond MS lesions1-2,4-5,18 and have been demonstrated to occur, to a lesser degree, also in the NAWM of MS patients from the early disease stages.26 Results of the present study extend these previous observations26 by showing that significant decreases of NAA can be detected in the NAWM of MS patients with very low disease duration, in the absence of substantial focal brain demyelination and before permanent clinical disability becomes evident. Given that NAA decreases were confined to demyelinating lesions in brains of patients with clinically isolated syndromes who subsequently developed MS,46 our observations also suggest that diffuse cerebral axonal injury rapidly accumulates in the early stages of the disease.

In addition to decreases of NAA/Cr, we also found decreases of MTr in the NAWM in this group of nondisabled MS patients. Magnetization transfer imaging of the brain is based on the interactions between the free water protons and protons attached to macromolecules, and a low MTr indirectly reflects tissue (matrix) damage.47-48 Several studies have demonstrated marked MTr reductions in lesions and NAWM of patients with MS.49-50 As recent studies have shown that focal MTr decreases in NAWM can occur before lesion appearance on conventional MR imaging,51-53 a low MTr in the NAWM may reflect subtle, microscopic, or molecular pathology of myelin in macroscopically normal white matter. Edema, astrocytic proliferation, perivascular inflammation, and demyelination may all contribute to a decreased amount of water bound to macromolecules in the NAWM and, as a consequence, reduced MTr.47 These pathologic features, however, are not prominent in the NAWM in early MS. A potential mechanism for subtle molecular alteration of myelin remains to be determined, but its presence is suggested by the fact that MTr values are decreased in the white matter of patients with MS who have completely normal results of conventional MR imaging of their brain.23 In addition, since MTr decreases in postmortem brain of MS patients also correlate with axonal loss,21 it may be possible that membrane alterations associated with axonal injury also contribute to the decreases in MTr.

In this cross-sectional study, we did not find significant differences in NBV between MS patients and age-matched HC subjects, although there was a trend suggesting the presence of modest brain atrophy in the patient group as a whole. Significant atrophy has been recently reported in the brains of MS patients in both cross-sectional and longitudinal studies that used automated or semiautomated measures of brain volume.22, 25, 54-56 In particular, significant losses of brain volume have been found in MS patients with mild disability,22 and significantly increased rates of ventricular enlargement have been reported in early-stage MS patients57 and in patients with clinically isolated syndromes who later developed MS.24 Differences between these published data and those presented herein could be the result of the lower sensitivity of cross-sectional measurements of total brain volume with respect to measurements of atrophy rates and the particularly mild clinical condition of the patients included in our study. Indeed, by showing a trend toward NBV decreases in MS patients with a low lesion load and the absence of disability, we suspect that the present results are not really in conflict with previous findings. Notably, the differences in the relative magnitude of decreases in NAA/Cr and NBV in our study suggest that decreases in NAA (which can result from axonal dysfunction, decreases in axonal density, and axonal loss), and decreases in NBV (which reflect a less pathologically specific tissue loss) do not always occur in parallel. Brain atrophy should be considered a later event that is not necessarily proportional to axonal injury. It follows that in vivo measures of total axonal injury and loss should be based on measurements of both decreases in brain volume and decreases of NAA density in remaining brain tissue.

By restricting our analysis to MS patients with a low volume of T2-W lesions, we sought evidence that the abnormalities in NAWM could occur independently of focal demyelinating lesions. As reported in a number of previous studies,4, 32, 49, 52, 58 decreases of NAA and MTr are more pronounced inside demyelinating lesions than in the NAWM of MS patients. However, the presence of significant decreases of NAA/Cr and MTr in our subgroup of patients in whom lesions occupied less than 0.2% of the total brain tissue (the patient subgroup with <=2 cm3 of T2-W MR imaging lesions) suggests that axonal and tissue injury in MS might accrue, at least in part, independently of focal cerebral demyelination. Since wallerian degeneration of axons traversing lesions is unlikely to account for much of the NAA decrease seen in these patients with very low lesion loads, the diffuse axonal abnormality must result from nonlesional abnormalities associated either with subtle myelin abnormality that is not visible on conventional MR imaging or with subtle axonal abnormality, possibly due to the indirect effects of inflammation.59 That diffuse decreases of NAA are to some extent reversible with immunomodulatory therapy60 is consistent with a role for inflammation in these decreases.

How can widespread axonal injury occur in the brains of MS patients without clinical evidence of disability? Experimental and functional MR imaging data may provide an answer. Neurons can function as dynamic electrogenic machines with electroresponsive properties that change in response to pathologic insults.61 However, in the initial disease stages, both adaptive cortical reorganization (by the "unmasking" of latent pathways)62 and ion channel redistribution63-64 can achieve complete functional recovery and cause neuronal degeneration to remain subclinical. Development of permanent disability occurs later, when a threshold of axonal loss is reached and compensatory resources of the central nervous system are exhausted.65-67 Thus, axonal injury does occur in MS, even in the absence of clinical disability, and can be detected and monitored by pathologically specific MR measures.

In conclusion, results of our study indicate that cerebral NAA/Cr and MTr values are diffusely decreased in brains of patients with early MS, minimal focal T2-W lesion volume, and no clinical evidence of disability. This finding suggests that axonal and/or tissue injury might be to some extent independent of focal cerebral demyelination and is probably initially well compensated for by brain plasticity. Decreases of total brain volume do not necessarily occur in parallel with decreases of NAA and, therefore, both NAA and brain atrophy should be assessed to determine the true total extent of axonal injury and loss.


AUTHOR INFORMATION
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Accepted for publication May 29, 2002.

Author contributions: Study concept and design (Drs De Stefano and Arnold, Mr Narayanan, and Ms Tartaglia); acquisition of data (Drs De Stefano, Mortilla, Bartolozzi, Guidi, and Arnold; Messrs Narayanan and Francis; and Ms Tartaglia); analysis and interpretation of data (Drs De Stefano, Smith, Federico, and Arnold and Messrs Narayanan and Francis); drafting of the manuscript (Drs De Stefano, Smith, and Federico and Messrs Narayanan and Francis); critical revision of the manuscript for important intellectual content (Mr Narayanan and Drs Mortilla, Bartolozzi, Guidi, and Arnold); statistical expertise (Drs De Stefano, Smith, and Bartolozzi and Mr Narayanan); administrative, technical, and material support (Messrs Narayanan and Francis and Drs Mortilla, Bartolozzi, and Federico); and study supervision (Dr Arnold).

This study was supported by grants from the Multiple Sclerosis Society of Canada (Toronto, Ontario) and the Medical Research Council of Canada (Ottawa, Ontario). Dr De Stefano was supported by a PAR (Progetto Ateneo di Ricerca) grant of the University of Siena. Dr Federico was supported by a grant from MURST (Ministero dell'Università e della Ricerca Scientifica e Tecnologica, Rome, Italy). Dr Arnold was supported by grants from the Multiple Sclerosis Society of Canada and the Medical Research Council of Canada.

Corresponding author and reprints: Nicola De Stefano, MD, Institute of Neurological Sciences, Viale Bracci 2, 53100, Siena, Italy (e-mail: destefano{at}unisi.it).

From the Institute of Neurological Sciences and NMR Centre, University of Siena, Siena, Italy (Drs De Stefano, Mortilla, and Federico); Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, Montreal, Quebec (Messrs Narayanan and Francis, Ms Tartaglia, and Dr Arnold); Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, England (Dr Smith); and Neurology Unit, Hospital of Empoli, Empoli, Italy (Drs Bartolozzi and Guidi).


REFERENCES
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1. Arnold DL, Matthews PM, Francis G, Antel J. Proton magnetic resonance spectroscopy of human brain in vivo in the evaluation of multiple sclerosis: assessment of the load of disease. Magn Reson Med. 1990;14:154-159. ISI | PUBMED
2. Davie CA, Hawkins CP, Barker GJ, et al. Serial proton magnetic resonance spectroscopy in acute multiple sclerosis lesions. Brain. 1994;117:49-58. FREE FULL TEXT
3. De Stefano N, Matthews PM, Antel JP, Preul M, Francis G, Arnold DL. Chemical pathology of acute demyelinating lesions and its correlation with disability. Ann Neurol. 1995;38:901-909. FULL TEXT | ISI | PUBMED
4. Narayana PA, Doyle TJ, Lai D, Wolinsky JS. Serial proton magnetic resonance spectroscopic imaging, contrast-enhanced magnetic resonance imaging, and quantitative lesion volumetry in multiple sclerosis. Ann Neurol. 1998;43:56-71. FULL TEXT | ISI | PUBMED
5. Gonen O, Catalaa I, Babb JS, et al. Total brain N-acetylaspartate: a new measure of disease load in MS. Neurology. 2000;54:15-19. FREE FULL TEXT
6. Ferguson B, Matyszak MK, Esiri MM, Perry VH. Axonal damage in acute multiple sclerosis lesions. Brain. 1997;120:393-399. FREE FULL TEXT
7. Trapp BD, Peterson J, Ransohoff RM, Rudick R, Mork S, Bo L. Axonal transection in the lesions of multiple sclerosis. N Engl J Med. 1998;338:278-285. FREE FULL TEXT
8. Silber E, Sharief MK. Axonal degeneration in the pathogenesis of multiple sclerosis. J Neurol Sci. 1999;170:11-18. FULL TEXT | ISI | PUBMED
9. De Stefano N, Matthews PM, Fu L, et al. Axonal damage correlates with disability in patients with relapsing-remitting multiple sclerosis: results of a longitudinal magnetic resonance spectroscopy study. Brain. 1998;121(pt 8):1469-1477.
10. Bjartmar C, Trapp BD. Axonal and neuronal degeneration in multiple sclerosis: mechanisms and functional consequences. Curr Opin Neurol. 2001;14:271-278. FULL TEXT | ISI | PUBMED
11. Waxman SG. Do "demyelinating" diseases involve more than myelin? Nat Med. 2000;6:738-739. FULL TEXT | ISI | PUBMED
12. Lightman S, McDonald WI, Bird AC, et al. Retinal venous sheathing in optic neuritis: its significance for the pathogenesis of multiple sclerosis. Brain. 1987;110(pt 2):405-414.
13. Youl BD, Turano G, Miller DH, et al. The pathophysiology of acute optic neuritis: an association of gadolinium leakage with clinical and electrophysiological deficits. Brain. 1991;114:2437-2450. FREE FULL TEXT
14. Rivera-Quinones C, McGavern D, Schmelzer JD, Hunter SF, Low PA, Rodriguez M. Absence of neurological deficits following extensive demyelination in a class I–deficient murine model of multiple sclerosis. Nat Med. 1998;4:187-193. FULL TEXT | ISI | PUBMED
15. Zhu B, Moore GR, Zwimpfer TJ, et al. Axonal cytoskeleton changes in experimental optic neuritis. Brain Res. 1999;824:204-217. FULL TEXT | ISI | PUBMED
16. Bitsch A, Schuchardt J, Bunkowski S, Kuhlmann T, Bruck W. Acute axonal injury in multiple sclerosis: correlation with demyelination and inflammation. Brain. 2000;123(pt 6):1174-1183.
17. Mews I, Bergmann M, Bunkowski S, Gullotta F, Bruck W. Oligodendrocyte and axon pathology in clinically silent multiple sclerosis lesions. Mult Scler. 1998;4(2):55-62.
18. Matthews PM, De Stefano N, Narayanan S, et al. Putting magnetic resonance spectroscopy studies in context: axonal damage and disability in multiple sclerosis. Semin Neurol. 1998;18:327-336. ISI | PUBMED
19. Simmons ML, Frondoza CG, Coyle JT. Immunocytochemical localization of N-acetyl-aspartate with monoclonal antibodies. Neuroscience. 1991;45:37-45. FULL TEXT | ISI | PUBMED
20. Bjartmar C, Kidd G, Mork S, Rudick R, Trapp BD. Neurological disability correlates with spinal cord axonal loss and reduced N-acetyl aspartate in chronic multiple sclerosis patients. Ann Neurol. 2000;48:893-901. FULL TEXT | ISI | PUBMED
21. van Waesberghe JH, Kamphorst W, De Groot CJ, et al. Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability. Ann Neurol. 1999;46:747-754. FULL TEXT | ISI | PUBMED
22. Rudick RA, Fisher E, Lee JC, Simon J, Jacobs L and the Multiple Sclerosis Collaborative Research Group. Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Neurology. 1999;53:1698-1704. FREE FULL TEXT
23. Filippi M, Rocca MA, Minicucci L, et al. Magnetization transfer imaging of patients with definite MS and negative conventional MRI. Neurology. 1999;52:845-848. FREE FULL TEXT
24. Brex PA, Jenkins R, Fox NC, et al. Detection of ventricular enlargement in patients at the earliest clinical stage of MS. Neurology. 2000;54:1689-1691. FREE FULL TEXT
25. Fox NC, Jenkins R, Leary SM, et al. Progressive cerebral atrophy in MS: a serial study using registered, volumetric MRI. Neurology. 2000;54:807-812. FREE FULL TEXT
26. De Stefano N, Narayanan S, Francis GS, et al. Evidence of axonal damage in the early stages of multiple sclerosis and its relevance to disability. Arch Neurol. 2001;58:65-70. FREE FULL TEXT
27. Poser CM, Paty DW, Scheinberg L, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol. 1983;13:227-231. FULL TEXT | ISI | PUBMED
28. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444-1452. FREE FULL TEXT
29. Pike GB, Glover GH, Hu BS, Enzmann DR. Pulsed magnetization transfer spin-echo MR imaging. J Magn Reson Imaging. 1993;3:531-539. ISI | PUBMED
30. De Stefano N, Matthews PM, Arnold DL. Reversible decreases in N-acetylaspartate after acute brain injury. Magn Reson Med. 1995;34:721-727. ISI | PUBMED
31. Haase A, Frahm J, Hanicke W, Matthaei D. 1H NMR chemical shift selective (CHESS) imaging. Phys Med Biol. 1985;30:341-344. FULL TEXT | ISI | PUBMED
32. Pike GB, De Stefano N, Narayanan S, Francis GS, Antel JP, Arnold DL. Combined magnetization transfer and proton spectroscopic imaging in the assessment of pathologic brain lesions in multiple sclerosis. AJNR Am J Neuroradiol. 1999;20:829-837. FREE FULL TEXT
33. Husted CA, Goodin DS, Hugg JW, et al. Biochemical alterations in multiple sclerosis lesions and normal-appearing white matter detected by in vivo 31P and 1H spectroscopic imaging. Ann Neurol. 1994;36:157-165. FULL TEXT | ISI | PUBMED
34. Pan JW, Hetherington HP, Vaughan JT, Mitchell G, Pohost GM, Whitaker JN. Evaluation of multiple sclerosis by 1H spectroscopic imaging at 4.1 T. Magn Reson Med. 1996;36:72-77. ISI | PUBMED
35. Davie CA, Barker GJ, Thompson AJ, Tofts PS, McDonald WI, Miller DH. 1H magnetic resonance spectroscopy of chronic cerebral white matter lesions and normal appearing white matter in multiple sclerosis. J Neurol Neurosurg Psychiatry. 1997;63:736-742. FREE FULL TEXT
36. Sarchielli P, Presciutti O, Pelliccioli GP, et al. Absolute quantification of brain metabolites by proton magnetic resonance spectroscopy in normal-appearing white matter of multiple sclerosis patients. Brain. 1999;122(pt 3):513-521.
37. van Walderveen MA, Barkhof F, Pouwels PJ, van SR, Polman CH, Castelijns JA. Neuronal damage in T1-hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopy. Ann Neurol. 1999;46:79-87. FULL TEXT | ISI | PUBMED
38. Davies SE, Newcombe J, Williams SR, McDonald WI, Clark JB. High resolution proton NMR spectroscopy of multiple sclerosis lesions. J Neurochem. 1995;64:742-748. ISI | PUBMED
39. Smith SM, De Stefano N, Jenkinson M, Matthews PM. Normalized accurate measurement of longitudinal brain change. J Comput Assist Tomogr. 2001;25:466-475. FULL TEXT | ISI | PUBMED
40. Smith SM, Zhang Y, Jenkinson M, et al. Accurate, robust and automated longitudinal and cross-sectional brain change analysis. Neuroimage. In press.
41. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm [abstract]. IEEE Trans Biomed Imag. 2001;20:45-57.
42. Moffett JR, Namboodiri MAA, Cangro CB, Neale JH. Immunohistochemical localization of N-acetylaspartate in rat brain. Neuroreport. 1991;2:131-134. ISI | PUBMED
43. Nakano M, Ueda H, Li JY, Matsumoto M, Yanagihara T. Measurement of regional N-acetylaspartate after transient global ischemia in gerbils with and without ischemic tolerance: an index of neuronal survival. Ann Neurol. 1998;44:334-340. FULL TEXT | ISI | PUBMED
44. Austin SJ, Connelly A, Gadian DG, Benton JS, Brett EM. Localized 1H NMR spectroscopy in Canavan's disease: a report of two cases. Magn Reson Med. 1991;19:439-445. ISI | PUBMED
45. Martin E, Capone A, Schneider J, Hennig J, Thiel T. Absence of N-acetylaspartate in the human brain: impact on neurospectroscopy? Ann Neurol. 2001;49:518-521. FULL TEXT | ISI | PUBMED
46. Brex PA, Gomez-Anson B, Parker GJ, et al. Proton MR spectroscopy in clinically isolated syndromes suggestive of multiple sclerosis. J Neurol Sci. 1999;166:16-22. FULL TEXT | ISI | PUBMED
47. Dousset V, Grossman RI, Ramer KN, et al. Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. Radiology. 1992;182:483-491. [published correction appears in Radiology. 1992;183:878]. PUBMED
48. McGowan JC, Filippi M, Campi A, Grossman RI. Magnetisation transfer imaging: theory and application to multiple sclerosis. J Neurol Neurosurg Psychiatry. 1998;64(suppl 1):S66-S69.
49. Filippi M, Campi A, Dousset V, et al. A magnetization transfer imaging study of normal-appearing white matter in multiple sclerosis. Neurology. 1995;45(3, pt 1):478-482.
50. Filippi M, Tortorella C, Bozzali M. Normal-appearing white matter changes in multiple sclerosis: the contribution of magnetic resonance techniques. Mult Scler. 1999;5:273-282. FREE FULL TEXT
51. Filippi M, Rocca MA, Martino G, Horsfield MA, Comi G. Magnetization transfer changes in the normal appearing white matter precede the appearance of enhancing lesions in patients with multiple sclerosis. Ann Neurol. 1998;43:809-814. FULL TEXT | ISI | PUBMED
52. Goodkin DE, Rooney WD, Sloan R, et al. A serial study of new MS lesions and the white matter from which they arise. Neurology. 1998;51:1689-1697. FREE FULL TEXT
53. Pike GB, De Stefano N, Narayanan S, et al. Multiple sclerosis: magnetization transfer MR imaging of white matter before lesion appearance on T2-weighted images. Radiology. 2000;215:824-830. FREE FULL TEXT
54. Losseff NA, Wang L, Lai HM, et al. Progressive cerebral atrophy in multiple sclerosis: a serial MRI study. Brain. 1996;119(pt 6):2009-2019.
55. Simon JH, Jacobs LD, Campion MK, et al and the Multiple Sclerosis Collaborative Research Group (MSCRG). A longitudinal study of brain atrophy in relapsing multiple sclerosis. Neurology. 1999;53:139-148. FREE FULL TEXT
56. Liu C, Edwards S, Gong Q, Roberts N, Blumhardt LD. Three dimensional MRI estimates of brain and spinal cord atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry. 1999;66:323-330. FREE FULL TEXT
57. Luks TL, Goodkin DE, Nelson SJ, et al. A longitudinal study of ventricular volume in early relapsing-remitting multiple sclerosis. Mult Scler. 2000;6:332-337. FREE FULL TEXT
58. Fu L, Matthews PM, De Stefano N, et al. Imaging axonal damage of normal-appearing white matter in multiple sclerosis. Brain. 1998;121:103-113. FREE FULL TEXT
59. Hohlfeld R. Biotechnological agents for the immunotherapy of multiple sclerosis: principles, problems and perspectives. Brain. 1997;120(pt 5):865-916.
60. Narayanan S, De Stefano N, Francis GS, et al. Restoration of cerebral axonal function in multiple sclerosis patients treated with interferon beta-1b. J Neurol. 2001;248:979-986. FULL TEXT | ISI | PUBMED
61. Waxman SG. The neuron as a dynamic electrogenic machine: modulation of sodium-channel expression as a basis for functional plasticity in neurons. Philos Trans R Soc Lond B Biol Sci. 2000;355:199-213. FREE FULL TEXT
62. Waxman SG. Molecular remodeling of neurons in multiple sclerosis: what we know, and what we must ask about brain plasticity in demyelinating diseases. Adv Neurol. 1997;73:109-120. ISI | PUBMED
63. Moll C, Mourre C, Lazdunski M, Ulrich J. Increase of sodium channels in demyelinated lesions of multiple sclerosis. Brain Res. 1991;556:311-316. FULL TEXT | ISI | PUBMED
64. Black JA, Felts P, Smith KJ, Kocsis JD, Waxman SG. Distribution of sodium channels in chronically demyelinated spinal cord axons: immuno-ultrastructural localization and electrophysiological observations. Brain Res. 1991;544:59-70. FULL TEXT | ISI | PUBMED
65. Trapp BD, Bo L, Mork S, Chang A. Pathogenesis of tissue injury in MS lesions. J Neuroimmunol. 1999;98:49-56. FULL TEXT | ISI | PUBMED
66. Lee M, Reddy H, Johansen-Berg H, et al. The motor cortex shows adaptive functional changes to brain injury from multiple sclerosis. Ann Neurol. 2000;47:606-613. FULL TEXT | ISI | PUBMED
67. Reddy H, Narayanan S, Arnoutelis R, et al. Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis. Brain. 2000;123(pt 11):2314-2320.


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