Evidence for widespread movement-associated functional MRI changes in patients with PPMS
Citation Manager Formats
Make Comment
See Comments

Abstract
Background: Previous work has suggested that functional reorganization of cortical motor areas might have a role in limiting the motor deficits in patients with MS.
Objective: To test whether movement-associated cortical changes in MS might extend beyond the “classic” motor areas and involve sites for multimodal integration.
Methods: fMRI was used to assess patterns of brain activations associated with 3 different motor tasks in 30 right-handed patients with primary progressive MS (PPMS) and variable degrees of motor impairment, which were compared with those from 15 right-handed, sex- and age-matched control subjects.
Results: Compared with control subjects, patients with MS showed increased activation of brain regions within both traditional motor planning and execution regions (including the supplementary motor area and the cingulate motor area), the insula (a region implicated in sensory processing), and several multimodal cortical regions in the temporal, parietal, and occipital lobes. In patients, the extent of the fMRI activations was strongly correlated with MR lesion burden (r ranging from 0.70 to 0.86, p < 0.001).
Conclusions: This study shows that movement-associated cortical activation in patients with PPMS is widely distributed and also involves multimodal “nonmotor” cortical networks. It also suggests that adaptive cortical reorganization might be one of the mechanisms limiting the clinical impact of MS in the progressive phases of the disease.
Reparative mechanisms, including removal of inflammatory mediators, remyelination, redistribution of voltage-gated sodium channels, and recovery from sublethal axonal injury,1-3⇓⇓ are known to occur in MS and are likely to limit the clinical impact of MS-related tissue damage. fMRI studies have suggested that also cortical reorganization has the potential to limit the clinical impact of injury from MS.4-7⇓⇓⇓ Although a rather distributed, interacting cortical network is likely to be involved in movement processing,8-10⇓⇓ all previous studies assessing movement-associated fMRI changes in patients with MS focused narrowly on motor areas4-6⇓⇓ and did not investigate whether a more widespread cortical reorganization, involving networks for sensorimotor and multimodal integration, occurs in response to white matter MS damage.
Against this background, we postulated that cortical functional reorganization in patients with MS is likely to be more distributed than previously shown and that the functional recruitment of “nonmotor” areas might also have a role in limiting the clinical impact of MS pathology. To test this hypothesis, we used fMRI and a general analysis method to determine the patterns of activations following three different motor tasks between patients with primary progressive MS (PPMS) and healthy control subjects. In addition, we correlated the extent of brain activations with lesion burden on T2-weighted MR scans. We selected patients with PPMS and asymmetric upper/lower and right/left limb motor involvement since this offers the unique opportunity to assess the functional correlates of clinical impairment in the absence of confounding factors, such as the presence of other clinical deficits, which might impact motor functioning.11
Patients and methods.
Patients.
We studied 30 right-handed patients with definite PPMS.11 These patients were carefully selected from a large group of PPMS patients attending three MS Outpatient Clinics to exclude patients with clinical evidence of cerebellar or sensory impairments associated with the deficits of the pyramidal system. There were 18 men and 12 women; their mean age was 50.4 years (range 34 to 68 years), median disease duration was 10 years (range 2 to 28 years), and median Expanded Disability Status Scale (EDSS) score12 was 5.5 (range 2.0 to 8.0). Patients were divided into 2 groups of 15 subjects each based on the preferential side of their motor involvement. The first group of patients (9 men and 6 women; mean age 48.9 years, range 35 to 55 years; median disease duration 12 years, range 5 to 25 years; median EDSS score 6.0, range 4.5 to 8.0) had severe paresis of the right lower limb. In four of these patients, pyramidal signs at the level of the right upper limb were also found. Five of them had also pyramidal signs of the left lower limb, whereas none of them had clinical impairment of the left upper limb. This group of patients will be referred as R-PPMS. The second group (9 men and 6 women; mean age 51.8 years, range 34 to 68 years; median disease duration 9 years, range 2 to 28 years; median EDSS score 4.5, range 2.0 to 6.0) had a mild to severe paresis of the left lower limb. In four of these patients, pyramidal signs at the level of the left upper limb were also found. None of them had any neurologic symptom or sign at the level of the right limbs. This group of patients will be referred as L-PPMS. Patients with R-PPMS had higher EDSS scores than L-PPMS patients (p < 0.001), whereas the two groups did not differ in terms of age, sex, or disease duration. Fifteen right-handed healthy volunteers with no previous history of neurologic dysfunction and a normal neurologic exam (8 men and 7 women; mean age 48.3 years, range 34 to 62 years) served as control subjects. All subjects were assessed clinically by a single neurologist who was unaware of the MRI and fMRI results. Local ethical committee approval and written informed consent from all subjects were obtained prior to study initiation.
Functional assessment.
Motor functional assessment was performed for all the subjects at the time of MRI acquisition. For the right upper limbs, the nine-hole peg test and the maximum finger-tapping frequency were used.13 The maximum finger-tapping rate was observed for two 30-second trial periods outside the magnet, and the mean frequency to the nearest 0.5 Hz entered the analysis. Time to complete the nine-hole peg test and finger-tapping rate were similar between patients and control subjects (table). For the right lower limbs, the maximum foot-tapping frequency was used.6 While foot-tapping rates were similar between L-PPMS patients and control subjects, R-PPMS patients had slower (p < 0.001) foot-tapping speeds than the previous two groups (see the table).
Functional assessment of right limbs from patients with PPMS and healthy volunteer subjects
Experimental design.
With use of a block design (ABAB), where epochs of activation were alternated with epochs of rest, all the subjects were scanned while performing 3 different tasks, split into 3 different runs of 60 measurements each. The first task (Task 1) consisted of repetitive flexion–extension of the last four fingers of the right hand moving together. The second task (Task 2) consisted of repetitive flexion–extension of the right foot. The third task (Task 3) consisted of the performance of the first two tasks simultaneously in a phasic manner. The order of experiments was random. All tasks were paced by a metronome at 1-Hz frequency. Patients and control subjects were trained before performing the experiments. Subjects were instructed to keep their eyes closed during fMRI acquisition and were monitored visually during scanning to ensure accurate task performance and to assess for additional (e.g., mirror) movements. For clinically unimpaired limbs, tasks were performed equally well by all subjects.
fMRI acquisition.
Brain MR scans were obtained on a magnet operating at 1.5 T (Vision; Siemens, Erlangen, Germany). Sagittal T1-weighted images were obtained to define the anterior–posterior commissural (AC-PC) plane. FMR images were acquired using a T2*-weighted echo planar imaging sequence (repetition time [TR] = 96 milliseconds, echo time [TE] = 66 milliseconds, flip angle = 90°, matrix size = 128 × 128, field of view [FOV] = 256 × 256 mm, interscan interval = 5.5 seconds). Twenty-four axial slices, parallel to the AC-PC plane, with a thickness of 5 mm, covering the whole brain, were acquired during each measurement. Shimming was performed for the entire brain using an autoshim routine, which yielded satisfactory magnetic field homogeneity.
Structural MRI acquisition and analysis.
With the same magnet, a dual-echo turbo spin echo sequence (TR = 3,300 milliseconds, first echo TE = 16 milliseconds, second echo TE = 98 milliseconds, echo train length = 5, slice thickness = 5 mm, FOV = 192 × 256 mm, matrix size = 190 × 256) was also acquired from all the subjects. Volumes of lesions seen on T2-weighted scans were measured by an experienced observer, unaware of the fMRI results, using a semiautomated segmentation technique based on local thresholding.14
fMRI analysis.
fMRI data were analyzed using the statistical parametric mapping (SPM99) software.15 Prior to statistical analysis, all images were realigned to the first one to correct for subject motion, spatially normalized into a stereotaxic space,16 and smoothed with a 10-mm, three-dimensional Gaussian filter. Changes in blood oxygen level-dependent (BOLD) contrast associated with the performance of the different motor tasks were assessed on a pixel-by-pixel basis, using the general linear model15 and the theory of Gaussian fields.17 Specific effects were tested by applying appropriate linear contrasts. Significant hemodynamic changes for each contrast were assessed using t statistical parametric maps. This approach, known as fixed effect analysis, allows only assessment of the mean effect for individual subjects; the results cannot be generalized to the whole population studied. The comparisons between groups using such an approach are unsatisfactory because group differences may be heavily affected by inter-patient variability rather than reflect systematic differences between populations. Therefore, after the first-level analysis, a second-level analysis, known as random-effect analysis,18 was also performed. In other words, this two-stage approach consists in collapsing data for each subject into a single image parameterizing the effect of interest (within-subject modeling) and assessing these images across subjects using a simple between-subject model. The quantity that entered the statistical analysis was the height of the activated clusters.15,17⇓ This is a measure of the magnitude of the BOLD changes between activation and rest on a pixel-by-pixel basis. A one-sample t-test was used to assess the activations within individual groups when performing each of the three tasks. Analysis of variance and two-sample t-test were used for comparisons between groups. For Task 1, using the same approach and linear regression analysis,18 we also evaluated the correlation between BOLD changes throughout the entire brain during task performance and T2 lesion volume. We report activations below a threshold of p < 0.05 corrected for multiple comparisons.
Results.
Conventional MRI.
All healthy volunteers had normal brain MR dual-echo scans. The mean T2 lesion volumes were 21.8 mL (range 1.1 to 75.7 mL) for the whole sample of patients with PPMS, 23.2 mL (range 4.9 to 75.7 mL) for patients with R-PPMS, and 20.3 mL (range 1.1 to 41.5 mL) for patients with L-PPMS (the difference in T2 lesion volumes between patients with R-PPMS and those with L-PPMS was not significant). T2 lesions in the motor pathways contralateral to the clinical deficits were found in six patients with R-PPMS and in four of those with L-PPMS.
Task-associated fMRI activations within individual subject groups.
The brain areas with significant activations detected while performing each of the three tasks in healthy volunteers and in patients with R-PPMS and L-PPMS, along with the corresponding Talairach coordinates of the main foci of activation and t values, are reported in tables E2 through E4 (which can be found on the Neurology Web site at www.neurology.org).
Contrasts between individual subject groups.
Task 1.
Compared with the overall PPMS sample, healthy volunteers showed more significant activation in the homolateral cerebellar hemisphere (figure 1). However, this difference was not found when comparing healthy volunteers with R-PPMS patients taken in isolation. In contrast, PPMS patients showed more significant activation (not evident in healthy volunteers at the chosen threshold) bilaterally in the superior temporal gyrus (STG) and the middle frontal gyrus (MFG) and contralaterally in the postcentral gyrus. Considering the two PPMS patient groups separately, R-PPMS patients, who were only mildly impaired on this task, showed an anterior displacement of the contralateral supplementary motor area (SMA) when compared with healthy volunteers (Talairach coordinates were −2, −22, 48 vs −6, −18, 48). This resulted in a more significant activation of the displaced contralateral SMA in R-PPMS when compared with healthy control subjects (figure 2) and patients with L-PPMS. Patients with L-PPMS showed more significant activation (not seen in the other two groups at the threshold chosen) in the homolateral insula.
Figure 1. Relative activation of the homolateral cerebellar hemisphere in healthy subjects vs all patients with primary progressive MS while performing Task 1 (random effect analysis, between-group comparison).
Figure 2. Relative activation of the contralateral supplementary motor area in patients with primary progressive MS affected on their right sides vs control subjects while performing Task 1 (random effect analysis, between-group comparison).
Task 2.
Healthy volunteers showed more significant activation in the homolateral cerebellar hemisphere and basal ganglia than PPMS patients. In normal volunteers, additional clusters of activation were identified bilaterally in the precuneus and homolaterally in the middle temporal gyrus (MTG). In PPMS patients, more significant activations were located bilaterally in the MFG and the STG (these latter clusters of activation were more prominent in R-PPMS). Although homolateral cingulate motor area (CMA) activation was not seen at within-group analysis because of the conservative threshold used, the following t values were found when applying an uncorrected p value of 0.001: healthy volunteers = 5.00, R-PPMS = 8.22, and L-PPMS = 5.77. As a consequence, R-PPMS patients, who were most impaired in performance of this task, showed relatively increased activation in the homolateral CMA when compared with healthy volunteers (figure 3) and with patients with L-PPMS. R-PPMS also had more significant activation of the homolateral postcentral gyrus relative to either of the other two groups. In L-PPMS patients, additional areas of activation were located at the level of the contralateral cerebellar hemisphere and inferior frontal gyrus (IFG). In these patients, more significant activation of the contralateral SMA was also found when compared with the other two groups.
Figure 3. Relative activation of the homolateral cingulate motor area in patients with primary progressive MS affected on their right sides vs control subjects while performing Task 2 (random effect analysis, between-group comparison). (A) Sagittal view; (B) coronal view.
Task 3.
Healthy volunteers had more significant activation in the homolateral cerebellar hemisphere, the homolateral IFG, and the contralateral postcentral gyrus than PPMS patients, while PPMS patients showed more significant activation in the homolateral thalamus (activation of the homolateral thalamus was seen at within-group analysis in R-PPMS [t = 3.73] and L-PPMS [t = 4.11] when using an uncorrected p value of 0.001; this activation was not seen in healthy volunteers when using this lowered threshold), the calcarine sulcus, and MFG bilaterally. In R-PPMS patients, more significant homolateral CMA and primary sensorimotor cortex (SMC) activation was found than for the other two groups. In L-PPMS patients, more significant activation was found in the contralateral cerebellar hemisphere and MTG and at the level of the homolateral insula than for the other groups.
Correlation between fMRI activation patterns and T2 lesion load.
Correlations between lesion burden and activation associated with right-hand flexion–extension (Task 1) were explored. In the R-PPMS group, which included patients who were functionally impaired, T2 lesion load was correlated with relative activation in the homolateral (r = 0.86, p < 0.001) and contralateral (r = 0.77, p < 0.001) postcentral gyri, homolateral (r = 0.84, p < 0.001) and contralateral (r = 0.81, p < 0.001) upper bank of Sylvian fissure, and contralateral calcarine sulcus (r = 0.77, p < 0.001). Even in the L-PPMS group, who showed no behavioral impairments for Task 1, there were significant changes in activation patterns with lesion load. For this group, the T2 lesion load was correlated with activation in the primary SMC bilaterally (r = 0.76, p < 0.001) (figure 4) and in the contralateral middle occipital gyrus (r = 0.70, p < 0.001).
Figure 4. (A) Relative activations of the homolateral primary sensorimotor cortex (SMC) and contralateral SMC and supplementary motor area (SMA) in patients with primary progressive MS affected on their left sides vs control subjects while performing Task 1 (random effect analysis, between-group comparison). (B) The correlations between homolateral primary SMC activity and T2 lesion load are shown. This correlation remained significant even after removing the two “outliers” (r = 0.70, p < 0.001).
Discussion.
As previously shown for other neurologic conditions such as stroke19-23⇓⇓⇓⇓ and tumors,20,22-24⇓⇓⇓ recent fMRI work in MS has suggested that cortical reorganization may contribute to limiting the clinical impact of brain injury from MS.4-6⇓⇓ However, the studies of MS to date4-6⇓⇓ limited their analysis to cortical motor areas (namely, SMC and SMA) from patients with either relapsing–remitting or secondary progressive MS following a simple hand movement task. We hypothesized that this may underestimate the nature and extent of the potentially adaptive cortical responses associated with even simple movements, as there is abundant evidence that motor planning and execution are based on a distributed, interacting cortical network, which extends well beyond “classic” motor areas.8,25-27⇓⇓⇓
This study shows that cortical functional changes occur in patients with PPMS and that they involve widespread networks usually considered to function in motor, sensory, and multimodal integration processing. Such widespread functional changes might explain why segmentation of the lesion burden in specific brain functional systems only slightly improves correlations with corresponding motor28 or cognitive29 impairments over those found with total brain lesion burden. Consistent with the hypothesis that cortical functional reorganization in MS is an adaptive phenomenon,4,5⇓ our results demonstrate that, at least for some of the activated cortical areas, there is a strong correlation between the extent of the fMRI activation changes and the MRI lesion burden.
The pathology of MS is diffuse, with multifocal lesions and widely distributed changes in the white matter appearing normal on conventional T2-weighted images.30-32⇓⇓ Previous work has shown that patterns of sensorimotor cortex activation with hand movements are altered in direct proportion to an MR spectroscopic measure of axonal pathology.5 Results here also show that the pattern of cortical activation of patients with PPMS is different from that of normal control subjects even when performing motor tasks with clinically unaffected limbs. These observations suggest that changes in brain function may be induced by pathology before being clinically manifest.
In agreement with others,4,5⇓ we found increased SMA activation in PPMS patients. This was particularly true for patients with clinically unaffected limbs (right upper limb in R-PPMS patients and right upper and lower limbs in L-PPMS patients). Since efferents from the SMA project directly to the brainstem and the cervical cord, increased SMA activation may represent recruitment of motor pathways that can function in parallel with the injured contralateral corticospinal tract.33 The patients also showed increased CMA activation, a finding in normal subjects that also is related to presentation of new motor tasks and perhaps a reflection of relative task difficulty.34-36⇓⇓ However, contrary to the previous fMRI studies in MS,4,5⇓ we did not find an increased activation of the ipsilateral SMC in patients with PPMS. Since previous studies were based mainly on patients with early or mildly disabling relapsing–remitting MS, we speculate that the more widespread cortical changes we found in PPMS could reflect the consequences of failure of other mechanisms (such as increased recruitment of ipsilateral SMC) due to accumulating diffuse disease injury.
The most novel and intriguing finding of this study is the demonstration of an increased activation of “nonmotor” areas with simple motor tasks in patients with PPMS. These areas include the insula and several other areas located in the frontal, temporal, parietal, and occipital lobes. There is evidence that the insula is a multimodal convergence area27 connected to several sensorimotor areas including the primary SMC and the SMA.25,27⇓ This suggests that sites for multimodal integration, which are not usually activated with a simple motor task, might be recruited to maintain functional capacity in response to tissue damage. That cortical functional reorganization can be a very widespread phenomenon in PPMS is demonstrated by the activation of several sensory regions, including visual cortex during the execution of Task 3. Visual–sensory interactions are known to occur in humans26,37⇓ and may be enhanced in PPMS patients, perhaps in proportion to the degree of disability. This might be due to the patients’ perception of this task as very complex, and as a consequence, this might have resulted in the recruitment of additional cortical areas that might be activated in normal individuals when actually performing such complex motor tasks.38
An area located in the homolateral cerebellar hemisphere was consistently more activated in healthy volunteers than in the overall sample of patients with PPMS during the performance of all the three different experimental tasks. This region roughly corresponds to that of the dentate nucleus, which exerts facilitatory activity on the motor circuitry.39,40⇓ As the patients did not have sensory impairments, the differences are unlikely to arise from changes in afferent feedback but could arise from altered descending input as appears to occur with cerebellar diaschisis in stroke patients. It is not possible to distinguish easily between decreased activation due to impaired function or reduced activation as a consequence of remote damage.
We decided to assess fMRI changes in PPMS for several reasons. First, PPMS usually affects one functional system (e.g., the pyramidal functional system) much more severely than others (e.g., the somatosensory functional system).11,41⇓ This allowed us to select patients with clinically unaffected motor limb functioning, thus improving the interpretability of fMRI results. Second, the clinical manifestations of the disease may vary dramatically between the four limbs of the same patient, thus providing a sort of “internal control” that minimizes the influence of intersubject variability. Third, brain inflammation is much less evident in patients with PPMS than in all the other MS phenotypes both pathologically42 and radiologically.43,44⇓ This is an important aspect, when considering that fMRI provides information about neuronal activity by assessing hemodynamic responses, which in turn can be theoretically altered by inflammation via changes of blood flow and blood volume.45 These considerations are valid also for our patient cohort, which had a higher T2 lesion burden than reported in previous studies of patients with PPMS.45,44⇓ This discrepancy with previous data is the result of the fact that in order to minimize the risk of misdiagnosis,46 we selected only patients with definite PPMS on the basis of a recently published set of criteria (which is driven mainly by the number of T2-visible lesions).11 Nevertheless, a T2 lesion is not per se a marker of presently ongoing inflammation, and the MRI lesion burden of our patients with PPMS is still much lower than that reported for patients with secondary progressive MS and similar degrees of disability.47
Acknowledgments
Supported by a grant from the Italian Ministry of Health (contract no. ICS 030.5/RF00.79) and a grant from the Armenise–Harvard Foundation.
Footnotes
-
Additional material related to this article can be found on the Neurology Web site. Go to www.neurology.org and scroll down the Table of Contents for the March 26 issue to find the title link for this article.
- Received July 26, 2001.
- Accepted December 6, 2001.
References
- ↵
Lassmann H, Bruck W, Lucchinetti C, Rodriguez M. Remyelination in multiple sclerosis. Mult Scler . 1997; 3: 133–136.
- ↵
- ↵
- ↵
- ↵
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: 2314–2320.
- ↵
Reddy H, Narayanan S, Matthews PM, et al. Relating axonal injury to functional recovery in MS. Neurology . 2000; 54: 236–239.
- ↵
Werring DJ, Bullmore ET, Toosy AT, et al. Recovery from optic neuritis is associated with a change in the distribution of cerebral response to visual stimulation: a functional magnetic resonance imaging study. J Neurol Neurosurg Psychiatry . 2000; 68: 441–449.
- ↵
Mesulam MM. From sensation to cognition. Brain . 1998; 121: 1013–1052.
- ↵
Fink GR, Frackowiak RS, Pietrzyk U, Passingham RE. Multiple nonprimary motor areas in the human cortex. J Neurophysiol . 1997; 77: 2164–2174.
- ↵
Jacobs KM, Donoghue JP. Reshaping the cortical motor map by unmasking latent intracortical connections. Science . 1991; 251: 944–947.
- ↵
- ↵
Kurtzke JF. Rating neurological impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology . 1983; 33: 1444–1452.
- ↵
Herndon RM. Handbook of neurologic rating scales. New York: Demos Vermande, 1997.
- ↵
Grimaud J, Lai M, Thorpe J, et al. Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques. Magn Res Imag . 1996; 14: 495–505.
- ↵
- ↵
Talairach J, Tournoux P. Co-planar steroetaxic atlas of the human brain. New York: Thieme Medical, 1988.
- ↵
- ↵
- ↵
Cao Y, D’Olhaberriague L, Vikingstad EM, Levine SR, Welch KM. Pilot study of functional MRI to assess cerebral activation of motor function after poststroke hemiparesis. Stroke . 1998; 29: 112–122.
- ↵
- ↵
Cramer SC, Nelles G, Benson RR, et al. A functional MRI study of subjects recovered from hemiparetic stroke. Stroke . 1997; 28: 2518–2527.
- ↵
- ↵
Weiller C, Chollet F, Friston KJ, et al. Functional reorganization of the brain in recovery from striatocapsular infarction in man. Ann Neurol . 1992; 3: 463–472.
- ↵
- ↵
- ↵
- ↵
Mesulam MM, Mufson EJ. The insula of reil in man and monkey: architectonics, connectivity, and function. In: Peters A, Jones EG, eds. Cerebral cortex: association and auditory cortices. New York: Plenum Press, 1985: 179–226.
- ↵
Riahi F, Zijdenbos A, Narayanan S, et al. Improved correlation between scores on the Expanded Disability Status Scale and cerebral lesion load in relapsing–remitting multiple sclerosis. Results of the application of new imaging methods. Brain . 1998; 121: 1305–1312.
- ↵
Rovaris M, Filippi M, Falautano M, et al. Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis. Neurology . 1998; 50: 1601–1608.
- ↵
Filippi M, Iannucci G, Tortorella C, et al. Comparison of MS clinical phenotypes using conventional and magnetization transfer MRI. Neurology . 1999; 52: 588–594.
- ↵
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.
- ↵
Tortorella C, Viti B, Bozzali M, et al. A magnetization transfer histogram study of normal-appearing brain tissue in MS. Neurology . 2000; 54: 186–193.
- ↵
- ↵
Rao SM, Binder JR, Bandettini PA, et al. Functional magnetic resonance imaging of complex human movements. Neurology . 1993; 43: 2311–2318.
- ↵
Paus T, Petrides M, Evans AC, Meyer E. Role of the human anterior cingulate cortex in the control of oculomotor, manual, and speech responses: a positron emission tomography study. J Neurophysiol . 1993; 70: 453–469.
- ↵
- ↵
de Gelder B. Neuroscience. More to seeing than meets the eye. Science . 2000; 289: 1148–1149.
- ↵
- ↵
Milak MS, Shimansky Y, Bracha V, Bloedel JR. Effects of inactivating individual cerebellar nuclei on the performance and retention of an operantly conditioned forelimb movement. J Neurophysiol 1997;78:939–959.
- ↵
van Mier H, Tempel LW, Perlmutter JS, et al. Changes in brain activity during motor learning measured with PET: effects of hand of performance and practice. J Neurophysiol . 1998; 80: 2177–2199.
- ↵
Bashir K, Whitaker JN. Clinical and laboratory features of primary progressive and secondary progressive MS. Neurology . 1999; 53: 765–771.
- ↵
Revesz T, Kidd D, Thompson AJ, et al. A comparison of the pathology of primary and secondary progressive multiple sclerosis. Brain . 1994; 117: 759–765.
- ↵
Kidd D, Thorpe JW, Kendall BE, et al. MRI dynamics of brain and spinal cord in progressive multiple sclerosis. J Neurol Neurosurg Psychiatry . 1996; 60: 15–19.
- ↵
- ↵
Tracey I, Hamberg LM, Guimaraes AR, et al. Increased cerebral blood volume in HIV-positive patients detected by functional MRI. Neurology . 1998; 50: 1821–1826.
- ↵
Thompson AJ, Polman CH, Miller DH, et al. Primary progressive multiple sclerosis. Brain . 1997; 120: 1085–1096.
- ↵
Rovaris M, Bozzali M, Santuccio G, et al. In vivo assessment of the brain and cervical cord pathology of patients with primary progressive multiple sclerosis. Brain . 2001; 124: 2540—2549.
Disputes & Debates: Rapid online correspondence
REQUIREMENTS
If you are uploading a letter concerning an article:
You must have updated your disclosures within six months: http://submit.neurology.org
Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.
If you are responding to a comment that was written about an article you originally authored:
You (and co-authors) do not need to fill out forms or check disclosures as author forms are still valid
and apply to letter.
Submission specifications:
- Submissions must be < 200 words with < 5 references. Reference 1 must be the article on which you are commenting.
- Submissions should not have more than 5 authors. (Exception: original author replies can include all original authors of the article)
- Submit only on articles published within 6 months of issue date.
- Do not be redundant. Read any comments already posted on the article prior to submission.
- Submitted comments are subject to editing and editor review prior to posting.