Abstract
Primary progressive multiple sclerosis (PPMS) is characterized by a steady progression of irreversible disability from the onset of the disease. Although magnetic resonance imaging (MRI) is a valuable tool to quantify the disease burden in the brain and spinal cord of patients with MS, measures derived from conventional MRI, including T2-visible lesions, gadolinium-enhancing lesions and atrophy, are correlated only weakly with the clinical manifestations of PPMS. On the contrary, advanced MRI techniques are contributing significantly to the understanding of the mechanisms underlying the irreversible accumulation of disability in PPMS patients. Data from quantitative MRI studies suggest that the extent and topography of “diffuse” damage in different central nervous system (CNS) compartments (i.e. normal-appearing brain white matter and grey matter and the spinal cord) is associated with the severity of disability in PPMS and can predict subsequent medium-term disease evolution. Functional MRI studies have shown that the impairment of the adaptive capacity of the cortex to limit the clinical consequences of structural CNS damage is yet another factor contributing to the manifestations of this condition.
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Introduction
The clinical and magnetic resonance imaging (MRI) characteristics of patients with primary progressive multiple sclerosis (PPMS) are different from those of patients with relapsing-remitting (RR) MS and secondary progressive (SP) MS [48, 74]. Indeed, despite the irreversible accumulation of neurological disability, the majority of PPMS patients show a relatively low lesion activity and burden as detected on T2-weighted, T1-weighted, and gadolinium-enhanced scans of the brain [48, 74].
The application of advanced MR techniques has provided important insights into the pathobiology of MS [5]. These techniques, which include magnetization transfer (MT) MRI, diffusion tensor (DT) MRI, and proton MR spectroscopy (1H-MRS), allow quantitative information on MS-related tissue damage to be obtained with a higher pathological specificity for the most destructive aspects of the disease (i.e. demyelination and neuroaxonal loss) than conventional MRI [5]. In addition, functional MRI (fMRI) is contributing to the definition of the role of cortical reorganization in limiting the clinical consequences of MS tissue damage [29].
After a brief description of neuropathological studies and a concise summary of conventional MRI findings in PPMS, this paper provides an up to date review of the major results of quantitative structural and fMRI studies in these patients and discusses how such MR techniques are contributing to the achievement of a more complete picture of the factors associated with the development of “fixed” disability in this condition. Although only a minority of PPMS patients experience relapses during the course of the disease (progressive-relapsing or transitional progressive MS) [22], this patient subgroup has not yet been characterized using these advanced techniques. As a consequence, the imaging features in these patients are not discussed.
Pathology
Similar to the relapsing form of the disease, focal inflammatory demyelinating lesions with variable axonal damage are among the main pathological features of patients with progressive MS (PPMS and SPMS). However, in patients with progressive MS most focal white matter (WM) lesions are inactive demyelinated plaques or have a slow expansion at the lesion border, characterized by moderate inflammatory infiltrates and profound microglial activation [11]. Recently, Bramow et al. [12] have demonstrated higher remyelination capacity in the brain of patients with PPMS than in those with SPMS, whereas spinal cord remyelination capacity did not differ between the two groups.
Diffuse abnormalities of the normal-appearing (NA) WM outside lesions have been described in patients with progressive MS. They are characterized by diffuse inflammatory processes and generalized activation of microglia, associated with axonal injury and destruction, followed by secondary demyelination [41]. Importantly, the extent of global injury to the NAWM is not related to the number, size or location of focal lesions in the brain [41] and the spinal cord [28], suggesting that diffuse NAWM axonal injury occurs partially independently from focal plaques.
Extensive cortical demyelination (mainly represented by subpial demyelination), which in extreme cases can affect more than 60% of the cortical area, is another hallmark of the progressive forms of the disease [41].
Conventional MRI
Lesions
In PPMS, the low level of MRI-detectable disease activity and burden in the brain, in terms of T2-visible lesion load and gadolinium-enhancing lesions, is in contrast to the severity of the clinical manifestations and the steady progression of the disease [48, 74]. In the early phase of PPMS (during the first 5 years from onset), MR-detectable inflammation occurs more commonly than later in the course of the disease [34]; however, this has been shown to have only a minimal impact on the accumulation of disability over the subsequent 5 years [39]. Similarly, the number of T2-visible brain lesions at baseline does not seem to influence the rate of clinical progression in the subsequent 15 years in these patients [49].
Differently from the relapsing forms of the disease, where cord lesions are typically multifocal, shorter than two vertebral segments in length and occupy only part of the cord cross-sectional area, PPMS patients relatively often show diffuse mild hyperintensity on T2-weighted images [40, 46]. Disappointingly, these diffuse abnormalities are only weakly associated with clinical disability [46].
Several strategies have been applied to overcome the limitations of conventional MRI in the assessment of MS, including the application of voxel-wise methods for the analysis of the spatial distribution of focal lesions and the use of novel sequences, such as double inversion recovery (DIR), which allow the identification of at least a proportion of the lesions located in the brain grey matter (GM). In 80 PPMS patients, using a voxel-wise approach, one study has shown that the location of T2-visible lesions in the motor and associative WM tracts of the brain is able to predict the progression of disability after 10 years [9]. Another study has shown that the maximum probability for T2- and T1-visible lesions in the WM is higher in PPMS than in RRMS patients [26]. Using DIR sequences, cortical lesions (CL) have been shown in about 80% of patients with PPMS [13]. Notably, the number and extent of CLs have been associated with clinical disability and with its worsening over a 2-year follow up period [13]. A recent study found no difference between PPMS and RRMS patients in the frequency and volume of CLs or in their distribution across brain lobes. Interestingly, the extent of brain lobes affected by the presence of CLs was more widespread in RRMS than in PPMS patients. Conversely, the maximum probability of CL occurrence was twice as high in PPMS than in RRMS patients [14].
Atrophy
Brain and cord atrophy, which is likely to reflect irreversible tissue loss, is detectable on MRI scans from PPMS patients from the earliest clinical stages. A multicentre study of 226 patients demonstrated that both brain and cervical cord atrophy were correlated with the degree of disability measured using the Expanded Disability Status Scale (EDSS) and they were more severe in patients with locomotor disability than in those without [67]. Another multicentre study found that a reduction in brain volume over a 2-year period contributed to the prediction of EDSS progression over 10 years in 101 PPMS patients [38].
Improvements in MRI postprocessing now allow accurate estimates of brain GM and WM atrophy to be obtained separately, and its regional distribution to be defined. Atrophy of both the GM and WM has been shown to occur in PPMS patients [70]. In particular, GM atrophy was found to worsen significantly over 1 year in these patients; on the contrary, WM atrophy remained stable [70]. Using voxel-based morphometry, several studies have also shown thalamic atrophy in PPMS patients [15, 35, 72]. In one of these studies, at 1 year tissue loss of the basal ganglia and cortical and cerebellar GM was also found [72]. The evaluation of the topography of GM atrophy has undoubtedly improved the correlation with disease clinical manifestations, including cognitive impairment [4, 57]. For instance, Riccitelli et al. [57] showed a significant GM loss in the anterior cingulate cortex and the right superior temporal gyrus in cognitively impaired versus cognitively preserved PPMS patients. Remarkably, the extent of anterior cingulate cortex atrophy was found to be correlated with the cognitive impairment index, a summary measure of neuropsychological deficits. Another study found a correlation between impairment of memory performance and hippocampal atrophy in these patients [4].
Although studies based on conventional MRI with new sequences and postprocessing approaches have undoubtedly contributed to a more complete picture of the extent of CNS involvement in patients with PPMS, the ability of these techniques to define the factors leading to irreversible disability in this condition is still suboptimal. This has led to the increased use of advanced MR techniques which, due to their sensitivity to the most destructive aspects of the disease, have the potential to improve our understanding of PPMS pathobiology.
MT MRI
Basic principles
MT MRI provides an index, called the MT ratio (MTR), whose values reflect the efficiency of the magnetization exchange between protons in tissue water (relatively free) and those bound to the macromolecules. MTR values are decreased when CNS tissue injury occurs. A post-mortem study [78] has provided compelling evidence that marked reductions in MTR values in MS lesions and NAWM are strongly correlated with the percentage of residual axons and the degree of demyelination. Another study performed on human specimens has confirmed the ability of this technique to provide information on tissue integrity, by showing that MTR values of remyelinated lesions are higher than those of demyelinated ones, which in turn are much lower than those of the NAWM [6]. Consistent with this, several in vivo MT MRI studies have shown decreased MTR values in T2-visible lesions, NAWM and GM from MS patients with different clinical phenotypes of the disease.
MT MRI studies of PPMS
Lesions
MTR values of T2-visible lesions are decreased with respect to those of the NAWM in PPMS patients [33, 44], but no difference was found in average MTR values of T2-visible lesions between PPMS and other MS clinical phenotypes [33, 61].
NA brain tissue
Using a region of interest (ROI) analysis, reduced MTR values have been shown in the NAWM of PPMS patients in comparison to the WM of healthy controls [33, 44]. The application of histogram analysis to the study of the NA brain tissue (NABT) and NAWM damage has confirmed and extended previous findings, by showing that such “occult” damage is more pronounced in SPMS and PPMS patients than in patients with other disease phenotypes [30, 75]. On the contrary, no NAWM MTR difference was found between patients with the two progressive forms of the disease [61] (Fig. 1). This may indicate that in both PPMS and SPMS a progressive reduction in cerebral tissue with “truly” normal MTR values accompanies the irreversible accumulation of disability, independent of the concomitant accumulation of MRI-visible lesions. Such a notion is supported by the finding that average brain MTR values are only modestly correlated with T2- and T1-visible lesion load [61]. All of this suggests that NABT/NAWM pathology in PPMS not merely reflects Wallerian degeneration of axons traversing macroscopic lesions, but might also be related to the occurrence of subtle pathology independent of focal, macroscopic WM lesions.
Grey matter
MT MRI abnormalities have been shown in the GM of PPMS patients [17, 25, 56] and were found to correlate with the severity of clinical disability [17, 25, 56]. More recently, using a voxel-based approach, Khaleeli et al. [35] showed a significant correlation between regional decreases of MTR values in cortical areas of the motor network and the EDSS score, and between MTR values in the cortical areas of the cognitive network and Paced Auditory Serial Attention Test (PASAT) scores.
Longitudinal studies
The results of a few longitudinal studies suggest that MT MRI has the potential to provide surrogate markers of disease progression in PPMS [36, 37]. In patients with early (within 5 years of disease onset) PPMS, lower NAWM MTR values at baseline predict a more severe deterioration of disability over 1 year [36] and 3 years [37], as measured using the EDSS and the MS functional composite scores. More recently, a 5-year follow-up study of this cohort showed that the volume of T2-visible lesion and GM MTR abnormalities at baseline independently predicted disease progression, as measured by the 25-foot timed walk test. A faster progression rate correlated with a steeper increase in the volume of T2-visible lesions and a more rapid decline in GM MTR [76]. In early PPMS, Penny et al. [53] have shown that a low baseline GM MTR predicts a poor performance in neuropsychological tests assessing attention, speed of information processing and executive functions 5 years later.
Cervical cord
MT MRI has been applied to investigate damage to the cervical cord in PPMS patients, using histogram-based analysis [30, 45, 61]. Lycklama a Nijeholt et al. [45] reported that a composite measure taking into account cervical cord MTR and cross-sectional area improves the strength of the correlation between cervical cord MRI findings and the EDSS score. In a study by Rovaris et al. [61], cord MTR histogram metrics were significantly worse in SPMS than in PPMS patients, despite the presence of a similar burden of cervical cord lesions. In the same study, no significant correlation was found between conventional and MT MRI measures of MS pathology in the brain and cord, suggesting that degenerative processes affecting long fibre tracts passing through brain lesions play only a modest role in determining the severity of cervical cord damage in PPMS. By combining cord measures reflecting the severity of atrophy (cross-sectional area at the C2 level) and intrinsic damage to the remaining tissue (MTR histogram peak height) in a composite model, a relatively low (r = 0.21) but significant correlation with clinical disability was found.
DT MRI
Basic principles
DT MRI allows quantitative measurements of brain tissue microstructure to be obtained through the exploitation of the properties of water diffusion [42]. Water molecules undergo a random Brownian motion, that can be influenced by the characteristics of the surrounding medium, because of the presence of partially permeable barriers and aligned structures. These characteristics are reflected by the magnitude and directionality of diffusion. Since diffusion in solid tissues is an inherently three-dimensional and anisotropic process, DT MRI has been developed to fully characterize the various aspects of diffusion [7, 54]. From the tensor, it is possible to calculate the magnitude of diffusion, reflected by mean diffusivity (MD), and the degree of anisotropy, which is a measure of tissue organization that can be expressed by several indexes, including a dimensionless one, called fractional anisotropy (FA). The pathological elements of MS have the potential to alter the permeability and geometry of structural barriers to water diffusion in the CNS. Consistent with this, several in vivo DT MRI studies [65] have shown increased MD and decreased FA values in T2-visible lesions, NAWM and GM from MS patients. The main post-mortem correlates of diffusivity changes in MS are demyelination and axonal loss. This is more evident for anisotropy indexes than for MD [50].
DT MRI studies of PPMS
Overall brain damage
In the past decade, several DT MRI studies have been conducted in PPMS patients [17, 19, 20, 27, 31, 62]. Seminal studies [20, 27, 31] with partial brain coverage and based on ROI analysis compared the DT MRI characteristics of MS patients with various clinical phenotypes of the disease and found no significant difference between them.
Using a histogram-based analysis, Cercignani et al. [18] obtained MD and FA histograms from a large portion of the central brain (i.e. including both T2-visible lesions and NABT) from a relatively large sample of MS patients with different clinical phenotypes, including PPMS. All the histogram-derived quantities were significantly different between PPMS patients and healthy controls, but no difference was found with the other disease phenotypes. In addition, no significant correlation was found between DT MRI findings and disability, contrary to what has been seen for the other MS subgroups [18].
Location of damage
DT MRI has been applied to quantify damage to the NAWM and GM separately in PPMS patients [10, 62]. These studies confirmed that both these brain compartments are involved by the disease. Damage to the NAWM and GM is only partially correlated with the extent of focal lesions and the severity of intrinsic lesion damage [65], suggesting that diffusivity changes in NA tissues are not entirely dependent upon retrograde degeneration of axons transected in T2-visible lesions.
A large-scale study compared DT MRI histogram-derived findings from PPMS patients with those from SPMS patients and healthy subjects [62] (Fig. 2). Average MD of lesions, NAWM and GM were significantly higher in SPMS than in PPMS patients, while FA histogram-derived quantities did not significantly differ between the two groups. The clinical and radiological 15-month follow-up of these patients showed that DT MRI abnormalities of the GM worsen over time [64], and that the severity of diffusion abnormalities in the GM at baseline predicts disability accumulation at 5 years [66]. Recently, Mesaros et al. [47] have investigated whether conventional and DT MRI measures of thalamic damage are predictive of medium-term disability accumulation in patients with PPMS. This study demonstrated that average NAWM MD at baseline and FA thalamic change during the first 15 months of the study were independent predictors of EDSS score deterioration after 5 years.
Topography of damage
Using a voxel-based approach, a study [15] evaluated the distribution of WM and GM damage in PPMS patients, and showed the presence of DT MRI abnormalities in brain areas associated with motor and cognitive functions (Fig. 3). This supports the notion that the assessment of regional damage using DT MRI may be more rewarding than that of “global” brain damage for gaining an insight into the relationship between clinical status and pathological disease burden in MS. Bodini et al. [8] investigated the relationship between damage occurring in the NAWM and GM in patients with early PPMS and found 11 brain regions with an anatomical correspondence between reduced NAWM FA values and GM atrophy, supporting a link between pathological processes occurring in the NAWM and GM of these patients.
Cervical cord
Diffusion MRI of the spinal cord is technically more challenging than that of the brain, and diffusivity studies of this structure are, therefore, scanty. Nevertheless, the development of novel DT MRI sequences has made it possible to obtain accurate estimates of the extent of damage to this CNS region. Patients with PPMS have abnormal diffusivity and anisotropy of the cervical cord [1]. A 2-year follow-up study of a relatively large cohort of MS patients (including 13 patients with RRMS, 14 with SPMS, and 15 with PPMS) using conventional and DT MRI of the cervical cord [2] showed that the cord area decreased during follow-up at a similar rate in the three patient groups. An increase in average MD and a decrease in average FA of the cord were also observed in these patients. While the increase in MD was independent of clinical phenotype, the decrease in FA was associated with patient age (being higher in younger patients) and clinical phenotype (being more marked in PPMS patients than in those of the other two groups).
1H-MRS
Basic principles
Proton MR spectra of human brain tissue at long echo times reveal four major resonances [69]: one from choline-containing phospholipids (Cho), one from creatine and phosphocreatine (Cr), one from N-acetyl-aspartate (NAA) and one from the methyl resonance of lactate (Lac). NAA is a marker of neuroaxonal integrity, and Cho and Lac are thought to be the biochemical correlates of inflammation and demyelination. 1H-MRS studies in MS have shown that NAA levels are reduced both in lesions and NAWM [69], and are significantly correlated with patient clinical disability. 1H-MRS data have emphasized the so-called “axonal hypothesis”, i.e. the notion that a progressive loss of axons is one of the key factors underlying the irreversible accumulation of disability in MS.
1H-MRS studies of PPMS
Single-voxel and multivoxel studies
The majority of the 1H-MRS studies in PPMS patients [23, 24, 43, 55, 73] have been conducted with single-voxel or multivoxel imaging techniques. Despite differences in patient selection and study design, 1H-MRS data obtained from PPMS patients show consistently that NAA levels are decreased significantly in the NAWM of these individuals in relation to the WM of healthy controls. Comparisons of 1H-MRS findings between patients with PPMS and those with other disease phenotypes did not show any significant group difference in terms of lesional and NAWM levels of NAA and other metabolites [24, 43, 55, 73, 79], with the exception of a single study [73] that found higher lesional and NAWM Cho/Cr values in PPMS than in RRMS patients. Only a minority of available 1H-MRS studies of PPMS [24, 43, 73] have sought to correlate metabolite values with disability, and no significant clinical/1H-MRS relationship has been reported, with the exception of a study by Suhy et al. [73], who assessed 12 PPMS patients and found a correlation between NAWM NAA/Cr and the EDSS score (r 2 = 0.67).
New developments
The development of an unlocalized 1H-MRS sequence for measuring NAA levels in the whole brain has confirmed the presence of marked neuroaxonal pathology in patients with PPMS [63]. No correlation has been found between whole-brain NAA concentration and volume of T2-visible lesions, confirming that T2-visible lesions represent just a small component of overall neuroaxonal injury in this MS phenotype. Metabolite abnormalities, including decreased NAA and glutamate, have been shown in the cortex of patients with early PPMS and have been found to be correlated with the EDSS score [71].
Multicentre studies and treatment trials
In only one multicentre study has 1H-MRS data been used to assess PPMS patients [51]. This study showed comparable cross-sectional 1H-MRS values in healthy controls from different centres, indicating that 1H-MRS is reproducible across sites, when factors such as data acquisition, position and size of the volume of interest, postprocessing, and quantification procedures are standardized. In addition, differences in NAA/Cr ratio between controls and PPMS patients were consistent among centres [51]. A 3-year follow-up study [68] did not detect any significant difference in metabolite ratios in lesions, NAWM and GM between patients treated with glatiramer acetate and those receiving placebo. However, there were also no detectable temporal changes in metabolite ratios in the two groups of patients relative to baseline values during the study period. As a consequence, the sensitivity of 1H-MRS for detecting MS-related changes in clinical trials remains to be established.
Functional MRI
Basic principles
The signal changes seen during fMRI studies depend on the blood oxygenation level-dependent (BOLD) mechanism, which in turn involves modifications of the transverse magnetization relaxation time—either T2* in a gradient echo sequence, or T2 in a spin echo sequence. Such changes are attributable to differences in deoxyhaemoglobin concentration following variations in neuronal activity [52]. The correlation between local deoxyhaemoglobin levels and neuronal activity is thought to result from changes in oxygen extraction, cerebral blood flow, and cerebral blood volume [52]. Activation of a given brain area causes an increase in local synaptic activity, which results in a rise in blood flow and oxygen consumption. The increase in blood flow is greater than oxygen consumption, thus causing an increase in the ratio between oxygenated and deoxygenated haemoglobin, which enhances the MRI signal. Using fMRI with motor, visual and cognitive tasks, several studies have shown that cortical reorganization does occur in MS patients with different clinical phenotypes [29]. The correlation between various measures of structural MS damage and the extent of cortical recruitment consistently found by these studies [29] suggests that adaptive cortical changes limit the clinical consequences of tissue injury in patients with MS.
fMRI studies in PPMS
Movement-associated activations
Only a few studies [16, 21, 32, 58, 59] have assessed the degree of cortical functional reorganization in PPMS patients. Nevertheless, understanding to what extent cortical reorganization occurs in these patients and whether it has an adaptive role might be rewarding in terms of providing a better understanding of the pathophysiology of progressive disability in MS. Since differences in task performance is one of the main factors that might bias the results of fMRI experiments, fMRI studies of the motor system in PPMS patients have typically assessed highly selected groups of patients with a fully normal motor functioning of the limb investigated [16, 32, 58], or analysed the performance of passive motor paradigms [21]. Studies which have assessed the performance of a simple motor task with the dominant right upper limb [16, 32, 58] have shown a significant cortical reorganization of a distributed cortical network considered to function in motor, sensory and multimodal integration processing, which extends well beyond “classical” motor areas involved in different phases of movement planning and execution (Fig. 4). The absence of a concomitant recruitment of the “classical” motor areas, including the primary and secondary sensorimotor cortices, supplementary motor area and infraparietal sulcus, was interpreted as a loss of the adaptive properties of the cortex in this severely disabling phenotype of the disease. These studies also suggested 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. Consistent with this hypothesis, significant correlations have been found between relative activations of these areas and the severity of structural damage to the brain and cervical cord [32]. In particular, a recent study [16] that combined DT MRI tractography and functional connectivity analysis of the motor network found that an abnormal functional connectivity between the motor and visual network was correlated with the extent of damage to the inferior longitudinal fasciculus, frontooccipital fasciculus and optic radiations. The notion that high-order cortical areas might play a role in CNS rewiring in PPMS patients is also supported by the results of a study by Ciccarelli et al. [21], who, to avoid biases related to patient clinical impairment in the fMRI results, investigated the performance of an active and a passive motor task. During passive movements, compared to controls, PPMS patients had an increased recruitment of the superior temporal gyrus, rolandic operculum and putamen. The fMRI response to active and passive movements in the ipsilateral inferior frontal gyrus was lower in patients with higher disability and higher load of T2-visible brain lesions.
Cognitive studies
At present, only one study has assessed fMRI correlates of cognitive network function in patients with PPMS during the performance of the two-back task [59]. This study found that the regions engaged during the performance of this cognitive task differ between cognitively preserved and cognitively impaired PPMS patients, with a prominent recruitment of areas located in the frontal lobes in the cognitively preserved patients and in the parietal lobe and cerebellar regions in the cognitively impaired patients. Such fMRI findings were related to T2-visible lesion burden, suggesting that accumulation of T2-visible lesions and the consequent exhaustion of frontal lobe plasticity might contribute to cognitive impairment in PPMS.
fMRI at rest
The exploration of brain activity at rest is a strategy to avoid the influence on fMRI data from between-subject variability in task performance. Using such an approach, Rocca et al. [60] explored abnormalities of the default-mode network (DMN) in patients with SPMS and PPMS. Between-group differences in DMN activity were found in several regions within the anterior portion of this network in both groups of patients. Remarkably, DMN abnormalities correlated with cognitive performance and diffusivity abnormalities in the corpus callosum and cingulum.
Cervical cord
Functional MRI has also been applied to assess functional abnormalities in the spinal cord of MS patients [3, 77]. A study has interrogated neuronal activity in the cervical cord during tactile stimulation of the right upper limb [3], and found that PPMS patients experienced greater average cord fMRI recruitment than controls. Mildly disabled patients had a pattern of fMRI activity distribution similar to that of controls, with a right-sided lateralization, whereas severely disabled patients showed a bilateral pattern of cord recruitment. In PPMS patients, overall cord average fMRI signal change correlated significantly with cord average FA, again suggesting a possible adaptive role of such an abnormal recruitment. More recently, Valsasina et al. [77] compared touch-associated cervical cord fMRI activity between PPMS and SPMS patients and found that, despite similar structural cord damage, cord activity was greater in SPMS than in PPMS patients.
Conclusion
The application of quantitative MR techniques has contributed significantly to the improvement in our understanding of the mechanisms responsible for the steady irreversible accumulation of clinical disability in patients with PPMS. The results of MT and DT MRI studies of the brain support the notion that tissue damage which goes undetected when using conventional MRI does affect the NAWM and GM of these patients. MT MRI studies of the cervical cord indicate that, whereas MS brain pathology may follow different patterns in PPMS and SPMS, cord damage is important in both phenotypes in determining an irreversible accumulation of disability. 1H-MRS studies have found consistently that neuroaxonal injury is a remarkable feature of brain damage in PPMS patients. fMRI studies have shown that cortical functional changes occur in patients with PPMS, and involve distributed networks. Such abnormalities of function are related to the extent of structural CNS damage, thus supporting the notion that cortical adaptive responses may play a role in compensating for tissue injury in PPMS. As a consequence, the rate of accumulation of disability in PPMS might not only be a function of tissue loss, but also of progressive failure of the adaptive capacity of the cortex. Further studies are needed to investigate the role of MR techniques in characterizing the pattern of damage in patients with less-prevalent phenotypes of PPMS, such as transitional progressive MS.
References
Agosta F, Benedetti B, Rocca MA, Valsasina P, Rovaris M, Comi G, Filippi M (2005) Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI. Neurology 64:631–635
Agosta F, Absinta M, Sormani MP, Ghezzi A, Bertolotto A, Montanari E, Comi G, Filippi M (2007) In vivo assessment of cervical cord damage in MS patients: a longitudinal diffusion tensor MRI study. Brain 130:2211–2219
Agosta F, Valsasina P, Absinta M, Sala S, Caputo D, Filippi M (2009) Primary progressive multiple sclerosis: tactile-associated functional MR activity in the cervical spinal cord. Radiology 253:209–215
Anderson VM, Fisniku LK, Khaleeli Z, Summers MM, Penny SA, Altmann DR, Thompson AJ, Ron MA, Miller DH (2010) Hippocampal atrophy in relapsing-remitting and primary progressive MS: a comparative study. Mult Scler 16:1083–1090
Bakshi R, Thompson AJ, Rocca MA, Pelletier D, Dousset V, Barkhof F, Inglese M, Guttmann CR, Horsfield MA, Filippi M (2008) MRI in multiple sclerosis: current status and future prospects. Lancet Neurol 7:615–625
Barkhof F, Bruck W, De Groot CJ, Bergers E, Hulshof S, Geurts J, Polman CH, van der Valk P (2003) Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance. Arch Neurol 60:1073–1081
Basser PJ, Mattiello J, LeBihan D (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259–267
Bodini B, Khaleeli Z, Cercignani M, Miller DH, Thompson AJ, Ciccarelli O (2009) Exploring the relationship between white matter and gray matter damage in early primary progressive multiple sclerosis: an in vivo study with TBSS and VBM. Hum Brain Mapp 30:2852–2861
Bodini B, Battaglini M, De Stefano N, Khaleeli Z, Barkhof F, Chard D, Filippi M, Montalban X, Polman C, Rovaris M, Rovira A, Samson R, Miller D, Thompson A, Ciccarelli O (2011) T2 lesion location really matters: a 10 year follow-up study in primary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 82:72–77
Bozzali M, Cercignani M, Sormani MP, Comi G, Filippi M (2002) Quantification of brain gray matter damage in different MS phenotypes by use of diffusion tensor MR imaging. AJNR Am J Neuroradiol 23:985–988
Bradl M, Lassmann H (2009) Progressive multiple sclerosis. Semin Immunopathol 31:455–465
Bramow S, Frischer JM, Lassmann H, Koch-Henriksen N, Lucchinetti CF, Sorensen PS, Laursen H (2010) Demyelination versus remyelination in progressive multiple sclerosis. Brain 133:2983–2998
Calabrese M, Rocca MA, Atzori M, Mattisi I, Bernardi V, Favaretto A, Barachino L, Romualdi C, Rinaldi L, Perini P, Gallo P, Filippi M (2009) Cortical lesions in primary progressive multiple sclerosis: a 2-year longitudinal MR study. Neurology 72:1330–1336
Calabrese M, Battaglini M, Giorgio A, Atzori M, Bernardi V, Mattisi I, Gallo P, De Stefano N (2010) Imaging distribution and frequency of cortical lesions in patients with multiple sclerosis. Neurology 75:1234–1240
Ceccarelli A, Rocca MA, Valsasina P, Rodegher M, Pagani E, Falini A, Comi G, Filippi M (2009) A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis. Hum Brain Mapp 30:3009–3019
Ceccarelli A, Rocca MA, Valsasina P, Rodegher M, Falini A, Comi G, Filippi M (2010) Structural and functional magnetic resonance imaging correlates of motor network dysfunction in primary progressive multiple sclerosis. Eur J Neurosci 31:1273–1280
Cercignani M, Bozzali M, Iannucci G, Comi G, Filippi M (2001) Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis. J Neurol Neurosurg Psychiatry 70:311–317
Cercignani M, Inglese M, Pagani E, Comi G, Filippi M (2001) Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis. AJNR Am J Neuroradiol 22:952–958
Cercignani M, Bozzali M, Iannucci G, Comi G, Filippi M (2002) Intra-voxel and inter-voxel coherence in patients with multiple sclerosis assessed using diffusion tensor MRI. J Neurol 249:875–883
Ciccarelli O, Werring DJ, Wheeler-Kingshott CA, Barker GJ, Parker GJ, Thompson AJ, Miller DH (2001) Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations. Neurology 56:926–933
Ciccarelli O, Toosy AT, Marsden JF, Wheeler-Kingshott CM, Miller DH, Matthews PM, Thompson AJ (2006) Functional response to active and passive ankle movements with clinical correlations in patients with primary progressive multiple sclerosis. J Neurol 253:882–891
Cottrell DA, Kremenchutzky M, Rice GP, Koopman WJ, Hader W, Baskerville J, Ebers GC (1999) The natural history of multiple sclerosis: a geographically based study. 5. The clinical features and natural history of primary progressive multiple sclerosis. Brain 122(Pt 4):625–639
Cucurella MG, Rovira A, Rio J, Pedraza S, Tintore MM, Montalban X, Alonso J (2000) Proton magnetic resonance spectroscopy in primary and secondary progressive multiple sclerosis. NMR Biomed 13:57–63
Davie CA, Barker GJ, Thompson AJ, Tofts PS, McDonald WI, Miller DH (1997) 1H magnetic resonance spectroscopy of chronic cerebral white matter lesions and normal appearing white matter in multiple sclerosis. J Neurol Neurosurg Psychiatry 63:736–742
Dehmeshki J, Chard DT, Leary SM, Watt HC, Silver NC, Tofts PS, Thompson AJ, Miller DH (2003) The normal appearing grey matter in primary progressive multiple sclerosis: a magnetisation transfer imaging study. J Neurol 250:67–74
Di Perri C, Battaglini M, Stromillo ML, Bartolozzi ML, Guidi L, Federico A, De Stefano N (2008) Voxel-based assessment of differences in damage and distribution of white matter lesions between patients with primary progressive and relapsing-remitting multiple sclerosis. Arch Neurol 65:236–243
Droogan AG, Clark CA, Werring DJ, Barker GJ, McDonald WI, Miller DH (1999) Comparison of multiple sclerosis clinical subgroups using navigated spin echo diffusion-weighted imaging. Magn Reson Imaging 17:653–661
Evangelou N, DeLuca GC, Owens T, Esiri MM (2005) Pathological study of spinal cord atrophy in multiple sclerosis suggests limited role of local lesions. Brain 128:29–34
Filippi M, Rocca MA (2009) Functional MR imaging in multiple sclerosis. Neuroimaging Clin N Am 19:59–70
Filippi M, Iannucci G, Tortorella C, Minicucci L, Horsfield MA, Colombo B, Sormani MP, Comi G (1999) Comparison of MS clinical phenotypes using conventional and magnetization transfer MRI. Neurology 52:588–594
Filippi M, Cercignani M, Inglese M, Horsfield MA, Comi G (2001) Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology 56:304–311
Filippi M, Rocca MA, Falini A, Caputo D, Ghezzi A, Colombo B, Scotti G, Comi G (2002) Correlations between structural CNS damage and functional MRI changes in primary progressive MS. Neuroimage 15:537–546
Gass A, Barker GJ, Kidd D, Thorpe JW, MacManus D, Brennan A, Tofts PS, Thompson AJ, McDonald WI, Miller DH (1994) Correlation of magnetization transfer ratio with clinical disability in multiple sclerosis. Ann Neurol 36:62–67
Ingle GT, Sastre-Garriga J, Miller DH, Thompson AJ (2005) Is inflammation important in early PPMS? A longitudinal MRI study. J Neurol Neurosurg Psychiatry 76:1255–1258
Khaleeli Z, Cercignani M, Audoin B, Ciccarelli O, Miller DH, Thompson AJ (2007) Localized grey matter damage in early primary progressive multiple sclerosis contributes to disability. Neuroimage 37:253–261
Khaleeli Z, Sastre-Garriga J, Ciccarelli O, Miller DH, Thompson AJ (2007) Magnetisation transfer ratio in the normal appearing white matter predicts progression of disability over 1 year in early primary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 78:1076–1082
Khaleeli Z, Altmann DR, Cercignani M, Ciccarelli O, Miller DH, Thompson AJ (2008) Magnetization transfer ratio in gray matter: a potential surrogate marker for progression in early primary progressive multiple sclerosis. Arch Neurol 65:1454–1459
Khaleeli Z, Ciccarelli O, Manfredonia F, Barkhof F, Brochet B, Cercignani M, Dousset V, Filippi M, Montalban X, Polman C, Rovaris M, Rovira A, Sastre-Garriga J, Vellinga M, Miller D, Thompson A (2008) Predicting progression in primary progressive multiple sclerosis: a 10-year multicenter study. Ann Neurol 63:790–793
Khaleeli Z, Ciccarelli O, Mizskiel K, Altmann D, Miller DH, Thompson AJ (2010) Lesion enhancement diminishes with time in primary progressive multiple sclerosis. Mult Scler 16:317–324
Kidd D, Thorpe JW, Thompson AJ, Kendall BE, Moseley IF, MacManus DG, McDonald WI, Miller DH (1993) Spinal cord MRI using multi-array coils and fast spin echo. II. Findings in multiple sclerosis. Neurology 43:2632–2637
Kutzelnigg A, Lucchinetti CF, Stadelmann C, Bruck W, Rauschka H, Bergmann M, Schmidbauer M, Parisi JE, Lassmann H (2005) Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 128:2705–2712
Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407
Leary SM, Davie CA, Parker GJ, Stevenson VL, Wang L, Barker GJ, Miller DH, Thompson AJ (1999) 1H magnetic resonance spectroscopy of normal appearing white matter in primary progressive multiple sclerosis. J Neurol 246:1023–1026
Leary SM, Silver NC, Stevenson VL, Barker GJ, Miller DH, Thompson AJ (1999) Magnetisation transfer of normal appearing white matter in primary progressive multiple sclerosis. Mult Scler 5:313–316
Lycklama a Nijeholt GJ, Castelijns JA, Lazeron RH, van Waesberghe JH, Polman CH, Uitdehaag BM, Barkhof F (2000) Magnetization transfer ratio of the spinal cord in multiple sclerosis: relationship to atrophy and neurologic disability. J Neuroimaging 10:67–72
Lycklama G, Thompson A, Filippi M, Miller D, Polman C, Fazekas F, Barkhof F (2003) Spinal-cord MRI in multiple sclerosis. Lancet Neurol 2:555–562
Mesaros S, Rocca MA, Pagani E, Sormani MP, Petrolini M, Comi G, Filippi M (2011) Thalamic damage predicts the evolution of primary-progressive multiple sclerosis at 5 years. AJNR Am J Neuroradiol 32(6):1016–1020
Miller DH, Leary SM (2007) Primary-progressive multiple sclerosis. Lancet Neurol 6:903–912
Mostert JP, Koch MW, Steen C, Heersema DJ, De Groot JC, De Keyser J (2010) T2 lesions and rate of progression of disability in multiple sclerosis. Eur J Neurol 17:1471–1475
Mottershead JP, Schmierer K, Clemence M, Thornton JS, Scaravilli F, Barker GJ, Tofts PS, Newcombe J, Cuzner ML, Ordidge RJ, McDonald WI, Miller DH (2003) High field MRI correlates of myelin content and axonal density in multiple sclerosis – a post-mortem study of the spinal cord. J Neurol 250:1293–1301
Narayana PA, Wolinsky JS, Rao SB, He R, Mehta M (2004) Multicentre proton magnetic resonance spectroscopy imaging of primary progressive multiple sclerosis. Mult Scler 10(Suppl 1):S73–S78
Ogawa S, Menon RS, Tank DW, Kim SG, Merkle H, Ellermann JM, Ugurbil K (1993) Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. Biophys J 64:803–812
Penny S, Khaleeli Z, Cipolotti L, Thompson A, Ron M (2010) Early imaging predicts later cognitive impairment in primary progressive multiple sclerosis. Neurology 74:545–552
Pierpaoli C, Basser PJ (1996) Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 36:893–906
Pike GB, de Stefano N, Narayanan S, Francis GS, Antel JP, Arnold DL (1999) Combined magnetization transfer and proton spectroscopic imaging in the assessment of pathologic brain lesions in multiple sclerosis. AJNR Am J Neuroradiol 20:829–837
Ramio-Torrenta L, Sastre-Garriga J, Ingle GT, Davies GR, Ameen V, Miller DH, Thompson AJ (2006) Abnormalities in normal appearing tissues in early primary progressive multiple sclerosis and their relation to disability: a tissue specific magnetisation transfer study. J Neurol Neurosurg Psychiatry 77:40–45
Riccitelli G, Rocca MA, Pagani E, Rodegher ME, Rossi P, Falini A, Comi G, Filippi M (2010) Cognitive impairment in multiple sclerosis is associated to different patterns of gray matter atrophy according to clinical phenotype. Hum Brain Mapp. doi:10.1002/hbm.21125
Rocca MA, Matthews PM, Caputo D, Ghezzi A, Falini A, Scotti G, Comi G, Filippi M (2002) Evidence for widespread movement-associated functional MRI changes in patients with PPMS. Neurology 58:866–872
Rocca MA, Riccitelli G, Rodegher M, Ceccarelli A, Falini A, Falautano M, Meani A, Comi G, Filippi M (2010) Functional MR Imaging correlates of neuropsychological impairment in primary-progressive multiple sclerosis. AJNR Am J Neuroradiol 31:1240–1246
Rocca MA, Valsasina P, Absinta M, Riccitelli G, Rodegher ME, Misci P, Rossi P, Falini A, Comi G, Filippi M (2010) Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology 74:1252–1259
Rovaris M, Bozzali M, Santuccio G, Ghezzi A, Caputo D, Montanari E, Bertolotto A, Bergamaschi R, Capra R, Mancardi G, Martinelli V, Comi G, Filippi M (2001) In vivo assessment of the brain and cervical cord pathology of patients with primary progressive multiple sclerosis. Brain 124:2540–2549
Rovaris M, Bozzali M, Iannucci G, Ghezzi A, Caputo D, Montanari E, Bertolotto A, Bergamaschi R, Capra R, Mancardi GL, Martinelli V, Comi G, Filippi M (2002) Assessment of normal-appearing white and gray matter in patients with primary progressive multiple sclerosis: a diffusion-tensor magnetic resonance imaging study. Arch Neurol 59:1406–1412
Rovaris M, Gallo A, Falini A, Benedetti B, Rossi P, Comola M, Scotti G, Comi G, Filippi M (2005) Axonal injury and overall tissue loss are not related in primary progressive multiple sclerosis. Arch Neurol 62:898–902
Rovaris M, Gallo A, Valsasina P, Benedetti B, Caputo D, Ghezzi A, Montanari E, Sormani MP, Bertolotto A, Mancardi G, Bergamaschi R, Martinelli V, Comi G, Filippi M (2005) Short-term accrual of gray matter pathology in patients with progressive multiple sclerosis: an in vivo study using diffusion tensor MRI. Neuroimage 24:1139–1146
Rovaris M, Gass A, Bammer R, Hickman SJ, Ciccarelli O, Miller DH, Filippi M (2005) Diffusion MRI in multiple sclerosis. Neurology 65:1526–1532
Rovaris M, Judica E, Gallo A, Benedetti B, Sormani MP, Caputo D, Ghezzi A, Montanari E, Bertolotto A, Mancardi G, Bergamaschi R, Martinelli V, Comi G, Filippi M (2006) Grey matter damage predicts the evolution of primary progressive multiple sclerosis at 5 years. Brain 129:2628–2634
Rovaris M, Judica E, Sastre-Garriga J, Rovira A, Sormani MP, Benedetti B, Korteweg T, De Stefano N, Khaleeli Z, Montalban X, Barkhof F, Miller DH, Polman C, Thompson AJ, Filippi M (2008) Large-scale, multicentre, quantitative MRI study of brain and cord damage in primary progressive multiple sclerosis. Mult Scler 14:455–464
Sajja BR, Narayana PA, Wolinsky JS, Ahn CW (2008) Longitudinal magnetic resonance spectroscopic imaging of primary progressive multiple sclerosis patients treated with glatiramer acetate: multicenter study. Mult Scler 14:73–80
Sajja BR, Wolinsky JS, Narayana PA (2009) Proton magnetic resonance spectroscopy in multiple sclerosis. Neuroimaging Clin N Am 19:45–58
Sastre-Garriga J, Ingle GT, Chard DT, Cercignani M, Ramio-Torrenta L, Miller DH, Thompson AJ (2005) Grey and white matter volume changes in early primary progressive multiple sclerosis: a longitudinal study. Brain 128:1454–1460
Sastre-Garriga J, Ingle GT, Chard DT, Ramio-Torrenta L, McLean MA, Miller DH, Thompson AJ (2005) Metabolite changes in normal-appearing gray and white matter are linked with disability in early primary progressive multiple sclerosis. Arch Neurol 62:569–573
Sepulcre J, Sastre-Garriga J, Cercignani M, Ingle GT, Miller DH, Thompson AJ (2006) Regional gray matter atrophy in early primary progressive multiple sclerosis: a voxel-based morphometry study. Arch Neurol 63:1175–1180
Suhy J, Rooney WD, Goodkin DE, Capizzano AA, Soher BJ, Maudsley AA, Waubant E, Andersson PB, Weiner MW (2000) 1H MRSI comparison of white matter and lesions in primary progressive and relapsing-remitting MS. Mult Scler 6:148–155
Thompson AJ, Montalban X, Barkhof F, Brochet B, Filippi M, Miller DH, Polman CH, Stevenson VL, McDonald WI (2000) Diagnostic criteria for primary progressive multiple sclerosis: a position paper. Ann Neurol 47:831–835
Tortorella C, Viti B, Bozzali M, Sormani MP, Rizzo G, Gilardi MF, Comi G, Filippi M (2000) A magnetization transfer histogram study of normal-appearing brain tissue in MS. Neurology 54:186–193
Tur C, Khaleeli Z, Ciccarelli O, Altmann DR, Cercignani M, Miller DH, Thompson AJ (2011) Complementary roles of grey matter MTR and T2 lesions in predicting progression in early PPMS. J Neurol Neurosurg Psychiatry 82:423–428
Valsasina P, Rocca MA, Absinta M, Agosta F, Caputo D, Comi G, Filippi M (2011) Cervical cord fMRI abnormalities differ between the progressive forms of multiple sclerosis. Hum Brain Mapp (in press)
van Waesberghe JH, Kamphorst W, De Groot CJ, van Walderveen MA, Castelijns JA, Ravid R, Lycklama a Nijeholt GJ, van der Valk P, Polman CH, Thompson AJ, Barkhof F (1999) Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability. Ann Neurol 46:747–754
Vrenken H, Barkhof F, Uitdehaag BM, Castelijns JA, Polman CH, Pouwels PJ (2005) MR spectroscopic evidence for glial increase but not for neuro-axonal damage in MS normal-appearing white matter. Magn Reson Med 53:256–266
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Rocca, M.A., Absinta, M. & Filippi, M. The role of advanced magnetic resonance imaging techniques in primary progressive MS. J Neurol 259, 611–621 (2012). https://doi.org/10.1007/s00415-011-6195-6
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DOI: https://doi.org/10.1007/s00415-011-6195-6