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Brain Advance Access originally published online on January 4, 2008
Brain 2008 131(2):438-446; doi:10.1093/brain/awm328
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© The Author (2008). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Effects of disease duration on the clinical features and brain glucose metabolism in patients with mixed type multiple system atrophy

C. H. Lyoo1, Y. Jeong2, Y. H. Ryu3, S. Y. Lee1, T. J. Song1, J. H. Lee1, J. O. Rinne4 and M. S. Lee1

1Department of Neurology, Youngdong Severance Hospital, Yonsei University College of Medicine, Seoul, 2Department of Brain and Bioengineering, KAIST, Daejeon, 3Department of Radiology, Youngdong Severance Hospital, Yonsei University College of Medicine, Seoul, Korea and 4Turku PET Center, University of Turku, Turku, Finland

Correspondence to: Myung Sik Lee, MD, PhD, Professor, Department of Neurology, Youngdong Severance Hospital, 612 Eonjuro, Gangnam-gu, Seoul, Korea E-mail: mslee{at}yuhs.ac


    Summary
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
To study the effect of disease duration on the clinical, neuropsychological and [18F]-deoxyglucose (FDG) PET findings in patients with mixed type multiple system atrophy (MSA), this study included 16 controls and 37 mixed-type MSA patients with a shorter than a 3-year history of cerebellar or parkinsonian symptoms. We classified the patients into three groups according to the duration of parkinsonian or cerebellar symptoms (Group I = ≤1 year; II = 13–24 months; III = 25–36 months). We performed UPDRS, international cooperative ataxia rating scale (ICARS), and a neuropsychological test battery. We compared the FDG PET findings of each group of patients with controls. Group I patients frequently had memory and frontal executive dysfunction. They showed hypometabolism in the frontal cortex, anterior cerebellar hemisphere and vermis. They had parkinsonian motor deficits, but no basal ganglia hypometabolism. Group II and III patients frequently had multiple domain cognitive impairments, and showed hypometabolism in the frontal and parieto-temporal cortices. Hypometabolism of the bilateral caudate and the left posterolateral putamen was observed in Group II, and whole striatum in Group III. In summary, the cortical hypometabolism begins in the frontal cortex and spreads to the parieto-temporal cortex in MSA. This spreading pattern coincides with the progressive cognitive decline. Early caudate hypometabolism may also contribute to the cognitive impairment. Parkinsonian motor deficits precede putaminal hypometabolism that begins in its posterolateral part. Cerebellar hypometabolism occurs early in the clinical courses and seems to be a relevant metabolic descriptor of cerebellar deficits.

Key Words: multiple system atrophy; cognitive impairment; positron emission tomography

Abbreviations: COWAT, controlled oral word association test; FDG, [18F]-deoxyglucose; FWHM, full-width half-maximum; GCI, glial cytoplasmic inclusion; ICARS, international cooperative ataxia rating scale; IQR, interquartile range; K-BNT, Korean version of the Boston naming test; MSA, multiple system atrophy; PET, positron emission tomography; RCFT, Rey–Osterrieth complex figure test; SVLT, Seoul verbal learning test; TE, echo time; TR, repetition time; UPDRS, unified Parkinson's disease rating scale.

Received September 10, 2007. Revised November 8, 2007. Accepted December 11, 2007.


    Introduction
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Patients with multiple system atrophy (MSA) usually present with a variable mixture of parkinsonian, cerebellar, pyramidal and autonomic symptoms and signs (Wenning et al., 1997Go). Pathological studies of MSA show degeneration of the substantia nigra, striatum, pallidum, cerebellum, pontine nuclei, inferior olivary nucleus, pyramidal tract and intermediolateral cell column of the spinal cord. In addition to neuronal loss and gliosis, glial and neuronal inclusion bodies occur in cerebral white matter and cortices, as well as the striatonigral and olivopontocerebellar systems (Papp et al., 1989Go; Papp and Lantos, 1994Go). However, post-mortem pathological findings usually represent the end result, but not the early evolution of the disease.

In vivo examinations of MSA patients with positron emission tomography (PET) and single photon emission computed tomography studies have shown hypometabolism and hypoperfusion in the frontal cortex, striatum, cerebellum and brainstem (De Volder et al., 1989Go; Eidelberg et al., 1993Go; Perani et al., 1995Go; Antonini et al., 1997Go; Taniwaki et al., 2002Go; Juh et al., 2004Go; Cilia et al., 2005Go; Matsui et al., 2005Go). However, most studies showed a sum of neuronal functional changes in a small number of patients without controlling for age, age at the onset of disease, duration of disease and severity of clinical deficits.

Duration of the disease is an important factor that would influence topographical distribution and severity of pathological changes of neurodegenerative diseases (Apaydin et al., 2002Go). To understand the pattern of evolution of pathological changes, we investigated the effect of disease duration on the findings of [18F]-deoxyglucose (FDG) PET studies in patients with early MSA.

Patients
From July 2004 to May 2007, 75 MSA patients, who fulfilled consensus criteria for possible or probable MSA (Gilman et al., 1999Go), were admitted to Youngdong Severance Hospital, Yonsei University, Seoul, Korea. Of these, 55 patients were recruited with a shorter than a 3-year history of parkinsonian or cerebellar symptoms, regardless of the duration of autonomic symptoms. Of the 55 patients, 36 patients had probable MSA and the remaining 19 patients had possible MSA. During the follow-up period (mean = 12.9 months), twelve of 19 patients with possible MSA developed autonomic dysfunction sufficient for the diagnosis of probable MSA. Of the 48 probable MSA patients, we excluded three patients with pure cerebellar type MSA and five patients with pure parkinsonian type MSA to include rather homogeneous patients. We also excluded three patients with the Korean version of Mini Mental State Examination (K-MMSE) score lower than 24. Among the 37 patients with mixed type MSA, 19 patients (predominated by parkinsonism = 11, predominated by cerebellar deficits = 8) were receiving a single levodopa treatment (mean daily dose = 739.5 mg) or a combination with selegilline (daily dose = 5 mg).

Thus, this study included 37 patients with mixed type MSA and 16 age-matched healthy controls [median age = 61.0 years, interquartile range (IQR) = 58.0–64.3 years, 5 males and 11 females]. According to the duration of parkinsonian or cerebellar symptoms, patients were classified into three groups (Group I = duration 1 year or shorter; Group II = duration between 13 and 24 months; Group III = duration between 25 and 36 months). In all subjects, PET studies were performed after written informed consents.


    Methods
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 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Evaluation of parkinsonian and cerebellar deficits
We measured the unified Parkinson's disease rating scale (UPDRS) motor score to assess the degree of parkinsonian deficits and the international cooperative ataxia rating scale (ICARS) scores to evaluate the severity of cerebellar deficits (Trouillas et al., 1997Go).

Evaluation of cognitive function
Thirty-five of the 37 patients underwent a standardized neuropsychological test battery (Seoul Neuropsychological Screening Battery) (Kang and Na, 2003Go). The battery consists of various tests evaluating attention, language, praxis, four elements of Gerstmann syndrome, visuoconstructional function, verbal and visual memory, and frontal executive functions. Among them, numerical tests were digit span test (forward and backward), Korean version of the Boston Naming Test (K-BNT) (Kim and Na, 1999Go), Rey–Osterrieth Complex Figure Test (RCFT; copying, immediate and 20-min delayed recall and recognition), Seoul Verbal Learning Test (SVLT; three learning-free recall trials of 12 words, 20-min delayed recall trial for these 12 items and a recognition test), phonemic and semantic Controlled Oral Word Association Test (COWAT) and Stroop Test (word and colour reading of 112 items during a 2-min period). Age-, sex-, and education-specific norms for each test based on 447 healthy subjects were available.

We classified the cognitive function domain into four categories; memory, language, visuospatial function and frontal executive function and the pattern of cognitive dysfunction as single domain or multiple domain impairments. Memory function was evaluated with the delayed recall on the SVLT or the RCFT, language function with K-BNT and visuospatial function with copying score of the RCFT. The results of these numerical cognitive tests were considered as abnormal when the scores were below the 16th percentiles of the norms for the age-, sex- and education-matched controls (Kang and Na, 2003Go). The patients were considered to have frontal executive dysfunction if they showed impairment in at least two of the following three tests: motor executive function tests (contrasting programme, Go/no-go, fist-edge-palm, alternating hand movement, alternative square and triangle drawing and Luria loop), the COWAT and the Stroop Test.

Brain FDG PET studies
Acquisition of FDG PET scan images
After overnight fasting and withdrawal of all anti-parkinsonian medications, FDG PET study was performed in a quiet and dimly lit room with the subjects’ eyes open. After injecting 5.18 MBq/kg of FDG into the antecubital vein, radial arterial blood was sampled nine times at 5 to 10-s intervals for 1 min and then sampled 15 times at 30 s to 10 min of progressively increasing intervals. The [18F]-radioactivity curve was obtained for quantification. Using an Allegro PET scanner (Philips Medical Systems; gadolinium oxyorthosilicate crystals), PET scanning was performed at 45–55 min after injecting FDG. After 1.5 min of transmission, 17 min of emission and a final 1.5 min of transmission scans, three-dimensional (3D) PET image was reconstructed by 3D-RAMLA (3D version of the row action maximum likelihood algorithm).

Brain magnetic resonance imaging (MRI) studies
On the day of PET scan studies, brain MRI studies were performed using 3D spoiled gradient-recalled (3D-SPGR) sequences on 3.0 Tesla MR scanner (Signa EXCITE, GE Medical Systems, Milwaukee, WI). We obtained 160 slices of axial T1-weighted images with a repetition time (TR) of 6.8 ms, a minimum of echo time (TE) between 1.6 and 11.0 ms, a prep time of 300 msec, a flip angle of 20°, a matrix of 256 x 256 and a slice thickness of 1 mm. The resulting 3D-MR image was reformatted parallel to the anterior and posterior commissures (AC-PC) line and centred at the midpoint of AC-PC line. Finally, the image was resampled with a voxel size of 1 x 1 x 1 mm for normalization. We also obtained 32 slices of axial T2-weighted images (TR = 5,250 ms, TE = 120 ms, flip angle = 90°, matrix = 512 x 512 and slice thickness = 5 mm).

Pre-processing of PET and MR images
Individual MR images were used for spatial normalization of the FDG PET image. Normalization was performed automatically with the PFUS module in the software PMOD version 2.75 (PMOD technologies Ltd., Zurich, Switzerland). The subject's FDG PET image was co-registered to individual MR image. Using affine transformation and 12 non-linear iteration by 7 x 8 x 7 basis function, the MR image was transformed to MNI-152 (Montreal Neurological Institute) T1-weighted MRI template. During this step, the individual transformation matrix was obtained and applied to the co-registered FDG PET image. Finally, a spatially normalized FDG PET image was obtained. The fitness of normalized PET and MR images was verified visually in each normalization step.

The parametric PET image was generated by the PMOD with FDG-autoradiography method (lump constant = 0.437, k1 = 0.102, k2 = 0.130, k3 = 0.062, k4 = 0.0068) (Huang et al., 1980Go). Subsequently, an isotropic Gaussian kernel of 12 mm full-width half-maximum (FWHM) was applied to the parametric PET image to improve the signal-to-noise ratio. Finally, this normalized and smoothed parametric PET image was used for statistical analysis.

Statistical parametric mapping
Using the group comparison model covariated with age in SPM2 (Statistical Parametric Mapping; Wellcome Department of Cognitive Neurology, London, UK) implemented to MATLAB 7.0 (MathWorks, Natick, MA), we compared the cerebral glucose metabolism of each subgroup of MSA patients with the controls. A family wise error (FWE)-corrected P-value <0.05 was considered statistically significant.


    Results
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Characteristics and clinical features of patients (Table 1)
Of the 37 patients with mixed type MSA (22 men and 15 women), 17 patients had predominantly parkinsonian features (MSA-P) and the other 20 patients predominantly cerebellar deficits (MSA-C). There were 13 patients in Group I (MSA-P = 4, MSA-C = 9), 12 patients in Group II (MSA-P = 6, MSA-C = 6) and 12 patients in Group III (MSA-P = 7, MSA-C = 5).


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Table 1 Clinical characteristics of the 37 patients with MSA with different disease duration

 
The ages of the patients (median age = 61.0 years, IQR = 55.0–64.5 years) and controls were not different (Mann–Whitney Test, P > 0.05). In addition, the ages of the three groups of MSA patients [median (IQR) age: Group I = 58.0 (51.0–65.0), Group II = 60.5 (49.8–69.0), Group III = 61.0 (57.8–64.5) years] and controls were not significantly different (Kruskal–Wallis Test, P = 0.851). The post hoc comparison between each group and controls also did not show difference (Mann–Whitney Test, P > 0.05). The median (IQR) age of disease onset was 59.0 (53.5–62.5) years. The median (IQR) of disease duration was 15.0 (12.0–27.0) months [Group I = 8.0 (7.0–12.0) months, Group II = 15.5 (14.0–21.0) months, Group III = 32.0 (27.0–34.5) months].

The median (IQR) UPDRS motor score was 23.0 (19.0–33.5) and the median (IQR) ICARS score was 23.0 (18.0–34.5). There was significant difference in the UPDRS motor scores among the three groups (Kruskal–Wallis Test, P = 0.037). However, the ICARS scores were not significantly different among the three groups (Kruskal–Wallis Test, P = 0.164).

Cognitive dysfunction (Table 2)
The median (IQR) K-MMSE score of the 37 patients was 29.0 (27.5–30.0). No patient satisfied the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) criteria for dementia.


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Table 2 Results of neuropsychological tests of the 35 patients with MSA with different disease duration

 
Among 35 patients who underwent neuropsychological tests, only six (17.1%) showed a normal cognitive function in all four domains tested (memory, frontal, visuospatial and language functions). Four of them were in Group I, and the remaining two were in Group II and III. Twenty-nine patients (82.9%) had impairments in at least one cognitive domain. Twenty-three patients (65.7%) had memory impairment, 17 (48.6%) had frontal dysfunction, nine (25.7%) had visuospatial dysfunction and two (5.7) had language dysfunction. Fourteen of the 35 patients (40.0%) had an impairment in a single domain (either memory, frontal, visuospatial or language dysfunction). Fifteen patients (42.9%) had impairments in at least two domains. The individuals with multiple domain impairments were found more frequently in Group III (six patients, 60.0%) than in Group I (four patients, 30.8%) and Group II (five patients, 41.7%).

T2-weighted brain MRI findings (Table 3)
Of the 37 patients with MSA, 34 patients had cerebellar cortical atrophy and 23 patients had hot cross bun sign in the pons. They were frequently found even in Group I patients. About one-third of the patients showed more than moderate degree of atrophy of the posterior putamen. The putaminal rim sign (high signal intensity lines lateral to the putamen) was observed in 13 of the 37 patients. It was found in patients with duration longer than 12 months.


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Table 3 The T2-weighted brain MRI findings related to MSA

 
PET findings (Table 4, Figs 1 and 2)
Patients in Group I showed decreased glucose metabolism in the right lateral and medial frontal cortex (Brodmann area; BA6, 8, 9, 45 and 47), left lateral and medial frontal cortex (BA6, 8, 9, 44 and 45), cerebellar vermis and bilateral anterior cerebellar hemispheres. Group II patients showed hypometabolism in the right lateral frontal cortex (BA4, 6, 8, 9, 10, 45 and 47), left lateral and medial frontal cortex (BA4, 6, 8, 9, 10, 11, 45, 46 and 47), right superior, middle and inferior temporal cortex (BA20, 21, 22 and 42), left superior, middle and inferior temporal cortex (BA21, 37, 39 and 42), left fusiform gyrus (BA20 and 37), right post-central gyrus (BA3, 1 and 2), left angular gyrus (BA39), left precuneus (BA19) and right posterior cingulate cortex (BA31). There were also hypometabolic areas involving bilateral caudate nucleus and left posterolateral putamen. Also, the cerebellar vermis and bilateral cerebellar hemispheres were involved. Comparing to the Group II patients, the basal ganglia hypometabolic area in the Group III patients spread anteromedially to involve the entire putamen and globus pallidus.


Figure 1
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Fig. 1 The projection view (upper) and three-dimensional surface rendering images (lower) of statistical parametric mapping (SPM) analysis show brain areas of reduced glucose metabolism (family wise error-corrected P < 0.05). (A = Group I, B = Group II, C = Group III) Note that hypometabolic brain regions extend from the frontal cortex to the parieto-temporal cortex as the disease duration increases.

 

Figure 2
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Fig. 2 The result of statistical parametric mapping co-registered on the T1-weighted axial magnetic resonance brain image at the level of the basal ganglia. (A) There is no hypometabolic basal ganglia area in Group I patients. (B) There are hypometabolic areas in the left posterolateral putamen and caudate nucleus of Group II patients. (C) In Group III patients, hypometabolism involves whole striatum and extends to the bilateral globi pallidi. (family wise error-corrected P < 0.05; colour bar = t-value).

 

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Table 4 Results of statistical parametric mapping analysis showing brain areas of reduced glucose metabolism (family wise error corrected P < 0.05)

 

    Discussion
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 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Cerebral cortical dysfunction in early MSA
FDG PET studies of MSA patients have reported normal or reduced cerebral cortical glucose metabolism (De Volder et al., 1989Go; Kume et al., 1992Go; Perani et al., 1995Go; Taniwaki et al., 2002Go; Juh et al., 2004Go; Juh et al., 2005Go). However, MSA patients with shorter than a 3-year history of cerebellar or parkinsonian symptoms may show glucose hypometabolism in the primary motor, premotor and pre-frontal cortices (De Volder et al., 1989Go; Otsuka et al., 1996Go).

In the present study, MSA patients with disease duration shorter than 1 year showed frontal hypometabolism, and patients with disease durations longer than a year showed hypometabolism in more widespread cerebral cortical areas involving the frontal, temporal, parietal and cingulate cortices. In contrast to patients with Parkinson's disease, the parieto-temporal association and occipital cortices were preserved (Eidelberg et al., 1994Go; Hu et al., 2000Go). The partial volume effect of the grey matter atrophy can affect the glucose metabolism studied with the brain FDG PET scan. However, in accordance with previous studies (Brenneis et al., 2003Go, 2006Go), voxel-based morphometry of the MR images of the patients included in this study showed atrophy of the perisylvian and orbitofrontal cortical areas. Therefore, cortical atrophy is unlikely to play a major role in the cerebral cortical hypometabolism found in the present study.

In pathological studies of MSA, cerebral cortical changes have not received much attention and inconsistent results on neuronal loss and gliosis of the cerebral cortex have been reported. Some pathological studies showed mild to moderate neuronal loss and adjacent white matter changes in the superior and middle frontal gyri, supplementary motor area, precentral gyrus, postcentral gyrus and inferior parietal lobule (Spargo et al., 1996Go; Wakabayashi et al., 1998Go; Konagaya et al., 1999Go; Tsuchiya et al., 2000Go; Su et al., 2001Go). Neuronal loss and astrocytosis in the layer V of the precentral gyrus was found, even in MSA patients with the disease duration shorter than 3 years (Tsuchiya et al., 2000Go; Su et al., 2001Go). However, a review of 203 pathologically proven MSA patients reported that about 78.4% of the patients had no abnormalities in the cerebral cortex, and only 8.9% had moderate to severe abnormalities (Wenning et al., 1997Go).

Glial cytoplasmic inclusions (GCIs) were found in the frontal lobe, particularly in the supplementary motor, cingulate, primary motor and premotor cortices (Papp and Lantos, 1994Go). The distribution pattern of cerebral cortical GCI is similar to that of cortical neuronal loss (Papp et al., 1989Go; Papp and Lantos, 1994Go; Inoue et al., 1997Go; Su et al., 2001Go). GCI is known to precede neuronal loss and gliosis (Wenning et al., 1994Go; Inoue et al., 1997Go; Wenning and Jellinger, 2005Go). Indeed, a patient who died 15 months after the onset of cerebellar type MSA had GCIs in the precentral gyrus (Wakabayashi et al., 2005Go).

We postulate that the early widespread cortical glucose hypometabolism observed in the present study is more likely caused by cortical GCI than by cortical neuronal loss. Another possible explanation may be damage to the afferent cortical inputs arising from the subcortical nuclei (e.g. locus ceruleus and substantia nigra) (Papp et al., 1989Go; Wenning et al., 1994Go).

Previous studies on cognitive changes in patients with MSA consistently reported frontal executive dysfunction (Robbins et al., 1992Go, 1994Go; Monza et al., 1998Go; Berent et al., 2002Go; Bak et al., 2005Go; Paviour et al., 2005Go; Bürk et al., 2006Go). Accordingly, the present study showed that about half of the MSA patients develop frontal dysfunction within a year after the onset of cerebellar or parkinsonian symptoms. These findings coincide with our FDG PET results showing early medial and lateral frontal glucose hypometabolism.

A previous study reported that about 40% of MSA patients have memory impairment (Bak et al., 2005Go). In the present study, 8 (22.9%) of 35 patients had a single amnestic and 15 (42.9%) had multiple amnestic cognitive impairments. The early memory impairment in patients with MSA can be attributed to the hypometabolism of the prefrontal and inferior frontal cortex (Tulving et al., 1994Go; Buckner and Koutstaal, 1998Go; Buckner et al., 1999Go). The proportion of patients with multiple amnestic cognitive impairments was 30.8% in Group I, and it increased up to 60% in Group III.

Only a small proportion of patients with MSA are known to have visuospatial dysfunction (Bak et al., 2005Go, 2006Go; Bürk et al., 2006Go). However, a longitudinal study showed progressive deterioration of visuospatial function in MSA (Soliveri et al., 2000Go). In the present study, no one had a single visuospatial function domain impairment. However, as the duration of disease increased, the proportion of patients who had visuospatial dysfunction as a component of their multiple domain impairments increased up to 40%. This is in accordance with the spread of frontal hypometabolism to involve parieto-temporal areas.

Language impairment has rarely been reported in patients with MSA (Robbins et al., 1992Go; Bak et al., 2005Go). Two (5.7%) of our patients had language impairment. Our FDG PET studies showed preserved cortical motor and sensory language areas, except left angular gyrus involvement in Group II patients.

Basal ganglia dysfunction in early MSA
Although post-mortem pathological studies of MSA have consistently reported damage to the basal ganglia, its evolution from early disease to the final outcome of neurodegeneration found at autopsy is largely unknown (Fearnley and Lees, 1990Go; Wenning et al., 1995Go; Ozawa et al., 2004Go; Jellinger et al., 2005Go). In previous literatures, we identified post-mortem pathological findings of 10 MSA patients who died within 3 years after the onset (Papp et al., 1989Go; Fearnley and Lees, 1990Go; Kume et al., 1993Go; Su et al., 2001Go; Wakabayashi et al., 2005Go). Except one patient with pure olivopontocerebellar pathology (Wakabayashi et al., 2005Go), the others had variable degree neuronal loss in the putamen, caudate and substantia nigra.

Although our Group I patients had parkinsonian motor deficits ranging from 9 to 38 on UPDRS motor score, they showed no striatal hypometabolism. In MSA, calcineurin positive medium spiny striatal neurons are depleted severely in the dorsolateral part of the posterior putamen, but choline acetyltransferase positive striatal neurons are preserved (Sato et al., 2007Go). The nigrostriatal dopaminergic terminals comprise less than one-fifth of the striatal synapses (Tennyson et al., 1974Go; Pickel et al., 1981Go). Therefore, in early MSA, the additive effect of selective striatal neuronal loss and partial damage to the nigrostriatal neurons may cause parkinsonian deficits, but too small changes in striatal synaptic activity to be detected by FDG PET studies. A multi-tracer PET study of the nine MSA patients also showed no correlation between the degree of putaminal FDG uptake and the severity of parkinsonian motor deficits (Antonini et al., 1997Go). Another possible explanation may be non-specific contamination of UPDRS motor scores by cerebellar motor slowing (Tison et al., 2002Go).

In our study, as expected, Group II and III patients had more severe parkinsonian motor deficits than Group I patients. In Group II, glucose metabolism was reduced in the caudate nucleus and posterolateral putamen. It is interesting to note the early involvement of the posterolateral putamen, where the somatic motor inputs from the cerebral cortex and the nigrostriatal dopaminergic terminals are connected (Hedreen and DeLong, 1991Go). The caudate receives afferent fibres mainly from the prefrontal cortex (Hedreen and DeLong, 1991Go; Lehericy et al., 2004Go). Therefore, dysfunction of the caudate may contribute to frontal executive dysfunction observed in our patients (Alexander and Crutcher, 1990Go).

In Group III, the basal ganglia hypometabolic area extended to involve whole putamen and globus pallidus. Such changes may be caused by reduced activities of afferent inputs to the pallidum and striatum, as well as loss of striatal and pallidal intrinsic neurons (Papp et al., 1989Go).

Cerebellar dysfunction in early MSA
In MSA, there is neuronal loss in the pontine nuclei, inferior olivary nucleus, cerebellar hemisphere and cerebellar vermis (Papp and Lantos, 1994Go; Wenning et al., 1996Go; Jellinger et al., 2005Go). There is a deposition of many GCIs and extensive myelin loss in the cerebellar white matter, middle cerebellar peduncle and basis pontis (Papp et al., 1989Go; Papp and Lantos, 1994Go; Inoue et al., 1997Go; Tsuchiya et al., 1998Go; Su et al., 2001Go; Wakabayashi et al., 2005Go). Such changes are remarkable even in the early stage of the disease, when the loss of Purkinje cells in the cerebellar cortex is not evident or mild (Papp et al., 1989Go; Inoue et al., 1997Go; Su et al., 2001Go; Wakabayashi et al., 2005Go).

In the present study, the cerebellar vermis and the anterior cerebellar hemisphere were involved within 1 year after the onset of parkinsonian or cerebellar symptoms. These findings are in accordance with pathological studies that have shown predominant involvement of anterior cerebellar hemisphere (Kume et al., 1991Go; Wenning et al., 1996Go).

In summary, this is the first in vivo FDG PET study showing a pattern of progression of metabolic changes in the brains of mixed type MSA patients. However, community-based longitudinal FDG PET studies are needed to verify the results of the present study.


    Acknowledgements
 
J.O.R. was supported by clinical grants of Turku University Hospital, by the Academy of Finland and by the Sigrid Juselius Foundation.


    References
 Top
 Summary
 Introduction
 Methods
 Results
 Discussion
 References
 
Alexander GE, Crutcher MD. Functional architecture of basal ganglia circuits: neural substrates of parallel processing. Trends Neurosci (1990) 13:266–71.[CrossRef][Web of Science][Medline]

Antonini A, Leenders KL, Vontobel P, Maguire RP, Missimer J, Psylla M, et al. Complementary PET studies of striatal neuronal function in the differential diagnosis between multiple system atrophy and Parkinson's disease. Brain (1997) 120:2187–95.[Abstract/Free Full Text]

Apaydin H, Ahlskog JE, Parisi JE, Boeve BF, Dickson DW. Parkinson disease neuropathology: later-developing dementia and loss of the levodopa response. Arch Neurol (2002) 59:102–12.[Abstract/Free Full Text]

Bürk K, Daum I, Rüb U. Cognitive function in multiple system atrophy of the cerebellar type. Mov Disord (2006) 21:772–6.[CrossRef][Web of Science][Medline]

Bak TH, Caine D, Hearn VC, Hodges JR. Visuospatial functions in atypical parkinsonian syndromes. J Neurol Neurosurg Psychiatry (2006) 77:454–6.[Abstract/Free Full Text]

Bak TH, Crawford LM, Hearn VC, Mathuranath PS, Hodges JR. Subcortical dementia revisited: similarities and differences in cognitive function between progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and multiple system atrophy (MSA). Neurocase (2005) 11:268–73.[CrossRef][Web of Science][Medline]

Berent S, Giordani B, Gilman S, Trask CL, Little RJ, Johanns JR, et al. Patterns of neuropsychological performance in multiple system atrophy compared to sporadic and hereditary olivopontocerebellar atrophy. Brain Cogn (2002) 50:194–206.[CrossRef][Web of Science][Medline]

Brenneis C, Boesch SM, Egger KE, Seppi K, Scherfler C, Schocke M, et al. Cortical atrophy in the cerebellar variant of multiple system atrophy: a voxel-based morphometry study. Mov Disord (2006) 21:159–65.[CrossRef][Web of Science][Medline]

Brenneis C, Seppi K, Schocke MF, Muller J, Luginger E, Bosch S, et al. Voxel-based morphometry detects cortical atrophy in the Parkinson variant of multiple system atrophy. Mov Disord (2003) 18:1132–8.[CrossRef][Web of Science][Medline]

Buckner RL, Kelley WM, Petersen SE. Frontal cortex contributes to human memory formation. Nat Neurosci (1999) 2:311–4.[CrossRef][Web of Science][Medline]

Buckner RL, Koutstaal W. Functional neuroimaging studies of encoding, priming, and explicit memory retrieval. Proc Natl Acad Sci USA (1998) 95:891–8.[Abstract/Free Full Text]

Cilia R, Marotta G, Benti R, Pezzoli G, Antonini A. Brain SPECT imaging in multiple system atrophy. J Neural Transm (2005) 112:1635–45.[CrossRef][Web of Science][Medline]

De Volder AG, Francart J, Laterre C, Dooms G, Bol A, Michel C, et al. Decreased glucose utilization in the striatum and frontal lobe in probable striatonigral degeneration. Ann Neurol (1989) 26:239–47.[CrossRef][Web of Science][Medline]

Eidelberg D, Moeller JR, Dhawan V, Spetsieris P, Takikawa S, Ishikawa T, et al. The metabolic topography of parkinsonism. J Cereb Blood Flow Metab (1994) 14:783–801.[Web of Science][Medline]

Eidelberg D, Takikawa S, Moeller JR, Dhawan V, Redington K, Chaly T, et al. Striatal hypometabolism distinguishes striatonigral degeneration from Parkinson's disease. Ann Neurol (1993) 33:518–27.[CrossRef][Web of Science][Medline]

Fearnley JM, Lees AJ. Striatonigral degeneration. A clinicopathological study. Brain (1990) 113:1823–42.[Abstract/Free Full Text]

Gilman S, Low PA, Quinn N, Albanese A, Ben-Shlomo Y, Fowler CJ, et al. Consensus statement on the diagnosis of multiple system atrophy. J Neurol Sci (1999) 163:94–8.[CrossRef][Web of Science][Medline]

Hedreen JC, DeLong MR. Organization of striatopallidal, striatonigral, and nigrostriatal projections in the macaque. J Comp Neurol (1991) 304:569–95.[CrossRef][Web of Science][Medline]

Hu MT, Taylor-Robinson SD, Chaudhuri KR, Bell JD, Labbe C, Cunningham VJ, et al. Cortical dysfunction in non-demented Parkinson's disease patients: a combined (31)P-MRS and (18)FDG-PET study. Brain (2000) 123:340–52.[Abstract/Free Full Text]

Huang SC, Phelps ME, Hoffman EJ, Sideris K, Selin CJ, Kuhl DE. Noninvasive determination of local cerebral metabolic rate of glucose in man. Am J Physiol (1980) 238:E69–82.[Web of Science][Medline]

Inoue M, Yagishita S, Ryo M, Hasegawa K, Amano N, Matsushita M. The distribution and dynamic density of oligodendroglial cytoplasmic inclusions (GCIs) in multiple system atrophy: a correlation between the density of GCIs and the degree of involvement of striatonigral and olivopontocerebellar systems. Acta Neuropathol (Berl) (1997) 93:585–91.[CrossRef][Medline]

Jellinger KA, Seppi K, Wenning GK. Grading of neuropathology in multiple system atrophy: proposal for a novel scale. Mov Disord (2005) 20(Suppl 12):S29–36.[CrossRef][Medline]

Juh R, Kim J, Moon D, Choe B, Suh T. Different metabolic patterns analysis of Parkinsonism on the 18F-FDG PET. Eur J Radiol (2004) 51:223–33.[CrossRef][Web of Science][Medline]

Juh R, Pae CU, Lee CU, Yang D, Chung Y, Suh T, et al. Voxel based comparison of glucose metabolism in the differential diagnosis of the multiple system atrophy using statistical parametric mapping. Neurosci Res (2005) 52:211–9.[CrossRef][Web of Science][Medline]

Kang Y, Na DL. Seoul Neuropsychological Screening Battery (2003) Incheon: Human Brain Research & Consulting Company,

Kim H, Na DL. Normative data on the Korean version of the Boston naming test. J Clin Exp Neuropsychol (1999) 21:127–33.[Web of Science][Medline]

Konagaya M, Sakai M, Matsuoka Y, Konagaya Y, Hashizume Y. Multiple system atrophy with remarkable frontal lobe atrophy. Acta Neuropathol (Berl) (1999) 97:423–8.[CrossRef][Medline]

Kume A, Shiratori M, Takahashi A, Kato T, Ito K, Tadokoro M, et al. Hemi-parkinsonism in multiple system atrophy: a PET and MRI study. J Neurol Sci (1992) 110:37–45.[CrossRef][Web of Science][Medline]

Kume A, Takahashi A, Hashizume Y. Neuronal cell loss of the striatonigral system in multiple system atrophy. J Neurol Sci (1993) 117:33–40.[CrossRef][Web of Science][Medline]

Kume A, Takahashi A, Hashizume Y, Asai J. A histometrical and comparative study on Purkinje cell loss and olivary nucleus cell loss in multiple system atrophy. J Neurol Sci (1991) 101:178–86.[CrossRef][Web of Science][Medline]

Lehericy S, Ducros M, Van de Moortele PF, Francois C, Thivard L, Poupon C, et al. Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans. Ann Neurol (2004) 55:522–9.[CrossRef][Web of Science][Medline]

Matsui H, Udaka F, Miyoshi T, Hara N, Tamura A, Oda M, et al. Brain perfusion differences between Parkinson's disease and multiple system atrophy with predominant parkinsonian features. Parkinsonism Relat Disord (2005) 11:227–32.[CrossRef][Web of Science][Medline]

Monza D, Soliveri P, Radice D, Fetoni V, Testa D, Caffarra P, et al. Cognitive dysfunction and impaired organization of complex motility in degenerative parkinsonian syndromes. Arch Neurol (1998) 55:372–8.[Abstract/Free Full Text]

Otsuka M, Ichiya Y, Kuwabara Y, Hosokawa S, Sasaki M, Yoshida T, et al. Glucose metabolism in the cortical and subcortical brain structures in multiple system atrophy and Parkinson's disease: a positron emission tomographic study. J Neurol Sci (1996) 144:77–83.[CrossRef][Web of Science][Medline]

Ozawa T, Paviour D, Quinn NP, Josephs KA, Sangha H, Kilford L, et al. The spectrum of pathological involvement of the striatonigral and olivopontocerebellar systems in multiple system atrophy: clinicopathological correlations. Brain (2004) 127:2657–71.[Abstract/Free Full Text]

Papp MI, Kahn JE, Lantos PL. Glial cytoplasmic inclusions in the CNS of patients with multiple system atrophy (striatonigral degeneration, olivopontocerebellar atrophy and Shy–Drager syndrome). J Neurol Sci (1989) 94:79–100.[CrossRef][Web of Science][Medline]

Papp MI, Lantos PL. The distribution of oligodendroglial inclusions in multiple system atrophy and its relevance to clinical symptomatology. Brain (1994) 117:235–43.[Abstract/Free Full Text]

Paviour DC, Winterburn D, Simmonds S, Burgess G, Wilkinson L, Fox NC, et al. Can the frontal assessment battery (FAB) differentiate bradykinetic rigid syndromes? Relation of the FAB to formal neuropsychological testing. Neurocase (2005) 11:274–82.[CrossRef][Web of Science][Medline]

Perani D, Bressi S, Testa D, Grassi F, Cortelli P, Gentrini S, et al. Clinical/metabolic correlations in multiple system atrophy. A fludeoxyglucose F 18 positron emission tomographic study. Arch Neurol (1995) 52:179–85.[Abstract/Free Full Text]

Pickel VM, Beckley SC, Joh TH, Reis DJ. Ultrastructural immunocytochemical localization of tyrosine hydroxylase in the neostriatum. Brain Res (1981) 225:373–85.[CrossRef][Web of Science][Medline]

Robbins TW, James M, Lange KW, Owen AM, Quinn NP, Marsden CD. Cognitive performance in multiple system atrophy. Brain (1992) 115:271–91.[Abstract/Free Full Text]

Robbins TW, James M, Owen AM, Lange KW, Lees AJ, Leigh PN, et al. Cognitive deficits in progressive supranuclear palsy, Parkinson's disease, and multiple system atrophy in tests sensitive to frontal lobe dysfunction. J Neurol Neurosurg Psychiatry (1994) 57:79–88.[Abstract/Free Full Text]

Sato K, Kaji R, Matsumoto S, Goto S. Cell type-specific neuronal loss in the putamen of patients with multiple system atrophy. Mov Disord (2007) 22:738–42.[CrossRef][Web of Science][Medline]

Soliveri P, Monza D, Paridi D, Carella F, Genitrini S, Testa D, et al. Neuropsychological follow up in patients with Parkinson's disease, striatonigral degeneration-type multisystem atrophy, and progressive supranuclear palsy. J Neurol Neurosurg Psychiatry (2000) 69:313–8.[Abstract/Free Full Text]

Spargo E, Papp MI, Lantos PL. Decrease in neuronal density in the cerebral cortex in multiple system atrophy. Eur J Neurol (1996) 3:450–6.[Web of Science]

Su M, Yoshida Y, Hirata Y, Watahiki Y, Nagata K. Primary involvement of the motor area in association with the nigrostriatal pathway in multiple system atrophy: neuropathological and morphometric evaluations. Acta Neuropathol (Berl) (2001) 101:57–64.[Medline]

Taniwaki T, Nakagawa M, Yamada T, Yoshida T, Ohyagi Y, Sasaki M, et al. Cerebral metabolic changes in early multiple system atrophy: a PET study. J Neurol Sci (2002) 200:79–84.[CrossRef][Web of Science][Medline]

Tennyson VM, Heikkila R, Mytilineou C, Cote L, Cohen G. 5-Hydroxydopamine ‘tagged’ neuronal boutons in rabbit neostriatum: interrelationship between vesicles and axonal membrane. Brain Res (1974) 82:341–8.[CrossRef][Web of Science][Medline]

Tison F, Yekhlef F, Balestre E, Chrysostome V, Quinn N, Wenning GK, et al. Application of the International Cooperative Ataxia Scale rating in multiple system atrophy. Mov Disord (2002) 17:1248–54.[CrossRef][Web of Science][Medline]

Trouillas P, Takayanagi T, Hallett M, Currier RD, Subramony SH, Wessel K, et al. International Cooperative Ataxia Rating Scale for pharmacological assessment of the cerebellar syndrome. The Ataxia Neuropharmacology Committee of the World Federation of Neurology. J Neurol Sci (1997) 145:205–11.[CrossRef][Web of Science][Medline]

Tsuchiya K, Ozawa E, Haga C, Watabiki S, Ikeda M, Sano M, et al. Constant involvement of the Betz cells and pyramidal tract in multiple system atrophy: a clinicopathological study of seven autopsy cases. Acta Neuropathol (Berl) (2000) 99:628–36.[CrossRef][Medline]

Tsuchiya K, Watabiki S, Sano M, Iobe H, Shiotsu H, Taki K, et al. Distribution of cerebellar cortical lesions in multiple system atrophy: a topographic neuropathological study of three autopsy cases in Japan. J Neurol Sci (1998) 155:80–5.[CrossRef][Web of Science][Medline]

Tulving E, Kapur S, Craik FI, Moscovitch M, Houle S. Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings. Proc Natl Acad Sci USA (1994) 91:2016–20.[Abstract/Free Full Text]

Wakabayashi K, Ikeuchi T, Ishikawa A, Takahashi H. Multiple system atrophy with severe involvement of the motor cortical areas and cerebral white matter. J Neurol Sci (1998) 156:114–7.[CrossRef][Web of Science][Medline]

Wakabayashi K, Mori F, Nishie M, Oyama Y, Kurihara A, Yoshimoto M, et al. An autopsy case of early ("minimal change") olivopontocerebellar atrophy (multiple system atrophy-cerebellar). Acta Neuropathol (Berl) (2005) 110:185–90.[CrossRef][Medline]

Wenning GK, Ben-Shlomo Y, Magalhaes M, Daniel SE, Quinn NP. Clinicopathological study of 35 cases of multiple system atrophy. J Neurol Neurosurg Psychiatry (1995) 58:160–6.[Abstract/Free Full Text]

Wenning GK, Jellinger KA. The role of alpha-synuclein in the pathogenesis of multiple system atrophy. Acta Neuropathol (Berl) (2005) 109:129–40.[CrossRef][Medline]

Wenning GK, Quinn N, Magalhaes M, Mathias C, Daniel SE. "Minimal change" multiple system atrophy. Mov Disord (1994) 9:161–6.[CrossRef][Web of Science][Medline]

Wenning GK, Tison F, Ben Shlomo Y, Daniel SE, Quinn NP. Multiple system atrophy: a review of 203 pathologically proven cases. Mov Disord (1997) 12:133–47.[CrossRef][Web of Science][Medline]

Wenning GK, Tison F, Elliott L, Quinn NP, Daniel SE. Olivopontocerebellar pathology in multiple system atrophy. Mov Disord (1996) 11:157–62.[CrossRef][Web of Science][Medline]


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