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February 01, 1999; 52 (3) Articles

Motor correlates of occipital glucose hypometabolism in Parkinson’s disease without dementia

N.I. Bohnen, S. Minoshima, B. Giordani, K.A. Frey, D.E. Kuhl
First published February 1, 1999, DOI: https://doi.org/10.1212/WNL.52.3.541
N.I. Bohnen
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S. Minoshima
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B. Giordani
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K.A. Frey
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D.E. Kuhl
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Motor correlates of occipital glucose hypometabolism in Parkinson’s disease without dementia
N.I. Bohnen, S. Minoshima, B. Giordani, K.A. Frey, D.E. Kuhl
Neurology Feb 1999, 52 (3) 541; DOI: 10.1212/WNL.52.3.541

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Abstract

Objective: To determine whether occipital reduction in regional cerebral glucose metabolism in PD reflects retinal versus nigrostriatal dopaminergic degeneration. We hypothesized that occipital glucose metabolic reduction should be symmetric if parkinsonian retinopathy is responsible for the reduction.

Methods: PD patients without dementia (n = 29; age 63 ± 10 years) and normal controls (n = 27; age 60 ± 12 years) underwent [18F]fluorodeoxyglucose PET imaging. Regional cerebral glucose metabolic rates were assessed quantitatively.

Results: When compared with normal controls, PD patients showed most severe glucose metabolic reduction in the primary visual cortex (mean −15%, p < 0.001). Occipital glucose metabolic reduction was greater in the hemisphere contralateral to the side of the body affected initially or more severely in PD. There was an inverse correlation between side-to-side asymmetries in finger-tapping performance and occipital glucose metabolic reduction (r = −0.45, p < 0.05; n = 28). The correlation was strongest in patients with a relatively early stage of PD with more unilateral motor impairment (Hoehn and Yahr stage I, r = −0.74, p < 0.01; n = 10).

Conclusion: The results indicate a pathophysiologic association between nigrostriatal dysfunction and occipital glucose metabolic reduction in PD.

We previously compared regional cerebral glucose metabolism in patients with PD with dementia and AD and found a greater metabolic reduction in the primary visual cortex in PD.1 Glucose metabolic or blood flow reduction in the occipital cortex in patients with PD with or without dementia and 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced parkinsonian primates has been observed frequently, but its pathophysiology is unknown.2-7

Abnormalities of visual contrast sensitivities, visual evoked potentials, and EEG driving response were reported in PD.8 In addition, degeneration of dopaminergic cells in the retina of patients with PD was indicated, and dopaminergic treatment improved abnormal visual contrast sensitivity.9,10 These abnormalities in the retina or anterior visual tract were thought to be responsible, at least in part, for the glucose metabolic or blood flow reduction in the primary visual cortex in PD.1

There may be another explanation for occipital glucose hypometabolism in PD involving the basal ganglia based on findings of impaired saccadic eye movements and visuospatial attention in parkinsonian animal models. For example, in primates, unilateral MPTP infusions in the caudate head cause impaired saccadic eye movements toward the contralesional hemispace for spontaneous and memory-guided eye movements.11 Monkeys were able to make saccadic eye movements into the contralateral hemispace when a single visual stimulus was presented, but ignored the contralateral stimulus when two stimuli were presented simultaneously, indicating the neglect of the hemispace.12

This study was designed to address whether reduction in occipital glucose metabolism in PD reflects retinal versus nigrostriatal dopaminergic degeneration. We believed that parkinsonian retinopathy would cause symmetric occipital hypometabolism based on bilateral retinal input to the occipital cortices. In contrast, asymmetric occipital metabolic reduction would result from asymmetric striatonigral degeneration. To test this, we first analyzed differences in the mean regional cerebral metabolic rate of glucose (CMRglc) between nondemented PD patients and normal controls. Second, we compared differences in mean occipital CMRglc between the hemisphere ipsilateral to the body side more severely affected by the disease and the contralateral hemisphere. Finally, we correlated metabolic data with side-to-side asymmetries in finger-tapping performance in PD patients.

Methods.

Subjects.

Twenty-nine right-handed patients with idiopathic PD (ages 63 ± 10 years; 21 men and 8 women) were clinically staged according to the Hoehn and Yahr scale.13 Ten patients were in stage I, 16 in stage II, and 3 in stage III. They were recruited from the Movement Disorders Clinic at The University of Michigan Medical Center, and their clinical symptoms were examined by neurologists.

All patients were taking levodopa treatment at the time of the PET imaging and clinical examination. Seventeen patients were taking 2.5 to 10 mg of deprenyl, and 4 were taking dopamine receptor agonists; 3 patients were on low doses of anticholinergic medications. One patient was taking 0.1 mg clonazepam at night. Patients were also classified based on initial or more severely affected hemi-body involvement (left, 12; right, 17 patients). Patients underwent neuropsychological assessment to exclude the presence of dementia. Subjects were excluded if Mini-Mental State Examination score (MMSE)14 was less than 24. The mean MMSE score was 27.9 (SD 1.7, range 24 to 30) in the PD patients. Finger-tapping performance (n = 28) was assessed for both the dominant and nondominant hand by averaging numbers of thumb-to-index finger tapping during a 10-second period over five trials.

Twenty-seven age-matched controls (age 60 ± 12 years; 12 men and 15 women) with no history of neurologic, psychiatric, or major medical diseases were also included in the study. They had a normal neurologic examination on the day of the PET. The mean MMSE score was 28.1 (SD 1.1, range 26 to 30) in the normal subjects (n = 20).

PET cerebral glucose metabolic imaging.

PET was performed using a Siemens ECAT-931 scanner (model 931/08-12, CTI Inc., Knoxville, TN), which collects 15 simultaneous slices with a slice-to-slice separation of 6.75 mm. After overnight fasting, the subjects were scanned in a quiet, dimly lit room with their eyes kept open during the study. Thirty minutes after IV administration of 370 MBq (10 mCi) [18F]-2-fluoro-2-deoxy-d-glucose, a 30-minute emission scan was collected. Images were reconstructed using a Shepp filter with a cutoff frequency of 0.35 cycles per projection element, and attenuation correction was calculated using a standard ellipse fitting method, resulting in in-plane imaging resolution of 7 to 8 mm full width half maximum. Quantitative CMRglcs were calculated by a standard single scan method using an input function obtained from the radial artery.15

Data analysis.

The quantitative parametric images were transformed to the bicommissural stereotactic coordinate system16 using a method described previously.17 Regional CMRglc values were analyzed with stereotactically defined cortical and subcortical volumes of interest (VOIs) and pixel-by-pixel analysis using a three-dimensional stereotactic surface projections technique.18 Predefined cortical VOIs included the following Brodmann areas predefined on a standard stereotactic atlas16: lateral parietal association cortex 5, 7, 39, and 40; lateral temporal association cortex 21, 22, 37, and 38; lateral frontal association cortex 6, 8, 9, 10, 11, 44, 45, 46, and 47; lateral occipital association cortex 18 and 19; primary visual cortex 17; primary sensorimotor cortex 1, 2, 3, and 4; posterior cingulate cortex 23 and 31; and anterior cingulate cortex 24 and 32. VOIs were also defined for the striatum (including both caudate nucleus and putamen), thalamus, and cerebellar hemisphere. The whole brain activity was defined as an average of all gray matter structures. Asymmetry indices were calculated using VOI values as the right-left difference between hemispheres. Similarly, a finger-tapping index was calculated as the difference between the dominant and the nondominant hand (all patients in this study were right-handed). Because of baseline differences in mean occipital CMRglc (the right greater than the left) and finger tapping between dominant and nondominant hands in normal controls, patient data (asymmetry indices) were normalized by Z scores using normal control data: Z-score(difference) = (PD(difference) − Nmean(difference))/Nsd(difference), where Nmean(difference) and Nsd(difference) represent the mean and SD of asymmetry indices in the normal control subjects. PDdifference represents the patient’s individual asymmetry index. In this study, early-stage PD was defined as Hoehn and Yahr stage I, and later-stage PD as stage II or III. Pearson correlation analysis was used for correlational analysis between continuous variables. One-tailed significance levels were used for testing of unidirectional a priori hypothesis as stated in the introduction. A probability level of less than 0.05 was considered to be statistically significant.

Results.

Glucose metabolic reduction in PD was most pronounced in the visual cortex (p < 0.001) followed by the posterior cingulate cortex, visual association cortex, and parietal association cortex (table). There was no significant difference in temporal or overall frontal CMRglc between the two groups. Striatal CMRglc did not show significant reductions in this study. Subgroup analysis of CMRglc in the primary visual cortex failed to demonstrate significant differences in visual cortical CMRglc between early- and later-stage PD groups (right primary visual cortex: 7.65 ± 1.26 versus 7.55 ± 1.04 mg/100 g/min, respectively, t = 0.21; left primary visual cortex: 7.68 ± 1.42 versus 7.30 ± 0.94 mg/100 g/min, respectively, t = 0.77).

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Table 1.

Cerebral glucose metabolism in normal controls (N) and patients with PD

The spatial extent and regional magnitude of CMRglc differences between PD patients and normal controls were also confirmed by pixel-by-pixel analysis (figure 1). The most prominent glucose metabolic reduction was evident in the primary visual cortex. Interestingly, mild glucose metabolic reduction in the association cortices with sparing of the primary sensorimotor cortex, a pattern similar to other neurodegenerative diseases such as AD, was noted in this group of nondemented PD patients, although a formal statistical inference was not made on a pixel-by-pixel basis because we did not hypothesize such changes.

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Figure 1. Glucose metabolic reduction in PD without dementia. Mean glucose metabolic activities (CMRglc) of normal controls (N) and patients with PD and two-sample t statistic comparison between the two groups (converted to Z maps) are demonstrated in the three-dimensional stereotactic surface projections format.18 On Z maps, higher pixel intensity represents more severe metabolic reduction in PD. Lateral (LAT) and medial (MED) aspects of the right (RT) and left (LT) hemispheres are shown. Metabolic reduction in the occipital cortex in PD is evident.

In PD, CMRglc in the visual cortex contralateral to the initially or more severely affected body side was significantly reduced when compared with the ipsilateral visual cortex: 7.43 ± 1.06 versus 7.58 ± 1.16 mg/100 g/min, respectively (paired t = −2.15; p < 0.05). This asymmetry was also evident when hemispheric values were normalized to the baseline hemispheric differences in CMRglc in normal controls (figure 2). There was an inverse correlation between asymmetry Z scores in visual cortical CMRglc and finger-tapping performance (r = −0.45, p < 0.05; n = 28, figure 3). Subgroup analyses showed that the inverse correlation between asymmetries in finger-tapping performance and occipital CMRglc was greater in early-stage PD (r = −0.74, p < 0.01; n = 10). When the disease progressed to a later stage, there was a 25% overall metabolic reduction in the visual cortex (mean right-left averaged Z scores decreased from −0.83 at stage I to −1.04 at stages II and III, see also figure 2). The inverse correlation was still significant (r = −0.47, p < 0.05; n = 18), but less than that in the early stage. In contrast, correlation between asymmetries in finger-tapping performance and overall frontal CMRglc did not reach statistical significance (r = 0.007, p = 0.97 in all 28 patients; r = −0.51, p = 0.13 in the early stage; r = 0.25, p = 0.31 in the late stage).

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Figure 2. Glucose metabolic asymmetry in the primary visual cortex contralateral (CONTRA) and ipsilateral (IPSI) to the side of the body affected initially or more severely in patients with PD (left: Hoehn and Yahr stage I; right: stages II and III). The individual metabolic data are represented as Z scores (normalized to the baseline hemispheric differences in normal controls) and connected with a solid line within the same subject. Dashed lines with open circles represent mean values for ipsilateral and contralateral hemispheres. Greater glucose metabolic reduction in the contralateral hemisphere is seen particularly in the earlier stage of the disease. Overall glucose metabolism in the visual cortex is reduced in the later stage of the disease.

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Figure 3. Correlation between asymmetry Z scores in finger-tapping performance and visual cortical glucose metabolism in patients with PD without dementia. Inverse correlation between these two indices is evident.

Discussion.

The current results confirm previous findings of occipital hypoperfusion and glucose hypometabolism in PD.1-7 Extending this finding, we found an inverse correlation between side-to-side asymmetries in performance in finger tapping and an occipital CMRglc asymmetry index, greatest in patients with early-stage PD, suggesting a pathophysiologic association between nigrostriatal dysfunction and occipital hypometabolism. We did not find symmetric reduction in occipital CMRglc in early PD. Parkinsonian retinopathy would likely cause symmetric reduction in occipital glucose metabolism based on bilateral retinal input to the occipital cortices. This observation may give us an important clue to understanding the pathophysiology of occipital hypometabolism in PD.

Asymmetric degeneration of dopaminergic nigrostriatal pathways is the major pathogenetic mechanism underlying the motor symptoms of idiopathic PD, and inter-hemispheric comparison in patients with asymmetric PD provides a model to explore underlying central pathogenesis. Cortical hypometabolism could result from primary cortical pathology or deafferentation from subcortical structures. Although deafferentation from dopaminergic sites alone, such as the nigrostriatal system, could produce this occipital cortical glucose hypometabolism, several other neurotransmitter systems may also be affected in PD.19

Another explanation for occipital glucose hypometabolism in PD may reflect impairment of saccadic eye movement, visuospatial neglect, or both.11-12 For example, a recent study reported clinical evidence for subtle hemispatial neglect in PD patients.20 Impaired saccadic eye movements and hemispatial neglect in PD may result from degeneration of nigrostriatal projections to the brainstem saccade generator system, superior colliculus, and thalamus with secondary projections to the posterior parietal and frontal cortex.21,22

The parietal cortex has been the brain structure most often associated with visuospatial attention and hemispatial neglect.22-24 A recent PET study on the functional localization of the system for visuospatial attention in humans demonstrated neocortical activation in the right anterior cingulate cortex, the right posterior parietal cortex, and premotor cortices.23 In a PET study of visual attention Vandenberghe et al.24 compared cerebral activation during visuospatial attention and attention to perceptual attributes (orientation discrimination). These authors found that five regions were more activated during orientation discrimination than during stimulus detection: the inferior occipital cortex, right putamen, superior parietal lobe, anterior cingulate cortex, and bilateral upper premotor areas. We found in our study a greater glucose metabolic reduction in the primary visual than in the parietal cortex. Therefore, we may speculate that visuospatial attentional abnormalities may not be primarily responsible for the reduced occipital metabolism observed in our study. A different explanation may reflect deactivation of the visual cortex during eye movements. Wenzel et al.25 found a mean decrease of 12.8% in occipital blood flow in normal volunteers during cold caloric nystagmus. Similarly, Paus et al.26 found reduced perfusion to the visual cortex during saccadic eye movements in humans. These findings raise the question of regional cortical deactivation for sensorimotor control. Functional downregulation of the visual cortex may be a basic mechanism of sensorimotor control protecting the visual system from nonfocused retinal input in a patient with limited abilities to rapidly adjust head position and eye fixation in a changing environment. It is unclear whether impaired subcortical or cortical control of eye movements in PD may lead to occipital glucose hypometabolism.

In neurodegenerative diseases, as a disease process evokes a cascade of pathophysiologic changes, it is important to examine an early stage of the disease that is minimally affected by secondary changes. The inverse correlation between finger-tapping performance and occipital CMRglc was best demonstrated in the early stage of PD, and the correlation became less significant in the later stage. This indicates that the variation in occipital CMRglc asymmetry in the later stage of PD cannot be explained by motor-related pathophysiology alone, and other pathologic processes may also be contributing to occipital glucose hypometabolism. As indicated by several investigators, not only subcortical but also cortical pathology occurs in PD.27 Cortical pathology developing in a relatively later stage of PD may affect cerebral cortical glucose metabolism including the occipital cortex. Overall occipital glucose metabolism was actually decreased in the later stage of PD in this study (average 25%, see also figure 2). We also showed previously greater cortical glucose metabolic reduction including the occipital cortex in more advanced PD patients.1 Pathophysiologic mechanisms of occipital glucose hypometabolism other than the motor-related component need to be investigated further.

We did not formally document visual function or give specific peri-injectal instructions to control mental set or eye movements at the time of PET imaging. However, we followed a standard procedure employed in our laboratory by keeping the subjects with eyes open in a dimly lit room. It should be noted that reduced visual function with decreased retinal input would still be projected to the occipital cortex bilaterally. None of our subjects had hemianopsia. Specific instructions to control mental set may sometimes lead to unwanted regional cerebral activation, which was not wanted in our study of resting cerebral glucose metabolism.

The effects of drug treatment taken by the PD patients cannot be excluded. However, significant treatment effects on cerebral glucose metabolism were not found when studying PD patients with and without dopaminergic medication.28 It is also unlikely that the low doses of anticholinergic medications taken by three patients significantly affect cerebral glucose metabolism asymmetrically in the primary visual cortex. Moreover, there are no data to suggest that such medications preferentially affect visual cortical glucose metabolism.

Reduced occipital glucose metabolic activity has also been observed in patients with PD with dementia1 and autopsy-proven diffuse Lewy body disease,29,30 suggesting that pathologic and neurochemical abnormalities common to PD, PD with dementia, and diffuse Lewy body disease may be responsible for the metabolic reduction in the visual cortex. The degree of occipital glucose hypometabolism in diffuse Lewy body disease was greater when compared with PD (23% versus 15%). It is unknown whether the parietotemporal and frontal metabolic reductions observed in our nondemented PD patients are preclinical evidence of cortical degeneration.

Acknowledgments

Supported in part by grant no. R01-NS24896 from the National Institutes of Health and grant no. DE-FG02-87-ER60561 from the Department of Energy.

Acknowledgment

The authors thank Drs. Stanley Berent and Roger L. Albin for their continuing support, Dr. Robert A. Koeppe for his assistance in collecting PET data, PET technologists for their skillful performance in data acquisition, and cyclotron operators and chemists for their production of [18F]fluorodeoxyglucose.

  • Received November 27, 1997.
  • Accepted October 24, 1998.

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Neurology | Print ISSN:0028-3878
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