Abstract
Objective
To evaluate brain 18Fluorodeoxyglucose PET (FDG-PET) differences among patients with a clinical diagnosis of corticobasal syndrome (CBS) and distinct underling primary pathologies.
Methods
We studied 29 patients with a diagnosis of CBS who underwent FDG-PET scan and postmortem neuropathologic examination. Patients were divided into subgroups on the basis of primary pathologic diagnosis: CBS-corticobasal degeneration (CBS-CBD) (14 patients), CBS-Alzheimer disease (CBS-AD) (10 patients), and CBS–progressive supranuclear palsy (CBS-PSP) (5 patients). Thirteen age-matched healthy patients who underwent FDG-PET were the control group (HC). FDG-PET scans were compared between the subgroups and the HC using SPM-12, with a threshold of pFWE < 0.05.
Results
There were no differences in Mattis Dementia Rating Scale or finger tapping scores between CBS groups. Compared to HC, the patients with CBS presented significant hypometabolism in frontoparietal regions, including the perirolandic area, basal ganglia, and thalamus of the clinically more affected hemisphere. Patients with CBS-CBD showed a similar pattern with a more marked, bilateral involvement of the basal ganglia. Patients with CBS-AD presented with posterior, asymmetric hypometabolism, including the lateral parietal and temporal lobes and the posterior cingulate. Finally, patients with CBS-PSP disclosed a more anterior hypometabolic pattern, including the medial frontal regions and the anterior cingulate. A conjunction analysis revealed that the primary motor cortex was the only common area of hypometabolism in all groups, irrespective of pathologic diagnosis.
Discussion and conclusions
In patients with CBS, different underling pathologies are associated with different patterns of hypometabolism. Our data suggest that FDG-PET scans could help in the etiologic diagnosis of CBS.
Corticobasal syndrome (CBS) is a disorder characterized by asymmetric akinetic-rigid syndrome, higher order sensory deficits, and cognitive impairment,1 and its diagnosis requires competencies in movement disorders and neurobehavioral assessments. The clinical diagnosis of CBS has been associated with different neuropathologic substrata, including corticobasal degeneration (CBS-CBD), Alzheimer disease (CBS-AD), and progressive supranuclear palsy (CBS-PSP), with CBD the most frequent pathologic diagnosis, followed by AD and PSP.2,3 Clinical features are insufficient to identify the underlying pathologic substrate of CBS with certainty during life.1 18Fluorodeoxyglucose PET (FDG-PET)4 has been used to aid in CBS diagnosis, commonly showing an asymmetric frontoparietal pattern of cortical metabolism in many,5,6 but not all studies.7 The application of FDG-PET to try to differentiate the underlying pathologic substrata of CBS in vivo, however, has not been extensively explored,6,8 even if available evidence suggests that different pathologies might show distinctive patterns of brain metabolism in CBS.
Patients with CBS with a positive amyloid PET scan, for example, have been shown to present with a more posterior pattern of hypometabolism compared to those with normal amyloid PET findings.9 Here, we decided to systematically evaluate the association of a specific neuropathologic diagnosis with patterns of brain hypometabolism in a cohort of patients with CBS who underwent FDG-PET and postmortem neuropathologic examination. Our aims were (1) to test the existence of specific patterns of hypometabolism that are predictive of a distinctive neuropathologic substrate of CBS focusing on CBS-AD, CBS-CBD, and CBS-PSP, and (2) to identify whether common clusters of brain hypometabolism could be detected in patients with CBS irrespectively of the neuropathologic substrata.
Methods
Participants
Twenty-nine patients with (1) a diagnosis of CBS, (2) available FDG-PET brain imaging, and (3) a postmortem neuropathologic diagnosis of CBD, AD, or PSP were included in the study. Patients were derived from a cohort of 98 patients with CBS who were enrolled at the National Institute of Neurological Disorders and Stroke (NINDS) from 2001 to 2009; 36 of those had a pathologic postmortem diagnosis, as previously described from the clinical point of view by our group.10,11 The 69 patients with CBS not included did not fulfill the criteria above. Patients were recruited from across the United States via advertisement and had to have an established diagnosis of CBS before coming to our attention. Clinical documentation was reviewed and the diagnosis of CBS was confirmed by a behavioral neurologist with experience in movement disorders (E.M.W.) and a neuropsychologist (J.G.) via consensus following a 1-week evaluation. Initial motor impairments in all of the patients with CBS consisted of an asymmetric progressive rigid syndrome resistant to therapeutic doses of levodopa evaluated in the months preceding the referral and confirmed at the clinical examination at the NINDS, associated with evidence of cortical deficits (as described by Boeve et al.12; the frequency of each cortical deficit for this cohort has been previously reported by our group10). All patients underwent detailed clinical and neuropsychological examination and structural brain imaging (MRI in all but 4 patients who underwent CT scans). Presence of significant vascular disease at structural imaging represented an exclusion criterion for the study; available images were reviewed also at the time of the statistical analysis to confirm the lack of significant vascular pathology. All imaging studies were carried out at NINDS. Neuropathologic studies were carried out at the Indiana University School of Medicine by dementia neuropathology experts (B.G. and S.S.). For all patients, laterality of the motor symptoms was available on file. Motor impairment was assessed with finger tapping test. Overall cognitive impairment was assessed using the Mattis Dementia Rating Scale–2 (MDRS-2). The Test of Oral and Limb Apraxia (TOLA)13 and the Wechsler Adult Intelligence Scale III (WAIS-III) vocabulary score were used to assess praxis and language deficits. No quantitative sensory test was available. Patients' demographics are described in table 1.
Table 1.
Main demographic and clinical characteristics of patients with corticobasal syndrome (CBS)
Neuropathologic evaluation
Brains were cut along the midsagittal plane. The left hemibrain was fixed in 10% buffered formalin, whereas the right hemibrain was frozen for genetic and biochemical studies. Sections were obtained from the following regions: superior and middle frontal gyri, cingulate gyrus, superior and middle temporal gyri, amygdala, superior parietal lobule, calcarine cortex, basal ganglia at the level of the anterior commissure, thalamus at the level of the subthalamic nucleus, anterior and posterior hippocampus, cerebellar cortex, dentate nucleus, midbrain, pons, and medulla.14 Tissue was processed for hematoxylin & eosin, thioflavin S, and tau (AT8), β-amyloid, α-synuclein, and pTDP43 immunohistochemistry according to protocols published previously.14 Neuropathologic diagnoses were made using published criteria.15–21 Neuropathologic diagnoses at the single-subject level are described in table 2. The primary pathologic diagnosis was used to divide the patients with CBS into the following subgroups: CBS-CBD, CBS-AD, and CBS-PSP.
Table 2.
Main neuropathologic diagnoses and coexisting pathologic findings at the individual patient level
Healthy controls (HCs)
Thirteen HC participants matched on demographics were selected to undergo the same procedures at the NIH Clinical Center (table 1). All participants were evaluated by a board-certified neurologist and found neurologically normal. None of the HC participants presented with any cognitive or motor complaint and all presented with an unremarkable medical history.
Standard protocol approvals, registrations, and patient consents
All patients gave written assent for the study. The study and consent procedure were approved by the NINDS institutional review board and by the Indiana University institutional review board. Sample and data storage and analysis including de-identification were compliant with Health Insurance Portability and Accountability Act (HIPAA) rules and the Declaration of Helsinki. HCs were compensated for their participation in the study.
FDG-PET acquisition and analysis
Participants fasted after midnight on the day of their scan and had no caffeine, alcohol, or nicotine for 24 hours before the scan. During the 25 minutes after FDG injection, patients rested with their eyes covered and ears plugged and were instructed to remain awake. The patients underwent FDG-PET scans on a GE (Cleveland, OH) Advance scanner (4.25-mm slice separation, 35 slices, axial field of view 15.3 cm, transverse field of view 55.0 cm). Forty-five minutes after injection, a 2-minute positioning scan was performed, and then a 10-minute emission scan immediately followed by an 8-minute transmission scan (used to correct the emission data for attenuation) were obtained. Acquisition was performed in 3D mode. Images were reconstructed using an ordered subset-expectation maximization algorithm. Images were then exported as DICOM files and transformed to analyze files for subsequent postprocessing.
To account for the usually asymmetric nature of CBS, scans were flipped in order to represent the hemisphere contralateral to the most affected limbs on the right side of the image.22 FDG-PET images were subjected to affine and nonlinear spatial normalization into Talairach and Tournoux space using SPM12 (Wellcome Department of Cognitive Neurology, London, UK). All the default choices of statistical parametric mapping (SPM) were followed with the exception of spatial normalization. For this study, the 15H2O SPM-default template was replaced by a dementia-optimized brain FDG-PET template as described by Della Rosa et al.23 The spatially normalized set of images was then smoothed with a 10-mm isotropic Gaussian filter to blur individual variations in gyral anatomy and to increase the signal-to-noise ratio. In addition, a conjunction analysis was used to identify common clusters of hypometabolism among neuropathologic subgroups. This approach tests for the conjunction of different hypotheses (each specified by a contrast) by assessing the significance of the contrasts combined and then eliminating voxels that evidenced significant differences (i.e., interactions) among the different contrasts,24 thus allowing, in our case, the highlighting of areas that are hypometabolic compared to controls irrespective of the underlying pathology. A threshold of p < 0.05 (voxel-level) family-wise error (FWE)–corrected for multiple comparisons and a minimum cluster size of 100 was applied to all analyses except for the comparison between patients with CBS-PSP and controls where, given the low number of patients in the CBS-PSP group, a threshold of uncorrected p < 0.0001 was used, and for the correlations with clinical scores, where a threshold of uncorrected p < 0.001 was used. Age at the time of the PET scan and sex were used as nuisance variables.
Finally, to visually describe the pattern of hypometabolism at the single-subject level and thus to aid in the interpretation of the group analyses, we selected the following regions based on published studies25–27: FDG-PET patterns and neuropathologic data for AD, PSP, and CBD, i.e., anterior and posterior cingulate (both as separate values and as an anterior–posterior asymmetry index), precuneus, striatum (limited to the neostriatum, i.e., putamen and caudate nuclei), and midbrain. Regions of interest (ROI) were defined using the Automated Anatomical Labeling atlas and to account for asymmetry, we selected the lower value between the left and right hemisphere mask for each ROI. All data are calculated after whole brain normalization and reported as z scores based on HC data. Given the focus on group analyses and the descriptive nature of this work, ROI data are reported only using median and range of observed values.
Data availability statement
Anonymized data will be made available to qualified investigators for collaborative research in accordance with HIPPA guidelines.
Results
Clinical features and pathologic examinations
The primary pathologic diagnoses of enrolled patients after the neuropathologic examination were as follows: CBD (14 patients), AD (10 patients), and PSP (5 patients). Groups were matched on education and time between FDG-PET and death (overall effect education: p = 0.55, time before death: p = 0.28) while CBS-AD patients were younger (p = 0.002). Clinical data are reported in table 1. There was no difference between the CBS groups in motor impairment as assessed with finger tapping (dominant hand p = 0.91; nondominant hand p = 0.25) and all patients presented with parkinsonism. There were no differences between groups in overall cognitive performance as assessed with the MDRS-2 (total score: p = 0.20), in apraxia as assessed with the TOLA (p = 0.84), or in language ability as assessed by WAIS-III Vocabulary subtest scores (p = 0.45).
Pattern of hypometabolism in the whole CBS cohort compared to controls
Patients with CBS presented with markedly asymmetric frontoparietal hypometabolism, centered in the precentral and postcentral gyri (table 3 and figure 1). In the hemisphere contralateral to the more affected limbs, a large cluster of hypometabolism was found including the dorsolateral prefrontal gyri, the precentral and postcentral gyri, the insula, and more posteriorly the superior parietal lobule as well as a second cluster centered in the thalamus. In the hemisphere ipsilateral to the more affected limbs, a much smaller cluster was identified, with a hypometabolic focus in the precentral gyrus, extending to the superior and middle frontal gyri.
Table 3.
Localization of the significant cluster of hypometabolism compared to controls for the corticobasal syndrome (CBS) cohort as well as the CBS–corticobasal degeneration (CBS-CBD), CBS–Alzheimer disease (CBS-AD), and CBS–progressive supranuclear palsy (CBS-PSP) groups
Figure 1. Regional hypometabolism compared to controls in the whole corticobasal syndrome cohort.
Statistical significance set at p < 0.05 family-wise error–corrected for multiple comparisons, minimum cluster size: 100 voxels. The right side of the image represents the hemisphere contralateral to the more severely affected limbs. Significant clusters overlaid on a volumetric brain MRI template.
Pattern of hypometabolism correlations with clinical variables in the whole CBS cohort
In the whole CBS group, MDRS-2 performance directly correlated with metabolic levels in a frontal cluster including the superior and middle frontal gyri and the precentral gyrus located in the hemisphere contralateral to the more affected limbs (table 4 and figure 2A).
Table 4.
Localization of the significant cluster of hypometabolism correlated with clinical scores in the whole corticobasal syndrome (CBS) cohort
Figure 2. Voxel-wise correlations.
Voxel-wise correlations between 18Fluorodeoxyglucose–PET scans and Mattis Dementia Rating Scale–2 total score (A), finger tapping (B), Test of Oral and Limb Apraxia sum of standard scores (C), and Wechsler Adult Intelligence Scale III vocabulary score (D). Statistical significance set at p < 0.001 uncorrected for multiple comparisons, minimum cluster size: 100 voxels. The right side of the image represents the hemisphere contralateral to the more severely affected limbs. Significant clusters overlaid on a volumetric brain MRI template.
Finger tapping performance directly correlated with metabolic levels in bilateral fontal pole, anterior cingulate, basal ganglia, and orbitofrontal gyrus. Unilateral correlations were found in the insula and the ventral diencephalon, respectively, in the hemisphere contralateral and ipsilateral to the more affected limbs (table 4 and figure 2B).
Apraxia was directly associated with frontal hypometabolism in the superior and middle frontal gyri and in the supplementary motor cortex cluster, all in the hemisphere contralateral to the more affected limbs (table 4 and figure 2C).
Language deficits directly correlated with anterior insula and opercular metabolic levels in the hemisphere contralateral to the more affected limbs (table 4 and figure 2D).
Pattern of hypometabolism in patients with CBS-CBD compared to controls
Patients with CBS-CBD presented with markedly asymmetric frontoparietal hypometabolism, centered in the precentral and postcentral gyri, and in the deep gray matter (table 3 and figure 3A). In the hemisphere contralateral to the more affected limbs, a large cluster of hypometabolism was found spanning from the superior, middle, and inferior frontal gyri, including the precentral and postcentral gyri, to the superior parietal lobule and the supramarginal gyrus, as well as a second hypometabolic cluster that included the thalamus and the caudate nucleus. In the hemisphere ipsilateral to the most affected limb, a much smaller cluster centered in the precentral gyrus and extending in the superior frontal gyrus was identified, together with caudate hypometabolism. There was no material change in results after removing CBS-CBD cases with a secondary pathologic diagnosis of coexisting AD or Lewy body disease (table 2). There was no significant difference in FDG-PET metabolism between CBS-CBD patients with and without concomitant AD pathology even at the lenient threshold of p(uncorrected) < 0.005.
Figure 3. Regional hypometabolism.
Regional hypometabolism compared to controls in the corticobasal syndrome (CBS)–corticobasal degeneration (CBD) (A), CBS–Alzheimer disease (B), and CBS–progressive supranuclear palsy (C) cohorts.(D) Conjunction analysis among the 3 groups. Statistical significance set at p < 0.05 family-wise error–corrected for multiple comparisons, except for C, where the threshold is p < 0.0001 uncorrected. Minimum cluster size: 100 voxels. The right side of the image represents the hemisphere contralateral to the more severely affected limbs. Significant clusters overlaid on a volumetric brain MRI template.
Pattern of hypometabolism in patients with CBS-AD compared to controls
Patients with CBS-AD presented with an asymmetric posterior hypometabolism, without deep gray matter involvement (table 3 and figure 3B). In the hemisphere contralateral to the most affected limbs, a large cluster of hypometabolism was found, including the inferior temporal gyrus and the angular gyrus, which extended to the posterior cingulate, the middle temporal gyri, and the superior parietal lobule. In the same hemisphere, a second, smaller cluster was also found, in the precentral gyrus. In the hemisphere ipsilateral to the most affected limbs, a smaller cluster was identified in the supramarginal gyrus, with a hypometabolic focus in the supramarginal gyrus and a smaller cluster in the superior parietal lobule. Of note, no cluster of hypometabolism was found in either the thalami or the basal ganglia in both hemispheres. There was no material change in results after taking out those CBS-AD cases with a secondary pathologic diagnosis of coexisting Lewy body disease (table 2). There was no significant difference in FDG-PET metabolism between patients with CBS-AD with and without concomitant Lewy body disease even at the lenient threshold of p(uncorrected) < 0.005.
Pattern of hypometabolism in patients with CBS-PSP compared to controls
Patients with CBS-PSP presented with markedly asymmetric anterior hypometabolism (table 3 and figure 3C). In the hemisphere contralateral to the most affected limbs, the precentral gyrus, the middle and anterior cingulate gyri, the middle frontal gyri, and the caudate nucleus were hypometabolic. There were no foci of hypometabolism in the other hemisphere or in the midbrain. There was no significant difference in FDG-PET metabolism between patients with CBS-PSP with and without concomitant AD pathology even at the lenient threshold of p(uncorrected) < 0.005.
Common areas of hypometabolism among the CBS-CBD, CBS-AD, and CBS-PSP groups
The conjunction analysis disclosed a cluster of hypometabolism focused in the precentral gyrus, extending in the superior frontal gyrus of the hemisphere contralateral to the most affected limbs, the only common area of hypometabolism among the CBS-CBD, CBS-AD, and CBS-PSP subgroups (table 3 and figure 3D). Visual inspection confirmed the presence of a reduction in FDG tracer retention in the precentral/postcentral gyrus region in all patients with CBS except 2 (included in the CBS-PSP and the CBS-AD groups).
Patterns of hypermetabolism in the whole CBS cohort and the CBS-CBD, CBS-AD, and CBS-PSP groups compared to controls
There were no areas of relative hypermetabolism in the whole CBS cohort and the CBS-CBD, CBS-AD, and CBS-PSP groups compared to controls at the following thresholds: p(FWE) < 0.05, p(uncorrected) < 0.005.
Regional hypometabolism differences at the single-subject level: Exploratory evidence
To further interpret the group results, median z scores and the range of observed values are reported in table 5. There was a full separation of the observed values between CBS-AD and CBS-PSP in the following ROIs: anterior cingulate, precuneus, and the striatum, as well as on the anterior–posterior cingulate gradient. Moreover, there was a full separation between CBS-AD and CBS-CBD in the basal ganglia ROI and between CBS-PSP and CBS-CBD patients on the anterior–posterior cingulate asymmetry index.
Table 5.
zScores of FDG retention in selected regions of interest (ROIs), median (range)
Discussion
We evaluated differences in topography of gray matter hypometabolism among different neuropathologic diagnoses underlying a CBS diagnosis, as assessed with FDG-PET. Our main findings at the group level were as follows: (1) overall a clinical diagnosis of CBS was associated with an asymmetric, large frontal, temporal, and parietal pattern of hypometabolism with a common hypometabolic cluster for all pathologic diagnoses in the precentral gyrus; and (2) the underlying pathology significantly modulated FDG uptake distribution, with typical posterior temporoparietal or medial–frontal patterns observed in patients with CBS with a pathologic diagnosis of AD or PSP, respectively, and frontoparietal cortex, thalamus, and caudate nucleus in CBS-CBD.
The hypometabolism pattern observed in the whole CBS group is consistent with previous reports of a marked asymmetric involvement of large cortical territories and of ipsilateral deep gray matter structures in this condition, which is thought to represent the metabolic footprint of the sensory-motor and cognitive expression of CBS,6 as well as with the distribution of white matter abnormalities28 and of gray matter atrophy described in this condition.29 Published MRI studied in CBS showed white matter damage in the perirolandic bundles and the body of the corpus callosum, i.e., those tracts connecting the primary and secondary sensory-motor cortices, which are the focus of cortical gray matter atrophy in this population.28,29
We observed that the primary pathology significantly affected the distribution of FDG-PET metabolism. A pathologic diagnosis of CBS-CBD was associated with an asymmetric hypometabolism involving the perisylvian frontotemporal cortex, the frontoparietal association cortex, the caudate nucleus, and the thalamus in the more affected hemisphere, as well as the caudate nucleus and the motor cortex in the less affected hemisphere. This pattern matches previous reports in a few cases of pathologically confirmed CBS-CBD30 and it is in line with both tau imaging findings31 and with the more common neuropathologic description of symptomatic CBD.32
Patients with CBS-AD presented with a posterior temporoparietal hypometabolic pattern, including large areas in association parietal cortex, the posterior cingulate cortex (PCC), and the precuneus (PC) in the more affected hemisphere but also a smaller cluster in parietal cortex in the less affected hemisphere. These regions are typically reported to be metabolically impaired in AD.33,34 Hypometabolism in the PCC or the PC were not found in the CBS-CBD or the CBS-PSP subgroups. The findings in the CBS-AD group, moreover, confirm the observation of the posterior patterns of hypometabolism reported in patients with CBS presenting with positive in vivo biomarkers of amyloid deposition9 and are in line with the more severe visuospatial impairment observed in patients with CBS-AD compared to patients with CBS without AD.10 While a relative sparing of the deep gray structures is a common finding in AD and a feature that could help in the interpretation of FDG-PET scans,35 moderate basal ganglia hypometabolism was observed in patients with CBS with positive in vivo markers of amyloid deposition.9 That finding could also be due to the positivity of in vivo amyloid markers in non-AD conditions such as dementia with Lewy bodies,36 which may show deep gray matter hypometabolism.37 While more studies are needed to characterize the FDG-PET patterns in patients with CBS with positive amyloid imaging findings, these discrepancies also point to the caution needed in the interpretation of amyloid imaging to infer the underling pathology in patients with CBS.
Patients with CBS-PSP showed a focus of hypometabolism centered on the medial frontal gyrus, the anterior and middle cingulate gyri, and also involved the caudate nucleus in the more affected hemisphere. Again, the involvement of these structures was peculiar to this subgroup with the exception of the caudate nucleus (involved in CBS-CBD as well). This pattern has been reported in typical PSP, albeit in a more symmetric fashion.38,39 In the literature, there are a few neuropathologic case series of CBS-PSP that showed a shift from subcortical nuclei to the middle frontal cortices as preferential sites of tau deposition, at least compared with patients with PSP with more classical presentations.40,41 These data lend support to the cortical FDG-PET hypometabolism pattern observed in our CBS-PSP group compared to controls.
The availability of pathologic diagnoses, however, allowed us to evaluate not only the overall pattern of hypometabolism in our CBS population compared to controls, but also which regions were consistently hypometabolic across the neuropathologic diagnoses. In contrast with the relatively large region of hypometabolism in the whole CBS group, the precentral gyrus was the only area of FDG uptake reduction common to the CBS-CBD, CBS-AD, and CBS-PSP subgroups. This observation is in line with the key role played by motor processing dysfunction in CBS and with the perirolandic pattern of gray matter loss described in CBS.29 Interestingly, in a functional MRI connectivity study performed in controls, this area has been shown to be the epicenter of a network composed of those areas more consistently involved in CBS,42,43 i.e., to represent the region most strongly connected with the other components of the network.42 From a clinical standpoint, the absence of this FDG-PET sign should challenge the diagnosis of CBS, irrespective of the underlying pathologic substrate. FDG-PET hypometabolism in the precentral gyrus is not a common finding across neurodegenerative diseases, except in amyotrophic lateral sclerosis (ALS).44 ALS, however, is not a common differential diagnosis in the CBS workup. If this finding is confirmed in an independent cohort, the presence of perirolandic FDG-PET hypometabolism should be evaluated in the workup of patients with CBS.
Taking into account the relative hypometabolism in selected regions based on the pattern observed at the group-level analysis, it was possible to observe a good separation among the 3 groups, especially between CBS-AD and the other 2 groups. This shows the consistency of the observed PET patterns also at the individual level. While the crux of this work was mainly focused on group comparisons, these results at the single-subject level are of interest and suggest that FDG-PET could be useful in the clinical setting to guide the identification of the pathology underlying CBS. The development of diagnostic markers at the single-subject level was not the aim of the study, also given the size of the sample. Future studies in independent populations are needed to confirm these findings at the single-subject level.
Our results do not imply that some clinical features could not be as useful as FDG-PET to help in the differentiation between pathologies underling CBS (indeed this was not the aim of our study). From a clinical point of view, our findings provide the description of FDG-PET patterns due to different pathologic substrata thus aiding in the interpretation of these images and in the characterization of the possible role of FDG-PET in CBS clinical care. Moreover, our observations support the hypothesis that different pathologic protein misfoldings tend to affect preferentially different regions of the brain45,46 (i.e., that some brain regions are more prone, for example, to amyloid deposition, or 4-repeat tau deposition and so on) independently of the clinical phenotype. The biological bases of this regional vulnerability are to date poorly understood; however, they have been proposed to be linked to the difference in local gene expression. Recent evidence of this hypothesis has been provided by a recent study based on the Alzheimer's Disease Neuroimaging Initiative dataset and the Allen brain atlas of the adult human brain transcriptome showing that the regional expression of genes in the amyloid and tau cascade were respectively associated with amyloid PET and gray matter atrophy patterns.47
The finding of a common area of hypometabolism across the different groups (i.e., the precentral gyrus) is also relevant for the understanding of the mechanisms of neurodegeneration and support the hypothesis that network hub involvement (i.e., those regions densely connected with other areas) is a key factor in determining the clinical symptomatology irrespective of the cause of regional damage.42
Lack of tau-PET imaging scans (not available at the time of enrollment) and the years separating our imaging evaluation from the neuropathologic diagnosis prevented us from determining the association between local tau burden and FDG-PET metabolism. While more work is needed to shed light on this issue, some preliminary evidence is available in the literature showing a partial spatial overlap between FDG-PET and tau-PET patterns, albeit with a larger spatial extension of the latter.48 Published evidence on tau-PET patterns in CBS points to a significant tracer retention in the perirolandic cortical areas and the basal ganglia similar to the FDG-PET findings reported in our cohort.49
We presented data on a relatively large number of patients with CBS with both FDG-PET and pathology data. Available FDG-PET cohort studies of CBS to date have lacked neuropathologic validation except for case reports or small series.6 Using this combined FDG-PET and pathology approach, we were able to identify pathology-specific FDG-PET patterns of hypometabolism both at the group and at the single-subject level, which could be relevant for the day-to-day management of these difficult-to-treat patients, more so if proteinopathy-specific treatments become available. The main limitation of this study is the limited sample size of the pathologic subgroups due to the relative rarity of this condition, and the even rarer availability of FDG-PET and autopsy data from patients with CBS. As expected from the neurodegenerative conditions literature,50 some patients present with a primary pathologic diagnosis of a neurodegenerative condition, but also demonstrate additional pathologic changes indicating the presence of other, relatively minor, coexisting pathologic processes. The results presented at the single-subject level, however, suggest that these additional neuropathologic processes do not significantly affect the main FDG-PET patterns observed.
Our study demonstrates that FDG-PET is an effective, complementary tool for proteinopathy identification in neurodegenerative diseases. Earlier identification of the underlying neurodegenerative disorder by PET in the coming era of expanded protein-specific radiopharmaceuticals imaging should permit faster and effective proteinopathy-specific treatments for our patients.
Glossary
- AD
Alzheimer disease
- ALS
amyotrophic lateral sclerosis
- CBD
corticobasal degeneration
- CBS
corticobasal syndrome
- FDG
18Fluorodeoxyglucose
- FWE
family-wise error
- HC
healthy control
- HIPAA
Health Insurance Portability and Accountability Act
- MDRS-2
Mattis Dementia Rating Scale–2
- NINDS
National Institute of Neurological Disorders and Stroke
- PC
precuneus
- PCC
posterior cingulate cortex
- PSP
progressive supranuclear palsy
- ROI
region of interest
- SPM
statistical parametric mapping
- TOLA
Test of Oral and Limb Apraxia
- WAIS-III
Wechsler Adult Intelligence Scale III
Appendix. Authors
Study funding
Supported by US Public Health Service P30AG10133 (B.G.) and the intramural program of the NIH/National Institute of Neurologic Disorders and Stroke.
Disclosure
M. Pardini receives research support from Novartis and fees from Merck and Novartis. E. Huey, S. Spina, and W. Kreisl report no disclosures relevant to the manuscript. S. Morbelli receives speaker honoraria from GE Healthcare and Eli Lilly. E. Wassermann, F. Nobili, B. Ghetti, and J. Grafman report no disclosures relevant to the manuscript. Go to Neurology.org/N for full disclosures.
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Associated Data
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Data Availability Statement
Anonymized data will be made available to qualified investigators for collaborative research in accordance with HIPPA guidelines.