 |
|
Voxel-Based Morphometry in Frontotemporal Lobar Degeneration With Ubiquitin-Positive Inclusions With and Without Progranulin Mutations
Jennifer L. Whitwell, PhD;
Clifford R. Jack Jr, MD;
Matthew Baker, BS;
Rosa Rademakers, PhD;
Jennifer Adamson, BS;
Bradley F. Boeve, MD;
David S. Knopman, MD;
Joseph F. Parisi, MD;
Ronald C. Petersen, MD;
Dennis W. Dickson, MD;
Michael L. Hutton, PhD;
Keith A. Josephs, MST, MD
Arch Neurol. 2007;64(3):371-376.
ABSTRACT
| |
Background Mutations in the progranulin gene (PGRN) have recently been identified as a cause of frontotemporal lobar degeneration with ubiquitin-positive inclusions (FTLD-U) in some families.
Objective To determine whether there is a difference in the patterns of atrophy in FTLD-U cases with and without PGRN mutations.
Design Case-control study.
Setting Brain bank of a tertiary care medical center.
Patients Eight subjects who had screened positive for PGRN mutations (PGRN-positive) and who underwent volumetric magnetic resonance imaging were identified. Subjects were then matched by clinical diagnosis to a group of 8 subjects with a pathological diagnosis of FTLD-U who had screened negative for PGRN mutations (PGRN-negative). All subjects were then age-matched and sex-matched to a control subject.
Main Outcome Measures Voxel-based morphometry was used to assess the patterns of gray matter atrophy in the PGRN-positive group compared with the PGRN-negative group and compared with controls.
Results The PGRN-positive group showed a widespread and severe pattern of gray matter loss predominantly affecting the frontal, temporal, and parietal lobes. The PGRN-negative group showed a less severe pattern of gray matter loss restricted mainly to the temporal and frontal lobes. On direct comparison, the PGRN-positive group showed greater gray matter loss in the frontal and parietal lobes compared with the PGRN-negative group.
Conclusion Findings from this study suggest that PGRN mutations may be associated with a specific and severe pattern of cerebral atrophy in subjects with FTLD-U.
INTRODUCTION
There are 3 well-recognized clinical variants of frontotemporal lobar degeneration, namely, behavioral-variant frontotemporal dementia (bvFTD), progressive nonfluent aphasia, and semantic dementia.1 The bvFTD is characterized by behavioral and personality changes and executive dysfunction, whereas the other 2 variants are aphasic syndromes. Frontotemporal lobar degeneration can be pathologically categorized into those with tau-positive inclusions and those with ubiquitin-positive inclusions.2 Two recent studies3-4 demonstrated that mutations in the progranulin gene (PGRN) are associated with frontotemporal lobar degeneration with ubiquitin-positive inclusions (FTLD-U).
The objective of this study was to determine whether subjects with FTLD-U and PGRN mutations have a signature pattern of gray matter atrophy. We hypothesized that the pattern of atrophy in FTLD-U cases with PGRN mutations would be no different from the pattern of atrophy in those without PGRN mutations.
METHODS
SUBJECTS
We identified 6 cases with a pathological diagnosis of FTLD-U from our autopsy database at the Mayo Clinic in Rochester that had frozen brain tissue or stored DNA blood that had screened positive for PGRN mutations (PGRN-positive) and that had usable volumetric head magnetic resonance (MR) images. Two additional cases without pathological confirmation were included; each had screened positive for PGRN mutations and had pathological confirmation in multiple siblings.
All cases had been prospectively studied in the Alzheimer Disease Research Center or Alzheimer Disease Patient Registry at the Mayo Clinic in Rochester. The historical records of all cases were reviewed by 1 of us (K.A.J.) for the abstraction of data, including sex, age at disease onset, illness duration, Short Test of Mental Status score,5 and symptoms recorded by the treating physician up to the time of MR imaging (Table 1). We also abstracted information on whether parkinsonism, language impairment, or behavioral features developed before death. Parkinsonism was defined as the presence of 2 or more symptoms of tremor, bradykinesia, rigidity, or postural instability; language impairment was defined as word-finding difficulties, anomic aphasia, or any loss of syntax, fluency, or comprehension; and behavioral features were defined as any change in the subject's behavior or personality. Each PGRN-positive subject was then matched by clinical diagnosis to a subject who had screened negative for PGRN mutations (PGRN-negative). Six PGRN-positive subjects were diagnosed as having bvFTD and were matched to PGRN-negative subjects having a clinical diagnosis of bvFTD. One PGRN-positive subject had semantic dementia and was matched to a PGRN-negative subject with semantic dementia, and 1 PGRN-positive subject had left-sided corticobasal syndrome (CBS) and was matched to a PGRN-negative subject with left-sided CBS. This matching was important because the various clinical phenotypes of FTLD-U may have different patterns of gray matter atrophy.6 The objective of this study was to assess the effects of the PGRN mutation independent of clinical phenotype. Each PGRN-positive and PGRN-negative subject was age matched and sex matched to a healthy control subject.
|
|
|
|
Table 1. Clinical Features of PGRN-Positive and PGRN-Negative Subjects
|
|
|
GENETIC ANALYSIS
The 12 coding exons of PGRN were amplified by polymerase chain reaction (PCR) using previously published primers and protocol.3 Novel PCR primers flanking the noncoding exon 0 and 3' untranslated region of PGRN were also developed. Standard 25-µL PCR reactions were performed using commercially available PCR products (Qiagen, Valencia, Calif) and a final concentration of 0.8µM for each primer. The PGRN exon 0 and 3" untranslated region fragments were cycled using touchdown protocols of 70°C to 55°C and 58°C to 48°C, respectively. The PCR products were purified using filtration plates (MultiScreen; Millipore, Billerica, Mass) and were sequenced in both directions on a sequence detection system (ABI 3730 with Big Dye chemistry; Applied Biosystems, Foster City, Calif) according to the manufacturer's protocol. Genomic characterization of PGRN was performed as previously described.7
PATHOLOGICAL ANALYSIS
All case specimens had undergone extensive neuropathological examination using routine and immunohistochemical stains as previously described in detail.2 A pathological diagnosis of FTLD-U was made on the basis of the finding of neuronal loss, spongiosis, and gliosis in the frontotemporal neocortex consistent with frontotemporal lobar degenerative changes, as well as the presence of ubiquitin-positive intraneuronal inclusions and neurites in the neocortex or in the dentate granule cell layer of the hippocampus. Any case with evidence of motor neuron disease was excluded as previously described.8
IMAGE ANALYSIS
Magnetic resonance imaging studies were performed at 1.5 T using a standardized imaging protocol that included a coronal T1-weighted 3-dimensional volumetric spoiled gradient echo sequence with 124 contiguous partitions and 1.6-mm section thickness (22 x 16.5-cm field of view and 25° flip angle). Voxel-based morphometry (VBM) was used to assess group differences implemented by means of Statistical Parametric Mapping software (SPM2; Wellcome Department of Imaging Neuroscience, London, England; http://www.fil.ion.ucl.ac.uk/spm).9-10 The image-processing steps have previously been described in detail.10-11 Briefly, all images were spatially normalized to a customized template created from among all subjects in the study. The spatial normalization of each image was optimized by matching the initial gray matter segmentation with the customized gray matter prior probability map and then applying the measures to the whole head. Images were then segmented using customized prior probability maps, modulated, and smoothed using a 10-mm full width at half maximum smoothing kernel. Gray matter differences were assessed between the PGRN-positive and PGRN-negative groups and the control group at a statistical threshold of P<.05 after correction for multiple comparisons using the false discovery rate. Direct comparisons between the PGRN-positive and PGRN-negative groups were performed at a less stringent threshold of P<.01 uncorrected for multiple comparisons.
RESULTS
SUBJECTS
Table 1 gives the clinical features of the PGRN-positive and PGRN-negative groups. Most subjects had a clinical diagnosis of bvFTD, although 2 subjects in each group had a diagnosis of semantic dementia or CBS. A comparison of the demographic features between the groups is given in Table 2. There was no significant difference in the sex ratio or age at the time of MR imaging across the 3 groups. In addition, there was no significant difference between the PGRN-positive and PGRN-negative subjects in age at disease onset, illness duration, time from disease onset to MR imaging, or Short Test of Mental Status score at the time of MR imaging. All subjects were white and non-Hispanic. All PGRN-positive subjects had an autosomal dominant pattern of inheritance; only 2 PGRN-negative subjects had any suggestion of an autosomal dominant family history. Additional clinical features developed after the time of MR imaging (Table 1). The PRGN-positive subjects were more likely to develop language impairment (90% vs 20%; P = .03) and parkinsonism (90% vs 30%; P = .05) compared with the PGRN-negative subjects before death.
|
|
|
|
Table 2. Demographics of Subjects*
|
|
|
MUTATIONS
Sequencing analyses showed that 5 different PGRN mutations were present in our cohort. These included c154delA (pThr52HisfsX2), c910_911insTG (pTrp304LeufsX58), c1395_1396insC (pCys466LeufsX46), c1145delC (pThr382SerfsX30), and c138 + 1G A (IVS1 + 1GA).
VBM ANALYSIS
The PGRN-positive group showed a widespread and severe pattern of gray matter loss compared with the control group (Figure 1). The most severe regions of gray matter loss were observed in the inferior and middle frontal gyri, medial frontal lobe, temporal lobes, and parietal lobes. The patterns of gray matter loss were bilateral, although the frontal and parietal lobe loss seemed to be slightly greater in the right hemisphere. In comparison, the regions of gray matter loss identified in the PGRN-negative group were restricted to the temporal and frontal lobes. The patterns of gray matter loss were less severe than those observed in the PGRN-positive subjects. The temporal lobe loss spread from the anterior temporal pole back to involve the medial and inferior temporal regions and the posterior inferior temporal gyri. The frontal lobe loss was observed in the medial frontal cortex, inferior and middle frontal gyri, and orbitofrontal cortex. The insula was also involved. As in the PGRN-positive group, the frontal lobe loss was slightly greater in the right hemisphere.
|
|
|
|
Figure 1. Gray matter volume differences were assessed between the PGRN-positive (+) and PGRN-negative (–) groups and the control group using voxel-based morphometry at a statistical threshold of P<.05 after correction for multiple comparisons. The patterns of gray matter loss in the PGRN-positive group compared with controls are shown in A, whereas the patterns of gray matter loss in the PGRN-negative group compared with controls are shown in B. The results of each comparison are shown on 3-dimensional glass brain renderings (top) and are overlaid on the smoothed customized template at representative sections through the frontal (y = 30), temporal (y = –10 and y = –45), and parietal lobes (y = –70) (bottom). The results show more widespread and severe patterns of gray matter loss in the PGRN-positive group compared with controls than in the PGRN-negative group compared with controls. A indicates anterior; L, left; P, posterior; and R, right.
|
|
|
A direct statistical comparison was performed between the 2 groups (Figure 2). The PGRN-positive group showed significantly greater gray matter loss in the superior frontal lobes and parietal lobes, predominantly on the right, than the PGRN-negative group (uncorrected P<.01). No regions showed greater involvement in the PGRN-negative group compared with the PGRN-positive group.
|
|
|
|
Figure 2. Three-dimensional surface rendering of the results of a direct statistical comparison performed between the PGRN-positive (+) and PGRN-negative (–) subjects. The highlighted areas show the regions of the brain that have reduced gray matter volume in the PGRN-positive group compared with the PGRN-negative group. No regions of the brain showed reduced gray matter volume in the PGRN-negative subjects compared with the PGRN-positive subjects. The results are shown at a statistical threshold of P<.01 uncorrected for multiple comparisons and demonstrate greater gray matter loss in the frontal and parietal lobes in the PGRN-positive group than in the PGRN-negative group. L indicates left; R, right.
|
|
|
COMMENT
This study demonstrated differences in the severity and distribution of gray matter atrophy and clinical variations in FTLD-U cases with and without PGRN mutations. Because both groups had an identical pathological diagnosis of FTLD-U and were matched for clinical diagnosis, we had hypothesized that the patterns of atrophy would be similar in subjects with and without PGRN mutations. However, our findings demonstrated differences between the PGRN-positive and PGRN-negative groups. The PGRN-negative subjects showed a pattern of temporal and frontal lobe volume loss, as previously reported in FTLD-U.12-13 However, the PGRN-positive subjects showed a more severe and widespread pattern of gray matter loss than the PGRN-negative subjects. The most severe regions of loss were identified in the temporal and frontal lobes and in the parietal lobe, which was spared in the PGRN-negative group. A direct comparison between the 2 groups showed that the PGRN-positive subjects had a greater degree of frontal and parietal atrophy than the PGRN-negative subjects. The fact that these results did not persist after correction for multiple comparisons most likely reflects the heterogeneity in each group. Similarly, our recent pathological findings demonstrated significantly lower mean ± SD brain weights at death in PGRN-positive subjects compared with PGRN-negative subjects (902 ± 160 vs 1030 ± 140 g; P = .007) and showed greater atrophy of the frontal and parietal lobes in the PGRN-positive subjects.14 Furthermore, another pathological study15 found that the frontal lobes were the most severely affected region in PGRN-positive subjects, although the temporal and parietal lobes were also affected. Single-subject MR images have shown frontal, temporal, and parietal atrophy in PGRN-positive subjects.15-18 Although VBM provides a group-level analysis and the findings should not be generalized to single subjects, our results suggest that a severe pattern of atrophy affecting the temporal and parietal and especially the frontal lobes may be indicative of an underlying PGRN mutation. Therefore, it is possible that the mutation results in a more malignant form of FTLD-U. A recent case study19 reported a rate of brain atrophy of more than 3.3% per year in a PGRN-positive subject. This may reflect differences between familial and sporadic forms of FTLD-U because most of the PGRN-negative subjects had no autosomal dominant family history. Greater severity of Alzheimer disease pathological features is found in genetically determined familial Alzheimer disease,20 and MR imaging studies21-22 have demonstrated that younger-onset familial cases of Alzheimer disease show more widespread patterns of atrophy compared with older-onset sporadic cases.
Although there were differences between the PGRN-positive and PGRN-negative groups, they both showed involvement of the temporal lobe, particularly the posterior temporal gyri. In 2 previous VBM studies12-13 from separate brain banks, a region of severe gray matter loss affecting the posterior temporal lobe in subjects with FTLD-U was identified, and it was hypothesized that this might be a signature pattern of this pathological condition. Findings from this study concur with those results and further suggest that the signature pattern is related to the pathological features of FTLD-U and is perhaps independent of the genetic cause of the disease.
The pattern of gray matter loss in the PGRN-positive subjects was symmetric, although with slightly greater involvement of the right frontal lobe. However, the lateralization observed in the PGRN-positive subjects may be associated with the particular subjects and the particular clinical diagnoses included in this analysis. Some ongoing MR imaging investigations at our institution among a larger number of PGRN-positive subjects show greater involvement of the right hemisphere in some, whereas others show the opposite pattern (C.R.J., unpublished data, 2006). Previous studies reporting on single-subject MR images noted left-sided18 and right-sided16, 19 PGRN-positive subjects. Therefore, although asymmetry seems to be a feature of the mutation, there appears to be no particular dominant hemisphere.
In our series of PGRN-positive subjects, bvFTD was more prevalent than other syndromes, occurring in 75% of subjects. This is similar to the frequency typically reported in FTLD-U.2 Our patients presented with personality change, abulia, loss of attention, and executive dysfunction. Furthermore, bvFTD has been described in other clinical investigations of PGRN16, 18 and was found to be the most prevalent clinical diagnosis.16 One of our subjects had a diagnosis of CBS23 at the time of MR imaging, which has been described in another family with PGRN mutations.17 Our subject had been diagnosed as having idiopathic Parkinson disease before being seen at our institution. Therefore, in patients with an initial diagnosis of idiopathic Parkinson disease and an autosomal dominant family history, a PGRN mutation should be considered. The other subject with aphasia in our cohort had features consistent with semantic dementia.1 This subject had a fluent aphasia with prominent anomia and comprehension problems. This finding is different from the results of previous PGRN studies15, 18 in which aphasia was more consistent with the progressive nonfluent aphasia variant of FTLD-U. The PGRN-negative subjects were matched to the PGRN-positive subjects for syndromic diagnosis; 75% had bvFTD, with 1 each having CBS and semantic dementia. As in the PGRN-positive subjects with bvFTD, the PGRN-negative subjects had personality changes, apathy, anhedonia, and executive dysfunction. The PGRN-negative subject with semantic dementia had anomic aphasia, circumlocutions, and behavioral changes.1
Although our subjects were matched by clinical syndromes at the time of MR imaging and showed no differences in clinical severity or illness duration, the PGRN-positive subjects were more likely to develop language impairment (90%) and parkinsonism (90%) later in the disease course than the PGRN-negative subjects (20% of whom developed language impairment and 30% of whom developed parkinsonism). However, the prevalence of behavioral features was similar among the PGRN-positive (75%) and PGRN-negative (88%) groups. Therefore, the later development of significant parkinsonism and language impairment in subjects with an autosomal dominant family history may be a clue to the presence of a PGRN mutation and should prompt the physician to consider genetic screening. Language impairment and parkinsonism were also more common in the PGRN-positive subjects in our pathological investigation that included a somewhat different cohort.14 In some of those subjects, Lewy bodies were found, which further supports the importance of considering PGRN mutations in autosomal dominant familial Parkinson disease or in subjects in whom parkinsonism is a significant feature. Language impairment was variable, with the development of features of expressive and receptive deficiencies. The PGRN-positive subjects frequently became mute. Given the more widespread volume of gray matter loss seen in the PGRN-positive subjects, these developments are of no surprise. We hypothesize the following 2 scenarios: (1) anatomical structures involved with the development of parkinsonism and aphasia eventually become affected in PGRN-positive subjects or (2) the anatomical structures are already affected given the widespread atrophy, but there exists a threshold effect whereby there has to be a certain amount of pathway or anatomical destruction present before the clinical features emerge.
The major strengths of this study were that the PGRN-positive and PGRN-negative groups were matched in terms of clinical and pathological diagnoses and demographic features. The technique of VBM is unbiased and allows an assessment of gray matter loss across the whole brain without having to make a priori assumptions concerning which structures to assess. The limitations include the fact that the number of subjects in each group was small. However, it is difficult to find subjects with a PGRN mutation, an artifact-free MR image acquired using a standardized protocol, and an autopsy-confirmed diagnosis of FTLD-U. Despite the small numbers, we observed well-defined patterns of gray matter loss that correlate closely to previously published findings in larger groups of subjects with FTLD-U.12-13 The results also closely match our recent pathological findings in PGRN-positive subjects.14 However, our cohort represented only 5 different PGRN mutations; therefore, the results may not be generalizable to subjects with other PGRN mutations.
In summary, the findings from this study suggest that PGRN mutations may be associated with more severe patterns of cerebral atrophy, particularly involving the frontal and parietal lobes, in subjects with FTLD-U. The subjects with PGRN mutations developed more parkinsonism and language impairment than the PGRN-negative subjects. It will be important for these results to be validated and correlated with detailed clinical information in a larger group of subjects.
AUTHOR INFORMATION
Correspondence: Keith A. Josephs, MST, MD, Divisions of Behavioral Neurology and Movement Disorders, Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (josephs.keith{at}mayo.edu).
Accepted for Publication: October 30, 2006.
Author Contributions: Study concept and design: Whitwell, Boeve, Parisi, Hutton, and Josephs. Acquisition of data: Whitwell, Baker, Rademakers, Adamson, Knopman, Parisi, Petersen, and Dickson. Analysis and interpretation of data: Whitwell, Jack, Rademakers, Knopman, Parisi, Hutton, and Josephs. Drafting of the manuscript: Whitwell, Baker, Rademakers, Adamson, Parisi, Hutton, and Josephs. Critical revision of the manuscript for important intellectual content: Whitwell, Jack, Boeve, Knopman, Parisi, Petersen, Dickson, and Hutton. Statistical analysis: Josephs. Obtained funding: Jack. Administrative, technical, and material support: Jack, Adamson, Boeve, Parisi, Petersen, Dickson, and Josephs. Study supervision: Parisi, Hutton, and Josephs.
Financial Disclosure: None reported.
Funding/Support: This study was supported by Roadmap Multidisciplinary Clinical Research Career Development Award K12/NICHD-HD49078 from the National Institutes of Health (Dr Josephs), by grants P50 AG16574, U01 AG06786, and R01 AG11378 from the National Institute on Aging, by grant NIRG-03-4842 from the Alzheimer's Association, and by the generous support of the Robert H. and Clarice Smith and Abigail Van Buren Alzheimer's Disease Research Program of the Mayo Foundation. Dr Rademakers is a postdoctoral fellow supported by the Fund for Scientific Research Flanders.
Author Affiliations: Department of Radiology (Drs Whitwell and Jack), Divisions of Behavioral Neurology (Drs Boeve, Knopman, Petersen, and Josephs) and Movement Disorders (Dr Josephs), Department of Neurology, and Department of Laboratory Medicine and Pathology (Dr Parisi), Mayo Clinic, Rochester, Minn; and Divisions of Molecular Genetics (Mr Baker, Drs Rademakers and Hutton, and Ms Adamson) and Neuropathology (Dr Dickson), Department of Neuroscience, Mayo Clinic, Jacksonville, Fla.
REFERENCES
| |
1. Neary D, Snowden JS, Gustafson L; et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology. 1998;51:1546-1554.
FREE FULL TEXT
2. Josephs KA, Petersen RC, Knopman DS; et al. Clinicopathologic analysis of frontotemporal and corticobasal degenerations and PSP. Neurology. 2006;66:41-48.
FREE FULL TEXT
3. Baker M, Mackenzie IR, Pickering-Brown SM; et al. Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17. Nature. 2006;442:916-919.
FULL TEXT
| PUBMED
4. Cruts M, Gijselinck I, van der Zee J; et al. Null mutations in progranulin cause ubiquitin-positive frontotemporal dementia linked to chromosome 17q21. Nature. 2006;442:920-924.
FULL TEXT
| PUBMED
5. Kokmen E, Naessens JM, Offord KP. A Short Test of Mental Status: description and preliminary results. Mayo Clin Proc. 1987;62:281-288.
ISI
| PUBMED
6. Whitwell JL, Jack CR Jr, Duffy JR; et al. MRI correlates of the language and behavioral variants of frontotemporal dementia when both are characterized by ubiquitin-only immunoreactive changes [abstract]. Alzheimers Dement. 2006;2:S550.
7. Gass J, Cannon A, Mackenzie IR; et al. Mutations in progranulin are a major cause of ubiquitin-positive frontotemporal lobar degeneration. Hum Mol Genet. 2006;15:2988-3001.
FREE FULL TEXT
8. Josephs KA, Parisi JE, Knopman DS; et al. Clinically undetected motor neuron disease in pathologically proven frontotemporal lobar degeneration with motor neuron disease. Arch Neurol. 2006;63:506-512.
FREE FULL TEXT
9. Ashburner J, Friston KJ. Voxel-based morphometry: the methods. Neuroimage. 2000;11:805-821.
FULL TEXT
|
ISI
| PUBMED
10. Senjem ML, Gunter JL, Shiung MM; et al. Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease. Neuroimage. 2005;26:600-608.
FULL TEXT
|
ISI
| PUBMED
11. Whitwell JL, Jack CR Jr, Kantarci K; et al. Imaging correlates of posterior cortical atrophy [published online ahead of print June 22, 2006]. Neurobiol Aging. doi:10.1016/j.neurobiolaging.2006.05.026.12. Whitwell JL, Josephs KA, Rossor MN; et al. Magnetic resonance imaging signatures of tissue pathology in frontotemporal dementia. Arch Neurol. 2005;62:1402-1408.
FREE FULL TEXT
13. Whitwell JL, Jack CR Jr, Senjem ML, Josephs KA. Patterns of atrophy in pathologically confirmed FTLD with and without motor neuron degeneration. Neurology. 2006;66:102-104.
FREE FULL TEXT
14. Josephs KA, Ahmed Z, Katsuse O; et al. Neuropathologic features of front temporal lobal degeneration with ubiquity-positive inclusiions with progranulin gene (PGRN) mutations. J Neuropathol Exp Neurol. 2007;66:142-151.
PUBMED
15. Mukherjee O, Pastor P, Cairns NJ; et al. HDDD2 is a familial frontotemporal lobar degeneration with ubiquitin-positive, tau-negative inclusions caused by a missense mutation in the signal peptide of progranulin. Ann Neurol. 2006;60:314-322.
FULL TEXT
|
ISI
| PUBMED
16. Huey ED, Grafman J, Wassermann EM; et al. Characteristics of frontotemporal dementia patients with a progranulin mutation. Ann Neurol. 2006;60:374-380.
FULL TEXT
|
ISI
| PUBMED
17. Masellis M, Momeni P, Meschino W; et al. Novel splicing mutation in the progranulin gene causing familial corticobasal syndrome. Brain. 2006;129(pt 11):3115-3123.
18. Snowden JS, Pickering-Brown SM, Mackenzie IR; et al. Progranulin gene mutations associated with frontotemporal dementia and progressive non-fluent aphasia. Brain. 2006;129(pt 11):3091-3102.
19. Boeve BF, Baker M, Dickson DW; et al. Frontotemporal dementia and parkinsonism associated with the IVS1+1G->A mutation in progranulin: a clinicopathologic study. Brain. 2006;129(pt 11):2808-2810.
PUBMED
20. Lippa CF, Saunders AM, Smith TW; et al. Familial and sporadic Alzheimer's disease: neuropathology cannot exclude a final common pathway. Neurology. 1996;46:406-412.
FREE FULL TEXT
21. Ishii K, Kawachi T, Sasaki H; et al. Voxel-based morphometric comparison between early- and late-onset mild Alzheimer's disease and assessment of diagnostic performance of z score images. AJNR Am J Neuroradiol. 2005;26:333-340.
FREE FULL TEXT
22. Frisoni GB, Testa C, Sabattoli F; et al. Structural correlates of early and late onset Alzheimer's disease: voxel based morphometric study. J Neurol Neurosurg Psychiatry. 2005;76:112-114.
FREE FULL TEXT
23. Boeve BF, Lang AE, Litvan I. Corticobasal degeneration and its relationship to progressive supranuclear palsy and frontotemporal dementia. Ann Neurol. 2003;54(suppl 5):S15-S19.
FULL TEXT
|
ISI
| PUBMED
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES
Parietal Lobe Deficits in Frontotemporal Lobar Degeneration Caused by a Mutation in the Progranulin Gene
Rohrer et al.
Arch Neurol 2008;65:506-513.
ABSTRACT
| FULL TEXT
A distinct clinical, neuropsychological and radiological phenotype is associated with progranulin gene mutations in a large UK series
Beck et al.
Brain 2008;131:706-720.
ABSTRACT
| FULL TEXT
Phenotype variability in progranulin mutation carriers: a clinical, neuropsychological, imaging and genetic study
Le Ber et al.
Brain 2008;131:732-746.
ABSTRACT
| FULL TEXT
Distinct MRI Atrophy Patterns in Autopsy-Proven Alzheimer's Disease and Frontotemporal Lobar Degeneration
Rabinovici et al.
AM J ALZHEIMERS DIS OTHER DEMEN 2008;22:474-488.
ABSTRACT
Clinical Features of Pathologic Subtypes of Behavioral-Variant Frontotemporal Dementia
Hu et al.
Arch Neurol 2007;64:1611-1616.
ABSTRACT
| FULL TEXT
|
