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1.  Antemortem amyloid imaging and β-amyloid pathology in a case with dementia with Lewy Bodies 
Neurobiology of Aging  2010;33(5):878-885.
The association between antemortem [11C]-Pittsburgh Compound B (PiB) retention and β-amyloid (Aβ) load, Lewy body (LB) and neurofibrillary tangle (NFT) densities were investigated in a pathologically confirmed case of dementia with LB (DLB). 76-year-old man presenting with a clinical diagnosis of DLB had undergone PiB–positron emission tomography (PET), 18F FDG-PET and MRI 18 months before death. The pathologic diagnosis was DLB neocortical-type with low-likelihood of Alzheimer's disease by NIA-Reagan criteria. Sections from regions of interest (ROI) on post-mortem examination were studied. A significant correlation was found between cortical Aβ density and PiB retention in the 17 corresponding ROIs (r=0.899; p<0.0001). Bielschowsky silver stain revealed mostly sparse neocortical neuritic plaques; whereas diffuse plaques were frequent. There was no correlation between LB density and PiB retention (r=0.13; p=0.66); nor between NFT density and PiB retention (r=−0.36; p=0.17). The ROI-based analysis of imaging and histopathological data confirms that PiB uptake on PET is a specific marker for Aβ density, but cannot differentiate neuritic from diffuse amyloid plaques in this case with DLB.
PMCID: PMC3026854  PMID: 20961664
Dementia with Lewy bodies; amyloid imaging; PET; pathology; amyloid
2.  Antemortem Differential Diagnosis of Dementia Pathology using Structural MRI: Differential-STAND 
NeuroImage  2010;55(2):522-531.
The common neurodegenerative pathologies underlying dementia are Alzheimer’s disease (AD), Lewy body disease (LBD) and Frontotemporal lobar degeneration (FTLD). Our aim was to identify patterns of atrophy unique to each of these diseases using antemortem structural-MRI scans of pathologically-confirmed dementia cases and build an MRI-based differential diagnosis system. Our approach of creating atrophy maps using structural-MRI and applying them for classification of new incoming patients is labeled Differential-STAND (Differential-diagnosis based on STructural Abnormality in NeuroDegeneration). Pathologically-confirmed subjects with a single dementing pathologic diagnosis who had an MRI at the time of clinical diagnosis of dementia were identified: 48 AD, 20 LBD, 47 FTLD-TDP (pathology-confirmed FTLD with TDP-43). Gray matter density in 91 regions-of-interest was measured in each subject and adjusted for head-size and age using a database of 120 cognitively normal elderly. The atrophy patterns in each dementia type when compared to pathologically-confirmed controls mirrored known disease-specific anatomic patterns: AD-temporoparietal association cortices and medial temporal lobe; FTLD-TDP-frontal and temporal lobes and LBD-bilateral amygdalae, dorsal midbrain and inferior temporal lobes. Differential-STAND based classification of each case was done based on a mixture model generated using bisecting k-means clustering of the information from the MRI scans. Leave-one-out classification showed reasonable performance compared to the autopsy gold-standard and clinical diagnosis: AD (sensitivity:90.7%; specificity:84 %), LBD (sensitivity:78.6%; specificity:98.8%) and FTLD-TDP (sensitivity:84.4%; specificity:93.8%). The proposed approach establishes a direct a priori relationship between specific topographic patterns on MRI and “gold standard” of pathology which can then be used to predict underlying dementia pathology in new incoming patients.
PMCID: PMC3039279  PMID: 21195775
MRI; Alzheimer’s disease; Lewy body disease; Frontotemporal lobar degeneration
3.  Temporoparietal hypometabolism is common in FTLD and is associated with imaging diagnostic errors 
Archives of neurology  2010;68(3):329-337.
To evaluate the cause of diagnostic errors in the visual interpretation of positron emission tomography scans with 18F-fluorodeoxyglucose (FDG-PET) in patients with frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD).
Twelve trained raters unaware of clinical and autopsy information independently reviewed FDG-PET scans and provided their diagnostic impression and confidence of either FTLD or AD. Six of these raters also recorded whether metabolism appeared normal or abnormal in 5 predefined brain regions in each hemisphere – frontal cortex, anterior cingulate cortex, anterior temporal cortex, temporoparietal cortex and posterior cingulate cortex. Results were compared to neuropathological diagnoses.
Academic medical centers
45 patients with pathologically confirmed FTLD (n=14) or AD (n=31)
Raters had a high degree of diagnostic accuracy in the interpretation of FDG-PET scans; however, raters consistently found some scans more difficult to interpret than others. Unanimity of diagnosis among the raters was more frequent in patients with AD (27/31, 87%) than in patients with FTLD (7/14, 50%) (p = 0.02). Disagreements in interpretation of scans in patients with FTLD largely occurred when there was temporoparietal hypometabolism, which was present in 7 of the 14 FTLD scans and 6 of the 7 lacking unanimity. Hypometabolism of anterior cingulate and anterior temporal regions had higher specificities and positive likelihood ratios for FTLD than temporoparietal hypometabolism had for AD.
Temporoparietal hypometabolism in FTLD is common and may cause inaccurate interpretation of FDG-PET scans. An interpretation paradigm that focuses on the absence of hypometabolism in regions typically affected in AD before considering FTLD is likely to misclassify a significant portion of FTLD scans. Anterior cingulate and/or anterior temporal hypometabolism indicates a high likelihood of FTLD, even when temporoparietal hypometabolism is present. Ultimately, the accurate interpretation of FDG-PET scans in patients with dementia cannot rest on the presence or absence of a single region of hypometabolism, but must take into account the relative hypometabolism of all brain regions.
PMCID: PMC3058918  PMID: 21059987
4.  Clinical, neuroimaging and neuropathological features of a new chromosome 9p-linked FTD-ALS family 
Frontotemporal dementia-amyotrophic lateral sclerosis (FTD-ALS) is a heritable form of FTD, but the gene(s) responsible for the majority of autosomal dominant FTD-ALS cases have yet to be found. Previous studies have identified a region on chromosome 9p that is associated with FTD and ALS.
The authors report the clinical, volumetric MRI, neuropathological and genetic features of a new chromosome 9p-linked FTD-ALS family, VSM-20.
Ten members of family VSM-20 displayed heterogeneous clinical phenotypes of isolated behavioural-variant FTD (bvFTD), ALS or a combination of the two. Parkinsonism was common, with one individual presenting with a corticobasal syndrome. Analysis of structural MRI scans from five affected family members revealed grey- and white-matter loss that was most prominent in the frontal lobes, with mild parietal and occipital lobe atrophy, but less temporal lobe atrophy than in 10 severity-matched sporadic bvFTD cases. Autopsy in three family members showed a consistent and unique subtype of FTLD-TDP pathology. Genome-wide linkage analysis conclusively linked family VSM-20 to a 28.3 cM region between D9S1808 and D9S251 on chromosome 9p, reducing the published minimal linked region to a 3.7 Mb interval. Genomic sequencing and expression analysis failed to identify mutations in the 10 known and predicted genes within this candidate region, suggesting that next-generation sequencing may be needed to determine the mutational mechanism associated with chromosome 9p-linked FTD-ALS.
Family VSM-20 significantly reduces the region linked to FTD-ALS on chromosome 9p. A distinct pattern of brain atrophy and neuropathological findings may help to identify other families with FTD-ALS caused by this genetic abnormality.
PMCID: PMC3017222  PMID: 20562461
5.  Autoimmune Dementia: Clinical Course and Predictors of Immunotherapy Response 
Mayo Clinic Proceedings  2010;85(10):881-897.
OBJECTIVE: To define the diagnostic characteristics and predictors of treatment response in patients with suspected autoimmune dementia.
PATIENTS AND METHODS: Between January 1, 2002, and January 1, 2009, 72 consecutive patients received immunotherapy for suspected autoimmune dementia. Their baseline clinical, radiologic, and serologic characteristics were reviewed and compared between patients who were responsive to immunotherapy and those who were not. Patients were classified as responders if the treating physician had reported improvement after immunotherapy (documented in 80% by the Kokmen Short Test of Mental Status, neuropsychological testing, or both).
RESULTS: Initial immunotherapeutic regimens included methylprednisolone in 56 patients (78%), prednisone in 12 patients (17%), dexamethasone in 2 patients (3%), intravenous immune globulin in 1 patient (1%), and plasma exchange in 1 patient (1%). Forty-six patients (64%) improved, most in the first week of treatment. Thirty-five percent of these immunotherapy responders were initially diagnosed as having a neurodegenerative or prion disorder. Pretreatment and posttreatment neuropsychological score comparisons revealed improvement in almost all cognitive domains, most notably learning and memory. Radiologic or electroencephalographic improvements were reported in 22 (56%) of 39 patients. Immunotherapy responsiveness was predicted by a subacute onset (P<.001), fluctuating course (P<.001), tremor (P=.007), shorter delay to treatment (P=.005), seropositivity for a cation channel complex autoantibody (P=.01; neuronal voltage-gated potassium channel more than calcium channel or neuronal acetylcholine receptor), and elevated cerebrospinal fluid protein (>100 mg/dL) or pleocytosis (P=.02). Of 26 immunotherapy-responsive patients followed up for more than 1 year, 20 (77%) relapsed after discontinuing immunotherapy.
CONCLUSION: Identification of clinical and serologic clues to an autoimmune dementia allows early initiation of immunotherapy, and maintenance if needed, thus favoring an optimal outcome.
Identification of clinical and serologic clues to an autoimmune dementia allows early initiation of immunotherapy, and maintenance if needed, thus favoring an optimal outcome.
PMCID: PMC2947960  PMID: 20884824
6.  Common variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions 
Van Deerlin, Vivianna M. | Sleiman, Patrick M. A. | Martinez-Lage, Maria | Chen-Plotkin, Alice | Wang, Li-San | Graff-Radford, Neill R | Dickson, Dennis W. | Rademakers, Rosa | Boeve, Bradley F. | Grossman, Murray | Arnold, Steven E. | Mann, David M.A. | Pickering-Brown, Stuart M. | Seelaar, Harro | Heutink, Peter | van Swieten, John C. | Murrell, Jill R. | Ghetti, Bernardino | Spina, Salvatore | Grafman, Jordan | Hodges, John | Spillantini, Maria Grazia | Gilman, Sid' | Lieberman, Andrew P. | Kaye, Jeffrey A. | Woltjer, Randall L. | Bigio, Eileen H | Mesulam, Marsel | al-Sarraj, Safa | Troakes, Claire | Rosenberg, Roger N. | White, Charles L. | Ferrer, Isidro | Lladó, Albert | Neumann, Manuela | Kretzschmar, Hans A. | Hulette, Christine Marie | Welsh-Bohmer, Kathleen A. | Miller, Bruce L | Alzualde, Ainhoa | de Munain, Adolfo Lopez | McKee, Ann C. | Gearing, Marla | Levey, Allan I. | Lah, James J. | Hardy, John | Rohrer, Jonathan D. | Lashley, Tammaryn | Mackenzie, Ian R.A. | Feldman, Howard H. | Hamilton, Ronald L. | Dekosky, Steven T. | van der Zee, Julie | Kumar-Singh, Samir | Van Broeckhoven, Christine | Mayeux, Richard | Vonsattel, Jean Paul G. | Troncoso, Juan C. | Kril, Jillian J | Kwok, John B.J. | Halliday, Glenda M. | Bird, Thomas D. | Ince, Paul G. | Shaw, Pamela J. | Cairns, Nigel J. | Morris, John C. | McLean, Catriona Ann | DeCarli, Charles | Ellis, William G. | Freeman, Stefanie H. | Frosch, Matthew P. | Growdon, John H. | Perl, Daniel P. | Sano, Mary | Bennett, David A. | Schneider, Julie A. | Beach, Thomas G. | Reiman, Eric M. | Woodruff, Bryan K. | Cummings, Jeffrey | Vinters, Harry V. | Miller, Carol A. | Chui, Helena C. | Alafuzoff, Irina | Hartikainen, Päivi | Seilhean, Danielle | Galasko, Douglas | Masliah, Eliezer | Cotman, Carl W. | Tuñón, M. Teresa | Martínez, M. Cristina Caballero | Munoz, David G. | Carroll, Steven L. | Marson, Daniel | Riederer, Peter F. | Bogdanovic, Nenad | Schellenberg, Gerard D. | Hakonarson, Hakon | Trojanowski, John Q. | Lee, Virginia M.-Y.
Nature genetics  2010;42(3):234-239.
Frontotemporal lobar degeneration (FTLD) is the second most common cause of presenile dementia. The predominant neuropathology is FTLD with TAR DNA binding protein (TDP-43) inclusions (FTLD-TDP)1. FTLD-TDP is frequently familial resulting from progranulin (GRN) mutations. We assembled an international collaboration to identify susceptibility loci for FTLD-TDP, using genome-wide association (GWA). We found that FTLD-TDP associates with multiple SNPs mapping to a single linkage disequilibrium (LD) block on 7p21 that contains TMEM106B in a GWA study (GWAS) on 515 FTLD-TDP cases. Three SNPs retained genome-wide significance following Bonferroni correction; top SNP rs1990622 (P=1.08×10−11; odds ratio (OR) minor allele (C) 0.61, 95% CI 0.53-0.71). The association replicated in 89 FTLD-TDP cases (rs1990622; P=2×10−4). TMEM106B variants may confer risk by increasing TMEM106B expression. TMEM106B variants also contribute to genetic risk for FTLD-TDP in patients with GRN mutations. Our data implicate TMEM106B as a strong risk factor for FTLD-TDP suggesting an underlying pathogenic mechanism.
PMCID: PMC2828525  PMID: 20154673
7.  Effects of age on the glucose metabolic changes in mild cognitive impairment 
Background and Purpose
Decreased glucose metabolism in the temporal and parietal lobes on [18F]fluorodeoxyglucose (FDG) PET is recognized as an early imaging marker for the Alzheimer’s disease (AD) pathology. Our objective was to investigate the effects of age on FDG PET findings in aMCI.
25 patients with aMCI at 55–86 years of age (median = 73), and 25 age and gender matched cognitively normal (CN) subjects underwent FDG PET. SPM5 was used to compare the FDG uptake in aMCI-old (>73 years) and aMCI-young (>73 years) patients to CN subjects. The findings in the aMCI-old patients were independently validated in a separate cohort of 10 aMCI and 13 CN subjects older than 73 years of age.
The pattern of decreased glucose metabolism and gray matter atrophy in the medial temporal, posterior cingulate, precuneus, lateral parietal and temporal lobes in aMCI-young subjects was consistent with the typical pattern observed in AD. The pattern of glucose metabolic changes in aMCI-old subjects was different, predominantly involving the frontal lobes and the left parietal lobe. Gray matter atrophy in aMCI-old subjects was less pronounced than the aMCI-young subjects involving the hippocampus and the basal forebrain in both hemispheres
Pathological heterogeneity may be underlying the absence of AD-like glucose metabolic changes in older compared to younger aMCI patients. This may be an important consideration for the clinical use of temporoparietal hypometabolism on FDG PET as a marker for early diagnosis of AD in aMCI.
PMCID: PMC2890033  PMID: 20299441
8.  Off-Label Medication Use in Frontotemporal Dementia 
There are no Food and Drug Administration (FDA)-approved medications indicated for the treatment of frontotemporal dementia (FTD). We sought to determine the most commonly used drugs used to treat behavioral variant FTD (bvFTD) in specialized dementia clinics.
Medication and demographic data from the Alzheimer’s Disease Research Centers of California (ARCC) and a multicenter FTD natural history study (NHS) data set were compared in bvFTD and Alzheimer’s disease (AD), and effects of demographic variables were assessed using logistic regression.
Overall, the percentage of patients taking one or more FDA-approved AD or psychiatric medications was similar in bvFTD and AD; however, after controlling for demographic variables, acetylcholinesterase inhibitor (AChI) use was less common in bvFTD, whereas memantine use remained similar in the 2 groups.
Despite lack of evidence for efficacy, the use of AChIs and memantine is common in bvFTD. Clinical trials should be pursued to determine the optimal therapeutic interventions for bvFTD.
PMCID: PMC2862544  PMID: 20124256
frontotemporal dementia; Alzheimer’s disease; treatment; donepezil; memantine; galantamine; antipsychotic agents

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