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Méndez PC, Calandri I, Nahas F, Russo MJ, Demey I, Martín ME, Clarens MF, Harris P, Tapajoz F, Campos J, Surace EI, Martinetto H, Ventrice F, Cohen G, Vázquez S, Romero C, Guinjoan S, Allegri RF, Sevlever G. Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI): neuropsychological evolution profile after one-year follow up. ARQUIVOS DE NEURO-PSIQUIATRIA 2018; 76:231-240. [PMID: 29742242 DOI: 10.1590/0004-282x20180025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 01/08/2018] [Indexed: 11/22/2022]
Abstract
The Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI) study is a longitudinal prospective cohort of 50 participants at a single institution in Buenos Aires, Argentina. Longitudinal assessments on a neuropsychological test battery were performed on 15 controls, 24 mild cognitive impairment (MCI) patients and 12 Alzheimer's disease (AD) dementia patients. In our study population, there was a high prevalence of positive AD biomarkers in the AD group, 92.3% (12/13); and a low prevalence in the normal controls, 20%; almost half (48%) of the patients diagnosed with MCI had positive amyloid detection. After a one year, the significant differences found at baseline on neuropsychological testing were similar at the follow-up assessment even though the AD group had significantly altered its functional performance (FAQ and CDR). The exception was semantic fluency, which showed greater impairment between the AD group and MCI and normal controls respectively. For these tests, the addition of AD biomarkers as a variable did not significantly alter the variations previously found for the established clinical group's model. Finally, the one-year conversion rate to dementia was 20% in the MCI cohort.
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Affiliation(s)
- Patricio Chrem Méndez
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Ismael Calandri
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Federico Nahas
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - María Julieta Russo
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Ignacio Demey
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - María Eugenia Martín
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - María Florencia Clarens
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Paula Harris
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Fernanda Tapajoz
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Jorge Campos
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Ezequiel I Surace
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Horacio Martinetto
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Fernando Ventrice
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Gabriela Cohen
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Silvia Vázquez
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Carlos Romero
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Salvador Guinjoan
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Ricardo F Allegri
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
| | - Gustavo Sevlever
- Aging and Memory Center, Instituto de Investigaciones Neurológicas Raúl Carrea, Fundación para la Lucha contra las Enfermedades Neurologicas de la Infancia, Buenos Aires, Argentina
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Klöppel S, Peter J, Ludl A, Pilatus A, Maier S, Mader I, Heimbach B, Frings L, Egger K, Dukart J, Schroeter ML, Perneczky R, Häussermann P, Vach W, Urbach H, Teipel S, Hüll M, Abdulkadir A. Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study. J Alzheimers Dis 2016; 47:939-54. [PMID: 26401773 PMCID: PMC4923764 DOI: 10.3233/jad-150334] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Several studies have demonstrated that fully automated pattern recognition methods applied to structural magnetic resonance imaging (MRI) aid in the diagnosis of dementia, but these conclusions are based on highly preselected samples that significantly differ from that seen in a dementia clinic. At a single dementia clinic, we evaluated the ability of a linear support vector machine trained with completely unrelated data to differentiate between Alzheimer’s disease (AD), frontotemporal dementia (FTD), Lewy body dementia, and healthy aging based on 3D-T1 weighted MRI data sets. Furthermore, we predicted progression to AD in subjects with mild cognitive impairment (MCI) at baseline and automatically quantified white matter hyperintensities from FLAIR-images. Separating additionally recruited healthy elderly from those with dementia was accurate with an area under the curve (AUC) of 0.97 (according to Fig. 4). Multi-class separation of patients with either AD or FTD from other included groups was good on the training set (AUC > 0.9) but substantially less accurate (AUC = 0.76 for AD, AUC = 0.78 for FTD) on 134 cases from the local clinic. Longitudinal data from 28 cases with MCI at baseline and appropriate follow-up data were available. The computer tool discriminated progressive from stable MCI with AUC = 0.73, compared to AUC = 0.80 for the training set. A relatively low accuracy by clinicians (AUC = 0.81) illustrates the difficulties of predicting conversion in this heterogeneous cohort. This first application of a MRI-based pattern recognition method to a routine sample demonstrates feasibility, but also illustrates that automated multi-class differential diagnoses have to be the focus of future methodological developments and application studies
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Affiliation(s)
- Stefan Klöppel
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany.,Freiburg Brain Imaging, University Medical Center Freiburg, Germany.,Departments of Psychiatry and Psychotherapy, Section of Gerontopsychiatry and Neuropsychology, University Medical Center Freiburg, Freiburg, Germany.,Department of Neurology, University Medical Center Freiburg, Freiburg, Germany
| | - Jessica Peter
- Freiburg Brain Imaging, University Medical Center Freiburg, Germany.,Departments of Psychiatry and Psychotherapy, Section of Gerontopsychiatry and Neuropsychology, University Medical Center Freiburg, Freiburg, Germany.,Department of Neurology, University Medical Center Freiburg, Freiburg, Germany
| | - Anna Ludl
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany
| | - Anne Pilatus
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany
| | - Sabrina Maier
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany
| | - Irina Mader
- Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany
| | - Bernhard Heimbach
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany
| | - Lars Frings
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany.,Department of Nuclear Medicine, University Medical Center Freiburg, Freiburg, Germany
| | - Karl Egger
- Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany
| | - Juergen Dukart
- F. Hoffmann-La Roche, pRED, Pharma Research and Early Development, DTA Neuroscience, Basel, Switzerland.,Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University of Leipzig, and German Consortium for Frontotemporal Lobar Degeneration, Ulm, Germany
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University of Leipzig, and German Consortium for Frontotemporal Lobar Degeneration, Ulm, Germany
| | - Robert Perneczky
- Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College of Science, Technology and Medicine London, United Kingdom.,Cognitive Impairment and Dementia Services, Lakeside Mental Health Unit, West London Mental Health NHS Trust, London, UK.,Departments of Psychiatry and Psychotherapy, Technical University München, Germany
| | | | - Werner Vach
- Center for Medical Biometry and Medical Informatics, University of Freiburg, Germany
| | - Horst Urbach
- Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany
| | - Stefan Teipel
- Departments of Psychosomatic Medicine, University of Rostock, and German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Michael Hüll
- Center of Geriatrics and Gerontology Freiburg, University Medical Center Freiburg, Freiburg, Germany.,Clinics for Geronto- and Neuropsychiatry, ZfP Emmendingen, Emmendingen, Germany
| | - Ahmed Abdulkadir
- Freiburg Brain Imaging, University Medical Center Freiburg, Germany.,Department of Computer Science and BIOSS Centre for Biological Signaling Studies, University of Freiburg, Germany
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Woollacott IOC, Rohrer JD. The clinical spectrum of sporadic and familial forms of frontotemporal dementia. J Neurochem 2016; 138 Suppl 1:6-31. [PMID: 27144467 DOI: 10.1111/jnc.13654] [Citation(s) in RCA: 89] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 04/10/2016] [Accepted: 04/27/2016] [Indexed: 12/11/2022]
Abstract
The term frontotemporal dementia (FTD) describes a clinically, genetically and pathologically diverse group of neurodegenerative disorders. Symptoms of FTD can present in individuals in their 20s through to their 90s, but the mean age at onset is in the sixth decade. The most common presentation is with a change in personality and impaired social conduct (behavioural variant FTD). Less frequently patients present with language problems (primary progressive aphasia). Both of these groups of patients can develop motor features consistent with either motor neuron disease (usually the amyotrophic lateral sclerosis variant) or parkinsonism (most commonly a progressive supranuclear palsy or corticobasal syndrome). In about a third of cases FTD is familial, with mutations in the progranulin, microtubule-associated protein tau and chromosome 9 open reading frame 72 genes being the major causes. Mutations in a number of other genes including TANK-binding kinase 1 are rare causes of familial FTD. This review aims to clarify the often confusing terminology of FTD, and outline the various clinical features and diagnostic criteria of sporadic and familial FTD syndromes. It will also discuss the current major challenges in FTD research and clinical practice, and potential areas for future research. This review clarifies the terminology of frontotemporal dementia (FTD) and summarizes the various clinical features and most recent diagnostic criteria of sporadic and familial FTD syndromes. It also discusses the current major challenges in FTD research and clinical practice, and highlights potential areas for future research.
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Affiliation(s)
- Ione O C Woollacott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
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Abstract
Objective:Primitive reflexes and parkinsonian signs are used by clinicians to differentiate among dementias. We reviewed our clinical sample to determine whether primitive reflexes were more prevalent in frontally-based dementias and whether parkinsonian signs were more common in dementia with Lewy bodies (DLB) than in other types of dementia.Design:We retrospectively reviewed charts from 204 patients with dementia who presented for consultation at Baycrest's Ross Memory Clinic between April, 2003, to December, 2007.Results:A greater proportion of subjects with DLB and dementia of the Alzheimer type with cardiovascular disease had primitive reflexes than subjects with frontotemporal dementia (FTD). Primitive reflexes were not positively predictive of FTD or vascular dementia (VaD). Dementia with Lewy bodies subjects were more likely to have parkinsonian signs than the other dementias, and bradykinesia and rigidity were positively predictive of FTD. The palmomental reflex was the most common primitive reflex in the sample, and cogwheeling was the most common parkinsonian sign. There was no significant difference between early- and late-stage groups in presence of primitive reflexes or parkinsonian signs.Conclusions:Primitive reflexes appear not to be clinically discriminative of frontally-based dementias such as FTD and VaD.
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Jiménez-Huete A, Riva E, Toledano R, Campo P, Esteban J, Barrio AD, Franch O. Differential diagnosis of degenerative dementias using basic neuropsychological tests: multivariable logistic regression analysis of 301 patients. Am J Alzheimers Dis Other Demen 2014; 29:723-31. [PMID: 24838533 PMCID: PMC10852726 DOI: 10.1177/1533317514534954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The validity of neuropsychological tests for the differential diagnosis of degenerative dementias may depend on the clinical context. We constructed a series of logistic models taking into account this factor. METHODS We retrospectively analyzed the demographic and neuropsychological data of 301 patients with probable Alzheimer's disease (AD), frontotemporal degeneration (FTLD), or dementia with Lewy bodies (DLB). Nine models were constructed taking into account the diagnostic question (eg, AD vs DLB) and subpopulation (incident vs prevalent). RESULTS The AD versus DLB model for all patients, including memory recovery and phonological fluency, was highly accurate (area under the curve = 0.919, sensitivity = 90%, and specificity = 80%). The results were comparable in incident and prevalent cases. The FTLD versus AD and DLB versus FTLD models were both inaccurate. CONCLUSION The models constructed from basic neuropsychological variables allowed an accurate differential diagnosis of AD versus DLB but not of FTLD versus AD or DLB.
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Affiliation(s)
- Adolfo Jiménez-Huete
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
| | - Elena Riva
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
| | - Rafael Toledano
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
| | - Pablo Campo
- Department of Basic Psychology, Autonoma University of Madrid, Madrid, Spain
| | - Jesús Esteban
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
| | - Antonio Del Barrio
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
| | - Oriol Franch
- Department of Neurology, General Neurology Unit, Hospital Ruber Internacional, Madrid, Spain
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Martikainen MH, Gardberg M, Jansson L, Röyttä M, Rinne JO, Kaasinen V. Brain ¹⁸F-FDG and ¹¹C-PiB PET findings in two siblings with FTD/ALS associated with the C9ORF72 repeat expansion. Neurocase 2014; 20:150-7. [PMID: 23216213 DOI: 10.1080/13554794.2012.741252] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The C9ORF72 hexanucleotide expansion is a major pathological expansion pattern found in patients with frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (C9FTD/ALS). We describe a patient in whom early clinical evaluation, MRI and fluorodeoxyglucose (FDG) positron emission tomography (PET) findings failed to definitively differentiate between FTD and Alzheimer's disease (AD), whereas (11)C-Pittsburgh compound B (PiB) PET was negative for amyloid pathology. He later developed ALS symptoms, and post mortem neuropathological findings were diagnostic of FTD-ALS, while no findings suggested AD. His sister was diagnosed with FTD, and the C9ORF72 expansion was detected in both siblings. We conclude that ¹¹C-PiB PET imaging may help the early differential diagnosis between AD and FTD, including C9FTD/ALS.
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Affiliation(s)
- Mika H Martikainen
- a Department of Neurology , University of Turku and Turku University Hospital , Turku , Finland
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Degerman Gunnarsson M, Lindau M, Santillo AF, Wall A, Engler H, Lannfelt L, Basun H, Kilander L. Re-evaluation of clinical dementia diagnoses with pittsburgh compound B positron emission tomography. Dement Geriatr Cogn Dis Extra 2013; 3:472-81. [PMID: 24516415 PMCID: PMC3919484 DOI: 10.1159/000356273] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Objectives There is an overlap regarding Pittsburgh compound B (PIB) retention in patients clinically diagnosed as Alzheimer's disease (AD) and non-AD dementia. The aim of the present study was to investigate whether there are any differences between PIB-positive and PIB-negative patients in a mixed cohort of patients with neurodegenerative dementia of mild severity regarding neuropsychological test performance and regional cerebral glucose metabolism measured with [18F]fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET). Methods Eighteen patients clinically diagnosed as probable AD or frontotemporal dementia were examined with PIB PET, FDG PET and neuropsychological tests and followed for 5-9 years in a clinical setting. Results The PIB-positive patients (7 out of 18) had slower psychomotor speed and more impaired visual episodic memory than the PIB-negative patients; otherwise performance did not differ between the groups. The initial clinical diagnoses were changed in one third of the patients (6 out of 18) during follow-up. Conclusions The subtle differences in neuropsychological performance, the overlap of hypometabolic patterns and clinical features between AD and non-AD dementia highlight the need for amyloid biomarkers and a readiness to re-evaluate the initial diagnosis.
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Affiliation(s)
- M Degerman Gunnarsson
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Stockholm, Sweden
| | - M Lindau
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Stockholm, Sweden ; Department of Psychology, Stockholm University, Stockholm, Stockholm, Sweden
| | - A F Santillo
- Geriatric Psychiatry, Department of Clinical Medicine, Lund University, Lund, Stockholm, Sweden
| | - A Wall
- Section of Nuclear Medicine and PET, Department of Radiology, Oncology and Radiation Sciences, Uppsala University, Uppsala, Stockholm, Sweden
| | - H Engler
- Faculty of Medicine and Faculty of Science, University of the Republic Uruguay, Montevideo, Uruguay
| | - L Lannfelt
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Stockholm, Sweden
| | - H Basun
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Stockholm, Sweden ; BioArctic Neuroscience AB, Stockholm, Sweden
| | - L Kilander
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Stockholm, Sweden
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Regions of Interest–Based Discriminant Analysis of DaTSCAN SPECT and FDG-PET for the Classification of Dementia. Clin Nucl Med 2013; 38:e112-7. [DOI: 10.1097/rlu.0b013e318279b991] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Whitwell JL, Josephs KA. Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology. Nat Rev Neurol 2012; 8:131-42. [PMID: 22290573 DOI: 10.1038/nrneurol.2012.7] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) encompasses a group of diseases characterized by neuronal loss and gliosis of the frontal and temporal lobes. Almost all cases of FTLD can be classified into three categories on the basis of deposition of one of three abnormal proteins: the microtubule-associated protein tau, TAR DNA-binding protein 43, or fused in sarcoma. The specific diagnoses within each of these three categories are further differentiated by the distribution and morphological appearance of the protein-containing inclusions. Future treatments are likely to target these abnormal proteins; the clinical challenge, therefore, is to be able to predict molecular pathology during life. Clinical diagnosis alone has had variable success in helping to predict pathology, and is particularly poor in the diagnosis of behavioral variant frontotemporal dementia, which can be associated with all three abnormal proteins. Consequently, other biomarkers of disease are needed. This Review highlights how patterns of atrophy assessed on MRI demonstrate neuroanatomical signatures of the individual FTLD pathologies, independent of clinical phenotype. The roles of these patterns of atrophy as biomarkers of disease, and their potential to help predict pathology during life in patients with FTLD, are also discussed.
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Affiliation(s)
- Jennifer L Whitwell
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
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Shimada H, Ataka S, Takeuchi J, Mori H, Wada Y, Watanabe Y, Miki T. Pittsburgh compound B-negative dementia: a possibility of misdiagnosis of patients with non-alzheimer disease-type dementia as having AD. J Geriatr Psychiatry Neurol 2011; 24:123-6. [PMID: 21750305 DOI: 10.1177/0891988711409410] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Amyloid imaging has been used to detect amyloid deposition in the brain. We performed Pittsburgh compound B (PiB)-positron emission tomography on 63 patients with dementia having cognitive decline or memory disturbance. In addition, we measured the patients' apolipoprotein E4 (apo E4) status and cerebrospinal fluid (CSF) levels of amyloid-β (Aβ)1-42, tau, and P-tau. Finally, the patients were diagnosed as having probable Alzheimer disease (AD) on the basis of their neuropsychological findings and because they met the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association criteria. Among the patients diagnosed with probable AD, 10 patients were PiB negative. The CSF levels of P-tau and tau in PiB-negative patients were significantly lower than those in the PiB-positive patients. In addition, the CSF levels of Aβ1-42 in the PiB-negative patients were significantly higher than those in the PiB-positive patients. None of the PiB-negative patients were apo E4 carriers. These results suggest that the PiB-negative patient group included not only AD patients but also non-AD-type dementia patients. However, our finding is based on a relatively small number of patients and therefore should be replicated in a larger cohort. In addition, it will be necessary to categorize these participants by longitudinal follow-up and postmortem pathological examinations.
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Affiliation(s)
- Hiroyuki Shimada
- Department of Geriatrics and Neurology, Osaka City University Graduate School of Medicine, Japan.
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Halliday GM, Holton JL, Revesz T, Dickson DW. Neuropathology underlying clinical variability in patients with synucleinopathies. Acta Neuropathol 2011; 122:187-204. [PMID: 21720849 DOI: 10.1007/s00401-011-0852-9] [Citation(s) in RCA: 315] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2011] [Revised: 06/18/2011] [Accepted: 06/20/2011] [Indexed: 01/31/2023]
Abstract
Abnormal aggregates of the synaptic protein, α-synuclein, are the dominant pathology in syndromes known as the synucleinopathies. The cellular aggregation of the protein occurs in three distinct types of inclusions in three main clinical syndromes. α-Synuclein deposits in neuronal Lewy bodies and Lewy neurites in idiopathic Parkinson's disease (PD) and dementia with Lewy bodies (DLB), as well as incidentally in a number of other conditions. In contrast, α-synuclein deposits largely in oligodendroglial cytoplasmic inclusions in multiple system atrophy (MSA). Lastly, α-synuclein also deposits in large axonal spheroids in a number of rarer neuroaxonal dystrophies. Disorders are usually defined by their most dominant pathology, but for the synucleinopathies, clinical heterogeneity within the main syndromes is well documented. MSA was originally viewed as three different clinical phenotypes due to different anatomical localization of the lesions. In PD, recent meta-analyses have identified four main clinical phenotypes, and clinicopathological correlations suggest that more severe and more rapid progression of pathology with chronological age, as well as the involvement of additional neuropathologies, differentiates these phenotypes. In DLB, recent large studies show that clinical diagnosis is too insensitive to identify the syndrome itself, although clinicopathological studies suggest variable clinical features occur in the different pathological forms of this syndrome (pure DLB, DLB with Alzheimer's disease (AD), and AD with amygdala predominant Lewy pathology). The recognition of considerable heterogeneity within the synucleinopathy syndromes is important for the identification of factors involved in changing their pathological phenotype.
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Affiliation(s)
- Glenda M Halliday
- Neuroscience Research Australia, University of New South Wales, Randwick, Sydney, Australia.
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