Literature DB >> 22951070

Neuroimaging correlates of pathologically defined subtypes of Alzheimer's disease: a case-control study.

Jennifer L Whitwell1, Dennis W Dickson, Melissa E Murray, Stephen D Weigand, Nirubol Tosakulwong, Matthew L Senjem, David S Knopman, Bradley F Boeve, Joseph E Parisi, Ronald C Petersen, Clifford R Jack, Keith A Josephs.   

Abstract

BACKGROUND: Three subtypes of Alzheimer's disease (AD) have been pathologically defined on the basis of the distribution of neurofibrillary tangles: typical AD, hippocampal-sparing AD, and limbic-predominant AD. Compared with typical AD, hippocampal-sparing AD has more neurofibrillary tangles in the cortex and fewer in the hippocampus, whereas the opposite pattern is seen in limbic-predominant AD. We aimed to determine whether MRI patterns of atrophy differ between these subtypes and whether structural neuroimaging could be a useful predictor of pathological subtype at autopsy.
METHODS: We identified patients who had been followed up in the Mayo Clinic Alzheimer's Disease Research Center (Rochester, MN, USA) or in the Alzheimer's Disease Patient Registry (Rochester, MN, USA) between 1992 and 2005. To be eligible for inclusion, participants had to have had dementia, AD pathology at autopsy (Braak stage ≥IV and intermediate to high probability of AD), and an ante-mortem MRI. Cases were assigned to one of three pathological subtypes--hippocampal-sparing, limbic-predominant, and typical AD--on the basis of neurofibrillary tangle counts in hippocampus and cortex and ratio of hippocampal to cortical burden, without reference to neuronal loss. Voxel-based morphometry and atlas-based parcellation were used to compare patterns of grey matter loss between groups and with age-matched control individuals. Neuroimaging was obtained at the time of first presentation. To summarise pair-wise group differences, we report the area under the receiver operator characteristic curve (AUROC).
FINDINGS: Of 177 eligible patients, 125 (71%) were classified as having typical AD, 33 (19%) as having limbic-predominant AD, and 19 (11%) as having hippocampal-sparing AD. Most patients with typical (98 [78%]) and limbic-predominant AD (31 [94%]) initially presented with an amnestic syndrome, but fewer patients with hippocampal-sparing AD (eight [42%]) did. The most severe medial temporal atrophy was recorded in patients with limbic-predominant AD, followed by those with typical disease, and then those with hippocampal-sparing AD. Conversely, the most severe cortical atrophy was noted in patients with hippocampal-sparing AD, followed by those with typical disease, and then limbic-predominant AD. The ratio of hippocampal to cortical volumes allowed the best discrimination between subtypes (p<0·0001; three-way AUROC 0·52 [95% CI 0·47-0·52]; ratio of AUROC to chance classification 3·1 [2·8-3·1]). Patients with typical AD and non-amnesic initial presentation had a significantly higher ratio of hippocampal to cortical volumes (median 0·045 [IQR 0·035-0·056]) than did those with an amnesic presentation (0·041 [0·031-0·057]; p=0·001).
INTERPRETATION: Patterns of atrophy on MRI differ across the pathological subtypes of AD. MRI regional volumetric analysis can reliably track the distribution of neurofibrillary tangle pathology and can predict pathological subtype of AD at autopsy. FUNDING: US National Institutes of Health (National Institute on Aging).
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22951070      PMCID: PMC3490201          DOI: 10.1016/S1474-4422(12)70200-4

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  28 in total

1.  ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies.

Authors:  Jialiang Li; Jason P Fine
Journal:  Biostatistics       Date:  2008-02-27       Impact factor: 5.899

2.  Reduced cortical thickness in the posterior cingulate gyrus is characteristic of both typical and atypical Alzheimer's disease.

Authors:  Manja Lehmann; Jonathan D Rohrer; Matthew J Clarkson; Gerard R Ridgway; Rachael I Scahill; Marc Modat; Jason D Warren; Sebastien Ourselin; Josephine Barnes; Martin N Rossor; Nick C Fox
Journal:  J Alzheimers Dis       Date:  2010       Impact factor: 4.472

3.  Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study.

Authors:  Melissa E Murray; Neill R Graff-Radford; Owen A Ross; Ronald C Petersen; Ranjan Duara; Dennis W Dickson
Journal:  Lancet Neurol       Date:  2011-07-27       Impact factor: 44.182

4.  Clinical syndromes associated with posterior atrophy: early age at onset AD spectrum.

Authors:  R Migliaccio; F Agosta; K Rascovsky; A Karydas; S Bonasera; G D Rabinovici; B L Miller; M L Gorno-Tempini
Journal:  Neurology       Date:  2009-11-10       Impact factor: 9.910

5.  Progressive aphasia secondary to Alzheimer disease vs FTLD pathology.

Authors:  K A Josephs; J L Whitwell; J R Duffy; W A Vanvoorst; E A Strand; W T Hu; B F Boeve; N R Graff-Radford; J E Parisi; D S Knopman; D W Dickson; C R Jack; R C Petersen
Journal:  Neurology       Date:  2008-01-01       Impact factor: 9.910

6.  MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study.

Authors:  J L Whitwell; K A Josephs; M E Murray; K Kantarci; S A Przybelski; S D Weigand; P Vemuri; M L Senjem; J E Parisi; D S Knopman; B F Boeve; R C Petersen; D W Dickson; C R Jack
Journal:  Neurology       Date:  2008-09-02       Impact factor: 9.910

7.  Alzheimer and frontotemporal pathology in subsets of primary progressive aphasia.

Authors:  Marsel Mesulam; Alissa Wicklund; Nancy Johnson; Emily Rogalski; Gabriel C Léger; Alfred Rademaker; Sandra Weintraub; Eileen H Bigio
Journal:  Ann Neurol       Date:  2008-06       Impact factor: 10.422

8.  Temporoparietal atrophy: a marker of AD pathology independent of clinical diagnosis.

Authors:  Jennifer L Whitwell; Clifford R Jack; Scott A Przybelski; Joseph E Parisi; Matthew L Senjem; Bradley F Boeve; David S Knopman; Ronald C Petersen; Dennis W Dickson; Keith A Josephs
Journal:  Neurobiol Aging       Date:  2009-11-14       Impact factor: 4.673

9.  Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies.

Authors:  Prashanthi Vemuri; Jeffrey L Gunter; Matthew L Senjem; Jennifer L Whitwell; Kejal Kantarci; David S Knopman; Bradley F Boeve; Ronald C Petersen; Clifford R Jack
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10.  Focal cortical presentations of Alzheimer's disease.

Authors:  S Alladi; J Xuereb; T Bak; P Nestor; J Knibb; K Patterson; J R Hodges
Journal:  Brain       Date:  2007-10       Impact factor: 13.501

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  159 in total

1.  Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier.

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Review 2.  Clinical Neurology and Epidemiology of the Major Neurodegenerative Diseases.

Authors:  Michael G Erkkinen; Mee-Ohk Kim; Michael D Geschwind
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3.  TDP-43 is a key player in the clinical features associated with Alzheimer's disease.

Authors:  Keith A Josephs; Jennifer L Whitwell; Stephen D Weigand; Melissa E Murray; Nirubol Tosakulwong; Amanda M Liesinger; Leonard Petrucelli; Matthew L Senjem; David S Knopman; Bradley F Boeve; Robert J Ivnik; Glenn E Smith; Clifford R Jack; Joseph E Parisi; Ronald C Petersen; Dennis W Dickson
Journal:  Acta Neuropathol       Date:  2014-03-23       Impact factor: 17.088

4.  A method for inferring regional origins of neurodegeneration.

Authors:  Justin Torok; Pedro D Maia; Fon Powell; Sneha Pandya; Ashish Raj
Journal:  Brain       Date:  2018-03-01       Impact factor: 13.501

Review 5.  Future Directions in Imaging Neurodegeneration.

Authors:  Joseph C Masdeu
Journal:  Curr Neurol Neurosci Rep       Date:  2017-01       Impact factor: 5.081

Review 6.  Pathology in primary progressive aphasia syndromes.

Authors:  Jennifer M Harris; Matthew Jones
Journal:  Curr Neurol Neurosci Rep       Date:  2014-08       Impact factor: 5.081

7.  Mapping the Progression of Atrophy in Early- and Late-Onset Alzheimer's Disease.

Authors:  Raffaella Migliaccio; Federica Agosta; Katherine L Possin; Elisa Canu; Massimo Filippi; Gil D Rabinovici; Howard J Rosen; Bruce L Miller; Maria Luisa Gorno-Tempini
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

8.  Neuroimaging correlates with neuropathologic schemes in neurodegenerative disease.

Authors:  Val J Lowe; Emily S Lundt; Sabrina M Albertson; Scott A Przybelski; Matthew L Senjem; Joseph E Parisi; Kejal Kantarci; Bradley Boeve; David T Jones; David Knopman; Clifford R Jack; Dennis W Dickson; Ronald C Petersen; Melissa E Murray
Journal:  Alzheimers Dement       Date:  2019-06-04       Impact factor: 21.566

9.  Voxel-based Morphometry of Brain MRI in Normal Aging and Alzheimer's Disease.

Authors:  Hiroshi Matsuda
Journal:  Aging Dis       Date:  2012-12-04       Impact factor: 6.745

10.  Microbleeds in atypical presentations of Alzheimer's disease: a comparison to dementia of the Alzheimer's type.

Authors:  Jennifer L Whitwell; Kejal Kantarci; Stephen D Weigand; Emily S Lundt; Jeffrey L Gunter; Joseph R Duffy; Edythe A Strand; Mary M Machulda; Anthony J Spychalla; Daniel A Drubach; Ronald C Petersen; Val J Lowe; Clifford R Jack; Keith A Josephs
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

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