Literature DB >> 24531157

Shape analysis of the corpus callosum in Alzheimer's disease and frontotemporal lobar degeneration subtypes.

Mark Walterfang1, Eileen Luders2, Jeffrey C L Looi3, Priya Rajagopalan2, Dennis Velakoulis1, Paul M Thompson4, Olof Lindberg5, Per Ostberg6, Love E Nordin7, Leif Svensson7, Lars-Olof Wahlund5.   

Abstract

Morphology of the corpus callosum is a useful biomarker of neuronal loss, as different patterns of cortical atrophy help to distinguish between dementias such as Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD). We used a sophisticated morphometric analysis of the corpus callosum in FTLD subtypes including frontotemporal dementia (FTD), semantic dementia (SD), and progressive non-fluent aphasia (PNFA), and compared them to AD patients and 27 matched controls. FTLD patient subgroups diverged in their callosal morphology profiles, with FTD patients showing marked widespread differences, PNFA patients with differences largely in the anterior half of the callosum, and SD patients differences in a small segment of the genu. AD patients showed differences in predominantly posterior callosal regions. This study is consistent with our previous findings showing significant cortical and subcortical regional atrophy across FTLD subtypes, and suggests that callosal atrophy patterns differentiate AD from FTLD, and FTLD subtypes.

Entities:  

Keywords:  Alzheimer's disease; corpus callosum; frontotemporal dementia; white matter

Mesh:

Year:  2014        PMID: 24531157      PMCID: PMC4288754          DOI: 10.3233/JAD-131853

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  54 in total

1.  Patterns of brain atrophy in frontotemporal dementia and semantic dementia.

Authors:  H J Rosen; M L Gorno-Tempini; W P Goldman; R J Perry; N Schuff; M Weiner; R Feiwell; J H Kramer; B L Miller
Journal:  Neurology       Date:  2002-01-22       Impact factor: 9.910

2.  White matter damage in frontotemporal lobar degeneration spectrum.

Authors:  F Agosta; E Scola; E Canu; A Marcone; G Magnani; L Sarro; M Copetti; F Caso; C Cerami; G Comi; S F Cappa; A Falini; M Filippi
Journal:  Cereb Cortex       Date:  2011-10-10       Impact factor: 5.357

3.  Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease.

Authors:  D I Kaufer; B L Miller; L Itti; L A Fairbanks; J Li; J Fishman; J Kushi; J L Cummings
Journal:  Neurology       Date:  1997-04       Impact factor: 9.910

Review 4.  Corpus callosum atrophy is a possible indicator of region- and cell type-specific neuronal degeneration in Alzheimer disease: a magnetic resonance imaging analysis.

Authors:  H Hampel; S J Teipel; G E Alexander; B Horwitz; D Teichberg; M B Schapiro; S I Rapoport
Journal:  Arch Neurol       Date:  1998-02

5.  Shape analysis of the neostriatum in subtypes of frontotemporal lobar degeneration: neuroanatomically significant regional morphologic change.

Authors:  Jeffrey Chee Leong Looi; Mark Walterfang; Martin Styner; Marc Niethammer; Leif Anders Svensson; Olof Lindberg; Per Ostberg; Lisa Botes; Eva Orndahl; Phyllis Chua; Dennis Velakoulis; Lars-Olof Wahlund
Journal:  Psychiatry Res       Date:  2011-01-15       Impact factor: 3.222

6.  Region-specific corpus callosum atrophy correlates with the regional pattern of cortical glucose metabolism in Alzheimer disease.

Authors:  S J Teipel; H Hampel; P Pietrini; G E Alexander; B Horwitz; E Daley; H J Möller; M B Schapiro; S I Rapoport
Journal:  Arch Neurol       Date:  1999-04

7.  Distinct MRI atrophy patterns in autopsy-proven Alzheimer's disease and frontotemporal lobar degeneration.

Authors:  G D Rabinovici; W W Seeley; E J Kim; M L Gorno-Tempini; K Rascovsky; T A Pagliaro; S C Allison; C Halabi; J H Kramer; J K Johnson; M W Weiner; M S Forman; J Q Trojanowski; S J Dearmond; B L Miller; H J Rosen
Journal:  Am J Alzheimers Dis Other Demen       Date:  2007 Dec-2008 Jan       Impact factor: 2.035

8.  Clinical and pathological continuum of multisystem TDP-43 proteinopathies.

Authors:  Felix Geser; Maria Martinez-Lage; John Robinson; Kunihiro Uryu; Manuela Neumann; Nicholas J Brandmeir; Sharon X Xie; Linda K Kwong; Lauren Elman; Leo McCluskey; Chris M Clark; Joe Malunda; Bruce L Miller; Earl A Zimmerman; Jiang Qian; Vivianna Van Deerlin; Murray Grossman; Virginia M-Y Lee; John Q Trojanowski
Journal:  Arch Neurol       Date:  2009-02

9.  Atrophy patterns in histologic vs clinical groupings of frontotemporal lobar degeneration.

Authors:  J M S Pereira; G B Williams; J Acosta-Cabronero; G Pengas; M G Spillantini; J H Xuereb; J R Hodges; P J Nestor
Journal:  Neurology       Date:  2009-05-12       Impact factor: 9.910

10.  Neuroimaging signatures of frontotemporal dementia genetics: C9ORF72, tau, progranulin and sporadics.

Authors:  Jennifer L Whitwell; Stephen D Weigand; Bradley F Boeve; Matthew L Senjem; Jeffrey L Gunter; Mariely DeJesus-Hernandez; Nicola J Rutherford; Matthew Baker; David S Knopman; Zbigniew K Wszolek; Joseph E Parisi; Dennis W Dickson; Ronald C Petersen; Rosa Rademakers; Clifford R Jack; Keith A Josephs
Journal:  Brain       Date:  2012-03       Impact factor: 13.501

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2.  An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer's disease.

Authors:  Madelaine Daianu; Mario F Mendez; Vatche G Baboyan; Yan Jin; Rebecca J Melrose; Elvira E Jimenez; Paul M Thompson
Journal:  Brain Imaging Behav       Date:  2016-12       Impact factor: 3.978

3.  Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia.

Authors:  Elisa Canu; Federica Agosta; Gorana Mandic-Stojmenovic; Tanja Stojković; Elka Stefanova; Alberto Inuggi; Francesca Imperiale; Massimiliano Copetti; Vladimir S Kostic; Massimo Filippi
Journal:  Neuroimage Clin       Date:  2017-05-25       Impact factor: 4.881

4.  Prospective Associations of Tea Consumption With Risk of Cognitive Decline in the Elderly: A 1-Year Follow-Up Study in China.

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5.  The Pathoconnectivity Profile of Alzheimer's Disease: A Morphometric Coalteration Network Analysis.

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6.  Midsagittal corpus callosal thickness and cognitive impairment in Parkinson's disease.

Authors:  Conor Owens-Walton; Chris Adamson; Mark Walterfang; Sara Hall; Danielle van Westen; Oskar Hansson; Marnie Shaw; Jeffrey C L Looi
Journal:  Eur J Neurosci       Date:  2022-03-22       Impact factor: 3.698

  6 in total

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