Literature DB >> 20156566

Shape analysis of the neostriatum in frontotemporal lobar degeneration, Alzheimer's disease, and controls.

Jeffrey Chee Leong Looi1, Mark Walterfang, Martin Styner, Leif Svensson, Olof Lindberg, Per Ostberg, Lisa Botes, Eva Orndahl, Phyllis Chua, Rajeev Kumar, Dennis Velakoulis, Lars-Olof Wahlund.   

Abstract

BACKGROUND AND
PURPOSE: Frontostriatal circuit mediated cognitive dysfunction has been implicated in frontotemporal lobar degeneration (FTLD), but not Alzheimer's disease, or healthy aging. We measured the neostriatum (caudate nucleus and putamen) volume in FTLD (n=34), in comparison with controls (n=27) and Alzheimer's disease (AD, n=19) subjects.
METHODS: Diagnoses were based on international consensus criteria. Manual bilateral segmentation of the caudate nucleus and putamen was conducted blind to diagnosis by a single analyst, on MRI scans using a standardized protocol. Intra-cranial volume was calculated via a stereological point counting technique and was used for scaling the shape analysis. The manual segmentation binaries were analyzed using UNC Shape Analysis tools (University of North Carolina) to perform comparisons among FTLD, AD, and controls for global shape, local p-value significance maps, and mean magnitude of shape displacement.
RESULTS: Shape analysis revealed that there was significant shape difference between FTLD, AD, and controls, consistent with the predicted frontostriatal dysfunction and of significant magnitude, as measured by displacement maps. There was a lateralized difference in shape for the left caudate for FTLD compared to AD; non-specific global atrophy in AD compared to controls; while FTLD showed a more specific pattern in regions relaying fronto- and corticostriatal circuits.
CONCLUSIONS: Shape analysis shows regional specificity of atrophy, manifest as shape deflation, with implications for frontostriatal and corticostriatal motoric circuits, in FTLD, AD, and controls. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20156566     DOI: 10.1016/j.neuroimage.2010.02.017

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

1.  Size and shape of the caudate nucleus in individuals with bipolar affective disorder.

Authors:  Daniel Ong; Mark Walterfang; Gin S Malhi; Martin Styner; Dennis Velakoulis; Christos Pantelis
Journal:  Aust N Z J Psychiatry       Date:  2012-02-24       Impact factor: 5.744

2.  Differential putaminal morphology in Huntington's disease, frontotemporal dementia and Alzheimer's disease.

Authors:  Jeffrey C L Looi; Priya Rajagopalan; Mark Walterfang; Sarah K Madsen; Paul M Thompson; Matthew D Macfarlane; Chris Ching; Phyllis Chua; Dennis Velakoulis
Journal:  Aust N Z J Psychiatry       Date:  2012-09-18       Impact factor: 5.744

3.  Hippocampal shape analysis in Alzheimer's disease and frontotemporal lobar degeneration subtypes.

Authors:  Olof Lindberg; Mark Walterfang; Jeffrey C L Looi; Nikolai Malykhin; Per Ostberg; Bram Zandbelt; Martin Styner; Beatriz Paniagua; Dennis Velakoulis; Eva Orndahl; Lars-Olof Wahlund
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

4.  Morphometric analysis of subcortical structures in progressive supranuclear palsy: In vivo evidence of neostriatal and mesencephalic atrophy.

Authors:  Jeffrey C L Looi; Matthew D Macfarlane; Mark Walterfang; Martin Styner; Dennis Velakoulis; Jimmy Lätt; Danielle van Westen; Christer Nilsson
Journal:  Psychiatry Res       Date:  2011-09-06       Impact factor: 3.222

5.  The Australian, US, Scandinavian Imaging Exchange (AUSSIE): an innovative, virtually-integrated health research network embedded in health care.

Authors:  Jeffrey Cl Looi; Dennis Velakoulis; Mark Walterfang; Nellie Georgiou-Karistianis; Matthew D Macfarlane; Brian D Power; Christer Nilsson; Martin Styner; Paul M Thompson; Danielle Van Westen; Fiona A Wilkes; Lars-Olof Wahlund
Journal:  Australas Psychiatry       Date:  2014-02-19       Impact factor: 1.369

6.  Label-fusion-segmentation and deformation-based shape analysis of deep gray matter in multiple sclerosis: the impact of thalamic subnuclei on disability.

Authors:  Stefano Magon; M Mallar Chakravarty; Michael Amann; Katrin Weier; Yvonne Naegelin; Michaela Andelova; Ernst-Wilhelm Radue; Christoph Stippich; Jason P Lerch; Ludwig Kappos; Till Sprenger
Journal:  Hum Brain Mapp       Date:  2014-02-07       Impact factor: 5.038

7.  Shape abnormalities of the caudate nucleus correlate with poorer gait and balance: results from a subset of the LADIS study.

Authors:  Matthew D Macfarlane; Jeffrey C L Looi; Mark Walterfang; Gabriela Spulber; Dennis Velakoulis; Martin Styner; Milita Crisby; Eva Orndahl; Timo Erkinjuntti; Gunhild Waldemar; Ellen Garde; Michael G Hennerici; Hansjörg Bäzner; Christian Blahak; Anders Wallin; Lars-Olof Wahlund
Journal:  Am J Geriatr Psychiatry       Date:  2013-08-01       Impact factor: 4.105

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

Authors:  Mark Walterfang; Eileen Luders; Jeffrey C L Looi; Priya Rajagopalan; Dennis Velakoulis; Paul M Thompson; Olof Lindberg; Per Ostberg; Love E Nordin; Leif Svensson; Lars-Olof Wahlund
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

9.  A comparison between volumetric data generated by voxel-based morphometry and manual parcellation of multimodal regions of the frontal lobe.

Authors:  O Lindberg; A Manzouri; E Westman; L-O Wahlund
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-10       Impact factor: 3.825

10.  Three-Class Differential Diagnosis among Alzheimer Disease, Frontotemporal Dementia, and Controls.

Authors:  Pradeep Reddy Raamana; Howard Rosen; Bruce Miller; Michael W Weiner; Lei Wang; Mirza Faisal Beg
Journal:  Front Neurol       Date:  2014-05-12       Impact factor: 4.003

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