Literature DB >> 9758213

Cortical variability and asymmetry in normal aging and Alzheimer's disease.

P M Thompson1, J Moussai, S Zohoori, A Goldkorn, A A Khan, M S Mega, G W Small, J L Cummings, A W Toga.   

Abstract

The onset of Alzheimer's disease (AD) is accompanied by a complex and distributed pattern of neuroanatomic change, difficult to distinguish clinically from dynamic alterations in normal aging. Extreme variations in the sulcal patterns of the human cortex have made it difficult to identify diffuse and focal variations in cortical structure in neurodegenerative disease. We report the first comprehensive 3D statistical analysis of deep sulcal structure in vivo, in both normal aging and dementia. High-resolution 3D T1-weighted fast SPGR (spoiled GRASS) MRI volumes were acquired from 10 patients diagnosed with AD (NINCDS-ARDRA criteria; age: 71.9 +/- 10.7 years) and 10 normal subjects matched for age (72.9 +/- 5.6 years), gender, educational level and handedness. Scans were digitally transformed into Talairach stereotaxic space. To determine specific patterns of cortical variation in dementia patients, 3D average and probabilistic maps of primary deep sulci were developed for both normal and AD groups. Major sulci (including supracallosal, cingulate, marginal, parieto-occipital, anterior and posterior calcarine sulci, and Sylvian fissures) were modeled as complex systems of 3D surfaces using a multi-resolution parametric mesh approach. Variations and asymmetries in their extents, curvature, area and surface complexity were evaluated. Three-dimensional maps of anatomic variability, structural asymmetry and local atrophy indicated severe regionally selective fiber loss in AD. A midsagittal area loss of 24.5% at the corpus callosum's posterior midbody (P < 0.025) matched increases in structural variability in corresponding temporo-parietal projection areas. Confidence limits on 3D cortical variation, visualized in 3D, exhibited severe increases in AD from 2 to 4 mm at the callosum to a peak SD of 19.6 mm at the posterior left Sylvian fissure. Normal Sylvian fissure asymmetries (right higher than left; P < 0.0005), mapped for the first time in three dimensions, were accentuated in AD (P < 0.0002), and were greater in AD than in controls (P < 0.05). Severe AD-related increases in 3D variability and asymmetry may reflect disease-related disruption of the commissural system connecting bilateral temporal and parietal cortical zones, regions known to be at risk of early metabolic dysfunction, perfusion deficits and selective neuronal loss in AD.

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Year:  1998        PMID: 9758213     DOI: 10.1093/cercor/8.6.492

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  64 in total

1.  Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain.

Authors:  P M Thompson; R P Woods; M S Mega; A W Toga
Journal:  Hum Brain Mapp       Date:  2000-02       Impact factor: 5.038

Review 2.  Evolution of the diagnostic criteria for degenerative and cognitive disorders.

Authors:  Oscar L Lopez; Eric McDade; Mario Riverol; James T Becker
Journal:  Curr Opin Neurol       Date:  2011-12       Impact factor: 5.710

3.  Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings.

Authors:  Neda Jahanshad; Agatha D Lee; Marina Barysheva; Katie L McMahon; Greig I de Zubicaray; Nicholas G Martin; Margaret J Wright; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2010-04-27       Impact factor: 6.556

4.  Detecting disease-specific patterns of brain structure using cortical pattern matching and a population-based probabilistic brain atlas.

Authors:  Paul M Thompson; Michael S Mega; Christine Vidal; Judith L Rapoport; Arthur W Toga
Journal:  Inf Process Med Imaging       Date:  2001

Review 5.  Towards multimodal atlases of the human brain.

Authors:  Arthur W Toga; Paul M Thompson; Susumu Mori; Katrin Amunts; Karl Zilles
Journal:  Nat Rev Neurosci       Date:  2006-12       Impact factor: 34.870

6.  Optimization of the SNR-resolution tradeoff for registration of magnetic resonance images.

Authors:  Shoan C Kale; Jason P Lerch; R Mark Henkelman; X Josette Chen
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

7.  Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia.

Authors:  Anqi Qiu; Laurent Younes; Lei Wang; J Tilak Ratnanather; Sarah K Gillepsie; Gillian Kaplan; John Csernansky; Michael I Miller
Journal:  Neuroimage       Date:  2007-05-18       Impact factor: 6.556

8.  Inferring brain variability from diffeomorphic deformations of currents: an integrative approach.

Authors:  Stanley Durrleman; Xavier Pennec; Alain Trouvé; Paul Thompson; Nicholas Ayache
Journal:  Med Image Anal       Date:  2008-06-21       Impact factor: 8.545

9.  An entorhinal cortex sulcal pattern is associated with Alzheimer's disease.

Authors:  Jiong Zhan; Miroslaw Brys; Lidia Glodzik; Wai Tsui; Elizabeth Javier; Jerzy Wegiel; Izabela Kuchna; Elizabeth Pirraglia; Yi Li; Lisa Mosconi; Leslie A Saint Louis; Remigiusz Switalski; Susan De Santi; Byeong C Kim; Thomas Wisniewski; Barry Reisberg; Matthew Bobinski; Mony J de Leon
Journal:  Hum Brain Mapp       Date:  2009-03       Impact factor: 5.038

10.  Dynamics of gray matter loss in Alzheimer's disease.

Authors:  Paul M Thompson; Kiralee M Hayashi; Greig de Zubicaray; Andrew L Janke; Stephen E Rose; James Semple; David Herman; Michael S Hong; Stephanie S Dittmer; David M Doddrell; Arthur W Toga
Journal:  J Neurosci       Date:  2003-02-01       Impact factor: 6.167

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