Literature DB >> 12574429

Dynamics of gray matter loss in Alzheimer's disease.

Paul M Thompson1, 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.   

Abstract

We detected and mapped a dynamically spreading wave of gray matter loss in the brains of patients with Alzheimer's disease (AD). The loss pattern was visualized in four dimensions as it spread over time from temporal and limbic cortices into frontal and occipital brain regions, sparing sensorimotor cortices. The shifting deficits were asymmetric (left hemisphere > right hemisphere) and correlated with progressively declining cognitive status (p < 0.0006). Novel brain mapping methods allowed us to visualize dynamic patterns of atrophy in 52 high-resolution magnetic resonance image scans of 12 patients with AD (age 68.4 +/- 1.9 years) and 14 elderly matched controls (age 71.4 +/- 0.9 years) scanned longitudinally (two scans; interscan interval 2.1 +/- 0.4 years). A cortical pattern matching technique encoded changes in brain shape and tissue distribution across subjects and time. Cortical atrophy occurred in a well defined sequence as the disease progressed, mirroring the sequence of neurofibrillary tangle accumulation observed in cross sections at autopsy. Advancing deficits were visualized as dynamic maps that change over time. Frontal regions, spared early in the disease, showed pervasive deficits later (>15% loss). The maps distinguished different phases of AD and differentiated AD from normal aging. Local gray matter loss rates (5.3 +/- 2.3% per year in AD v 0.9 +/- 0.9% per year in controls) were faster in the left hemisphere (p < 0.029) than the right. Transient barriers to disease progression appeared at limbic/frontal boundaries. This degenerative sequence, observed in vivo as it developed, provides the first quantitative, dynamic visualization of cortical atrophic rates in normal elderly populations and in those with dementia.

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Year:  2003        PMID: 12574429      PMCID: PMC6741905     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  87 in total

1.  In vivo evidence for post-adolescent brain maturation in frontal and striatal regions.

Authors:  E R Sowell; P M Thompson; C J Holmes; T L Jernigan; A W Toga
Journal:  Nat Neurosci       Date:  1999-10       Impact factor: 24.884

2.  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

3.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

4.  Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain.

Authors:  E T Bullmore; J Suckling; S Overmeyer; S Rabe-Hesketh; E Taylor; M J Brammer
Journal:  IEEE Trans Med Imaging       Date:  1999-01       Impact factor: 10.048

5.  Tangles and plaques in nondemented aging and "preclinical" Alzheimer's disease.

Authors:  J L Price; J C Morris
Journal:  Ann Neurol       Date:  1999-03       Impact factor: 10.422

6.  A voxel-based morphometry study of semantic dementia: relationship between temporal lobe atrophy and semantic memory.

Authors:  C J Mummery; K Patterson; C J Price; J Ashburner; R S Frackowiak; J R Hodges
Journal:  Ann Neurol       Date:  2000-01       Impact factor: 10.422

7.  The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease.

Authors:  A Delacourte; J P David; N Sergeant; L Buée; A Wattez; P Vermersch; F Ghozali; C Fallet-Bianco; F Pasquier; F Lebert; H Petit; C Di Menza
Journal:  Neurology       Date:  1999-04-12       Impact factor: 9.910

Review 8.  Age-dependent cerebral atrophy and cognitive dysfunction in SAMP10 mice.

Authors:  A Shimada
Journal:  Neurobiol Aging       Date:  1999 Mar-Apr       Impact factor: 4.673

9.  Correlation between rates of brain atrophy and cognitive decline in AD.

Authors:  N C Fox; R I Scahill; W R Crum; M N Rossor
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

10.  Improved discrimination of AD patients using beta-amyloid(1-42) and tau levels in CSF.

Authors:  F Hulstaert; K Blennow; A Ivanoiu; H C Schoonderwaldt; M Riemenschneider; P P De Deyn; C Bancher; P Cras; J Wiltfang; P D Mehta; K Iqbal; H Pottel; E Vanmechelen; H Vanderstichele
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

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  399 in total

1.  Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients.

Authors:  Zhijun Yao; Yu Fu; Jianfeng Wu; Wenwen Zhang; Yue Yu; Zicheng Zhang; Xia Wu; Yalin Wang; Bin Hu
Journal:  Brain Imaging Behav       Date:  2020-06       Impact factor: 3.978

2.  Music as a memory enhancer in patients with Alzheimer's disease.

Authors:  Nicholas R Simmons-Stern; Andrew E Budson; Brandon A Ally
Journal:  Neuropsychologia       Date:  2010-05-07       Impact factor: 3.139

3.  Cerebral Blood Flow Is Associated with Diagnostic Class and Cognitive Decline in Alzheimer's Disease.

Authors:  Wenna Duan; Parshant Sehrawat; Arvind Balachandrasekaran; Ashish B Bhumkar; Paresh B Boraste; James T Becker; Lewis H Kuller; Oscar L Lopez; H Michael Gach; Weiying Dai
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

4.  3D maps localize caudate nucleus atrophy in 400 Alzheimer's disease, mild cognitive impairment, and healthy elderly subjects.

Authors:  S K Madsen; A J Ho; X Hua; P S Saharan; A W Toga; C R Jack; M W Weiner; P M Thompson
Journal:  Neurobiol Aging       Date:  2010-06-11       Impact factor: 4.673

5.  Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features.

Authors:  Yang Li; Yaping Wang; Guorong Wu; Feng Shi; Luping Zhou; Weili Lin; Dinggang Shen
Journal:  Neurobiol Aging       Date:  2011-01-26       Impact factor: 4.673

6.  Prediction of cognitive decline based on hemispheric cortical surface maps of FDDNP PET.

Authors:  Hillary D Protas; Vladimir Kepe; Kiralee M Hayashi; Andrea D Klunder; Meredith N Braskie; Linda Ercoli; Prabha Siddarth; Susan Y Bookheimer; Paul M Thompson; Gary W Small; Jorge R Barrio; Sung-Cheng Huang
Journal:  Neuroimage       Date:  2012-02-28       Impact factor: 6.556

7.  The Center for Computational Biology: resources, achievements, and challenges.

Authors:  Arthur W Toga; Ivo D Dinov; Paul M Thompson; Roger P Woods; John D Van Horn; David W Shattuck; D Stott Parker
Journal:  J Am Med Inform Assoc       Date:  2011-11-10       Impact factor: 4.497

Review 8.  Do brain image databanks support understanding of normal ageing brain structure? A systematic review.

Authors:  David Alexander Dickie; Dominic E Job; Ian Poole; Trevor S Ahearn; Roger T Staff; Alison D Murray; Joanna M Wardlaw
Journal:  Eur Radiol       Date:  2012-02-22       Impact factor: 5.315

9.  Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls.

Authors:  Yi-Yu Chou; Natasha Leporé; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-02-21       Impact factor: 6.556

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