Literature DB >> 21113707

Gray matter concentration and effective connectivity changes in Alzheimer's disease: a longitudinal structural MRI study.

Xingfeng Li1, Damien Coyle, Liam Maguire, David R Watson, Thomas M McGinnity.   

Abstract

INTRODUCTION: Understanding disease progression in Alzheimer's disease (AD) awaits the resolution of three fundamental questions: first, can we identify the location of "seed" regions where neuropathology is first present? Some studies have suggested the medial temporal lobe while others have suggested the hippocampus. Second, are there similar atrophy rates within affected regions in AD? Third, is there evidence of causality relationships between different affected regions in AD progression?
METHODS: To address these questions, we conducted a longitudinal MRI study to investigate the gray matter (GM) changes in AD progression. Abnormal brain regions were localized by a standard voxel-based morphometry method, and the absolute atrophy rate in these regions was calculated using a robust regression method. Primary foci of atrophy were identified in the hippocampus and middle temporal gyrus (MTG). A model based upon the Granger causality approach was developed to investigate the cause-effect relationship over time between these regions based on GM concentration.
RESULTS: Results show that in the earlier stages of AD, primary pathological foci are in the hippocampus and entorhinal cortex. Subsequently, atrophy appears to subsume the MTG.
CONCLUSION: The causality results show that there is in fact little difference between AD and age-matched healthy control in terms of hippocampus atrophy, but there are larger differences in MTG, suggesting that local pathology in MTG is the predominant progressive abnormality during intermediate stages of AD development.

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Mesh:

Year:  2010        PMID: 21113707     DOI: 10.1007/s00234-010-0795-1

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  55 in total

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4.  Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: an independent component analysis.

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5.  Voxel-based morphometry to discriminate early Alzheimer's disease from controls.

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6.  Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study.

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Review 8.  Longitudinal imaging: change and causality.

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9.  An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer's disease.

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10.  A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging.

Authors:  Rachael I Scahill; Chris Frost; Rhian Jenkins; Jennifer L Whitwell; Martin N Rossor; Nick C Fox
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  19 in total

1.  Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network.

Authors: 
Journal:  Conf Comput Vis Pattern Recognit Workshops       Date:  2013

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Journal:  Brain Behav Immun       Date:  2012-11-02       Impact factor: 7.217

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6.  Are apathy and depression independently associated with longitudinal trajectories of cortical atrophy in mild cognitive impairment?

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7.  Dynamics analysis of the hippocampal neuronal model subjected to cholinergic action related with Alzheimer's disease.

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8.  Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review.

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9.  Computational study of hippocampal-septal theta rhythm changes due to β-amyloid-altered ionic channels.

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10.  Clinical applications of neuroimaging in patients with Alzheimer's disease: a review from the Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia 2012.

Authors:  Jean-Paul Soucy; Robert Bartha; Christian Bocti; Michael Borrie; Amer M Burhan; Robert Laforce; Pedro Rosa-Neto
Journal:  Alzheimers Res Ther       Date:  2013-07-08       Impact factor: 6.982

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