| Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease. | |
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MedLine Citation:
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PMID: 16815039 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Statistical interdependencies between magnetoencephalographic signals recorded over different brain regions may reflect the functional connectivity of the resting-state networks. We investigated topographic characteristics of disturbed resting-state networks in Alzheimer's disease patients in different frequency bands. Whole-head 151-channel MEG was recorded in 18 Alzheimer patients (mean age 72.1 years, SD 5.6; 11 males) and 18 healthy controls (mean age 69.1 years, SD 6.8; 7 males) during a no-task eyes-closed resting state. Pair-wise interdependencies of MEG signals were computed in six frequency bands (delta, theta, alpha1, alpha2, beta and gamma) with the synchronization likelihood (a nonlinear measure) and coherence and grouped into long distance (intra- and interhemispheric) and short distance interactions. In the alpha1 and beta band, Alzheimer patients showed a loss of long distance intrahemispheric interactions, with a focus on left fronto-temporal/parietal connections. Functional connectivity was increased in Alzheimer patients locally in the theta band (centro-parietal regions) and the beta and gamma band (occipito-parietal regions). In the Alzheimer group, positive correlations were found between alpha1, alpha2 and beta band synchronization likelihood and MMSE score. Resting-state functional connectivity in Alzheimer's disease is characterized by specific changes of long and short distance interactions in the theta, alpha1, beta and gamma bands. These changes may reflect loss of anatomical connections and/or reduced central cholinergic activity and could underlie part of the cognitive impairment. |
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Authors:
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C J Stam; B F Jones; I Manshanden; A M van Cappellen van Walsum; T Montez; J P A Verbunt; J C de Munck; B W van Dijk; H W Berendse; P Scheltens |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2006-07-11 |
Journal Detail:
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Title: NeuroImage Volume: 32 ISSN: 1053-8119 ISO Abbreviation: Neuroimage Publication Date: 2006 Sep |
Date Detail:
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Created Date: 2006-08-28 Completed Date: 2006-10-30 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: 1335-44 Citation Subset: IM |
Affiliation:
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Department of Clinical Neurophysiology and MEG, VU University Medical Center, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands. CJ.Stam@VUmc.nl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Algorithms Alzheimer Disease / physiopathology* Brain Mapping Female Functional Laterality / physiology Humans Magnetoencephalography* Male Neural Pathways / physiopathology* Nonlinear Dynamics Rest / physiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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