Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity
Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The fo...
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description | Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The form and role of functional connectivity changes thus remains ambiguous. The current study shows more conclusive data on connectivity changes in early AD using graph analysis on resting-state condition fMRI data.
18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional coupling between brain regions was calculated on the basis of pair-wise synchronizations between regional time-series. Local (cluster coefficient) and global (path length) network measures were quantitatively defined. Compared to controls, the characteristic path length of AD functional networks is closer to the theoretical values of random networks, while no significant differences were found in cluster coefficient. The whole-brain average synchronization does not differ between Alzheimer and healthy control groups. Post-hoc analysis of the regional synchronization reveals increased AD synchronization involving the frontal cortices and generalized decreases located at the parietal and occipital regions. This effectively translates in a global reduction of functional long-distance links between frontal and caudal brain regions.
We present evidence of AD-induced changes in global brain functional connectivity specifically affecting long-distance connectivity. This finding is highly relevant for it supports the anterior-posterior disconnection theory and its role in AD. Our results can be interpreted as reflecting the randomization of the brain functional networks in AD, further suggesting a loss of global information integration in disease. |
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18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional coupling between brain regions was calculated on the basis of pair-wise synchronizations between regional time-series. Local (cluster coefficient) and global (path length) network measures were quantitatively defined. Compared to controls, the characteristic path length of AD functional networks is closer to the theoretical values of random networks, while no significant differences were found in cluster coefficient. The whole-brain average synchronization does not differ between Alzheimer and healthy control groups. Post-hoc analysis of the regional synchronization reveals increased AD synchronization involving the frontal cortices and generalized decreases located at the parietal and occipital regions. This effectively translates in a global reduction of functional long-distance links between frontal and caudal brain regions.
We present evidence of AD-induced changes in global brain functional connectivity specifically affecting long-distance connectivity. This finding is highly relevant for it supports the anterior-posterior disconnection theory and its role in AD. Our results can be interpreted as reflecting the randomization of the brain functional networks in AD, further suggesting a loss of global information integration in disease.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0013788</identifier><identifier>PMID: 21072180</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Advertising executives ; Age ; Aged ; Aged, 80 and over ; Algorithms ; Alzheimer Disease - pathology ; Alzheimer Disease - physiopathology ; Alzheimer's disease ; Attention deficit hyperactivity disorder ; Brain ; Brain - pathology ; Brain - physiopathology ; Brain mapping ; Brain Mapping - methods ; Clusters ; Cognition & reasoning ; Cognitive ability ; Computational Biology/Computational Neuroscience ; Cortex ; Dementia ; Departments ; Female ; Functional magnetic resonance imaging ; Humans ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical research ; Memory ; Middle Aged ; Models, Neurological ; Nerve Net - pathology ; Nerve Net - physiopathology ; Networks ; Neural networks ; Neurodegenerative diseases ; Neuroimaging ; Neurological Disorders/Alzheimer Disease ; Neurology ; NMR ; Nuclear magnetic resonance ; Patients ; Radiology and Medical Imaging/Magnetic Resonance Imaging ; Regional analysis ; Rest ; Structure-function relationships ; Synchronism ; Synchronization ; Time synchronization ; Young Adult</subject><ispartof>PloS one, 2010-11, Vol.5 (11), p.e13788-e13788</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Sanz-Arigita et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Sanz-Arigita et al. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c840t-93f02fce77b4e385c8020f0f44c52acccc06f074cd738a554ebb1e2460342af73</citedby><cites>FETCH-LOGICAL-c840t-93f02fce77b4e385c8020f0f44c52acccc06f074cd738a554ebb1e2460342af73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967467/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967467/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21072180$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>S. Breitner, John C.</contributor><creatorcontrib>Sanz-Arigita, Ernesto J</creatorcontrib><creatorcontrib>Schoonheim, Menno M</creatorcontrib><creatorcontrib>Damoiseaux, Jessica S</creatorcontrib><creatorcontrib>Rombouts, Serge A R B</creatorcontrib><creatorcontrib>Maris, Erik</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Scheltens, Philip</creatorcontrib><creatorcontrib>Stam, Cornelis J</creatorcontrib><title>Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The form and role of functional connectivity changes thus remains ambiguous. The current study shows more conclusive data on connectivity changes in early AD using graph analysis on resting-state condition fMRI data.
18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional coupling between brain regions was calculated on the basis of pair-wise synchronizations between regional time-series. Local (cluster coefficient) and global (path length) network measures were quantitatively defined. Compared to controls, the characteristic path length of AD functional networks is closer to the theoretical values of random networks, while no significant differences were found in cluster coefficient. The whole-brain average synchronization does not differ between Alzheimer and healthy control groups. Post-hoc analysis of the regional synchronization reveals increased AD synchronization involving the frontal cortices and generalized decreases located at the parietal and occipital regions. This effectively translates in a global reduction of functional long-distance links between frontal and caudal brain regions.
We present evidence of AD-induced changes in global brain functional connectivity specifically affecting long-distance connectivity. This finding is highly relevant for it supports the anterior-posterior disconnection theory and its role in AD. Our results can be interpreted as reflecting the randomization of the brain functional networks in AD, further suggesting a loss of global information integration in disease.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Advertising executives</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer Disease - physiopathology</subject><subject>Alzheimer's disease</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Brain</subject><subject>Brain - pathology</subject><subject>Brain - physiopathology</subject><subject>Brain mapping</subject><subject>Brain Mapping - methods</subject><subject>Clusters</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Computational Biology/Computational Neuroscience</subject><subject>Cortex</subject><subject>Dementia</subject><subject>Departments</subject><subject>Female</subject><subject>Functional magnetic resonance imaging</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical research</subject><subject>Memory</subject><subject>Middle Aged</subject><subject>Models, Neurological</subject><subject>Nerve Net - pathology</subject><subject>Nerve Net - physiopathology</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neurological Disorders/Alzheimer Disease</subject><subject>Neurology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Radiology and Medical Imaging/Magnetic Resonance Imaging</subject><subject>Regional analysis</subject><subject>Rest</subject><subject>Structure-function relationships</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Time synchronization</subject><subject>Young 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of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity</title><author>Sanz-Arigita, Ernesto J ; Schoonheim, Menno M ; Damoiseaux, Jessica S ; Rombouts, Serge A R B ; Maris, Erik ; Barkhof, Frederik ; Scheltens, Philip ; Stam, Cornelis J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c840t-93f02fce77b4e385c8020f0f44c52acccc06f074cd738a554ebb1e2460342af73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Advertising executives</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer Disease - physiopathology</topic><topic>Alzheimer's disease</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Brain</topic><topic>Brain - pathology</topic><topic>Brain - 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Breitner, John C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2010-11-01</date><risdate>2010</risdate><volume>5</volume><issue>11</issue><spage>e13788</spage><epage>e13788</epage><pages>e13788-e13788</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The form and role of functional connectivity changes thus remains ambiguous. The current study shows more conclusive data on connectivity changes in early AD using graph analysis on resting-state condition fMRI data.
18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional coupling between brain regions was calculated on the basis of pair-wise synchronizations between regional time-series. Local (cluster coefficient) and global (path length) network measures were quantitatively defined. Compared to controls, the characteristic path length of AD functional networks is closer to the theoretical values of random networks, while no significant differences were found in cluster coefficient. The whole-brain average synchronization does not differ between Alzheimer and healthy control groups. Post-hoc analysis of the regional synchronization reveals increased AD synchronization involving the frontal cortices and generalized decreases located at the parietal and occipital regions. This effectively translates in a global reduction of functional long-distance links between frontal and caudal brain regions.
We present evidence of AD-induced changes in global brain functional connectivity specifically affecting long-distance connectivity. This finding is highly relevant for it supports the anterior-posterior disconnection theory and its role in AD. Our results can be interpreted as reflecting the randomization of the brain functional networks in AD, further suggesting a loss of global information integration in disease.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21072180</pmid><doi>10.1371/journal.pone.0013788</doi><tpages>e13788</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Advertising executives Age Aged Aged, 80 and over Algorithms Alzheimer Disease - pathology Alzheimer Disease - physiopathology Alzheimer's disease Attention deficit hyperactivity disorder Brain Brain - pathology Brain - physiopathology Brain mapping Brain Mapping - methods Clusters Cognition & reasoning Cognitive ability Computational Biology/Computational Neuroscience Cortex Dementia Departments Female Functional magnetic resonance imaging Humans Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical research Memory Middle Aged Models, Neurological Nerve Net - pathology Nerve Net - physiopathology Networks Neural networks Neurodegenerative diseases Neuroimaging Neurological Disorders/Alzheimer Disease Neurology NMR Nuclear magnetic resonance Patients Radiology and Medical Imaging/Magnetic Resonance Imaging Regional analysis Rest Structure-function relationships Synchronism Synchronization Time synchronization Young Adult |
title | Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity |
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