Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease
Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a f...
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| Veröffentlicht in: | PloS one 2017-06, Vol.12 (6), p.e0178529-e0178529 |
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| creator | Kazemifar, Samaneh Manning, Kathryn Y Rajakumar, Nagalingam Gómez, Francisco A Soddu, Andrea Borrie, Michael J Menon, Ravi S Bartha, Robert |
| description | Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative. An independent component analysis was applied to the RS-fMRI, followed by template matching to identify neuronal components (NC). A regional brain activity measurement was constructed based on the variation of the RS-fMRI signal of these NC. The standardized glucose uptake values of several brain regions relative to the cerebellum (SUVR) were measured from partial volume corrected FDG-PET images. Comparing the AD and NEC groups, the mean brain activity metric was significantly lower in the accumbens, while the glucose SUVR was significantly lower in the amygdala and hippocampus. The RS-fMRI brain activity metric was positively correlated with cognitive measures and amyloid β1-42 cerebral spinal fluid levels; however, these did not remain significant following Bonferroni correction. There was a significant linear correlation between the brain activity metric and the glucose SUVR measurements. This proof of concept study demonstrates that this novel and easy to implement RS-fMRI brain activity metric can differentiate a group of healthy elderly controls from a group of people with AD. |
| doi_str_mv | 10.1371/journal.pone.0178529 |
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Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative. An independent component analysis was applied to the RS-fMRI, followed by template matching to identify neuronal components (NC). A regional brain activity measurement was constructed based on the variation of the RS-fMRI signal of these NC. The standardized glucose uptake values of several brain regions relative to the cerebellum (SUVR) were measured from partial volume corrected FDG-PET images. Comparing the AD and NEC groups, the mean brain activity metric was significantly lower in the accumbens, while the glucose SUVR was significantly lower in the amygdala and hippocampus. The RS-fMRI brain activity metric was positively correlated with cognitive measures and amyloid β1-42 cerebral spinal fluid levels; however, these did not remain significant following Bonferroni correction. There was a significant linear correlation between the brain activity metric and the glucose SUVR measurements. This proof of concept study demonstrates that this novel and easy to implement RS-fMRI brain activity metric can differentiate a group of healthy elderly controls from a group of people with AD.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0178529</identifier><identifier>PMID: 28582450</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Aging ; Alzheimer Disease - cerebrospinal fluid ; Alzheimer Disease - diagnosis ; Alzheimer Disease - physiopathology ; Alzheimer's disease ; Amygdala ; Amygdala - metabolism ; Amygdala - physiopathology ; Amyloid beta-Peptides - cerebrospinal fluid ; Analysis ; Biology and Life Sciences ; Biophysics ; Brain ; Brain mapping ; Brain research ; Care and treatment ; Case-Control Studies ; Cerebellum ; Cerebellum - metabolism ; Cerebellum - physiopathology ; Cerebrospinal fluid ; Cognitive ability ; Correlation analysis ; Databases, Factual ; Dementia ; Diagnosis ; Disease control ; Female ; Fluorodeoxyglucose F18 - administration & dosage ; Functional anatomy ; Functional magnetic resonance imaging ; Geriatrics ; Glucose ; Glucose metabolism ; Hippocampus ; Hippocampus - metabolism ; Hippocampus - physiopathology ; Humans ; Independent component analysis ; Low frequencies ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicine ; Medicine and Health Sciences ; Metabolism ; Neurodegenerative diseases ; Neuroimaging ; Neurology ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Nuclear medicine ; Nucleus accumbens ; Nucleus Accumbens - metabolism ; Nucleus Accumbens - physiopathology ; Older people ; People and Places ; Peptide Fragments - cerebrospinal fluid ; Physiology ; Positron emission ; Positron emission tomography ; Radiopharmaceuticals - administration & dosage ; Research and Analysis Methods ; Studies ; Template matching ; Tomography ; β-Amyloid</subject><ispartof>PloS one, 2017-06, Vol.12 (6), p.e0178529-e0178529</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Kazemifar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2017 Kazemifar et al 2017 Kazemifar et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-747e71718a5bf1601734f080bd300c8fcfd254700c50732005a3a9389e7f91353</citedby><cites>FETCH-LOGICAL-c692t-747e71718a5bf1601734f080bd300c8fcfd254700c50732005a3a9389e7f91353</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/PMC5459336/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459336/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28582450$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chen, Kewei</contributor><creatorcontrib>Kazemifar, Samaneh</creatorcontrib><creatorcontrib>Manning, Kathryn Y</creatorcontrib><creatorcontrib>Rajakumar, Nagalingam</creatorcontrib><creatorcontrib>Gómez, Francisco A</creatorcontrib><creatorcontrib>Soddu, Andrea</creatorcontrib><creatorcontrib>Borrie, Michael J</creatorcontrib><creatorcontrib>Menon, Ravi S</creatorcontrib><creatorcontrib>Bartha, Robert</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative. An independent component analysis was applied to the RS-fMRI, followed by template matching to identify neuronal components (NC). A regional brain activity measurement was constructed based on the variation of the RS-fMRI signal of these NC. The standardized glucose uptake values of several brain regions relative to the cerebellum (SUVR) were measured from partial volume corrected FDG-PET images. Comparing the AD and NEC groups, the mean brain activity metric was significantly lower in the accumbens, while the glucose SUVR was significantly lower in the amygdala and hippocampus. The RS-fMRI brain activity metric was positively correlated with cognitive measures and amyloid β1-42 cerebral spinal fluid levels; however, these did not remain significant following Bonferroni correction. There was a significant linear correlation between the brain activity metric and the glucose SUVR measurements. This proof of concept study demonstrates that this novel and easy to implement RS-fMRI brain activity metric can differentiate a group of healthy elderly controls from a group of people with AD.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Alzheimer Disease - cerebrospinal fluid</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Alzheimer Disease - physiopathology</subject><subject>Alzheimer's disease</subject><subject>Amygdala</subject><subject>Amygdala - metabolism</subject><subject>Amygdala - physiopathology</subject><subject>Amyloid beta-Peptides - cerebrospinal fluid</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biophysics</subject><subject>Brain</subject><subject>Brain mapping</subject><subject>Brain research</subject><subject>Care and treatment</subject><subject>Case-Control Studies</subject><subject>Cerebellum</subject><subject>Cerebellum - metabolism</subject><subject>Cerebellum - physiopathology</subject><subject>Cerebrospinal fluid</subject><subject>Cognitive ability</subject><subject>Correlation analysis</subject><subject>Databases, Factual</subject><subject>Dementia</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18 - administration & dosage</subject><subject>Functional anatomy</subject><subject>Functional magnetic resonance imaging</subject><subject>Geriatrics</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Hippocampus</subject><subject>Hippocampus - metabolism</subject><subject>Hippocampus - physiopathology</subject><subject>Humans</subject><subject>Independent component analysis</subject><subject>Low frequencies</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Nuclear medicine</subject><subject>Nucleus accumbens</subject><subject>Nucleus Accumbens - metabolism</subject><subject>Nucleus Accumbens - physiopathology</subject><subject>Older people</subject><subject>People and Places</subject><subject>Peptide Fragments - cerebrospinal fluid</subject><subject>Physiology</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Radiopharmaceuticals - administration & dosage</subject><subject>Research and Analysis Methods</subject><subject>Studies</subject><subject>Template matching</subject><subject>Tomography</subject><subject>β-Amyloid</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk02P0zAQhiMEYpeFf4DAEhKCQ4s_4_iCVJavSkWVdoGr5ThO65LExXYWll-P22ZXDdoD8sHW-Jl3POOZLHuK4BQRjt5sXO871Uy3rjNTiHjBsLiXnSJB8CTHkNw_Op9kj0LYQMhIkecPsxNcsAJTBk-zH5fJP6rOuD6Axv0CtTc_e9Ppa_BuuXgPgl2lIOBKeauidV1IgGuBNyHabjUJUUUD6i8Xc6C8AZXR3qhgKmA7MGv-rI1tjQeVDTvr4-xBrZpgngz7Wfbt44ev558ni-Wn-flsMdG5wHHCKTcccVQoVtYoT6kRWsMClhWBUBe1rivMKE9nBjnBKStFlCCFMLwWiDBylj0_6G4bF-RQpyCRgDkWCDGciPmBqJzayK23rfLX0ikr9wbnV1L5aHVjJKk4ZpiVmJQoPUOUucG1hjwXooCcoqT1dojWl62ptOmiV81IdHzT2bVcuSvJKBOE5Eng1SDgXSp9iLK1QZumOfzK_t0050UBE_riH_Tu7AZqpVICtqtdiqt3onJGBaU8NQFN1PQOKq3KtFanpqptso8cXo8cEhPN77hSfQhyfnnx_-zy-5h9ecSujWriOrim37fbGKQHUHsXgjf1bZERlLuZuKmG3M2EHGYiuT07_qBbp5shIH8BOVMFCw</recordid><startdate>20170605</startdate><enddate>20170605</enddate><creator>Kazemifar, Samaneh</creator><creator>Manning, Kathryn Y</creator><creator>Rajakumar, Nagalingam</creator><creator>Gómez, Francisco A</creator><creator>Soddu, Andrea</creator><creator>Borrie, Michael J</creator><creator>Menon, Ravi S</creator><creator>Bartha, Robert</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170605</creationdate><title>Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease</title><author>Kazemifar, Samaneh ; Manning, Kathryn Y ; Rajakumar, Nagalingam ; Gómez, Francisco A ; Soddu, Andrea ; Borrie, Michael J ; Menon, Ravi S ; Bartha, Robert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-747e71718a5bf1601734f080bd300c8fcfd254700c50732005a3a9389e7f91353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Alzheimer Disease - cerebrospinal fluid</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer Disease - physiopathology</topic><topic>Alzheimer's disease</topic><topic>Amygdala</topic><topic>Amygdala - metabolism</topic><topic>Amygdala - physiopathology</topic><topic>Amyloid beta-Peptides - cerebrospinal fluid</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biophysics</topic><topic>Brain</topic><topic>Brain mapping</topic><topic>Brain research</topic><topic>Care and treatment</topic><topic>Case-Control Studies</topic><topic>Cerebellum</topic><topic>Cerebellum - metabolism</topic><topic>Cerebellum - physiopathology</topic><topic>Cerebrospinal fluid</topic><topic>Cognitive ability</topic><topic>Correlation analysis</topic><topic>Databases, Factual</topic><topic>Dementia</topic><topic>Diagnosis</topic><topic>Disease control</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18 - administration & dosage</topic><topic>Functional anatomy</topic><topic>Functional magnetic resonance imaging</topic><topic>Geriatrics</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Hippocampus</topic><topic>Hippocampus - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kazemifar, Samaneh</au><au>Manning, Kathryn Y</au><au>Rajakumar, Nagalingam</au><au>Gómez, Francisco A</au><au>Soddu, Andrea</au><au>Borrie, Michael J</au><au>Menon, Ravi S</au><au>Bartha, Robert</au><au>Chen, Kewei</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><aucorp>for the Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-06-05</date><risdate>2017</risdate><volume>12</volume><issue>6</issue><spage>e0178529</spage><epage>e0178529</epage><pages>e0178529-e0178529</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative. An independent component analysis was applied to the RS-fMRI, followed by template matching to identify neuronal components (NC). A regional brain activity measurement was constructed based on the variation of the RS-fMRI signal of these NC. The standardized glucose uptake values of several brain regions relative to the cerebellum (SUVR) were measured from partial volume corrected FDG-PET images. Comparing the AD and NEC groups, the mean brain activity metric was significantly lower in the accumbens, while the glucose SUVR was significantly lower in the amygdala and hippocampus. The RS-fMRI brain activity metric was positively correlated with cognitive measures and amyloid β1-42 cerebral spinal fluid levels; however, these did not remain significant following Bonferroni correction. There was a significant linear correlation between the brain activity metric and the glucose SUVR measurements. This proof of concept study demonstrates that this novel and easy to implement RS-fMRI brain activity metric can differentiate a group of healthy elderly controls from a group of people with AD.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28582450</pmid><doi>10.1371/journal.pone.0178529</doi><tpages>e0178529</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2017-06, Vol.12 (6), p.e0178529-e0178529 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1906291152 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Aged Aged, 80 and over Aging Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - diagnosis Alzheimer Disease - physiopathology Alzheimer's disease Amygdala Amygdala - metabolism Amygdala - physiopathology Amyloid beta-Peptides - cerebrospinal fluid Analysis Biology and Life Sciences Biophysics Brain Brain mapping Brain research Care and treatment Case-Control Studies Cerebellum Cerebellum - metabolism Cerebellum - physiopathology Cerebrospinal fluid Cognitive ability Correlation analysis Databases, Factual Dementia Diagnosis Disease control Female Fluorodeoxyglucose F18 - administration & dosage Functional anatomy Functional magnetic resonance imaging Geriatrics Glucose Glucose metabolism Hippocampus Hippocampus - metabolism Hippocampus - physiopathology Humans Independent component analysis Low frequencies Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine and Health Sciences Metabolism Neurodegenerative diseases Neuroimaging Neurology Neurosciences NMR Nuclear magnetic resonance Nuclear medicine Nucleus accumbens Nucleus Accumbens - metabolism Nucleus Accumbens - physiopathology Older people People and Places Peptide Fragments - cerebrospinal fluid Physiology Positron emission Positron emission tomography Radiopharmaceuticals - administration & dosage Research and Analysis Methods Studies Template matching Tomography β-Amyloid |
| title | Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T06%3A15%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spontaneous%20low%20frequency%20BOLD%20signal%20variations%20from%20resting-state%20fMRI%20are%20decreased%20in%20Alzheimer%20disease&rft.jtitle=PloS%20one&rft.au=Kazemifar,%20Samaneh&rft.aucorp=Alzheimer%E2%80%99s%20Disease%20Neuroimaging%20Initiative&rft.date=2017-06-05&rft.volume=12&rft.issue=6&rft.spage=e0178529&rft.epage=e0178529&rft.pages=e0178529-e0178529&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0178529&rft_dat=%3Cgale_plos_%3EA494478664%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1906291152&rft_id=info:pmid/28582450&rft_galeid=A494478664&rft_doaj_id=oai_doaj_org_article_3d72525b23b14f09b6e2fc0769980741&rfr_iscdi=true |