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Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS
This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS...
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description | This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS) was used to measure neuronal activities. A new software algorithm was developed to process fNIRS signals and to derive the parameters of functional connectivity. The synchronization of oxygenated hemoglobin signals from paired channels was evaluated using their temporal correlation. Results from 61 subjects of experiment show that a general decline in functional connectivity from NA (edge count = 307) to AD (edge count = 170), and the laterality between left and right PFC became insignificant (p>0.01) at AD stage. Moreover, the NA group demonstrated a significantly higher clustering coefficient than the AD group (p |
doi_str_mv | 10.1109/EMBC.2018.8512186 |
format | conference_proceeding |
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Functional Near Infrared Spectroscopy (fNIRS) was used to measure neuronal activities. A new software algorithm was developed to process fNIRS signals and to derive the parameters of functional connectivity. The synchronization of oxygenated hemoglobin signals from paired channels was evaluated using their temporal correlation. Results from 61 subjects of experiment show that a general decline in functional connectivity from NA (edge count = 307) to AD (edge count = 170), and the laterality between left and right PFC became insignificant (p>0.01) at AD stage. Moreover, the NA group demonstrated a significantly higher clustering coefficient than the AD group (p<;0.01), indicating the NA has higher regularity in brain network. Using semantic verbal fluency task, this work demonstrated fNIRS as a feasible measuring instrument to differentiate AD from NA based on functional connectivity, with clustering coefficient and laterality as suitable biomarkers.</description><identifier>EISSN: 1558-4615</identifier><identifier>EISSN: 2694-0604</identifier><identifier>EISBN: 9781538636466</identifier><identifier>EISBN: 1538636468</identifier><identifier>DOI: 10.1109/EMBC.2018.8512186</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aging ; Correlation ; Dementia ; Microsoft Windows ; Senior citizens ; Task analysis</subject><ispartof>2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.17-20</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c279t-916b336b29c758dec4b17a357bc307a001354c0a61ed026af0e993f03abfef033</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Tang, Tong Boon</creatorcontrib><creatorcontrib>Chan, Yee Ling</creatorcontrib><title>Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS</title><title>2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)</title><addtitle>EMBC</addtitle><description>This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS) was used to measure neuronal activities. A new software algorithm was developed to process fNIRS signals and to derive the parameters of functional connectivity. The synchronization of oxygenated hemoglobin signals from paired channels was evaluated using their temporal correlation. Results from 61 subjects of experiment show that a general decline in functional connectivity from NA (edge count = 307) to AD (edge count = 170), and the laterality between left and right PFC became insignificant (p>0.01) at AD stage. Moreover, the NA group demonstrated a significantly higher clustering coefficient than the AD group (p<;0.01), indicating the NA has higher regularity in brain network. Using semantic verbal fluency task, this work demonstrated fNIRS as a feasible measuring instrument to differentiate AD from NA based on functional connectivity, with clustering coefficient and laterality as suitable biomarkers.</description><subject>Aging</subject><subject>Correlation</subject><subject>Dementia</subject><subject>Microsoft Windows</subject><subject>Senior citizens</subject><subject>Task analysis</subject><issn>1558-4615</issn><issn>2694-0604</issn><isbn>9781538636466</isbn><isbn>1538636468</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkE9Pg0AQxVcTE2vtBzBe9qYHqTMsu8CxYqtN2pr450wWGOoaWCoLJvXTi2kv8_Jm3vsdhrErhCkixPfz9UMy9QGjaSTRx0idsEkcRihFpIQKlDplI5Qy8gKF8pxdOPcF4ANIHLFu0du8M43VFU8aa2kwP6bb89mw2TvjeGP52lQFn1W_n2Rqam8cfzSOtKO7wyVpttYMNeLLeqdNW5PtuLYF3zRtPXBnW2O3vHf_s9wsX98u2VmpK0eTo47Zx2L-njx7q5enZTJbebkfxp0Xo8qEUJkf56GMCsqDDEMtZJjlAkINgEIGOWiFVICvdAkUx6IEobOSBhFjdnvg7trmuyfXpbVxOVWVttT0LvUHAAoABUP0-hA1RJTuWlPrdp8e_yn-AIzGaUs</recordid><startdate>201807</startdate><enddate>201807</enddate><creator>Tang, Tong Boon</creator><creator>Chan, Yee Ling</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7X8</scope></search><sort><creationdate>201807</creationdate><title>Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS</title><author>Tang, Tong Boon ; Chan, Yee Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c279t-916b336b29c758dec4b17a357bc307a001354c0a61ed026af0e993f03abfef033</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aging</topic><topic>Correlation</topic><topic>Dementia</topic><topic>Microsoft Windows</topic><topic>Senior citizens</topic><topic>Task analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Tang, Tong Boon</creatorcontrib><creatorcontrib>Chan, Yee Ling</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>MEDLINE - Academic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Tong Boon</au><au>Chan, Yee Ling</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS</atitle><btitle>2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)</btitle><stitle>EMBC</stitle><date>2018-07</date><risdate>2018</risdate><volume>2018</volume><spage>17</spage><epage>20</epage><pages>17-20</pages><eissn>1558-4615</eissn><eissn>2694-0604</eissn><eisbn>9781538636466</eisbn><eisbn>1538636468</eisbn><abstract>This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS) was used to measure neuronal activities. A new software algorithm was developed to process fNIRS signals and to derive the parameters of functional connectivity. The synchronization of oxygenated hemoglobin signals from paired channels was evaluated using their temporal correlation. Results from 61 subjects of experiment show that a general decline in functional connectivity from NA (edge count = 307) to AD (edge count = 170), and the laterality between left and right PFC became insignificant (p>0.01) at AD stage. Moreover, the NA group demonstrated a significantly higher clustering coefficient than the AD group (p<;0.01), indicating the NA has higher regularity in brain network. Using semantic verbal fluency task, this work demonstrated fNIRS as a feasible measuring instrument to differentiate AD from NA based on functional connectivity, with clustering coefficient and laterality as suitable biomarkers.</abstract><pub>IEEE</pub><doi>10.1109/EMBC.2018.8512186</doi><tpages>4</tpages></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | Aging Correlation Dementia Microsoft Windows Senior citizens Task analysis |
title | Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS |
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