Clinical Manifestations

Mild Behavioral Impairment (MBI) is a condition characterized by neuropsychiatric symptoms (NPS) in older adults without dementia, serving as a precursor to various forms of dementia. This study explores the association between NPS and functional connectivity (FC) within the default mode network (DM...

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Veröffentlicht in:Alzheimer's & dementia 2024-12, Vol.20 Suppl 3, p.e087996
Hauptverfasser: Rashidi-Ranjbar, Neda, Churchill, Nathan W, Black, Sandra E, Kumar, Sanjeev, Tartaglia, Maria Carmela, Freedman, Morris, Lang, Anthony E, Steeves, Thomas, Swartz, Richard H, Saposnik, Gustavo, McLaughlin, Paula M, Symons, Sean, Strother, Stephen C, Pollock, Bruce G, Rajji, Tarek K, Ozzoude, Miracle, Tan, Brian, Arnott, Stephen R, Bartha, Robert, Borrie, Michael, Masellis, Mario, Pasternak, Stephen H, Frank, Andrew R, Seitz, Dallas, Ismail, Zahinoor, Tang-Wai, David F, Casaubon, Leanne, Mandzia, Jennifer, Scott, Christopher J M, Dowlatshahi, Dar, Grimes, David A, Marras, Connie, Munoz, David G, Ramirez, Joel, Berezuk, Courtney, Holmes, Melissa F, Fischer, Corinne E, Schweizer, Tom A
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container_issue
container_start_page e087996
container_title Alzheimer's & dementia
container_volume 20 Suppl 3
creator Rashidi-Ranjbar, Neda
Churchill, Nathan W
Black, Sandra E
Kumar, Sanjeev
Tartaglia, Maria Carmela
Freedman, Morris
Lang, Anthony E
Steeves, Thomas
Swartz, Richard H
Saposnik, Gustavo
McLaughlin, Paula M
Symons, Sean
Strother, Stephen C
Pollock, Bruce G
Rajji, Tarek K
Ozzoude, Miracle
Tan, Brian
Arnott, Stephen R
Bartha, Robert
Borrie, Michael
Masellis, Mario
Pasternak, Stephen H
Frank, Andrew R
Seitz, Dallas
Ismail, Zahinoor
Tang-Wai, David F
Casaubon, Leanne
Mandzia, Jennifer
Scott, Christopher J M
Dowlatshahi, Dar
Grimes, David A
Marras, Connie
Munoz, David G
Ramirez, Joel
Berezuk, Courtney
Holmes, Melissa F
Fischer, Corinne E
Schweizer, Tom A
description Mild Behavioral Impairment (MBI) is a condition characterized by neuropsychiatric symptoms (NPS) in older adults without dementia, serving as a precursor to various forms of dementia. This study explores the association between NPS and functional connectivity (FC) within the default mode network (DMN), executive control network (ECN), and salience network (SN) across three high-risk cohorts: mild cognitive impairment (due to Alzheimer's) (MCI, n = 79), cerebrovascular disease (CVD, n = 144), and Parkinson's disease (PD, n = 132). A total of 367 participants were recruited from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). The assessment of NPS utilized the Neuropsychiatric Inventory Questionnaire (NPI-Q), with symptom severity rated on a scale from 1 to 3 (mild, moderate, severe). Resting-state FC was analyzed for the DMN, ECN, and SN, using dual regression analysis to generate subject-specific whole-brain FC maps for each network. The association between FC maps and NPS scores was examined using FSL's randomise with 5,000 permutations, while controlling for age, sex, and education. Results are presented following cluster False Discovery Rate (FDR) correction. The study revealed significant associations between NPS and FC specific to each cohort. In the MCI group, disturbed appetite and nighttime behaviors were correlated with increased FC of the dorsal DMN (p
doi_str_mv 10.1002/alz.087996
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This study explores the association between NPS and functional connectivity (FC) within the default mode network (DMN), executive control network (ECN), and salience network (SN) across three high-risk cohorts: mild cognitive impairment (due to Alzheimer's) (MCI, n = 79), cerebrovascular disease (CVD, n = 144), and Parkinson's disease (PD, n = 132). A total of 367 participants were recruited from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). The assessment of NPS utilized the Neuropsychiatric Inventory Questionnaire (NPI-Q), with symptom severity rated on a scale from 1 to 3 (mild, moderate, severe). Resting-state FC was analyzed for the DMN, ECN, and SN, using dual regression analysis to generate subject-specific whole-brain FC maps for each network. The association between FC maps and NPS scores was examined using FSL's randomise with 5,000 permutations, while controlling for age, sex, and education. Results are presented following cluster False Discovery Rate (FDR) correction. The study revealed significant associations between NPS and FC specific to each cohort. In the MCI group, disturbed appetite and nighttime behaviors were correlated with increased FC of the dorsal DMN (p<0.05, R = 0.47, and p = 0.01, R = 0.47). The CVD group exhibited correlations between higher levels of anxiety and decreased FC of the dorsal DMN (p<0.05, R = -0.4), ventral DMN (p<0.05, R = -0.33), and bilateral ECN (p<0.05, R = -0.35 and R = -0.33). The PD group showed disturbed nighttime behavior associated with increased FC in ventral DMN (p<0.05, R = 0.35) and bilateral ECN (p<0.05, R = 0.43 and R = 0.37). This research underscores disorder-specific correlations between specific NPS domains and FC in MCI, CVD, and PD, emphasizing the unique neural underpinnings of symptomatology in each group. Furthermore, it is essential to note the inherent heterogeneity in all groups. Overall, the pathological substrates of neurodegenerative disorders likely play a pivotal role in shaping the neural correlates of MBI within each disorder. These findings provide valuable insights into targeted interventions and avenues for future research in neurodegenerative disorders.]]></description><identifier>ISSN: 1552-5279</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1002/alz.087996</identifier><identifier>PMID: 39750304</identifier><language>eng</language><publisher>United States</publisher><subject>Aged ; Alzheimer Disease ; Brain - diagnostic imaging ; Cerebrovascular Disorders ; Cognitive Dysfunction - physiopathology ; Cohort Studies ; Default Mode Network - diagnostic imaging ; Default Mode Network - physiopathology ; Executive Function - physiology ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neuropsychological Tests - statistics &amp; numerical data ; Ontario ; Parkinson Disease - complications ; Parkinson Disease - physiopathology</subject><ispartof>Alzheimer's &amp; dementia, 2024-12, Vol.20 Suppl 3, p.e087996</ispartof><rights>2024 The Alzheimer's Association. 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This study explores the association between NPS and functional connectivity (FC) within the default mode network (DMN), executive control network (ECN), and salience network (SN) across three high-risk cohorts: mild cognitive impairment (due to Alzheimer's) (MCI, n = 79), cerebrovascular disease (CVD, n = 144), and Parkinson's disease (PD, n = 132). A total of 367 participants were recruited from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). The assessment of NPS utilized the Neuropsychiatric Inventory Questionnaire (NPI-Q), with symptom severity rated on a scale from 1 to 3 (mild, moderate, severe). Resting-state FC was analyzed for the DMN, ECN, and SN, using dual regression analysis to generate subject-specific whole-brain FC maps for each network. The association between FC maps and NPS scores was examined using FSL's randomise with 5,000 permutations, while controlling for age, sex, and education. Results are presented following cluster False Discovery Rate (FDR) correction. The study revealed significant associations between NPS and FC specific to each cohort. In the MCI group, disturbed appetite and nighttime behaviors were correlated with increased FC of the dorsal DMN (p<0.05, R = 0.47, and p = 0.01, R = 0.47). The CVD group exhibited correlations between higher levels of anxiety and decreased FC of the dorsal DMN (p<0.05, R = -0.4), ventral DMN (p<0.05, R = -0.33), and bilateral ECN (p<0.05, R = -0.35 and R = -0.33). The PD group showed disturbed nighttime behavior associated with increased FC in ventral DMN (p<0.05, R = 0.35) and bilateral ECN (p<0.05, R = 0.43 and R = 0.37). This research underscores disorder-specific correlations between specific NPS domains and FC in MCI, CVD, and PD, emphasizing the unique neural underpinnings of symptomatology in each group. Furthermore, it is essential to note the inherent heterogeneity in all groups. Overall, the pathological substrates of neurodegenerative disorders likely play a pivotal role in shaping the neural correlates of MBI within each disorder. These findings provide valuable insights into targeted interventions and avenues for future research in neurodegenerative disorders.]]></description><subject>Aged</subject><subject>Alzheimer Disease</subject><subject>Brain - diagnostic imaging</subject><subject>Cerebrovascular Disorders</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Cohort Studies</subject><subject>Default Mode Network - diagnostic imaging</subject><subject>Default Mode Network - physiopathology</subject><subject>Executive Function - physiology</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neuropsychological Tests - statistics &amp; numerical data</subject><subject>Ontario</subject><subject>Parkinson Disease - complications</subject><subject>Parkinson Disease - physiopathology</subject><issn>1552-5279</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpNjztPwzAUhS0EoqWwsLAhRpaU68e14xFF5SEVsXSPbmJbMnIexM0Av55KFInpnOHTd3QYu-aw5gDigdL3GkpjrT5hS44oChTGnv7rC3aR8weAgpLjOVtIaxAkqCW7qVLsY0vp7o36GHze0z4Ofb5kZ4FS9lfHXLHd02ZXvRTb9-fX6nFbjKhV0aBunObc2DKI4FpSIL03vAUvHEqNCA1QcMqSKUWL3gok0I6CQaWDlCt2_6sdp-FzPqzXXcytT4l6P8y5lhy5AIESD-jtEZ2bzrt6nGJH01f990X-AL3gSJY</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Rashidi-Ranjbar, Neda</creator><creator>Churchill, Nathan W</creator><creator>Black, Sandra E</creator><creator>Kumar, Sanjeev</creator><creator>Tartaglia, Maria Carmela</creator><creator>Freedman, Morris</creator><creator>Lang, Anthony E</creator><creator>Steeves, Thomas</creator><creator>Swartz, Richard H</creator><creator>Saposnik, Gustavo</creator><creator>McLaughlin, Paula M</creator><creator>Symons, Sean</creator><creator>Strother, Stephen C</creator><creator>Pollock, Bruce G</creator><creator>Rajji, Tarek K</creator><creator>Ozzoude, Miracle</creator><creator>Tan, Brian</creator><creator>Arnott, Stephen R</creator><creator>Bartha, Robert</creator><creator>Borrie, Michael</creator><creator>Masellis, Mario</creator><creator>Pasternak, Stephen H</creator><creator>Frank, Andrew R</creator><creator>Seitz, Dallas</creator><creator>Ismail, Zahinoor</creator><creator>Tang-Wai, David F</creator><creator>Casaubon, Leanne</creator><creator>Mandzia, Jennifer</creator><creator>Scott, Christopher J M</creator><creator>Dowlatshahi, Dar</creator><creator>Grimes, David A</creator><creator>Marras, Connie</creator><creator>Munoz, David G</creator><creator>Ramirez, Joel</creator><creator>Berezuk, Courtney</creator><creator>Holmes, Melissa F</creator><creator>Fischer, Corinne E</creator><creator>Schweizer, Tom A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>202412</creationdate><title>Clinical Manifestations</title><author>Rashidi-Ranjbar, Neda ; Churchill, Nathan W ; Black, Sandra E ; Kumar, Sanjeev ; Tartaglia, Maria Carmela ; Freedman, Morris ; Lang, Anthony E ; Steeves, Thomas ; Swartz, Richard H ; Saposnik, Gustavo ; McLaughlin, Paula M ; Symons, Sean ; Strother, Stephen C ; Pollock, Bruce G ; Rajji, Tarek K ; Ozzoude, Miracle ; Tan, Brian ; Arnott, Stephen R ; Bartha, Robert ; Borrie, Michael ; Masellis, Mario ; Pasternak, Stephen H ; Frank, Andrew R ; Seitz, Dallas ; Ismail, Zahinoor ; Tang-Wai, David F ; Casaubon, Leanne ; Mandzia, Jennifer ; Scott, Christopher J M ; Dowlatshahi, Dar ; Grimes, David A ; Marras, Connie ; Munoz, David G ; Ramirez, Joel ; Berezuk, Courtney ; Holmes, Melissa F ; Fischer, Corinne E ; Schweizer, Tom A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p564-b56bd611798f2fdca403ee71c0e2d536550b0afd49a782c5e925a06daf7546f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Alzheimer Disease</topic><topic>Brain - diagnostic imaging</topic><topic>Cerebrovascular Disorders</topic><topic>Cognitive Dysfunction - physiopathology</topic><topic>Cohort Studies</topic><topic>Default Mode Network - diagnostic imaging</topic><topic>Default Mode Network - physiopathology</topic><topic>Executive Function - physiology</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neuropsychological Tests - statistics &amp; 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dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rashidi-Ranjbar, Neda</au><au>Churchill, Nathan W</au><au>Black, Sandra E</au><au>Kumar, Sanjeev</au><au>Tartaglia, Maria Carmela</au><au>Freedman, Morris</au><au>Lang, Anthony E</au><au>Steeves, Thomas</au><au>Swartz, Richard H</au><au>Saposnik, Gustavo</au><au>McLaughlin, Paula M</au><au>Symons, Sean</au><au>Strother, Stephen C</au><au>Pollock, Bruce G</au><au>Rajji, Tarek K</au><au>Ozzoude, Miracle</au><au>Tan, Brian</au><au>Arnott, Stephen R</au><au>Bartha, Robert</au><au>Borrie, Michael</au><au>Masellis, Mario</au><au>Pasternak, Stephen H</au><au>Frank, Andrew R</au><au>Seitz, Dallas</au><au>Ismail, Zahinoor</au><au>Tang-Wai, David F</au><au>Casaubon, Leanne</au><au>Mandzia, Jennifer</au><au>Scott, Christopher J M</au><au>Dowlatshahi, Dar</au><au>Grimes, David A</au><au>Marras, Connie</au><au>Munoz, David G</au><au>Ramirez, Joel</au><au>Berezuk, Courtney</au><au>Holmes, Melissa F</au><au>Fischer, Corinne E</au><au>Schweizer, Tom A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Manifestations</atitle><jtitle>Alzheimer's &amp; dementia</jtitle><addtitle>Alzheimers Dement</addtitle><date>2024-12</date><risdate>2024</risdate><volume>20 Suppl 3</volume><spage>e087996</spage><pages>e087996-</pages><issn>1552-5279</issn><eissn>1552-5279</eissn><abstract><![CDATA[Mild Behavioral Impairment (MBI) is a condition characterized by neuropsychiatric symptoms (NPS) in older adults without dementia, serving as a precursor to various forms of dementia. This study explores the association between NPS and functional connectivity (FC) within the default mode network (DMN), executive control network (ECN), and salience network (SN) across three high-risk cohorts: mild cognitive impairment (due to Alzheimer's) (MCI, n = 79), cerebrovascular disease (CVD, n = 144), and Parkinson's disease (PD, n = 132). A total of 367 participants were recruited from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). The assessment of NPS utilized the Neuropsychiatric Inventory Questionnaire (NPI-Q), with symptom severity rated on a scale from 1 to 3 (mild, moderate, severe). Resting-state FC was analyzed for the DMN, ECN, and SN, using dual regression analysis to generate subject-specific whole-brain FC maps for each network. The association between FC maps and NPS scores was examined using FSL's randomise with 5,000 permutations, while controlling for age, sex, and education. Results are presented following cluster False Discovery Rate (FDR) correction. The study revealed significant associations between NPS and FC specific to each cohort. In the MCI group, disturbed appetite and nighttime behaviors were correlated with increased FC of the dorsal DMN (p<0.05, R = 0.47, and p = 0.01, R = 0.47). The CVD group exhibited correlations between higher levels of anxiety and decreased FC of the dorsal DMN (p<0.05, R = -0.4), ventral DMN (p<0.05, R = -0.33), and bilateral ECN (p<0.05, R = -0.35 and R = -0.33). The PD group showed disturbed nighttime behavior associated with increased FC in ventral DMN (p<0.05, R = 0.35) and bilateral ECN (p<0.05, R = 0.43 and R = 0.37). This research underscores disorder-specific correlations between specific NPS domains and FC in MCI, CVD, and PD, emphasizing the unique neural underpinnings of symptomatology in each group. Furthermore, it is essential to note the inherent heterogeneity in all groups. Overall, the pathological substrates of neurodegenerative disorders likely play a pivotal role in shaping the neural correlates of MBI within each disorder. These findings provide valuable insights into targeted interventions and avenues for future research in neurodegenerative disorders.]]></abstract><cop>United States</cop><pmid>39750304</pmid><doi>10.1002/alz.087996</doi></addata></record>
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source MEDLINE; Wiley Online Library Open Access; Wiley Online Library Journals Frontfile Complete; PubMed Central; PubMed Central Open Access
subjects Aged
Alzheimer Disease
Brain - diagnostic imaging
Cerebrovascular Disorders
Cognitive Dysfunction - physiopathology
Cohort Studies
Default Mode Network - diagnostic imaging
Default Mode Network - physiopathology
Executive Function - physiology
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Neuropsychological Tests - statistics & numerical data
Ontario
Parkinson Disease - complications
Parkinson Disease - physiopathology
title Clinical Manifestations
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