Loading…
A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology
The present work aims at providing a methodological approach for the investigation of resilience factors and mechanisms in normal aging, Alzheimer’s disease (AD) and other neurodegenerative disorders. By expanding and re-conceptualizing traditional regression approaches, we propose an approach that...
Saved in:
Published in: | Brain imaging and behavior 2019-02, Vol.13 (1), p.162-171 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543 |
---|---|
cites | cdi_FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543 |
container_end_page | 171 |
container_issue | 1 |
container_start_page | 162 |
container_title | Brain imaging and behavior |
container_volume | 13 |
creator | Wolf, Dominik Fischer, Florian Udo Fellgiebel, Andreas |
description | The present work aims at providing a methodological approach for the investigation of resilience factors and mechanisms in normal aging, Alzheimer’s disease (AD) and other neurodegenerative disorders. By expanding and re-conceptualizing traditional regression approaches, we propose an approach that not only aims at identifying potential resilience factors but also allows for a differentiation between general and dynamic resilience factors in terms of their association with pathology. Dynamic resilience factors are characterized by an increasing relevance with increasing levels of pathology, while the relevance of general resilience factors is independent of the amount of pathology. Utility of the approach is demonstrated in age and AD-related brain pathology by investigating widely accepted resilience factors, including education and brain volume. Moreover, the approach is used to test hippocampal volume as potential resilience factor. Education and brain volume could be identified as general resilience factors against age and AD-related pathology. Beyond that, analyses highlighted that hippocampal volume may not only be disease target but also serve as a potential resilience factor in age and AD-related pathology, particularly at higher levels of tau-pathology (i.e. dynamic resilience factor). Given its unspecific and superordinate nature the approach is suitable for the investigation of a wide range of potential resilience factors in normal aging, AD and other neurodegenerative disorders. Consequently, it may find a wide application and thereby promote the comparability between studies. |
doi_str_mv | 10.1007/s11682-018-9870-8 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2033381157</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2032638519</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543</originalsourceid><addsrcrecordid>eNp1kU1uFDEQhS0EImHgAGyQJTZsGvwz3bbZjSL-pEjZJGur2l0946jbHmz3YrLiBOy5HifBowlBQsrKJfmrV6_qEfKas_ecMfUhc95p0TCuG6MVa_QTcs6N5I1qu_bpQ92qM_Ii51vG2rU2_Dk5E0ZxaYw-Jz83dMayi0Oc4tY7mCjs9ymC29ESaS7LcPBhSxNmP3kMDivudhB8nvNHOuAcQy4Jio-BxpEupWLlQH2gsEUKYaCb6W6Hfsb0-8evTAefETI2CScoONA-QWX3UC1UA4eX5NkIU8ZX9--K3Hz-dH3xtbm8-vLtYnPZOKlEqTv1GgwXzIBmMPZK9kYNphWD60fu2GhAOAXY816OupNmzddibBmKvhtdu5Yr8u6kW3f9vmAudvbZ4TRBwLhkK5iUUnPeqoq-_Q-9jUsK1d2REp3Ubb3zivAT5VLMOeFo98nPkA6WM3sMy57CsjUsewzL6trz5l556WccHjr-plMBcQJy_QpbTP9GP676B8K5o0M</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2032638519</pqid></control><display><type>article</type><title>A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology</title><source>Springer Link</source><creator>Wolf, Dominik ; Fischer, Florian Udo ; Fellgiebel, Andreas</creator><creatorcontrib>Wolf, Dominik ; Fischer, Florian Udo ; Fellgiebel, Andreas ; Alzheimer’s Disease Neuroimaging Initiative ; for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><description>The present work aims at providing a methodological approach for the investigation of resilience factors and mechanisms in normal aging, Alzheimer’s disease (AD) and other neurodegenerative disorders. By expanding and re-conceptualizing traditional regression approaches, we propose an approach that not only aims at identifying potential resilience factors but also allows for a differentiation between general and dynamic resilience factors in terms of their association with pathology. Dynamic resilience factors are characterized by an increasing relevance with increasing levels of pathology, while the relevance of general resilience factors is independent of the amount of pathology. Utility of the approach is demonstrated in age and AD-related brain pathology by investigating widely accepted resilience factors, including education and brain volume. Moreover, the approach is used to test hippocampal volume as potential resilience factor. Education and brain volume could be identified as general resilience factors against age and AD-related pathology. Beyond that, analyses highlighted that hippocampal volume may not only be disease target but also serve as a potential resilience factor in age and AD-related pathology, particularly at higher levels of tau-pathology (i.e. dynamic resilience factor). Given its unspecific and superordinate nature the approach is suitable for the investigation of a wide range of potential resilience factors in normal aging, AD and other neurodegenerative disorders. Consequently, it may find a wide application and thereby promote the comparability between studies.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-018-9870-8</identifier><identifier>PMID: 29713998</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Age ; Aging ; Alzheimer's disease ; Biomedical and Life Sciences ; Biomedicine ; Brain ; Disorders ; Education ; Hippocampus ; Neurodegenerative diseases ; Neuropsychology ; Neuroradiology ; Neurosciences ; Original Research ; Pathology ; Psychiatry ; Regression analysis ; Resilience ; Tau protein</subject><ispartof>Brain imaging and behavior, 2019-02, Vol.13 (1), p.162-171</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Brain Imaging and Behavior is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543</citedby><cites>FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29713998$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wolf, Dominik</creatorcontrib><creatorcontrib>Fischer, Florian Udo</creatorcontrib><creatorcontrib>Fellgiebel, Andreas</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>The present work aims at providing a methodological approach for the investigation of resilience factors and mechanisms in normal aging, Alzheimer’s disease (AD) and other neurodegenerative disorders. By expanding and re-conceptualizing traditional regression approaches, we propose an approach that not only aims at identifying potential resilience factors but also allows for a differentiation between general and dynamic resilience factors in terms of their association with pathology. Dynamic resilience factors are characterized by an increasing relevance with increasing levels of pathology, while the relevance of general resilience factors is independent of the amount of pathology. Utility of the approach is demonstrated in age and AD-related brain pathology by investigating widely accepted resilience factors, including education and brain volume. Moreover, the approach is used to test hippocampal volume as potential resilience factor. Education and brain volume could be identified as general resilience factors against age and AD-related pathology. Beyond that, analyses highlighted that hippocampal volume may not only be disease target but also serve as a potential resilience factor in age and AD-related pathology, particularly at higher levels of tau-pathology (i.e. dynamic resilience factor). Given its unspecific and superordinate nature the approach is suitable for the investigation of a wide range of potential resilience factors in normal aging, AD and other neurodegenerative disorders. Consequently, it may find a wide application and thereby promote the comparability between studies.</description><subject>Age</subject><subject>Aging</subject><subject>Alzheimer's disease</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain</subject><subject>Disorders</subject><subject>Education</subject><subject>Hippocampus</subject><subject>Neurodegenerative diseases</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Research</subject><subject>Pathology</subject><subject>Psychiatry</subject><subject>Regression analysis</subject><subject>Resilience</subject><subject>Tau protein</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kU1uFDEQhS0EImHgAGyQJTZsGvwz3bbZjSL-pEjZJGur2l0946jbHmz3YrLiBOy5HifBowlBQsrKJfmrV6_qEfKas_ecMfUhc95p0TCuG6MVa_QTcs6N5I1qu_bpQ92qM_Ii51vG2rU2_Dk5E0ZxaYw-Jz83dMayi0Oc4tY7mCjs9ymC29ESaS7LcPBhSxNmP3kMDivudhB8nvNHOuAcQy4Jio-BxpEupWLlQH2gsEUKYaCb6W6Hfsb0-8evTAefETI2CScoONA-QWX3UC1UA4eX5NkIU8ZX9--K3Hz-dH3xtbm8-vLtYnPZOKlEqTv1GgwXzIBmMPZK9kYNphWD60fu2GhAOAXY816OupNmzddibBmKvhtdu5Yr8u6kW3f9vmAudvbZ4TRBwLhkK5iUUnPeqoq-_Q-9jUsK1d2REp3Ubb3zivAT5VLMOeFo98nPkA6WM3sMy57CsjUsewzL6trz5l556WccHjr-plMBcQJy_QpbTP9GP676B8K5o0M</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Wolf, Dominik</creator><creator>Fischer, Florian Udo</creator><creator>Fellgiebel, Andreas</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20190201</creationdate><title>A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology</title><author>Wolf, Dominik ; Fischer, Florian Udo ; Fellgiebel, Andreas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age</topic><topic>Aging</topic><topic>Alzheimer's disease</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain</topic><topic>Disorders</topic><topic>Education</topic><topic>Hippocampus</topic><topic>Neurodegenerative diseases</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Research</topic><topic>Pathology</topic><topic>Psychiatry</topic><topic>Regression analysis</topic><topic>Resilience</topic><topic>Tau protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wolf, Dominik</creatorcontrib><creatorcontrib>Fischer, Florian Udo</creatorcontrib><creatorcontrib>Fellgiebel, Andreas</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Psychology Journals</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wolf, Dominik</au><au>Fischer, Florian Udo</au><au>Fellgiebel, Andreas</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>A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>13</volume><issue>1</issue><spage>162</spage><epage>171</epage><pages>162-171</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><abstract>The present work aims at providing a methodological approach for the investigation of resilience factors and mechanisms in normal aging, Alzheimer’s disease (AD) and other neurodegenerative disorders. By expanding and re-conceptualizing traditional regression approaches, we propose an approach that not only aims at identifying potential resilience factors but also allows for a differentiation between general and dynamic resilience factors in terms of their association with pathology. Dynamic resilience factors are characterized by an increasing relevance with increasing levels of pathology, while the relevance of general resilience factors is independent of the amount of pathology. Utility of the approach is demonstrated in age and AD-related brain pathology by investigating widely accepted resilience factors, including education and brain volume. Moreover, the approach is used to test hippocampal volume as potential resilience factor. Education and brain volume could be identified as general resilience factors against age and AD-related pathology. Beyond that, analyses highlighted that hippocampal volume may not only be disease target but also serve as a potential resilience factor in age and AD-related pathology, particularly at higher levels of tau-pathology (i.e. dynamic resilience factor). Given its unspecific and superordinate nature the approach is suitable for the investigation of a wide range of potential resilience factors in normal aging, AD and other neurodegenerative disorders. Consequently, it may find a wide application and thereby promote the comparability between studies.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>29713998</pmid><doi>10.1007/s11682-018-9870-8</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1931-7557 |
ispartof | Brain imaging and behavior, 2019-02, Vol.13 (1), p.162-171 |
issn | 1931-7557 1931-7565 |
language | eng |
recordid | cdi_proquest_miscellaneous_2033381157 |
source | Springer Link |
subjects | Age Aging Alzheimer's disease Biomedical and Life Sciences Biomedicine Brain Disorders Education Hippocampus Neurodegenerative diseases Neuropsychology Neuroradiology Neurosciences Original Research Pathology Psychiatry Regression analysis Resilience Tau protein |
title | A methodological approach to studying resilience mechanisms: demonstration of utility in age and Alzheimer’s disease-related brain pathology |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T04%3A09%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20methodological%20approach%20to%20studying%20resilience%20mechanisms:%20demonstration%20of%20utility%20in%20age%20and%20Alzheimer%E2%80%99s%20disease-related%20brain%20pathology&rft.jtitle=Brain%20imaging%20and%20behavior&rft.au=Wolf,%20Dominik&rft.aucorp=Alzheimer%E2%80%99s%20Disease%20Neuroimaging%20Initiative&rft.date=2019-02-01&rft.volume=13&rft.issue=1&rft.spage=162&rft.epage=171&rft.pages=162-171&rft.issn=1931-7557&rft.eissn=1931-7565&rft_id=info:doi/10.1007/s11682-018-9870-8&rft_dat=%3Cproquest_cross%3E2032638519%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c372t-75b8a91209a80afb73b97d952dcbf1c0f9a2c7aeb1b3f86394142f50e2b6fc543%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2032638519&rft_id=info:pmid/29713998&rfr_iscdi=true |