Detecting age‐dependent deterioration of spatial working memory with a virtual water maze paradigm in human subjects

Background Virtual‐Morris Water Maze (V‐MWM) has been developed to assess potential hippocampal‐dependent memory decline. Previous attempts showed the V‐MWM was sensitive in detecting age‐related reference memory decline, but our pilot study indicated that elderly often could not complete the tasks...

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Veröffentlicht in:Alzheimer's & dementia 2023-06, Vol.19 (S4), p.n/a
Hauptverfasser: Wang, Eileen Han‐Jie, Lai, Frank Ho‐yin, Shiu, Alice Tsz‐Yan, Wong, Hui Yan, Leung, Sharifa Wing‐Man, Chan, Daniel Ting Hoi, Yee, Benjamin K
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container_issue S4
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container_title Alzheimer's & dementia
container_volume 19
creator Wang, Eileen Han‐Jie
Lai, Frank Ho‐yin
Shiu, Alice Tsz‐Yan
Wong, Hui Yan
Leung, Sharifa Wing‐Man
Chan, Daniel Ting Hoi
Yee, Benjamin K
description Background Virtual‐Morris Water Maze (V‐MWM) has been developed to assess potential hippocampal‐dependent memory decline. Previous attempts showed the V‐MWM was sensitive in detecting age‐related reference memory decline, but our pilot study indicated that elderly often could not complete the tasks within 60s. Therefore, we have investigated further the use of a spatial working memory paradigm to evaluate one‐trial learning task allowing for up to 120s per trial. Methods Three age groups were recruited from the community with a cross‐sectional design. The Young Adult (YA,n = 22), Young Elderly (YE,n = 30) and older elderly (OE,n = 19) groups defined according to the subjects’ age in years: 18‐45, 60‐69, and 70 or above, respectively. The V‐MWM was programmed using MazeWaker. Subjects navigated in a 3D circular arena, defined by uniform walls and presented on a 14‐inch screen using an arrow key. Eight distal 3D‐cues located outside the arena. A total of 8 possible locations assigned randomly to every two consecutive trials. The two trials were separated by 5s or interspersed by a comic strip for 15s. The target become visible after 120s. Working memory was indexed by more efficient navigation from trial‐1 to trial‐2 in terms of latency or path‐length, indexed by the ratio: T2/(T1+T2) and subjected to a 3×2×3 (AgexInterference typesxLocations) ANOVAs. Two 60s‐nonrevealing probe tests were conducted on trials 8th and 16th. Percent path‐length near the 8 possible target‐zones using separate 2×2×8 (Age groupsxInterference typesxTarget‐zones) ANOVAs. Results The YA group outperformed both the YE and OE groups (F(2,68) = 8.17, p = .001), but no significant group by interference interaction was revealed. However, the 15s‐interference tended to increase the latency in both YA and YE groups (F(1,68) = 9.05, p
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Previous attempts showed the V‐MWM was sensitive in detecting age‐related reference memory decline, but our pilot study indicated that elderly often could not complete the tasks within 60s. Therefore, we have investigated further the use of a spatial working memory paradigm to evaluate one‐trial learning task allowing for up to 120s per trial. Methods Three age groups were recruited from the community with a cross‐sectional design. The Young Adult (YA,n = 22), Young Elderly (YE,n = 30) and older elderly (OE,n = 19) groups defined according to the subjects’ age in years: 18‐45, 60‐69, and 70 or above, respectively. The V‐MWM was programmed using MazeWaker. Subjects navigated in a 3D circular arena, defined by uniform walls and presented on a 14‐inch screen using an arrow key. Eight distal 3D‐cues located outside the arena. A total of 8 possible locations assigned randomly to every two consecutive trials. The two trials were separated by 5s or interspersed by a comic strip for 15s. The target become visible after 120s. Working memory was indexed by more efficient navigation from trial‐1 to trial‐2 in terms of latency or path‐length, indexed by the ratio: T2/(T1+T2) and subjected to a 3×2×3 (AgexInterference typesxLocations) ANOVAs. Two 60s‐nonrevealing probe tests were conducted on trials 8th and 16th. Percent path‐length near the 8 possible target‐zones using separate 2×2×8 (Age groupsxInterference typesxTarget‐zones) ANOVAs. Results The YA group outperformed both the YE and OE groups (F(2,68) = 8.17, p = .001), but no significant group by interference interaction was revealed. However, the 15s‐interference tended to increase the latency in both YA and YE groups (F(1,68) = 9.05, p&lt;.005). An overall preference for the target zone was identified in both percent time and path‐length (F(7,62) = 6.03 and 8.71, respectively, p&lt;.001), together with a significant Age x Zones interaction (F(14,126) = 8.71, p&lt;.001) indicative of reduce target zone preference in the OE relative to YA, with YE performing at an intermediate level. Conclusions ur V‐MWM working test was sensitive to detect age‐related visual‐spatial working memory deterioration, but our interference procedures were insufficient to reduce working memory performance in all groups. Alternative interference may be considered in the future.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1002/alz.059921</identifier><language>eng</language><ispartof>Alzheimer's &amp; dementia, 2023-06, Vol.19 (S4), p.n/a</ispartof><rights>2023 the Alzheimer's Association.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Falz.059921$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Falz.059921$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Wang, Eileen Han‐Jie</creatorcontrib><creatorcontrib>Lai, Frank Ho‐yin</creatorcontrib><creatorcontrib>Shiu, Alice Tsz‐Yan</creatorcontrib><creatorcontrib>Wong, Hui Yan</creatorcontrib><creatorcontrib>Leung, Sharifa Wing‐Man</creatorcontrib><creatorcontrib>Chan, Daniel Ting Hoi</creatorcontrib><creatorcontrib>Yee, Benjamin K</creatorcontrib><title>Detecting age‐dependent deterioration of spatial working memory with a virtual water maze paradigm in human subjects</title><title>Alzheimer's &amp; dementia</title><description>Background Virtual‐Morris Water Maze (V‐MWM) has been developed to assess potential hippocampal‐dependent memory decline. Previous attempts showed the V‐MWM was sensitive in detecting age‐related reference memory decline, but our pilot study indicated that elderly often could not complete the tasks within 60s. Therefore, we have investigated further the use of a spatial working memory paradigm to evaluate one‐trial learning task allowing for up to 120s per trial. Methods Three age groups were recruited from the community with a cross‐sectional design. The Young Adult (YA,n = 22), Young Elderly (YE,n = 30) and older elderly (OE,n = 19) groups defined according to the subjects’ age in years: 18‐45, 60‐69, and 70 or above, respectively. The V‐MWM was programmed using MazeWaker. Subjects navigated in a 3D circular arena, defined by uniform walls and presented on a 14‐inch screen using an arrow key. Eight distal 3D‐cues located outside the arena. A total of 8 possible locations assigned randomly to every two consecutive trials. The two trials were separated by 5s or interspersed by a comic strip for 15s. The target become visible after 120s. Working memory was indexed by more efficient navigation from trial‐1 to trial‐2 in terms of latency or path‐length, indexed by the ratio: T2/(T1+T2) and subjected to a 3×2×3 (AgexInterference typesxLocations) ANOVAs. Two 60s‐nonrevealing probe tests were conducted on trials 8th and 16th. Percent path‐length near the 8 possible target‐zones using separate 2×2×8 (Age groupsxInterference typesxTarget‐zones) ANOVAs. Results The YA group outperformed both the YE and OE groups (F(2,68) = 8.17, p = .001), but no significant group by interference interaction was revealed. However, the 15s‐interference tended to increase the latency in both YA and YE groups (F(1,68) = 9.05, p&lt;.005). An overall preference for the target zone was identified in both percent time and path‐length (F(7,62) = 6.03 and 8.71, respectively, p&lt;.001), together with a significant Age x Zones interaction (F(14,126) = 8.71, p&lt;.001) indicative of reduce target zone preference in the OE relative to YA, with YE performing at an intermediate level. Conclusions ur V‐MWM working test was sensitive to detect age‐related visual‐spatial working memory deterioration, but our interference procedures were insufficient to reduce working memory performance in all groups. Alternative interference may be considered in the future.</description><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KAzEUhYMoWKsbnyBrYWqSSWbSZalahYIb3bgZ7kxu2tT5I5m2tCsfwWf0SZzS4tLVPXC-cy4cQm45G3HGxD2U-xFT47HgZ2TAlRKREun4_E8n7JJchbBiTDLN1YBsHrDDonP1gsICf76-DbZYG6w7anrHu8ZD55qaNpaGtpdQ0m3jPw-BCqvG7-jWdUsKdON8tz640MdoBXukLXgwblFRV9PluoKahnW-6t-Fa3JhoQx4c7pD8v70-DZ9juavs5fpZB4VnMc8MoUBqbWIQWiZS6u5TkApqXNtJQLLtZFFIrRJU6NkEUsDPC2skonFHA3GQ3J37C18E4JHm7XeVeB3GWfZYbGsXyw7LtbD_AhvXYm7f8hsMv84ZX4B7yxyOg</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Wang, Eileen Han‐Jie</creator><creator>Lai, Frank Ho‐yin</creator><creator>Shiu, Alice Tsz‐Yan</creator><creator>Wong, Hui Yan</creator><creator>Leung, Sharifa Wing‐Man</creator><creator>Chan, Daniel Ting Hoi</creator><creator>Yee, Benjamin K</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202306</creationdate><title>Detecting age‐dependent deterioration of spatial working memory with a virtual water maze paradigm in human subjects</title><author>Wang, Eileen Han‐Jie ; Lai, Frank Ho‐yin ; Shiu, Alice Tsz‐Yan ; Wong, Hui Yan ; Leung, Sharifa Wing‐Man ; Chan, Daniel Ting Hoi ; Yee, Benjamin K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1131-dcda48823a284b4f8186a5548b8f4ea0b8d4c628d77d54c34da17cf546febede3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Eileen Han‐Jie</creatorcontrib><creatorcontrib>Lai, Frank Ho‐yin</creatorcontrib><creatorcontrib>Shiu, Alice Tsz‐Yan</creatorcontrib><creatorcontrib>Wong, Hui Yan</creatorcontrib><creatorcontrib>Leung, Sharifa Wing‐Man</creatorcontrib><creatorcontrib>Chan, Daniel Ting Hoi</creatorcontrib><creatorcontrib>Yee, Benjamin K</creatorcontrib><collection>CrossRef</collection><jtitle>Alzheimer's &amp; dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Eileen Han‐Jie</au><au>Lai, Frank Ho‐yin</au><au>Shiu, Alice Tsz‐Yan</au><au>Wong, Hui Yan</au><au>Leung, Sharifa Wing‐Man</au><au>Chan, Daniel Ting Hoi</au><au>Yee, Benjamin K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting age‐dependent deterioration of spatial working memory with a virtual water maze paradigm in human subjects</atitle><jtitle>Alzheimer's &amp; dementia</jtitle><date>2023-06</date><risdate>2023</risdate><volume>19</volume><issue>S4</issue><epage>n/a</epage><issn>1552-5260</issn><eissn>1552-5279</eissn><abstract>Background Virtual‐Morris Water Maze (V‐MWM) has been developed to assess potential hippocampal‐dependent memory decline. Previous attempts showed the V‐MWM was sensitive in detecting age‐related reference memory decline, but our pilot study indicated that elderly often could not complete the tasks within 60s. Therefore, we have investigated further the use of a spatial working memory paradigm to evaluate one‐trial learning task allowing for up to 120s per trial. Methods Three age groups were recruited from the community with a cross‐sectional design. The Young Adult (YA,n = 22), Young Elderly (YE,n = 30) and older elderly (OE,n = 19) groups defined according to the subjects’ age in years: 18‐45, 60‐69, and 70 or above, respectively. The V‐MWM was programmed using MazeWaker. Subjects navigated in a 3D circular arena, defined by uniform walls and presented on a 14‐inch screen using an arrow key. Eight distal 3D‐cues located outside the arena. A total of 8 possible locations assigned randomly to every two consecutive trials. The two trials were separated by 5s or interspersed by a comic strip for 15s. The target become visible after 120s. Working memory was indexed by more efficient navigation from trial‐1 to trial‐2 in terms of latency or path‐length, indexed by the ratio: T2/(T1+T2) and subjected to a 3×2×3 (AgexInterference typesxLocations) ANOVAs. Two 60s‐nonrevealing probe tests were conducted on trials 8th and 16th. Percent path‐length near the 8 possible target‐zones using separate 2×2×8 (Age groupsxInterference typesxTarget‐zones) ANOVAs. Results The YA group outperformed both the YE and OE groups (F(2,68) = 8.17, p = .001), but no significant group by interference interaction was revealed. However, the 15s‐interference tended to increase the latency in both YA and YE groups (F(1,68) = 9.05, p&lt;.005). An overall preference for the target zone was identified in both percent time and path‐length (F(7,62) = 6.03 and 8.71, respectively, p&lt;.001), together with a significant Age x Zones interaction (F(14,126) = 8.71, p&lt;.001) indicative of reduce target zone preference in the OE relative to YA, with YE performing at an intermediate level. Conclusions ur V‐MWM working test was sensitive to detect age‐related visual‐spatial working memory deterioration, but our interference procedures were insufficient to reduce working memory performance in all groups. Alternative interference may be considered in the future.</abstract><doi>10.1002/alz.059921</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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title Detecting age‐dependent deterioration of spatial working memory with a virtual water maze paradigm in human subjects
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