{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/39306"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/39306","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"Combined Aerobic and Cognitive Training Effects on Complex Brain Networks in Older Adults","abstract":"Network science has become a powerful tool with which we can model the human brain as a complex network. Since the start of application of network science to the brain, many advances have been made. Due to this development of new metrics and network formation algorithms, the current study aimed to re-examine brain networks of a subset from the Seniors Health and Activity Research Program Pilot (Burdette et al., 2010). In addition, the present study sought to relate network metrics to participants' performance on cognitive and memory tasks. With past research implicating the anterior cingulate cortex and the hippocampus in changes associated with training programs in older adults, these were used as focal regions of interest. Of the original 73 participants, a subset of 29 participants were scanned using fMRI and had these images transformed into complex networks based on time-series correlations. Metric comparisons showed non-significant trends towards high-degree orientation in the training groups and especially those involving physical activity. Regression of performance outcomes revealed a consistent negative association between the local efficiency of the anterior cingulate cortex and of the network and task outcomes. Implications for underlying group differences and consideration of network metrics for the brain are discussed.","abstract_html":"Network science has become a powerful tool with which we can model the human brain as a complex network. Since the start of application of network science to the brain, many advances have been made. Due to this development of new metrics and network formation algorithms, the current study aimed to re-examine brain networks of a subset from the Seniors Health and Activity Research Program Pilot (Burdette et al., 2010). In addition, the present study sought to relate network metrics to participants' performance on cognitive and memory tasks. With past research implicating the anterior cingulate cortex and the hippocampus in changes associated with training programs in older adults, these were used as focal regions of interest. Of the original 73 participants, a subset of 29 participants were scanned using fMRI and had these images transformed into complex networks based on time-series correlations. Metric comparisons showed non-significant trends towards high-degree orientation in the training groups and especially those involving physical activity. Regression of performance outcomes revealed a consistent negative association between the local efficiency of the anterior cingulate cortex and of the network and task outcomes. Implications for underlying group differences and consideration of network metrics for the brain are discussed.","abstract_has_math":false,"creators":["Hampton, Ryan"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-27T22:01:46Z","subjects":["Cognitive Aging"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/39306","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hampton, Ryan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-10T08:35:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-10T08:35:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2014"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cognitive Aging"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/39306"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Network science has become a powerful tool with which we can model the human brain as a complex network. Since the start of application of network science to the brain, many advances have been made. Due to this development of new metrics and network formation algorithms, the current study aimed to re-examine brain networks of a subset from the Seniors Health and Activity Research Program Pilot (Burdette et al., 2010). In addition, the present study sought to relate network metrics to participants' performance on cognitive and memory tasks. With past research implicating the anterior cingulate cortex and the hippocampus in changes associated with training programs in older adults, these were used as focal regions of interest. Of the original 73 participants, a subset of 29 participants were scanned using fMRI and had these images transformed into complex networks based on time-series correlations. Metric comparisons showed non-significant trends towards high-degree orientation in the training groups and especially those involving physical activity. Regression of performance outcomes revealed a consistent negative association between the local efficiency of the anterior cingulate cortex and of the network and task outcomes. Implications for underlying group differences and consideration of network metrics for the brain are discussed."]},{"key":"dc:title","label":"Title","values":["Combined Aerobic and Cognitive Training Effects on Complex Brain Networks in Older Adults"]}]}],"canonical_facts":{"dc:creator":["Hampton, Ryan"],"dc:date.accessioned":["2014-07-10T08:35:38Z"],"dc:date.available":["2014-07-10T08:35:38Z"],"dc:date.issued":["2014"],"dc:description.abstract":["Network science has become a powerful tool with which we can model the human brain as a complex network. Since the start of application of network science to the brain, many advances have been made. Due to this development of new metrics and network formation algorithms, the current study aimed to re-examine brain networks of a subset from the Seniors Health and Activity Research Program Pilot (Burdette et al., 2010). In addition, the present study sought to relate network metrics to participants' performance on cognitive and memory tasks. With past research implicating the anterior cingulate cortex and the hippocampus in changes associated with training programs in older adults, these were used as focal regions of interest. Of the original 73 participants, a subset of 29 participants were scanned using fMRI and had these images transformed into complex networks based on time-series correlations. Metric comparisons showed non-significant trends towards high-degree orientation in the training groups and especially those involving physical activity. Regression of performance outcomes revealed a consistent negative association between the local efficiency of the anterior cingulate cortex and of the network and task outcomes. Implications for underlying group differences and consideration of network metrics for the brain are discussed."],"dc:identifier.uri":["http://hdl.handle.net/10339/39306"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Cognitive Aging"],"dc:title":["Combined Aerobic and Cognitive Training Effects on Complex Brain Networks in Older Adults"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:01:46Z"}