Login / Signup

Connecting memory and functional brain networks in older adults: a resting-state fMRI study.

Jori L WanerHanna K HausmanJessica N KraftCheshire HardcastleNicole D EvangelistaAndrew O'SheaAlejandro AlbizuEmanuel M BoutzoukasEmily J Van EttenPradyumna K BharadwajHyun SongSamantha G SmithSteven T DeKoskyGeorg A HishawSamuel S WuMichael MarsiskeRonald CohenGene E AlexanderEric C PorgesAdam J Woods
Published in: GeroScience (2023)
Limited research exists on the association between resting-state functional network connectivity in the brain and learning and memory processes in advanced age. This study examined within-network connectivity of cingulo-opercular (CON), frontoparietal control (FPCN), and default mode (DMN) networks, and verbal and visuospatial learning and memory in older adults. Across domains, we hypothesized that greater CON and FPCN connectivity would associate with better learning, and greater DMN connectivity would associate with better memory. A total of 330 healthy older adults (age range = 65-89) underwent resting-state fMRI and completed the Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R) in a randomized clinical trial. Total and delayed recall scores were assessed from baseline data, and a learning ratio calculation was applied to participants' scores. Average CON, FPCN, and DMN connectivity values were obtained with CONN Toolbox. Hierarchical regressions controlled for sex, race, ethnicity, years of education, and scanner site, as this was a multi-site study. Greater within-network CON connectivity was associated with better verbal learning (HVLT-R Total Recall, Learning Ratio), visuospatial learning (BVMT-R Total Recall), and visuospatial memory (BVMT-R Delayed Recall). Greater FPCN connectivity was associated with better visuospatial learning (BVMT-R Learning Ratio) but did not survive multiple comparison correction. DMN connectivity was not associated with these measures of learning and memory. CON may make small but unique contributions to learning and memory across domains, making it a valuable target in future longitudinal studies and interventions to attenuate memory decline. Further research is necessary to understand the role of FPCN in learning and memory.
Keyphrases
  • resting state
  • working memory
  • functional connectivity
  • physical activity
  • healthcare
  • computed tomography
  • magnetic resonance
  • machine learning
  • electronic health record
  • deep learning