Structural Integrity of Attention Networks in Cross-Modal Selective Attention Performance in Healthy Aging

dc.contributor.advisorDavid C. Osmon
dc.contributor.committeememberChristine Larson
dc.contributor.committeememberBonita Klein-Tasman
dc.creatorKassel, Michelle
dc.date.accessioned2025-01-16T18:03:18Z
dc.date.issued2017-05-01
dc.description.abstractThe influence of structural brain changes in healthy aging on cross-modal selective attention performance was investigated with structural MRI (T1- and diffusion-weighted scans). Eighteen younger (M=26.1, SD=5.7) and 18 older (M=62.4, SD=4.9) healthy adults with normal hearing performed a reaction time (RT) cross-modal selective attention A/B/X task. Participants discriminated syllables presented in either visual or auditory modalities, with either randomized or fixed distraction presented simultaneously in the opposite modality. Within the older group only, RT was significantly slower during random (M=573.24, SE=33.66) compared to fixed (M=554.04, SE=33.53) distraction, F(1,34)=5.41, p=.026. Average gray matter thickness and white matter integrity were lower for older adults, all p.05. However, post-hoc adaptive lasso regressions demonstrated that FA of bilateral SLF predicted RT distraction index, Wald 2=3.88, p=.016. The present results indicate that structural integrity underlying both DAN and VAN may aid in cross-modal selective attention performance, suggesting that communication between the networks, likely via top-down modulation of bottom-up processes, may be crucial for optimal attention regulation.
dc.description.embargo2019-06-01
dc.embargo.liftdate2019-06-01
dc.identifier.urihttp://digital.library.wisc.edu/1793/85822
dc.relation.replaceshttps://dc.uwm.edu/etd/1497
dc.subjectAttention Control
dc.subjectHealthy Aging
dc.subjectWhite Matter Integrity
dc.titleStructural Integrity of Attention Networks in Cross-Modal Selective Attention Performance in Healthy Aging
dc.typethesis
thesis.degree.disciplinePsychology
thesis.degree.grantorUniversity of Wisconsin-Milwaukee
thesis.degree.nameMaster of Science

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