Task-based functional connectivity of the Useful Field of View (UFOV) fMRI task

被引:3
|
作者
Kraft, Jessica N. [1 ,2 ]
Hausman, Hanna K. [1 ,3 ]
Hardcastle, Cheshire [1 ,3 ]
Albizu, Alejandro [1 ,2 ]
O'Shea, Andrew [1 ,3 ]
Evangelista, Nicole D. [1 ,3 ]
Boutzoukas, Emanuel M. [1 ,3 ]
Van Etten, Emily J. [4 ,5 ]
Bharadwaj, Pradyumna K. [4 ,5 ]
Song, Hyun [4 ,5 ]
Smith, Samantha G. [4 ,5 ]
DeKosky, Steven [1 ,6 ]
Hishaw, Georg A. [7 ,8 ,9 ]
Wu, Samuel [10 ]
Marsiske, Michael [1 ,3 ]
Cohen, Ronald [1 ,3 ]
Alexander, Gene E. [6 ,7 ,8 ,9 ]
Porges, Eric [1 ,3 ]
Woods, Adam J. [1 ,2 ,3 ]
机构
[1] Univ Florida, Ctr Cognit Aging & Memory, McKnight Brain Inst, Gainesville, FL 32611 USA
[2] Univ Florida, Coll Med, Dept Neurosci, Gainesville, FL 32610 USA
[3] Univ Florida, Coll Publ Hlth & Hlth Profess, Dept Clin & Hlth Psychol, Gainesville, FL 32611 USA
[4] Univ Arizona, Dept Psychol, Brain Imaging Behav & Aging Lab, Gainesville, FL USA
[5] Univ Arizona, Evelyn F McKnight Brain Inst, Gainesville, FL USA
[6] Univ Florida, Coll Med, Dept Neurol, Gainesville, FL 32611 USA
[7] Univ Arizona, Dept Psychiat, Neurosci & Physiol Sci Grad Interdisciplinary Pro, Tucson, AZ USA
[8] Univ Arizona, BIO5 Inst, Tucson, AZ USA
[9] Arizona Alzheimers Consortium, Tucson, AZ USA
[10] Univ Florida, Dept Biostat, Coll Publ Hlth & Hlth Profess, Gainesville, FL USA
关键词
Useful field of view; UFOV; Functional connectivity; Cognitive aging; NEAR-INFRARED SPECTROSCOPY; PROCESSING-SPEED THEORY; OLDER-ADULTS; INSTRUMENTAL ACTIVITIES; COGNITIVE SPEED; AGE-DIFFERENCES; BRAIN ACTIVITY; MOTOR CORTEX; NETWORKS; ATTENTION;
D O I
10.1007/s11357-022-00632-1
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Numerous studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline in older adults. Despite its efficacy, little is known about the neural correlates of this task. The current study is the first to investigate the coherence of functional connectivity during UFOV task completion. A total of 336 participants completed the UFOV task while undergoing task-based functional magnetic resonance imaging (fMRI). Ten spherical regions of interest (ROIs), selected a priori, were created based on regions with the greatest peak BOLD activation patterns in the UFOV fMRI task and regions that have been shown to significantly relate to UFOV fMRI task performance. We used a weighted ROI-to-ROI connectivity analysis to model task-specific functional connectivity strength between these a priori selected ROIs. We found that our UFOV fMRI network was functionally connected during task performance and was significantly associated to UFOV fMRI task performance. Within-network connectivity of the UFOV fMRI network showed comparable or better predictive power in accounting for UFOV accuracy compared to 7 resting state networks, delineated by Yeo and colleagues. Finally, we demonstrate that the within-network connectivity of UFOV fMRI task accounted for scores on a measure of "near transfer", the Double Decision task, better than the aforementioned resting state networks. Our data elucidate functional connectivity patterns of the UFOV fMRI task. This may assist in future targeted interventions that aim to improve synchronicity within the UFOV fMRI network.
引用
收藏
页码:293 / 309
页数:17
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