Background
Rapid declines in processing speed performance occur in aging and serve as a critical marker of cognitive abilities. Studies suggest that Useful Field of View (UFOV) training may ...ameliorate cognitive decline. The ACTIVE trial, consisting of over 2,800 participants, found a 29% reduction in ADRD risk 10 years following intervention. Recent clinical trials aimed at slowing cognitive decline in AD have focused on UFOV‐based interventions. Despite its efficacy, little is known about its neural correlates. The current study investigated blood‐oxygen level dependent (BOLD) activation patterns of the UFOV task.
Method
233 older adults completed the UFOV task while undergoing task‐based fMRI. The UFOV task requires participants to identify a central target, as well as a peripheral target amongst distractors, presented for a brief period of time. First‐level contrasts modeled hemodynamic response, while second‐level analyses assessed unique BOLD activation associated with encoding and recall components of the task. Age, education, sex and scanner were included as covariates. Significant clusters were defined as >10 voxels, and all clusters were corrected at a false discovery rate (FDR) of p<0.05.
Result
Previous data have shown widespread bilateral whole‐brain activation associated with the encoding component, whereas discrete activation patterns were related to the recall component of the task. Additionally, numerous shared brain regions were critical to both the encoding and recall components of the UFOV task. We further investigated cortical activation patterns associated with age‐related differences in UFOV performance. Variability in performance was related to widespread patterns of activation during the encoding component of the UFOV task, namely the superior parietal lobule, insula, hippocampus and DLPFC. Assessing UFOV performance variability within recall, no significant clusters survived FDR correction. Furthermore, the inferior parietal lobule, cerebellum, and inferior frontal gyrus were critical in both encoding and recall in UFOV performance.
Conclusion
The present study elucidates pivotal regions associated with UFOV task performance. Notably, we found that variability in UFOV performance is directly associated with neural activation during the presentation/apprehension of the stimuli, but not during recall. These findings suggest that variation in neural activation during speeded attentional processing is central to age‐related UFOV performance differences, and interventions targeting these neural processes may be of benefit.
Background
The Useful Field of View (UFOV) test assesses divided attention/speed of processing and relates to independent activities of daily living. Cognitive training utilizing UFOV improves ...speed‐of‐processing and reduces dementia risk by 29%. Neural correlates of UFOV include key regions of “higher‐order” resting state networks (RSNs) involved in attention processing and dementia risk: Frontoparietal control network (FPCN), Cingulo Opercular network (CON), Default Mode network (DMN), and Dorsal Attention network (DAN). Reduced anti‐correlation between the DMN and task positive RSNs (FPCN, CON, and DAN) is reported in dementia progression. Assessing the relationship of UFOV performance with within‐ and between‐ RSN connectivity may suggest neural mechanisms of cognitive training and potential pathways for reduced dementia risk. We hypothesize that FPCN, CON, and DAN within network connectivity will predict UFOV performance, as these networks are involved in attention processing. We also predict that DMN‐CON anti‐correlation will predict UFOV performance, as this anti‐correlation is related to dementia progression.
Method
279 healthy older adults (M = 71.6, SD = 5.1) from a larger multi‐site clinical trial were recruited. UFOV performance was measured via Double Decision (DD) task from Posit Science Brain HQ. Participants correctly identified a central target, while simultaneously specifying location of a peripheral target among distractors. Average within‐network connectivity of FPCN, CON, DAN, and DMN, and between‐network connectivity of DMN‐CON, DMN‐FPCN, and DMN‐DAN were extracted from resting‐state functional magnetic resonance imaging through the CONN Toolbox v18b via SPM 12. Multiple linear regressions predicted DD performance from within‐ and between‐network values, controlling for age, sex, education, and scanner. All between‐network values were included in the same regression model.
Result
Reduced CON (β=‐.134, p=.023) and FPCN (β=‐.126, p=.029) connectivity was associated with poorer DD performance. Less DMN‐CON anticorrelation demonstrated a trend for predicting better DD performance (β=‐.126, p=.060).
Conclusion
Consistent with previous research, faster DD performance is associated with RSNs involved in executive functioning, attention, and processing speed. Although only trending, reduced DMN‐CON anticorrelation may be related to DD performance. This suggests that within network connectivity may contribute more to DD performance than between‐network connectivity involved in dementia progression in healthy older adults.
Abstract
Objective
Training in a divided attention/speed-of-processing task called Useful Field of View (UFOV) reduced dementia risk in older adults. Higher connectivity in resting-state networks ...involved in attention/inter-network modulation (cingulo-opercular network(CON); frontoparietal control network(FPCN)) relates to better UFOV performance. Cognitive status relates to CON connectivity and UFOV performance. Therefore, it may be an important third variable to consider. This study assessed the mediation of cognitive status on the relationship between CON/FPCN connectivity and UFOV performance.
Methods
266 healthy older adults (age M = 71.4, SD = 5.18; 92% Caucasian) were recruited through a clinical trial at the University of Florida and the University of Arizona. Cognitive status was defined by the NIH Toolbox Fluid Composite score, assessing processing speed, attention/inhibition, executive functioning, and working/episodic memory. UFOV via the Double Decision assessment was administered. Participants underwent resting-state functional magnetic resonance imaging. Average within-network connectivity of CON and FPCN were extracted with the CONN Toolboxv18b via SPM12. Mediation of cognitive status on the relationship between CON/FPCN connectivity and UFOV performance was assessed controlling for sex, age, education, and site.
Results
Cognitive status fully mediated the indirect effect of CON on UFOV b = −0.1776; 95%CI (−0.3194, −0.0684) Figure 1, and FPCN on UFOV b = −0.1461; 95%CI (−0.2934, −0.0342) Figure 2.
Conclusions
Cognitive status accounted in part for the association between CON/FPCN connectivity and UFOV performance. Older adults with higher cognitive status had stronger functional connectivity and better UFOV performance. Future research should explore the influence of cognitive status on functional connectivity after UFOV training, and investigate which cognitive domains are most influential.
Speed-of-processing abilities decline with age yet are important in performing instrumental activities of daily living. The useful field of view, or Double Decision task, assesses speed-of-processing ...and divided attention. Performance on this task is related to attention, executive functioning, and visual processing abilities in older adults, and poorer performance predicts more motor vehicle accidents in the elderly. Cognitive training in this task reduces risk of dementia. Structural and functional neural correlates of this task suggest that higher-order resting state networks may be associated with performance on the Double Decision task, although this has never been explored. This study aimed to assess the association of within-network connectivity of the default mode network, dorsal attention network, frontoparietal control network, and cingulo-opercular network with Double Decision task performance, and subcomponents of this task in a sample of 267 healthy older adults. Multiple linear regressions showed that connectivity of the cingulo-opercular network is associated with visual speed-of-processing and divided attention subcomponents of the Double Decision task. Cingulo-opercular network and frontoparietal control network connectivity is associated with Double Decision task performance. Stronger connectivity is related to better performance in all cases. These findings confirm the unique role of the cingulo-opercular network in visual attention and sustained divided attention. Frontoparietal control network connectivity, in addition to cingulo-opercular network connectivity, is related to Double Decision task performance, a task implicated in reduced dementia risk. Future research should explore the role these higher-order networks play in reduced dementia risk after cognitive intervention using the Double Decision task.
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