Evidence map›Paper›PMID 34431043›Full record

ArticleGeroScience2022

Higher-order resting state network association with the useful field of view task in older adults.

Cheshire Hardcastle, Hanna K Hausman, Jessica N Kraft, Alejandro Albizu, Nicole D Evangelista, Emanuel M Boutzoukas, Andrew O'Shea, Kailey Langer, Emily Van Van Etten, Pradyumna K Bharadwaj and 10 more

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 3 institutions in 1 country.

Cheshire HardcastleCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Hanna K HausmanCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Jessica N KraftCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Alejandro AlbizuCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Nicole D EvangelistaCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Emanuel M BoutzoukasCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Andrew O'SheaCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Kailey LangerCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Emily Van Van EttenEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Pradyumna K BharadwajEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Hyun SongEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Samantha G SmithEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Eric PorgesCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Steven T DeKoskyCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Georg A HishawDepartment of Neurology, University of Arizona, Tucson, AZ, USA.
Samuel S WuDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Michael MarsiskeCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Ronald CohenCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Gene E AlexanderEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Adam J WoodsCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA. ajwoods@phhp.ufl.edu.
University of Florida · USUniversity of Florida Health · USUniversity of Arizona · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI ALEXANDER, GENE E · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
Augmenting Cognitive Training in Older Adults - The ACT GrantR01AG054077 · NIA · UNIVERSITY OF FLORIDA · PI COHEN, RONALD A, MARSISKE, MICHAEL · 2016 to 2020
$6.9M
Research Training in Non-Pharmacological Interventions for Cognition in Aging, MCI, and Alzheimer's DiseaseT32AG020499 · NIA · UNIVERSITY OF FLORIDA · PI MARSISKE, MICHAEL, SMITH, GLENN E. · 2003 to 2024
$3.7M
Breathing Research and Therapeutics (BREATHE)T32HL134621 · NHLBI · UNIVERSITY OF FLORIDA · PI Gordon S. Mitchell · 2017 to 2026
$3.4M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
Clinical and Translational Predoctoral training in Alzheimers Disease and Related DementiasT32AG061892 · NIA · UNIVERSITY OF FLORIDA · PI PARAMITA CHAKRABARTY, JADA M LEWIS · 2018 to 2026
$1.8M
Neuromodulation of Cognition in Older AdultsK01AG050707 · NIA · UNIVERSITY OF FLORIDA · PI WOODS, ADAM J. · 2016 to 2020
$613k
NHLBI NIH HHS T32 HL134621NIA NIH HHS K01 AG050707NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG054077NIA NIH HHS T32 AG020499NIA NIH HHS T32 AG061892NIH HHS S10 OD021726
6 · The paper itself

Abstract

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.

Indexed as

Activities of Daily LivingMagnetic Resonance ImagingAgedCognitionHumansNeural PathwaysVisual PerceptionAttentionFunctional magnetic resonance imagingHealthy agingResting state networksSpeed-of-processing

Identifiers

PMID34431043
PMCPMC8810967
OpenAlexW3193427380

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.