Evidence map›Paper›PMID 29307606›Full record

ArticleNeuroImage2018

Tracking behavioral and neural fluctuations during sustained attention: A robust replication and extension.

Francesca C Fortenbaugh, David Rothlein, Regina McGlinchey, Joseph DeGutis, Michael Esterman

Abstract read
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
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

59 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Real-time fMRI-triggered experience-sampling: a proof-of-concept study.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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

5 authors.

Francesca C FortenbaughNeuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Boston Attention & Learning Laboratory, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Psychiatry, Harvard Medical School, Boston, MA 02115, United States. Electronic address: Francesca_Fortenbaugh@hms.harvard.edu.
David RothleinNeuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Boston Attention & Learning Laboratory, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, United States.
Regina McGlincheyNeuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Psychiatry, Harvard Medical School, Boston, MA 02115, United States.
Joseph DeGutisNeuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Boston Attention & Learning Laboratory, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Medicine, Harvard Medical School, Boston, MA 02115, United States.
Michael EstermanNeuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Boston Attention & Learning Laboratory, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, United States.

Funding

Neurobiological & Clinical Phenotypes in OEF/OIF/OND Veterans with mTBI or BlastR21AT009430 · NCCIH · HARVARD MEDICAL SCHOOL · PI MILBERG, WILLIAM P · 2016 to 2017
$356k
Structural & Functional Brain Alterations Related to Adolescent Binge DrinkingI01CX001327 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MCGLINCHEY, REGINA · 2016 to 2020
–
Neural Mechanisms of Attention in PTSD and Comorbid TBIIK2CX000706 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ESTERMAN, MICHAEL · 2014 to 2018
–
CSRD VA I01 CX001327CSRD VA IK2 CX000706NCCIH NIH HHS R21 AT009430ORD VA B9254-C
6 · The paper itself

Abstract

Novel paradigms have allowed for more precise measurements of sustained attention ability and fluctuations in sustained attention over time, as well as the neural basis of fluctuations and lapses in performance. However, in recent years, concerns have arisen over the replicability of neuroimaging studies and psychology more broadly, particularly given the typically small sample sizes. One recently developed paradigm, the gradual-onset continuous performance task (gradCPT) has been validated behaviorally in large samples of participants. Yet neuroimaging studies investigating the neural basis of performance on this task have only been collected in small samples. The present study completed both a robust replication of the original neuroimaging findings and extended previous results from the gradCPT task using a large sample of 140 Veteran participants. Results replicate findings that fluctuations in attentional stability are tracked over time by BOLD activity in task positive (e.g., dorsal and ventral attention networks) and task negative (e.g., default network) regions. Extending prior results, we relate this coupling between attentional stability and on-going brain activity to overall sustained attention ability and demonstrate that this coupling strength, along with across-network coupling, could be used to predict individual differences in performance. Additionally, the results extend previous findings by demonstrating that temporal dynamics across the default and dorsal attention networks are associated with lapse-likelihood on subsequent trials. This study demonstrates the reliability of the gradCPT, and underscores the utility of this paradigm in understanding attentional fluctuations, as well as individual variation and deficits in sustained attention.

Indexed as

AdultAttentionBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleContinuous performance taskDefault mode networkDorsal attention networkfMRIVigilance

Identifiers

PMID29307606
PMCPMC5857436

What OpenQuestion holds

Textmetadata
LicenceTDM
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.