Evidence map›Paper›PMID 33991695›Full record

ArticleNeuroImage2021

Inter-regional BOLD signal variability is an organizational feature of functional brain networks.

Giulia Baracchini, Bratislav Mišić, Roni Setton, Laetitia Mwilambwe-Tshilobo, Manesh Girn, Jason S Nomi, Lucina Q Uddin, Gary R Turner, R Nathan Spreng

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Behavioural stochastic resonance across the lifespan.Cognitive, affective & behavioral neuroscience · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Brain signal variability and executive functions across the life span.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  18. Article
  19. Similarity in functional connectome architecture predicts teenage grit.Social cognitive and affective neuroscience · 2023
    Article
  20. 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

9 authors.

Giulia BaracchiniDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada; Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada. Electronic address: giulia.baracchini@mail.mcgill.ca.
Bratislav MišićDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada; McConnell Brain Imaging Center, McGill University, Montréal, QC H3A 2B4, Canada.
Roni SettonDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada.
Laetitia Mwilambwe-TshiloboDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada.
Manesh GirnDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada.
Jason S NomiDepartment of Psychology, University of Miami, Coral Gables, FL 33146, Canada.
Lucina Q UddinDepartment of Psychology, University of Miami, Coral Gables, FL 33146, Canada.
Gary R TurnerDepartment of Psychology, York University, Toronto, ON M3J 1P3, Canada.
R Nathan SprengDepartment of Neurology and Neurosurgery, Montréal Neurological Institute, Montréal, QC H3A 2B4, Canada; Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada; McConnell Brain Imaging Center, McGill University, Montréal, QC H3A 2B4, Canada; Departments of Psychiatry and Psychology, McGill University, Montréal, QC H3A 1G1, Canada. Electronic address: nathan.spreng@mcgill.ca.

Funding

Cognitive and Neural Flexibility in AutismR01MH107549 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI UDDIN, LUCINA QAZI · 2015 to 2019
$2.4M
3T MR scanner for imaging from mouse to humanS10RR025145 · NCRR · CORNELL UNIVERSITY · PI WANG, YI · 2009 to 2009
$2.0M
Brain Signal Variability as a Novel Marker of Flexible Cognition in AutismR03MH121668 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI NOMI, JASON SCOTT · 2019 to 2020
$151k
CIHRNCRR NIH HHS S10 RR025145NIMH NIH HHS R01 MH107549NIMH NIH HHS R03 MH121668
6 · The paper itself

Abstract

Neuronal variability patterns promote the formation and organization of neural circuits. Macroscale similarities in regional variability patterns may therefore be linked to the strength and topography of inter-regional functional connections. To assess this relationship, we used multi-echo resting-state fMRI and investigated macroscale connectivity-variability associations in 154 adult humans (86 women; mean age = 22yrs). We computed inter-regional measures of moment-to-moment BOLD signal variability and related them to inter-regional functional connectivity. Region pairs that showed stronger functional connectivity also showed similar BOLD signal variability patterns, independent of inter-regional distance and structural similarity. Connectivity-variability associations were predominant within all networks and followed a hierarchical spatial organization that separated sensory, motor and attention systems from limbic, default and frontoparietal control association networks. Results were replicated in a second held-out fMRI run. These findings suggest that macroscale BOLD signal variability is an organizational feature of large-scale functional networks, and shared inter-regional BOLD signal variability may underlie macroscale brain network dynamics.

Indexed as

ConnectomeAdolescentAdultBrainFemaleHumansMagnetic Resonance ImagingMaleNerve NetYoung Adult

Identifiers

PMID33991695
PMCPMC8970039

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.