Evidence map›Paper›PMID 30753928›Full record

ArticleNeuroImage2019

Quasi-periodic patterns contribute to functional connectivity in the brain.

Anzar Abbas, Michaël Belloy, Amrit Kashyap, Jacob Billings, Maysam Nezafati, Eric H Schumacher, Shella Keilholz

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Trial
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  5. Cognition emerges from phase dynamics of intrinsic coordination.bioRxiv : the preprint server for biology · 2026
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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

7 authors.

Anzar AbbasNeuroscience, Emory University, 1760 Haygood Dr NE Suite W-200, Atlanta, GA, 30322, USA.
Michaël BelloyBio-Imaging Lab, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
Amrit KashyapBiomedical Engineering, Emory University and Georgia Institute of Technology, 1760, Haygood Dr NE Suite, W-200, Atlanta, GA, 30322, USA.
Jacob BillingsNeuroscience, Emory University, 1760 Haygood Dr NE Suite W-200, Atlanta, GA, 30322, USA.
Maysam NezafatiBiomedical Engineering, Emory University and Georgia Institute of Technology, 1760, Haygood Dr NE Suite, W-200, Atlanta, GA, 30322, USA.
Eric H SchumacherSchool of Psychology, Georgia Institute of Technology, 654 Cherry Street, Atlanta, GA 30332, USA.
Shella KeilholzNeuroscience, Emory University, 1760 Haygood Dr NE Suite W-200, Atlanta, GA, 30322, USA; Biomedical Engineering, Emory University and Georgia Institute of Technology, 1760, Haygood Dr NE Suite, W-200, Atlanta, GA, 30322, USA. Electronic address: shella.keilholz@bme.gatech.edu.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
J: NRSA Training CoreTL1TR002382 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Vasiliki Michopoulos · 2017 to 2026
$8.5M
Contribution of Ultra Low Frequency LFPs to Functional MRIR01NS078095 · NINDS · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2012 to 2022
$3.4M
Spatiotemporal signatures of neural activity and neurophysiology in the BOLD signalR01MH111416 · NIMH · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2016 to 2020
$1.9M
NCATS NIH HHS TL1 TR002382NCATS NIH HHS UL1 TR002378NIMH NIH HHS R01 MH111416NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS078095
6 · The paper itself

Abstract

Functional connectivity is widely used to study the coordination of activity between brain regions over time. Functional connectivity in the default mode and task positive networks is particularly important for normal brain function. However, the processes that give rise to functional connectivity in the brain are not fully understood. It has been postulated that low-frequency neural activity plays a key role in establishing the functional architecture of the brain. Quasi-periodic patterns (QPPs) are a reliably observable form of low-frequency neural activity that involve the default mode and task positive networks. Here, QPPs from resting-state and working memory task-performing individuals were acquired. The spatiotemporal pattern, strength, and frequency of the QPPs between the two groups were compared and the contribution of QPPs to functional connectivity in the brain was measured. In task-performing individuals, the spatiotemporal pattern of the QPP changes, particularly in task-relevant regions, and the QPP tends to occur with greater strength and frequency. Differences in the QPPs between the two groups could partially account for the variance in functional connectivity between resting-state and task-performing individuals. The QPPs contribute strongly to connectivity in the default mode and task positive networks and to the strength of anti-correlation seen between the two networks. Many of the connections affected by QPPs are also disrupted during several neurological disorders. These findings contribute to understanding the dynamic neural processes that give rise to functional connectivity in the brain and how they may be disrupted during disease.

Indexed as

AdultBrainBrain MappingFemaleHumansImage Processing, Computer-AssistedMaleNerve NetNeural PathwaysYoung AdultDefault mode networkFunctional connectivityQuasi-periodic patternsResting stateTaskTask positive network

Identifiers

PMID30753928
PMCPMC6440826

What OpenQuestion holds

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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.