Evidence map›Paper›PMID 34734109›Full record

ArticleCurrent opinion in behavioral sciences2021

Imaging the temporal dynamics of brain states with highly sampled fMRI.

Zinong Yang, Laura D Lewis

Open access · hybridAbstract read
In one paragraph

Article in Current opinion in behavioral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

  1. Human striatal population state dynamics.bioRxiv : the preprint server for biology · 2026
    Article
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  7. From Computation to Clinic.Biological psychiatry global open science · 2023
    Review
  8. Article
  9. Article
  10. 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

2 authors at 1 institution in 1 country.

Zinong YangGraduate Program in Neuroscience, Boston University, Boston MA, United States.
Laura D LewisDepartment of Biomedical Engineering, Boston University, Boston MA, United States.
Boston University · US

Funding

Imaging neural dynamics at high temporal resolution in sleep and sleep deprivationR00MH111748 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LEWIS, LAURA DIANE · 2019 to 2021
$746k
Imaging neural dynamics at high temporal resolution in sleep and sleep deprivationK99MH111748 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI LEWIS, LAURA DIANE · 2017 to 2018
$263k
NIMH NIH HHS K99 MH111748NIMH NIH HHS R00 MH111748
6 · The paper itself

Abstract

The spontaneous dynamics of the brain modulate its function from moment to moment, shaping neural computation and cognition. Functional MRI (fMRI), while classically used as a tool for spatial localization, is increasingly being used to identify the temporal dynamics of brain activity. fMRI analyses focused on the temporal domain have revealed important new information about the dynamics underlying states such as arousal, attention, and sleep. Dense temporal sampling - either by using fast fMRI acquisition, or multiple repeated scan sessions within individuals - can further enrich the information present in these studies. This review focuses on recent developments in using fMRI to identify dynamics across brain states, particularly vigilance and sleep states, and the potential for highly temporally sampled fMRI to answer these questions.

Identifiers

PMID34734109
PMCPMC8562679
OpenAlexW3136868340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.