Evidence map›Paper›PMID 30902641›Full record

ArticleNeuroImage2019

On time delay estimation and sampling error in resting-state fMRI.

Ryan V Raut, Anish Mitra, Abraham Z Snyder, Marcus E Raichle

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 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Combined Cognitive Training and Vortioxetine Mitigates Age-Related Declines in Functional Brain Network Integrity.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Trial
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  14. Disuse-driven plasticity in the human thalamus and putamen.bioRxiv : the preprint server for biology · 2024
    Article
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  18. Mechanisms of Action of TMS in the Treatment of Depression.Current topics in behavioral neurosciences · 2024
    Review
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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

4 authors.

Ryan V RautDepartments of Radiology, Washington University, St. Louis, MO, 63110, USA. Electronic address: raut@wustl.edu.
Anish MitraDepartments of Radiology, Washington University, St. Louis, MO, 63110, USA.
Abraham Z SnyderDepartments of Radiology, Washington University, St. Louis, MO, 63110, USA; Departments of Neurology, Washington University, St. Louis, MO, 63110, USA.
Marcus E RaichleDepartments of Radiology, Washington University, St. Louis, MO, 63110, USA; Departments of Neurology, Washington University, St. Louis, MO, 63110, USA.

Funding

IMAGING COREP01NS080675 · NINDS · WASHINGTON UNIVERSITY · PI SNYDER, ABRAHAM ZVI · 2013 to 2017
$6.2M
An fMRI investigation of propagated intrinsic activity in early development and autismF30MH106253 · NIMH · WASHINGTON UNIVERSITY · PI MITRA, ANISH · 2014 to 2018
$148k
NIMH NIH HHS F30 MH106253NINDS NIH HHS P01 NS080675
6 · The paper itself

Abstract

Accumulating evidence indicates that resting-state functional magnetic resonance imaging (rsfMRI) signals correspond to propagating electrophysiological infra-slow activity (<0.1 Hz). Thus, pairwise correlations (zero-lag functional connectivity (FC)) and temporal delays among regional rsfMRI signals provide useful, complementary descriptions of spatiotemporal structure in infra-slow activity. However, the slow nature of fMRI signals implies that practical scan durations cannot provide sufficient independent temporal samples to stabilize either of these measures. Here, we examine factors affecting sampling variability in both time delay estimation (TDE) and FC. Although both TDE and FC accuracy are highly sensitive to data quantity, we use surrogate fMRI time series to study how the former is additionally related to the magnitude of a given pairwise correlation and, to a lesser extent, the temporal sampling rate. These contingencies are further explored in real data comprising 30-min rsfMRI scans, where sampling error (i.e., limited accuracy owing to insufficient data quantity) emerges as a significant but underappreciated challenge to FC and, even more so, to TDE. Exclusion of high-motion epochs exacerbates sampling error; thus, both sides of the bias-variance (or data quality-quantity) tradeoff associated with data exclusion should be considered when analyzing rsfMRI data. Finally, we present strategies for TDE in motion-corrupted data, for characterizing sampling error in TDE and FC, and for mitigating the influence of sampling error on lag-based analyses.

Indexed as

BrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingRestSelection BiasFunctional connectivityHead motionLagReliabilitySampling errorTime delay estimation

Identifiers

PMID30902641
PMCPMC6559238

What OpenQuestion holds

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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.