Evidence map›Paper›PMID 29333912›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2019

The resting-state fMRI arterial signal predicts differential blood transit time through the brain.

Yunjie Tong, Jinxia Fiona Yao, J Jean Chen, Blaise deB Frederick

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 81 citations in OpenAlex.

  1. Global Signal Removal (GSR) as graph spatial filtering.bioRxiv : the preprint server for biology · 2026
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  4. Interhemispheric resting-state functional connectivity correlates with spontaneous neural interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. Effects of clamping end-tidal CONMR in biomedicine · 2024
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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 at 3 institutions in 2 countries.

Yunjie Tong1 Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Jinxia Fiona Yao2 Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA.
J Jean Chen3 Rotman Research Institute, Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada.
Blaise deB Frederick4 Brain Imaging Center, McLean Hospital, Belmont, MA, USA.
Purdue University West Lafayette · USBaycrest Hospital · CAImaging Center · US

Funding

Validation of a novel prospective circulatory biomarker for Alzheimer's Disease using the ADNI dataset.R01NS097512 · NINDS · MCLEAN HOSPITAL · PI FREDERICK, BLAISE DEBONNEVAL · 2016 to 2020
$2.7M
Multimodal Neuroimaging of Cigarette SmokingK25DA031769 · NIDA · PURDUE UNIVERSITY · PI TONG, YUNJIE · 2013 to 2017
$762k
A New Multimodal Perfusion Imaging Method Using Concurrent NIRS and fMRIR21DA032746 · NIDA · MCLEAN HOSPITAL · PI FREDERICK, BLAISE DEBONNEVAL · 2012 to 2013
$398k
NIDA NIH HHS K25 DA031769NIDA NIH HHS R21 DA032746NINDS NIH HHS R01 NS097512
6 · The paper itself

Abstract

Previous studies have found that aperiodic, systemic low-frequency oscillations (sLFOs) are present in blood-oxygen-level-dependent (BOLD) data. These signals are in the same low frequency band as the "resting state" signal; however, they are distinct signals which represent non-neuronal, physiological oscillations. The same sLFOs are found in the periphery (i.e. finger tips) as changes in oxy/deoxy-hemoglobin concentration using concurrent near-infrared spectroscopy. Together, this evidence points toward an extra-cerebral origin of these sLFOs. If this is the case, it is expected that these sLFO signals would be found in the carotid arteries with time delays that precede the signals found in the brain. To test this hypothesis, we employed the publicly available MyConnectome dataset (a two-year longitudinal study of a single subject) to extract the sLFOs in the internal carotid arteries (ICAs) with the help of the T1/T2-weighted images. Significant, but negative, correlations were found between the LFO BOLD signals from the ICAs and (1) the global signal (GS), (2) the superior sagittal sinus, and (3) the jugulars. We found the consistent time delays between the sLFO signals from ICAs, GS and veins which coincide with the blood transit time through the cerebral vascular tree.

Indexed as

AdultBiological ClocksBrainCarotid ArteriesCerebrovascular CirculationFemaleHumansJugular VeinsMagnetic Resonance ImagingMaleOxygenSuperior Sagittal SinusOxygenblood-oxygen-level dependentcerebral blood volumecerebral transit timeinternal carotid arteryLow-frequency oscillations

Identifiers

PMID29333912
PMCPMC6547182
OpenAlexW2784286959

What OpenQuestion holds

Textmetadata
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.