Evidence map›Paper›PMID 32006946›Full record

ReviewNeurosurgical focus2020

Mapping cognitive and emotional networks in neurosurgical patients using resting-state functional magnetic resonance imaging.

Michael P Catalino, Shun Yao, Deborah L Green, Edward R Laws, Alexandra J Golby, Yanmei Tie

Abstract readReview
In one paragraph

Review in Neurosurgical focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Post-COVID-19 conditions: a systematic review on advanced magnetic resonance neuroimaging findings.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
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  4. Review
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  10. Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
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  18. Effects of iron oxide nanoparticles as TJournal of nanobiotechnology · 2022
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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

6 authors.

Michael P CatalinoDepartments of1Neurosurgery and.
Shun YaoDepartments of1Neurosurgery and.
Deborah L Green4Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Edward R LawsDepartments of1Neurosurgery and.
Alexandra J GolbyDepartments of1Neurosurgery and.
Yanmei TieDepartments of1Neurosurgery and.

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Multidisciplinary Training in Image-Guided TherapyR25CA089017 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI FENNESSY, FIONA · 2001 to 2017
$7.8M
Resting-state fMRI for Language Mapping in Brain Tumor PatientsR21CA198740 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLBY, ALEXANDRA J, TIE, YANMEI · 2015 to 2016
$425k
NCI NIH HHS R21 CA198740NCI NIH HHS R25 CA089017NIBIB NIH HHS P41 EB015898
6 · The paper itself

Abstract

Neurosurgery has been at the forefront of a paradigm shift from a localizationist perspective to a network-based approach to brain mapping. Over the last 2 decades, we have seen dramatic improvements in the way we can image the human brain and noninvasively estimate the location of critical functional networks. In certain patients with brain tumors and epilepsy, intraoperative electrical stimulation has revealed direct links between these networks and their function. The focus of these techniques has rightfully been identification and preservation of so-called "eloquent" brain functions (i.e., motor and language), but there is building momentum for more extensive mapping of cognitive and emotional networks. In addition, there is growing interest in mapping these functions in patients with a broad range of neurosurgical diseases. Resting-state functional MRI (rs-fMRI) is a noninvasive imaging modality that is able to measure spontaneous low-frequency blood oxygen level-dependent signal fluctuations at rest to infer neuronal activity. Rs-fMRI may be able to map cognitive and emotional networks for individual patients. In this review, the authors give an overview of the rs-fMRI technique and associated cognitive and emotional resting-state networks, discuss the potential applications of rs-fMRI, and propose future directions for the mapping of cognition and emotion in neurosurgical patients.

Indexed as

BrainBrain MappingEmotionsHumansMagnetic Resonance ImagingNerve NetNeurosurgical ProceduresRestBOLD = blood oxygen level–dependentbrain mappingcognitionDAN = dorsal attention networkDES = direct electrical stimulationDMN = default mode networkEEG = electroencephalographyemotionFC = functional connectivityfMRIfMRI = functional MRIFPN = frontoparietal networkICA = independent component analysisnetworksneuropsychologyresting stateROI = region of interestrs-fMRI = resting-state fMRIRSN = resting-state networkSCA = seed-based correlation analysisSN = salience networkVAN = ventral attention network

Identifiers

PMID32006946
PMCPMC7712886

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.