Evidence map›Paper›PMID 33816717›Full record

ArticleCurrent opinion in behavioral sciences2021

High-resolution fMRI at 7 Tesla: challenges, promises and recent developments for individual-focused fMRI studies.

Olivia Viessmann, Jonathan R Polimeni

Abstract 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  15. Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  16. Principles of intensive human neuroimaging.Trends in neurosciences · 2024
    Article
  17. Article
  18. Article
  19. Article
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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

2 authors.

Olivia ViessmannAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Jonathan R PolimeniAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative SupplementR01EB019437 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO, SETSOMPOP, KAWIN · 2015 to 2024
$5.5M
Resting state connectivity: Biophysical basis for and improved fMRI measurementsR01MH111438 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEINFELD, DAVID, ROSEN, BRUCE R · 2016 to 2020
$5.2M
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics: Administrative SupplementR01MH111419 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2016 to 2020
$4.9M
Precision Mapping the Human Cerebellum for Neuromodulation and Understanding of Brain DisordersR01MH124004 · NIMH · HARVARD UNIVERSITY · PI BUCKNER, RANDY L, POLIMENI, JONATHAN RIZZO · 2020 to 2022
$1.8M
Neurovascular dynamics supporting fast and high resolution functional MR imagingR21NS106706 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2018 to 2019
$457k
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019437NIBIB NIH HHS U01 EB025162NIMH NIH HHS R01 MH111419NIMH NIH HHS R01 MH111438NIMH NIH HHS R01 MH124004NIMH NIH HHS U54 MH091657NINDS NIH HHS R21 NS106706
6 · The paper itself

Abstract

Limited detection power has been a bottleneck for subject-specific functional MRI (fMRI) studies, however the higher signal-to-noise ratio afforded by ultra-high magnetic fields (≥ 7 Tesla) provides levels of sensitivity and resolution needed to study individual subjects. What may be surprising is that higher imaging resolution may provide both higher specificity and sensitivity due to reductions in partial volume effects and reduced physiological noise. However, challenges remain to ensure high data quality and to reduce variability in ultra-high field fMRI. We discuss session-specific

Indexed as

BOLD fMRIhigh-resolution fMRIMRI physicsparallel imagingprecision fMRIsingle-subject fMRIultra-high field

Identifiers

PMID33816717
PMCPMC8018601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.