Evidence map›Paper›PMID 33851140›Full record

ArticleSTAR protocols2021

A protocol for ultra-high field laminar fMRI in the human brain.

Ke Jia, Elisa Zamboni, Catarina Rua, Nuno Reis Goncalves, Valentin Kemper, Adrian Ka Tsun Ng, Christopher T Rodgers, Guy Williams, Rainer Goebel, Zoe Kourtzi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  4. Article
  5. 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

10 authors.

Ke JiaDepartment of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
Elisa ZamboniDepartment of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
Catarina RuaWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Nuno Reis GoncalvesDepartment of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
Valentin KemperDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands.
Adrian Ka Tsun NgDepartment of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
Christopher T RodgersWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Guy WilliamsWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Rainer GoebelDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands.
Zoe KourtziDepartment of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/E012604/1Biotechnology and Biological Sciences Research Council BB/P021255/1Biotechnology and Biological Sciences Research Council H012508Medical Research Council MR/M008983/1Wellcome Trust 098436/Z/12/BWellcome Trust 205067/Z/16/Z
6 · The paper itself

Abstract

Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculature-related confounders to improve the spatial accuracy of the fMRI signal. For complete details on the use and execution of this protocol, please refer to Jia et al. (2020) and Zamboni et al. (2020).

Indexed as

SoftwareAlgorithmsBrainFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingClinical ProtocolNeuroscienceNMR

Identifiers

PMID33851140
PMCPMC8039727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.