Evidence map›Paper›PMID 29224727›Full record

ArticleNeuron2017

High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1.

Laurentius Huber, Daniel A Handwerker, David C Jangraw, Gang Chen, Andrew Hall, Carsten Stüber, Javier Gonzalez-Castillo, Dimo Ivanov, Sean Marrett, Maria Guidi and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed
16.5field-weighted citation impact, top 1% 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

207 citing papers in PubMed, 376 citations in OpenAlex.

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  4. Distinct Neural Modes Carry Information About Attempted Grasp Timing and Force in the Sensorimotor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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147 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 4 countries.

Laurentius HuberNIMH, NIH, Bethesda, MD 20892, USA. Electronic address: laurentius.huber@nih.gov.
Daniel A HandwerkerNIMH, NIH, Bethesda, MD 20892, USA.
David C JangrawNIMH, NIH, Bethesda, MD 20892, USA.
Gang ChenNIMH, NIH, Bethesda, MD 20892, USA.
Andrew HallNIMH, NIH, Bethesda, MD 20892, USA.
Carsten StüberDepartment of Radiology, Weill Cornell Medical College, New York, NY 10044, USA; Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
Javier Gonzalez-CastilloNIMH, NIH, Bethesda, MD 20892, USA.
Dimo IvanovMaastricht Brain Imaging Centre, Maastricht University, Maastricht 6229, the Netherlands.
Sean MarrettNIMH, NIH, Bethesda, MD 20892, USA.
Maria GuidiNMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
Jozien GoenseSchool of Psychology and Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK.
Benedikt A PoserMaastricht Brain Imaging Centre, Maastricht University, Maastricht 6229, the Netherlands.
Peter A BandettiniNIMH, NIH, Bethesda, MD 20892, USA.
Maastricht University · NLMax Planck Institute for Human Cognitive and Brain Sciences · DEUniversity of Glasgow · GBYale University · US

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
Functional MRI Method DevelopmentZ01MH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER A · 2002 to 2008
$5.7M
Intramural NIH HHS Z01 MH002783Intramural NIH HHS Z99 MH999999Medical Research Council MR/N003403/1
6 · The paper itself

Abstract

Layer-dependent fMRI allows measurements of information flow in cortical circuits, as afferent and efferent connections terminate in different cortical layers. However, it is unknown to what level human fMRI is specific and sensitive enough to reveal directional functional activity across layers. To answer this question, we developed acquisition and analysis methods for blood-oxygen-level-dependent (BOLD) and cerebral-blood-volume (CBV)-based laminar fMRI and used these to discriminate four different tasks in the human motor cortex (M1). In agreement with anatomical data from animal studies, we found evidence for somatosensory and premotor input in superficial layers of M1 and for cortico-spinal motor output in deep layers. Laminar resting-state fMRI showed directional functional connectivity of M1 with somatosensory and premotor areas. Our findings demonstrate that CBV-fMRI can be used to investigate cortical activity in humans with unprecedented detail, allowing investigations of information flow between brain regions and outperforming conventional BOLD results that are often buried under vascular biases.

Indexed as

Brain MappingBrainCerebrovascular CirculationHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMotor CortexOxygenRestOxygenBOLDcortical layersfMRIlayer fMRIneurovascular couplingVASO

Identifiers

PMID29224727
PMCPMC5739950
OpenAlexW2774953329

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.