Evidence map›Paper›PMID 27608603›Full record

ArticleNeuroImage2016

Intracortical depth analyses of frequency-sensitive regions of human auditory cortex using 7TfMRI.

Jyrki Ahveninen, Wei-Tang Chang, Samantha Huang, Boris Keil, Norbert Kopco, Stephanie Rossi, Giorgio Bonmassar, Thomas Witzel, Jonathan R Polimeni

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 51 citations in OpenAlex.

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  7. Neuronal Modeling of Cross-Sensory Visual Evoked Magnetoencephalography Responses in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  15. Linking cortical circuit models to human cognition with laminar fMRI.Neuroscience and biobehavioral reviews · 2021
    Review
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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

9 authors at 3 institutions in 2 countries.

Jyrki AhveninenHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA. Electronic address: jyrki@nmr.mgh.harvard.edu.
Wei-Tang ChangHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Samantha HuangHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Boris KeilHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Institute for Medical Physics and Radiation Protection, Life Science Engineering, Mittelhessen University of Applied Science, Giessen, Germany.
Norbert KopcoHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Institute of Computer Science, P.J. Šafárik University, Košice, Slovakia and Hearing Research Center, Boston University, Boston, MA, USA.
Stephanie RossiHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Giorgio BonmassarHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Thomas WitzelHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Jonathan R PolimeniHarvard Medical School - Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Massachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · USHarvard University · US

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
SPATIOTEMPORAL IMAGING OF HUMAN VISUAL SYSTEM PROCESSINGR01NS037462 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI · 1998 to 2013
$6.5M
Spatiotemporal Brain Imaging of Human Auditory CognitionR01HD040712 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2002 to 2013
$6.2M
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
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Dynamic imaging of oscillatory brain networks controlling selective attentionR01MH083744 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2010 to 2013
$1.9M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Biological Spatial Resolution Limits in fMRIK01EB011498 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2011 to 2015
$877k
3T MRI for Clinical and Translational ImagingS10OD010364 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2012
$600k
Spatiotemporal imaging of human visual system processingR56NS037462 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI · 2015 to 2015
$550k
7T Translational MRI SystemS10RR019371 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2007 to 2007
$500k
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR019371NCRR NIH HHS S10 RR021110NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIBIB NIH HHS K01 EB011498NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R01 EB019437NICHD NIH HHS R01 HD040712NIDCD NIH HHS R21 DC010060NIDCD NIH HHS R21 DC014134NIH HHS S10 OD010364NIMH NIH HHS R01 MH083744NINDS NIH HHS R01 NS037462NINDS NIH HHS R56 NS037462
6 · The paper itself

Abstract

Despite recent advances in auditory neuroscience, the exact functional organization of human auditory cortex (AC) has been difficult to investigate. Here, using reversals of tonotopic gradients as the test case, we examined whether human ACs can be more precisely mapped by avoiding signals caused by large draining vessels near the pial surface, which bias blood-oxygen level dependent (BOLD) signals away from the actual sites of neuronal activity. Using ultra-high field (7T) fMRI and cortical depth analysis techniques previously applied in visual cortices, we sampled 1mm isotropic voxels from different depths of AC during narrow-band sound stimulation with biologically relevant temporal patterns. At the group level, analyses that considered voxels from all cortical depths, but excluded those intersecting the pial surface, showed (a) the greatest statistical sensitivity in contrasts between activations to high vs. low frequency sounds and (b) the highest inter-subject consistency of phase-encoded continuous tonotopy mapping. Analyses based solely on voxels intersecting the pial surface produced the least consistent group results, even when compared to analyses based solely on voxels intersecting the white-matter surface where both signal strength and within-subject statistical power are weakest. However, no evidence was found for reduced within-subject reliability in analyses considering the pial voxels only. Our group results could, thus, reflect improved inter-subject correspondence of high and low frequency gradients after the signals from voxels near the pial surface are excluded. Using tonotopy analyses as the test case, our results demonstrate that when the major physiological and anatomical biases imparted by the vasculature are controlled, functional mapping of human ACs becomes more consistent from subject to subject than previously thought.

Indexed as

AdultAuditory CortexBrain MappingCerebral CortexCerebral VeinsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPia MaterSpeech PerceptionYoung Adult

Identifiers

PMID27608603
PMCPMC5124525
OpenAlexW2516855036

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Registered trials

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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.