Evidence map›Paper›PMID 32127593›Full record

ArticleScientific reports2020

TASH: Toolbox for the Automated Segmentation of Heschl's gyrus.

Josué Luiz Dalboni da Rocha, Peter Schneider, Jan Benner, Roberta Santoro, Tanja Atanasova, Dimitri Van De Ville, Narly Golestani

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  19. Musical Expertise Shapes Functional and Structural Brain Networks Independent of Absolute Pitch Ability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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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

7 authors.

Josué Luiz Dalboni da RochaBrain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland. Josue.Dalboni@unige.ch.ORCID http://orcid.org/0000-0001-8939-6395
Peter SchneiderDepartment of Neurology, Section of Biomagnetism, University Hospital Heidelberg, Heidelberg, Germany.
Jan BennerDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
Roberta SantoroBrain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.
Tanja AtanasovaFaculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.
Dimitri Van De VilleMedical Image Processing Lab, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-2879-3861
Narly GolestaniBrain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0001-7388-4714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auditory cortex volume and shape differences have been observed in the context of phonetic learning, musicianship and dyslexia. Heschl's gyrus, which includes primary auditory cortex, displays large anatomical variability across individuals and hemispheres. Given this variability, manual labelling is the gold standard for segmenting HG, but is time consuming and error prone. Our novel toolbox, called 'Toolbox for the Automated Segmentation of HG' or TASH, automatically segments HG in brain structural MRI data, and extracts measures including its volume, surface area and cortical thickness. TASH builds upon FreeSurfer, which provides an initial segmentation of auditory regions, and implements further steps to perform finer auditory cortex delineation. We validate TASH by showing significant relationships between HG volumes obtained using manual labelling and using TASH, in three independent datasets acquired on different scanners and field strengths, and by showing good qualitative segmentation. We also present two applications of TASH, demonstrating replication and extension of previously published findings of relationships between HG volumes and (a) phonetic learning, and (b) musicianship. In sum, TASH effectively segments HG in a fully automated and reproducible manner, opening up a wide range of applications in the domains of expertise, disease, genetics and brain plasticity.

Indexed as

AdultAuditory CortexAutomationFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID32127593
PMCPMC7054571

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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.