Developmental trajectory of transmission speed in the human brain

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Abstract

The structure of the human connectome develops from childhood throughout adolescence to middle age, but how these structural changes affect the speed of neuronal signaling is not well described. In 74 subjects, we measured the latency of cortico-cortical evoked responses across association and U-fibers and calculated their corresponding transmission speeds. Decreases in conduction delays until at least 30 years show that the speed of neuronal communication develops well into adulthood.

Abstract

This study mapped the developmental trajectory of transmission speed in the human brain by using electrical pulses and intracranial recordings. The authors found that these pulses travel with increasing speeds up to at least the age of 30.

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Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature.

Christophe Destrieux, Bruce Fischl, Anders Dale … (2010)

Precise localization of sulco-gyral structures of the human cerebral cortex is important for the interpretation of morpho-functional data, but requires anatomical expertise and is time consuming because of the brain's geometric complexity. Software developed to automatically identify sulco-gyral structures has improved substantially as a result of techniques providing topologically correct reconstructions permitting inflated views of the human brain. Here we describe a complete parcellation of the cortical surface using standard internationally accepted nomenclature and criteria. This parcellation is available in the FreeSurfer package. First, a computer-assisted hand parcellation classified each vertex as sulcal or gyral, and these were then subparcellated into 74 labels per hemisphere. Twelve datasets were used to develop rules and algorithms (reported here) that produced labels consistent with anatomical rules as well as automated computational parcellation. The final parcellation was used to build an atlas for automatically labeling the whole cerebral cortex. This atlas was used to label an additional 12 datasets, which were found to have good concordance with manual labels. This paper presents a precisely defined method for automatically labeling the cortical surface in standard terminology. Copyright 2010 Elsevier Inc. All rights reserved.

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Why do many psychiatric disorders emerge during adolescence?

Tomáš Paus, Matcheri Keshavan, Jay Giedd (2008)

The peak age of onset for many psychiatric disorders is adolescence, a time of remarkable physical and behavioural changes. The processes in the brain that underlie these behavioural changes have been the subject of recent investigations. What do we know about the maturation of the human brain during adolescence? Do structural changes in the cerebral cortex reflect synaptic pruning? Are increases in white-matter volume driven by myelination? Is the adolescent brain more or less sensitive to reward? Finding answers to these questions might enable us to further our understanding of mental health during adolescence.

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Automatically Parcellating the Human Cerebral Cortex

B Fischl (2004)

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Author and article information

Contributors

Dora Hermes:

ORCID: http://orcid.org/0000-0002-8683-8909

hermes.dora@mayo.edu

Journal

Journal ID (nlm-ta): Nat Neurosci

Journal ID (iso-abbrev): Nat Neurosci

Title: Nature Neuroscience

Publisher: Nature Publishing Group US (New York )

ISSN (Print): 1097-6256

ISSN (Electronic): 1546-1726

Publication date (Electronic): 9 March 2023

Publication date PMC-release: 9 March 2023

Publication date (Print): 2023

Volume: 26

Issue: 4

Pages: 537-541

Affiliations

[1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Physiology and Biomedical Engineering, , Mayo Clinic, ; Rochester, MN USA

[2 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Neurology and Neurosurgery, , UMC Utrecht Brain Center, University Medical Center Utrecht, ; Utrecht, the Netherlands

[3 ]GRID grid.419298.f, ISNI 0000 0004 0631 9143, Stichting Epilepsie Instellingen Nederland (SEIN), ; Zwolle, the Netherlands

[4 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Neurosurgery, , Mayo Clinic, ; Rochester, MN USA

Author information

Dorien van Blooijs http://orcid.org/0000-0002-7998-414X

Max A. van den Boom http://orcid.org/0000-0001-5481-1659

Jaap F. van der Aar http://orcid.org/0000-0001-6387-5144

Kai J. Miller http://orcid.org/0000-0002-6687-6422

Frans S. S. Leijten http://orcid.org/0000-0003-2603-3364

Dora Hermes http://orcid.org/0000-0002-8683-8909

Article

Publisher ID: 1272

DOI: 10.1038/s41593-023-01272-0

PMC ID: 10076215

PubMed ID: 36894655

SO-VID: e9693e52-cb3e-43e4-9669-c7a8977b24a6

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 17 March 2022

Date accepted : 9 February 2023

Funding

Funded by: EpilepsyNL, NEF17-07

Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);

Award ID: R01 MH122258

Award ID: R01MH122258

Award ID: R01 MH122258

Award Recipient : Max A. van den Boom Frans S. S. Leijten Dora Hermes

Funded by: UMC Utrecht Alexandre Suerman MD/PhD Stipendium 2015

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ScienceOpen disciplines: Neurosciences

Keywords: cognitive ageing,neurophysiology,databases,development of the nervous system

Data availability:

ScienceOpen disciplines: Neurosciences

Keywords: cognitive ageing, neurophysiology, databases, development of the nervous system

Developmental trajectory of transmission speed in the human brain

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Neuronal Signaling

Most cited references 56

Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature.

Why do many psychiatric disorders emerge during adolescence?

Automatically Parcellating the Human Cerebral Cortex

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