Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence

Previous studies suggest that individual differences in intelligence correlate with circuit complexity and dendritic arborization in the brain. Here the authors use NODDI, a diffusion MRI technique, to confirm that neurite density and arborization are inversely related to measures of intelligence.

Bibliographic Details
Main Authors: Erhan Genç, Christoph Fraenz, Caroline Schlüter, Patrick Friedrich, Rüdiger Hossiep, Manuel C. Voelkle, Josef M. Ling, Onur Güntürkün, Rex E. Jung
Format: Article
Language:English
Published: Nature Publishing Group 2018-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-04268-8
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spelling doaj-9aa9c55aaf4040cc9e6afb6f0b668d662021-01-31T14:56:11ZengNature Publishing GroupNature Communications2041-17232018-05-019111110.1038/s41467-018-04268-8Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligenceErhan Genç0Christoph Fraenz1Caroline Schlüter2Patrick Friedrich3Rüdiger Hossiep4Manuel C. Voelkle5Josef M. Ling6Onur Güntürkün7Rex E. Jung8Institute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr University BochumInstitute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr University BochumInstitute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr University BochumInstitute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr University BochumTeam Test Development, Department of Psychology, Ruhr University BochumPsychological Research Methods, Department of Psychology, Humboldt University BerlinThe Mind Research Network/Lovelace Biomedical and Environmental Research InstituteInstitute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr University BochumDepartment of Neurosurgery, University of New MexicoPrevious studies suggest that individual differences in intelligence correlate with circuit complexity and dendritic arborization in the brain. Here the authors use NODDI, a diffusion MRI technique, to confirm that neurite density and arborization are inversely related to measures of intelligence.https://doi.org/10.1038/s41467-018-04268-8
collection DOAJ
language English
format Article
sources DOAJ
author Erhan Genç
Christoph Fraenz
Caroline Schlüter
Patrick Friedrich
Rüdiger Hossiep
Manuel C. Voelkle
Josef M. Ling
Onur Güntürkün
Rex E. Jung
spellingShingle Erhan Genç
Christoph Fraenz
Caroline Schlüter
Patrick Friedrich
Rüdiger Hossiep
Manuel C. Voelkle
Josef M. Ling
Onur Güntürkün
Rex E. Jung
Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
Nature Communications
author_facet Erhan Genç
Christoph Fraenz
Caroline Schlüter
Patrick Friedrich
Rüdiger Hossiep
Manuel C. Voelkle
Josef M. Ling
Onur Güntürkün
Rex E. Jung
author_sort Erhan Genç
title Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
title_short Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
title_full Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
title_fullStr Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
title_full_unstemmed Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
title_sort diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2018-05-01
description Previous studies suggest that individual differences in intelligence correlate with circuit complexity and dendritic arborization in the brain. Here the authors use NODDI, a diffusion MRI technique, to confirm that neurite density and arborization are inversely related to measures of intelligence.
url https://doi.org/10.1038/s41467-018-04268-8
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