Cited by 987Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain

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van den Heuvel, Martijn P., Mandl, René C.W., Kahn, René S., Hulshoff Pol, Hilleke E.·2009·Human Brain Mapping

Abstract

During rest, multiple cortical brain regions are functionally linked forming resting‐state networks. This high level of functional connectivity within resting‐state networks suggests the existence of direct neuroanatomical connections between these functionally linked brain regions to facilitate the ongoing interregional neuronal communication. White matter tracts are the structural highways of our brain, enabling information to travel quickly from one brain region to another region. In this study, we examined both the functional and structural connections of the human brain in a group of 26 healthy subjects, combining 3 Tesla resting‐state functional magnetic resonance imaging time‐series with diffusion tensor imaging scans. Nine consistently found functionally linked resting‐state networks were retrieved from the resting‐state data. The diffusion tensor imaging scans were used to reconstruct the white matter pathways between the functionally linked brain areas of these resting‐state networks. Our results show that well‐known anatomical white matter tracts interconnect at least eight of the nine commonly found resting‐state networks, including the default mode network, the core network, primary motor and visual network, and two lateralized parietal‐frontal networks. Our results suggest that the functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp 2009. © 2009 Wiley‐Liss, Inc.

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Crossref · 10.1002/hbm.20737

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  • Anterior and posterior callosal fibres and fibres such as the inferior-fronto-occipital fasciculus provide major connections within the anterior and posterior components of the default mode network regions.

    “Anterior and posterior callosal fibres and fibres such as the inferior-fronto-occipital fasciculus provide major connections within the anterior and posterior components of the default mode network regions (van den Heuvel et al., 2009)”

    From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as van den Heuvel et al., 2009

    The Results (RSN a; page not provided) identify the genu of the corpus callosum and the superior frontal-occipital fasciculus as connections within the default mode network. They do not identify the inferior frontal-occipital fasciculus or posterior callosal fibres as such connections; posterior precuneus callosal connections are reported for a separate network (RSN g). (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • The AIC and ACC are functionally and structurally connected.

    “The AIC and ACC are known to be functionally (Taylor et al., 2009) and structurally (van den Heuvel et al., 2009) connected.”

    From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as van den Heuvel et al., 2009

  • Higher FA is associated with better functional connectivity between anatomically distant gray matter regions using resting-state fMRI.

    “higher FA has been associated with better functional connectivity between anatomically distant gray matter regions using resting-state fMRI (functional MRI) 35,47,48”

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Research works printed but not linked: 1

  1. Jones DK,Horsfield MA,Simmons A ( 1999): Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 42: 515–525. [PubMed] [Google Scholar]

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Authors
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E.
Affiliations
University Medical Center Utrecht (NL)
Venue
Human Brain Mapping
Publisher
Wiley
Published
2009-02-23
Volume
30
Issue
10
Pages
3127-3141
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2022671987
Cited by
987
References
84
Citations by year
2026: 19 · 2025: 28 · 2024: 28 · 2023: 45 · 2022: 51 · 2021: 47 · 2020: 57 · 2019: 60 · 2018: 69 · 2017: 80 · 2016: 72 · 2015: 79 · 2014: 84 · 2013: 94 · 2012: 74
FWCI
27.75
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
resting-state networks, functional connectivity, structural connectivity, white matter tracts, default mode network, core network, visual network
MeSH terms
Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Neural Pathways, Oxygen, Rest, Diffusion Magnetic Resonance Imaging, Young Adult

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