Cited by 21Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Fetal functional imaging portrays heterogeneous development of emerging human brain networks

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Jakab, András, Schwartz, Ernst, Kasprian, Gregor, Gruber, Gerlinde M., Prayer, Daniela, Schöpf, Veronika, Langs, Georg·2014·Frontiers in Human Neuroscience

Abstract

The functional connectivity architecture of the adult human brain enables complex cognitive processes, and exhibits a remarkably complex structure shared across individuals. We are only beginning to understand its heterogeneous structure, ranging from a strongly hierarchical organization in sensorimotor areas to widely distributed networks in areas such as the parieto-frontal cortex. Our study relied on the functional magnetic resonance imaging (fMRI) data of 32 fetuses with no detectable morphological abnormalities. After adapting functional magnetic resonance acquisition, motion correction, and nuisance signal reduction procedures of resting-state functional data analysis to fetuses, we extracted neural activity information for major cortical and subcortical structures. Resting fMRI networks were observed for increasing regional functional connectivity from 21st to 38th gestational weeks (GWs) with a network-based statistical inference approach. The overall connectivity network, short range, and interhemispheric connections showed sigmoid expansion curve peaking at the 26-29 GW. In contrast, long-range connections exhibited linear increase with no periods of peaking development. Region-specific increase of functional signal synchrony followed a sequence of occipital (peak: 24.8 GW), temporal (peak: 26 GW), frontal (peak: 26.4 GW), and parietal expansion (peak: 27.5 GW). We successfully adapted functional neuroimaging and image post-processing approaches to correlate macroscopical scale activations in the fetal brain with gestational age. This in vivo study reflects the fact that the mid-fetal period hosts events that cause the architecture of the brain circuitry to mature, which presumably manifests in increasing strength of intra- and interhemispheric functional macro connectivity.

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  1. Flechsig P. E. (1920). Anatomie des Menschlichen Gehirns und Rückenmarks auf Myelogenetischer Grundlage. Leipzig: G. Thieme
  2. Geschwind N. (1964). “The development of the brain and the evolution of language,” in Monograph Series on Language and Linguistics ed. Stuart C. I. J. M. (Washington, DC: Georgetown University Press).
  3. Preuss T. M. (2009). “The cognitive neuroscience of human uniqueness,” in, The Cognitive Neurosciences ed. Gazzaniga M. S. (Cambridge, MA: MIT Press) 49– 64
  4. Yakovlev P. I. Lecours A. (1967). “The myelogenetic cycles of regional maturation of the brain,” in Regional Development of the Brain in Early Life, ed. Minkowski A. (Oxford: Blackwell) 3– 70

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Authors
Jakab, A., Schwartz, E., Kasprian, G., Gruber, G. M., Prayer, D., Schöpf, V., & Langs, G.
Affiliations
  • Medical University of Vienna (AT)
  • Massachusetts Institute of Technology (US)
Venue
Frontiers in Human Neuroscience
Published
2014-10-22
Volume
8
Pages
852-852
ISSN
1662-5161 (ISSN-L)
OpenAlex
W1966081525
Cited by
10
References
89
Citations by year
2025: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2019: 2
FWCI
0.00
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by)
  • Frontiers Research Foundation
Funders
  • European Commission (EU-FP7)
  • Austrian Science Fund (P23205)
  • Oesterreichische Nationalbank (P23205-B09)
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
fetal brain development, resting-state functional connectivity, gestational age, interhemispheric connections, cortical development, subcortical structures, fetal neuroimaging

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