Rostro-caudal Architecture of the Frontal Lobes in Humans
- PMID: 27461122
- PMCID: PMC6248461
- DOI: 10.1093/cercor/bhw215
Rostro-caudal Architecture of the Frontal Lobes in Humans
Abstract
The nature of the inputs and outputs of a brain region defines its functional specialization. The frontal portion of the brain is essential for goal-directed behaviors, however, the biological basis for its functional organization is unknown. Here, exploring structural connectomic properties, we delineated 12 frontal areas, defined by the pattern of their white matter connections. This result was highly reproducible across neuroimaging centers, acquisition parameters, and participants. These areas corresponded to regions functionally engaged in specific tasks, organized along a rostro-caudal axis from the most complex high-order association areas to the simplest idiotopic areas. The rostro-caudal axis along which the 12 regions were organized also reflected a gradient of cortical thickness, myelination, and cell body density. Importantly, across the identified regions, this gradient of microstructural features was strongly associated with the varying degree of information processing complexity. These new anatomical signatures shed light onto the structural organization of the frontal lobes and could help strengthen the prediction or diagnosis of neurodevelopmental and neurodegenerative disorders.
Keywords: anatomy; cytoarchitecture; frontal lobes; myeloarchitecture; tractography.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Figures
References
-
- Aichelburg C, Urbanski M, Thiebaut de Schotten M, Humbert F, Levy R, Volle E.. 2016. Morphometry of left frontal and temporal poles predicts analogical reasoning abilities. Cereb Cortex. 26:915–932. - PubMed
-
- Amunts K, Lepage C, Borgeat L, Mohlberg H, Dickscheid T, Rousseau ME, Bludau S, Bazin PL, Lewis LB, Oros-Peusquens AM, et al. .. 2013. BigBrain: an ultrahigh-resolution 3D human brain model. Science. 340:1472–1475. - PubMed
-
- Anderson JLR, Jenkinson M, Smith S.. 2007. Non-linear registration aka Spatial normalisation. FMRIB Technial Report TR07JA2.
-
- Andersson JL, Skare S, Ashburner J.. 2003. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 20:870–888. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
