Rostro-caudal Architecture of the Frontal Lobes in Humans.

Michel Thiebaut de Schotten, Marika Urbanski, Benedicte Batrancourt, Richard Levy, Bruno Dubois, Leonardo Cerliani, Emmanuelle Volle
Cereb. Cortex. 2016-07-26; :
DOI: 10.1093/cercor/bhw215

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1. Cereb Cortex. 2017 Aug 1;27(8):4033-4047. doi: 10.1093/cercor/bhw215.

Rostro-caudal Architecture of the Frontal Lobes in Humans.

Thiebaut de Schotten M(1)(2)(3), Urbanski M(1)(2)(4), Batrancourt B(1)(2), Levy
R(2), Dubois B(2), Cerliani L(1)(2), Volle E(1)(2)(3).

Author information:
(1)Brain Connectivity and Behaviour Group, Brain and Spine Institute, Paris,
(2)Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), UPMC UMRS 1127,
Inserm U 1127, CNRS UMR 7225, Paris, France.
(3)Centre de Neuroimagerie de Recherche CENIR, Groupe Hospitalier
Pitié-Salpêtrière, Paris, France.
(4)Service de Médecine et de Réadaptation, Hôpitaux de Saint-Maurice,
Saint-Maurice, France.

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.

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DOI: 10.1093/cercor/bhw215
PMCID: PMC6248461
PMID: 27461122 [Indexed for MEDLINE]

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