A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers
Brain Struct Funct. 2018-12-07; :
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Labache L(1)(2)(3)(4)(5), Joliot M(1)(2)(3), Saracco J(5)(6), Jobard G(1)(2)(3), Hesling I(1)(2)(3), Zago L(1)(2)(3), Mellet E(1)(2)(3), Petit L(1)(2)(3), Crivello F(1)(2)(3), Mazoyer B(1)(2)(3), Tzourio-Mazoyer N(7)(8)(9).
(1)Univ. Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France.
(2)CNRS, IMN, UMR 5293, 33000, Bordeaux, France.
(3)CEA, GIN, IMN, UMR 5293, 33000, Bordeaux, France.
(4)Univ. Bordeaux, IMB, UMR 5251, 33405, Talence, France.
(5)INRIA Bordeaux Sud-Ouest, CQFD, UMR 5251, 33405, Talence, France.
(6)Bordeaux INP, IMB, UMR 5251, 33405, Talence, France.
(7)Univ. Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France.
(8)CNRS, IMN, UMR 5293, 33000, Bordeaux, France.
(9)CEA, GIN, IMN, UMR 5293, 33000, Bordeaux, France.
We herein propose an atlas of 32 sentence-related areas based on a 3-step method
combining the analysis of activation and asymmetry during multiple language tasks
with hierarchical clustering of resting-state connectivity and graph analyses.
144 healthy right-handers performed fMRI runs based on language production,
reading and listening, both with sentences and lists of over-learned words.
Sentence minus word-list BOLD contrast and left-minus-right BOLD asymmetry for
each task were computed in pairs of homotopic regions of interest (hROIs) from
the AICHA atlas. Thirty-two hROIs were identified that were conjointly activated
and leftward asymmetrical in each of the three language contrasts. Analysis of
resting-state temporal correlations of BOLD variations between these 32 hROIs
allowed the segregation of a core network, SENT_CORE including 18 hROIs.
Resting-state graph analysis applied to SENT_CORE hROIs revealed that the pars
triangularis of the inferior frontal gyrus and the superior temporal sulcus were
hubs based on their degree centrality (DC), betweenness, and participation values
corresponding to epicentres of sentence processing. Positive correlations between
DC and BOLD activation values for SENT_CORE hROIs were observed across
individuals and across regions regardless of the task: the more a SENT_CORE area
is connected at rest the stronger it is activated during sentence processing. DC
measurements in SENT_CORE may thus be a valuable index for the evaluation of
inter-individual variations in language areas functional activity in relation to
anatomical or clinical patterns in large populations. SENSAAS (SENtence
Supramodal Areas AtlaS), comprising the 32 supramodal sentence areas, including
SENT_CORE network, can be downloaded at http://www.gin.cnrs.fr/en/tools/ .