RT Journal Article
SR Electronic
T1 A Sentence Supramodal Areas Atlas (Sensaas) Based on Multiple Task-Induced Activation Mapping and Graph Analysis of Intrinsic Connectivity in 144 Healthy Right-Handers
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 273227
DO 10.1101/273227
A1 L Labache
A1 M Joliot
A1 J Saracco
A1 G Jobard
A1 I Hesling
A1 L Zago
A1 E Mellet
A1 L Petit
A1 F Crivello
A1 B Mazoyer
A1 N Tzourio-Mazoyer
YR 2018
UL http://biorxiv.org/content/early/2018/11/09/273227.abstract
AB 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 3 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, 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/.