title: Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction.
abstract: Segregating the human cortex into distinct areas based on structural connectivity criteria is of widespread interest in neuroscience. This paper presents a groupwise connectivity-based parcellation framework for the whole cortical surface using a new high quality diffusion dataset of 79 healthy subjects. Our approach performs gyrus by gyrus to parcellate the whole human cortex. The main originality of the method is to compress for each gyrus the connectivity profiles used for the clustering without any anatomical prior information. This step takes into account the interindividual cortical and connectivity variability. To this end, we consider intersubject high density connectivity areas extracted using a surface-based watershed algorithm. A wide validation study has led to a fully automatic pipeline which is robust to variations in data preprocessing (tracking type, cortical mesh characteristics and boundaries of initial gyri), data characteristics (including number of subjects), and the main algorithmic parameters. A remarkable reproducibility is achieved in parcellation results for the whole cortex, leading to clear and stable cortical patterns. This reproducibility has been tested across non-overlapping subgroups and the validation is presented mainly on the pre- and postcentral gyri.
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France; CATI, Multicenter Neuroimaging Platform, Paris, France. Electronic address: sandrine.lefranc@cea.fr.
authors: Sandrine
authors: S
authors: Lefranc
authors: Department of Neuroimaging, Sainte-Anne Hospital Center, Université Paris Descartes Sorbonne Paris Cité, Center for Psychiatry & Neurosciences, UMR 894 INSERM, Paris, France.
authors: Pauline
authors: P
authors: Roca
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France; CATI, Multicenter Neuroimaging Platform, Paris, France.
authors: Matthieu
authors: M
authors: Perrot
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France; CATI, Multicenter Neuroimaging Platform, Paris, France.
authors: Cyril
authors: C
authors: Poupon
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France.
authors: Denis
authors: D
authors: Le Bihan
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France; CATI, Multicenter Neuroimaging Platform, Paris, France.
authors: Jean-François
authors: JF
authors: Mangin
authors: NeuroSpin, CEA, I(2)BM, Gif sur Yvette, France; CATI, Multicenter Neuroimaging Platform, Paris, France.
authors: Denis
authors: D
authors: Rivière
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D063132:Connectome / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D009415:Nerve Net / Q000033:anatomy & histology; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D066127:White Matter / Q000033:anatomy & histology*; D055815:Young Adult
keywords: Clustering; Connectome; Diffusion tensor imaging; Structural connectivity