MarsAtlas: A cortical parcellation atlas for functional mapping

被引:50
作者
Auzias, Guillaume [1 ,2 ]
Coulon, Olivier [1 ,2 ]
Brovelli, Andrea [1 ]
机构
[1] Aix Marseille Univ, CNRS, Inst Neurosci Timone, UMR 7289, Campus Sante Timone,27 Bd Jean Moulin, F-13385 Marseille, France
[2] Aix Marseille Univ, CNRS, Lab Sci Informat & Syst, UMR 7296, F-13385 Marseille, France
关键词
human brain atlas; cortical parcellation; cortical parameterization; dorsoventral and rostrocaudal axes; MEG; visuomotor behaviors; gammaband neural activity; functional segregation; DEEP SULCAL LANDMARKS; FREQUENCY GAMMA-OSCILLATIONS; HUMAN CEREBRAL-CORTEX; PARIETAL CORTEX; BOLD FMRI; CONNECTIVITY; DYNAMICS; SURFACE; EEG; MRI;
D O I
10.1002/hbm.23121
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
An open question in neuroimaging is how to develop anatomical brain atlases for the analysis of functional data. Here, we present a cortical parcellation model based on macroanatomical information and test its validity on visuomotor-related cortical functional networks. The parcellation model is based on a recently developed cortical parameterization method (Auzias et al., [2013]: IEEE Trans Med Imaging 32:873-887), called HIP-HOP. This method exploits a set of primary and secondary sulci to create an orthogonal coordinate system on the cortical surface. A natural parcellation scheme arises from the axes of the HIP-HOP model running along the fundus of selected sulci. The resulting parcellation scheme, called MarsAtlas, complies with dorsoventral/rostrocaudal direction fields and allows inter-subject matching. To test it for functional mapping, we analyzed a MEG dataset collected from human participants performing an arbitrary visuomotor mapping task. Single-trial high-gamma activity, HGA (60-120 Hz), was estimated using spectral analysis and beamforming techniques at cortical areas arising from a Talairach atlas (i.e., Brodmann areas) and MarsAtlas. Using both atlases, we confirmed that visuomotor associations involve an increase in HGA over the sensorimotor and fronto-parietal network, in addition to medial prefrontal areas. However, MarsAtlas provided: (1) crucial functional information along both the dorsolateral and rostrocaudal direction; (2) an increase in statistical significance. To conclude, our results suggest that the MarsAtlas is a valid anatomical atlas for functional mapping, and represents a potential anatomical framework for integration of functional data arising from multiple techniques such as MEG, intracranial EEG and fMRI. Hum Brain Mapp 37:1573-1592, 2016. (c) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:1573 / 1592
页数:20
相关论文
共 97 条
[1]   Efficiency and cost of economical brain functional networks [J].
Achard, Sophie ;
Bullmore, Edward T. .
PLOS COMPUTATIONAL BIOLOGY, 2007, 3 (02) :174-183
[2]   Neuroimaging Evidence of the Anatomo-Functional Organization of the Human Cingulate Motor Areas [J].
Amiez, Celine ;
Petrides, Michael .
CEREBRAL CORTEX, 2014, 24 (03) :563-578
[3]   Meeting of minds: the medial frontal cortex and social cognition [J].
Amodio, DM ;
Frith, CD .
NATURE REVIEWS NEUROSCIENCE, 2006, 7 (04) :268-277
[4]   Cyto architecture of the cerebral cortex - More than localization [J].
Amunts, K. ;
Schleicher, A. ;
Zilles, K. .
NEUROIMAGE, 2007, 37 (04) :1061-1065
[5]  
[Anonymous], 1985, CEREBRAL CORTEX ASS, DOI DOI 10.1007/978-1-4757-9619-3_1
[6]  
[Anonymous], 1888, MEMOIRES ANTHR
[7]  
[Anonymous], 1974, Pattern recognition principles
[8]   Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia [J].
Anticevic, Alan ;
Dierker, Donna L. ;
Gillespie, Sarah K. ;
Repovs, Grega ;
Csernansky, John G. ;
Van Essen, David C. ;
Barch, Deanna M. .
NEUROIMAGE, 2008, 41 (03) :835-848
[9]   Deep sulcal landmarks: Algorithmic and conceptual improvements in the definition and extraction of sulcal pits [J].
Auzias, G. ;
Brun, L. ;
Deruelle, C. ;
Coulon, O. .
NEUROIMAGE, 2015, 111 :12-25
[10]   Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP [J].
Auzias, G. ;
Lefevre, J. ;
Le Troter, A. ;
Fischer, C. ;
Perrot, M. ;
Regis, J. ;
Coulon, O. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2013, 32 (05) :873-887