M. (2014). Constructing fMRI connectivity networks: a whole brain functional parcella- tion method for node definition. J Neurosci Method, 228:86-99.Maggioni E, Tana MG, Arrigoni F, Zucca C, Bianchi AM. Constructing fMRI connectivity networks: A whole brain functional parcellation method for ...
Cortical regions resulting from the above mapping were transposed into a common functional brain parcellation comprising 333 cortical regions25. This brain parcellation was selected because it has been shown to be a more refined, homogeneous extension of widely used, functionally defined resting state pa...
This challenge manifests itself in rather inconsistent parcellation maps generated by different methods. To address the need for robust methodologies to parcellate the brain, we propose a multimodal cortical parcellation framework based on fused diffusion MRI (dMRI) and fMRI data analysis. We argue ...
While the validation and testing of the proposed predictive signature is highly reliable in terms of generalizability, here we note that the applied brain atlas, while providing full-brain coverage and a generalizable functional parcellation, still introduces a-priori constrains in laterality and precise...
The parcellation of the cortex via its anatomical properties has been an important research endeavor for over a century. To date, however, a universally accepted parcellation scheme for the human brain still remains elusive. In the current review, we explore the use ofin vivodiffusion imaging and...
Whole-brain FC was assessed among 748 nodes from a published functional parcellation (Craddock et al., 2012) (Fig. 1e), in each of the three states (REST, TASK, MOVIE), yielding a 748 × 748 FC matrix for each subject and each state (Fig. 1a). First, the authors performed the ...
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...
The central panel depicts the human brain functional affinity map and the boundaries of the three TPJ subregions. The left panel demonstrates the word clouds derived from the meta-analysis on cognitive function of the left TPJ subregions, and the right panel is for their homotopic positions 在...
Conclusion - The present work has demonstrated and validated both the optimization of known protocols and also novel approaches in basically two directions: 1) an effective cleaning of RS-fMRI data for reliable FC analyses; 2) a more detailed parcellation of the brain and the analysis of the ...
Tracking dynamic brain networks using high temporal resolution meg measures of functional connectivity. PubMed Central Betzel, R. F. & Bassett, D. S. Multi-scale brain networks.160 PubMedGoogle Scholar Wu, Z.et al.Effects of brain parcellation on the characterization of topological deterioration ...