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Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity [chapter]

Chendi Wang, Burak Yoldemir, Rafeef Abugharbieh
2015 Lecture Notes in Computer Science  
Results demonstrate that our proposed method better delineates spatially contiguous parcels with higher test-retest reliability and improves inter-subject consistency.  ...  To validate, we compare parcellations obtained via normalized cuts on unimodal vs. multimodal data from the Human Connectome Project.  ...  Inter-Subject Consistency: We adopted the leave-one-out cross-validation approach to assess inter-subject consistency.  ... 
doi:10.1007/978-3-319-24574-4_3 fatcat:hdkvurvhxfcplhmoavopphkyla

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion [article]

Ru Kong, Jingwei Li, Csaba Orban, Mert Rory Sabuncu, Hesheng Liu, Alexander Schaefer, Nanbo Sun, Xi-Nian Zuo, Avram Holmes, Simon B. Eickhoff, B.T. Thomas Yeo
2017 bioRxiv   pre-print
The multiple layers of the MS-HBM explicitly differentiate intra-subject (within-subject) from inter-subject (between-subject) network variability.  ...  By ignoring intra-subject variability, previous network mappings might confuse intra-subject variability for inter-subject differences.  ...  from the training set, we estimate for each subject in the validation set, the individual-specific parcellation based on a subset of rs-fMRI sessions (see Section S2.2 for algorithm).  ... 
doi:10.1101/213041 fatcat:tirpj3trb5b65heyvrerffvkpa

BAI-Net: Individualized Human Cerebral Cartography using Graph Convolutional Network [article]

Liang Ma, Yu Zhang, Hantian Zhang, Luqi Cheng, Junjie Zhuo, Weiyang Shi, Yuheng Lu, Wen Li, Jiaojian Wang, Zhengyi Yang, Lingzhong Fan, Tianzi Jiang
2021 bioRxiv   pre-print
Given the reliable inter-subject variabilities from BAI-Net parcellation, their functional connectome showed higher associations with individual behavioral scores in a cognitive battery, compared to the  ...  But many challenges remain, mainly due to large cross-subject variations in brain morphology, connectivity, and function.  ...  Large inter-subject variations were detected in the parcellations of different subjects.  ... 
doi:10.1101/2021.07.15.452577 fatcat:d7hvdpujtbayxkfpcnungsdk7e

Parcellating cortical functional networks in individuals

Danhong Wang, Randy L Buckner, Michael D Fox, Daphne J Holt, Avram J Holmes, Sophia Stoecklein, Georg Langs, Ruiqi Pan, Tianyi Qian, Kuncheng Li, Justin T Baker, Steven M Stufflebeam (+4 others)
2015 Nature Neuroscience  
The intra-subject consistency of network membership was significantly higher than the inter-subject consistency (unpaired two-tailed t-test, p<0.001).  ...  Quantitative analyses of intra-subject reliability and inter-subject variability based on the HCP subjects.  ... 
doi:10.1038/nn.4164 pmid:26551545 pmcid:PMC4661084 fatcat:pktkdtzigvfn7fnn2gdvyhyuxq

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion

Ru Kong, Jingwei Li, Csaba Orban, Mert R Sabuncu, Hesheng Liu, Alexander Schaefer, Nanbo Sun, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, B T Thomas Yeo
2018 Cerebral Cortex  
The multiple layers of the MS-HBM explicitly differentiate intra-subject (within-subject) from inter-subject (between-subject) network variability.  ...  By ignoring intra-subject variability, previous network mappings might confuse intra-subject variability for inter-subject differences.  ...  Conflict of Interest: None declared  ... 
doi:10.1093/cercor/bhy123 pmid:29878084 fatcat:jjjt6efx7jb5pduc7bl72sz45a

Improved functional cortical parcellation using a neighborhood-information-embedded affinity matrix

Chendi Wang, Burak Yoldemir, Rafeef Abugharbieh
2015 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)  
and improved inter-subject consistency.  ...  Cortical parcellation of the human brain typically serves as a basis for higher-level analyses such as connectivity analysis and investigation of brain network properties.  ...  Inter-subject consistency We adopted a leave-one-out cross-validation approach to assess inter-subject consistency.  ... 
doi:10.1109/isbi.2015.7164123 dblp:conf/isbi/WangYA15 fatcat:vjjwcwjt5bgmdiwlspqdy2n6qm

ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation

Hai Li, Lingzhong Fan, Junjie Zhuo, Jiaojian Wang, Yu Zhang, Zhengyi Yang, Tianzi Jiang
2017 Frontiers in Neuroinformatics  
The Brainnetome Atlas published recently is such an atlas that follows the framework of connectivity-based parcellation.  ...  Among them, connectivity-based parcellation gains much emphasis, especially with the considerable progress of multimodal magnetic resonance imaging in the past two decades.  ...  This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 91132301, 31620103905, 81501179) ACKNOWLEDGMENTS The authors thank all of developers of FSL, SPM, SGE  ... 
doi:10.3389/fninf.2017.00035 pmid:28611620 pmcid:PMC5447055 fatcat:6r547je3fvhxhcpeonuxmfxtbu

Using Connectomics for Predictive Assessment of Brain Parcellations

Kristoffer J. Albers, Karen S. Ambrosen, Matthew G. Liptrot, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mø rup
2021 NeuroImage  
Herein, we assess the pertinence and comparative ranking of ten existing parcellation atlases to account for functional (FC) and structural connectivity (SC) data based on data from the Human Connectome  ...  matched to that of a valid atlas.  ...  We would like to thank the authors of [Arslan et al., 2018] for making the parcellations considered easy accessible 1225 and providing visualizing code, as utilized in figure 2 , available at  ... 
doi:10.1016/j.neuroimage.2021.118170 pmid:34087365 fatcat:w2g7wnk5qffldjncrqy33tolom

Group-wise parcellation of the cortex through multi-scale spectral clustering

Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells, Daniel Rueckert
2016 NeuroImage  
Functional and di↵usion magnetic resonance imaging allow in vivo mapping of brain's connectivity and the parcellation of the brain based on local connectivity information.  ...  Promising quantitative and qualitative results in terms of information loss, modality comparisons, group consistency and inter-group similarities demonstrate the potential of the method.  ...  intra-group consistency (obtained from a group-wise parcellation) and the inter-group consistency (obtained from single subject parcellations).  ... 
doi:10.1016/j.neuroimage.2016.05.035 pmid:27192437 pmcid:PMC5382871 fatcat:bmdl5fmhebd4bhxwqwsigudrsi

A supervised clustering approach for fMRI-based inference of brain states

Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, Bertrand Thirion
2012 Pattern Recognition  
We then prune the tree in a supervised setting, hence the name supervised clustering, in order to extract a parcellation (division of the volume) such that parcel-based signal averages best predict the  ...  By introducing a hierarchical clustering of the brain volume that incorporates connectivity constraints, we reduce the span of the possible spatial configurations to a single tree of nested regions tailored  ...  results of the inter-subjects analysis are given in Tab.1.  ... 
doi:10.1016/j.patcog.2011.04.006 fatcat:iynzxhmw7vbdfczhlrz5xvfuyq

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior [article]

Ru Kong, Qing Yang, Evan Gordon, Aihuiping Xue, Xiaoxuan Yan, Csaba Orban, Xi-Nian Zuo, Nathan Spreng, Tian Ge, Avram Holmes, Simon Eickhoff, B.T.Thomas Yeo
2021 bioRxiv   pre-print
Resting-state functional connectivity (RSFC) derived from MS-HBM parcellations also achieved the best behavioral prediction performance.  ...  Individual-specific MS-HBM parcellations estimated using 10min of data generalized better than other approaches using 150min of data to out-of-sample rs-fMRI and task-fMRI from the same individuals.  ...  group-level parcel connectivity profiles , the inter-subject functional connectivity variability , the intra-subject functional connectivity variability , the spatial smoothness prior and the inter-subject  ... 
doi:10.1101/2021.01.16.426943 fatcat:zucd3ruusvctte6m6bzzmjzc5i

An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks

Mehraveh Salehi, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable
2018 NeuroImage  
Using this parcellation technique, we successfully established a cross-validated predictive model that predicts individuals' sex, solely based on the parcellation schemes (i.e. the node-to-network assignment  ...  Recent work with functional connectivity data has led to significant progress in understanding the functional organization of the brain.  ...  At the individual-level, regions of high variability in parcellations overlap with known regions of high inter-individual variability in functional connectivity and parcellation.  ... 
doi:10.1016/j.neuroimage.2017.08.068 pmid:28882628 pmcid:PMC5905726 fatcat:5azd3pa2yndadins2tox5uy6ae

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface [chapter]

Gang Li, Li Wang, Weili Lin, Dinggang Shen
2017 Lecture Notes in Computer Science  
Moreover, given the remarkable inter-subject variability in terms of cortical structure/function and their developmental patterns, the individualized cortical parcellation based on each infant's own developmental  ...  Specifically, to alleviate the effects of cortical measurement errors and also make the individualized cortical parcellation comparable across subjects, we first create a population-based cortical parcellation  ...  Of note, the number of regions is set as 12, to be consistent with both the development-based cortical parcellation [9] and the genetic information-based cortical parcellation [10] .  ... 
doi:10.1007/978-3-319-66182-7_8 pmid:29124254 pmcid:PMC5674530 fatcat:qkus3iog7vds5phtuzobjaquaq

Graph-Based Inter-Subject Pattern Analysis of fMRI Data

Sylvain Takerkart, Guillaume Auzias, Bertrand Thirion, Liva Ralaivola, Daniele Marinazzo
2014 PLoS ONE  
Our results show that our framework produces accurate inter-subject predictions and that it outperforms a wide range of stateof-the-art vector-and parcel-based classification methods.  ...  Here we introduce a novel classification framework based on group-invariant graphical representations, allowing to overcome the inter-subject variability present in functional magnetic resonance imaging  ...  We perform a leave-one-subject-out cross-validation and look at the average classification accuracy across folds, which is a natural strategy to measure the performance of an inter-subject classification  ... 
doi:10.1371/journal.pone.0104586 pmid:25127129 pmcid:PMC4134217 fatcat:esoo6tcgljbhfcy6laacftrzru

Micapipe: A Pipeline for Multimodal Neuroimaging and Connectome Analysis [article]

Raúl R. Cruces, Jessica Royer, Peer Herholz, Sara Larivière, Reinder Vos de Wael, Casey Paquola, Oualid Benkarim, Bo-yong Park, Janie Degré-Pelletier, Mark Nelson, Jordan DeKraker, Christine Tardif (+3 others)
2022 bioRxiv   pre-print
We hope that micapipe will foster robust and integrative studies of human brain microstructure, morphology, and connectivity.  ...  AbstractMultimodal magnetic resonance imaging (MRI) has accelerated human neuroscience by fostering the analysis of brain structure, function, and connectivity across multiple scales and in living brains  ...  Inter-subject consistency We assessed inter-subject consistency at the level of the first eigenvector/gradient of each matrix, matrix edges, and three widely graph theoretical measures (node strength,  ... 
doi:10.1101/2022.01.31.478189 fatcat:m7g5ss3sxrbmxmxctsrk76nfb4
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