Abstract is missing.
- Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP DataRicardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana. 1-4 [doi]
- Modeling Voxel Connectivity for Brain DecodingItir Önal, Mete Ozay, Fatos T. Yarman-Vural. 5-8 [doi]
- Mind the Noise Covariance When Localizing Brain Sources with M/EEGDenis A. Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort. 9-12 [doi]
- Tractography Mapping for Dissimilarity Space across SubjectsPaolo Avesani, Thien Bao Nguyen, Nivedita Agarwal, Mark Bromberg, Lubdha Shah, Emanuele Olivetti. 13-16 [doi]
- Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-ScreeningElvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. 17-20 [doi]
- MEG/EEG Source Imaging with a Non-Convex Penalty in the Time-Frequency DomainDaniel Strohmeier, Alexandre Gramfort, Jens Haueisen. 21-24 [doi]
- Multivariate Effect Ranking via Adaptive Sparse PLSJoao M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda. 25-28 [doi]
- Joint Feature Extraction from Functional Connectivity Graphs with Multi-task Feature LearningAndré Altmann, Bernard Ng. 29-32 [doi]
- Fusing Simultaneous EEG and fMRI Using Functional and Anatomical InformationSofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dähne. 33-36 [doi]
- Testing Multimodal Integration Hypotheses with Application to Schizophrenia DataMartin C. Axelsen, Nikolaj Bak, Lars Kai Hansen. 37-40 [doi]
- Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic ModelYuhong Li, Qi Dou, Jinze Yu, Fucang Jia, Jing Qin, Pheng-Ann Heng. 41-44 [doi]
- Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI ClassificationTingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang. 45-48 [doi]
- Kernel Convolution Model for Decoding Sounds from Time-Varying Neural ResponsesAli Faisal, Anni Nora, Jaeho Seol, Hanna Renvall, Riitta Salmelin. 49-52 [doi]
- Population Inference for Node Level Differences in Multi-subject Functional ConnectivityManjari Narayan, Genevera I. Allen. 53-56 [doi]
- Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI DataAina Frau-Pascual, Florence Forbes, Philippe Ciuciu. 57-60 [doi]
- A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging ModelsAnil Rao, Joao M. Monteiro, John Ashburner, Liana Portugal, Orlando Fernandes, Leticia de Oliveira, Mirtes Pereira, Janaina Mourão Miranda. 61-64 [doi]
- MVPA Permutation Schemes: Permutation Testing for the Group LevelJoset A. Etzel. 65-68 [doi]
- A Bayesian Test for Comparing Classifier ErrorsEmanuele Olivetti, Dirk B. Walther. 69-72 [doi]
- Improving Sparse Recovery on Structured Images with Bagged ClusteringAndres Hoyos Idrobo, Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion. 73-76 [doi]
- Bolstering Heuristics for Statistical Validation of Prediction AlgorithmsAlex F. Mendelson, Maria A. Zuluaga, Brian F. Hutton, Sébastien Ourselin. 77-80 [doi]
- Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental ConditionsJessica Schrouff, C. Phillips, Josef Parvizi, Janaina Mourão Miranda. 81-84 [doi]
- Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical DataV. Kebets, Jonas Richiardi, M. van Assche, R. Goldstein, M. van der Meulen, Patrik Vuilleumier, Dimitri Van De Ville, F. Assal. 85-88 [doi]
- Hidden Markov Models for Reading Words from the Human BrainSanne Schoenmakers, Tom Heskes, Marcel van Gerven. 89-92 [doi]
- Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network ConnectivityAki Nikolaidis, Drew Goatz, Paris Smaragdis, Arthur Kramer. 93-96 [doi]