Table of Contents

• Simitar: Simplified Searching of Statistically Significant Similarity StructureFrancisco Pereira, Matthew Botvinick. 1-4 [doi]
• Second Order Scattering Descriptors Predict fMRI Activity Due to Visual TexturesMichael Eickenberg, Mehdi Senoussi, Fabian Pedregosa, Alexandre Gramfort, Bertrand Thirion. 5-8 [doi]
• Learning Predictive Cognitive Structure from fMRI Using Supervised Topic ModelsOluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, Russell A. Poldrack. 9-12 [doi]
• Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging DataBilwaj Gaonkar, Aristeidis Sotiras, Christos Davatzikos. 13-16 [doi]
• Identifying Predictive Regions from fMRI with TV-L1 PriorAlexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. 17-20 [doi]
• Robust Group-Level Inference in Neuroimaging Genetic StudiesVirgile Fritsch, Benoit Da Mota, Gaël Varoquaux, Vincent Frouin, Eva Loth, Jean-Baptiste Poline, Bertrand Thirion. 21-24 [doi]
• Anatomically-Constrained PCA for Image ParcellationParamveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants. 25-28 [doi]
• Creating Group-Level Functionally-Defined Atlases for Diagnostic ClassificationFrancisco Pereira, Jennifer M. Walz, Hasan Ertan Çetingül, Sandra Sudarsky, Mariappan S. Nadar, Ruchika Prakash. 29-32 [doi]
• Clustering of High Dimensional Longitudinal Imaging DataSeonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham. 33-36 [doi]
• Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance ImagingRussell T. Shinohara, Ciprian S. Crainiceanu, Brian S. Caffo, Daniel S. Reich. 37-41 [doi]
• Fast Clustering for Interactive Tractography SegmentationEmanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis, Nivedita Agarwal, Paolo Avesani. 42-45 [doi]
• Importance Sampling Spherical Harmonics to Improve Probabilistic TractographyHasan Ertan Çetingül, Laura Dumont, Mariappan S. Nadar, Paul M. Thompson, Guillermo Sapiro, Christophe Lenglet. 46-49 [doi]
• Comparing Structural Brain Connectivity by the Infinite Relational ModelKaren Sando Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup. 50-53 [doi]
• Mining the Hierarchy of Resting-State Brain Networks: Selection of Representative Clusters in a Multiscale StructurePierre Bellec. 54-57 [doi]
• Utility of Partial Correlation for Characterising Brain Dynamics: MVPA-based Assessment of Regularisation and Network SelectionEugene P. Duff, Tamar Makin, Sasidhar Madugula, Stephen M. Smith, Mark William Woolrich. 58-61 [doi]
• Antagonistic Activation Patterns Underlie Multi-functionality of the Right Temporo-Parietal JunctionDanilo Bzdok, Robert Langner, Simon B. Eickhoff, Angela R. Laird, Peter T. Fox. 62-65 [doi]
• Sparse Network-Based Models for Patient Classification Using fMRIMaria J. Rosa, Liana Portugal, John Shawe-Taylor, Janaina Mourão Miranda. 66-69 [doi]
• Two Test Statistics for Cross-Modal Graph Community SignificanceJonas Richiardi, André Altmann, Michael D. Greicius. 70-73 [doi]
• Identifying Network Correlates of Brain States Using Tensor Decompositions of Whole-Brain Dynamic Functional ConnectivityNora Leonardi, Dimitri Van De Ville. 74-77 [doi]
• Randomized Approach to Differential Inference in Multi-subject Functional ConnectivityManjari Narayan, Genevera I. Allen. 78-81 [doi]
• Prediction of Second Neurological Attack in Patients with Clinically Isolated Syndrome Using Support Vector MachinesViktor Wottschel, Olga Ciccarelli, Declan T. Chard, David H. Miller, Daniel C. Alexander. 82-85 [doi]
• Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of EpilepsyWesley T. Kerr, Andrew Y. Cho, Ariana Anderson, Pamela K. Douglas, Edward P. Lau, Eric S. Hwang, Kaavya R. Raman, Aaron Trefler, Mark S. Cohen, Stefan T. Nguyen, Navya M. Reddy, Daniel H. S. Silverman. 86-89 [doi]
• Computer Aided Diagnosis of Intractable Epilepsy with MRI Imaging Based on Textural InformationMeriem El Azami, Alexander Hammers, Nicolas Costes, Carole Lartizien. 90-93 [doi]
• Gender-Specific Effects of Health and Lifestyle Markers on Individual BrainAGEKatja Franke, Michael Ristow, Christian Gaser. 94-97 [doi]
• Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 ClassificationBorbala Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos. 98-101 [doi]
• How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG DataMoritz Grosse-Wentrup, Stefan Harmeling, Thorsten O. Zander, N. Jeremy Hill, Bernhard Schölkopf. 102-105 [doi]
• Sparse Source EEG Imaging with the Variational GarroteSofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen. 106-109 [doi]
• Brain PET Attenuation Correction without CT: An InvestigationManeesh Dewan, Yiqiang Zhan, Gerardo Hermosillo, Bing Jian, Xiang Sean Zhou. 110-113 [doi]
• Detection of Cognitive Impairment in MS Based on an EEG P300 ParadigmJeroen Van Schependom, Mieke D'hooge, Krista Cleynhens, Marie B. D'hooghe, Jacques De Keyser, Guy Nagels. 114-118 [doi]
• Detection of Transient Inter-regional Coupling in fMRI Time Series: A New Method Combining Inter-subjects Synchronization and Cluster-AnalysesCécile Bordier, Emiliano Macaluso. 119-123 [doi]
• Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning ModelsJessica Schrouff, Julien Crémers, Gaëtan Garraux, L. Baldassarre, Janaina Mourão Miranda, Christophe Phillips. 124-127 [doi]
• The Kernel Two-Sample Test vs. Brain DecodingEmanuele Olivetti, Danilo Benozzo, Seyed Mostafa Kia, Marta Ellero, Thomas Hartmann. 128-131 [doi]
• Discrete Cosine Transform for MEG Signal DecodingSeyed Mostafa Kia, Emanuele Olivetti, Paolo Avesani. 132-135 [doi]
• Brain Decoding via Graph KernelsSandro Vega-Pons, Paolo Avesani. 136-139 [doi]
• MVPA Permutation Schemes: Permutation Testing in the Land of Cross-ValidationJoset A. Etzel, Todd S. Braver. 140-143 [doi]
• Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological ScoresFermín Segovia, Christine Bastin, Eric Salmon, Juan Manuel Górriz, Javier Ramírez, Christophe Phillips. 144-147 [doi]
• Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment ResponseAhmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey. 148-151 [doi]
• Discovering Regional Pathological Patterns in Brain MRIAndrea Pulido, Andrea Rueda, Eduardo Romero, Norberto Malpica. 152-156 [doi]
• A Graph-Based Brain Parcellation Method Extracting Sparse NetworksNicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos. 157-160 [doi]
• ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous VariablesTianhao Zhang, Theodore D. Satterthwaite, Christos Davatzikos. 161-164 [doi]
• HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding ModelsFabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort. 165-169 [doi]
• Wrapper Methods to Correct Mislabelled Training DataJonathan Young, John Ashburner, Sébastien Ourselin. 170-173 [doi]
• Descending Variance Graphs for Segmenting Neurological StructuresGeorge D. Stetten, Cindy Wong, Vikas Shivaprabhu, Ada Zhang, Samantha Horvath, Jihang Wang, John M. Galeotti, Vijay Gorantla, Howard Aizenstein. 174-177 [doi]
• BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR ScannerHongjing Xia, Dan Ruan, Mark S. Cohen. 178-181 [doi]
• Semi-spatiotemporal fMRI Brain DecodingMohammad Hadi Kefayati, Hamid Sheikhzadeh, Hamid R. Rabiee, Ali Soltani-Farani. 182-185 [doi]
• Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging DataAnne-Laure Fouque, Clara Fischer, Vincent Frouin, Philippe Ciuciu, Edouard Duchesnay. 186-189 [doi]
• A Comparison of Metrics and Algorithms for Fiber ClusteringViviana Siless, Sergio Medina, Gaël Varoquaux, Bertrand Thirion. 190-193 [doi]
• Fifty Shades of Gray, Matter: Using Bayesian Priors to Improve the Power of Whole-Brain Voxel- and Connexelwise InferencesKrzysztof J. Gorgolewski, Pierre-Louis Bazin, Haakon G. Engen, Daniel S. Margulies. 194-197 [doi]
• Stability-Based Multivariate Mapping Using SCoRSJane Maryam Rondina, John Shawe-Taylor, Janaina Mourão Miranda. 198-202 [doi]
• Quantitative Susceptibility Map Reconstruction via a Total Generalized Variation RegularizationFelipe Yanez, Audrey Fan, Berkin Bilgic, Carlos Milovic, Elfar Adalsteinsson, Pablo Irarrazaval. 203-206 [doi]
• Local-Aggregate Modeling for Multi-subject Neuroimage Data via Distributed OptimizationYue Hu, Genevera I. Allen. 207-210 [doi]
• Hemodynamic Estimation Based on Consensus ClusteringSolveig Badillo, Gaël Varoquaux, Philippe Ciuciu. 211-215 [doi]
• Automatic White Matter Fiber Clustering Using Dominant SetsLuca Dodero, Sebastiano Vascon, Luca Giancardo, Alessandro Gozzi, Diego Sona, Vittorio Murino. 216-219 [doi]
• Using Confusion Matrices to Estimate Mutual Information between Two Categorical MeasurementsDirk B. Walther. 220-224 [doi]
• Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation ApproachesSatrajit S. Ghosh, Anisha Keshavan, Georg Langs. 225-228 [doi]
• Multivariate Classification of Complex and Multi-echo fMRI DataScott Peltier, Douglas C. Noll, Jonathan Lisinski, Stephen LaConte. 229-232 [doi]