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ORCIDFrontiers in Neuroinformatics, Volume 12
Volume 12, 2018
- Hyemin Han
, Joonsuk Park:
Using SPM 12's Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users. 1 - Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel:
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. 2 - Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen:
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. 3 - Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini:
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization. 4 - Jaeyoung Shin, Jin Uk Kwon, Chang-Hwan Im:
A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State. 5 - Ján Antolík, Andrew P. Davison:
Arkheia: Data Management and Communication for Open Computational Neuroscience. 6 - Naoki Masuda, Michiko Sakaki, Takahiro Ezaki, Takamitsu Watanabe:
Clustering Coefficients for Correlation Networks. 7 - Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. 8 - Jacob Huth, Timothée Masquelier, Angelo Arleo:
Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. 9 - Jason S. Sherfey, Austin E. Soplata, Salva Ardid, Erik A. Roberts, David A. Stanley, Benjamin R. Pittman-Polletta, Nancy J. Kopell:
DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. 10 - Ai-Ling Hsu, Ping Hou, Jason M. Johnson, Changwei W. Wu, Kyle R. Noll, Sujit S. Prabhu, Sherise D. Ferguson, Vinodh A. Kumar, Donald F. Schomer, John D. Hazle, Jyh-Horng Chen, Ho-Ling Liu:
IClinfMRI Software for Integrating Functional MRI Techniques in Presurgical Mapping and Clinical Studies. 11 - Nicolas P. Rougier:
A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds. 12 - Ignacio Arganda-Carreras, Tudor Manoliu, Nicolas Mazuras, Florian Schulze, Juan Eugenio Iglesias, Katja Bühler, Arnim Jenett, François Rouyer, Philippe Andrey:
A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain. 13 - Jason S. Rothman, R. Angus Silver:
NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data. 14 - Hojeong Kim, Minjung Kim:
PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System. 15 - Svenn-Arne Dragly, Milad Hobbi Mobarhan, Mikkel E. Lepperød, Simen Tennøe, Marianne Fyhn, Torkel Hafting, Anders Malthe-Sørenssen:
Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format. 16 - Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu:
A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. 17 - Lealem Mulugeta, Andrew Drach, Ahmet Erdemir, C. Anthony Hunt, Marc Horner, Joy P. Ku, Jerry G. Myers Jr., Rajanikanth Vadigepalli, William W. Lytton:
Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience. 18 - Stavros I. Dimitriadis, Avraam D. Marimpis:
Enhancing Performance and Bit Rates in a Brain-Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs. 19 - Tiina Manninen, Jugoslava Acimovic, Riikka Havela, Heidi Teppola, Marja-Leena Linne:
Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures. 20 - Jens K. Boldsen, Thorbjørn S. Engedal, Salvador Pedraza, Tae-Hee Cho, Götz Thomalla, Norbert Nighoghossian, Jean-Claude Baron, Jens Fiehler, Leif Østergaard, Kim Mouridsen:
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation. 21 - Ruben A. Tikidji-Hamburyan, Vikram K. Narayana, Zeki Bozkus, Tarek A. El-Ghazawi:
Corrigendum: Software for Brain Network Simulations: A Comparative Study. 22 - Dong Wen, Zhenhao Wei, Yanhong Zhou, Guolin Li, Xu Zhang, Wei Han:
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion. 23 - Francisco Naveros, Jesús Alberto Garrido, Richard R. Carrillo, Eduardo Ros, Niceto R. Luque:
Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. 24 - Hao Guo, Yao Li, Yong Xu, Yanyi Jin, Jie Xiang, Junjie Chen:
Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods. 25 - Javaria Ashraf, Jamil Ahmad, Amjad Ali, Zaheer-ul-Haq:
Analyzing the Behavior of Neuronal Pathways in Alzheimer's Disease Using Petri Net Modeling Approach. 26 - Grzegorz M. Wójcik, Jolanta Masiak, Andrzej Kawiak, Piotr Schneider, Lukasz Kwasniewicz, Nikodem Polak, Anna Gajos-Balinska:
New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders. 27 - Anthony L. Vaccarino, Moyez Dharsee, Stephen C. Strother, Don Aldridge, Stephen R. Arnott, Brendan Behan, Costas Dafnas, Fan Dong, Kenneth Edgecombe, Rachad El-Badrawi, Khaled El Emam, Tom Gee, Susan G. Evans, Mojib Javadi, Francis Jeanson, Shannon Lefaivre, Kristen Lutz, F. Chris MacPhee, Jordan Mikkelsen, Tom Mikkelsen, Nicholas Mirotchnick, Tanya Schmah, Christa M. Studzinski, Donald T. Stuss, Elizabeth Theriault, Kenneth R. Evans:
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data. 28 - Luis G. Hernández, Óscar Martínez Mozos, José M. Ferrández, Javier Mauricio Antelis:
EEG-Based Detection of Braking Intention Under Different Car Driving Conditions. 29 - Frederic von Wegner, Helmut Laufs:
Information-Theoretical Analysis of EEG Microstate Sequences in Python. 30 - Guilin Meng, Xiulin Meng, Xiaoye Ma, Gengping Zhang, Xiaolin Hu, Aiping Jin, Yanxin Zhao, Xueyuan Liu:
Application of Ferulic Acid for Alzheimer's Disease: Combination of Text Mining and Experimental Validation. 31 - Christian Nowke, Sandra Diaz-Pier, Benjamin Weyers, Bernd Hentschel, Abigail Morrison, Torsten W. Kuhlen, Alexander Peyser:
Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation. 32 - Soheil Keshmiri, Hidenobu Sumioka, Ryuji Yamazaki, Hiroshi Ishiguro:
Differential Entropy Preserves Variational Information of Near-Infrared Spectroscopy Time Series Associated With Working Memory. 33 - Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel:
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. 34 - Manhua Liu, Danni Cheng, Weiwu Yan, Alzheimer's Disease Neuroimaging Initiative:
Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. 35 - Stephen R. Pfohl, Renaid B. Kim, Grant S. Coan, Cassie S. Mitchell:
Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. 36 - Muhammad Ahmad Kamran, Malik M. Naeem Mannan, Myung Yung Jeong:
Differential Path-Length Factor's Effect on the Characterization of Brain's Hemodynamic Response Function: A Functional Near-Infrared Study. 37 - Nisha A. Viswan, Gubbi Vani HarshaRani, Melanie I. Stefan, Upinder S. Bhalla:
FindSim: A Framework for Integrating Neuronal Data and Signaling Models. 38 - Hosung Kim, Benoît Caldairou, Andrea Bernasconi, Neda Bernasconi:
Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. 39 - Pierre Deman, Manik Bhattacharjee, François Tadel, Anne-Sophie Job, Denis Rivière, Yann Cointepas, Philippe Kahane, Olivier David:
IntrAnat Electrodes: A Free Database and Visualization Software for Intracranial Electroencephalographic Data Processed for Case and Group Studies. 40 - Adam J. H. Newton, Robert A. McDougal, Michael L. Hines, William W. Lytton:
Using NEURON for Reaction-Diffusion Modeling of Extracellular Dynamics. 41 - Si-Baek Seong, Chongwon Pae, Hae-Jeong Park:
Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data. 42 - Elena Navarro, Pascual González, Víctor López-Jaquero, Francisco Montero Simarro, José Pascual Molina, Dulce Romero-Ayuso:
Adaptive, Multisensorial, Physiological and Social: The Next Generation of Telerehabilitation Systems. 43 - Antonio Cerasa, Loris Pignolo, Vera Gramigna, Sebastiano Serra, Giuseppe Olivadese, Federico Rocca, Paolo Perrotta, Giuliano Dolce, Aldo Quattrone, Paolo Tonin:
Exoskeleton-Robot Assisted Therapy in Stroke Patients: A Lesion Mapping Study. 44 - Lucia Rita Quitadamo, Elaine Foley, Roberto Mai, Luca De Palma, Nicola Specchio, Stefano Seri:
EPINETLAB: A Software for Seizure-Onset Zone Identification From Intracranial EEG Signal in Epilepsy. 45 - Robin Pauli, Philipp Weidel, Susanne Kunkel, Abigail Morrison:
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models. 46 - Zbigniew Jedrzejewski-Szmek, Karina P. Abrahao, Joanna Jedrzejewska-Szmek, David M. Lovinger, Kim T. Blackwell:
Parameter Optimization Using Covariance Matrix Adaptation - Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. 47 - Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen:
Spatiotemporal Analysis of Developing Brain Networks. 48 - Simen Tennøe, Geir Halnes, Gaute T. Einevoll:
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience. 49 - Inga Blundell, Dimitri Plotnikov, Jochen M. Eppler, Abigail Morrison:
Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models. 50 - Emi Satake, Kei Majima, Shuntaro C. Aoki, Yukiyasu Kamitani:
Sparse Ordinal Logistic Regression and Its Application to Brain Decoding. 51 - Kaibin Xu, Yong Liu, Yafeng Zhan, Jiaji Ren, Tianzi Jiang:
BRANT: A Versatile and Extendable Resting-State fMRI Toolkit. 52 - Diego Castillo-Barnes, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Juan Manuel Górriz:
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease. 53 - Na Zhao, Li-Xia Yuan, Xi-Ze Jia, Xu-Feng Zhou, Xin-Ping Deng, Hong-Jian He, Jianhui Zhong, Jue Wang, Yufeng Zang:
Intra- and Inter-Scanner Reliability of Voxel-Wise Whole-Brain Analytic Metrics for Resting State fMRI. 54 - Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun:
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. 55 - Li Dong, Cheng Luo, Xiaobo Liu, Sisi Jiang, Fali Li, Hongshuo Feng, Jianfu Li, Diankun Gong, Dezhong Yao:
Neuroscience Information Toolbox: An Open Source Toolbox for EEG-fMRI Multimodal Fusion Analysis. 56 - Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. 57 - Yang Li, Jingyu Liu, Jie Huang, Zuoyong Li, Peipeng Liang:
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification. 58 - Stavros I. Dimitriadis, Lisa M. Brindley, Lisa H. Evans, David E. J. Linden, Krish D. Singh:
A Novel, Fast, Reliable, and Data-Driven Method for Simultaneous Single-Trial Mining and Amplitude - Latency Estimation Based on Proximity Graphs and Network Analysis. 59 - Xia-an Bi, Qin Jiang, Qi Sun, Qing Shu, Yingchao Liu:
Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI. 60 - Hidetoshi Ikeno, Ajayrama Kumaraswamy, Kazuki Kai, Thomas Wachtler, Hiroyuki Ai:
A Segmentation Scheme for Complex Neuronal Arbors and Application to Vibration Sensitive Neurons in the Honeybee Brain. 61 - Kai Qiao, Chi Zhang, Linyuan Wang, Jian Chen, Lei Zeng, Li Tong, Bin Yan:
Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture. 62 - Kaori L. Ito, Amit Kumar, Artemis Zavaliangos-Petropulu, Steven C. Cramer, Sook-Lei Liew:
Pipeline for Analyzing Lesions After Stroke (PALS). 63 - Thomas Funck, Kevin Larcher, Paule-Joanne Toussaint, Alan C. Evans, Alexander Thiel:
APPIAN: Automated Pipeline for PET Image Analysis. 64 - Benjamin Wittevrongel, Elvira Khachatryan, Mansoureh Fahimi Hnazaee, Flavio Camarrone, Evelien Carrette, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle:
Decoding Steady-State Visual Evoked Potentials From Electrocorticography. 65 - Hui-Ling Chan, Po-Chih Kuo, Chia-Yi Cheng, Yong-Sheng Chen:
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition. 66 - Hazem Toutounji, Daniel Durstewitz:
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings. 67 - Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler:
Code Generation in Computational Neuroscience: A Review of Tools and Techniques. 68 - Qiang Zheng, Yihong Wu, Yong Fan:
Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation. 69 - Mayssa Soussia, Islem Rekik:
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis. 70 - Pantea Moghimi, Kelvin O. Lim, Theoden I. Netoff:
Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia. 71 - Denis Volk, Igor Dubinin, Alexandra Myasnikova, Boris S. Gutkin, Vadim V. Nikulin:
Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies. 72 - Grzegorz M. Wójcik, Jolanta Masiak, Andrzej Kawiak, Lukasz Kwasniewicz, Piotr Schneider, Nikodem Polak, Anna Gajos-Balinska:
Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders. 73 - Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos:
Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks. 74 - Johanna Senk, Corto Carde, Espen Hagen, Torsten W. Kuhlen, Markus Diesmann, Benjamin Weyers:
VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output. 75 - Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Mario Martínez-Zarzuela, Miguel Ángel Tola-Arribas, Mónica Cano, Roberto Hornero:
Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics. 76 - David J. Rotenberg, Qing Chang, Natalia Potapova, Andy Wang, Marcia Hon, Marcos Sanches, Nikola Bogetic, Nathan Frias, Tommy Liu, Brendan Behan, Rachad El-Badrawi, Stephen C. Strother, Susan G. Evans, Jordan Mikkelsen, Tom Gee, Fan Dong, Stephen R. Arnott, Shuai Laing, Moyez Dharsee, Anthony L. Vaccarino, Mojib Javadi, Kenneth R. Evans, Damian Jankowicz:
The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation. 77 - Piotr Wierzgala, Dariusz Zapala, Grzegorz M. Wójcik, Jolanta Masiak:
Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis. 78 - Vyacheslav A. Demin, Dmitry V. Nekhaev:
Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity. 79 - Gorka Epelde, Fearghal Morgan, Andoni Mujika, Frank Callaly, Peter Leskovský, Brian McGinley, Roberto Álvarez, Axel W. Blau, Finn Krewer:
Web-Based Interfaces for Virtual C. elegans Neuron Model Definition, Network Configuration, Behavioral Experiment Definition and Experiment Results Visualization. 80 - Guido Trensch, Robin Gutzen, Inga Blundell, Michael Denker, Abigail Morrison:
Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data. 81 - Evgeniy Bart, Jay Hegdé:
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and Training. 82 - Vinit Shah, Eva Von Weltin, Silvia Lopez de Diego, James Riley McHugh, Lillian Veloso, Meysam Golmohammadi, Iyad Obeid, Joseph Picone:
The Temple University Hospital Seizure Detection Corpus. 83 - Csaba Erö, Marc-Oliver Gewaltig, Daniel Keller, Henry Markram:
A Cell Atlas for the Mouse Brain. 84 - Zia Mohaddes, Samir Das, Rida Abou-Haidar, Mouna Safi-Harb, David Blader, Jessica Callegaro, Charlie Henri-Bellemare, Jingla-Fri Tunteng, Leigh Evans, Tara Campbell, Derek Lo, Pierre-Emmanuel Morin, Victor Whitehead, Howard Chertkow, Alan C. Evans:
National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA). 85 - Dominique Duncan, Giuseppe Barisano, Ryan P. Cabeen, Farshid Sepehrband, Rachael Garner, Adebayo Braimah, Paul M. Vespa, Asla Pitkänen, Meng Law, Arthur W. Toga:
Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients. 86 - Srinivas Gorur-Shandilya, Alec Hoyland, Eve Marder:
Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching. 87 - Alice Geminiani, Claudia Casellato, Francesca Locatelli, Francesca Prestori, Alessandra Pedrocchi, Egidio D'Angelo:
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness. 88 - Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. 89 - Robin Gutzen, Michael von Papen, Guido Trensch, Pietro Quaglio, Sonja Grün, Michael Denker:
Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data. 90 - Samir Das, Xavier Lecours-Boucher, Christine Rogers, Carolina Makowski, François Chouinard-Decorte, Kathleen Oros Klein, Natacha Beck, Pierre Rioux, Shawn T. Brown, Zia Mohaddes, Cole Zweber, Victoria Foing, Marie Forest, Kieran J. O'Donnell, Joanne Clark, Michael J. Meaney, Celia M. T. Greenwood, Alan C. Evans:
Integration of "omics" Data and Phenotypic Data Within a Unified Extensible Multimodal Framework. 91 - Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll:
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. 92 - Jing Xiong, Jing Ren, Liqun Luo, Mark Horowitz:
Mapping Histological Slice Sequences to the Allen Mouse Brain Atlas Without 3D Reconstruction. 93 - Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot:
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. 94 - Mengni Zhou, Cheng Tian, Rui Cao, Bin Wang, Yan Niu, Ting Hu, Hao Guo, Jie Xiang:
Epileptic Seizure Detection Based on EEG Signals and CNN. 95 - Muhammad Ahmad Kamran, Malik M. Naeem Mannan, Myung Yung Jeong:
Initial-Dip Existence and Estimation in Relation to DPF and Data Drift. 96 - Robbert L. Harms, Alard Roebroeck:
Robust and Fast Markov Chain Monte Carlo Sampling of Diffusion MRI Microstructure Models. 97 - Akinori Mitani, Takaki Komiyama:
Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact Correction. 98 - Yu-Chi Huang, Cheng-Te Wang, Ta-Shun Su, Kuo-Wei Kao, Yen-Jen Lin, Chao-Chun Chuang, Ann-Shyn Chiang, Chung-Chuan Lo:
A Single-Cell Level and Connectome-Derived Computational Model of the Drosophila Brain. 99 - Nikolai Smetanin, Ksenia Volkova, Stanislav Zabodaev, Mikhail A. Lebedev, Alexei Ossadtchi:
NFBLab - A Versatile Software for Neurofeedback and Brain-Computer Interface Research. 100 - Ilaria Boscolo Galazzo, Silvia Francesca Storti, Anna Barnes, Bianca De Blasi, Enrico De Vita, Matthias J. Koepp, John S. Duncan, Ashley Groves, Francesca Benedetta Pizzini, Gloria Menegaz, Francesco Fraioli:
Arterial Spin Labeling Reveals Disrupted Brain Networks and Functional Connectivity in Drug-Resistant Temporal Epilepsy. 101 - Premika S. W. Boedhoe, Martijn W. Heymans, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Alan Anticevic, Paul D. Arnold, Marcelo C. Batistuzzo, Francesco Benedetti, Jan Carl Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo, Yuqi Cheng, Kang Ik Kevin Cho, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Jamie D. Feusner, Kate Dimond Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, Patricia Gruner, Gregory L. Hanna, Derrek P. Hibar, Marcelo Queiroz Hoexter, Hao Hu, Chaim Huyser, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Jun Soo Kwon, Luisa Lazaro, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José Manuel Menchón, Luciano Minuzzi, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Seiji Nishida, Erika L. Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras, Federica Piras, Y. C. Janardhan Reddy, Tim Jonas Reess, Yuki Sakai, João R. Sato, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Michael C. Stevens, Philip R. Szeszko, David F. Tolin, Guido A. van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Je-Yeon Yun, ENIGMA-OCD Working-Group, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Jos W. R. Twisk:
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. 102
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