dblp: Neuroinformatics, Volume 22 (original) (raw)



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Volume 22, Number 1, January 2024

John Darrell Van Horn
:
Editorial: On the Economics of Neuroscientific Data Sharing. 1-4

Freya Acar, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck
, Beatrijs Moerkerke:
Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations. 5-22

Nestor Timonidis
, Mario Rubio-Teves, Carmen Alonso-Martínez
, Rembrandt Bakker, María García-Amado, Paul H. E. Tiesinga, Francisco Clascá
:
Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space. 23-43

Michael J. Catanzaro, Sam Rizzo, John J. Kopchick, Asadur Chowdury, David R. Rosenberg, Peter Bubenik
, Vaibhav A. Diwadkar:
Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence. 45-62

Thomas L. Athey, Daniel Jacob Tward, Ulrich Mueller, Laurent Younes
, Joshua T. Vogelstein, Michael I. Miller:
Preserving Derivative Information while Transforming Neuronal Curves. 63-74

David Aquilué-Llorens, Jennifer S. Goldman, Alain Destexhe
:
High-Density Exploration of Activity States in a Multi-Area Brain Model. 75-87

Sina Fathi, Ali Ahmadi
, Afsaneh Dehnad, Mostafa Almasi-Dooghaee
, Melika Sadegh:
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer's Disease using MRI Images. 89-105
Volume 22, Number 2, April 2024

Govinda R. Poudel
, Prabin Sharma, Valentina Lorenzetti, Nicholas Parsons
, Ester Cerin
:
Network Representation of fMRI Data Using Visibility Graphs: The Impact of Motion and Test-Retest Reliability. 107-118

Jose Ramon Chang
, Zai-Fu Yao
, Shulan Hsieh
, Torbjörn E. M. Nordling
:
Age Prediction Using Resting-State Functional MRI. 119-134

Elizabeth McManus, Nils Muhlert, Niall W. Duncan
:
InSpectro-Gadget: A Tool for Estimating Neurotransmitter and Neuromodulator Receptor Distributions for MRS Voxels. 135-145

Ryan Faulkenberry
, Saurabh Prasad, Dragan Maric, Badrinath Roysam:
Visual Prompting Based Incremental Learning for Semantic Segmentation of Multiplex Immuno-Flourescence Microscopy Imagery. 147-162

Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Thomas Maullin-Sapey
, Thomas E. Nichols
, Vince D. Calhoun
:
Decentralized Mixed Effects Modeling in COINSTAC. 163-175

Lanya T. Cai
, Joseph Y. Moon, Paul B. Camacho
, Aaron T. Anderson
, Won Jong Chwa, Bradley P. Sutton, Amy J. Markowitz, Eva M. Palacios, Alexis A. Rodriguez, Geoffrey T. Manley, Shivsundaram Shankar, Peer-Timo Bremer, Pratik Mukherjee, Ravi K. Madduri, Shankar Gopinath, Ramesh Grandhi, C. Dirk Keene, Michael A. McCrea, Randall Merchant, Laura B. Ngwenya, Ava M. Puccio, David Schnyer, Sabrina R. Taylor
, John K. Yue
, Esther L. Yuh, Ross Zafonte:
MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline. 177-191

Praitayini Kanakaraj, Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Kimberly R. Pechman, Derek B. Archer
, Timothy J. Hohman
, Angela L. Jefferson, Lori L. Beason-Held, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer:
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. 193-205

Christopher L. Adamson
, Bonnie Alexander
, Claire E. Kelly
, Gareth Ball
, Richard Beare
, Jeanie L. Y. Cheong
, Alicia J. Spittle
, Lex W. Doyle
, Peter J. Anderson
, Marc L. Seal
, Deanne K. Thompson
:
Updates to the Melbourne Children's Regional Infant Brain Software Package (M-CRIB-S). 207-223
Volume 22, Number 3, July 2024

Campbell Coleman
, John Darrell Van Horn:
Towards Comprehensive Connectivity Modeling. 225-227

Alexander Bartnik, Sujal Singh, Conan Sum, Mackenzie T. Smith, Niels Bergsland, Robert Zivadinov, Michael G. Dwyer:
An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets. 229-238

Homa Seyedmirzaei, Amirhossein Salmannezhad
, Hamidreza Ashayeri
, Ali Shushtari
, Bita Farazinia, Mohammad Mahdi Heidari
, Amirali Momayezi, Sara Shaki Baher:
Growth-Associated Protein 43 and Tensor-Based Morphometry Indices in Mild Cognitive Impairment. 239-250

Nicolas Rault
, Tido Bergmans
, Natasja Delfstra, Bisley J. Kleijnen, Fleur Zeldenrust
, Tansu Celikel
:
Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System. 251-268

Alexander Bartnik, Lucas M. Serra, Mackenzie T. Smith, William D. Duncan, Lauren Wishnie, Alan Ruttenberg, Michael G. Dwyer, Alexander D. Diehl:
MRIO: the Magnetic Resonance Imaging Acquisition and Analysis Ontology. 269-283

Hao Wang, Yanting Liu, Yanrui Ding:
Identifying Diagnostic Biomarkers for Autism Spectrum Disorder From Higher-order Interactions Using the PED Algorithm. 285-296

Harsh Sinha
, Pradeep Reddy Raamana
:
Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA. 297-315

André S. B. Oliveira, Luciano C. P. C. Leonel, Megan M. J. Bauman, Alessandro De Bonis, Edward R. LaHood, Stephen Graepel, Michael J. Link, Carlos D. Pinheiro-Neto, Nirusha Lachman, Jonathan M. Morris, Maria Peris-Celda:
Photogrammetry scans for neuroanatomy education - a new multi-camera system: technical note. 317-327

Sander M. Boelders
, Wouter De Baene, Eric O. Postma
, Karin Gehring
, Lee-Ling Sharon Ong
:
Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space. 329-352

Jéssica Leite, Fabiano Nhoatto, Antonio Jacob Jr., Roberto Santana, Fábio Manoel França Lobato
:
Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review. 353-377

Nikolay Aseyev
, Anastasia Borodinova, Svetlana Pavlova
, Marina Roshchina, Matvey Roshchin, Evgeny S. Nikitin, Pavel M. Balaban:
CADENCE - Neuroinformatics Tool for Supervised Calcium Events Detection. 379-387

Ahmed Nebli, Christian Schiffer, Meiqi Niu, Nicola Palomero-Gallagher, Katrin Amunts, Timo Dickscheid
:
Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain. 389-402
Volume 22, Number 4, October 2024
Special Issue on Data Science Methods and Neuroinformatics Applications / Special Issue on Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions / Special Issue on Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers

Ivo D. Dinov
:
Neuroinformatics Applications of Data Science and Artificial Intelligence. 403-405

Bahram Jafrasteh
, Manuel Lubián-Gutiérrez, Simón Pedro Lubián-López, Isabel Benavente-Fernández:
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images. 407-420

Qiu Ge, Matthew Lock, Xue Yang, Yuejiao Ding, Juan Yue, Na Zhao, Yun-Song Hu
, Yong Zhang, Minliang Yao, Yufeng Zang
:
Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T. 421-435

Rongke Lyu, Marina Vannucci, Suprateek Kundu
:
Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease. 437-455

Sharmistha Guha, Jose Rodriguez-Acosta, Ivo D. Dinov
:
A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control. 457-472

Ofek Ophir, Orit Shefi, Ofir Lindenbaum
:
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice. 473-486

Gabriel R. Palma, Conor Thornberry
, Sean Commins, Rafael A. Moral:
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models. 487-497

Ashima Tyagi, Vibhav Prakash Singh
, Manoj Madhava Gore:
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning. 499-520

Elham Ahmadi Moghadam, Farhad Abedinzadeh Torghabeh
, Seyyed Abed Hosseini
, Mohammad Hossein Moattar:
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value. 521-537

Heitor Mynssen
, Kamilla Avelino-de-Souza
, Khallil Taverna Chaim
, Vanessa Lanes Ribeiro
, Nina Patzke
, Bruno Mota
:
Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains. 539-554

Wentao Jiang, Xinyi Liu, Ming Song, Zhengyi Yang, Lan Sun, Tianzi Jiang:
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies. 555-568

Andrei Irimia:
Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions. 569-572

Xiaojian Kang
, Byung C. Yoon
, Emily Grossner, Maheen M. Adamson:
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study. 573-589

Kevin H. Guo
, Nikhil N. Chaudhari, Tamara Jafar
, Nahian F. Chowdhury, Paul Bogdan, Andrei Irimia:
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury. 591-606

Rachel M. Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn:
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics? 607-618

Mathew Birdsall Abrams, John Darrell Van Horn:
Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers. 619-622

Jessica Royer, Casey Paquola, Sofie L. Valk, Matthias Kirschner, Seok-Jun Hong, Bo-yong Park, Richard A. I. Bethlehem, Robert Leech, B. T. Thomas Yeo
, Elizabeth Jefferies, Jonathan Smallwood, Daniel S. Margulies, Boris C. Bernhardt:
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community. 623-634

Michal Szczepanik
, Adina S. Wagner, Stephan Heunis, Laura K. Waite, Simon B. Eickhoff, Michael Hanke:
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort. 635-645

Ariel Rokem, Noah C. Benson:
Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy. 647-655

Alice Geminiani
, Judith Kathrein
, Alper Yegenoglu
, Franziska Vogel, Marcelo Armendáriz
, Ziv Ben-Zion
, Petrut Antoniu Bogdan
, Joana Covelo
, Marissa Díaz Pier
, Karin Grasenick
, Vitali Karasenko, Wouter Klijn
, Tina Kokan
, Carmen Alina Lupascu
, Anna Lührs
, Tara Mahfoud
, Taylan Özden
, Jens Egholm Pedersen
, Luca Peres
, Ingrid Reiten
, Nikola Simidjievski
, Inga Ulnicane
, Michiel van der Vlag
, Lyuba Zehl
, Alois Saria, Sandra Diaz-Pier
, Johannes Passecker
:
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. 657-678

Joshua K. Marchant, Natalie G. Ferris, Diana Grass
, Magdelena S. Allen, Vivek Gopalakrishnan, Mark D. Olchanyi, Devang Sehgal, Maxina Sheft, Amelia Strom, Berkin Bilgic, Brian L. Edlow, Elizabeth M. C. Hillman
, Meher R. Juttukonda, Laura Lewis, Shahin Nasr, Aapo Nummenmaa, Jonathan R. Polimeni
, Roger B. H. Tootell, Lawrence L. Wald, Hui Wang, Anastasia Yendiki, Susie Yi Huang, Bruce R. Rosen, Randy L. Gollub:
Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review. 679-706

Simon H. Geukes
, Mariana P. Branco
, Erik J. Aarnoutse
, Annike Bekius
, Julia Berezutskaya
, Nick F. Ramsey
:
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex. 707-717

Roman Peter, Petr Hrobar, Josef Navratil, Martin Vagenknecht, Jindrich Soukup, Keiko Tsuji
, Nestor X. Barrezueta, Anna C. Stoll
, Renee C. Gentzel
, Jonathan A. Sugam, Jacob Marcus, Danny A. Bitton:
AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning. 719-730

Maysam Orouskhani
, Negar Firoozeh
, Huayu Wang, Yan Wang, Hanrui Shi, Weijing Li, Beibei Sun, Jianjian Zhang, Xiao Li, Huilin Zhao, Mahmud Mossa-Basha, Jenq-Neng Hwang, Chengcheng Zhu:
Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA. 731-744

Jiaxuan Wang
, Rui Gong
, Shahrokh Heidari, Mitchell Rogers, Toshiki Tani, Hiroshi Abe, Noritaka Ichinohe
, Alexander Woodward, Patrice J. Delmas:
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images. 745-761

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