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Neuroinformatics

Issue 4/2024 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

Content (25 Articles)

Neuroinformatics Applications of Data Science and Artificial Intelligence

Ivo D. Dinov

Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images

Bahram Jafrasteh, Manuel Lubián-Gutiérrez, Simón Pedro Lubián-López, Isabel Benavente-Fernández

Utilizing fMRI to Guide TMS Targets: the Reliability and Sensitivity of fMRI Metrics at 3 T and 1.5 T

Qiu Ge, Matthew Lock, Xue Yang, Yuejiao Ding, Juan Yue, Na Zhao, Yun-Song Hu, Yong Zhang, Minliang Yao, Yu-Feng Zang

Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease

Rongke Lyu, Marina Vannucci, Suprateek Kundu

A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control

  • Research

Sharmistha Guha, Jose Rodriguez-Acosta, Ivo D. Dinov

Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice

  • Open Access
  • Research

Ofek Ophir, Orit Shefi, Ofir Lindenbaum

Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models

Gabriel R. Palma, Conor Thornberry, Seán Commins, Rafael A. Moral

Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning

Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore

Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value

Elham Ahmadi Moghadam, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini, Mohammad Hossein Moattar

Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains

Heitor Mynssen, Kamilla Avelino-de-Souza, Khallil Chaim, Vanessa Lanes Ribeiro, Nina Patzke, Bruno Mota

MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies

Wentao Jiang, Xinyi Liu, Ming Song, Zhengyi Yang, Lan Sun, Tianzi Jiang

Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions

Andrei Irimia

Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study

Xiaojian Kang, Byung C. Yoon, Emily Grossner, Maheen M. Adamson

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury

Kevin H. Guo, Nikhil N. Chaudhari, Tamara Jafar, Nahian F. Chowdhury, Paul Bogdan, Andrei Irimia

Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?

  • Open Access
  • Review

Rachel Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn

Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers

  • Editorial

Mathew Abrams, John Darrell Van Horn

Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community

  • Review

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 Margulies, Boris C. Bernhardt

Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort

  • Open Access
  • Research

Michał Szczepanik, Adina S. Wagner, Stephan Heunis, Laura K. Waite, Simon B. Eickhoff, Michael Hanke

Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy

  • Research

Ariel Rokem, Noah C. Benson

Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme

  • Open Access
  • Research

Alice Geminiani, Judith Kathrein, Alper Yegenoglu, Franziska Vogel, Marcelo Armendariz, Ziv Ben-Zion, Petrut Antoniu Bogdan, Joana Covelo, Marissa Diaz 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

Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging – A Symposium Review

Joshua K. Marchant, Natalie G. Ferris, Diana Grass, Magdelena S. Allen, Vivek Gopalakrishnan, Mark Olchanyi, Devang Sehgal, Maxina Sheft, Amelia Strom, Berkin Bilgic, Brian 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 Y. Huang, Bruce R. Rosen, Randy L. Gollub

Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex

  • Open Access
  • Research

Simon H. Geukes, Mariana P. Branco, Erik J. Aarnoutse, Annike Bekius, Julia Berezutskaya, Nick F. Ramsey

AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning

  • Open Access
  • Research

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

Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA

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

A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images

  • Open Access
  • Research

Jiaxuan Wang, Rui Gong, Shahrokh Heidari, Mitchell Rogers, Toshiki Tani, Hiroshi Abe, Noritaka Ichinohe, Alexander Woodward, Patrice J. Delmas

Jul 24
Issue: 3/2024
Jan 25
Issue: 1/2025

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Keynote webinar | Spotlight on functional neurological disorder

FND perplexes and frustrates patients and physicians alike. Limited knowledge and insufficient awareness delays diagnosis and treatment, and many patients feel misunderstood and stigmatized. How can you recognize FND and what are the treatment options?

Prof. Mark Edwards
Watch now
Video

How can you integrate PET into your practice? (Link opens in a new window)

1.5 AMA PRA Category 1 Credit(s)™

PET imaging is playing an increasingly critical role in managing AD. Our expert-led program will empower you with practical strategies and real-world case studies to effectively integrate it into clinical practice.

This content is intended for healthcare professionals outside of the UK.

Supported by:
  • Lilly
Developed by: Springer Health+ IME
Learn more
Image Credits
Human brain illustration/© (M) CHRISTOPH BURGSTEDT / SCIENCE PHOTO LIBRARY / Getty Images, Navigating neuroimaging in Alzheimer’s care: Practical applications and strategies for integration/© Springer Health+ IME