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  1. Epileptiform discharges in interictal electroencephalography (EEG) form the mainstay of epilepsy diagnosis and localization of seizure onset. Visual analysis is rater-dependent and time consuming, especially f...

    Authors: Evangelia I. Zacharaki, Iosif Mporas, Kyriakos Garganis and Vasileios Megalooikonomou
    Citation: Brain Informatics 2016 3:44
  2. Electroencephalogram (EEG) signals are used broadly in the medical fields. The main applications of EEG signals are the diagnosis and treatment of diseases such as epilepsy, Alzheimer, sleep problems and so on...

    Authors: Hadi Ratham Al Ghayab, Yan Li, Shahab Abdulla, Mohammed Diykh and Xiangkui Wan
    Citation: Brain Informatics 2016 3:39
  3. Established process models for knowledge discovery find the domain-expert in a customer-like and supervising role. In the field of biomedical research, it is necessary to move the domain-experts into the cente...

    Authors: Dominic Girardi, Josef Küng, Raimund Kleiser, Michael Sonnberger, Doris Csillag, Johannes Trenkler and Andreas Holzinger
    Citation: Brain Informatics 2016 3:38
  4. In this review paper, we summarized the automated dementia identification algorithms in the literature from a pattern classification perspective. Since most of those algorithms consist of both feature extract...

    Authors: Chuanchuan Zheng, Yong Xia, Yongsheng Pan and Jinhu Chen
    Citation: Brain Informatics 2015 3:27
  5. Traumatic brain injury (TBI) is a major cause of mortality and morbidity, placing a significant financial burden on the healthcare system worldwide. Non-invasive neuroimaging technologies have been playing a ...

    Authors: Koon-Pong Wong, Marvin Bergsneider, Thomas C. Glenn, Vladimir Kepe, Jorge R. Barrio, David A. Hovda, Paul M. Vespa and Sung-Cheng Huang
    Citation: Brain Informatics 2015 3:26
  6. Tremendous efforts have thus been devoted on the establishment of functional MRI informatics systems that recruit a comprehensive collection of statistical/computational approaches for fMRI data analysis. Howe...

    Authors: Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han and Tianming Liu
    Citation: Brain Informatics 2015 2:24
  7. The most frequently used measures of executive functioning are either sensitive to left frontal lobe functioning or bilateral frontal functioning. Relatively little is known about right frontal lobe contributi...

    Authors: Paul S. Foster, Valeria Drago, Brad J. Ferguson, Patti Kelly Harrison and David W. Harrison
    Citation: Brain Informatics 2015 2:25
  8. This paper describes novel methods for constructing the intrinsic geometry of the human brain connectome using dimensionality-reduction techniques. We posit that the high-dimensional, complex geometry that re...

    Authors: Allen Q. Ye, Olusola A. Ajilore, Giorgio Conte, Johnson GadElkarim, Galen Thomas-Ramos, Liang Zhan, Shaolin Yang, Anand Kumar, Richard L. Magin, Angus G. Forbes and Alex D. Leow
    Citation: Brain Informatics 2015 2:22
  9. The last two decades have witnessed the explosive growth in the development and use of noninvasive neuroimaging technologies that advance the research on human brain under normal and pathological conditions. M...

    Authors: Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol and Ron Kikinis
    Citation: Brain Informatics 2015 2:20
  10. Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provisi...

    Authors: Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol and Ron Kikinis
    Citation: Brain Informatics 2015 2:19
  11. In this work, we propose SmartTracing, an automatic tracing framework that does not require substantial human intervention. There are two major novelties in SmartTracing. First, given an input image, SmartTrac...

    Authors: Hanbo Chen, Hang Xiao, Tianming Liu and Hanchuan Peng
    Citation: Brain Informatics 2015 2:18
  12. Humans have the ability to easily separate a composed speech and to form perceptual representations of the constituent sources in an acoustic mixture thanks to their ears. Until recently, researchers attempt t...

    Authors: Jihen Zeremdini, Mohamed Anouar Ben Messaoud and Aicha Bouzid
    Citation: Brain Informatics 2015 2:16
  13. Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progression of a disease and/or how do patients evolve or recover wh...

    Authors: Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, Jose M. Peña, Nuria Paul and Fernando Maestu
    Citation: Brain Informatics 2015 2:10
  14. Event-related potentials (ERPs) are tiny electrical brain responses in the human electroencephalogram that are typically not detectable until they are isolated by a process of signal averaging. Owing to the ex...

    Authors: Hossein Parvar, Lauren Sculthorpe-Petley, Jason Satel, Rober Boshra, Ryan C. N. D’Arcy and Thomas P. Trappenberg
    Citation: Brain Informatics 2014 2:6
  15. The use of quantitative electroencephalograph in the analysis of air traffic controllers' performance can reveal with a high temporal resolution those mental responses associated with different task demands. T...

    Authors: Hussein A. Abbass, Jiangjun Tang, Mohamed Ellejmi and Stephen Kirby
    Citation: Brain Informatics 2014 1:5
  16. For professionals in military and law enforcement domains, learning to regulate one’s emotions under threatening circumstances is crucial. The STRESS project envisions a virtual reality-based system to enable ...

    Authors: Tibor Bosse, Charlotte Gerritsen, Jeroen de Man and Jan Treur
    Citation: Brain Informatics 2014 1:4
  17. The reconstruction quality of a functional MRI sequence is determined by reconstruction algorithms as well as the information obtained from measurements. In this paper, we propose a Linear Dynamic Sparse Model...

    Authors: Shulin Yan, Lei Nie, Chao Wu and Yike Guo
    Citation: Brain Informatics 2014 1:2

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Brain Informatics and Health (Editors-in-Chief: Zhong, Ning, Kikinis, Ron; Series Editors: Cai, W., Müller, H., Onoe, H., Pujol, S., Yu, P.S.)