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  1. Imaging genetics deals with relationships between genetic variation and imaging variables, often in a disease context. The complex relationships between brain volumes and genetic variants have been explored wi...

    Authors: Sjoerd M. H. Huisman, Ahmed Mahfouz, Nematollah K. Batmanghelich, Boudewijn P. F. Lelieveldt and Marcel J. T. Reinders
    Citation: Brain Informatics 2018 5:13
  2. We revisit the side-channel attacks with brain–computer interfaces (BCIs) first put forward by Martinovic et al. at the USENIX 2012 Security Symposium. For this purpose, we propose a comprehensive investigatio...

    Authors: Joseph Lange, Clément Massart, André Mouraux and François-Xavier Standaert
    Citation: Brain Informatics 2018 5:12
  3. Detection of epileptic seizure activities from long-term multi-channel electroencephalogram (EEG) signals plays a significant role in the timely treatment of the patients with epilepsy. Visual identification o...

    Authors: N. Sriraam, S. Raghu, Kadeeja Tamanna, Leena Narayan, Mehraj Khanum, A. S. Hegde and Anjani Bhushan Kumar
    Citation: Brain Informatics 2018 5:10
  4. Models of time perception share an element of scalar expectancy theory known as the internal clock, containing specific mechanisms by which the brain is able to experience time passing and function effectively...

    Authors: Katie A. Lehockey, Andrea R. Winters, Alexandra J. Nicoletta, Taylor E. Zurlinden and Daniel E. Everhart
    Citation: Brain Informatics 2018 5:9
  5. Though the modern medical imaging research is advancing at a booming rate, it is still a very challenging task to detect brain tumor perfectly. Medical imaging unlike other imaging system has highest penalty f...

    Authors: S. M. Kamrul Hasan and Mohiudding Ahmad
    Citation: Brain Informatics 2018 5:8

    The Correction to this article has been published in Brain Informatics 2018 5:11

  6. The Nash embedding theorem demonstrates that any compact manifold can be isometrically embedded in a Euclidean space. Assuming the complex brain states form a high-dimensional manifold in a topological space, ...

    Authors: Mengqi Xing, Johnson GadElkarim, Olusola Ajilore, Ouri Wolfson, Angus Forbes, K. Luan Phan, Heide Klumpp and Alex Leow
    Citation: Brain Informatics 2018 5:7
  7. Dyslexia is a disability that causes difficulties in reading and writing despite average intelligence. This hidden disability often goes undetected since dyslexics are normal and healthy in every other way. El...

    Authors: Harshani Perera, Mohd Fairuz Shiratuddin and Kok Wai Wong
    Citation: Brain Informatics 2018 5:4
  8. Reconstructing three-dimensional (3D) morphology of neurons is essential for understanding brain structures and functions. Over the past decades, a number of neuron tracing tools including manual, semiautomati...

    Authors: Zhi Zhou, Hsien-Chi Kuo, Hanchuan Peng and Fuhui Long
    Citation: Brain Informatics 2018 5:3
  9. The skull base region is anatomically complex and poses surgical challenges. Although many textbooks describe this region illustrated well with drawings, scans and photographs, a complete, 3D, electronic, inte...

    Authors: Wieslaw L. Nowinski and Thant S. L. Thaung
    Citation: Brain Informatics 2018 5:1
  10. The identification, segmentation and detection of infecting area in brain tumor MRI images are a tedious and time-consuming task. The different anatomy structure of human body can be visualized by an image pro...

    Authors: N. Varuna Shree and T. N. R. Kumar
    Citation: Brain Informatics 2018 5:75
  11. Classification of different mental tasks using electroencephalogram (EEG) signal plays an imperative part in various brain–computer interface (BCI) applications. In the design of BCI systems, features extracte...

    Authors: M. M. Rahman, M. A. Chowdhury and S. A. Fattah
    Citation: Brain Informatics 2017 5:73
  12. Why does our visual system fail to reconstruct reality, when we look at certain patterns? Where do Geometrical illusions start to emerge in the visual pathway? How far should we take computational models of vi...

    Authors: Nasim Nematzadeh, David M. W. Powers and Trent W. Lewis
    Citation: Brain Informatics 2017 4:72
  13. Visualization plays a vital role in the analysis of multimodal neuroimaging data. A major challenge in neuroimaging visualization is how to integrate structural, functional, and connectivity data to form a com...

    Authors: Huang Li, Shiaofen Fang, Joey A. Contreras, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi and Li Shen
    Citation: Brain Informatics 2017 4:71
  14. Emerging evidence suggests that the variations in the ability to navigate through any real or virtual environment are accompanied by distinct underlying cortical activations in multiple regions of the brain. T...

    Authors: Greeshma Sharma, Klaus Gramann, Sushil Chandra, Vijander Singh and Alok Prakash Mittal
    Citation: Brain Informatics 2017 4:66
  15. To determine the effects of self-reported anger expression style on cerebrally lateralized physiological responses to neuropsychological stressors, changes in systolic blood pressure and heart rate were examin...

    Authors: David E. Cox, Benjamin B. DeVore, Patti Kelly Harrison and David W. Harrison
    Citation: Brain Informatics 2017 4:68
  16. Computational neuroscience is a field that traces its origins to the efforts of Hodgkin and Huxley, who pioneered quantitative analysis of electrical activity in the nervous system. While also continuing as an...

    Authors: William W. Lytton, Jeff Arle, Georgiy Bobashev, Songbai Ji, Tara L. Klassen, Vasilis Z. Marmarelis, James Schwaber, Mohamed A. Sherif and Terence D. Sanger
    Citation: Brain Informatics 2017 4:67
  17. Reconstructing neurons from 3D image-stacks of serial sections of thick brain tissue is very time-consuming and often becomes a bottleneck in high-throughput brain mapping projects. We developed NeuronStitcher...

    Authors: Hanbo Chen, Daniel Maxim Iascone, Nuno Maçarico da Costa, Ed S. Lein, Tianming Liu and Hanchuan Peng
    Citation: Brain Informatics 2017 4:63
  18. This paper presents a novel ranking method to select spectral entropy (SE) features that discriminate alcoholic and control visual event-related potentials (ERP’S) in gamma sub-band (30–55 Hz) derived from a 6...

    Authors: T. K. Padma Shri and N. Sriraam
    Citation: Brain Informatics 2017 4:61
  19. This paper presents a new accelerated fMRI reconstruction method, namely, OptShrink LR + S method that reconstructs undersampled fMRI data using a linear combination of low-rank and sparse components. The low-ran...

    Authors: Priya Aggarwal, Parth Shrivastava, Tanay Kabra and Anubha Gupta
    Citation: Brain Informatics 2017 4:59
  20. Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datas...

    Authors: Christopher R. Madan and Elizabeth A. Kensinger
    Citation: Brain Informatics 2017 4:60
  21. Theories of spreading activation primarily involve semantic memory networks. However, the existence of separate verbal and visuospatial memory networks suggests that spreading activation may also occur in visu...

    Authors: Paul S. Foster, Candias Wakefield, Scott Pryjmak, Katelyn M. Roosa, Kaylei K. Branch, Valeria Drago, David W. Harrison and Ronald Ruff
    Citation: Brain Informatics 2016 4:58
  22. Sudarshan Kriya Yoga (SKY) is a type of rhythmic breathing activity, trivially a form of Pranayama that stimulates physical, mental, emotional, and social well-being. The objective of the present work is to ve...

    Authors: Sushil Chandra, Greeshma Sharma, Mansi Sharma, Devendra Jha and Alok Pakash Mittal
    Citation: Brain Informatics 2016 4:55
  23. The theory of spreading activation proposes that the activation of a semantic memory node may spread along bidirectional associative links to other related nodes. Although this theory was originally proposed t...

    Authors: Paul S. Foster, Tyler Hubbard, Ransom W. Campbell, Jonathan Poole, Michael Pridmore, Chris Bell and David W. Harrison
    Citation: Brain Informatics 2016 4:54
  24. Widely spread naming inconsistencies in neuroscience pose a vexing obstacle to effective communication within and across areas of expertise. This problem is particularly acute when identifying neuron types an...

    Authors: D. J. Hamilton, D. W. Wheeler, C. M. White, C. L. Rees, A. O. Komendantov, M. Bergamino and G. A. Ascoli
    Citation: Brain Informatics 2016 4:53
  25. Enrichment analysis has been widely applied in the genome-wide association studies, where gene sets corresponding to biological pathways are examined for significant associations with a phenotype to help incre...

    Authors: Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin and Li Shen
    Citation: Brain Informatics 2016 4:52
  26. Although emotion detection using electroencephalogram (EEG) data has become a highly active area of research over the last decades, little attention has been paid to stimulus familiarity, a crucial subjectivit...

    Authors: Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui and Masayuki Numao
    Citation: Brain Informatics 2016 4:51
  27. ERP studies commonly utilize gambling-based reinforcement tasks to elicit feedback negativity (FN) responses. This study used a pattern learning task in order to limit gambling-related fallacious reasoning an...

    Authors: Jonathan M. Highsmith, Karl L. Wuensch, Tuan Tran, Alexandra J. Stephenson and D. Erik Everhart
    Citation: Brain Informatics 2016 4:50
  28. Many neuroscience studies have been devoted to understand brain neural responses correlating to cognition using functional magnetic resonance imaging (fMRI). In contrast to univariate analysis to identify resp...

    Authors: Xinpei Ma, Chun-An Chou, Hiroki Sayama and Wanpracha Art Chaovalitwongse
    Citation: Brain Informatics 2016 3:49
  29. Today, diagnosis of attention deficit hyperactivity disorder (ADHD) still primarily relies on a series of subjective evaluations that highly rely on a doctor’s experiences and intuitions from diagnostic interv...

    Authors: Cao Xiao, Jesse Bledsoe, Shouyi Wang, Wanpracha Art Chaovalitwongse, Sonya Mehta, Margaret Semrud-Clikeman and Thomas Grabowski
    Citation: Brain Informatics 2016 3:47
  30. This paper presents homogeneous clusters of patients, identified in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by a total of 243 biological a...

    Authors: Dragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, Netta Shachar and Nada Lavrač
    Citation: Brain Informatics 2016 3:35
  31. Medical doctors and researchers in bio-medicine are increasingly confronted with complex patient data, posing new and difficult analysis challenges. These data are often comprising high-dimensional descriptions o...

    Authors: Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric and Andreas Holzinger
    Citation: Brain Informatics 2016 3:43
  32. The “doctor in the loop” is a new paradigm in information-driven medicine, picturing the doctor as authority inside a loop supplying an expert system with information on actual patients, treatment results, and...

    Authors: Peter Kieseberg, Bernd Malle, Peter Frühwirt, Edgar Weippl and Andreas Holzinger
    Citation: Brain Informatics 2016 3:46
  33. Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopath...

    Authors: Sarni Suhaila Rahim, Vasile Palade, James Shuttleworth and Chrisina Jayne
    Citation: Brain Informatics 2016 3:45
  34. In this article, we demonstrate the impact of interactive machine learning: we develop biomedical entity recognition dataset using a human-into-the-loop approach. In contrary to classical machine learning, hu...

    Authors: Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Šefket Šabanović and Andreas Holzinger
    Citation: Brain Informatics 2016 3:36
  35. Large-scale brain initiatives such as the US BRAIN initiative and the European Human Brain Project aim to marshall a vast amount of data and tools for the purpose of furthering our understanding of brains. Fun...

    Authors: Julian C. Shillcock, Michael Hawrylycz, Sean Hill and Hanchuan Peng
    Citation: Brain Informatics 2016 3:41
  36. Hostile men have reliably displayed an exaggerated sympathetic stress response across multiple experimental settings, with cardiovascular reactivity for blood pressure and heart rate concurrent with lateralize...

    Authors: Robert P. Walters, Patti Kelly Harrison, Ransom W. Campbell and David W. Harrison
    Citation: Brain Informatics 2016 3:34

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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.)