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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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

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Related books

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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.)