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Brain Informatics
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  3. 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

    Content type: OriginalPaper

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  4. 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

    Content type: OriginalPaper

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  5. 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

    Content type: OriginalPaper

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  6. 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

    Content type: OriginalPaper

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  9. 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

    Content type: OriginalPaper

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  10. 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

    Content type: OriginalPaper

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  11. 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

    Content type: ReviewPaper

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  14. 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

    Content type: OriginalPaper

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  16. 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

    Content type: OriginalPaper

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  17. 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

    Content type: OriginalPaper

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  18. 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

    Content type: OriginalPaper

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  19. 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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  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

    Content type: OriginalPaper

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  30. 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

    Content type: OriginalPaper

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  31. 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

    Content type: OriginalPaper

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  32. 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

    Content type: OriginalPaper

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  33. 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

    Content type: OriginalPaper

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  34. 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

    Content type: OriginalPaper

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  35. 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

    Content type: OriginalPaper

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  37. 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

    Content type: OriginalPaper

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  38. 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

    Content type: OriginalPaper

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  40. 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

    Content type: Report

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  41. 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

    Content type: OriginalPaper

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  44. 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

    Content type: OriginalPaper

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  50. 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

    Content type: OriginalPaper

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Related books

15148

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

  • ISSN: 2198-4026 (electronic)
  • ISSN: 2198-4018 (print)
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