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  1. Various machine-learning classification techniques have been employed previously to classify brain states in healthy and disease populations using functional magnetic resonance imaging (fMRI). These methods ge...

    Authors: D. Rangaprakash, Toluwanimi Odemuyiwa, D. Narayana Dutt and Gopikrishna Deshpande

    Citation: Brain Informatics 2020 7:19

    Content type: Research

    Published on:

  2. Since manual tracing is time consuming and the performance of automatic tracing is unstable, it is still a challenging task to generate accurate neuron reconstruction efficiently and effectively. One strategy ...

    Authors: Jian Yang, Yishan He and Xuefeng Liu

    Citation: Brain Informatics 2020 7:14

    Content type: Research

    Published on:

  3. By computerized analysis of cortical activity recorded via fMRI for pediatric epilepsy patients, we implement algorithmic localization of epileptic seizure focus within one of eight cortical lobes. Our innovat...

    Authors: Rasoul Hekmati, Robert Azencott, Wei Zhang, Zili D. Chu and Michael J. Paldino

    Citation: Brain Informatics 2020 7:13

    Content type: Research

    Published on:

  4. With the growing number of the aged population, the number of Parkinson’s disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources and awareness in underdeveloped countries, ...

    Authors: Md. Sakibur Rahman Sajal, Md. Tanvir Ehsan, Ravi Vaidyanathan, Shouyan Wang, Tipu Aziz and Khondaker Abdullah Al Mamun

    Citation: Brain Informatics 2020 7:12

    Content type: Research

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  5. Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge M...

    Authors: Manan Binth Taj Noor, Nusrat Zerin Zenia, M Shamim Kaiser, Shamim Al Mamun and Mufti Mahmud

    Citation: Brain Informatics 2020 7:11

    Content type: Review

    Published on:

  6. Neuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the unspoken...

    Authors: Ferdousi Sabera Rawnaque, Khandoker Mahmudur Rahman, Syed Ferhat Anwar, Ravi Vaidyanathan, Tom Chau, Farhana Sarker and Khondaker Abdullah Al Mamun

    Citation: Brain Informatics 2020 7:10

    Content type: Review

    Published on:

  7. Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hinde...

    Authors: D. F. Collazos-Huertas, A. M. Álvarez-Meza, C. D. Acosta-Medina, G. A. Castaño-Duque and G. Castellanos-Dominguez

    Citation: Brain Informatics 2020 7:8

    Content type: Research

    Published on:

  8. This paper proposes a novel feature selection method utilizing Rényi min-entropy-based algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet packet transformation (WPT) is...

    Authors: Md. Asadur Rahman, Farzana Khanam, Mohiuddin Ahmad and Mohammad Shorif Uddin

    Citation: Brain Informatics 2020 7:7

    Content type: Research

    Published on:

  9. Epilepsy and psychogenic non-epileptic seizures (PNES) often show over-lap in symptoms, especially at an early disease stage. During a PNES, the electrical activity of the brain remains normal but in case of a...

    Authors: Negar Ahmadi, Yulong Pei, Evelien Carrette, Albert P. Aldenkamp and Mykola Pechenizkiy

    Citation: Brain Informatics 2020 7:6

    Content type: Research

    Published on:

  10. In recent days, deep learning technologies have achieved tremendous success in computer vision-related tasks with the help of large-scale annotated dataset. Obtaining such dataset for medical image analysis is...

    Authors: Jyoti Islam and Yanqing Zhang

    Citation: Brain Informatics 2020 7:3

    Content type: Research

    Published on:

  11. Research advancements in neuroscience entail the production of a substantial amount of data requiring interpretation, analysis, and integration. The complexity and diversity of neuroscience data necessitate th...

    Authors: Kayvan Bijari, Masood A. Akram and Giorgio A. Ascoli

    Citation: Brain Informatics 2020 7:2

    Content type: Research

    Published on:

  12. To improve the efficiency of the structural optimization design in truss calculation, an improved fruit fly optimization algorithm was proposed for truss structure optimization. The fruit fly optimization algo...

    Authors: Yancang Li and Muxuan Han

    Citation: Brain Informatics 2020 7:1

    Content type: Research

    Published on:

  13. It is important to identify brain-based biomarkers that progressively deteriorate from healthy to mild cognitive impairment (MCI) to Alzheimer’s disease (AD). Cortical thickness, amyloid-ß deposition, and grap...

    Authors: Sinan Zhao, D. Rangaprakash, Peipeng Liang and Gopikrishna Deshpande

    Citation: Brain Informatics 2019 6:8

    Content type: Research

    Published on:

  14. Alzheimer’s disease is the most common neurodegenerative disease and is characterized by the accumulation of amyloid-beta peptides leading to the formation of plaques and tau protein tangles in brain. These n...

    Authors: Samuel Iddi, Dan Li, Paul S. Aisen, Michael S. Rafii, Wesley K. Thompson and Michael C. Donohue

    Citation: Brain Informatics 2019 6:6

    Content type: Research

    Published on:

  15. While it is well established that cortical morphology differs in relation to a variety of inter-individual factors, it is often characterized using estimates of volume, thickness, surface area, or gyrification...

    Authors: Christopher R. Madan

    Citation: Brain Informatics 2019 6:5

    Content type: Research

    Published on:

  16. Enhanced resolution of 7 T magnetic resonance imaging (MRI) scanners has considerably advanced our knowledge of structure and function in human and animal brains. Post-industrialized countries are particularly...

    Authors: Shane O’Sullivan, Helmut Heinsen, Lea Tenenholz Grinberg, Leila Chimelli, Edson Amaro Jr., Paulo Hilário do Nascimento Saldiva, Fleur Jeanquartier, Claire Jean-Quartier, Maria da Graça Morais Martin, Mohammed Imran Sajid and Andreas Holzinger

    Citation: Brain Informatics 2019 6:3

    Content type: Original Research

    Published on:

  17. The perception of an external stimulus not only depends upon the characteristics of the stimulus but is also influenced by the ongoing brain activity prior to its presentation. In this work, we directly tested...

    Authors: Kasturi Barik, Syed Naser Daimi, Rhiannon Jones, Joydeep Bhattacharya and Goutam Saha

    Citation: Brain Informatics 2019 6:2

    Content type: Research

    Published on:

  18. Although the objective depression evaluation is a hot topic in recent years, less is known concerning developing a pervasive and objective approach for quantitatively evaluating depression. Driven by the Wisdo...

    Authors: Zhijiang Wan, Hao Zhang, Jianhui Chen, Haiyan Zhou, Jie Yang and Ning Zhong

    Citation: Brain Informatics 2018 5:15

    Content type: Research

    Published on:

  19. This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of su...

    Authors: Avinash L. Tandle, Manjusha S. Joshi, Ambrish S. Dharmadhikari and Suyog V. Jaiswal

    Citation: Brain Informatics 2018 5:14

    Content type: Review

    Published on:

  20. 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

    Content type: Original Research

    Published on:

  21. 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

    Content type: Original Research

    Published on:

  22. 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

    Content type: Original Research

    Published on:

  23. 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

    Content type: Original Research

    Published on:

  24. 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

    Content type: Review

    Published on:

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

  25. 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

    Content type: Original Research

    Published on:

  26. 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

    Content type: Original research

    Published on:

  27. 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

    Content type: Original research

    Published on:

  28. 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

    Content type: Original research

    Published on:

  29. 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

    Published on:

  30. 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

    Published on:

  31. 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

    Published on:

  32. 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

    Published on:

  33. 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

    Published on:

  34. 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

    Published on:

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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.)