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Brain Informatics and Health

8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

  • Conference proceedings
  • © 2015

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Editors:
  1. Yike Guo

    1. Imperial College London , Data Science Institute, London, United Kingdom

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  2. Karl Friston

    1. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

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  3. Faisal Aldo

    1. Imperial College London, London, United Kingdom

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  4. Sean Hill

    1. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

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  5. Hanchuan Peng

    1. Allen Institute for Brain Science, Seattle, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9250)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: BIH 2015.

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About this book

This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK, in August/September 2015.

The 42 full papers presented were carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.

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Keywords

Table of contents (43 papers)

  1. Front Matter

    Pages I-XV
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  2. Thinking and Perception-Centric Investigations of Human Information Processing System (HIPS) and Computational Foundations of Brain Science

    1. Front Matter

      Pages 1-1
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    2. Eye Tracking and EEG Features for Salient Web Object Identification

      • Gino Slanzi, Claudio Aracena, Juan D. Velásquez
      Pages 3-12

    3. Cognitive Task Classificaiton from Wireless EEG

      • Shuvo Kumar Paul, M. S. Q. Zulkar Nine, Mahady Hasan, M. Ashraful Amin
      Pages 13-22

    4. Identifying the Computational Parameters Gone Awry in Psychosis

      • Gerit Pfuhl, Kristin Sandvik, Robert Biegler, Håkon Tjelmeland
      Pages 23-32

    5. Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder

      • Yang Yang, Changqing Hu, Kazuyuki Imamura, Xiaojing Yang, Huaizhou Li, Gang Wang et al.
      Pages 33-42

    6. A Cognitive Model for Understanding Chinese Character

      • Qingsheng Li, Qinxia Wu, Feng Gao
      Pages 43-53

  3. Information Technologies for Curating, Mining, Managing and Using Big Brain Data

    1. Front Matter

      Pages 55-55
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    2. Identification of Gender Specific Biomarkers for Alzheimer’s Disease

      • Dragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, Nada Lavrač, [Authorinst]for the Alzheimer’s Disease Neuroimaging Initiative
      Pages 57-66

    3. BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome

      • Giorgio Conte, Allen Q. Ye, Angus G. Forbes, Olusola Ajilore, Alex Leow
      Pages 67-76

    4. Sleep Stages Classification from Electroencephalographic Signals Based on Unsupervised Feature Space Clustering

      • Iosif Mporas, Anastasia Efstathiou, Vasileios Megalooikonomou
      Pages 77-85

    5. Identifying Distinguishing Factors in Predicting Brain Activities – An Inclusive Machine Learning Approach

      • Jürgen Ommen, Chih Lai
      Pages 86-95

    6. Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings

      • Miaolin Fan, Vladimir Miskovic, Chun-An Chou, Sina Khanmohammadi, Hiroki Sayama, Brandon E. Gibb
      Pages 96-104

    7. Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder

      • Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler et al.
      Pages 105-114

    8. Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations

      • Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow et al.
      Pages 115-124

    9. Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI

      • Lei Nie, Xian Yang, Paul M. Matthews, Zhiwei Xu, Yike Guo
      Pages 125-134

    10. A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction

      • Claudio Stamile, Francesco Cauteruccio, Giorgio Terracina, Domenico Ursino, Gabriel Kocevar, Dominique Sappey-Marinier
      Pages 135-144

    11. Towards the Identification of Disease Signatures

      • Tassos Venetis, Anastasia Ailamaki, Thomas Heinis, Manos Karpathiotakis, Ferath Kherif, Alexis Mitelpunkt et al.
      Pages 145-155

    12. The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification

      • Xiaobing Han, Yanfei Zhong, Lifang He, Philip S. Yu, Liangpei Zhang
      Pages 156-166

    13. A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances

      • Ningning Wang, Ning Zhong, Jian Han, Jianhui Chen, Han Zhong, Taihei Kotake et al.
      Pages 167-178
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Editors and Affiliations

  • Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  • Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  • Imperial College London, London, United Kingdom

    Faisal Aldo

  • Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  • Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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