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  1. Multivariate prediction of human behavior from resting state data is gaining increasing popularity in the neuroimaging community, with far-reaching translational implications in neurology and psychiatry. Howev...

    Authors: Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia and Marco Zorzi
    Citation: Brain Informatics 2021 8:8
  2. In this study, the relationship of orienting of attention, motor control and the Stimulus- (SDN) and Goal-Driven Networks (GDN) was explored through an innovative method for fMRI analysis considering all voxel...

    Authors: Carlos A. Mugruza-Vassallo, Douglas D. Potter, Stamatina Tsiora, Jennifer A. Macfarlane and Adele Maxwell
    Citation: Brain Informatics 2021 8:5
  3. The brain is a complex system, due to the heterogeneity of its structure, the diversity of the functions in which it participates and to its reciprocal relationships with the body and the environment. A system...

    Authors: Frederic Alexandre
    Citation: Brain Informatics 2021 8:3
  4. Seizure is an abnormal electrical activity of the brain. Neurologists can diagnose the seizure using several methods such as neurological examination, blood tests, computerized tomography (CT), magnetic resona...

    Authors: Athar A. Ein Shoka, Monagi H. Alkinani, A. S. El-Sherbeny, Ayman El-Sayed and Mohamed M. Dessouky
    Citation: Brain Informatics 2021 8:1
  5. Cognitive regulation of emotion has been proven to be effective to take control the emotional responses. Some cognitive models have also been proposed to explain the neural mechanism that underlies this proces...

    Authors: Yang Yang, Xiaofei Zhang, Yue Peng, Jie Bai and Xiuya Lei
    Citation: Brain Informatics 2020 7:20
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

  30. 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
  31. 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
  32. 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
  33. 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

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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.)