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  1. A deep understanding of the neuronal connectivity and networks with detailed cell typing across brain regions is necessary to unravel the mechanisms behind the emotional and memorial functions as well as to fi...

    Authors: Shuxia Guo, Jie Xue, Jian Liu, Xiangqiao Ye, Yichen Guo, Di Liu, Xuan Zhao, Feng Xiong, Xiaofeng Han and Hanchuan Peng
    Citation: Brain Informatics 2022 9:10
  2. Assessment of expertise development during training program primarily consists of evaluating interactions between task characteristics, performance, and mental load. Such a traditional assessment framework may...

    Authors: Pratusha Reddy, Patricia A. Shewokis and Kurtulus Izzetoglu
    Citation: Brain Informatics 2022 9:9
  3. Biologically plausible models of learning may provide a crucial insight for building autonomous intelligent agents capable of performing a wide range of tasks. In this work, we propose a hierarchical model of ...

    Authors: Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov and Aleksandr I. Panov
    Citation: Brain Informatics 2022 9:8
  4. Reconstructing cortical surfaces from structural magnetic resonance imaging (MRI) is a prerequisite for surface-based functional and anatomical image analyses. Conventional algorithms for cortical surface reco...

    Authors: Jianxun Ren, Qingyu Hu, Weiwei Wang, Wei Zhang, Catherine S. Hubbard, Pingjia Zhang, Ning An, Ying Zhou, Louisa Dahmani, Danhong Wang, Xiaoxuan Fu, Zhenyu Sun, Yezhe Wang, Ruiqi Wang, Luming Li and Hesheng Liu
    Citation: Brain Informatics 2022 9:6
  5. Brain informatics is a novel interdisciplinary area that focuses on scientifically studying the mechanisms of human brain information processing by integrating experimental cognitive neuroscience with advanced...

    Authors: Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie and Lingling Xu
    Citation: Brain Informatics 2022 9:5
  6. Previous experiments in tacit coordination games hinted that some people are more successful in achieving coordination than others, although the variability in this ability has not yet been examined before. Wi...

    Authors: Dor Mizrahi, Ilan Laufer and Inon Zuckerman
    Citation: Brain Informatics 2022 9:4
  7. Acquisition of neuronal signals involves a wide range of devices with specific electrical properties. Combined with other physiological sources within the body, the signals sensed by the devices are often dist...

    Authors: Marcos Fabietti, Mufti Mahmud and Ahmad Lotfi
    Citation: Brain Informatics 2022 9:1
  8. Electrical recordings of neural mass activity, such as local field potentials (LFPs) and electroencephalograms (EEGs), have been instrumental in studying brain function. However, these aggregate signals lack c...

    Authors: Pablo Martínez-Cañada, Shahryar Noei and Stefano Panzeri
    Citation: Brain Informatics 2021 8:27
  9. Here, we combine network neuroscience and machine learning to reveal connections between the brain’s network structure and the emerging network structure of an artificial neural network. Specifically, we train...

    Authors: James M. Shine, Mike Li, Oluwasanmi Koyejo, Ben Fulcher and Joseph T. Lizier
    Citation: Brain Informatics 2021 8:26
  10. Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia. However, most of the previous studies are ...

    Authors: Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin and Girijesh Prasad
    Citation: Brain Informatics 2021 8:24
  11. Alzheimer’s disease (AD) is a neurodegenerative brain pathology formed due to piling up of amyloid proteins, development of plaques and disappearance of neurons. Another common subtype of dementia like AD, Par...

    Authors: Ahsan Bin Tufail, Yong-Kui Ma, Qiu-Na Zhang, Adil Khan, Lei Zhao, Qiang Yang, Muhammad Adeel, Rahim Khan and Inam Ullah
    Citation: Brain Informatics 2021 8:23
  12. The ability to characterize muscle activities or skilled movements controlled by signals from neurons in the motor cortex of the brain has many useful implications, ranging from biomedical perspectives to brai...

    Authors: Tuan D. Pham
    Citation: Brain Informatics 2021 8:22
  13. Interest in the studying of functional connections in the brain has grown considerably in the last decades, as many studies have pointed out that alterations in the interaction among brain areas can play a rol...

    Authors: Pierfrancesco Ambrosi, Mauro Costagli, Ercan E. Kuruoğlu, Laura Biagi, Guido Buonincontri and Michela Tosetti
    Citation: Brain Informatics 2021 8:19
  14. The literature regarding the use of diffusion-tensor imaging-derived metrics in the evaluation of Parkinson’s disease (PD) is controversial. This study attempted to assess the feasibility of a deep-learning-ba...

    Authors: Junyan Sun, Ruike Chen, Qiqi Tong, Jinghong Ma, Linlin Gao, Jiliang Fang, Dongling Zhang, Piu Chan, Hongjian He and Tao Wu
    Citation: Brain Informatics 2021 8:18
  15. Brain-inspired high-dimensional (HD) computing represents and manipulates data using very long, random vectors with dimensionality in the thousands. This representation provides great robustness for various cl...

    Authors: Michael Hersche, Stefan Lippuner, Matthias Korb, Luca Benini and Abbas Rahimi
    Citation: Brain Informatics 2021 8:16
  16. Neuronal signals generally represent activation of the neuronal networks and give insights into brain functionalities. They are considered as fingerprints of actions and their processing across different struc...

    Authors: Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, M. Shamim Kaiser, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone and Jianhui Chen
    Citation: Brain Informatics 2021 8:14
  17. Mental stress is a major individual and societal burden and one of the main contributing factors that lead to pathologies such as depression, anxiety disorders, heart attacks, and strokes. Given that anxiety d...

    Authors: Avirath Sundaresan, Brian Penchina, Sean Cheong, Victoria Grace, Antoni Valero-Cabré and Adrien Martel
    Citation: Brain Informatics 2021 8:13
  18. Annually, over three million people in North America suffer concussions. Every age group is susceptible to concussion, but youth involved in sporting activities are particularly vulnerable, with about 6% of al...

    Authors: Kayvan Tirdad, Alex Dela Cruz, Alireza Sadeghian and Michael Cusimano
    Citation: Brain Informatics 2021 8:12
  19. Memory, the process of encoding, storing, and maintaining information over time to influence future actions, is very important in our lives. Losing it, it comes with a great cost. Deciphering the biophysical m...

    Authors: Nikolaos Andreakos, Shigang Yue and Vassilis Cutsuridis
    Citation: Brain Informatics 2021 8:9
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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

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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.)