Skip to main content


Page 1 of 4

  1. Logically valid deductive arguments are clear examples of abstract recursive computational procedures on propositions or on probabilities. However, it is not known if the cortical time-consuming inferential pr...

    Authors: Francisco Salto, Carmen Requena, Paula Alvarez-Merino, Víctor Rodríguez, Jesús Poza and Roberto Hornero
    Citation: Brain Informatics 2023 10:13
  2. In order to understand the link between brain functional states and behavioral/cognitive processes, the information carried in neural oscillations can be retrieved using different analytic techniques. Processi...

    Authors: Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera and Mauricio O. Nava-Mesa
    Citation: Brain Informatics 2023 10:12
  3. The aim of this study was to extend previous findings on selective attention over a lifetime using machine learning procedures. By decoding group membership and stimulus type, we aimed to study differences in ...

    Authors: Christian Goelz, Eva-Maria Reuter, Stephanie Fröhlich, Julian Rudisch, Ben Godde, Solveig Vieluf and Claudia Voelcker-Rehage
    Citation: Brain Informatics 2023 10:11
  4. Informatics paradigms for brain and mental health research have seen significant advances in recent years. These developments can largely be attributed to the emergence of new technologies such as machine lear...

    Authors: Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U Rajendra Acharya and Yuefeng Li
    Citation: Brain Informatics 2023 10:10
  5. On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in sca...

    Authors: Isabella Kahhale, Nicholas J. Buser, Christopher R. Madan and Jamie L. Hanson
    Citation: Brain Informatics 2023 10:9
  6. Applied behavioral analysis (ABA) is regarded as the gold standard treatment for autism spectrum disorder (ASD) and has the potential to improve outcomes for patients with ASD. It can be delivered at different in...

    Authors: Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao and Ritankar Das
    Citation: Brain Informatics 2023 10:7
  7. Progress in dementia research has been limited, with substantial gaps in our knowledge of targets for prevention, mechanisms for disease progression, and disease-modifying treatments. The growing availability ...

    Authors: Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah Marzi, Nathan Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida and David J. Llewellyn
    Citation: Brain Informatics 2023 10:6
  8. Alzheimer’s disease (AD) is a neurodegenerative disease that causes irreversible damage to several brain regions, including the hippocampus causing impairment in cognition, function, and behaviour. Early diagn...

    Authors: Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Arwa Al Sariri, Viswan Vimbi and Abdelhamid Abdesselam
    Citation: Brain Informatics 2023 10:5
  9. Brain network analysis based on structural and functional magnetic resonance imaging (MRI) is considered as an effective method for consciousness evaluation of hydrocephalus patients, which can also be applied...

    Authors: Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao and Lichi Zhang
    Citation: Brain Informatics 2023 10:3
  10. The cingulate gyrus (CG) is a frequently studied yet not wholly understood area of the human cerebrum. Previous studies have implicated CG in different adaptive cognitive–emotional functions and fascinating or...

    Authors: Tritan J. Plute, Dennis D. Spencer and Rafeed Alkawadri
    Citation: Brain Informatics 2022 9:30
  11. Error-based learning is one of the basic skill acquisition mechanisms that can be modeled as a perception–action system and investigated based on brain–behavior analysis during skill training. Here, the error-...

    Authors: Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto and Anirban Dutta
    Citation: Brain Informatics 2022 9:29
  12. The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The rev...

    Authors: Adam Byrne, Emma Bonfiglio, Colin Rigby and Nicky Edelstyn
    Citation: Brain Informatics 2022 9:27
  13. The amount of unstructured text produced daily in scholarly journals is enormous. Systematically identifying, sorting, and structuring information from such a volume of data is increasingly challenging for res...

    Authors: Kayvan Bijari, Yasmeen Zoubi and Giorgio A. Ascoli
    Citation: Brain Informatics 2022 9:26
  14. Temporal analysis of global cortical communication of cognitive tasks in coarse EEG information is still challenging due to the underlying complex neural mechanisms. This study proposes an attention-based time...

    Authors: Swati Agrawal, Vijayakumar Chinnadurai and Rinku Sharma
    Citation: Brain Informatics 2022 9:25
  15. Alzheimer’s disease (AD) is a slowly progressing disease for which there is no known therapeutic cure at present. Ongoing research around the world is actively engaged in the quest for identifying markers that...

    Authors: Devarshi Mukherji, Manibrata Mukherji and Nivedita Mukherji
    Citation: Brain Informatics 2022 9:23
  16. Neuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of conventional marketing tools, like questionnaires and focus groups. Electroencephalography (EEG) is the most commonly ...

    Authors: Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikos A. Laskaris and Ioannis Kompatsiaris
    Citation: Brain Informatics 2022 9:22
  17. Epileptic seizures prediction and timely alarms allow the patient to take effective and preventive actions. In this paper, a convolutional neural network (CNN) is proposed to diagnose the preictal period. Our ...

    Authors: Jamal Nazari, Ali Motie Nasrabadi, Mohammad Bagher Menhaj and Somayeh Raiesdana
    Citation: Brain Informatics 2022 9:21
  18. Alzheimer’s disease (AD) diagnosis often requires invasive examinations (e.g., liquor analyses), expensive tools (e.g., brain imaging) and highly specialized personnel. The diagnosis commonly is established wh...

    Authors: Mario Merone, Sebastian Luca D’Addario, Pierandrea Mirino, Francesca Bertino, Cecilia Guariglia, Rossella Ventura, Adriano Capirchio, Gianluca Baldassarre, Massimo Silvetti and Daniele Caligiore
    Citation: Brain Informatics 2022 9:20
  19. Brain signals are recorded using different techniques to aid an accurate understanding of brain function and to treat its disorders. Untargeted internal and external sources contaminate the acquired signals du...

    Authors: Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi and M. Shamim Kaiser
    Citation: Brain Informatics 2022 9:19
  20. Two-photon fluorescence calcium imaging allows recording the activity of large neural populations with subcellular spatial resolution, but it is typically characterized by low signal-to-noise ratio (SNR) and p...

    Authors: Monica Moroni, Marco Brondi, Tommaso Fellin and Stefano Panzeri
    Citation: Brain Informatics 2022 9:18
  21. In clinical practice, several standardized neuropsychological tests have been designed to assess and monitor the neurocognitive status of patients with neurodegenerative diseases such as Alzheimer’s disease. I...

    Authors: Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemysław Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro and Roberto Bellotti
    Citation: Brain Informatics 2022 9:17
  22. Autism spectrum is a brain development condition that impairs an individual’s capacity to communicate socially and manifests through strict routines and obsessive–compulsive behavior. Applied behavior analysis...

    Authors: Manu Kohli, Arpan Kumar Kar, Anjali Bangalore and Prathosh AP
    Citation: Brain Informatics 2022 9:16
  23. In this paper, a hardware-optimized approach to emotion recognition based on the efficient brain-inspired hyperdimensional computing (HDC) paradigm is proposed. Emotion recognition provides valuable informatio...

    Authors: Alisha Menon, Anirudh Natarajan, Reva Agashe, Daniel Sun, Melvin Aristio, Harrison Liew, Yakun Sophia Shao and Jan M. Rabaey
    Citation: Brain Informatics 2022 9:14
  24. Infant brain magnetic resonance imaging (MRI) is a promising approach for studying early neurodevelopment. However, segmenting small regions such as limbic structures is challenging due to their low inter-regi...

    Authors: Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine and Jonathan Posner
    Citation: Brain Informatics 2022 9:12
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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

Annual Journal Metrics

This journal is indexed by

    • PubMedCentral
    • EI Compendex
    • Scopus
    • INSPEC
    • EMBASE
    • Google Scholar
    • CNKI
    • DBLP
    • DOAJ
    • EBSCO Discovery Service
    • EBSCO TOC Premier
    • OCLC
    • ProQuest
    • Summon by ProQuest

Related books


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