Skip to main content

Articles

Page 1 of 5

  1. EEG/MEG source imaging (ESI) aims to find the underlying brain sources to explain the observed EEG or MEG measurement. Multiple classical approaches have been proposed to solve the ESI problem based on differe...

    Authors: Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun and Feng Liu
    Citation: Brain Informatics 2024 11:8
  2. Human emotion recognition remains a challenging and prominent issue, situated at the convergence of diverse fields, such as brain–computer interfaces, neuroscience, and psychology. This study utilizes an EEG d...

    Authors: Pragati Patel, Sivarenjani Balasubramanian and Ramesh Naidu Annavarapu
    Citation: Brain Informatics 2024 11:7
  3. Different aspects of cognitive functions are affected in patients with Alzheimer’s disease. To date, little is known about the associations between features from brain-imaging and individual Alzheimer’s diseas...

    Authors: Kaida Ning, Pascale B. Cannon, Jiawei Yu, Srinesh Shenoi, Lu Wang and Joydeep Sarkar
    Citation: Brain Informatics 2024 11:5
  4. In the field of audiology, achieving accurate discrimination of auditory impairments remains a formidable challenge. Conditions such as deafness and tinnitus exert a substantial impact on patients’ overall qua...

    Authors: Muhammad Atta Othman Ahmed, Yasser Abdel Satar, Eed M. Darwish and Elnomery A. Zanaty
    Citation: Brain Informatics 2024 11:3
  5. The integration of the information encoded in multiparametric MRI images can enhance the performance of machine-learning classifiers. In this study, we investigate whether the combination of structural and fun...

    Authors: Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni and Alessandra Retico
    Citation: Brain Informatics 2024 11:2
  6. Functional magnetic resonance imaging (fMRI) provides insights into complex patterns of brain functional changes, making it a valuable tool for exploring addiction-related brain connectivity. However, effectiv...

    Authors: Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao and Shuqiang Wang
    Citation: Brain Informatics 2024 11:1
  7. Measures of functional connectivity have played a central role in advancing our understanding of how information is transmitted and processed within the brain. Traditionally, these studies have focused on iden...

    Authors: Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold and Stefano Panzeri
    Citation: Brain Informatics 2023 10:34
  8. Mild cognitive impairment (MCI) is a transitional stage between normal aging and early Alzheimer’s disease (AD). The presence of extracellular amyloid-beta (Aβ) in Braak regions suggests a connection with cogn...

    Authors: Puskar Bhattarai, Ahmed Taha, Bhavin Soni, Deepa S. Thakuri, Erin Ritter and Ganesh B. Chand
    Citation: Brain Informatics 2023 10:33
  9. Machine Learning (ML) is nowadays an essential tool in the analysis of Magnetic Resonance Imaging (MRI) data, in particular in the identification of brain correlates in neurological and neurodevelopmental diso...

    Authors: Giacomo Serra, Francesca Mainas, Bruno Golosio, Alessandra Retico and Piernicola Oliva
    Citation: Brain Informatics 2023 10:32
  10. Random Survival Forests (RSF) has recently showed better performance than statistical survival methods as Cox proportional hazard (CPH) in predicting conversion risk from mild cognitive impairment (MCI) to Alz...

    Authors: Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Fulvia Arcuri, Andrea Quattrone and Aldo Quattrone
    Citation: Brain Informatics 2023 10:31
  11. In order to grasp and transport an object, grip and load forces must be scaled according to the object’s properties (such as weight). To select the appropriate grip and load forces, the object weight is estima...

    Authors: Lena Kopnarski, Laura Lippert, Julian Rudisch and Claudia Voelcker-Rehage
    Citation: Brain Informatics 2023 10:29
  12. Postpartum Depression (PPD) is a frequently ignored birth-related consequence. Social network analysis can be used to address this issue because social media network serves as a platform for their users to com...

    Authors: Abinaya Gopalakrishnan, Raj Gururajan, Revathi Venkataraman, Xujuan Zhou, Ka Chan Ching, Arul Saravanan and Maitrayee Sen
    Citation: Brain Informatics 2023 10:28
  13. Mental wellbeing of university students is a growing concern that has been worsening during the COVID-19 pandemic. Numerous studies have gathered empirical data to explore the mental health impact of the pande...

    Authors: Tianhua Chen
    Citation: Brain Informatics 2023 10:27
  14. Clinical and surgical decisions for glioblastoma patients depend on a tumor imaging-based evaluation. Artificial Intelligence (AI) can be applied to magnetic resonance imaging (MRI) assessment to support clini...

    Authors: Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, Luca Mainardi, Pietro Fiaschi, Diego Garbossa and Lia Morra
    Citation: Brain Informatics 2023 10:26
  15. Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential men...

    Authors: Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier and Naoufel Werghi
    Citation: Brain Informatics 2023 10:25
  16. While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for m...

    Authors: Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton and Hans W. Guesgen
    Citation: Brain Informatics 2023 10:24
  17. The increasing number of peer-reviewed publications constitutes a challenge for biocuration. For example, NeuroMorpho.Org, a sharing platform for digital reconstructions of neural morphology, must evaluate mor...

    Authors: Patricia Maraver, Carolina Tecuatl and Giorgio A. Ascoli
    Citation: Brain Informatics 2023 10:23
  18. Abstracting cerebrovascular disease (CeVD) from inpatient electronic medical records (EMRs) through natural language processing (NLP) is pivotal for automated disease surveillance and improving patient outcome...

    Authors: Jie Pan, Zilong Zhang, Steven Ray Peters, Shabnam Vatanpour, Robin L. Walker, Seungwon Lee, Elliot A. Martin and Hude Quan
    Citation: Brain Informatics 2023 10:22
  19. This paper aims to design distraction descriptor, elicited through the object variation, to refine the granular knowledge incrementally, using the proposed probability-based incremental update strategy in Incr...

    Authors: Siaw-Hong Liew, Yun-Huoy Choo, Yin Fen Low and Fadilla ‘Atyka Nor Rashid
    Citation: Brain Informatics 2023 10:21
  20. Brain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in recent years. Researchers provide experimental result...

    Authors: Baraka Maiseli, Abdi T. Abdalla, Libe V. Massawe, Mercy Mbise, Khadija Mkocha, Nassor Ally Nassor, Moses Ismail, James Michael and Samwel Kimambo
    Citation: Brain Informatics 2023 10:20
  21. Electroencephalogram(EEG)-based authentication has received increasing attention from researchers as they believe it could serve as an alternative to more conventional personal authentication methods. Unfortun...

    Authors: Hui Yen Yap, Yun-Huoy Choo, Zeratul Izzah Mohd Yusoh and Wee How Khoh
    Citation: Brain Informatics 2023 10:19
  22. Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists i...

    Authors: Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha and N. K. Jain
    Citation: Brain Informatics 2023 10:18
  23. Alzheimer’s disease (AD) is a brain-related disease in which the condition of the patient gets worse with time. AD is not a curable disease by any medication. It is impossible to halt the death of brain cells,...

    Authors: Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali and Mohammad Nami
    Citation: Brain Informatics 2023 10:17
  24. Virtual Reality (VR) allows users to interact with 3D immersive environments and has the potential to be a key technology across many domain applications, including access to a future metaverse. Yet, consumer ...

    Authors: Alexander Hui Xiang Yang, Nikola Kirilov Kasabov and Yusuf Ozgur Cakmak
    Citation: Brain Informatics 2023 10:15
  25. Virtual reality exposure therapy (VRET) is a novel intervention technique that allows individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific triggers and gradually increase...

    Authors: Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew Burton…
    Citation: Brain Informatics 2023 10:14
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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

Annual Journal Metrics

  • 2022 Citation Impact 
    7.3 - CiteScore
    1.609 - SNIP (Source Normalized Impact per Paper)
    0.986 - SJR (SCImago Journal Rank)

    2023 Speed
    12 days submission to first editorial decision for all manuscripts (Median)
    128 days submission to accept (Median)

    2023 Usage 
    302,950 downloads
    141 Altmetric mentions

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

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.)