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Brain Activity Monitoring and Measurement (2nd Edition)

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 15 March 2025 | Viewed by 74

Special Issue Editors


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Guest Editor
1. Director of the Centre for Research & Development in Learning (CRADLE@NTU), National Institute of Education, Nanyang Technological University, Singapore
2. Director (NTU) of the Centre for Lifelong Learning and Individualised Cognition (CLIC) in Collaboration with Cambridge University (an NRF-CREATE Programme) LKCMedicine, National Institute of Education, Nanyang Technological University, Singapore
Interests: fMRI; cognitive neuroscience
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Guest Editor

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Guest Editor
Department of Psychology and Cognitive Science, University of Trento, 38068 Trento, Italy
Interests: physiological signal processing; statistical neuroimaging; artificial intelligence; reproducibility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the past few decades, the emergence of remarkable novel sensing technologies and methodological approaches has contributed to advancing research on the human brain.

On the one hand, new-generation sensors have facilitated the collection of central and peripheral nervous system signals, allowing studies within new contexts and experimental settings (e.g., hyperscanning, real life).

On the other hand, novel analysis techniques (e.g., data fusion, artificial intelligence) have enabled a more efficient and robust extraction of brain activity indicators.

This Special Issue aims to report high-quality theoretical, analytical, and experimental investigations, including proof-of-concept, modeling, and practical-oriented studies, of new hardware and software applications aimed at monitoring and measuring brain activity.

This Special Issue welcomes high-quality papers containing original research results and survey articles in (but not limited to) the following fields:

  • Functional magnetic resonance imaging (fMRI);
  • Functional near-infrared spectroscopy (fNIRS);
  • Magnetic resonance spectroscopy (MRS);
  • Encephalography (EEG);
  • Real-life brain monitoring;
  • Signal processing and validation.

Prof. Dr. Annabel Chen
Prof. Dr. Gianluca Esposito
Dr. Andrea Bizzego
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • functional magnetic resonance imaging (fMRI)
  • functional near infrared spectroscopy (fNIRS)
  • magnetic resonance spectroscopy (MRS)
  • encephalography (EEG)
  • real-life brain monitoring
  • signal processing and validation

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