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Computational Methods to Monitor and Analyze Brain Signals in Patients or Normal Subjects During their Day Life Activities

Call for Papers

The fast technological advancement that we match in our everyday life is rapidly giving a new shape to the world of computational neuroscience. The birth of modern sensors and devices able to perform cerebral recordings is changing the way to make neuroscience. Wireless equipment and embedded technology are giving light to several novel experimental paradigms to be applied in medical and nonmedical contexts but not necessarily in a laboratory setting. In such a way, researchers are facing the issue to correlate neurophysiological activities with so far unexplored tasks, such as measuring the brain activity of patients as well as normal persons during day life activities, at work, or during cognitive tasks.

We would like to invite authors to contribute original articles, as well as review articles, in order to share inside the scientific community the new ideas matching the scope of this issue.

We are particularly interested in articles describing innovative brain computer interfaces (BCIs) paradigms and applications on patients as well as normal people; online monitoring of cognitive and emotional state in complex cognitive tasks; analysis of consumers’ perception in marketing or advertising experiences; measurements of brain activity during fruition of art works and architectonic environments; methodologies for the analysis of real time neuroelectromagnetic cerebral signals during normal day life activities. Potential topics include, but are not limited to:

  • Brain computer interfaces developments and applications to patients and normal subjects for neurorehabilitation, domotics, gaming, and entertainment
  • Online analysis of neuroelectromagnetic activity in cognitive tasks
  • Pharmaco-EEG in humans
  • Methods for the analysis of EEG or MEG data from patients in relevant clinical contexts (e.g., data from cochlear implanted patients or from deep brain stimulations)
  • Methods for online analysis of EEG or MEG data from normal subjects or patients in challenging contexts (driving cars, airplanes, monitoring, video surveillance, etc.)
  • Analysis and online rejection of muscles, eyes, and movement-induced artifacts on neuroelectromagnetic cerebral signals
  • Sensors or electrodes to be used during the entire day life activities

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/cono/ according to the following timetable:

Manuscript DueFriday, 18 April 2014
First Round of ReviewsFriday, 11 July 2014
Publication DateFriday, 5 September 2014

Lead Guest Editor

  • Fabio Babiloni, Department of Physiology and Pharmacology, University of Rome Sapienza, Rome, Italy

Guest Editors