Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics
Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic res...
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| Format: | Online |
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Frontiers Media SA
2021
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| Online pristup: | 17779 |
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| author | Klaus Gramann Daniel P. Ferris Tzyy-Ping Jung Chin-Teng Lin Scott Makeig |
| author_browse | Chin-Teng Lin Daniel P. Ferris Klaus Gramann Scott Makeig Tzyy-Ping Jung |
| author_facet | Klaus Gramann Daniel P. Ferris Tzyy-Ping Jung Chin-Teng Lin Scott Makeig |
| author_sort | Klaus Gramann |
| collection | Directory of Open Access Books |
| description | Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants' movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions. |
| format | Online |
| id | doab-20.500.12854ir-61044 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-610442024-04-05T12:35:23Z Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics Klaus Gramann Daniel P. Ferris Tzyy-Ping Jung Chin-Teng Lin Scott Makeig RC321-571 Q1-390 fNIRS EEG Body Imaging computational neuroscience neuroergonomics Wireless dry EEG Sensors Biomechanics Natural Cognition Gait rehabilitation Mobile Brain Brain Mapping Embodied Cognition Mobile Brain Imaging Wireless Sensing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants' movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions. 2021-02-12T06:07:52Z 2021-02-12T06:07:52Z 2015-12-03 13:02:24 2014 book 17779 16648714 9782889192717 https://directory.doabooks.org/handle/20.500.12854/61044 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Towards_a_New_Cognitive_Neuroscience_Modeling_Natural_Brain_Dynamics/323#nogo http://journal.frontiersin.org/researchtopic/1360/towards-a-new-cognitive-neuroscience-modeling-natural-brain-dynamics Frontiers Media SA 10.3389/978-2-88919-271-7 10.3389/978-2-88919-271-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889192717 166 open access |
| spellingShingle | RC321-571 Q1-390 fNIRS EEG Body Imaging computational neuroscience neuroergonomics Wireless dry EEG Sensors Biomechanics Natural Cognition Gait rehabilitation Mobile Brain Brain Mapping Embodied Cognition Mobile Brain Imaging Wireless Sensing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Klaus Gramann Daniel P. Ferris Tzyy-Ping Jung Chin-Teng Lin Scott Makeig Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title | Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title_full | Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title_fullStr | Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title_full_unstemmed | Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title_short | Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics |
| title_sort | towards a new cognitive neuroscience modeling natural brain dynamics |
| topic | RC321-571 Q1-390 fNIRS EEG Body Imaging computational neuroscience neuroergonomics Wireless dry EEG Sensors Biomechanics Natural Cognition Gait rehabilitation Mobile Brain Brain Mapping Embodied Cognition Mobile Brain Imaging Wireless Sensing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 fNIRS EEG Body Imaging computational neuroscience neuroergonomics Wireless dry EEG Sensors Biomechanics Natural Cognition Gait rehabilitation Mobile Brain Brain Mapping Embodied Cognition Mobile Brain Imaging Wireless Sensing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 17779 |
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