Advances in Neuroimaging Data Processing
The development of in vivo neuroimaging techniques has yielded an incredible amount of digital information about the brain. Neuroimaging techniques are increasingly being used to study human cognitive processes, create brain–machine interfaces, and also to identify and diagnose certain brain disorde...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20230405_9783036569987_231 |
| Etykiety: |
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| _version_ | 1869524546389803008 |
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| collection | Directory of Open Access Books |
| description | The development of in vivo neuroimaging techniques has yielded an incredible amount of digital information about the brain. Neuroimaging techniques are increasingly being used to study human cognitive processes, create brain–machine interfaces, and also to identify and diagnose certain brain disorders. Currently, neuroscientists and medics actively use different methods for brain scans, including electro- and magnetoencephalography (EEG/MEG), functional near-infrared spectroscopy (fNIRS), electrocorticography (ECoG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and diffusion tensor imaging (DTI). Recent advances in signal processing and machine learning for neuroimaging data using various signal processing methods have made impressive progress in solving a number of practical tasks in medicine, healthcare, neuroscience, biomedical engineering, brain–machine interfaces, and cognitive science, to name but a few. This Special Issue aims to provide a forum for academic and industrial communities to present and discuss the latest theoretical and experimental results related to recent advances in neuroimaging data processing in terms of new theories, algorithms, architectures, and applications. |
| format | Online |
| id | doab-20.500.12854ir-98952 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-989522024-03-31T13:08:32Z Advances in Neuroimaging Data Processing Hramov, Alexander E. Pisarchik, Alexander N. MEG FieldTrip Brainstorm source reconstruction flickering cognitive neuroscience visual perception detrended fluctuation analysis long-range correlations electroencephalogram sleep deprivation nonstationarity transfer entropy kernel methods Renyi’s entropy connectivity analysis phase interactions brain data low-cost devices EEG BIDS neuroscience library ambiguous stimuli Necker cubes classification task EEG analysis wavelet analysis decision time perceptual errors time-on-task effect brain connectivity artificial neural networks granger causality time series brain–computer interface event-related potential beamforming regularization BCI graphical user interface wheelchair navigation grid map natural landmark optimal paths deep Q-networks focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity functional connectivity cognitive load coupling bubble entropy transition network n/a thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences The development of in vivo neuroimaging techniques has yielded an incredible amount of digital information about the brain. Neuroimaging techniques are increasingly being used to study human cognitive processes, create brain–machine interfaces, and also to identify and diagnose certain brain disorders. Currently, neuroscientists and medics actively use different methods for brain scans, including electro- and magnetoencephalography (EEG/MEG), functional near-infrared spectroscopy (fNIRS), electrocorticography (ECoG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and diffusion tensor imaging (DTI). Recent advances in signal processing and machine learning for neuroimaging data using various signal processing methods have made impressive progress in solving a number of practical tasks in medicine, healthcare, neuroscience, biomedical engineering, brain–machine interfaces, and cognitive science, to name but a few. This Special Issue aims to provide a forum for academic and industrial communities to present and discuss the latest theoretical and experimental results related to recent advances in neuroimaging data processing in terms of new theories, algorithms, architectures, and applications. 2023-04-05T13:00:41Z 2023-04-05T13:00:41Z 2023 book ONIX_20230405_9783036569987_231 9783036569987 9783036569994 https://directory.doabooks.org/handle/20.500.12854/98952 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7005 https://mdpi.com/books/pdfview/book/7005 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6999-4 10.3390/books978-3-0365-6999-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036569987 9783036569994 186 Basel open access |
| spellingShingle | MEG FieldTrip Brainstorm source reconstruction flickering cognitive neuroscience visual perception detrended fluctuation analysis long-range correlations electroencephalogram sleep deprivation nonstationarity transfer entropy kernel methods Renyi’s entropy connectivity analysis phase interactions brain data low-cost devices EEG BIDS neuroscience library ambiguous stimuli Necker cubes classification task EEG analysis wavelet analysis decision time perceptual errors time-on-task effect brain connectivity artificial neural networks granger causality time series brain–computer interface event-related potential beamforming regularization BCI graphical user interface wheelchair navigation grid map natural landmark optimal paths deep Q-networks focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity functional connectivity cognitive load coupling bubble entropy transition network n/a thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Advances in Neuroimaging Data Processing |
| title | Advances in Neuroimaging Data Processing |
| title_full | Advances in Neuroimaging Data Processing |
| title_fullStr | Advances in Neuroimaging Data Processing |
| title_full_unstemmed | Advances in Neuroimaging Data Processing |
| title_short | Advances in Neuroimaging Data Processing |
| title_sort | advances in neuroimaging data processing |
| topic | MEG FieldTrip Brainstorm source reconstruction flickering cognitive neuroscience visual perception detrended fluctuation analysis long-range correlations electroencephalogram sleep deprivation nonstationarity transfer entropy kernel methods Renyi’s entropy connectivity analysis phase interactions brain data low-cost devices EEG BIDS neuroscience library ambiguous stimuli Necker cubes classification task EEG analysis wavelet analysis decision time perceptual errors time-on-task effect brain connectivity artificial neural networks granger causality time series brain–computer interface event-related potential beamforming regularization BCI graphical user interface wheelchair navigation grid map natural landmark optimal paths deep Q-networks focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity functional connectivity cognitive load coupling bubble entropy transition network n/a thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | MEG FieldTrip Brainstorm source reconstruction flickering cognitive neuroscience visual perception detrended fluctuation analysis long-range correlations electroencephalogram sleep deprivation nonstationarity transfer entropy kernel methods Renyi’s entropy connectivity analysis phase interactions brain data low-cost devices EEG BIDS neuroscience library ambiguous stimuli Necker cubes classification task EEG analysis wavelet analysis decision time perceptual errors time-on-task effect brain connectivity artificial neural networks granger causality time series brain–computer interface event-related potential beamforming regularization BCI graphical user interface wheelchair navigation grid map natural landmark optimal paths deep Q-networks focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity functional connectivity cognitive load coupling bubble entropy transition network n/a thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | ONIX_20230405_9783036569987_231 |