Neural Signal Estimation in the Human Brain
The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resoluti...
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| Formato: | Online |
| Idioma: | inglês |
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Frontiers Media SA
2021
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| Acesso em linha: | 18310 |
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| _version_ | 1869523160091590656 |
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| author | Christopher W. Tyler Lora T. Likova Clare Howarth |
| author_browse | Christopher W. Tyler Clare Howarth Lora T. Likova |
| author_facet | Christopher W. Tyler Lora T. Likova Clare Howarth |
| author_sort | Christopher W. Tyler |
| collection | Directory of Open Access Books |
| description | The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches. |
| format | Online |
| id | doab-20.500.12854ir-54482 |
| 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-544822024-04-05T17:29:29Z Neural Signal Estimation in the Human Brain Christopher W. Tyler Lora T. Likova Clare Howarth RC321-571 Q1-390 Neuroimaging functional MRI human brain connectivity EEG DTI neurovascular neural signal estimation BOLD MEG thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences The ultimate goal of functional brain imaging is to provide optimal estimates of the neural signals flowing through the long-range and local pathways mediating all behavioral performance and conscious experience. In functional MRI (Magnetic Resonance Imaging), despite its impressive spatial resolution, this goal has been somewhat undermined by the fact that the fMRI response is essentially a blood-oxygenation level dependent (BOLD) signal that only indirectly reflects the nearby neural activity. The vast majority of fMRI studies restrict themselves to describing the details of these BOLD signals and deriving non-quantitative inferences about their implications for the underlying neural activity. This Frontiers Research Topic welcomed empirical and theoretical contributions that focus on the explicit relationship of non-invasive brain imaging signals to the causative neural activity. The articles presented within this resulting eBook aim to both highlight the importance and improve the non-invasive estimation of neural signals in the human brain. To achieve this aim, the following issues are targeted: (1) The spatial limitations of source localization when using MEG/EEG. (2) The coupling of the BOLD signal to neural activity. Articles discuss how animal studies are fundamental in increasing our understanding of BOLD fMRI signals, analyze how non-neuronal cell types may contribute to the modulation of cerebral blood flow, and use modeling to improve our understanding of how local field potentials are linked to the BOLD signal. (3) The contribution of excitatory and inhibitory neuronal activity to the BOLD signal. (4) Assessment of neural connectivity through the use of resting state data, computational modeling and functional Diffusion Tensor Imaging (fDTI) approaches. 2021-02-11T20:48:26Z 2021-02-11T20:48:26Z 2016-01-19 14:05:46 2016 book 18310 16648714 9782889199235 https://directory.doabooks.org/handle/20.500.12854/54482 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Neural_Signal_Estimation_in_the_Human_Brain/979#nogo http://journal.frontiersin.org/researchtopic/1589/neural-signal-estimation-in-the-human-brain Frontiers Media SA 10.3389/978-2-88919-923-5 10.3389/978-2-88919-923-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889199235 142 open access |
| spellingShingle | RC321-571 Q1-390 Neuroimaging functional MRI human brain connectivity EEG DTI neurovascular neural signal estimation BOLD MEG thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Christopher W. Tyler Lora T. Likova Clare Howarth Neural Signal Estimation in the Human Brain |
| title | Neural Signal Estimation in the Human Brain |
| title_full | Neural Signal Estimation in the Human Brain |
| title_fullStr | Neural Signal Estimation in the Human Brain |
| title_full_unstemmed | Neural Signal Estimation in the Human Brain |
| title_short | Neural Signal Estimation in the Human Brain |
| title_sort | neural signal estimation in the human brain |
| topic | RC321-571 Q1-390 Neuroimaging functional MRI human brain connectivity EEG DTI neurovascular neural signal estimation BOLD MEG thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 Neuroimaging functional MRI human brain connectivity EEG DTI neurovascular neural signal estimation BOLD MEG thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18310 |
| work_keys_str_mv | AT christopherwtyler neuralsignalestimationinthehumanbrain AT loratlikova neuralsignalestimationinthehumanbrain AT clarehowarth neuralsignalestimationinthehumanbrain |