Estimating Neural Signal Dynamics in the Human Brain
Although brain imaging methods are highly effective for localizing the effects of neural activation throughout the human brain in terms of the blood oxygenation level dependent (BOLD) response, there is currently no way to estimate the underlying neural signal dynamics in generating the BOLD respons...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2011-06-01
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| Series: | Frontiers in Systems Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00033/full |
| _version_ | 1818344412462186496 |
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| author | Christopher W Tyler Lora T Likova |
| author_facet | Christopher W Tyler Lora T Likova |
| author_sort | Christopher W Tyler |
| collection | DOAJ |
| description | Although brain imaging methods are highly effective for localizing the effects of neural activation throughout the human brain in terms of the blood oxygenation level dependent (BOLD) response, there is currently no way to estimate the underlying neural signal dynamics in generating the BOLD response in each local activation region (except for processes slower than the BOLD time course). Knowledge of the neural signal is critical information if spatial mapping is to progress to the analysis of dynamic information flow through the cortical networks as the brain performs its tasks. We introduce an analytic approach that provides a new level of conceptualization and specificity in the study of brain processing by noninvasive methods. This technique allows us to use brain imaging methods to determine the dynamics of local neural population responses to their native temporal resolution throughout the human brain, with relatively narrow confidence intervals on many response properties. The ability to characterize local neural dynamics in the human brain represents a significant enhancement of brain imaging capabilities, with potential application from general cognitive studies to assessment of neuropathologies. |
| first_indexed | 2024-12-13T16:46:04Z |
| format | Article |
| id | doaj.art-3bf74b907a474c1595909fee11ab2e8f |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-12-13T16:46:04Z |
| publishDate | 2011-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-3bf74b907a474c1595909fee11ab2e8f2022-12-21T23:38:09ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372011-06-01510.3389/fnsys.2011.000332054Estimating Neural Signal Dynamics in the Human BrainChristopher W Tyler0Lora T Likova1Smith-Kettlewell Eye Research InstituteSmith-Kettlewell Eye Research InstituteAlthough brain imaging methods are highly effective for localizing the effects of neural activation throughout the human brain in terms of the blood oxygenation level dependent (BOLD) response, there is currently no way to estimate the underlying neural signal dynamics in generating the BOLD response in each local activation region (except for processes slower than the BOLD time course). Knowledge of the neural signal is critical information if spatial mapping is to progress to the analysis of dynamic information flow through the cortical networks as the brain performs its tasks. We introduce an analytic approach that provides a new level of conceptualization and specificity in the study of brain processing by noninvasive methods. This technique allows us to use brain imaging methods to determine the dynamics of local neural population responses to their native temporal resolution throughout the human brain, with relatively narrow confidence intervals on many response properties. The ability to characterize local neural dynamics in the human brain represents a significant enhancement of brain imaging capabilities, with potential application from general cognitive studies to assessment of neuropathologies.http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00033/fullfMRIhumanvisualCortical processingneural dynamicsblood oxygen level dependent |
| spellingShingle | Christopher W Tyler Lora T Likova Estimating Neural Signal Dynamics in the Human Brain Frontiers in Systems Neuroscience fMRI human visual Cortical processing neural dynamics blood oxygen level dependent |
| title | Estimating Neural Signal Dynamics in the Human Brain |
| title_full | Estimating Neural Signal Dynamics in the Human Brain |
| title_fullStr | Estimating Neural Signal Dynamics in the Human Brain |
| title_full_unstemmed | Estimating Neural Signal Dynamics in the Human Brain |
| title_short | Estimating Neural Signal Dynamics in the Human Brain |
| title_sort | estimating neural signal dynamics in the human brain |
| topic | fMRI human visual Cortical processing neural dynamics blood oxygen level dependent |
| url | http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00033/full |
| work_keys_str_mv | AT christopherwtyler estimatingneuralsignaldynamicsinthehumanbrain AT loratlikova estimatingneuralsignaldynamicsinthehumanbrain |