Encoding of brain state changes in local field potentials modulated by motor behaviors
Local field potentials (LFPs) measure aggregate neural activity resulting from the coordinated firing of neurons within a local network. We hypothesized that state parameters associated with the underlying brain dynamics may be encoded in LFPs but may not be directly measurable in the signal tempora...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Springer Science + Business Media B.V.
2011
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| Online Access: | http://hdl.handle.net/1721.1/65585 https://orcid.org/0000-0003-1881-2720 |
| _version_ | 1826191853018415104 |
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| author | Stamoulis, Catherine Richardson, Andrew G. |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Stamoulis, Catherine Richardson, Andrew G. |
| author_sort | Stamoulis, Catherine |
| collection | MIT |
| description | Local field potentials (LFPs) measure aggregate neural activity resulting from the coordinated firing of neurons within a local network. We hypothesized that state parameters associated with the underlying brain dynamics may be encoded in LFPs but may not be directly measurable in the signal temporal and spectral contents. Using the Kalman filter we estimated latent state changes in LFPs recorded in monkey motor cortical areas during the execution of a visually instructed reaching task, under different applied force conditions. Prior to the estimation, matched filtering was performed to decouple behavior-relevant signals (Stamoulis and Richardson, J Comput Neurosci, 2009) from unrelated background oscillations. State changes associated with baseline oscillations appeared insignificant. In contrast, state changes estimated from LFP components associated with the execution of movement were significant. Approximately direction-invariant state vectors were consistently observed. Their patterns appeared invariant also to force field conditions, with a peak in the first 200 ms of the movement interval, but exponentially decreasing to the zero state approximately 200 ms from movement onset, also the time at which movement velocity reached its peak. Thus, state appeared to be modulated by the dynamics of movement but neither by movement direction nor by the mechanical environment. Finally, we compared state vectors estimated using the Kalman filter to the basis functions obtained through Principal Component Analysis. The pattern of the estimated state vector was very similar to that of the first PCA component, further suggesting that LFPs may directly encode brain state fluctuations associated with the dynamics of behavior. |
| first_indexed | 2024-09-23T09:02:17Z |
| format | Article |
| id | mit-1721.1/65585 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:02:17Z |
| publishDate | 2011 |
| publisher | Springer Science + Business Media B.V. |
| record_format | dspace |
| spelling | mit-1721.1/655852022-09-30T12:57:55Z Encoding of brain state changes in local field potentials modulated by motor behaviors Stamoulis, Catherine Richardson, Andrew G. McGovern Institute for Brain Research at MIT Stamoulis, Catherine Stamoulis, Catherine Richardson, Andrew G. Local field potentials (LFPs) measure aggregate neural activity resulting from the coordinated firing of neurons within a local network. We hypothesized that state parameters associated with the underlying brain dynamics may be encoded in LFPs but may not be directly measurable in the signal temporal and spectral contents. Using the Kalman filter we estimated latent state changes in LFPs recorded in monkey motor cortical areas during the execution of a visually instructed reaching task, under different applied force conditions. Prior to the estimation, matched filtering was performed to decouple behavior-relevant signals (Stamoulis and Richardson, J Comput Neurosci, 2009) from unrelated background oscillations. State changes associated with baseline oscillations appeared insignificant. In contrast, state changes estimated from LFP components associated with the execution of movement were significant. Approximately direction-invariant state vectors were consistently observed. Their patterns appeared invariant also to force field conditions, with a peak in the first 200 ms of the movement interval, but exponentially decreasing to the zero state approximately 200 ms from movement onset, also the time at which movement velocity reached its peak. Thus, state appeared to be modulated by the dynamics of movement but neither by movement direction nor by the mechanical environment. Finally, we compared state vectors estimated using the Kalman filter to the basis functions obtained through Principal Component Analysis. The pattern of the estimated state vector was very similar to that of the first PCA component, further suggesting that LFPs may directly encode brain state fluctuations associated with the dynamics of behavior. National Institutes of Health (U.S.) (NIH 5T32NS048005-05) National Institutes of Health (U.S.) (NIH 1UL1RR025758-01) National Institutes of Health (U.S.) (NS-044393) 2011-08-31T20:33:27Z 2011-08-31T20:33:27Z 2010-02 2010-01 Article http://purl.org/eprint/type/JournalArticle 0929-5313 1573-6873 http://hdl.handle.net/1721.1/65585 Stamoulis, Catherine, and Andrew G. Richardson. “Encoding of Brain State Changes in Local Field Potentials Modulated by Motor Behaviors.” Journal of Computational Neuroscience 29.3 (2010) : 475-483. © 2010 Springer Science+Business Media. https://orcid.org/0000-0003-1881-2720 en_US http://dx.doi.org/10.1007/s10827-010-0219-6 Journal of Computational Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Springer Science + Business Media B.V. Stamoulis |
| spellingShingle | Stamoulis, Catherine Richardson, Andrew G. Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title | Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title_full | Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title_fullStr | Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title_full_unstemmed | Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title_short | Encoding of brain state changes in local field potentials modulated by motor behaviors |
| title_sort | encoding of brain state changes in local field potentials modulated by motor behaviors |
| url | http://hdl.handle.net/1721.1/65585 https://orcid.org/0000-0003-1881-2720 |
| work_keys_str_mv | AT stamouliscatherine encodingofbrainstatechangesinlocalfieldpotentialsmodulatedbymotorbehaviors AT richardsonandrewg encodingofbrainstatechangesinlocalfieldpotentialsmodulatedbymotorbehaviors |