Local Field Potential in Cortical Area MT: Stimulus Tuning and Behavioral Correlations

@article{citeulike:776809, abstract = {Low-frequency electrical signals like those that compose the local field potential (LFP) can be detected at substantial distances from their point of origin within the brain. It is thus unclear how useful the LFP might be for assessing local function, for example, on the spatial scale of cortical columns. We addressed this problem by comparing speed and direction tuning of LFPs obtained from middle temporal area MT with the tuning of multiunit (MU) activity recorded simultaneously. We found that the LFP can be well tuned for speed and direction and is highly correlated with that of MU activity, particularly for frequencies at and above the gamma band. LFP tuning is substantially poorer for lower frequencies, although tuning for direction extends to lower frequencies than does tuning for speed. Our data suggest that LFP signals at and above the gamma band reflect neural processing on the spatial scale of cortical columns, within a few hundred micrometers of the electrode tip. Consistent with this notion, we also found that frequencies at and above the gamma band measured during a speed discrimination task exhibit an effect known as "choice probability," which reveals a particularly close relationship between neural activity and behavioral choices. In the LFP, this signature of the perceptual choice comprises a shift in relative power from low-frequency bands ({alpha} and [beta]) to the gamma band. It remains to be determined how LFP choice probability, which is a temporal signature, is related to conventional choice probability effects observed in spike rates. 10.1523/JNEUROSCI.5052-05.2006}, author = {Liu, Jing and Newsome, William T. }, citeulike-article-id = {776809}, doi = {http://dx.doi.org/10.1523/JNEUROSCI.5052}, journal = {J. Neurosci.}, keywords = {lfp, monkey, mt, neurophysiology}, month = {July}, number = {30}, pages = {7779--7790}, posted-at = {2006-07-27 23:48:19}, priority = {2}, title = {Local Field Potential in Cortical Area MT: Stimulus Tuning and Behavioral Correlations}, url = {http://dx.doi.org/10.1523/JNEUROSCI.5052}, volume = {26}, year = {2006} }

TY - JOUR ID - citeulike:776809 L3 - citeulike-article-id:776809 TI - Local Field Potential in Cortical Area MT: Stimulus Tuning and Behavioral Correlations JF - J. Neurosci. VL - 26 IS - 30 SP - 7779 EP - 7790 N2 - Low-frequency electrical signals like those that compose the local field potential (LFP) can be detected at substantial distances from their point of origin within the brain. It is thus unclear how useful the LFP might be for assessing local function, for example, on the spatial scale of cortical columns. We addressed this problem by comparing speed and direction tuning of LFPs obtained from middle temporal area MT with the tuning of multiunit (MU) activity recorded simultaneously. We found that the LFP can be well tuned for speed and direction and is highly correlated with that of MU activity, particularly for frequencies at and above the gamma band. LFP tuning is substantially poorer for lower frequencies, although tuning for direction extends to lower frequencies than does tuning for speed. Our data suggest that LFP signals at and above the gamma band reflect neural processing on the spatial scale of cortical columns, within a few hundred micrometers of the electrode tip. Consistent with this notion, we also found that frequencies at and above the gamma band measured during a speed discrimination task exhibit an effect known as "choice probability," which reveals a particularly close relationship between neural activity and behavioral choices. In the LFP, this signature of the perceptual choice comprises a shift in relative power from low-frequency bands ({alpha} and [beta]) to the gamma band. It remains to be determined how LFP choice probability, which is a temporal signature, is related to conventional choice probability effects observed in spike rates. 10.1523/JNEUROSCI.5052-05.2006 KW - lfp KW - monkey KW - mt KW - neurophysiology AU - Liu, Jing AU - Newsome, William PY - 2006/07/26/ UR - http://dx.doi.org/10.1523/JNEUROSCI.5052 ER -