Averaged multiple unit activity as an estimate of phasic changes in local neuronal activity: effects of volume-conducted potentials

Legatt, Alan D.; Arezzo, Joseph C.; Vaughan, Herbert G.

doi:10.1016/0165-0270(80)90061-8

Cited by 175 publications

(119 citation statements)

References 14 publications

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“…Nevertheless, the study of MUA may provide insights into brain mechanisms (Buchwald et al, 1965;Eckhorn et al, 1988;Bauer et al, 1995). MUA recordings represent a weighted average of neural activity around the electrode tip in a region smaller than LFP, but larger than SUs (Legatt et al, 1980;Mitzdorf, 1985) (Fig. 4 E).…”

Section: Discussionmentioning

confidence: 99%

“…By computing the root mean square (RMS) in the frequency band of 300 -6000 Hz, one obtains the MUA (see Fig. 1 B), reflecting spiking activity on the order of 100 m away from the recording electrode (Buchwald et al, 1965;Buchwald and Grover, 1970;Legatt et al, 1980). Here we show, for the first time, that the MUA computed without explicit spike detection can be used to predict arm movements.…”

Section: Introductionmentioning

confidence: 97%

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Predicting Movement from Multiunit Activity

Stark¹,

Abeles²

2007

J. Neurosci.

276

257

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Previous studies have shown that intracortical activity can be used to operate prosthetic devices such as an artificial limb. Previously used neuronal signals were either the activity of tens to hundreds of spiking neurons, which are difficult to record for long periods of time, or local field potentials, which are highly correlated with each other. Here, we show that by estimating multiunit activity (MUA), the superimposed activity of many neurons around a microelectrode, and using a small number of electrodes, an accurate prediction of the upcoming movement is obtained. Compared with single-unit spikes, single MUA recordings are obtained more easily and the recordings are more stable over time. Compared with local field potentials, pairs of MUA recordings are considerably less redundant. Compared with any other intracortical signal, single MUA recordings are more informative. MUA is informative even in the absence of spikes. By combining information from multielectrode recordings from the motor cortices of monkeys that performed either discrete prehension or continuous tracing movements, we demonstrate that predictions based on multichannel MUA are superior to those based on either spikes or local field potentials. These results demonstrate that considerable information is retained in the superimposed activity of multiple neurons, and therefore suggest that neurons within the same locality process similar information. They also illustrate that complex movements can be predicted using relatively simple signal processing without the detection of spikes and, thus, hold the potential to greatly expedite the development of motor-cortical prosthetic devices.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Predicting Movement from Multiunit Activity

Stark¹,

Abeles²

2007

J. Neurosci.

276

257

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show abstract

“…28 Thus, MUA and LFP contributions to the BOLD signal could be the result of differences in spatial summation of these neural signals.…”

Section: Regional Differences Of Neurophysiological Responsesmentioning

confidence: 99%

Metabolic demands of neural-hemodynamic associated and disassociated areas in brain

Sanganahalli

Hermán

Rothman

et al. 2016

J Cereb Blood Flow Metab

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Interpretation of regional blood oxygenation level-dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) is contingent on whether local field potential (LFP) and multi-unit activity (MUA) is either dissociated or associated. To examine whether neural-hemodynamic associated and dissociated areas have different metabolic demands, we recorded sensory-evoked responses of BOLD signal, blood flow (CBF), and blood volume (CBV), which with calibrated fMRI provided oxidative metabolism (CMR O2 ) from rat's ventral posterolateral thalamic nucleus (VPL) and somatosensory forelimb cortex (S1 FL ) and compared these neuroimaging signals to neurophysiological recordings. MUA faithfully recorded evoked latency differences between VPL and S1 FL because evoked MUA in these regions were similar in magnitude. Since evoked LFP was significantly attenuated in VPL, we extracted the time courses of the weaker thalamic LFP to compare with the stronger cortical LFP using wavelet transform. BOLD and CBV responses were greater in S1 FL than in VPL, similar to LFP regional differences. CBF and CMR O2 responses were both comparably larger in S1 FL and VPL. Despite different levels of CBF-CMR O2 and LFP-MUA couplings in VPL and S1 FL , the CMR O2 was well matched with MUA in both regions. These results suggest that neural-hemodynamic associated and dissociated areas in VPL and S1 FL can have similar metabolic demands.

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“…The amplitude and width of the positive oxygen response increases monotonically with stimulus duration. Note that the large surround stimulus is outside the classical RF so that the weak spike discharge observed is likely to be dissociated from the oxygen responses (Legatt et al, 1980;Thompson et al, 2005).…”

Section: Stimulus-induced Oxygen and Multiunit Neural Responses In Thementioning

confidence: 99%

High-Resolution Neurometabolic Coupling in the Lateral Geniculate Nucleus

Li¹,

Freeman²

2007

J. Neurosci.

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The relationships between neural and metabolic processes in activated brain regions are central to the interpretation of noninvasive imaging. To examine this relationship, we have used a specialized sensor to measure simultaneously tissue oxygen changes and neural activity in colocalized regions of the cat's lateral geniculate nucleus (LGN). Previous work with this sensor has shown that a decrease or increase in tissue oxygen can be elicited by selective control of the location and extent of neural activation in the LGN. In the current study, to evaluate the temporal integration and homogeneity of neurometabolic coupling, we have determined the relationship between multiunit extracellular neural activity and tissue oxygen responses to visual stimuli of various durations and contrasts. Our results show that the negative but not the positive oxygen response changes in an approximately linear manner with stimulus duration. The relationship between the negative oxygen response and neural activity is relatively constant with stimulus duration. Moreover, both negative and positive oxygen responses saturate at high stimulus contrast levels. Coupling between neural activity and negative oxygen responses is well described by a power law function. These results help elucidate differences between the initial negative and subsequent positive metabolic responses and may be directly relevant to questions concerning brain mapping with functional magnetic resonance imaging.

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Averaged multiple unit activity as an estimate of phasic changes in local neuronal activity: effects of volume-conducted potentials

Cited by 175 publications

References 14 publications

Predicting Movement from Multiunit Activity

Predicting Movement from Multiunit Activity

Metabolic demands of neural-hemodynamic associated and disassociated areas in brain

High-Resolution Neurometabolic Coupling in the Lateral Geniculate Nucleus

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