scholarly journals Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex

2016 ◽  
Author(s):  
Bartosz Teleńczuk ◽  
Nima Dehghani ◽  
Michel Le Van Quyen ◽  
Sydney S. Cash ◽  
Eric Halgren ◽  
...  
Keyword(s):  
Local Field ◽  
Hippocampal Slices ◽  
Field Potential ◽  
Inhibitory Neuron ◽  
Electrode Array ◽  
Spatial Filter ◽  
Neuron Activity ◽  
Large Populations ◽  
Single Spike ◽  
Spatio Temporal

ABSTRACTThe local field potential (LFP) is generated by large populations of neurons, but unitary contribution of spiking neurons to LFP is not well characterised. We investigated this contribution in multi-electrode array recordings from human and monkey neocortex by examining the spike-triggered LFP average (st-LFP). The resulting st-LFPs were dominated by broad spatio-temporal components due to ongoing activity, synaptic inputs and recurrent connectivity. To reduce the spatial reach of the st-LFP and observe the local field related to a single spike we applied a spatial filter, whose weights were adapted to the covariance of ongoing LFP. The filtered st-LFPs were limited to the perimeter of 800 μm around the neuron, and propagated at axonal speed, which is consistent with their unitary nature. In addition, we discriminated between putative inhibitory and excitatory neurons and found that the inhibitory st-LFP peaked at shorter latencies, consistently with previous findings in hippocampal slices. Thus, in human and monkey neocortex, the LFP reflects primarily inhibitory neuron activity.

Analysis of LFP Phase Predicts Sensory Response of Barrel Cortex

2006 ◽  
Vol 96 (3) ◽  
pp. 1658-1663 ◽  
Author(s):  
R. Haslinger ◽  
I. Ulbert ◽  
C. I. Moore ◽  
E. N. Brown ◽  
A. Devor
Keyword(s):  
Barrel Cortex ◽  
Temporal Dynamics ◽  
Field Potential ◽  
Electrode Array ◽  
Sensory Response ◽  
Strong Function ◽  
Large Populations ◽  
Up And Down States ◽  
Sensory Evoked ◽  
Local Field Potential Lfp

Several previous studies have shown the existence of Up and Down states and have linked their magnitude (e.g., depolarization level) to the size of sensory-evoked responses. Here, we studied how the temporal dynamics of such states influence the sensory-evoked response to vibrissa deflection. Under α-chloralose anesthesia, barrel cortex exhibits strong quasi-periodic ∼1-Hz local field potential (LFP) oscillations generated by the synchronized fluctuation of large populations of neurons between depolarized (Up) and hyperpolarized (Down) states. Using a linear depth electrode array, we recorded the LFP and multiunit activity (MUA) simultaneously across multiple layers of the barrel column and used the LFP to approximate the subthreshold Up–Down fluctuations. Our central finding is that the MUA response is a strong function of the LFP oscillation’s phase. When only ongoing LFP magnitude was considered, the response was largest in the Down state, in agreement with previous studies. However, consideration of the LFP phase revealed that the MUA response varied smoothly as a function of LFP phase in a manner that was not monotonically dependent on LFP magnitude. The LFP phase is therefore a better predictor of the MUA response than the LFP magnitude is. Our results suggest that, in the presence of ongoing oscillations, there can be a continuum of response properties and that each phase may, at times, need to be considered a distinct cortical state.

scholarly journals Defective Excitatory/Inhibitory Synaptic Balance and Increased Neuron Apoptosis in a Zebrafish Model of Dravet Syndrome

Cells ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1199 ◽  
Author(s):  
Alexandre Brenet ◽  
Rahma Hassan-Abdi ◽  
Julie Somkhit ◽  
Constantin Yanicostas ◽  
Nadia Soussi-Yanicostas
Keyword(s):  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Dravet Syndrome ◽  
Inhibitory Synapses ◽  
Neuron Activity ◽  
Loss Of Function ◽  
Zebrafish Model ◽  
Neuron Apoptosis

Dravet syndrome is a type of severe childhood epilepsy that responds poorly to current anti-epileptic drugs. In recent years, zebrafish disease models with Scn1Lab sodium channel deficiency have been generated to seek novel anti-epileptic drug candidates, some of which are currently undergoing clinical trials. However, the spectrum of neuronal deficits observed following Scn1Lab depletion in zebrafish larvae has not yet been fully explored. To fill this gap and gain a better understanding of the mechanisms underlying neuron hyperexcitation in Scn1Lab-depleted larvae, we analyzed neuron activity in vivo using combined local field potential recording and transient calcium uptake imaging, studied the distribution of excitatory and inhibitory synapses and neurons as well as investigated neuron apoptosis. We found that Scn1Lab-depleted larvae displayed recurrent epileptiform seizure events, associating massive synchronous calcium uptakes and ictal-like local field potential bursts. Scn1Lab-depletion also caused a dramatic shift in the neuronal and synaptic balance toward excitation and increased neuronal death. Our results thus provide in vivo evidence suggesting that Scn1Lab loss of function causes neuron hyperexcitation as the result of disturbed synaptic balance and increased neuronal apoptosis.

scholarly journals Defective excitatory/inhibitory synaptic balance and increased neuron apoptosis in a zebrafish model of Dravet syndrome

2019 ◽  
Author(s):  
Alexandre Brenet ◽  
Rahma Hassan-Abdi ◽  
Julie Somkhit ◽  
Constantin Yanicostas ◽  
Nadia Soussi-Yanicostas
Keyword(s):  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Dravet Syndrome ◽  
Inhibitory Synapses ◽  
Neuron Activity ◽  
Loss Of Function ◽  
Zebrafish Model ◽  
Neuron Apoptosis

AbstractDravet syndrome is a type of severe childhood epilepsy that responds poorly to current anti-epileptic drugs. In recent years, zebrafish disease models with Scn1Lab sodium channel deficiency have been generated to seek novel anti-epileptic drug candidates, some of which are currently undergoing clinical trials. However, the spectrum of neuronal deficits observed following Scn1Lab depletion in zebrafish larvae has not yet been fully explored. To fill this gap and gain a better understanding of the mechanisms underlying neuron hyperexcitation in Scn1Lab-depleted larvae, we analyzed neuron activity in vivo using combined local field potential recording and transient calcium uptake imaging, studied the distribution of excitatory and inhibitory synapses and neurons as well as investigated neuron apoptosis. We found that Scn1Lab-depleted larvae displayed recurrent epileptiform seizure events, associating massive synchronous calcium uptakes and ictal-like local field potential bursts. Scn1Lab-depletion also caused a dramatic shift in the neuronal and synaptic balance toward excitation and increased neuronal death. Our results thus provide in vivo evidence suggesting that Scn1Lab loss of function causes neuron hyperexcitation as the result of disturbed synaptic balance and increased neuronal apoptosis.

scholarly journals Decoupling Action Potential Bias from Cortical Local Field Potentials

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Stephen V. David ◽  
Nicolas Malaval ◽  
Shihab A. Shamma
Keyword(s):  
Local Field ◽  
Field Potential ◽  
Primary Auditory Cortex ◽  
Neuronal Population ◽  
Neuron Activity ◽  
Small Subset ◽  
Population Activity ◽  
Local Field Potential Lfp ◽  
Single Neuron Activity ◽  
Filtering Procedure

Neurophysiologists have recently become interested in studying neuronal population activity through local field potential (LFP) recordings during experiments that also record the activity of single neurons. This experimental approach differs from early LFP studies because it uses high impendence electrodes that can also isolate single neuron activity. A possible complication for such studies is that the synaptic potentials and action potentials of the small subset of isolated neurons may contribute disproportionately to the LFP signal, biasing activity in the larger nearby neuronal population to appear synchronous and cotuned with these neurons. To address this problem, we used linear filtering techniques to remove features correlated with spike events from LFP recordings. This filtering procedure can be applied for well-isolated single units or multiunit activity. We illustrate the effects of this correction in simulation and on spike data recorded from primary auditory cortex. We find that local spiking activity can explain a significant portion of LFP power at most recording sites and demonstrate that removing the spike-correlated component can affect measurements of auditory tuning of the LFP.

scholarly journals Amygdala input differentially influences prefrontal local field potential and single neuron encoding of reward-based decisions

2017 ◽  
Author(s):  
Frederic M. Stoll ◽  
Clayton P. Mosher ◽  
Sarita Tamang ◽  
Elisabeth A. Murray ◽  
Peter H. Rudebeck
Keyword(s):  
Local Field ◽  
Single Neuron ◽  
Field Potential ◽  
Neuron Activity ◽  
Single Neurons ◽  
Stimulus Choice ◽  
Reward Value ◽  
Before And After ◽  
Amygdala Lesions ◽  
Single Neuron Activity

ABSTRACTReward-guided behaviors require functional interaction between amygdala, orbital (OFC), and medial (MFC) divisions of prefrontal cortex, but the neural mechanisms underlying these interactions are unclear. Here, we used a decoding approach to analyze local field potentials (LFPs) recorded from OFC and MFC of monkeys engaged in a stimulus-choice task, before and after excitotoxic amygdala lesions. Whereas OFC LFP responses were strongly modulated by the amount of reward associated with each stimulus, MFC responses best represented which stimulus subjects decided to choose. This was counter to what we observed in the level of single neurons where their activity was closely associated with the value of the stimuli presented on each trial. After lesions of the amygdala, stimulus-reward value and choice encoding were reduced in OFC and MFC, respectively. However, while the lesion-induced decrease in OFC LFP encoding of stimulus-reward value mirrored changes in single neuron activity, reduced choice encoding in MFC LFPs was distinct from changes in single neuron activity. Thus, LFPs and single neurons represent different information required for decision-making in OFC and MFC. At the circuit-level, amygdala input to these two areas play a distinct role in stimulus-reward encoding in OFC and choice encoding in MFC.

scholarly journals Saccade angle modulates correlation between the local field potential and cerebellar Purkinje neuron activity

2013 ◽  
Vol 14 (S1) ◽  
Author(s):  
Sungho Hong ◽  
Mario Negrello ◽  
Marc A Junker ◽  
Peter Thier ◽  
Erik De Schutter
Keyword(s):  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Purkinje Neuron ◽  
Neuron Activity ◽  
Cerebellar Purkinje Neuron

scholarly journals Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Bartosz Teleńczuk ◽  
Nima Dehghani ◽  
Michel Le Van Quyen ◽  
Sydney S. Cash ◽  
Eric Halgren ◽  
...  
Keyword(s):  
Local Field ◽  
Local Field Potentials ◽  
Inhibitory Neuron ◽  
Neuron Activity ◽  
Field Potentials
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