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.

Concomitant Single Neuron Activity, Local Field Potentials, and Cerebral Microdialysis in Neurosurgical Patients

Neurosurgery ◽  
1998 ◽  
Vol 43 (3) ◽  
pp. 706-706 ◽  
Author(s):  
Itzhak Fried ◽  
Eric Behnke ◽  
Nigel Maidment ◽  
Anatole Bragin ◽  
Katherine MacDonald ◽  
...  
Keyword(s):  
Local Field ◽  
Single Neuron ◽  
Local Field Potentials ◽  
Cerebral Microdialysis ◽  
Neuron Activity ◽  
Field Potentials ◽  
Neurosurgical Patients ◽  
Single Neuron Activity

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 Aging and Learning-Specific Changes in Single-Neuron Activity in CA1 Hippocampus During Rabbit Trace Eyeblink Conditioning

2001 ◽  
Vol 86 (4) ◽  
pp. 1839-1857 ◽  
Author(s):  
Matthew D. McEchron ◽  
Aldis P. Weible ◽  
John F. Disterhoft
Keyword(s):  
Pyramidal Cell ◽  
Single Neuron ◽  
Eyeblink Conditioning ◽  
Pyramidal Cells ◽  
Trace Conditioning ◽  
Neuron Activity ◽  
Single Neurons ◽  
Cell Firing ◽  
Trace Eyeblink Conditioning ◽  
Single Neuron Activity

Rabbit trace eyeblink conditioning is a hippocampus-dependent task in which the auditory conditioned stimulus (CS) is separated from the corneal airpuff unconditioned stimulus (US) by a 500-ms empty trace interval. Young rabbits are able to associate the CS and US and acquire trace eyeblink conditioned responses (CRs); however, a subset of aged rabbits show poor learning on this task. Several studies have shown that CA1-hippocampal activity is altered by aging; however, it is unknown how aging affects the interaction of CA1 single neurons within local ensembles during learning. The present study examined the extracellular activity of CA1 pyramidal neurons within local ensembles in aged (29–34 mo) and young (3–6 mo) rabbits during 10 daily sessions (80 trials/session) of trace eyeblink conditioning. A single surgically implanted nonmovable stereotrode was used to record ensembles ranging in size from 2 to 12 separated single neurons. A total of six young and four aged rabbits acquired significant levels of CRs, whereas five aged rabbits showed very few CRs similar to a group of five young pseudoconditioned rabbits. Pyramidal cells (2,159 total) were recorded from these four groups during training. Increases in CA1 pyramidal cell firing to the CS and US were diminished in the aged nonlearners. Local ensembles from all groups contained heterogeneous types of pyramidal cell responses. Some cells showed increases while others showed decreases in firing during the trace eyeblink trial. Hierarchical clustering was used to isolate seven different classes of single-neuron responses that showed unique firing patterns during the trace conditioning trial. The proportion of cells in each group was similar for six of seven response classes. Unlike the excitatory modeling patterns reported in previous studies, three of seven response types (67% of recorded cells) exhibited some type of inhibitory decrease to the CS, US, or both. The single-neuron response classes showed different patterns of learning-related activity across training. Several of the single-neuron types from the aged nonlearners showed unique alterations in response magnitude to the CS and US. Cross-correlation analyses suggest that specific single-neuron types provide more correlated single-neuron activity to the ensemble processing of information. However, aged nonlearners showed a significantly lower level of coincident pyramidal cell firing for all cell types within local ensembles in CA1.

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