An Olfacto-Hippocampal Network Is Dynamically Involved in Odor-Discrimination Learning

2007 ◽  
Vol 98 (4) ◽  
pp. 2196-2205 ◽  
Author(s):  
Claire Martin ◽  
Jennifer Beshel ◽  
Leslie M. Kay
Keyword(s):  
Discrimination Learning ◽  
Local Field ◽  
Memory Consolidation ◽  
Olfactory System ◽  
Field Potential ◽  
Ventral Hippocampus ◽  
Odor Discrimination ◽  
Oscillatory Activity ◽  
Beta Band ◽  
Odor Learning

Several studies have shown that memory consolidation relies partly on interactions between sensory and limbic areas. The functional loop formed by the olfactory system and the hippocampus represents an experimentally tractable model that can provide insight into this question. It had been shown previously that odor-learning associated beta band oscillations (15–30 Hz) of the local field potential in the rat olfactory system are enhanced with criterion performance, but it was unknown if these involve networks beyond the olfactory system. We recorded local field potentials from the olfactory bulb (OB) and dorsal and ventral hippocampus during acquisition of odor discriminations in a go/no-go task. These regions showed increased beta oscillation power during odor sampling, accompanied by a coherence increase in this frequency band between the OB and both hippocampal subfields. This coherence between the OB and the hippocampus increased with the onset of the first rule transfer to a new odor set and remained high for all learning phases and subsequent odor sets. However, coherence between the two hippocampal fields reset to baseline levels with each new odor set and increased again with criterion performance. These data support hippocampal involvement in the network underlying odor-discrimination learning and also suggest that cooperation between the dorsal and ventral hippocampus varies with learning progress. Oscillatory activity in the beta range may thus provide a mechanism by which these areas are linked during memory consolidation, similar to proposed roles of beta oscillations in other systems with long-range connections.

scholarly journals Sensory feedback-dependent coding of arm position in local field potentials of the posterior parietal cortex

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Paul VanGilder ◽  
Ying Shi ◽  
Gregory Apker ◽  
Christopher A. Buneo
Keyword(s):  
Local Field ◽  
Sensory Feedback ◽  
Posterior Parietal Cortex ◽  
Spectral Power ◽  
Field Potential ◽  
Beta Activity ◽  
Beta Band ◽  
Arm Position ◽  
Multisensory Interactions ◽  
Spiking Activity

AbstractAlthough multisensory integration is crucial for sensorimotor function, it is unclear how visual and proprioceptive sensory cues are combined in the brain during motor behaviors. Here we characterized the effects of multisensory interactions on local field potential (LFP) activity obtained from the superior parietal lobule (SPL) as non-human primates performed a reaching task with either unimodal (proprioceptive) or bimodal (visual-proprioceptive) sensory feedback. Based on previous analyses of spiking activity, we hypothesized that evoked LFP responses would be tuned to arm location but would be suppressed on bimodal trials, relative to unimodal trials. We also expected to see a substantial number of recording sites with enhanced beta band spectral power for only one set of feedback conditions (e.g. unimodal or bimodal), as was previously observed for spiking activity. We found that evoked activity and beta band power were tuned to arm location at many individual sites, though this tuning often differed between unimodal and bimodal trials. Across the population, both evoked and beta activity were consistent with feedback-dependent tuning to arm location, while beta band activity also showed evidence of response suppression on bimodal trials. The results suggest that multisensory interactions can alter the tuning and gain of arm position-related LFP activity in the SPL.

Chemical Factors Determine Olfactory System Beta Oscillations in Waking Rats

2007 ◽  
Vol 98 (1) ◽  
pp. 394-404 ◽  
Author(s):  
Catherine A. Lowry ◽  
Leslie M. Kay
Keyword(s):  
Olfactory Bulb ◽  
Vapor Pressure ◽  
Vapor Phase ◽  
Local Field ◽  
Olfactory System ◽  
Piriform Cortex ◽  
Field Potential ◽  
Gamma Oscillations ◽  
Beta Oscillations ◽  
Phase Concentration

Recent studies have pointed to olfactory system beta oscillations of the local field potential (15–30 Hz) and their roles both in learning and as specific responses to predator odors. To describe odorant physical properties, resultant behavioral responses and changes in the central olfactory system that may induce these oscillations without associative learning, we tested rats with 26 monomolecular odorants spanning 6 log units of theoretical vapor pressure (estimate of relative vapor phase concentration) and 10 different odor mixtures. We found odorant vapor phase concentration to be inversely correlated with investigation time on the first presentation, after which investigation times were brief and not different across odorants. Analysis of local field potentials from the olfactory bulb and anterior piriform cortex shows that beta oscillations in waking rats occur specifically in response to the class of volatile organic compounds with vapor pressures of 1–120 mmHg. Beta oscillations develop over the first three to four presentations and are weakly present for some odorants in anesthetized rats. Gamma oscillations show a smaller effect that is not restricted to the same range of odorants. Olfactory bulb theta oscillations were also examined as a measure of effective afferent input strength, and the power of these oscillations did not vary systematically with vapor pressure, suggesting that it is not olfactory bulb drive strength that determines the presence of beta oscillations. Theta band coherence analysis shows that coupling strength between the olfactory bulb and piriform cortex increases linearly with vapor phase concentration, which may facilitate beta oscillations above a threshold.

scholarly journals How Global Are Olfactory Bulb Oscillations?

2010 ◽  
Vol 104 (3) ◽  
pp. 1768-1773 ◽  
Author(s):  
Leslie M. Kay ◽  
Philip Lazzara
Keyword(s):  
Olfactory Bulb ◽  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Beta Band ◽  
Recording Site ◽  
Potential Oscillations ◽  
Frequency Bands ◽  
Surface Electrodes ◽  
Analysis Window

Previous studies in waking animals have shown that the frequency structure of olfactory bulb (OB) local field potential oscillations is very similar across the OB, but large low-impedance surface electrodes may have favored highly coherent events, averaging out local inhomogeneities. We tested the hypothesis that OB oscillations represent spatially homogeneous phenomena at all scales. We used pairs of concentric electrodes (200 μm outer shaft surrounding an inner 2–3 μm recording site) beginning on the dorsal OB at anterior and medial locations in urethane-anesthetized rats and measured local field potential responses at successive 200 μm depths before and during odor stimulation. Within locations (outer vs. inner lead on a single probe), on the time scale of 0.5 s, coherence in all frequency bands was significant, but on larger time scales (10 s), only respiratory (1–4 Hz) and beta (15–30 Hz) oscillations showed prominent peaks. Across locations, coherence in all frequency bands was significantly lower for both sizes of electrodes at all depths but the most superficial 600 μm. Near the pial surface, coherence across outer (larger) electrodes at different sites was equal to coherence across outer and inner (small) electrodes within a single site and larger than coherence across inner electrodes at different sites. Overall, the beta band showed the largest coherence across bulbar sites and electrodes. Therefore larger electrodes at the surface of the OB favor globally coherent events, and at all depths, coherence depends on the type of oscillation (beta or gamma) and duration of the analysis window.

scholarly journals Neuronal rhythms orchestrate cell assembles to distinguish perceptual categories

2017 ◽  
Author(s):  
Morteza Moazami Goudarzi ◽  
Jason Cromer ◽  
Jefferson Roy ◽  
Earl K. Miller
Keyword(s):  
Prefrontal Cortex ◽  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Beta Band ◽  
Lateral Prefrontal Cortex ◽  
Category Information ◽  
Oscillatory Rhythms ◽  
Field Coherence ◽  
Local Field Potential Lfp

AbstractCategories are reflected in the spiking activity of neurons. However, how neurons form ensembles for categories is unclear. To address this, we simultaneously recorded spiking and local field potential (LFP) activity in the lateral prefrontal cortex (lPFC) of monkeys performing a delayed match to category task with two independent category sets (Animals: Cats vs Dogs; Cars: Sports Cars vs Sedans). We found stimulus and category information in alpha and beta band oscillations. Different category distinctions engaged different frequencies. There was greater spike field coherence (SFC) in alpha (∼8-14 Hz) for Cats and in beta (∼16-22 Hz) for Dogs. Cars showed similar differences, albeit less pronounced: greater alpha SFC for Sedans and greater beta SFC for Sports Cars. Thus, oscillatory rhythms can help coordinate neurons into different ensembles. Engagement of different frequencies may help differentiate the categories.

Spiking Activity in the Auditory Cortex Is Synchronized to Beta-Band Local Field Potential Oscillations

2018 ◽  
Author(s):  
Francisco Garcca-Rosales ◽  
Lisa M. Martin ◽  
M. Jerome Beetz ◽  
Yuranny Cabral-Calderrn ◽  
Manfred KKssl ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Beta Band ◽  
Potential Oscillations ◽  
Spiking Activity

scholarly journals A Novel Method for Calculating Beta Band Burst Durations in Parkinson’s Disease Using a Physiological Baseline

2020 ◽  
Author(s):  
RW Anderson ◽  
RS Neuville ◽  
YM Kehnemouyi ◽  
CM Anidi ◽  
MN Petrucci ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Local Field ◽  
Neural Activity ◽  
Local Field Potential ◽  
Field Potential ◽  
Burst Duration ◽  
Center Frequency ◽  
Beta Band ◽  
Novel Method

ABSTRACTBackgroundPathological bursts of neural activity in Parkinson’s disease present as exaggerated subthalamic neuronal oscillations in the 8-30 Hz frequency range and are related to motor impairment.New MethodThis study introduces a novel method for determining burst dynamics using a baseline that matches physiological 1/f spectrum activity. We used resting state local field potentials from people with Parkinson’s disease and a simulated 1/f signal to measure beta burst durations, to demonstrate how tuning parameters (i.e., bandwidth and center frequency) affect burst durations, to compare this with high power threshold methods, and to study the effect of increasing neurostimulation intensities on burst duration.ResultsBurst durations calculated using the Anderson method captured the longest and broadest distribution of burst durations in a pathological beta band compared to previous methods. Mean beta band burst durations were significantly shorter on compared to off neurostimulation (p = 0.011), and their distribution was shifted towards that of the physiological 1/f spectrum during increasing intensities of stimulation.Comparison with Existing MethodExisting methods of measuring local field potential power either lack temporal specificity to detect bursts (power spectral density diagrams and spectrograms) or include only higher power bursts and portions of the neural signal.ConclusionsWe suggest that this novel method is well suited to quantify the full range of fluctuations in beta band neural activity in the Parkinsonian brain. This method may reveal more relevant feedback biomarkers than averaged beta band power for future closed loop algorithms.HighlightsA novel method for measuring variability in subthalamic local field potential oscillations in Parkinson’s disease using a physiological baseline of power.Modeling normal brain activity using a physiological 1/f spectrum.Burst durations depend on choice of bandwidth and center frequency.Defining an inert frequency band whose mean burst duration overlap the physiological 1/f spectrum, from which the baseline was determined.Burst durations progressively shortened during increasing intensities of deep brain stimulation.

Local Field Potential Oscillations in Primate Cerebellar Cortex During Voluntary Movement

1997 ◽  
Vol 78 (6) ◽  
pp. 3502-3507 ◽  
Author(s):  
Jean-Pierre Pellerin ◽  
Yves Lamarre
Keyword(s):  
Cerebellar Cortex ◽  
Local Field ◽  
Local Field Potential ◽  
Voluntary Movement ◽  
Field Potential ◽  
Granular Cell ◽  
Oscillatory Activity ◽  
Potential Oscillations ◽  
Auditory Cue ◽  
Modulation Pattern

Pellerin, Jean-Pierre and Yves Lamarre. Local field potential oscillations in primate cerebellar cortex during voluntary movement. J. Neurophysiol. 78: 3502–3507, 1997. Sustained oscillations of 13–18 Hz were observed in local field potentials (LFPs) in the cerebellar cortex of a behaving monkey. These oscillations, which appeared to be generated in the granular cell layer, were particularly prominent in the paramedian lobule. The oscillatory activity decreased during drowsiness or extreme arousal and occurred most often when the animal was immobile but alert. In a task requiring the animal to move the arm ∼1 s after an auditory cue, the oscillations stopped some 150–200 ms after the cue, resumed 200–300 ms later, and stopped again 50–100 ms before movement onset. This modulation pattern was observed with consistency only when the animal responded reliably to the auditory cue. The results suggest that the cerebellum could be involved in some higher level of integration particularly during complex sensorimotor behavior.

scholarly journals Long-range neural coherence encodes stimulus information in primate visual cortex

2020 ◽  
Author(s):  
Mojtaba Kermani ◽  
Elizabeth Zavitz ◽  
Brian Oakley ◽  
Nicholas S.C. Price ◽  
Maureen A. Hagan ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Local Field ◽  
Local Field Potential ◽  
Field Potential ◽  
Stimulus Information ◽  
Beta Band ◽  
Orientation Preference ◽  
Orientation Columns ◽  
Marmoset Monkeys

AbstractIn the primary visual cortex, neurons with similar receptive field properties are bound together through widespread networks of horizontal connections that span orientation columns. How connectivity across the cortical surface relates to stimulus information is not fully understood. We recorded spiking activity and the local field potential (LFP) from the primary visual cortex of marmoset monkeys and examined how connectivity between distant orientation columns affect the encoding of visual orientation.Regardless of their spatial separation, recording sites with similar orientation preferences have higher coherence between spiking activity and the local field potential than sites with different preferred orientation. Using information theoretic methods, we measured the amount of stimulus information that is shared between pairs of sites. More stimulus information can be decoded from pairs with the same preferred stimulus orientation than the pairs with a different preferred orientation, and the amount of information is significantly correlated with the magnitude of beta-band spike-LFP coherence. These effects remained after controlling for firing rate differences.Our results thus show that spike-LFP synchronization in the beta-band is associated with the encoding of stimulus information within the primary visual cortex of marmoset monkeys.Significance StatementA fundamental step in processing images in the visual cortex is coordinating the neural activity across distributed populations of neurons. Here, we demonstrate that populations of neurons in the primary visual cortex of marmoset monkeys with the same stimulus orientation preference temporally coordinate their activity patterns when presented with a visual stimulus. We find maximum synchronization in the beta range depends on the similarity of orientation preference at each pair of the neural population.

scholarly journals Two frequency bands contain the most stimulus-related information in visual cortex

2016 ◽  
Author(s):  
Christopher M. Lewis ◽  
Conrado A. Bosman ◽  
Nicolas M. Brunet ◽  
Bruss Lima ◽  
Mark J. Roberts ◽  
...  
Keyword(s):  
Large Scale ◽  
Spatial Scales ◽  
Single Cells ◽  
Field Potential ◽  
Oscillatory Activity ◽  
Natural Scenes ◽  
Beta Band ◽  
Frequency Bands ◽  
Related Information ◽  
Cortical Oscillations

AbstractSensory cortices represent the world through the activity of diversely tuned cells. How the activity of single cells is coordinated within populations and across sensory hierarchies is largely unknown. Cortical oscillations may coordinate local and distributed neuronal groups. Using datasets from intracortical multi-electrode recordings and from large-scale electrocorticography (ECoG) grids, we investigated how visual features could be extracted from the local field potential (LFP) and how this compared with the information available from multi-unit activity (MUA). MUA recorded from macaque V1 contained comparable amounts of information as simultaneously recorded LFP power in two frequency bands, one in the alpha-beta band and the other in the gamma band. ECoG-LFP contained information in the same bands as microelectrode-LFP, even when identifying natural scenes. The fact that information was contained in the same bands in both intracortical and ECoG recordings suggests that oscillatory activity could play similar roles at both spatial scales.

Sign in / Sign up

Export Citation Format

Share Document