Alpha and broadband high‐frequency activity track task dynamics and predict performance in controlled decision‐making

2021 ◽  
Author(s):  
Saskia Haegens ◽  
Yagna J. Pathak ◽  
Elliot H. Smith ◽  
Charles B. Mikell ◽  
Garrett P. Banks ◽  
...  
Keyword(s):  
Decision Making ◽  
High Frequency ◽  
High Frequency Activity

scholarly journals Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zekun Xu ◽  
Eric Laber ◽  
Ana-Maria Staicu ◽  
B. Duncan X. Lascelles
Keyword(s):  
High Frequency ◽  
Activity Patterns ◽  
Treatment Strategies ◽  
Therapeutic Effects ◽  
Activity Levels ◽  
Activity Data ◽  
Novel Approach ◽  
High Frequency Activity ◽  
Using Data ◽  
Chronic Pain Conditions

AbstractOsteoarthritis (OA) is a chronic condition often associated with pain, affecting approximately fourteen percent of the population, and increasing in prevalence. A globally aging population have made treating OA-associated pain as well as maintaining mobility and activity a public health priority. OA affects all mammals, and the use of spontaneous animal models is one promising approach for improving translational pain research and the development of effective treatment strategies. Accelerometers are a common tool for collecting high-frequency activity data on animals to study the effects of treatment on pain related activity patterns. There has recently been increasing interest in their use to understand treatment effects in human pain conditions. However, activity patterns vary widely across subjects; furthermore, the effects of treatment may manifest in higher or lower activity counts or in subtler ways like changes in the frequency of certain types of activities. We use a zero inflated Poisson hidden semi-Markov model to characterize activity patterns and subsequently derive estimators of the treatment effect in terms of changes in activity levels or frequency of activity type. We demonstrate the application of our model, and its advance over traditional analysis methods, using data from a naturally occurring feline OA-associated pain model.

scholarly journals High-frequency activity in experimental and clinical epileptic foci

2011 ◽  
Vol 97 (3) ◽  
pp. 300-307 ◽  
Author(s):  
Premysl Jiruska ◽  
Anatol Bragin
Keyword(s):  
High Frequency ◽  
High Frequency Activity

scholarly journals Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC

2018 ◽  
Vol 28 (18) ◽  
pp. 2889-2899.e3 ◽  
Author(s):  
Ignacio Saez ◽  
Jack Lin ◽  
Arjen Stolk ◽  
Edward Chang ◽  
Josef Parvizi ◽  
...  
Keyword(s):  
High Frequency ◽  
High Frequency Activity

Effects of high-frequency activity on latent heat flux of MJO

2018 ◽  
Vol 52 (3-4) ◽  
pp. 1471-1485 ◽  
Author(s):  
Yingxia Gao ◽  
Pang-Chi Hsu ◽  
Tim Li
Keyword(s):  
Heat Flux ◽  
Latent Heat ◽  
Latent Heat Flux ◽  
High Frequency ◽  
High Frequency Activity

scholarly journals Probabilistic mapping of language networks from high frequency activity induced by direct electrical stimulation

2020 ◽  
Vol 41 (14) ◽  
pp. 4113-4126 ◽  
Author(s):  
Marcela Perrone‐Bertolotti ◽  
Sarah Alexandre ◽  
Anne‐Sophie Jobb ◽  
Luca De Palma ◽  
Monica Baciu ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
High Frequency ◽  
Direct Electrical Stimulation ◽  
Probabilistic Mapping ◽  
High Frequency Activity

scholarly journals Slow spindles are associated with cortical high frequency activity

IBRO Reports ◽  
2019 ◽  
Vol 6 ◽  
pp. S539
Author(s):  
Maryam Ghorbani ◽  
Nasrin Sadat Hashemi ◽  
Fereshteh Dehnavi ◽  
Sahar Moghimi
Keyword(s):  
High Frequency ◽  
High Frequency Activity

Identification of the sleep–wake states in rats using the high‐frequency activity of the electroencephalogram

2020 ◽  
Author(s):  
Manuel Silva‐Pérez ◽  
Alvaro Sánchez‐López ◽  
Natalia Pompa‐del‐Toro ◽  
Miguel Escudero
Keyword(s):  
High Frequency ◽  
High Frequency Activity

Neuronal Aggregate Formation Underlies Spatiotemporal Dynamics of Nonsynaptic Seizure Initiation

2003 ◽  
Vol 89 (4) ◽  
pp. 2330-2333 ◽  
Author(s):  
Marom Bikson ◽  
John E. Fox ◽  
John G. R. Jefferys
Keyword(s):  
Synaptic Transmission ◽  
Gap Junctions ◽  
High Frequency ◽  
Formation Rate ◽  
Simultaneous Recording ◽  
Aggregate Formation ◽  
Seizure Onset ◽  
Electrographic Seizures ◽  
High Frequency Activity

High-frequency activity often precedes seizure onset. We found that electrographic seizures, induced in vitro using the low-Ca2+ model, start with high-frequency (>150 Hz) activity that then decreases in frequency while increasing in amplitude. Multichannel and unit recordings showed that the mechanism of this transition was the progressive formation of larger neuronal aggregates. Thus the apparenthigh-frequency activity, at seizure onset, can reflect the simultaneous recording of several slower firing aggregates. Aggregate formation rate can be accelerated by reducing osmolarity. Because synaptic transmission is blocked when extracellular Ca2+ is reduced, nonsynaptic mechanisms (gap junctions, field effects) must be sufficient for aggregate formation and recruitment.

Synaptic Activation of Dendritic AMPA and NMDA Receptors Generates Transient High-Frequency Firing in Substantia Nigra Dopamine Neurons In Vitro

2007 ◽  
Vol 97 (4) ◽  
pp. 2837-2850 ◽  
Author(s):  
Sarah N. Blythe ◽  
Jeremy F. Atherton ◽  
Mark D. Bevan
Keyword(s):  
Nmda Receptor ◽  
Substantia Nigra ◽  
Action Potential ◽  
Nmda Receptors ◽  
High Frequency ◽  
Brain Slices ◽  
Dopamine Neurons ◽  
Frequency Pattern ◽  
High Frequency Activity ◽  
Evoked Activity

Transient high-frequency activity of substantia nigra dopamine neurons is critical for striatal synaptic plasticity and associative learning. However, the mechanisms underlying this mode of activity are poorly understood because, in contrast to other rapidly firing neurons, high-frequency activity is not evoked by somatic current injection. Previous studies have suggested that activation of dendritic N-methyl-d-aspartate (NMDA) receptors and/or G-protein-coupled receptor (GPCR)-mediated reduction of action potential afterhyperpolarization and/or activation of cation channels underlie high-frequency activity. To address their relative contribution, transient high-frequency activity was evoked using local electrical stimulation (1 s, 10–100 Hz) in brain slices prepared from p15–p25 rats in the presence of GABA and D2 dopamine receptor antagonists. The frequency, pattern, and morphology of action potentials evoked under these conditions were similar to those observed in vivo. Evoked activity and reductions in action potential afterhyperpolarization were diminished greatly by application of alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) or NMDA receptor selective antagonists and abolished completely by co-application of AMPA and NMDA antagonists. In contrast, application of glutamatergic and cholinergic GPCR antagonists moderately enhanced evoked activity. Dendritic pressure-pulse application of glutamate evoked high-frequency activity that was similarly sensitive to antagonism of AMPA or NMDA receptors. Taken together, these data suggest that dendritic AMPA and NMDA receptor-mediated synaptic conductances are sufficient to generate transient high-frequency activity in substantia nigra dopamine neurons by rapidly but transiently overwhelming the conductances underlying action potential afterhyperpolarization and/or engaging postsynaptic voltage-dependent ion channels in a manner that overcomes the limiting effects of afterhyperpolarization.

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