scholarly journals Distinct Inhibitory Circuits Orchestrate Cortical beta and gamma Band Oscillations

Neuron ◽  
2017 ◽  
Vol 96 (6) ◽  
pp. 1403-1418.e6 ◽  
Author(s):  
Guang Chen ◽  
Yuan Zhang ◽  
Xiang Li ◽  
Xiaochen Zhao ◽  
Qian Ye ◽  
...  
Keyword(s):  
Gamma Band ◽  
Inhibitory Circuits ◽  
Gamma Band Oscillations

Neurobiology of REM Sleep, NREM Sleep Homeostasis, and Gamma Band Oscillations

2017 ◽  
pp. 55-77 ◽  
Author(s):  
James T. McKenna ◽  
Mark R. Zielinski ◽  
Robert W. McCarley
Keyword(s):  
Rem Sleep ◽  
Nrem Sleep ◽  
Gamma Band ◽  
Sleep Homeostasis ◽  
Gamma Band Oscillations

scholarly journals Low-frequency alternating current stimulation rhythmically suppresses gamma-band oscillations and impairs perceptual performance

NeuroImage ◽  
2019 ◽  
Vol 184 ◽  
pp. 440-449 ◽  
Author(s):  
Jim D. Herring ◽  
Sophie Esterer ◽  
Tom R. Marshall ◽  
Ole Jensen ◽  
Til O. Bergmann
Keyword(s):  
Low Frequency ◽  
Alternating Current ◽  
Gamma Band ◽  
Perceptual Performance ◽  
Gamma Band Oscillations

U-shaped Relation between Prestimulus Alpha-band and Poststimulus Gamma-band Power in Temporal Tactile Perception in the Human Somatosensory Cortex

2018 ◽  
Vol 30 (4) ◽  
pp. 552-564 ◽  
Author(s):  
Marc André Wittenberg ◽  
Thomas J. Baumgarten ◽  
Alfons Schnitzler ◽  
Joachim Lange
Keyword(s):  
Gamma Band ◽  
Gamma Activity ◽  
Left Index Finger ◽  
Behavioral Performance ◽  
Alpha Band ◽  
Band Power ◽  
And Performance ◽  
Electrical Stimuli ◽  
Gamma Band Oscillations ◽  
Human Nervous System

Neuronal oscillations are a ubiquitous phenomenon in the human nervous system. Alpha-band oscillations (8–12 Hz) have been shown to correlate negatively with attention and performance, whereas gamma-band oscillations (40–150 Hz) correlate positively. Here, we studied the relation between prestimulus alpha-band power and poststimulus gamma-band power in a suprathreshold tactile discrimination task. Participants received two electrical stimuli to their left index finger with different SOAs (0 msec, 100 msec, intermediate SOA, intermediate SOA ± 10 msec). The intermediate SOA was individually determined so that stimulation was bistable, and participants perceived one stimulus in half of the trials and two stimuli in the other half. We measured neuronal activity with magnetoencephalography (MEG). In trials with intermediate SOAs, behavioral performance correlated inversely with prestimulus alpha-band power but did not correlate with poststimulus gamma-band power. Poststimulus gamma-band power was high in trials with low and high prestimulus alpha-band power and low for intermediate prestimulus alpha-band power (i.e., U-shaped). We suggest that prestimulus alpha activity modulates poststimulus gamma activity and subsequent perception: (1) low prestimulus alpha-band power leads to high poststimulus gamma-band power, biasing perception such that two stimuli were perceived; (2) intermediate prestimulus alpha-band power leads to low gamma-band power (interpreted as inefficient stimulus processing), consequently, perception was not biased in either direction; and (3) high prestimulus alpha-band power leads to high poststimulus gamma-band power, biasing perception such that only one stimulus was perceived.

scholarly journals Deficits in high- (>60 Hz) gamma-band oscillations during visual processing in schizophrenia

2013 ◽  
Vol 7 ◽  
Author(s):  
Christine Grützner ◽  
Michael Wibral ◽  
Limin Sun ◽  
Davide Rivolta ◽  
Wolf Singer ◽  
...  
Keyword(s):  
Visual Processing ◽  
Gamma Band ◽  
Gamma Band Oscillations

scholarly journals Cortically projecting basal forebrain parvalbumin neurons regulate cortical gamma band oscillations

2015 ◽  
Vol 112 (11) ◽  
pp. 3535-3540 ◽  
Author(s):  
Tae Kim ◽  
Stephen Thankachan ◽  
James T. McKenna ◽  
James M. McNally ◽  
Chun Yang ◽  
...  
Keyword(s):  
Basal Forebrain ◽  
Calcium Binding ◽  
Cholinergic Neurons ◽  
Cell Types ◽  
Gamma Band ◽  
The State ◽  
Feature Binding ◽  
Higher Cognitive Functions ◽  
Gamma Band Oscillations ◽  
40 Hz

Cortical gamma band oscillations (GBO, 30–80 Hz, typically ∼40 Hz) are involved in higher cognitive functions such as feature binding, attention, and working memory. GBO abnormalities are a feature of several neuropsychiatric disorders associated with dysfunction of cortical fast-spiking interneurons containing the calcium-binding protein parvalbumin (PV). GBO vary according to the state of arousal, are modulated by attention, and are correlated with conscious awareness. However, the subcortical cell types underlying the state-dependent control of GBO are not well understood. Here we tested the role of one cell type in the wakefulness-promoting basal forebrain (BF) region, cortically projecting GABAergic neurons containing PV, whose virally transduced fibers we found apposed cortical PV interneurons involved in generating GBO. Optogenetic stimulation of BF PV neurons in mice preferentially increased cortical GBO power by entraining a cortical oscillator with a resonant frequency of ∼40 Hz, as revealed by analysis of both rhythmic and nonrhythmic BF PV stimulation. Selective saporin lesions of BF cholinergic neurons did not alter the enhancement of cortical GBO power induced by BF PV stimulation. Importantly, bilateral optogenetic inhibition of BF PV neurons decreased the power of the 40-Hz auditory steady-state response, a read-out of the ability of the cortex to generate GBO used in clinical studies. Our results are surprising and novel in indicating that this presumptively inhibitory BF PV input controls cortical GBO, likely by synchronizing the activity of cortical PV interneurons. BF PV neurons may represent a previously unidentified therapeutic target to treat disorders involving abnormal GBO, such as schizophrenia.

scholarly journals Gamma oscillations in the rat ventral striatum originate in the piriform cortex

2017 ◽  
Author(s):  
James E. Carmichael ◽  
Jimmie M. Gmaz ◽  
Matthijs A. A. van der Meer
Keyword(s):  
Local Field ◽  
Ventral Striatum ◽  
Piriform Cortex ◽  
Current Source ◽  
Field Potential ◽  
Gamma Oscillations ◽  
Gamma Band ◽  
Temporal Organization ◽  
Local Circuitry ◽  
Gamma Band Oscillations

AbstractLocal field potentials (LFP) recorded from the human and rodent ventral striatum (vStr) exhibit prominent, behaviorally relevant gamma-band oscillations. These oscillations are related to local spiking activity and transiently synchronize with anatomically related areas, suggesting a possible role in organizing vStr activity. However, the origin of vStr gamma is unknown. We recorded vStr gamma oscillations across a 1.4mm2 grid spanned by 64 recording electrodes as rats rested and foraged for rewards, revealing a highly consistent power gradient originating in the adjacent piriform cortex. Phase differences across the vStr were consistently small (<10°) and current source density analysis further confirmed the absence of local sink-source pairs in the vStr. Reversible occlusions of the ipsilateral (but not contralateral) nostril, known to abolish gamma oscillations in the piriform cortex, strongly reduced vStr gamma power and the occurrence of transient gamma-band events. These results imply that local circuitry is not a major contributor to gamma oscillations in the vStr LFP, and that piriform cortex is an important driver of gamma-band oscillations in the vStr and associated limbic areas.Significance StatementThe ventral striatum is an area of anatomical convergence in circuits underlying motivated behavior, but it remains unclear how its inputs from different sources interact. One of the major proposals of how neural circuits may dynamically switch between convergent inputs is through temporal organization reflected in local field potential (LFP) oscillations. Our results show that in the rat, the mechanisms controlling vStr gamma oscillations are primarily located in the in the adjacent piriform cortex, rather than vStr itself. This provides a novel interpretation of previous rodent work on gamma oscillations in the vStr and related circuits, and an important consideration for future work seeking to use oscillations in these areas as biomarkers in rodent models of human behavioral and neurological disorders.

Sign in / Sign up

Export Citation Format

Share Document