Dorsal vs. ventral differences in fast Up-state-associated oscillations in the medial prefrontal cortex of the urethane-anesthetized rat

Gretenkord, Sabine; Rees, Adrian; Whittington, Miles A.; Gartside, Sarah E.; LeBeau, Fiona E. N.

doi:10.1152/jn.00762.2016

Cited by 11 publications

(15 citation statements)

References 69 publications

(109 reference statements)

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“…Limitations. The rodent prefrontal cortex comprises multiple subregions (Gretenkord et al 2017) which have been defined based on cytoarchitecture, connectivity, and/or functionality (Carlén 2017). The present results were obtained mainly from the frontal association cortex (Fig.…”

Section: State Prediction Irfmentioning

confidence: 99%

Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia

Zhang

Baer

Price

et al. 2020

Journal of Neurophysiology

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This study quantified eight, small molecule neurotransmitters collected simultaneously from prefrontal cortex of C57BL/6J mouse (n=23) during wakefulness and during isoflurane anesthesia (1.3%). Using isoflurane anesthesia as an independent variable enabled evaluation of the hypothesis that isoflurane anesthesia differentially alters concentrations of multiple neurotransmitters and their interactions. Machine learning was applied to reveal higher order interactions among neurotransmitters. Using a between-subjects design, microdialysis was performed during wakefulness and during anesthesia. Concentrations (nM) of acetylcholine, adenosine, dopamine, GABA, glutamate, histamine, norepinephrine, and serotonin in the dialysis samples are reported (mean ± SD). Relative to wakefulness, acetylcholine concentration was lower during isoflurane anesthesia (1.254 ± 1.118 versus 0.401 ± 0.134, P=0.009), and concentrations of adenosine (29.456 ± 29.756 versus 101.321 ± 38.603, P<0.001), dopamine (0.0578 ± 0.0384 versus 0.113 ± 0.084, P=0.036), and norepinephrine (0.126 ± 0.080 versus 0.219 ± 0.066, P=0.010) were higher during anesthesia. Isoflurane reconfigured neurotransmitter interactions in prefrontal cortex, and the state of isoflurane anesthesia was reliably predicted by prefrontal cortex concentrations of adenosine, norepinephrine, and acetylcholine. A novel finding to emerge from machine learning analyses is that neurotransmitter concentration profiles in mouse prefrontal cortex undergo functional reconfiguration during isoflurane anesthesia. Adenosine, norepinephrine, and acetylcholine showed high feature importance, supporting the interpretation that interactions among these three transmitters may play a key role in modulating levels of cortical and behavioral arousal.

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Section: State Prediction Irfmentioning

confidence: 99%

Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia

Zhang

Baer

Price

et al. 2020

Journal of Neurophysiology

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“…Mixed repeated measures ANOVA (RM ANOVA) analyses was conducted where mPFC subregion (four levels) was set as the within-subjects variable and the animal genotype as the between-subjects variable. A detailed comparison of the differences between mPFC subregions was out of the scope of the current study, however we proceeded with mPFC subregions as a repeated measure to identify any mixed effects/interactions with the genotype (Gretenkord et al, 2017). The outcome of the RM ANOVA analysis for the mPFC subregion is reported and, if the assumption of sphericity was violated, a Huynh-Feldt correction was applied.…”

Section: Discussionmentioning

confidence: 99%

“…Before calculating high frequency oscillatory power, the LFP data for each electrode channel was normalized to z-scores ( Figure 1C). The normalized signal was then transformed using a continuous wavelet transform, specifically a complex Morlet wavelet for the theta (4-7.9 Hz), beta (15-29.9 Hz), gamma (30-79.9 Hz), and high-gamma (80-130 Hz) frequency bands (Massi et al, 2012;Gretenkord et al, 2017). The instantaneous area power was then calculated using trapezoidal numerical integration over all frequencies in a given band.…”

Section: Calculation Of Power At Higher Frequenciesmentioning

confidence: 99%

“…The instantaneous area power was then calculated using trapezoidal numerical integration over all frequencies in a given band. The mean power per bin of the UDS phase vector was calculated for each UDS cycle ( Figure 1D), leading to the alignment of the power to a normalized cycle (Valencia et al, 2013;Gretenkord et al, 2017). This compensated for the variable lengths of UDS cycles within a particular data segment, and allowed a mean power over the normalized UDS cycle to be calculated for each electrode channel, in each animal.…”

Section: Calculation Of Power At Higher Frequenciesmentioning

confidence: 99%

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Early Disruption of Cortical Sleep-Related Oscillations in a Mouse Model of Dementia With Lewy Bodies (DLB) Expressing Human Mutant (A30P) Alpha-Synuclein

et al. 2020

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Changes in sleep behavior and sleep-related cortical activity have been reported in conditions associated with abnormal alpha-synuclein (α-syn) expression, in particular Parkinson's disease (PD) and dementia with Lewy bodies (DLB). Notably, changes can occur in patients years before the onset of cognitive decline. Sleep-related network oscillations play a key role in memory function, but how abnormal α-syn impacts the generation of such activity is currently unclear. To determine whether early changes in sleep-related network activity could also be observed, prior to any previously reported cognitive dysfunction, we used mice that over-express human mutant α-syn (A30P). Recordings in vivo were performed under urethane anesthesia in the medial prefrontal cortex (mPFC) and CA1 region of the hippocampus in young male (2.5-4 months old) A30P and age-matched wild type (WT) mice. We found that the slow oscillation (SO) < 1 Hz frequency was significantly faster in both the mPFC and hippocampus in A30P mice, and Up-state-associated fast oscillations at beta (20-30 Hz) and gamma (30-80 Hz) frequencies were delayed relative to the onset of the Up-state. Spindle (8-15 Hz) activity in the mPFC was also altered in A30P mice, as spindles were shorter in duration and had reduced density compared to WT. These changes demonstrate that dysregulation of sleep-related oscillations occurs in young A30P mice long before the onset of cognitive dysfunction. Our data suggest that, as seen in patients, changes in sleep-related oscillations are an early consequence of abnormal α-syn aggregation in A30P mice.

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“…Their amplitude, frequency, and spatial distribution across the cortex or scalp can vary. These variations are suggested to reflect divergent inputs and properties of network synchronization (Andrillon et al, 2011;Gretenkord et al, 2017;Kim et al, 2015;Klinzing et al, 2016). Most importantly, these properties are not static, but they change across the sleep period and with depth of NREM sleep, indicating dynamic changes in differential thalamocortical processing (Ayoub et al, 2013;Mölle et al, 2011;Nir et al, 2011).…”

Section: Thalamocortical Spindles and Hippocampal Spwrsmentioning

confidence: 99%

Manipulating neural activity and sleep-dependent memory consolidation

Ghorbani

Marshall

2020

Neuroforum

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Sleep contributes actively to the consolidation of many forms of memory. This review describes the neural oscillations of non-rapid eye movement (NREM) sleep, the structures underlying these oscillations and their relation to hippocampus-dependent memory consolidation. A main focus lies on the relation between inter- and intraregional interactions and their electrophysiological representation. Methods for modulating neural oscillations with the intent of affecting memory consolidation are presented.

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Dorsal vs. ventral differences in fast Up-state-associated oscillations in the medial prefrontal cortex of the urethane-anesthetized rat

Cited by 11 publications

References 69 publications

Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia

Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia

Early Disruption of Cortical Sleep-Related Oscillations in a Mouse Model of Dementia With Lewy Bodies (DLB) Expressing Human Mutant (A30P) Alpha-Synuclein

Manipulating neural activity and sleep-dependent memory consolidation

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