Search results for "GCC"

showing 5 items of 5 documents

More than a pore: How voltage-gated calcium channels act on different levels of neuronal communication regulation.

2021

ABSTRACT Voltage-gated calcium channels (VGCCs) represent key regulators of the calcium influx through the plasma membrane of excitable cells, like neurons. Activated by the depolarization of the membrane, the opening of VGCCs induces very transient and local changes in the intracellular calcium concentration, known as calcium nanodomains, that in turn trigger calcium-dependent signaling cascades and the release of chemical neurotransmitters. Based on their central importance as concierges of excitation-secretion coupling and therefore neuronal communication, VGCCs have been studied in multiple aspects of neuronal function and malfunction. However, studies on molecular interaction partners …

0301 basic medicineα2δ subunitsBiophysicschemistry.chemical_elementReviewNeurotransmissionCalciumBiochemistrySynaptic TransmissionCalcium in biology03 medical and health sciencesvoltage-induced calcium releasealternative splicing0302 clinical medicinevoltage-gated calcium channelsCavβ subunitsVGCC auxiliary subunitsCalcium SignalingIon channelNeuronssynaptogenesisVoltage-dependent calcium channelChemistryRyanodine receptorDepolarization030104 developmental biologyIon channelsCalciumgene regulationNeuroscience030217 neurology & neurosurgeryIntracellularResearch ArticleChannels (Austin, Tex.)
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Frequency-Sliding Generalized Cross-Correlation: A Sub-Band Time Delay Estimation Approach

2020

The generalized cross correlation (GCC) is regarded as the most popular approach for estimating the time difference of arrival (TDOA) between the signals received at two sensors. Time delay estimates are obtained by maximizing the GCC output, where the direct-path delay is usually observed as a prominent peak. Moreover, GCCs play also an important role in steered response power (SRP) localization algorithms, where the SRP functional can be written as an accumulation of the GCCs computed from multiple sensor pairs. Unfortunately, the accuracy of TDOA estimates is affected by multiple factors, including noise, reverberation and signal bandwidth. In this paper, a sub-band approach for time del…

Reverberationweighted SVDAcoustics and UltrasonicsCross-correlationComputer scienceNoise (signal processing)SRP-PHATMatrix representationTime delay estimationMultilaterationComputational Mathematicssub-band processingAudio and Speech Processing (eess.AS)Temporal resolutionSingular value decompositionComputer Science (miscellaneous)FOS: Electrical engineering electronic engineering information engineeringGCCElectrical and Electronic EngineeringRepresentation (mathematics)SVDAlgorithmElectrical Engineering and Systems Science - Audio and Speech Processing
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Abnormal synchrony and effective connectivity in patients with schizophrenia and auditory hallucinations

2014

Auditory hallucinations (AH) are the most frequent positive symptoms in patients with schizophrenia. Hallucinations have been related to emotional processing disturbances, altered functional connectivity and effective connectivity deficits. Previously, we observed that, compared to healthy controls, the limbic network responses of patients with auditory hallucinations differed when the subjects were listening to emotionally charged words. We aimed to compare the synchrony patterns and effective connectivity of task-related networks between schizophrenia patients with and without AH and healthy controls. Schizophrenia patients with AH (n = 27) and without AH (n = 14) were compared with healt…

MaleCerebellumMVAR multivariate autoregressionHallucinationsAH auditory hallucinationsAuditory hallucinationsBPRS Brief Psychiatric Rating ScaleAudiologylcsh:RC346-429BOLD blood oxygenation level dependentDevelopmental psychologyFunctional connectivityCerebellumNeural PathwaysEffective connectivityICA-TC ICA-time courseFunctional connectivityEmotional stimuliMiddle AgedTemporal LobeICA independent component analysisSynchronymedicine.anatomical_structureNeurologySchizophreniaMRI functional magnetic resonance imaginglcsh:R858-859.7PsychologyAdultmedicine.medical_specialtyCognitive NeuroscienceEmotional processinglcsh:Computer applications to medicine. Medical informaticsArticleYoung AdultmedicineHumansRadiology Nuclear Medicine and imagingIn patientPANSS Positive and Negative Syndrome ScaleCoI component of interestCCTC cortico-cerebellar–thalamic–corticallcsh:Neurology. Diseases of the nervous systemAuditory CortexSPM statistical parametric mapsmedicine.diseaseGCCA Granger causal connectivity analysisAcoustic StimulationFISICA APLICADASchizophreniaAuditory stimuliPSYRATS Psychotic Symptom Rating ScaleNeurology (clinical)NeuroImage: Clinical
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Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks

2020

The interest in deep learning methods for solving traditional signal processing tasks has been steadily growing in the last years. Time delay estimation (TDE) in adverse scenarios is a challenging problem, where classical approaches based on generalized cross-correlations (GCCs) have been widely used for decades. Recently, the frequency-sliding GCC (FS-GCC) was proposed as a novel technique for TDE based on a sub-band analysis of the cross-power spectrum phase, providing a structured two-dimensional representation of the time delay information contained across different frequency bands. Inspired by deep-learning-based image denoising solutions, we propose in this paper the use of convolutio…

FOS: Computer and information sciencesSound (cs.SD)Computer sciencePhase (waves)Distributed microphones02 engineering and technologyConvolutional neural networkComputer Science - Sound030507 speech-language pathology & audiology03 medical and health sciencesAudio and Speech Processing (eess.AS)FOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringGCCRepresentation (mathematics)Signal processingbusiness.industryI.5.4Deep learningConvolutional Neural Networks020206 networking & telecommunicationsTime delay estimationMultilaterationI.2.094A12 68T10LocalizationArtificial intelligence0305 other medical sciencebusinessAlgorithmElectrical Engineering and Systems Science - Audio and Speech ProcessingI.2.0; I.5.4ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Auxiliary α2δ1 and α2δ3 Subunits of Calcium Channels Drive Excitatory and Inhibitory Neuronal Network Development

2020

VGCCs are multisubunit complexes that play a crucial role in neuronal signaling. Auxiliary α2δ subunits of VGCCs modulate trafficking and biophysical properties of the pore-forming α1 subunit and trigger excitatory synaptogenesis. Alterations in the expression level of α2δ subunits were implicated in several syndromes and diseases, including chronic neuropathic pain, autism, and epilepsy. However, the contribution of distinct α2δ subunits to excitatory/inhibitory imbalance and aberrant network connectivity characteristic for these pathologic conditions remains unclear. Here, we show that α2δ1 overexpression enhances spontaneous neuronal network activity in developing and mature cultures of …

0301 basic medicineNeurogenesisSynaptogenesisNeurotransmissionInhibitory postsynaptic potentialHippocampusSynaptic Transmission03 medical and health sciencesGlutamatergicMice0302 clinical medicineVGCCsexcitation to inhibition balanceBiological neural networkPremovement neuronal activityAnimalsHumansCalcium SignalingResearch ArticlesNeuronssynaptogenesisChemistryGeneral NeuroscienceGlutamate receptornetwork connectivityRats030104 developmental biologyHEK293 CellsExcitatory postsynaptic potentialalpha2delta subunitsCalcium ChannelsNerve NetNeuroscience030217 neurology & neurosurgeryCellular/MolecularThe Journal of Neuroscience
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