Multivariate partial coherence analysis for identification of neuronal connectivity from multiple electrode array recordings

2014 ◽  
Author(s):  
Siti N. Makhtar ◽  
David M. Halliday ◽  
Mohd H. Senik ◽  
Rob Mason
Keyword(s):  
Electrode Array ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Neuronal Connectivity ◽  
Array Recordings ◽  
Multiple Electrode

Preferential correlations of a medullary neuron's activity to different sympathetic outflows as revealed by partial coherence analysis

1995 ◽  
Vol 74 (1) ◽  
pp. 474-478 ◽  
Author(s):  
M. I. Cohen ◽  
Q. Yu ◽  
W. X. Huang
Keyword(s):  
Sympathetic Nerves ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Significant Peak ◽  
Neuron Populations ◽  
Cervical Sympathetic ◽  
Decerebrate Cats ◽  
Differential Connectivity ◽  
Coherence Spectrum ◽  
Medullary Neurons

1. In vagotomized, paralyzed, decerebrate cats, simultaneous recordings were taken from one or more sympathetic nerves [cervical sympathetic (CS), inferior cardiac (IC), splanchnic (SP)] and from medullary neurons in vasomotor-related regions. Coherence analyses were used to ascertain the presence of sympathetic rhythms (2-6 Hz or "3-Hz rhythm," 7-13 Hz or "10-Hz rhythm") that were correlated between different signals. The occurrence of a significant peak at such a frequency in a unit-nerve coherence spectrum allowed the identification of a medullary neuron as sympathetic related. 2. A serendipitous example is given of a rostral ventrolateral medullary neuron that had significant unit-nerve 10-Hz coherence peaks for three sympathetic nerves (CS, IC, SP); but, as revealed by partial coherence analysis, the unit activity's correlation with one nerve's activity could be partially or completely dependent on its correlation with other nerve activities. Thus in this case the unit-CS and unit-IC coherences at 10 Hz were completely dependent on the SP rhythm, whereas the unit-SP coherence was not significantly affected by the CS and IC rhythms. This asymmetry suggests that the neuron was preferentially connected to SP-generating medullary circuits. 3. This example indicates the strength of partial coherence analysis as a means of studying differential connectivity between medullary sympathetic-related neurons and sympathetic output neuron populations.

scholarly journals A dataset of action potentials recorded from the L5 dorsal rootlet of rat using a multiple electrode array

Data in Brief ◽  
2020 ◽  
Vol 33 ◽  
pp. 106561
Author(s):  
Benjamin Metcalfe ◽  
Alan Hunter ◽  
Jonathan Graham-Harper-Cater ◽  
John Taylor
Keyword(s):  
Action Potentials ◽  
Electrode Array ◽  
Multiple Electrode

Identification of Noise Source Based on Partial Coherence Analysis

2012 ◽  
Vol 239-240 ◽  
pp. 482-486
Author(s):  
Hai Ping Wu ◽  
Jing Jun Lou ◽  
Wen Wu Liu
Keyword(s):  
Analytic Hierarchy Process ◽  
Source Identification ◽  
Noise Source ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Noise Sources ◽  
Analytic Hierarchy ◽  
Noise Source Identification ◽  
Source Excitation ◽  
Hierarchy Process

Noise source identification is the precondition and foundation of the noise reduction. There are some limitations while using some common method to analyze noise sources, so on the basis of partial coherence analysis and analytic hierarchy process, a method was proposed which can sort noise source contribution. When noise in the multi-source excitation system is coherent，this method can identify and sort noise source.

High Density Multiple-electrode Array Mapping is Feasible in Tissue and small Animal Atria

2010 ◽  
Vol 19 ◽  
pp. S87-S88
Author(s):  
D. Lau ◽  
L. Mackenzie ◽  
N. Shipp ◽  
P. Kuklik ◽  
H. Dimitri ◽  
...  
Keyword(s):  
Electrode Array ◽  
Small Animal ◽  
High Density ◽  
Multiple Electrode

scholarly journals Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

10.3791/2949 ◽  
2011 ◽  
Author(s):  
Dietmar Plenz ◽  
Craig V. Stewart ◽  
Woodrow Shew ◽  
Hongdian Yang ◽  
Andreas Klaus ◽  
...  
Keyword(s):  
Electrode Array ◽  
Organotypic Cultures ◽  
Neuronal Avalanches ◽  
Array Recordings ◽  
Multi Electrode Array

scholarly journals Visual speech is processed differently in auditory and visual cortex: evidence from MEG and partial coherence analysis

2021 ◽  
Author(s):  
Mate Aller ◽  
Heidi Solberg Okland ◽  
Lucy J MacGregor ◽  
Helen Blank ◽  
Matthew H. Davis
Keyword(s):  
Visual Cortex ◽  
Speech Perception ◽  
Phase Locking ◽  
Visual Speech ◽  
Visual Signals ◽  
Partial Coherence ◽  
Speech Signals ◽  
Coherence Analysis ◽  
Modal Interactions ◽  
Auditory Signals

Speech perception in noisy environments is enhanced by seeing facial movements of communication partners. However, the neural mechanisms by which audio and visual speech are combined are not fully understood. We explore MEG phase locking to auditory and visual signals in MEG recordings from 14 human participants (6 female) that reported words from single spoken sentences. We manipulated the acoustic clarity and visual speech signals such that critical speech information is present in auditory, visual or both modalities. MEG coherence analysis revealed that both auditory and visual speech envelopes (auditory amplitude modulations and lip aperture changes) were phase-locked to 2-6Hz brain responses in auditory and visual cortex, consistent with entrainment to syllable-rate components. Partial coherence analysis was used to separate neural responses to correlated audio-visual signals and showed non-zero phase locking to auditory envelope in occipital cortex during audio-visual (AV) speech. Furthermore, phase-locking to auditory signals in visual cortex was enhanced for AV speech compared to audio-only (AO) speech that was matched for intelligibility. Conversely, auditory regions of the superior temporal gyrus (STG) did not show above-chance partial coherence with visual speech signals during AV conditions, but did show partial coherence in VO conditions. Hence, visual speech enabled stronger phase locking to auditory signals in visual areas, whereas phase-locking of visual speech in auditory regions only occurred during silent lip-reading. Differences in these cross-modal interactions between auditory and visual speech signals are interpreted in line with cross-modal predictive mechanisms during speech perception.

Coordination of the cardiac-related discharges of sympathetic nerves with different targets

1994 ◽  
Vol 267 (2) ◽  
pp. R400-R407 ◽  
Author(s):  
G. L. Gebber ◽  
S. Zhong ◽  
S. M. Barman ◽  
H. S. Orer
Keyword(s):  
Heart Rate ◽  
Coherence Function ◽  
Sympathetic Nerves ◽  
Partial Coherence ◽  
Coherence Analysis ◽  
Arterial Pulse ◽  
Nerve Activity ◽  
Multiple Routes ◽  
Rate Frequency ◽  
Decerebrate Cats

Partial coherence analysis was used to remove the influences of pulse-synchronous baroreceptor nerve activity (as reflected by the arterial pulse) on the coherence of the cardiac-related discharges of sympathetic nerve pairs in unanesthetized decerebrate cats. It can be predicted that the peak at the heart rate frequency in the ordinary coherence function relating the discharges of two nerves will be eliminated by either partialization using the arterial pulse or surgical baroreceptor denervation, if the central circuits controlling the nerves share baroreceptor inputs but are not interconnected. Contrary to this prediction, in many experiments the peak was not eliminated by partialization using the arterial pulse. Moreover, partialization often nonuniformly reduced the peaks at the heart rate frequency in the coherence functions for different nerve pairs. These results are consistent with a model of multiple routes over which baroreceptor influences are distributed to the central circuits controlling different sympathetic nerves. Specifically, we propose that the direct route from the baroreceptors to each of the central circuits is complemented by cross talk among the central circuits.

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