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Luiz A Baccalá

Publications and source records attributed to Luiz A Baccalá.

4 recordsLinked to original sources

Comments on 'Is partial coherence a viable technique for identifying generators of neural oscillations?': Why the term 'Gersch Causality' is inappropriate: common neural structure inference pitfalls.

To aid prospective neural connectivity inference analysts and hoping to preclude misconception spread, we exploit the didatic value of some of the issues raised by Albo et al. (Biol Cybern 90: 318-326, 2004) who claim that signal-to-noise ratio (SNR) values can lead to mistakes in structural inference when using partial coherence in connection to Gersch's 1970 method for spotting signal sources (Gersch in Math Biosci 14: 177- 196, 1972). We show theoretically that Gersch's method is able only to spot which measurement of some common underlying factor has the least amount of additive noise and that this has nothing to do with any reasonable notion of 'causality' as suggested by Albo et al. (Biol Cybern 90: 318-326, 2004). We also show that despite the inherent structural ambiguity of the model used by Albo et al. (Biol Cybern 90: 318-326, 2004) to back their claim, its data can nonetheless furnish the correct time precedence hierarchy between the activities in its measured structures, both when simple (correlation) and more sophisticated methods are used (partial directed coherence) (Baccala and Sameshima in Biol Cybern 84:463-474, 2001a) in a true depiction of time series causality.

Animals↗

Dynamic neuronal responses in cortical and thalamic areas during different phases of formalin test in rats.

Although formalin-induced activity in primary afferent fibers and spinal dorsal horn is well described, the forebrain neural basis underlying each phase of behavior in formalin test has not yet been clarified. The present study was designed to investigate the cortical and thalamic neuronal responses and interactions among forebrain areas during different phases after subcutaneous injection of formalin. Formalin-induced neuronal activities were simultaneously recorded from primary somatosensory cortex (SI), anterior cingulate cortex (ACC) and medial dorsal (MD) and ventral posterior (VP) thalamus during different phases (i.e., first phase, interphase, second phase and third recovery phase starting from 70 min after injection) of formalin test, using a multi-channel, single-unit recording technique. Our results showed that, (i) unlike the responses in primary afferent fibers and spinal dorsal horn, many forebrain neurons displayed monophasic excitatory responses in the first hour after formalin injection, except a small portion of neurons which exhibited biphasic responses; (ii) the response patterns of many cortical and thalamic neurons changed from excitatory to inhibitory at the end of the second phase; (iii) the direction of information flow also changed dramatically, i.e., from cortex to thalamus and from the medial to the lateral pathway in the first hour, but reversed in phase 3. These results indicate that the changes of activity pattern in forebrain networks may underlie the emerging and subsiding of central sensitization-induced pain behavior in the second phase of formalin test.

Action Potentials↗

Coding of peripheral electrical stimulation frequency in thalamocortical pathways.

Frequency information of the environment is an important feature for sensory perception. It has been demonstrated that cortical and thalamic neurons exhibited frequency-specific responses to peripheral stimulation. In the present study, we investigated the effects of 1-100 Hz peripheral electrical stimulations on various thalamic and cortical areas in awake rats. We used chronically implanted microelectrode arrays to record neural activities from the anterior cingulate cortex, primary somatosensory cortex, and medial dorsal and ventral posterior thalamus. The results revealed that cortical and thalamic neurons exhibited frequency-specific responses at both single-neuron and ensemble levels. Clusters of neurons responded to different frequency ranges with changes of both the peak firing rates and the phases of the peak responses in a stimulation cycle. Partial directed coherence analysis showed that information flowing between these recorded areas is also enhanced or inhibited in some frequency-specific pattern during stimulation. These evidences suggest that central nervous system may code environmental frequency information mainly with the activation of selected neural circuits according to their own intrinsic electrical properties. These properties, in turn, may facilitate or inhibit their responses when stimulation with specific frequency information arrives.

Animals↗

Graph theoretical characterization and tracking of the effective neural connectivity during episodes of mesial temporal epileptic seizure.

Via a detailed case study of mesial temporal lobe epilepsy, we show that a method of determining the direction of information flow among signals is able to provide focal localization via the simultaneous analysis of multiple EEG channels. This determination is accomplished by representing information flow direction via directed graphs, where focal electrodes are associated with high observed rates of pertinence to strongly connected subgraphs. Further clinical support to this finding is provided by results for an additional 9 cases of focal epilepsy cases. The graph theoretical approach is a tool for describing and analyzing the effective connectivity dynamics behind epileptic seizures and may provide a common language for studying other complex dynamic relationships between neural structures.

Electroencephalography↗