Dimensionality alterations of the hippocampal electroencephalographic activity following the induction of long-term potentiation in rats

Variability of the mesolimbic neuronal activity in a rat model of depression

The Flinders Sensitive Line of rats is a widely accepted and validated model of depression. These rats demonstrate abnormalities in limbic dopamine neurotransmission, suggesting disturbed neuronal activity in the ventral tegmental area. Interspike interval time series were recorded from the ventral tegmental area of the control Sprague-Dawley and Flinders Sensitive Line rats. These data were analyzed for the variance of interspike interval for each group of animals. We found that FSL rats show a significant decrease in the variance of 0.25-0.5-s-long interspike intervals. Moreover, these abnormalities were normalized following 14-day treatment with desipramine. We suggest that the interspike intervals at this range may have an important role in the information encoding of mesolimbic dopaminergic activity. Impaired variance of the length of interspike intervals in this area may correspond to the pathophysiology of depression, and hence be a possible marker for the analysis of the efficiency of antidepressant treatment.

Dimensional complexity of the neuronal activity in a rat model of depression

The Flinders sensitive line of rats is a widely accepted and validated model of depression. These rats demonstrate abnormalities in limbic dopamine neurotransmission, suggesting disturbed neuronal activity in the ventral tegmental area. Interspike interval time-series were recorded from the ventral tegmental area of control Sprague-Dawley and Flinder sensitive line rats. These data were analyzed using standard measures (mean firing rate, bursting activity and spectral analysis) as well as the pointwise correlation dimension, a nonlinear measurement characterizing the complexity degree of dynamic systems. Pointwise correlation dimension, but not standard analysis revealed a significant difference between the animal lines. Our results suggest that nonlinear analyses can detect dysregulation of the mesolimbic dopaminergic system and shed light on the pathophysiology of depression.

Complexity of tissue injury-induced nociceptive discharge of dorsal horn wide dynamic range neurons in the rat, correlation with the effect of systemic morphine

Persistent discharge of wide dynamic range (WDR) neurons was recorded from lumbar dorsal horn of anesthetized rats following subcutaneous bee venom injection into the receptive field. To quantitatively describe the complexity of this nociceptive activity, we computed the approximate entropy (ApEn) for each sampled interspike interval (ISI) series. A larger value of ApEn indicates higher complexity or less regularity and vice versa. The ApEn value varied across different WDR neurons tested, and for each neuron the ApEn remained constant through the 1-h discharge though the average ISI of the sampled data increased progressively with time (16 neurons). A low dose of intravenous morphine (0.3 mg/kg) depressed the activity of WDR neurons differentially, and the degree of this inhibition showed a significant correlation with the value of ApEn (P<0.001, 27 neurons, Spearman's correlation test). The present results suggest that the complexity feature of WDR neurons is various under tissue injury state, and for each single WDR neuron the complexity feature is relatively independent of the strength of peripheral noxious input and cannot be fully described in terms of average firing rate. Moreover, the response of the nociceptive discharge to analgesics may be related to the nonlinear dynamics feature of nociceptive neurons, which can be quantitatively characterized by the degree of complexity.

Effect of long-term potentiation induction on gamma-band electroencephalograms in prefrontal cortex following stimulation of rat hippocampus in vivo

We examined whether long-term potentiation (LTP) affects cortical gamma-band electroencephalograms (EEG) in the hippocampo-prefrontal cortex (PFC) pathway of anesthetized rats. The LTP induction increased the evoked PFC gamma-band EEG power (40-100 Hz) to 120-135% at 500-700 ms after test stimulation. A simple increment of stimulus intensity, instead of LTP induction, did not reveal this evoked increase. Neither LTP induction nor the intensity increment changed significantly the magnitude of an evoked decrease at around 100 ms or the spontaneous prestimulation gamma-band power. These results indicate that LTP in PFC specifically increases the evoked gamma-band EEG power, which may reflect a phasic mode of plastic neurotransmission through the hippocampo-PFC pathway in vivo.

Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention

Several recent studies emphasize the high value of nonlinear EEG analysis particularly for improved characterization of epileptic brain states. In this review the authors report their work to increase insight into the spatial and temporal dynamics of the epileptogenic process. Specifically, they discuss possibilities for seizure anticipation, which is one of the most challenging aspects of epileptology. Although there are numerous studies exploring basic neuronal mechanisms that are likely to be associated with seizures, to date no definite information is available regarding how, when, or why a seizure occurs. Nonlinear EEG analysis now provides strong evidence that the interictal-ictal state transition is not an abrupt phenomenon. Rather, findings indicate that it is indeed possible to detect a preseizure phase. The unequivocal definition of such a state with a sufficient length would enable investigations of basic mechanisms leading to seizure initiation in humans, and development of adequate seizure prevention strategies.

Reduced signal complexity of intracellular recordings: a precursor for epileptiform activity?

Recent studies have shown that time windowed extraction of nonlinear parameters like an effective correlation dimension from intracranially recorded EEG of epileptic patients often allows to detect and identify an unequivocal "pre-ictal phase" preceding an epileptic seizure. In another study, however, such an anticipation could not be made. These conflicting findings may indicate that observed changes in nonlinear parameters probably depend on the type of elementary mechanisms underlying epileptic processes and/or the spatial distribution of neurons primarily involved in generation of epileptiform discharges. To test the existence of such dependencies, the transition from normal to epileptiform activity (EA) of CA3-neurons in hippocampal slices was analyzed in four epilepsy models, using a time windowed computation of an effective correlation dimension. Indeed, in xanthine and penicillin models, signal complexity in intracellular recordings was reduced before manifestation of paroxysmal depolarization shifts (PDS), whereas a preceding loss of complexity was missing in low-magnesium and veratridine models. These findings indicate that interictal-like EA is predictable only in some epilepsy models.