A study in Acta Neuropathologica Communications finds that chronic intermittent alcohol exposure affects the microstructural integrity of fimbria/fornix, causing hippocampal-prefrontal cortex dysfunction and cognitive impairment during early abstinence.
]. Two multisite silicon probes connected to multiple high impedance head-stages were lowered into intermediate hippocampus and medial prefrontal cortex using coordinates with respect to bregma: AP -4.4; ML 2.6; DV 3.5 mm and AP 3.4; ML 0.5; DV 4.5 mm, respectively. Before brain insertion, probes were immersed in a saturated solution of DiI in ethanol, for posterior postmortem confirmation of probes placement.
First, spontaneous activity was simultaneously acquired in the prefrontal cortex and hippocampus for correlation and coherence analysis. Then, evoked potentials were recorded in response to different electric stimulation protocols applied using a pulse generator and current source . A stimulus-response curve protocol consisted in single biphasic 100 µs duration pulses at different intensities delivered every 15 s, with each intensity presented four times.
Neuronal firing in response to the stimulation protocols was quantified as the amplitude of the population spikes recorded in the DG and CA1 soma layers, respectively. Similarly, the synaptic activity evoked by stimuli was measured as the slope of the evoked postsynaptic potential recorded in the DG molecular layer and the CA1.
All statistical analyses were conducted in SPSS or GraphPad Prism version 7.00 for Windows, . Data are expressed as mean ± SEM. All animals but 4, which died during the electrophysiological surgery, were included in the analysis. For DTI analyses, the dependent variables were the parameters described previously: FA, MD and MF. Applying the ROUT module set at 1, we found four outliers for MD and one for MF.
In the histological analyses, three outliers were found applying the ROUT module set at 1. Then, an unpaired two-tailed t-test was applied. All distributions were checked to be normal using D’Agostino-Pearson omnibus normality test, and aNetwork construction and learning rules
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