scholarly journals Neuronal Correlates of Fear in the Lateral Amygdala: Multiple Extracellular Recordings in Conscious Cats

2000 ◽  
Vol 20 (7) ◽  
pp. 2701-2710 ◽  
Author(s):  
Denis Paré ◽  
Dawn R. Collins
2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Anwesha Banerjee ◽  
Jonathan A. Luong ◽  
Anthony Ho ◽  
Aeshah O. Saib ◽  
Jonathan E. Ploski

2000 ◽  
Vol 84 (1) ◽  
pp. 390-400 ◽  
Author(s):  
Darrell A. Henze ◽  
Zsolt Borhegyi ◽  
Jozsef Csicsvari ◽  
Akira Mamiya ◽  
Kenneth D. Harris ◽  
...  

2010 ◽  
Vol 107 (28) ◽  
pp. 12692-12697 ◽  
Author(s):  
Joshua P. Johansen ◽  
Hiroki Hamanaka ◽  
Marie H. Monfils ◽  
Rudy Behnia ◽  
Karl Deisseroth ◽  
...  

2001 ◽  
Vol 85 (2) ◽  
pp. 714-723 ◽  
Author(s):  
E.S.L. Faber ◽  
R. J. Callister ◽  
P. Sah

In this study, we characterize the electrophysiological and morphological properties of spiny principal neurons in the rat lateral amygdala using whole cell recordings in acute brain slices. These neurons exhibited a range of firing properties in response to prolonged current injection. Responses varied from cells that showed full spike frequency adaptation, spiking three to five times, to those that showed no adaptation. The differences in firing patterns were largely explained by the amplitude of the afterhyperpolarization (AHP) that followed spike trains. Cells that showed full spike frequency adaptation had large amplitude slow AHPs, whereas cells that discharged tonically had slow AHPs of much smaller amplitude. During spike trains, all cells showed a similar broadening of their action potentials. Biocytin-filled neurons showed a range of pyramidal-like morphologies, differed in dendritic complexity, had spiny dendrites, and differed in the degree to which they clearly exhibited apical versus basal dendrites. Quantitative analysis revealed no association between cell morphology and firing properties. We conclude that the discharge properties of neurons in the lateral nucleus, in response to somatic current injections, are determined by the differential distribution of ionic conductances rather than through mechanisms that rely on cell morphology.


2006 ◽  
Vol 96 (6) ◽  
pp. 3257-3265 ◽  
Author(s):  
Ekaterina Likhtik ◽  
Joe Guillaume Pelletier ◽  
Andrei T. Popescu ◽  
Denis Paré

This study tested whether firing rate and spike shape could be used to distinguish projection cells from interneurons in extracellular recordings of basolateral amygdala (BLA) neurons. To this end, we recorded BLA neurons in isoflurane-anesthetized animals with tungsten microelectrodes. Projection cells were identified by antidromic activation from cortical projection sites of the BLA. Although most projection cells fired spontaneously at low rates (<1 Hz), an important subset fired at higher rates (up to 6.8 Hz). In fact, the distribution of firing rates in projection cells and unidentified BLA neurons overlapped extensively, even though the latter cell group presumably contains a higher proportion of interneurons. The only difference between the two distributions was a small subset (5.1%) of unidentified neurons with unusually high firing rates (9–16 Hz). Similarly, distributions of spike durations in both cell groups were indistinguishable, although most of the fast-firing neurons had spike durations at the low end of the distribution. However, we observed that spike durations depended on the exact position of the electrode with respect to the recorded cell, varying by as much as 0.7 ms. Thus neither firing rate nor spike waveform allowed for unequivocal separation of projection cells from interneurons. Nevertheless, we propose the use of two firing rate cutoffs to obtain relatively pure samples of projection cells and interneurons: ≤1 Hz for projection cells and ≥7 Hz for fast-spiking interneurons. Supplemented with spike-duration cutoffs of ≥0.7 ms for projection cells and ≤0.5 ms for interneurons, this approach should keep instances of misclassifications to a minimum.


2009 ◽  
Vol 65 ◽  
pp. S137
Author(s):  
Chieko Tazuke ◽  
Hideki Miwa ◽  
Minoru Matsui ◽  
Ayako M. Watabe ◽  
Toshiya Manabe

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