کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6279724 1615080 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hierarchical spike clustering analysis for investigation of interneuron heterogeneity
ترجمه فارسی عنوان
تجزیه و تحلیل خوشه ای سنسورهای سلسله مراتبی برای بررسی ناهمگونی اینترنورون
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی
Action potentials represent the output of a neuron. Especially interneurons display a variety of discharge patterns ranging from regular action potential firing to prominent spike clustering or stuttering. The mechanisms underlying this heterogeneity remain incompletely understood. We established hierarchical cluster analysis of spike trains as a measure of spike clustering. A clustering index was calculated from action potential trains recorded in the whole-cell patch clamp configuration from hippocampal (CA1, stratum radiatum) and entorhinal (medial entorhinal cortex, layer 2) interneurons in acute slices and simulated data. Prominent, region-dependent, but also variable spike clustering was detected using this measure. Further analysis revealed a strong positive correlation between spike clustering and membrane potentials oscillations but an inverse correlation with neuronal resonance. Furthermore, clustering was more pronounced when the balance between fast-activating K+ currents, assessed by the spike repolarisation time, and hyperpolarization-activated currents, gauged by the size of the sag potential, was shifted in favour of fast K+ currents. Simulations of spike clustering confirmed that variable ratios of fast K+ and hyperpolarization-activated currents could underlie different degrees of spike clustering and could thus be crucial for temporally structuring interneuron spike output.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience Letters - Volume 619, 21 April 2016, Pages 86-91
نویسندگان
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