title: A self-adapting approach for the detection of bursts and network bursts in neuronal cultures.
abstract: Dissociated networks of neurons typically exhibit bursting behavior, whose features are strongly influenced by the age of the culture, by chemical/electrical stimulation or by environmental conditions. To help the experimenter in identifying the changes possibly induced by specific protocols, we developed a self-adapting method for detecting both bursts and network bursts from electrophysiological activity recorded by means of micro-electrode arrays. The algorithm is based on the computation of the logarithmic inter-spike interval histogram and automatically detects the best threshold to distinguish between inter- and intra-burst inter-spike intervals for each recording channel of the array. An analogous procedure is followed for the detection of network bursts, looking for sequences of closely spaced single-channel bursts. We tested our algorithm on recordings of spontaneous as well as chemically stimulated activity, comparing its performance to other methods available in the literature.
authors: Neuroscience and Brain Technologies Department, Italian Institute of Technology, Via Morego 30, 16163, Genova, Italy. valentina.pasquale@iit.it.
authors: Valentina
authors: V
authors: Pasquale
authors: Neuroscience and Brain Technologies Department, Italian Institute of Technology, Via Morego 30, 16163, Genova, Italy.|Neuroengineering and Bio-nanoTechnology Laboratory, Department of Biophysical and Electronic Engineering, University of Genova, Via all'Opera Pia 11A, 16145, Genova, Italy.
authors: Sergio
authors: S
authors: Martinoia
authors: Neuroscience and Brain Technologies Department, Italian Institute of Technology, Via Morego 30, 16163, Genova, Italy.
authors: Michela
authors: M
authors: Chiappalone
mesh_terms: D000200:Action Potentials / Q000187:drug effects / Q000502:physiology*; D000222:Adaptation, Physiological / Q000187:drug effects / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D001640:Bicuculline / Q000494:pharmacology; D002478:Cells, Cultured; D002540:Cerebral Cortex / Q000166:cytology; D003198:Computer Simulation; D004566:Electrodes; D004622:Embryo, Mammalian; D018691:Excitatory Amino Acid Antagonists / Q000494:pharmacology; D058787:GABA-A Receptor Antagonists / Q000494:pharmacology; D009415:Nerve Net / Q000187:drug effects / Q000502:physiology*; D009474:Neurons / Q000187:drug effects / Q000502:physiology*; D011336:Probability; D051381:Rats; D013997:Time Factors; D014633:Valine / Q000031:analogs & derivatives / Q000494:pharmacology
chemical_list: D018691:Excitatory Amino Acid Antagonists; D058787:GABA-A Receptor Antagonists; C056639:2-amino-5-phosphopentanoic acid; D014633:Valine; D001640:Bicuculline