Double sliding-window technique: A new method to calculate the neuronal response onset latency
Abstract Neuronal response onset latency provides important data on the information processing within the central nervous system. In order to enhance the quality of the onset latency estimation, we have developed a ‘double sliding-window’ technique, which combines the advantages of mathematical meth...
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| Veröffentlicht in: | Brain research 2007-10, Vol.1178, p.141-148 |
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| creator | Berényi, Antal Benedek, György Nagy, Attila |
| description | Abstract Neuronal response onset latency provides important data on the information processing within the central nervous system. In order to enhance the quality of the onset latency estimation, we have developed a ‘double sliding-window’ technique, which combines the advantages of mathematical methods with the reliability of standard statistical processes. This method is based on repetitive series of statistical probes between two virtual time windows. The layout of the significance curve reveals the starting points of changes in neuronal activity in the form of break-points between linear segments. A second-order difference function is applied to determine the position of maximum slope change, which corresponds to the onset of the response. In comparison with Poisson spike-train analysis, the cumulative sum technique and the method of Falzett et al., this ‘double sliding-window, technique seems to be a more accurate automated procedure to calculate the response onset latency of a broad range of neuronal response characteristics. |
| doi_str_mv | 10.1016/j.brainres.2007.08.041 |
| format | Article |
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In order to enhance the quality of the onset latency estimation, we have developed a ‘double sliding-window’ technique, which combines the advantages of mathematical methods with the reliability of standard statistical processes. This method is based on repetitive series of statistical probes between two virtual time windows. The layout of the significance curve reveals the starting points of changes in neuronal activity in the form of break-points between linear segments. A second-order difference function is applied to determine the position of maximum slope change, which corresponds to the onset of the response. In comparison with Poisson spike-train analysis, the cumulative sum technique and the method of Falzett et al., this ‘double sliding-window, technique seems to be a more accurate automated procedure to calculate the response onset latency of a broad range of neuronal response characteristics.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Automation</subject><subject>Behavioral psychophysiology</subject><subject>Biological and medical sciences</subject><subject>Cats</subject><subject>Computer Simulation</subject><subject>Data Interpretation, Statistical</subject><subject>Evoked Potentials, Visual - physiology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Latency</subject><subject>Miscellaneous</subject><subject>Models, Neurological</subject><subject>Models, Statistical</subject><subject>Neurology</subject><subject>Neurons - physiology</subject><subject>Poisson Distribution</subject><subject>PSTH</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. 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Psychophysiology</topic><topic>Second-order difference function</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berényi, Antal</creatorcontrib><creatorcontrib>Benedek, György</creatorcontrib><creatorcontrib>Nagy, Attila</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Brain research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berényi, Antal</au><au>Benedek, György</au><au>Nagy, Attila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Double sliding-window technique: A new method to calculate the neuronal response onset latency</atitle><jtitle>Brain research</jtitle><addtitle>Brain Res</addtitle><date>2007-10-31</date><risdate>2007</risdate><volume>1178</volume><spage>141</spage><epage>148</epage><pages>141-148</pages><issn>0006-8993</issn><eissn>1872-6240</eissn><coden>BRREAP</coden><abstract>Abstract Neuronal response onset latency provides important data on the information processing within the central nervous system. 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| subjects | Algorithms Animals Automation Behavioral psychophysiology Biological and medical sciences Cats Computer Simulation Data Interpretation, Statistical Evoked Potentials, Visual - physiology Fundamental and applied biological sciences. Psychology Latency Miscellaneous Models, Neurological Models, Statistical Neurology Neurons - physiology Poisson Distribution PSTH Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Second-order difference function |
| title | Double sliding-window technique: A new method to calculate the neuronal response onset latency |
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