{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T15:57:34Z","timestamp":1770825454951,"version":"3.50.1"},"reference-count":9,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2017,10,1]],"date-time":"2017-10-01T00:00:00Z","timestamp":1506816000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In the rodent\u2019s brain the theta (5-12 Hz) and gamma (30-120 Hz) oscillations can be readily detected in local field potential (LFP) recordings, but there is no universal consensus about an objective threshold for their detection.<\/jats:p>\n               <jats:p>We FIR-filtered the long-term local field potential (LFP) recordings for theta and gamma oscillations. The RMS (root mean square) values of 8 s epochs in 0.5-4 s steps (using corresponding overlaps) were obtained from the filtered recordings. For both theta and gamma oscillations, the histograms showed a bimodal distribution well fitted by two Gaussians. The point of intersection between the two distributions proved to be the most reliable for separating the RMS values belonging to the two Gaussians.<\/jats:p>","DOI":"10.1515\/macro-2017-0004","type":"journal-article","created":{"date-parts":[[2017,12,22]],"date-time":"2017-12-22T22:17:13Z","timestamp":1513981033000},"page":"31-37","source":"Crossref","is-referenced-by-count":3,"title":["Bimodal RMS distributions for the objective detection of theta (\u03b8) and gamma (\u03b3) brain oscillations during long-term continuous LFP recordings in mice"],"prefix":"10.1515","volume":"2","author":[{"given":"L\u00e1szl\u00f3","family":"Moln\u00e1r","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Technical and Human Sciences , Sapientia University , Tg. Mure\u015f"}]},{"given":"J\u00f3zsef","family":"Domokos","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Technical and Human Sciences , Sapientia University , Tg. Mure\u015f"}]},{"given":"Isabella","family":"Ferando","sequence":"additional","affiliation":[{"name":"Dept. of Neurology , David Geffen School of Medicine at UCLA , Los Angeles , CA"}]},{"given":"Istv\u00e1n","family":"M\u00f3dy","sequence":"additional","affiliation":[{"name":"Dept. of Neurology , David Geffen School of Medicine at UCLA , Los Angeles , CA"}]}],"member":"374","published-online":{"date-parts":[[2017,12,21]]},"reference":[{"key":"2021040807440794637_j_macro-2017-0004_ref_001_w2aab3b7b4b1b6b1ab1ab1Aa","doi-asserted-by":"crossref","unstructured":"[1] Buzs\u00e1ki, G., Draguhn, A., \u201cNeuronal oscillations in cortical networks\u201d, Science 304, 2004, pp. 1926-1929.","DOI":"10.1126\/science.1099745"},{"key":"2021040807440794637_j_macro-2017-0004_ref_002_w2aab3b7b4b1b6b1ab1ab2Aa","doi-asserted-by":"crossref","unstructured":"[2] Buzs\u00e1ki, G., \u201cRhythms of the Brain\u201d, Oxford University Press, 2006.","DOI":"10.1093\/acprof:oso\/9780195301069.001.0001"},{"key":"2021040807440794637_j_macro-2017-0004_ref_003_w2aab3b7b4b1b6b1ab1ab3Aa","doi-asserted-by":"crossref","unstructured":"[3] Buzs\u00e1ki, G., Anastassiou, C.A., Koch, C., \u201cThe origin of extracellular fields and currents--EEG, ECoG, LFP and spikes\u201d, Nat Rev Neurosci. 13, 2012, pp. 407-420.10.1038\/nrn3241","DOI":"10.1038\/nrn3241"},{"key":"2021040807440794637_j_macro-2017-0004_ref_004_w2aab3b7b4b1b6b1ab1ab4Aa","doi-asserted-by":"crossref","unstructured":"[4] Csicsv\u00e1ri, J., Hirase, H., Czurk\u00f3, A., Buzs\u00e1ki, G., \u201cReliability and state dependence of pyramidal cell-interneuron synapses in the hippocampus: an ensemble approach in the behaving rat\u201d, Neuron 21, 1998, pp. 179-189.10.1016\/S0896-6273(00)80525-5","DOI":"10.1016\/S0896-6273(00)80525-5"},{"key":"2021040807440794637_j_macro-2017-0004_ref_005_w2aab3b7b4b1b6b1ab1ab5Aa","doi-asserted-by":"crossref","unstructured":"[5] Asham, K.M., Bird, C.M., Zepf, S.E., \u201cDetecting bimodality in astronomical datasets\u201d, Astronom J, 108, 1994, pp. 2348-2361.","DOI":"10.1086\/117248"},{"key":"2021040807440794637_j_macro-2017-0004_ref_006_w2aab3b7b4b1b6b1ab1ab6Aa","doi-asserted-by":"crossref","unstructured":"[6] Bart, A.M., Ferando, I., Mody, I., \u201cOvarian cycle-linked plasticity of \u03b4-GABAA receptor subunits in hippocampal interneurons affects \u03b3 oscillations in vivo\u201d, Front Cell Neurosci, 8, 2014, pp. 222.","DOI":"10.3389\/fncel.2014.00222"},{"key":"2021040807440794637_j_macro-2017-0004_ref_007_w2aab3b7b4b1b6b1ab1ab7Aa","doi-asserted-by":"crossref","unstructured":"[7] Lee, V., Maguire, J., \u201cImpact of inhibitory constraint of interneurons on neuronal excitability:, J Neurophysiol, 110, 2013, pp. 2520\u20132535.","DOI":"10.1152\/jn.00047.2013"},{"key":"2021040807440794637_j_macro-2017-0004_ref_008_w2aab3b7b4b1b6b1ab1ab8Aa","doi-asserted-by":"crossref","unstructured":"[8] Ferando, I., Mody, I., \u201cAltered gamma oscillations during pregnancy through loss of \u03b4 subunit-containing GABAA receptors on parvalbumin interneurons\u201d, Front Neural Circuits 7, 2013, 144.","DOI":"10.3389\/fncir.2013.00144"},{"key":"2021040807440794637_j_macro-2017-0004_ref_009_w2aab3b7b4b1b6b1ab1ab9Aa","unstructured":"[9] Moln\u00e1r, L., Domokos, J., Ferando, I., M\u00f3dy, I., \u201cObjective detection criteria and analyses of theta (\u03b8) and gamma (\u03b3) oscillations and their phase-amplitude coupling (PAC) during long-term continuous intrahippocampal LFP recordings in mice\u201d, Society for Neuroscience: Neuroscience Meeting, San Diego, CA. 2016."}],"container-title":["MACRo 2015"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/content.sciendo.com\/view\/journals\/macro\/2\/1\/article-p31.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/macro-2017-0004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T04:18:21Z","timestamp":1617941901000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/macro-2017-0004"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,1]]},"references-count":9,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,12,21]]},"published-print":{"date-parts":[[2017,10,1]]}},"alternative-id":["10.1515\/macro-2017-0004"],"URL":"https:\/\/doi.org\/10.1515\/macro-2017-0004","relation":{},"ISSN":["2247-0948"],"issn-type":[{"value":"2247-0948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,1]]}}}