{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:07:32Z","timestamp":1760854052644,"version":"3.37.3"},"reference-count":34,"publisher":"American Physiological Society","issue":"5","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"publisher","award":["NSFC 31171092"],"award-info":[{"award-number":["NSFC 31171092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shantou City Scientific Research Program","award":["2015-112"],"award-info":[{"award-number":["2015-112"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Neurophysiology"],"published-print":{"date-parts":[[2019,5,1]]},"abstract":"<jats:p>Two macroscopic parameters describe the interstitial diffusion of substances in the extracellular space (ECS) of the brain, the ECS volume fraction \u03b1 and the diffusion tortuosity \u03bb. Past methods based on sampling the extracellular concentration of a membrane-impermeable ion tracer, such as tetramethylammonium (TMA<jats:sup>+<\/jats:sup>), can characterize either the dynamic \u03b1( t) alone or the constant \u03b1 and \u03bb in resting state but never the dynamic \u03b1( t) and \u03bb( t) simultaneously in short-lived brain events. In this work, we propose to use a sinusoidal method of TMA<jats:sup>+<\/jats:sup>to provide time-resolved quantification of \u03b1( t) and \u03bb( t) in acute brain events. This method iontophoretically injects TMA<jats:sup>+<\/jats:sup>in the brain ECS by a sinusoidal time pattern, samples the resulting TMA<jats:sup>+<\/jats:sup>diffusion waveform at a distance, and analyzes the transient modulations of the amplitude and phase lag of the sampled TMA<jats:sup>+<\/jats:sup>waveform to infer \u03b1( t) and \u03bb( t). Applicability of the sinusoidal method was verified through computer simulations of the sinusoidal TMA<jats:sup>+<\/jats:sup>diffusion waveform in cortical spreading depression. Parameter sensitivity analysis identified the sinusoidal frequency and the interelectrode distance as two key operating parameters. Compared with other TMA<jats:sup>+<\/jats:sup>-based methods, the sinusoidal method can more accurately capture the dynamic \u03b1( t) and \u03bb( t) in acute brain events and is equally applicable to other pathological episodes such as epilepsy, transient ischemic attack, and brain injury. Future improvement of the method should focus on high-fidelity extraction of the waveform amplitude and phase angle.<\/jats:p><jats:p>NEW &amp; NOTEWORTHY An iontophoretic sinusoidal method of tetramethylammonium is described to capture the dynamic brain extracellular space volume fraction \u03b1 and diffusion tortuosity \u03bb. The sinusoidal frequency and interelectrode distance are two key operating parameters affecting the method\u2019s accuracy in capturing \u03b1( t) and \u03bb( t). High-fidelity extraction of the waveform amplitude and phase lag is critical to successful sinusoidal analyses.<\/jats:p>","DOI":"10.1152\/jn.00347.2018","type":"journal-article","created":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T23:54:42Z","timestamp":1550706882000},"page":"1718-1734","source":"Crossref","is-referenced-by-count":5,"title":["Time-resolved quantification of the dynamic extracellular space in the brain during short-lived event: methodology and simulations"],"prefix":"10.1152","volume":"121","author":[{"given":"Kevin C.","family":"Chen","sequence":"first","affiliation":[{"name":"Multidisciplinary Research Center, Shantou University, Shantou, Guangdong, China"},{"name":"Department of Biomedical Engineering, Shantou University, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Multidisciplinary Research Center, Shantou University, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui-Hui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Multidisciplinary Research Center, Shantou University, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"24","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4522(95)00308-6"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1002\/glia.1084"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1046\/j.1460-9568.1999.00606.x"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2006.10.004"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0270(02)00299-6"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4522(98)00700-3"},{"key":"B7","doi-asserted-by":"crossref","DOI":"10.1515\/9780691218632","volume-title":"Time Series Analysis","author":"Hamilton JD","year":"1994"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1111\/j.1748-1716.1980.tb06544.x"},{"volume-title":"Linear System Theory","year":"2009","author":"Hespanha JP","key":"B9"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1528-1167.2012.03471.x"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.12-11-04243.1992"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1994.71.6.2548"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1002\/jnr.20871"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2002.017541"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-0651-8_15"},{"key":"B16","doi-asserted-by":"crossref","first-page":"S85","DOI":"10.33549\/physiolres.930000.51.S85","volume":"51","author":"Mazel T","year":"2002","journal-title":"Physiol Res"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1991.10484804"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1999.82.4.1818"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-6123(00)25007-3"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1981.sp013981"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2006.02.034"},{"key":"B22","volume-title":"Numerical Recipes in Fortran 90","author":"Press WH","year":"1996","edition":"2"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.05-02-00532.1985"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1993.70.5.2035"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00804.2015"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1388"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00027.2007"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1152\/jn.2000.84.5.2449"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1989.61.5.927"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1097\/00004647-200109000-00005"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1097\/00004647-199702000-00009"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1126\/science.1241224"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1002\/glia.22853"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00348.2018"}],"container-title":["Journal of Neurophysiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.physiology.org\/doi\/pdf\/10.1152\/jn.00347.2018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T23:39:50Z","timestamp":1721000390000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.physiology.org\/doi\/10.1152\/jn.00347.2018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,1]]},"references-count":34,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5,1]]}},"alternative-id":["10.1152\/jn.00347.2018"],"URL":"https:\/\/doi.org\/10.1152\/jn.00347.2018","relation":{},"ISSN":["0022-3077","1522-1598"],"issn-type":[{"type":"print","value":"0022-3077"},{"type":"electronic","value":"1522-1598"}],"subject":[],"published":{"date-parts":[[2019,5,1]]}}}