---
_id: '2954'
abstract:
- lang: eng
  text: Spontaneous postsynaptic currents (PSCs) provide key information about the
    mechanisms of synaptic transmission and the activity modes of neuronal networks.
    However, detecting spontaneous PSCs in vitro and in vivo has been challenging,
    because of the small amplitude, the variable kinetics, and the undefined time
    of generation of these events. Here, we describe a, to our knowledge, new method
    for detecting spontaneous synaptic events by deconvolution, using a template that
    approximates the average time course of spontaneous PSCs. A recorded PSC trace
    is deconvolved from the template, resulting in a series of delta-like functions.
    The maxima of these delta-like events are reliably detected, revealing the precise
    onset times of the spontaneous PSCs. Among all detection methods, the deconvolution-based
    method has a unique temporal resolution, allowing the detection of individual
    events in high-frequency bursts. Furthermore, the deconvolution-based method has
    a high amplitude resolution, because deconvolution can substantially increase
    the signal/noise ratio. When tested against previously published methods using
    experimental data, the deconvolution-based method was superior for spontaneous
    PSCs recorded in vivo. Using the high-resolution deconvolution-based detection
    algorithm, we show that the frequency of spontaneous excitatory postsynaptic currents
    in dentate gyrus granule cells is 4.5 times higher in vivo than in vitro.
acknowledgement: "This work was supported by the Deutsche Forschungsgemeinschaft (TR3/B10)
  and a European Research Council Advanced grant to P.J.\r\nWe thank H. Hu, S. J.
  Guzman, and C. Schmidt-Hieber for critically reading the manuscript, I. Koeva and
  F. Marr for technical support, and E. Kramberger for editorial assistance.\r\n"
article_processing_charge: No
author:
- first_name: Alejandro
  full_name: Pernia-Andrade, Alejandro
  id: 36963E98-F248-11E8-B48F-1D18A9856A87
  last_name: Pernia-Andrade
- first_name: Sarit
  full_name: Goswami, Sarit
  id: 3A578F32-F248-11E8-B48F-1D18A9856A87
  last_name: Goswami
- first_name: Yvonne
  full_name: Stickler, Yvonne
  id: 63B76600-E9CC-11E9-9B5F-82450873F7A1
  last_name: Stickler
- first_name: Ulrich
  full_name: Fröbe, Ulrich
  last_name: Fröbe
- first_name: Alois
  full_name: Schlögl, Alois
  id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
  last_name: Schlögl
  orcid: 0000-0002-5621-8100
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
citation:
  ama: Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. A deconvolution
    based method with high sensitivity and temporal resolution for detection of spontaneous
    synaptic currents in vitro and in vivo. <i>Biophysical Journal</i>. 2012;103(7):1429-1439.
    doi:<a href="https://doi.org/10.1016/j.bpj.2012.08.039">10.1016/j.bpj.2012.08.039</a>
  apa: Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., &#38;
    Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal
    resolution for detection of spontaneous synaptic currents in vitro and in vivo.
    <i>Biophysical Journal</i>. Biophysical Society. <a href="https://doi.org/10.1016/j.bpj.2012.08.039">https://doi.org/10.1016/j.bpj.2012.08.039</a>
  chicago: Pernia-Andrade, Alejandro, Sarit Goswami, Yvonne Stickler, Ulrich Fröbe,
    Alois Schlögl, and Peter M Jonas. “A Deconvolution Based Method with High Sensitivity
    and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro
    and in Vivo.” <i>Biophysical Journal</i>. Biophysical Society, 2012. <a href="https://doi.org/10.1016/j.bpj.2012.08.039">https://doi.org/10.1016/j.bpj.2012.08.039</a>.
  ieee: A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M.
    Jonas, “A deconvolution based method with high sensitivity and temporal resolution
    for detection of spontaneous synaptic currents in vitro and in vivo,” <i>Biophysical
    Journal</i>, vol. 103, no. 7. Biophysical Society, pp. 1429–1439, 2012.
  ista: Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. 2012.
    A deconvolution based method with high sensitivity and temporal resolution for
    detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal.
    103(7), 1429–1439.
  mla: Pernia-Andrade, Alejandro, et al. “A Deconvolution Based Method with High Sensitivity
    and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro
    and in Vivo.” <i>Biophysical Journal</i>, vol. 103, no. 7, Biophysical Society,
    2012, pp. 1429–39, doi:<a href="https://doi.org/10.1016/j.bpj.2012.08.039">10.1016/j.bpj.2012.08.039</a>.
  short: A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas,
    Biophysical Journal 103 (2012) 1429–1439.
corr_author: '1'
das_tickbox: '1'
date_created: 2018-12-11T12:00:32Z
date_published: 2012-10-03T00:00:00Z
date_updated: 2026-07-06T12:32:51Z
day: '03'
department:
- _id: PeJo
- _id: ScienComp
doi: 10.1016/j.bpj.2012.08.039
external_id:
  isi:
  - '000309571400005'
  pmid:
  - '23062335'
fulldoi: https://doi.org/10.1016/j.bpj.2012.08.039
intvolume: '       103'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3471482/
month: '10'
oa: 1
oa_version: Submitted Version
page: 1429 - 1439
pmid: 1
project:
- _id: 25BDE9A4-B435-11E9-9278-68D0E5697425
  grant_number: SFB-TR3-TP10B
  name: "Glutamaterge synaptische Ã\x9Cbertragung und PlastizitÃ¤t in hippocampalen
    Mikroschaltkreisen"
publication: Biophysical Journal
publication_status: published
publisher: Biophysical Society
publist_id: '3774'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A deconvolution based method with high sensitivity and temporal resolution
  for detection of spontaneous synaptic currents in vitro and in vivo
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 103
year: '2012'
...
