PMID- 27208694
OWN - NLM
STAT- MEDLINE
DCOM- 20171108
LR  - 20191210
IS  - 1872-678X (Electronic)
IS  - 0165-0270 (Linking)
VI  - 269
DP  - 2016 Aug 30
TI  - Bayesian methods for event analysis of intracellular currents.
PG  - 21-32
LID - S0165-0270(16)30103-0 [pii]
LID - 10.1016/j.jneumeth.2016.05.015 [doi]
AB  - BACKGROUND: Investigation of neural circuit functioning often requires 
      statistical interpretation of events in subthreshold electrophysiological 
      recordings. This problem is non-trivial because recordings may have moderate 
      levels of structured noise and events may have distinct kinetics. In addition, 
      novel experimental designs that combine optical and electrophysiological methods 
      will depend upon statistical tools that combine multimodal data. NEW METHOD: We 
      present a Bayesian approach for inferring the timing, strength, and kinetics of 
      post-synaptic currents (PSCs) from voltage-clamp electrophysiological recordings 
      on a per event basis. The simple generative model for a single voltage-clamp 
      recording flexibly extends to include additional structure to enable experiments 
      designed to probe synaptic connectivity. RESULTS: We validate the approach on 
      simulated and real data. We also demonstrate that extensions of the basic PSC 
      detection algorithm can handle recordings contaminated with optically evoked 
      currents, and we simulate a scenario in which calcium imaging observations, 
      available for a subset of neurons, can be fused with electrophysiological data to 
      achieve higher temporal resolution. COMPARISON WITH EXISTING METHODS: We apply 
      this approach to simulated and real ground truth data to demonstrate its higher 
      sensitivity in detecting small signal-to-noise events and its increased 
      robustness to noise compared to standard methods for detecting PSCs. CONCLUSIONS: 
      The new Bayesian event analysis approach for electrophysiological recordings 
      should allow for better estimation of physiological parameters under more 
      variable conditions and help support new experimental designs for circuit 
      mapping.
CI  - Copyright (c) 2016 Elsevier B.V. All rights reserved.
FAU - Merel, Josh
AU  - Merel J
AD  - Neurobiology and Behavior Program, Columbia University, United States; Center for 
      Theoretical Neuroscience, Columbia University, United States. Electronic address: 
      jsmerel@gmail.com.
FAU - Shababo, Ben
AU  - Shababo B
AD  - Helen Wills Neuroscience Institute, University of California, Berkeley, United 
      States.
FAU - Naka, Alex
AU  - Naka A
AD  - Helen Wills Neuroscience Institute, University of California, Berkeley, United 
      States.
FAU - Adesnik, Hillel
AU  - Adesnik H
AD  - Helen Wills Neuroscience Institute, University of California, Berkeley, United 
      States; Department of Molecular and Cellular Biology, University of California, 
      Berkeley, United States.
FAU - Paninski, Liam
AU  - Paninski L
AD  - Neurobiology and Behavior Program, Columbia University, United States; Center for 
      Theoretical Neuroscience, Columbia University, United States; Department of 
      Statistics, Columbia University, United States; Grossman Center for the 
      Statistics of Mind, Columbia University, United States.
LA  - eng
PT  - Journal Article
PT  - Validation Study
DEP - 20160518
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
RN  - SY7Q814VUP (Calcium)
SB  - IM
MH  - *Algorithms
MH  - Animals
MH  - Automation, Laboratory/*methods
MH  - Bayes Theorem
MH  - Calcium/metabolism
MH  - Computer Simulation
MH  - Intracellular Space/physiology
MH  - Mice, Transgenic
MH  - Optogenetics/methods
MH  - Patch-Clamp Techniques/*methods
MH  - Pattern Recognition, Automated/*methods
MH  - Synapses/*physiology
MH  - *Synaptic Potentials/physiology
MH  - Tissue Culture Techniques
MH  - Voltage-Sensitive Dye Imaging/methods
OTO - NOTNLM
OT  - Bayesian methods
OT  - Calcium imaging
OT  - Connectivity mapping
OT  - Event detection
OT  - MCMC
OT  - Postsynaptic current
EDAT- 2016/05/22 06:00
MHDA- 2017/11/09 06:00
CRDT- 2016/05/22 06:00
PHST- 2016/03/22 00:00 [received]
PHST- 2016/05/13 00:00 [revised]
PHST- 2016/05/16 00:00 [accepted]
PHST- 2016/05/22 06:00 [entrez]
PHST- 2016/05/22 06:00 [pubmed]
PHST- 2017/11/09 06:00 [medline]
AID - S0165-0270(16)30103-0 [pii]
AID - 10.1016/j.jneumeth.2016.05.015 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2016 Aug 30;269:21-32. doi: 10.1016/j.jneumeth.2016.05.015. 
      Epub 2016 May 18.