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An imaging system for monitoring receptive field dynamics

Petersson, Per LU ; Holmer, Mattias LU ; Breslin, Thomas LU ; Granmo, Marcus LU and Schouenborg, Jens LU orcid (2001) In Journal of Neuroscience Methods 104(2). p.123-131
Abstract
The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mapping of multiple receptive fields and their respective sensitivity distributions. RFI uses random stimulation of multiple sites, in combination with an averaging procedure, to extract the relative contribution from each of the stimulated sites. Automated multi-electrode stimulation and recording, with spike detection and counting, are performed on-line by the RFI programme. Direct user interpretation of receptive field changes is made possible by a user-friendly graphic interface. A series of imaging experiments was carried out to evaluate the functional capacity of the system. RFI was tested on the receptive fields in the nociceptive... (More)
The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mapping of multiple receptive fields and their respective sensitivity distributions. RFI uses random stimulation of multiple sites, in combination with an averaging procedure, to extract the relative contribution from each of the stimulated sites. Automated multi-electrode stimulation and recording, with spike detection and counting, are performed on-line by the RFI programme. Direct user interpretation of receptive field changes is made possible by a user-friendly graphic interface. A series of imaging experiments was carried out to evaluate the functional capacity of the system. RFI was tested on the receptive fields in the nociceptive withdrawal reflex (NWR) system in the rat. RFI replicates the results obtained with conventional methods and allows the display of receptive field dynamics induced by topical spinal cord application of morphine and naloxone on a minute-to-minute time scale. Data variance was estimated, and proved to be small enough to yield a stable representation of the receptive field, thereby achieving a high sensitivity in dynamic imaging experiments. The large number of stimulation and registration sites that can be monitored in parallel permits detailed network analysis of synaptic sets, corresponding to 'connection weights' between individual neurones. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Neuronal networks, Somatosensory system, Spinal cord, Sensorimotor integration, Plasticity
in
Journal of Neuroscience Methods
volume
104
issue
2
pages
123 - 131
publisher
Elsevier
external identifiers
  • pmid:11164238
  • scopus:0035863640
ISSN
1872-678X
DOI
10.1016/S0165-0270(00)00332-0
language
English
LU publication?
yes
id
e657afcf-ed79-41f5-be0b-dc2d90ba72b7 (old id 1122470)
date added to LUP
2016-04-01 11:55:11
date last changed
2024-01-08 01:28:26
@article{e657afcf-ed79-41f5-be0b-dc2d90ba72b7,
  abstract     = {{The paper describes a computerized method, termed receptive field imaging (RFI), for the rapid mapping of multiple receptive fields and their respective sensitivity distributions. RFI uses random stimulation of multiple sites, in combination with an averaging procedure, to extract the relative contribution from each of the stimulated sites. Automated multi-electrode stimulation and recording, with spike detection and counting, are performed on-line by the RFI programme. Direct user interpretation of receptive field changes is made possible by a user-friendly graphic interface. A series of imaging experiments was carried out to evaluate the functional capacity of the system. RFI was tested on the receptive fields in the nociceptive withdrawal reflex (NWR) system in the rat. RFI replicates the results obtained with conventional methods and allows the display of receptive field dynamics induced by topical spinal cord application of morphine and naloxone on a minute-to-minute time scale. Data variance was estimated, and proved to be small enough to yield a stable representation of the receptive field, thereby achieving a high sensitivity in dynamic imaging experiments. The large number of stimulation and registration sites that can be monitored in parallel permits detailed network analysis of synaptic sets, corresponding to 'connection weights' between individual neurones.}},
  author       = {{Petersson, Per and Holmer, Mattias and Breslin, Thomas and Granmo, Marcus and Schouenborg, Jens}},
  issn         = {{1872-678X}},
  keywords     = {{Neuronal networks; Somatosensory system; Spinal cord; Sensorimotor integration; Plasticity}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{123--131}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Neuroscience Methods}},
  title        = {{An imaging system for monitoring receptive field dynamics}},
  url          = {{http://dx.doi.org/10.1016/S0165-0270(00)00332-0}},
  doi          = {{10.1016/S0165-0270(00)00332-0}},
  volume       = {{104}},
  year         = {{2001}},
}