One of the most technically challenging goals in neurophysiology is characterization of interneurons that typically exist in the mammalian brain with a sufficiently low density that there is only a very low probability of a successful intracellular recording. Even when successful, the duration of an intracellular recording from an interneuron can be very short; thus, the limited data from such recordings is particularly valuable. Dr. Helen Scharfman is one of only a few investigators in the world who has successfully developed techniques for recording intracellularly from principal (i.e., projection) neurons and interneurons of the hippocampus simultaneously. Because of the technical difficulties alluded to above, however, there are many instances in which simultaneous recordings are interrupted before electrical stimulation or intracellular filling (with dyes or other markers) can be completed which allow conclusive identification of the functional relation between the neuron pair being investigated. We are working with Dr. Scharfman to investigate the possibility that additional information can be extracted from the data successfully collected and that now is typically not used, e.g., spontaneous membrane potential fluctuations and action potential events that may contain information as to the synaptic connections between the two neurons. Both traditional cross-correlation approaches and analysis of coherence in activity of the neurons pairs is being explored. Dr. Scharfman's work on this project is supported by the NINIDS (to HES).

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR001861-14
Application #
6120745
Study Section
Project Start
1998-09-30
Project End
1999-08-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
14
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Song, Dong; Wang, Haonan; Tu, Catherine Y et al. (2013) Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci 35:335-57
Hoppenbrouwers, Toke; Oliveira, Flavia; Sandarupa, Stanislaus et al. (2012) The development of the circadian heart rate rhythm (CHR) in Asian infants. Early Hum Dev 88:555-61
Wang, Xiaoning; Schumitzky, Alan; D'Argenio, David Z (2007) Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm. Comput Stat Data Anal 51:6614-6623
Gholmieh, Ghassan; Courellis, Spiros; Marmarelis, Vasilis et al. (2007) Nonlinear dynamic model of CA1 short-term plasticity using random impulse train stimulation. Ann Biomed Eng 35:847-57
Gholmieh, Ghassan; Courellis, Spiros; Dimoka, Angelika et al. (2004) An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. J Neurosci Methods 136:111-21
Ashjian, Peter; Elbarbary, Amir; Zuk, Patricia et al. (2004) Noninvasive in situ evaluation of osteogenic differentiation by time-resolved laser-induced fluorescence spectroscopy. Tissue Eng 10:411-20
Blasi, Anna; Jo, Javier; Valladares, Edwin et al. (2003) Cardiovascular variability after arousal from sleep: time-varying spectral analysis. J Appl Physiol 95:1394-404
Jo, Javier A; Blasi, Anna; Valladares, Edwin et al. (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome during sleep. Am J Respir Crit Care Med 167:128-36
Belozeroff, Vasily; Berry, Richard B; Khoo, Michael C K (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome. Sleep 26:65-73
Bading, James R; Yoo, Paul B; Fissekis, John D et al. (2003) Kinetic modeling of 5-fluorouracil anabolism in colorectal adenocarcinoma: a positron emission tomography study in rats. Cancer Res 63:3667-74

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