Activity-dependent transcriptional regulation of nuclear respiratory factor-1 in cultured rat visual cortical neurons

Neuroscience ◽  
2006 ◽  
Vol 141 (3) ◽  
pp. 1181-1192 ◽  
Author(s):  
S.J. Yang ◽  
H.L. Liang ◽  
M.T.T. Wong-Riley
Keyword(s):  
Transcriptional Regulation ◽  
Cortical Neurons ◽  
Nuclear Respiratory Factor ◽  
Nuclear Respiratory Factor 1 ◽  
Visual Cortical ◽  
Activity Dependent

scholarly journals BDNF Regulates the Intrinsic Excitability of Cortical Neurons

1999 ◽  
Vol 6 (3) ◽  
pp. 284-291
Author(s):  
Niraj S. Desai ◽  
Lana C. Rutherford ◽  
Gina G. Turrigiano
Keyword(s):  
Cortical Neurons ◽  
Neuronal Excitability ◽  
Pyramidal Neurons ◽  
Homeostatic Plasticity ◽  
Intrinsic Excitability ◽  
Intrinsic Properties ◽  
General Role ◽  
Outward Currents ◽  
Visual Cortical ◽  
Activity Dependent

Neocortical pyramidal neurons respond to prolonged activity blockade by modulating their balance of inward and outward currents to become more sensitive to synaptic input, possibly as a means of homeostatically regulating firing rates during periods of intense change in synapse number or strength. Here we show that this activity-dependent regulation of intrinsic excitability depends on the neurotrophin brain-derived neurotrophic factor (BDNF). In experiments on rat visual cortical cultures, we found that exogenous BDNF prevented, and a TrkB–IgG fusion protein reproduced, the change in pyramidal neuron excitability produced by activity blockade. Most of these effects were also observed in bipolar interneurons, indicating a very general role for BDNF in regulating neuronal excitability. Moreover, earlier work has demonstrated that BDNF mediates a different kind of homeostatic plasticity present in these same cultures: scaling of the quantal amplitude of AMPA-mediated synaptic inputs up or down as a function of activity. Taken together, these results suggest that BDNF may be the signal controlling a coordinated regulation of synaptic and intrinsic properties aimed at allowing cortical networks to adapt to long-lasting changes in activity.

scholarly journals Poly(ADP-ribose) Polymerase 1 Interacts with Nuclear Respiratory Factor 1 (NRF-1) and Plays a Role in NRF-1 Transcriptional Regulation

2009 ◽  
Vol 284 (13) ◽  
pp. 8621-8632 ◽  
Author(s):  
Mohammad B. Hossain ◽  
Ping Ji ◽  
Ramakrishnan Anish ◽  
Raymond H. Jacobson ◽  
Shinako Takada
Keyword(s):  
Transcriptional Regulation ◽  
Nuclear Respiratory Factor ◽  
Nuclear Respiratory Factor 1

Activity-dependent regulation of excitability in rat visual cortical neurons

1999 ◽  
Vol 26-27 ◽  
pp. 101-106 ◽  
Author(s):  
Niraj S Desai ◽  
Sacha B Nelson ◽  
Gina G Turrigiano
Keyword(s):  
Cortical Neurons ◽  
Visual Cortical ◽  
Activity Dependent

Constraint on the Number of Synaptic Inputs to a Visual Cortical Neuron Controls Receptive Field Formation

2009 ◽  
Vol 21 (9) ◽  
pp. 2554-2580 ◽  
Author(s):  
Shigeru Tanaka ◽  
Masanobu Miyashita
Keyword(s):  
Cortical Neurons ◽  
Metabotropic Glutamate Receptor ◽  
Hebbian Learning ◽  
Receptive Fields ◽  
Gradual Transition ◽  
Synaptic Inputs ◽  
Metabotropic Glutamate ◽  
Visual Cortical Neuron ◽  
Visual Cortical ◽  
Activity Dependent

To date, Hebbian learning combined with some form of constraint on synaptic inputs has been demonstrated to describe well the development of neural networks. The previous models revealed mathematically the importance of synaptic constraints to reproduce orientation selectivity in the visual cortical neurons, but biological mechanisms underlying such constraints remain unclear. In this study, we addressed this issue by formulating a synaptic constraint based on activity-dependent mechanisms of synaptic changes. Particularly, considering metabotropic glutamate receptor-mediated long-term depression, we derived synaptic constraint that suppresses the number of inputs from individual presynaptic neurons. We performed computer simulations of the activity-dependent self-organization of geniculocortical inputs with the synaptic constraint and examined the formation of receptive fields (RFs) of model visual cortical neurons. When we changed the magnitude of the synaptic constraint, we found the emergence of distinct RF structures such as concentric RFs, simple-cell-like RFs, and double-oriented RFs and also a gradual transition between spatiotemporal separable and inseparable RFs. Thus, the model based on the synaptic constraint derived from biological consideration can account systematically for the repertoire of RF structures observed in the primary visual cortices of different species for the first time.

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