glial cells and astrocytes: neural networks modulators?
TRANSCRIPT
Glia/Neuron ratio
• Glia not just a « glue », lots of different functions
• Friede (1954) : Glial index, or glia/neurons (G/N) ratio
• How does this ratio vary across species, and to what extent this variation can be informative of glia’s function ?
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(Herculano-Houzel, 2014)
Varies with neuronal density?
• Why ?– Metabolic argument : larger neurons because of
smaller neuronal density (= metabolic cost?)
8
(Herculano-Houzel, 2014)
Varies with neuronal density?
• Why ?– Metabolic argument : larger neurons because of
smaller neuronal density (= metabolic cost?)
9
(Herculano-Houzel, 2014)
Varies with neuronal density?
• Why ?– Developmental argument : glia can proliferate
during postnatal development– Glia : small size variations
and uniformly distributed
(contrary to neurons)→ G/N vary with neuronaldensity (not glial density)
– Consistent with data !
10
(Herculano-Houzel, 2014)
Implications of G/N ratio• Uniform variation → highly conservated
throughout evolution
• Suggests glial cells perform fundamental role, since they can hardly be altered
• May favor sparse coding
• Human exception : larger and more complex astrocytes. Why ?– Brain size vs intrinsic properties of human astrocytes ?– Core to human cognition ?
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(Herculano-Houzel, 2014)
Why is sleep important?• Essential for memory and cognitive functions
• Universal for all animals with a brain (mammals, birds, insects?, etc.)
• Necessary, else death is guaranteed
• Precise physiological (REM/NREM, slow waves) or behavioral (no response to stimuli) definitions
• Compensation after deprivation (more frequent slow waves)
• Questions :– What functionality ?– How it works ? 12
Sleep functionality: theories
• Synaptic homeostasis (SHY) (Tononi & Cirelli, 2003) : wake LTP-potentiated synapses weights are normalized during sleep for efficiency
• Memory trace replay (Lee & Wilson,2002) : memories are consolidated by offline reactivation during sleep
=> Sleep = regulation of plasticity ?
=> Contradictory or complementary theories?
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Local synaptic modulation
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• 2 pathways for local synaptic modulation by astrocytes :
(2B) A1 pathway is tonically activated to clean neurotransmitters,While phasic A1 activation can regulate depending on synaptic activity
(Fellin et al, 2014)
Up-down states modulation
15
• Slow waves reduction in sleep-deprived dnSNARE mice can be explained by the modulation of up-down states probabilities :
Deprived dnSNARE mice cannot compensate !
(Fellin et al, 2009)
Take home message• Astrocytes :
– Active synaptic modulators (not just passive regulators) similar to neurons gatekeepers (synaptic gating)
– Highly conservated throughout evolution = essential role– Essential (core?) for sleep (and thus memory) functions
• Questions :– Characteristics intrinsic or due to neural environment ?– Astrocytes participate in the formation of complex neural
networks ? Do evolved astrocytes allow to better learn ?
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– The Glia/Neuron Ratio, Herculano-Houzel, 2014, Glia, 62(9), 1377-1391.
– Astrocyte regulation of sleep circuits: experimental and modeling perspectives, Fellin et al, Frontiers in Computational Neuroscience, 2014
– Time to be SHY? Some comments on sleep and synaptic homeostasis, Tononi & Cirelli, 2012, Neural plasticity.
– Astrocytes drive neural network synchrony, Levine-Small & Guebeli & Goddard & Yang & Chuong & Chow & Egert, 2012, In MEA Meeting 2012(p. 30).
– Memory of sequential experience in the hippocampus during slow wave sleep, Lee & Wilson, 2002, Neuron, 36(6), 1183-1194.
– Reverse replay of behavioural sequences in hippocampal place cells during the awake state, Foster & Wilson, 2006, Nature, 440(7084), 680-683.
References slideshare.net/LRQ3000
Network synchrony modulation
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Local phasic ATP/Adn modulation may promote global synchrony :
(Fellin et al, 2014)
Sleep-deprived dnSNARE mice
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• Sleep-deprived dnSNARE mice have difficulties to compensate when under high homeostatic sleep pressure :
Deprived dnSNARE mice have reduced compensation !
(Fellin et al, 2009)
Bistable neurons, synaptic gating
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• Bistable neurons can switch between two states : Up and Down
• Allow to create selective inhibition (aka : synaptic gating)
• A third neuron (or astrocyte?) can modulate this gating : the gatekeeper
Up and down state in one neuron
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• Up-state = depolarized ; Down-state = hyperpolarized (close to membrane potential).
• Change neuron’s dynamics ; Up needs balanced excitation and inhibition ? (Wilson & Cowan 1972)
• Can switch state without triggering a spike
DownDownUpUp
Up and down states
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• Up and down states in dnSNARE mice (in-vivo patch-clamp recordings from pyramidal neurons in somato-sensory cortex) :
(Fellin et al, 2009)
Neural oscillations
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• Oscillation = rythmic pattern of activation of a single neuron or a network