Memory Flashcards

1
Q

Whitlock

A

2006, evidence learning induced LTP in vivo
− Used inhibitory avoidance (IA) paradigm, which has been shown to evoke stable memory trace in a single trial
− IA mimicked the effects of HFS in CA1
− Immediate NMDAR-dependent increase in phosphorylation of GluR1
− Delivery of SluR1 and GluR2 (but not NR1) to the synaptoneurosome biochemical fraction
− Increase in the slope of the evoked fEPSP
− IA-induced increases in fEPSP partially occluded subsequent LTP by HFS
− Evidence LTP and learning induce change by common mechanism
− (But note – this is association, doesn’t show causality)

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2
Q

O’Keefe and Nadel

A

1978, argued for the Hc as a cognitive map
− Perhaps most influential and enduring of the theories. Suggested that primary role of Hc was to encode spatial information and to form spatial memories

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3
Q

O’Keefe and Dostrovsky

A

1971, discovered place cells
− Recorded from rat Hc (CA1) PCs whilst rat explored spatial environment
− Response of cells varied as a function of rat’s spatial location: place cells (type of PC) only fire when animal occupies a specific location within its environment
− Different place cells have different place fields (locations where they fire), so are thought to provide a cognitive map for the animal
− No apparent topography to pattern of place cells

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4
Q

Morris (1)

A

1982, lesion evidence for Hc in spatial memory
− Hc lesions impair spatial memory performance in morris watermaze task in mice
− Lesioned mice do not learn or get faster, spend equal time in each quadrant

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5
Q

Morris (2)

A

1986, NMDAR antag (D-AP5) imparis performance on spatial watermaze task
− rats (controls and D-AP5) trained in watermaze task for 4 days
− controls learned to escape relatively rapidly
− D-AP5 rats learned more slowly, but their impairment was not striking
− Transfer test: take platform away, track movement for 60seconds
− Controls spend most time in trained quadrant, least in opposite
− D-AP5 showed little bias towards training quadrant, mostly equal
− Further training
− D-AP5 stabilised their escape latencies at much higher level, taking longer, more indirect routes
− Visual discrimination showed no difference between groups (using visually different platforms)
− So not likely to be a secondary sensorimotor/motivational impairment
− Confirmed D-APV blocked LTP in vivo, but not basal synaptic transmission
− Implies blocking NMDAR-LTP learning impairment

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6
Q

Pastalkova

A

2006, ZIP infusion produced loss of 1-day old spatial information
− Injected a cell-permeable PKM(zeta) inhibitor into the rat Hc
− It blocked LTP maintenance in vivo, and produced persistent loss of 1-day old memories
− The inhibitor could block LTP and impair Hc-dependent memory even if administered days after acquisition
− Argued mechanism maintaining LTP also sustains spatial memory

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7
Q

Keith and Ruddy

A

1990, argued that D-AP5 animals were impaired in sensory motor domains, as they often fell back off the platform

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8
Q

Bannerman (1)

A

1995, found that spatial pretraining ameliorates the AP5 effects on learning
− Carried out above experiment and got same results
− Pretrained rats in a watermaze task in different lab, then implanted minipumps and trained rats in second watermaze task
− AP5 rats were still slower, but searched predominantly in the trained quadrant during transfer test
− Showed that Hc was still necessary for spatial learning after pretraining (lesioning showed deficits)
− AP5-induced deficit still seen, however, is animal is pretrained using a non-spatial task
− So, NMDARs may not be required for encoding spatial representations of a specific environment

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9
Q

Tsien

A

1996,
− Using Cre/loxP, created mouse strain with CA1-specific deletion of the GluN1 subunit in PCs. Mice grow into adulthood without obvious abnormalities
− Adult mice lack NMDAR-mediated currents and LTP at CA1 synapses (shown in slice experiments)
− Spatial watermaze task: KO mice were deficient in learning (longer escape latency, didn’t prefer trained quadrant in transfer task)
− Non-spatial landmark task: KO mice learned slightly slower, but reached same level of optimal performance as controls
− Argue KO mice display a selective and significant deficit in spatial memory

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10
Q

Fukaya

A

2003, argued that the KO was not Hc specific

− At 2 months of age, immunohistochemistry showed mice have reduced GluN1 levels in cortex and neocortex

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11
Q

Bannerman (2)

A

2012, found that KO differentially effected different spatial tasks
− Used a Hc-specific GluN1 KO mouse line (NMDARs knocked out in PCs in CA1 and granule cells in DG)
− Some Cre expression in olfactory bulb granule cells, and in fewer L2 piriform cortex neurons, but only minimal NMDAR cortex ablation
− Showed a lack of LTP in CA1
− 1) Watermaze task
− KO not impaired: acquired spatial reference memory as well as controls, spent MORE time in trained quadrant than controls
− Impaired in spatial reversal testing (move platform to opposite side)
− 2) Radial maze task (comparable to land watermaze task)
− Mice must discriminate between arms containing food/no food
− KO impaired at acquiring spatial reference memory (makes more choice errors)
− Seems Hc NMDARs play a role in aspects of spatial memory performance, but not necessarily in the formation of associative, long-term memories

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12
Q

Bannerman (3)

A

2014, argued that blocking NMDAR results in a behavioural inhibition deficit
− Watermaze task with naïve KO/control mice
− A) non-spatial discrimination: 2 visually distinct beacons (1 with platform), position moved between trials
− KO not impaired
− B) Spatial discrimination: 2 visually identical beacon (1 with platform), mouse had to use allocentric spatial location to discriminate
− KO significantly impaired (made more choice errors)
− BUT, showed no deficit in transfer test
− KO spent as much time in training quadrant as controls- they knew as much about the spatial location of the platform
− Number of errors varied systematically depending on where the trails started form
− Increased choice errors when started closer to decoy beacon
− No deficits when always started equidistant
− So, seems mice able to learn spatial location (agreeing with earlier findings)
− Seems not a spatial learning deficit, but rather reflects an inability to use the spatial cue to behaviourally inhibit very strong conditioned response to swim towards closest beacon

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13
Q

Hoffman

A

2002, could still induce LTP by theta-burst pairing protocol in CA1-GluN1 KO mice (mimics theta waves generated in exploratory behaviour)

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14
Q

Kohl

A

2011, found that not all synapses in Hc are ‘as’ plastic
− Used optogenetic tools for cell type- and hemisphere-specific recruitment of CA3 axons
− Found that inputs from left CA3 onto CA1 PCs more able to produce t-LTP than inputs from the right CA3
− The hemispheric asymmetry in plasticity could be explained by differential GluN2B expression at left/right CA3 targeted synapses
− NMDAR with GluN2B favour LTP induction
− Behavioural consequences of this remain to be investigated

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15
Q

Bannerman (review)

A

2014,
− Argue Hc NMDARs are not required to encode associative spatial memories, but are important for inhibiting responding to ambiguous or uncertain cues
− might be important when must disambiguate between overlapping/competing memories
− Would explain results above:
− Spatial task with identical cues ambiguity impairment
− Pre-training with then new allocentric cues no ambiguity
− Spatial reversal task, unchanged allocentric cues ambiguity

− Perhaps Hc is important for memory, but is not site of encoding
− May be more for memory retrieval, particularly of retrieving correct memory in situation of ambiguous/overlapping memories

− Also argue that Hc plays a key role in anxiety
− Anxiety can be described as uncertainty arising from concurrently available response choices or goals
− Earlier idea can be extended – Hc acts as a comparator when a mismatch occurs between the perceived state of the world and expectation based on memory
− dHc receives input of highly processed polymodel sensory information from cortical areas, vHc is more closely linked to subcortical structures like AmG and HPA axis
− dHc damage affect spatial learning
− vHc damage reduces anxiety in social interaction, elevated zero-maze and neophobia tests, doesn’t effect spatial memory

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16
Q

Trouche

A

2016, evidence could recode a cocaine-place memory engram to a neutral engram in mouse Hc
− Activity-dependent neuronal tagging and manipulation of neurons active during environment exploration
− Bilaterally injected dorsal CA1 of c-fos-tTA transgenic mice with TREG3G-ArchT-GFP (Archaerhodopsin-T; silencer) viral construct
− Activity leads to tTA expression through c-fos promoter, and transient removal of doxycycline from mouse diet allows tTA to interact with TRE3G, driving Arch-T-GFP expression
− So only cells active during time of Dox application are tagged
− Day after exposure, they optogentically silenced ArchT-GFP-tagged neurons while recording CA1 ensemble activity during re-exposure
− Tagged neurons had substantially decreased firing rates during light
− There were some neurons with unchanged activity
− But, also found ‘alternative’ neurons, which had increased firing rate during light (when tagged neurons were silenced)
− Found that photo-silencing of tagged ‘place-field responsive’ (PFR) cells (place cells) over 6 days decreased their PFR properties, but increased the PFR properties of ‘alternative’ cells a new place map emerged
− Recoding of Hc place map
− Investigated whether recoding Hc place map could reset memory of drug-associated environment
− Trained mice in conditioned place preference task to associate one compartment with cocaine, and the other with saline
− Both transgenic and control mice exhibited cocaine-place preference
− Transgenic mice given Dox in cocaine compartment
− After repetitive silencing when mouse was in cocaine-compartment, mouse no longer exhibited cocaine-place preference (neural activity had been shifted from tagged to alternative neurons)
− Mouse had forgotten cocaine association (but not the compartment itself)
− Evidence place cells are the building blocks of spatial associative memories
− Recording a selective Hc engram represents a potent strategy to reset spatial memories and neutralize maladaptive behaviour

17
Q

Ramirez

A

2013, generated an internally represented and behaviourally expressed fear memory via artificial means
− Had previously shown that optogenetic reactivation of Hc neurons activated during fear conditioning is sufficient to induce freezing behaviour in context specific manner light-induced memory recall
− Here, they labelled either DG or CA1 neurons activated by exposure to context 1 with ChR2
− C-fos tagged the neurons and drove Cre to flox ChR2
− Then reactivated these neurons during fear conditioning in context 2
− DG mice showed increased freezing (fear) later in context 1
− (not really implanting a new memory recombining elements already in the brain)

BUT – ‘turning on’ neurons is physiologically implausible we need to monitor the activity of neurons during learning and replay the activity

18
Q

Garner

A

2012, generated a synthetic memory trace by conjugating a context and artificially activated neuron ensemble
− Used c-Fos to introduce a DREADD receptor (designer receptor exclusively activated by designer drug) into neurons activated by context 1
− They then artificially activated these neurons during conditioning in distinct context 2 mice formed a hybrid memory representation