Experimental methods (I.e. N2) Flashcards

(24 cards)

1
Q

What is the dead salmon study? What does it show?

A

Danger of drawing conclusions from high dimensionality data analysed with low power (few repeats):
* High risk of false positives
* Statistic tests struggle to differentiate signal from noise

A dead salmon was exposed to an emotional valence task (i.e. presented with images of different emotional value).
* Image processing through a particular method identified an area with signficant BOLD signal change…
* This is not possible

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2
Q

What is the GRASP technique?

A

GFP reconstitution across synaptic partners.
* One GFP fragment injected with anterograde tracer (AAV1)
* Complementary fragment injected with retrograde tracer (e.g. AAV9) in other area
* Only becomes fluorescence when they meet, revealing a direct connection

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3
Q

How can functional connectivity maps be used to infer potential causes of disease (e.g. Alzheimer’s)?

A

Can compare functional connectivity map to gene expression map.

For example: link between Alzheimer’s disease development and immune activation in brain
* Is it cause or correlation?

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4
Q

What are the main ways that connectivity maps could be used in diagnosis and treatment of brain disorders?

A
  1. Diagnosis: e.g. particular patterns of activity/structural differences. Good for autism
  2. To predict who might respond to a partiuclar treatment based on part of the network which is dysfunctional or matching activity to gene expression maps.
  3. Tracing disease progression e.g. Alzheimer’s: predict which areas will be damaged next or do retrospecitive analysis to examine root causes
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5
Q

What fundementally limits the use of connectomics in understanding of psychiatric disease? (3 overarching points)

A

Variability between individuals:
* Comparison between control and case groups requires ignoring heterogeneity

Experimental design
* Disconnect between those used in research and frontline reality (e.g. many university students used in research but minority of cases)
* Mostly male studies
* Some groups cannot be measured e.g. severely autistic people cannot remain still in a scanner…

Tools available to get data:
* Resolution
* Capacity
* Noise and artifact removal

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6
Q

How could you selectively manipulate the connection between two brain regions using optogenetics?

A
  • Inject Cre-recombinase carrying virus into one region (e.g. anterograde tracer)
  • Inject cre-dependent optogene into other region (e.g. with retrograde tracer)
  • Only neurons receiving projections from one to other will express optogene but others in the exposed area will not.
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7
Q

What are the main limitations to Ca2+ imaging? (Provide study name)

A
  1. Reporting molecule can change spiking pattern by opening K+ channels or chelating Ca2+ (Mckiernan et al 2013)
  2. Ca2+ is a proxy to voltage (i.e. highly correlated) not a direct measure
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8
Q

What does the AX-CPT test for? How can it be translated for mice?

A

Test for attention:
* Series of letters shown, only signal if X preceeded by A.
* False alarm rates (BX or AY) measured showing a lack of attention. Misses also suggest lack of attention.
* Measure how it changes over repeats

Translated to 5C-CPT task in rodents
* 5 target apertures (lights) presented
* Rodents are trained to nose-poke an illuminated aperture
* But must not poe when the other apertures are also illuminated
* A miss is no nose-poke despite one illuminated aperture (or incorrect selection) a false alarm is a nose-poke when all 5 lights are illuminated

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9
Q

What rewards can be used (i..e how can a response be induced)? DOes this change across species?

A

Primary reward:
* Associating a stimulus with a reward (i.e. Pavlovian conditioning) such as food or sex
* In animals

Secondary reward:
* Money, praise
* Humans

Problem: primary and secondary rewards shown to activate different brain areas (so are animal experiments really valid?)

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10
Q

What functions do all behavioural tests require to some degree? Why is this a problem?

A

Perception, action and attention.

Problem is testing another function when these are deficient - can skew results.

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11
Q

How can response to reward be measured?

A

Measuring unconditional responses:
* Salivating before food
* Rearing behaviour in rodents
* Measuring dopamine release

Measuring expectation of reward:
* Orienting towards associated stimulus (CS)
* Moving towards US (e.g. sight of food)

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12
Q

What role does the amygdala have in response to reward? How was this discovered?

A

Experiments in rodents to food reward.

CeN: controls attention to CS of reward:
* Rodents with CeN lesion no longer orient towards light cue

BLA: necessary for stimulus-reward association learning.
* BLA lesions prevent adjusting response after devaluation (food replaced by LiCl).

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13
Q

Which brain regions are involved in flexibility? Which tasks target them?

A

Rule shifting: vlPFC
* WCSA
* Attentional set-shifting tasks (e.g. shapes with lines overlaid, first trained to select particular line than ignore lines and choose particular shape)

Reversal learning: (l)OFC
* Reverse the association between a stimulus and the reward/punishment

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14
Q

What are the different ways to measure anxiety (categories - give example of each)?

A

Physiological measures:
* BP, HR, GSR
* Brain activity

Behavioural response:
* Innate e.g. freezing in rodents, blinking in humans
* Adaptive: moving to edges in OFT, egg-calling in marmosets
* Need to be made quantifiable (e.g. reaction time, time spent, startle magnitude).

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15
Q

Lay out the key points for an essay on whether new technology has fundementally changed neural circuit analysis.

A
  • What is neural circuit analysis? - Understanding of structure, function and effects of neural circuits and their components through experimentation
  • Relies on correlational and causal investigation requiring ability to observe and manipulate neural circuits
  • New technology has increased the precision of investigation - allowing increased resolution of measurement at higher capacity.

HOWEVER: All these tools are still subject to same caveats:
* That the act of observing does not change the function of the system
* That the variable used t oobserve represents what is being measured (accuracy of proxy)
* That the act of manipulation only changes the variable targeted.

Therefore there has been a shift in the practicalities of analysis but not the fundemental principles.

Will look at this through analysis of observation tools, manipulation tools and the use of computation.

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16
Q

Lay out the key points for an essay on the merit of using different animal species in the study of neural circuits.

A
  • Why do we study neural circuits? - Better understanding to model for use in prediction (of human function)
  • Understanding requires correlation and causation experimentation
  • Causation study requires manipulation which is very limited in humans
  • Animals provide good model - similarities in neurobiology with more ability to manipulate and observe (higher resolution). True in different animals to different extent (often a trade off)
  • Problem: animals are not hte same as humans. Therefore experimental methodoogy is different
  • When results are different from humans is this due to a fundemental difference in neurobiology (reducing translatability to humans) or from the difference in experimental set up?
  • Will explore these problems looking at commonly used animal models - drosophila, rodents and non-human primates.
17
Q

How can you measure the amount of glutamate release

A

SuperGluSnFR – fluoresces when glutamate bound.

Observed using microscopy.

18
Q

What is the problem with CNO for chemogenetics? How has this been tackled?

A

CNO can be reverse metabolised into clozapine (‘reliable phenomenon - Manvich et al)
* Clozapine interacts with DA/5-HT

Improvement:
* Desochloroclozapine (DCZ) has much lower reverse metabolism.
* 1000x lower dose required for same manipulation capacity

19
Q

What are 4 main uses of organoids for understanding neurobiology (general)?

A
  1. Brain formation/development investigation
  2. Evolutionary differences
  3. Development of diseaes
  4. Investigating importance of variability
20
Q

What are chimeroids? Why are they useful?

A

Brain organoids made up of multiple different cell types (one system or different individuals).

Useful for:
* Testing different cell types in the same condition
* Testing effect of variability (e.g. cells from different patient of the same tumours)

21
Q

What are ALI-COs? Why are they useful?

A

Air-liquid interface-culture organoid

Benefits:
* Extended life of culture (as exposed to nutrients and oxygen (reduces necrosis)
* Extends longevity of studies (important for developmental or progressive disease modelling)
* More robust and sustained neural activity seen (e.g. more mature dendritic morphology)

22
Q

What are some general pros and cons of organoid models?

A

Pros:
* Use of human cells (relevant)
* 3D rather than 2D cultures allows more representative structure
* High reproducibility/throughput
* Easy to GE/record from/profile

Cons:
* Artificial environment - high cellular stress, hypoxia
* Severely limited interaction with surrounding tissue (e.g. no ephaptic communication, immune interaction)
* Limited longevity (e.g. for study of mature structures)

23
Q

What is the TRAP system? How does it work?

A

Targeted recombination in active populations (TRAP):
* Cells express a cre-recombinase promotor with opsin/fluorescence reporter
* But recombination of cre is dependent on tamoxifen (an oestrogen receptor drug)
* Administration of tamoxifen can be tightly temporally controlled
* Only cells active in that window are labelled.

24
Q

What is the Tet-OFF system? Why is it useful?

A

Tetracycline indicible conditional expression system (Tet-OFF):
* Transgene (carrying ChR2-EYFP) is only expressed when there is no administered doxycycline
* Removing doxycycline for the training window means only those active during training (involved in learning) express opsin.
* These cells can then be selectively manipulated (optogeneic activation)

E.g. Kim et al 2018 looking at memory engram (memory storing) cells