Anderson Emotion Flashcards
What did early work in flies by Martin Heisenberg provided evidence of?
Early work in flies by Martin Heisenberg provided evidence that
the neurotransmitter dopamine (DA) was involved in aversive conditioning, while octopamine (the insect equivalent of the neurotransmitter norepinephrine found in vertebrate animals) was involved in reward
learning. By contrast, in mammalian studies, DA was thought to be
involved exclusively in reward learning. This finding was interpreted
by some to mean that the DA neurotransmitter system might encode
opposite valences, in vertebrates versus invertebrates. More recent
studies, however, have shown that DA neurons control both appetitive
and aversive conditioning in flies (although octopamine is also involved
in the former). This is possible because genetically and anatomically
distinct subpopulations of DA neurons are required for the two different
forms of learning.
What does the fly DA (dopamine) system teach us?
First, and most important, the emotional
valence of a given US is not encoded merely by the identity of a particular neurotransmitter; DA does not intrinsically encode reward or
pleasure, as commonly believed. Rather, the intrinsic valence of a given
US (shock or sucrose) is determined by which DA neurons it activates,
and whether these DA neurons influence synapses with neurons that
mediate approach or avoidance (Aso et al. 2014); this connectivity is
likely genetically specified and emerges during development as the brain
is wired together. That is, it is not the identity of a chemical in the brain
(for example, dopamine), but the connectivity of the neurons that release
that chemical, which determines behavior. It is, ultimately, the function of
neural circuits that specify what is being contributed to an emotion state.
2) Second, in contrast to a prevailing view, DA does not act as a “sprinkler system” in the brain, acting via so-called volume transmission that
simply douses a swath of neurons in a diffuse manner. Rather, it acts
in a highly spatially compartmentalized manner at specific synapses,
which are determined by the genetic identity and wiring of a particular
class of DA neurons—a mechanism of action more often associated with
classical neurotransmitters such as glutamate, than with neuromodulators like dopamine.
3)Third, the brain’s ability to associate a given odor (CS) with a US of
either a positive or negative valence depends upon (a) the sparse representation of the odor by Kenyon cells (that is, the activity of a relatively
small number of highly odor-specific neurons), and (b) the innervation
by a given CS-responsive Kenyon cell of multiple compartments, where
they make synapses with mushroom body output neurons (MBONs)
that promote either approach or avoidance, in a compartment-specific
manner (figure 7.1, γ2, γ3, γ4, γ5). As shown by elegant work from
Vanessa Ruta and colleagues, these Kenyon cell–MBON synapses can
be either selectively strengthened or weakened, according to which DA
neurons are activated by the US and in which compartment(s) the DA
is released (figure 7.1, A2 versus B2). Interestingly, evidence in mice
indicates that different subpopulations of DA neurons within the ventral tegmental area, traditionally implicated exclusively in reward, can
control either reward or punishment (but not both) (Lammel et al.
2012). So, one general principle that emerges from Drosophila is that
molecules (such as DA) do not encode valence; rather, it is neuronal
connectivity that determines whether a particular stimulus is rewarding
or punishing.
Why does the adaptive function of associating valence to a previously neutral stimulus required hardwired brain at least to some degree?
However, in order for such a system to function, the brain has to be “hardwired,” at least to some degree, with innate representations of positive
and negative valence—in this case the different classes of DA neurons that mediate reward versus punishment—which can then be linked to
stimuli whose valence must be learned by experience (Aso et al. 2014).
Without some such innate basis, there would be nothing to ground
valence, nothing upon which learned associations could build. Those innate representations of valence, in turn, would not have been selected in
evolution if they did not afford the species a survival advantage. Natural
selection acted to link sensory circuits that detect specific, ecologically
relevant stimuli, to motor circuits that trigger appropriate responses
(approach or avoidance) through the activation of such valence representations. Whether those same valence systems are involved in learned
avoidance or approach remains to be investigated.
What are, according to Anderson the building block of an emotion state?
1) Scalability
2) Valence
3) Persistance
4) Generalization
5) Global coordination
6) Automaticity
7) Social communication
Describe scalability as a building block of emotional state:
An emotion state can scale in intensity. Importantly, parametric scaling
can result in discontinuous behaviors, such as the transition from hiding to fleeing
during the approach of a predator (cf. Box 2.3). Intensity is often conceptualized as
arousal, although these two are not the same thing.
Describe valence as a building block of emotional stat:
Valence is thought by many psychological theories to be a necessary
feature of emotion experience (or “affect”). It corresponds to the psychological
dimension of pleasantness/unpleasantness, or the stimulus-response dimension
of appetitive vs. aversive. (But, again, these two are not the same thing.)
Desribe persistence as a building block of emotional state:
An emotion state outlasts its eliciting stimulus, unlike reflexes, and so
can integrate information over time, and can influence cognition and behavior for
some time. Different emotions have different persistence. Emotions typically persist
for seconds to minutes.
Describe generalization as a building block of emotion state:
Emotions can generalize over stimuli and behavior, much of which
depends on learning. This creates something like a “fan-in”/“fan-out” architecture:
many different stimuli link to one emotion state, which in turn causes many different
behaviors, depending on context. Persistence and generalization underlie the
flexibility of emotion states.
Describe global coordination as a building block of emotion states:
Related to the property of generalization is the broader feature
that emotion states orchestrate a very dense causal web of effects in the body and
the brain: they engage the whole organism. In this respect, they are once again
differentiated from reflexes.
Describe automaticity as a building block of emotions:
Emotions have greater priority over behavioral control than does
volitional deliberation, and it requires effort to regulate them (a property that appears
disproportionate, or even unique, in humans.)
Describe social communication as a building block of emotional states:
In good part as a consequence of their priority over
behavioral control, emotion states are pre-adapted to serve as social communicative
signals. They can function as honest signals that predict another animal’s behavior,
a property taken advantage of not only by conspecifics, but also predators and prey.
What do experiments showing the looming passing stimulus over flies show about internal states?
Strikingly, flies became progressively more “agitated” (active), measured as an increase in their locomotor activity, as the number of exposures to the threatening visual stimulus (that is, paddle sweeps) was
increased. Moreover, the nature of the behavioral response changed
qualitatively with the number of stimulus exposures: a few passes of
the overhead shadow caused the flies to freeze or increase their walking
speed, but with further successive exposures the flies switched to hopping. Furthermore, after the last of a series of stimuli were delivered,
the flies’ response persisted for tens of seconds to minutes; the insects
continued to hop and walk at high velocity, and then gradually “calmed
down” over a period of many tens of seconds. These observations provide evidence of scalability and persistence in the flies’ response to the
threat stimulus.
Explain what is a leaky neural integrator:
An analogy is to a leaky bucket
that is periodically partially filled with water from some intermittent
source; if the amount of water added each time, and/or the frequency of
fills, exceed the leak rate, then the bucket will gradually fill even though
it is leaky (figure 7.2B). Once the filling has stopped, the bucket will
slowly drain. A mathematical model based on this concept produces
similar scalability and persistence as observed in living flies exposed to
repetitive visual threats (figure 7.2C). It is similar to the drift-diffusion
models of decision-making that we introduced in chapter 3 (figure 3.4).
What are the differences and similarity between the mammalian and the fly brain:
What do we know about the neural circuitry that underlies the behavioral responses of the flies under these conditions? Do flies have the
equivalent of an amygdala or a hypothalamus in their tiny brain that
integrates the influences of diverse types of aversive stimuli? We do not
yet know. The fly brain (with some notable exceptions) is organized
very differently from the mammalian brain, and generally does not have
central structures that correspond directly with (that is, are homologous
to, in the evolutionary sense) those in our brains. Nevertheless, there
are analogous areas; for example, the mushroom body may be analogous to the hippocampus and/or olfactory cortex, the antennal lobe is
similar to the mammalian olfactory bulb, and the retinae of flies and
mammals display remarkable organizational similarities even though
they evolved independently. Furthermore, the fly brain is made up of
neurons that are, from the molecular standpoint, very similar to those in
our brain. So, while the fly brain may not look superficially like a mammalian brain, it has analogous functional areas, uses the same chemicals
(dopamine, serotonin, acetylcholine, GABA), and its neurons are made
of the same molecules as mammalian neurons. Therefore, the question
is not “does the fly have an amygdala?” The question is whether there
is a common circuit node that processes defensive responses to many
different kinds of threatening stimuli, or whether each type of stimulus
activates its own “private” response pathway
What is the pathway that Drosophila has to excape from a looming visual stimulus:
Drosophila have a welldescribed circuit that mediates a rapid, reflexive jump away from a looming visual threat, consisting of a large “descending interneuron,” called the
“giant fiber,” that extends from the central brain to the thoracic ganglia
(the fly’s functional equivalent of the spinal cord). Information travels quickly through electrical synapses (gap junctions) along this pathway
from the fly’s visual system to the motor neurons that activate the jump
muscles, allowing an escape response to occur within a few tens of milliseconds of detection of the threat (this is what makes flies so hard to
swat). As far as we know, this pathway is specific for threatening visual
stimuli and is not, for example, activated by aversive odors. However
there is now evidence of multiple circuits that mediate escape responses
to visual threats in flies (Reyn et al. 2014). Perhaps some of those circuits
also process escape responses to stimuli of different sensory modalities.
This question is likely to be answered in the near term. Another important
question for the future will be to understand how the circuits that mediate
reflexive defense responses are related to those mediating integrative,
emotion-like responses: are these independent, parallel pathways, or do
they reflect state-dependent modification of the same circuit?
Explain how long the optogenetic stimulation of P1 neurons in Drosophila can trigger in terms of aggression and courtship:
Importantly, optogenetic stimulation of P1 neurons can trigger a persistent internal state in solitary flies, which promotes aggression once
the fly encounters a conspecific male. This internal state can endure for
tens of minutes in the absence of social contact and may represent a
type of persistent memory of a mating encounter with a female, which
can trigger aggression when a competing male is encountered. These
data suggest that courtship and aggression in Drosophila are not simply
reflexes, but are associated with persistent, internal states
When and who established C. elegans as a model organism:
This
animal, which was introduced as a model organism by Nobel laureate
Sydney Brenner in the 1960s and ’70s, has the advantage that it is very
small (~1 mm long), transparent, has a short generation time (three days)
and only 302 neurons composing its entire nervous system. Moreover,
the complete “connectome” (neuronal wiring diagram) of the worm has
been determined by reconstruction of serial electron micrographs; it is
thus far the only adult organism for which a complete connectome has
been established.
What is contruct validity?
The ability of a set of measures to yield good evidence about a certain construct is called construct validity. It is a bundle of criteria.
What is face validity?
Plausibility of any specific measure to provide evidence for a particular construct. If I have a detailed questionnaire
about your feelings of fear and anxiety, this has a reasonable face
validity as a measure of fear. If I measure fMRI signal in your amygdala, this has questionable face validity as a measure of fear without
a lot more information. If I only measure your blood pressure, this
has poor face validity for fear (by itself, since we can easily think of
cases where blood pressure has no relation to fear).
Explain convergent validity:
If we want to have vonvincing evidence for fear, only measuring blood pressure or facial
expression is not a very reliable indicator. However, if we measure blood pressure change, heart rate change, ratings on a fear
questionnaire, facial expression, and f MRI signal, we might be
able to use all of these together to get quite convincing evidence
for fear. If these measures all turn out to be correlated during a
fear state, this would provide convergent validity; whatever they
are measuring, they seem to be measuring the same thing, and if
at least one of them has face validity for measuring fear, then so
do the others when taken together.
Describe descriminative validity:
On the other hand, we would
also want these measures to take different values for a different
emotion—the blood pressure, f MRI signal, heart rate, facial expression, and self-report should look different if the person is
feeling, say, happiness rather than fear. Many of these measures,
in isolation, may have very poor discriminative validity. For instance, the typical autonomic measures collected in the lab (heart
rate, skin conductance, etc.) do not clearly distinguish between
different emotions (cf. box 2.1), although there is active research
on whether they might provide discriminative validity if we look
at patterns across multiple measures.
Explain how the function of the prefrontal cortex related to emotions has been conceptualized as content-specific appraisal:
each of the different sectors have been associated with emotion appraisals of different sorts: appraisals of exteroceptive sensations, of memories and
imagined future events, of visceral interoceptive signals, and so forth
(see Dixon et al. 2017, for review). This is thought to be achieved by
the widespread connectivity of the prefrontal cortex; each of the
different sectors implements its emotion function by serving as a hub
for inputs from a network of other brain regions. For instance, ventral and anterior parts of the cingulate cortex are thought to be most
closely related to connections with visceral and autonomic components of emotion, whereas lateral prefrontal cortex is thought to be
most closely related to emotion regulation (see box 3.4). While still
quite preliminary, such a scheme will help us eventually to understand the very complex and indirect ways in which emotion states
can be induced and coordinated in humans.
Describe the insual both structurally and functionally:
The insula accounts for about 2 percent of our
cortex but cannot be seen at all from looking at a brain from the outside.
It is buried deep within the brain and consists of several distinct regions.
Its functions are still very much under investigation and range from processing of gustatory and visceral signals and pain to processing complex
social emotions (see Nieuwenhuys 2012, for review). The insula accounts for about 2 percent of our
cortex but cannot be seen at all from looking at a brain from the outside.
It is buried deep within the brain and consists of several distinct regions.
Its functions are still very much under investigation and range from processing of gustatory and visceral signals and pain to processing complex
social emotions (see Nieuwenhuys 2012, for review).
Sanford_Dickens (2012) Summary Gustatory receptor neuron responds to DEET
and other insect repellents in the yellow-fever mosquito,
Aedes aegypti:
- 3 gustatory receptorneurons were characterized for contact chemoreceptivesensilla on the labella.
- The neuron with the smallest amplitude spike responded to the feeding deterrent quinine as well as DEET.
- Two other neurons with different spikes responded to salt
- The GRN for quinine responded to the broad spectrum of insect repellents DEET, IR3535, picaridin and citronellal.
In Sanford_Dickens what electrophysiological responses were recorded from neurons housed within labellar sensilla?
Electrophysiological responses recorded from neurons
housed within labellar sensilla revealed action potentials
from three cells based on amplitude and shape of the spikes
(Fig. 1a–c). A large-amplitude spike responded to increasing
concentrations of sodium chloride, a second large-amplitude
spike with a different shape was reliably activated by sucrose (a feeding stimulant), and a small-amplitude spike was
activated by quinine (a feeding deterrent). Another feeding
deterrent, caffeine, and a feeding stimulant, ATP, did not
elicit neuronal activity at the concentration tested (1 mM)
(data not shown). Responses of the neuron activated by
sodium chloride may have been suppressed by solutions of
experimental chemicals. The small-amplitude spike activated by quinine responded
to the insect repellents DEET, picaridin, citronellal, and
IR3535.
Where is the location of uniporous hair sensilla that are gustatory on the mouthparts?
On the labella (paired lobes at the tip of the labium)
Explain the reflex opening response of the labella and the labrum in Cs. inornata (Culiseta inornata):
Whem chemosensilla on the outer surface of the labella of female Cs inornata were touched with sugar solution, the labella lobes parted, giving the solution access to the adoral surface of the labella and to the tip of the labrum. While 0.05-1M NaCl triggered the same behavior, higher concentration of salt tended to inhibit the response, the median inhibitory threshold being 0.28M.
What is the reaction time of the reflex opening response:
From stimulation of the aboral labellar hairs with sucrose solution contraction of the labellar extension muscles was approximately 40ms.
What do olfactory sensilla in mosquito comprise:
Multiporous hair and peg sensilla on the antennal flagella and multiporous peg sensilla on the maxillary palp.
Describe short blunt single-walled multiporous hair sensilla (A2):
-Sensitive the esther vapors of short-chain acids, including lactic and butanoic acids.
-Believed to be used to find oviposition sites
-More sensitive to methyl butanoate and other esters 48-72 h after a blood meal than they had been earlier.
-Short chain carboxylic acids tend to be inhibitory to the short hair sensilla of both sexes.
Describe short-pointed single-walled multiporous hair sensilla (A2):
- Stimulated by saturated C3 to C7 fatty acids.
Describe the response to carbon dioxide in single-walled multiporous peg sensilla:
Possibly, the large phasic responses serve to heighten awareness of sudden concentration changes.When the concentration changes was prolonged e.g. for 5 minutes, a brief phasic responses was followed for the duration of the stimulus by a tonic firing rate.
1) They have an apparent threshold of 0.015-0.03 which is similar to the normal concentration of CO2 in the air (0.02, 0.04).
2)They function like absolute CO2 detectors. They are not desensitized by continuous exposure to ambient concentrations of CO2, and their response is independent of the concentration to which they were previously exposed.
3) Their concentration-response function is steep.
4)They produce phasic changes in firing rate, which in sign and amplitude of the change in CO2 concentration.
5) They are responsive over the range of CO2 concentration expected in the host odour plume near a vertebrate host.