Eccentric medium spiny neuron (eMSN)

@Eddie, I think you may be at cross purpose with Utsikt. Utsikt is saying that what cells deep in the brain experience is not just based on what is currently coming in through primary sensory channels like peripheral nerves from muscles. It is based on complex inferences derived from signals over time. Even hearing a "G" sound depends on such complex inference.

Some have argued that it seems unlikely that fatigue sensation is based on similar complex inference on primary sensory inputs over hours. To me such an inferential system makes sense since fatigue seems to be our index of how to pace and schedule activity over extended times.
That makes sense. I guess my point was that what ultimately drives the experience must be the state of the deep brain cells when the send the signal to the part that does the experiencing. All the prior steps are useful to know, but those thoughts are also signals being sent by other cells now.
 
predicting how tired you'll be at the nth hour of a conference / how tiring it would be to carry something across edinburgh at different stages. Forming memories, associations, learning etc is something humans are so so good at in a way that my dog is able to do to a much more limited extent - and Audrey and I insist our dog is very intelligent.
What I am unsure about is why predicting is relevant. I can predict I will be tired if I do certain things, but that prediction doesn't produce the fatigue. There might be brain cells that collect information over time, but they aren't really predicting fatigue, just responding when enough sensory inputs have occurred.
 
I’d go along with what I think @Eddie and @chillier have said. We don’t need a system like this. Okay, maybe @Jonathan Edwards is right and one exists. But equally the body simply responding to the signals it receives may be plenty without a higher level accounting system.

Its an interesting discussion but I also wonder if the difference matters. I (currently) have a feeling that it’s aberrant inputs or smoothing/management of those that are the problem not the totting up of those inputs. The prolactin response and eMSN/TIDA neuron connection seems to indicate that could be the case. And the way in which so many of us have outsized reposes to different inputs too (physical, mental or emotional activity but also changes in position or noise, light and sound, or infection or even food).
 
What I am unsure about is why predicting is relevant. I can predict I will be tired if I do certain things, but that prediction doesn't produce the fatigue. There might be brain cells that collect information over time, but they aren't really predicting fatigue, just responding when enough sensory inputs have occurred.

I think the model Jo is proposing it *would* generate the fatigue once you start doing the activity again, maybe prophylactically to protect you. Then maybe in ME the predictions are way off and when you start making a cup of tea it erroneously generates massive amounts of fatigue when there is no need. Maybe I've got this wrong do correct me if so.

But this would require a 'fatigue totter-upper over time and future prediction engine' somewhere in the brain which I an unconvinced of the existence of. The type of prediction you're talking about I think is what I think is more likely which is a rationalisation of how you think you'll feel based on past experiences.
 
What I am not sure about is the effort preference idea. I don't see how a disruption of the accounting/discounting system is a 'preference'.
Coming back to this.

No-one else really uses the term effort preference. They use effort sensitivity.

Madian defines effort preference as "the inter-individual variability" in effort discounting, and specifies that much of that is normal, with his example of one person going "Sure! I'll do push-ups for 20 bucks." and another person going "No thanks mate. Not worth it." [my paraphrasing of Madian's example]

They're saying that if effort discounting is "disrupted" or "damaged" by a medical condition, then that person's effort preference changes "radically".

I think of what they're proposing is people's effort preference changing such that their brains either weigh the rewards lower (as in Parkinson's. fronto-temporal dementia, lots of psychiatric illnesses) or perhaps in our case, weigh the punishments higher.

Or the energy costs. Am not clear on what exactly the energy costs and punishments refer to, now that I think about it. PEM certainly feels like punishment. There's also immediate punishment, sometimes. But when normal people are weighing up the "energy costs", they're calculating "If I do this, will I be able to do that", which sounds like what our brains are doing too.

Looks like Madian is doing a study looking at the immediate effects of exertion Functional Neuroimaging to Detect the Neural Signatures of the Unpleasantness of Pain and Effort
Some of these conditions may also cause heightened responses to effort; this is an unpleasant sensation felt during physical and mental exertion. [my bolding]

These references are provided:
 
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It kind of seems like a specifically human ability to be able to do this

I suspect not. Even a runner bean plant is capable of integrating over time and space to set up optimal patterns f movement, as shown by Paco Calvo's videos. The tip of the stem will circle round in space until it senses a support - possibly even by its shadow rather than touch. It may then move to a diametrically opposite position and 'fling' itself back across to precisely where the support is, repeatedly, until it can catch hold. The only explanation for this I can think of is that it optimises the energy and structure costs of movement in terms of radius of curvature required.

Similarly, many mammals and birds show long term accounting behaviours. Jays and squirrels can hide hundreds of nuts and know which ones are most likely to be ready to eat and where they are at any time over a period of months. A puffin collecting fish for chicks almost certainly benefits from the same sort of accounting of time available, tides, distances, and so on. We tend not to think of these strategic issues for animals but they must be crucial fr survival.

What is different about humans is flexible language. The linguists have suggested that an important part of the language faculty is absence of hard-wired routines like the innate routine of the cuckoo call. I think we underestimate the 'intelligence' of dogs and other pets because they have to operate in an environment that does not suit their hard-wiring very well.

There are clearly some situations where use of activity accounting is much better in humans, like the invention of the bicycle, but I see activity accounting as likely to be very well developed in most vertebrates.
 
That makes sense. I guess my point was that what ultimately drives the experience must be the state of the deep brain cells when the send the signal to the part that does the experiencing. All the prior steps are useful to know, but those thoughts are also signals being sent by other cells now.
All cells do experiencing.

But this is also not completely the same as what I’m talking about. I’m saying that the cells that «experience» fatigue might also have changed due to previous input, affecting how future input is «interpreted», i.e. the output from the input.

In other words, brain cells are not static.
 
I don't see how a disruption of the accounting/discounting system is a 'preference'.
And coming back to this again, I agree. You explained preference to me years ago in terms of birds' eating habits. If a bird that prefers a particular seed develops a disease, and that disease makes the bird sick if it eats that seed, so the bird minimises its intake of that seed and favours other foods, is that bird really subconsciously preferring to avoid that seed?

For me, the preference for activity is very much still there, and has to be consciously overridden all day every day, like @chillier described above:
Most of the time what is stopping me from exerting myself is not the feeling of fatigue but the knowledge of the consequences and suffering if I do.
 
Some have argued that it seems unlikely that fatigue sensation is based on similar complex inference on primary sensory inputs over hours. To me such an inferential system makes sense since fatigue seems to be our index of how to pace and schedule activity over extended times.

The problem is that it is largely falsified already -the sense disappears when the signal is blocked, and the brain does not demonstrate an overriding system. The current evidence is the brain senses peripheral fatigue and modulates motor cortex excitability accordingly (and this seems to happen more for larger limbs like the legs than say, our fingers - the brain does recognise different energetic demands based on where the limb is sensed), and sense of effort is upstream from this - so if the overall motor pathway excitability decreases, sense of effort will necessarily increase which is what we see in people suffering fatiguing disorders, including peripheral neuropathies, muscular dystrophies etc - the primary effect in all is "central fatigue", that can be blocked with a rapid response if the sensory afferents are blocked.
 
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@Snow Leopard Interesting, thank you - do we have a picture for cognitive fatigue? eg a hard days work sitting writing grants reading papers and doing meetings. Motor pathway excitability reduction is probably not instrumental in producing fatigue here right? Must be excitability changes of many other brain pathways involving interpreting sights and sounds, fetching memories and integration into ideas.
 
If the fatigue in mecfs is coming from a misread of the muscle status in the periphery, the obvious question is: are the neurons responsible the sensory afferents or the neurons that process the information from the sensory neurons in the brain (I might hypothesize it's the brain - given the topic of this thread and also that ME fatigue also comes from cognitive exertion).

We could work that out if we had a way of measuring the firing rates of sensory neurons (maybe checked against EMG results in a muscle usage assay) but does such a technique exist? A while ago there was a thread about using microneurography to measure firing rates in I think long covid in something like autonomic neurons. I have no idea about this limitations of these techniques but I'm curious if it's possible.
 
Hi @Snow Leopard. I couldn't quote your post, which seems corrupted.

But there are all sorts of situations where the brain overrides. I think you must be referring to experiments deliberately designed to study one leg of a very complex system. The brain overrides at 4.00 in the morning, when you have flu, when a driver nods off after beer for lunch, in cataplexy, in boredom and fear etc. All of these are different levels and slants on what is a hugely complex control system.

We have agreed that 'fatigue' is not a very good name for ME/CFS symptoms anyway. If we are focusing on central mechanisms that does not necessarily translate to research on 'central fatigue' as traditionally sconceived.
 
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