The studies in this thesis explored how pain and its relief are represented in the human brain. Pain and relief are important survival signals that motivate escape from danger and search for safety, however, they are often evaluated by subjective descriptions only. Studying how humans learn and adapt to pain and relief allows objective investigation of the information processing and neural circuitry underlying these internal experiences. My research set out to use computational learning models to provide mechanistic explanations for the behavioural and functional neuroimaging data collected in pain/relief learning experiments with independent groups of healthy human participants. With a Pavlovian acute pain conditioning task in Experiment 1, I found that 'associability' (a form of uncertainty signal) had a crucial role in controlling the learning rates of different conditioned responses, and can be used to anatomically dissociate underlying neural systems. Experiment 2 focused on relief learning of terminating a tonic pain stimulus, in which the priority for relief-seeking is in conflict with the general suppression of cognition and attention. I showed that associability during active learning not only controls the relief learning rate, but also correlates with endogenously modulated (reduced) ongoing pain. This finding was confirmed in Experiment 3 using an independent active relief learning paradigm in a complex dynamic environment. Critically, both experiments showed that associability was correlated with responses in the pregenual anterior cingulate cortex (pgACC), a brain region previously implicated in aspects of endogenous pain control related to attention and controllability. This provided a potential computational account of an information-sensitive endogenous analgesic mechanism. In Experiment 4, I explored the implications of endogenous controllability for technology-based pain therapeutics. I designed an adaptive closed-loop system that learned to control pain stimulation using decoded real-time pain representations from the brain. Subjects were shown to actively enhance the discriminability of pain only in the pgACC, and uncertainty during learning again correlated with endogenously modulated pain and were associated with pgACC responses. Together, these studies (i) show the importance of uncertainty in controlling learning during both acute and tonic pain, (ii) describe how uncertainty also flexibly modulates pain to maximise the impact of learning, (iii) illustrate a central role for the pgACC in this process, and (iv) reveal the implications for future technology-based therapeutic systems.

Att utvärdera samband mellan subjektivt skattad smärta och transmittorsubstanser med magnetresonansspektroskopi Bakgrund: Smärta är en komplex upplevelse, som involverar olika delar av hjärnan. Regionen anterior cingulate cortex (ACC) är kopplad till upplevelsen av smärta och delas in i ett flertal mindre regioner, till exempel den pregenuala regionen (pgACC) och dorsala regionen (dACC). För att studera olika metaboliter och transmittorsubstanser kan magnetresonansspektroskopi (MRS) användas. MRS och sekvensen MEGA-PRESS kan mäta specifika transmittorsubstanser såsom Gamma-AminoButyric Acid (GABA) och glutamin-glutamat (Glx).  Motiv: Det finns kunskapsluckor kring hur individens subjektiva smärtupplevelse i relation till transmittorsubstanser objektivt kan mätas och utvärderas.  Syfte: Att med MRS och MEGA-PRESS undersöka GABA+ och Glx-nivåer i hjärnområdena pgACC och dACC samt undersöka samband mellan smärtkänslighet och GABA+ och Glx i pgACC och dACC.  Metod: En kvantitativ, experimentell pilotstudie genomfördes med tio friska deltagare. Initialt skannades deltagarna i MRT och smärtstimulerades, sedan skattade de den upplevda smärtan med hjälp av Numeric Rating Scale. MRS och tekniken MEGA-PRESS användes för att mäta transmittorsubstansnivåerna.   Resultat: Studien visade att det fanns en statistiskt signifikant negativ korrelation mellan skattad smärtintensitet och uppmätta nivåer av GABA+ i pgACC (Spearman´s rho = -0,67; p = 0,04). Det fanns även ett statistiskt signifikant positivt samband mellan skattad smärtintensitet och uppmätta nivåer av Glx i dACC (Spearman´s rho =0,73; p=0,02). Vidare fanns signifikant skillnad i Glx mellan pgACC och dACC och en icke signifikant skillnad i GABA+.  Konklusion: Sammanfattningsvis visar resultatet att MRS och MEGA-PRESS kan kvantifiera transmittorsubstanser vid utvärdering av smärtkänslighet och att det finns en positiv korrelation mellan Glx och skattad smärtintensitet, samt en negativ korrelation mellan GABA+ och skattad smärtintensitet. Detta kan ge fördjupad insikt i individens smärtupplevelse och kan främja den individuella behandlingen. Genom att ta hänsyn till sambandet mellan smärta och transmittorsubstanser kan det bidra till ökad förståelse kring individens smärtupplevelse. / To evaluate the relation between subjectively estimated pain and neurotransmitters using magnetic resonance spectroscopy  Background: Pain is a complex experience that involves different parts of the brain. The region anterior cingulate cortex (ACC) is connected to the experience of pain and can be divided into several smaller areas, such as the pregenual region (pgACC) and the dorsal region (dACC). To study different metabolites and neurotransmitters, magnetic resonance spectroscopy (MRS) can be used. MRS and the sequence (MEGA-PRESS) can measure specific neurotransmitters such as Gamma-AminoButyric Acid (GABA) and glutamin-glutamate (Glx).  Motive: There are knowledge gaps about how the individual's subjective pain experience in relation to neurotransmitters can be objectively measured and evaluated.  Aim: Using MRS and MEGA-PRESS to examine levels of GABA+ and Glx in the brain regions pgACC and dACC and to examine the relationship between pain sensitivity and GABA+ and Glx in pgACC and dACC.  Methods: A quantitative, experimental pilot study was conducted which included ten healthy participants. The participants were initially scanned in the MRI and subjected to pain-stimulation, thereafter the participants rated the perceived pain using Numeric Rating Scale. MRS and the sequence MEGA-PRESS were used to quantify the neurotransmitters of interest.  Result: There was a significant, negative correlation between rated pain intensity and measured GABA+ levels in pgACC (Spearman´s rho = -0,67; p = 0,04). There was also a significant, positive correlation between rated pain intensity and measured levels of Glx in dACC (Spearman´s rho =0,73; p=0,02). Furthermore, there was a significant difference in Glx between pgACC and dACC as well as a non-significant difference in GABA+ between regions.  Conclusion: In summary, the result shows that MRS and MEGA-PRESS can quantify neurotransmitters when evaluating pain sensitivity and that there is a positive correlation between Glx and estimated pain intensity, and also a negative correlation between GABA+ and estimated pain intensity. This can provide a deeper insight into the individual’s pain experience and promote individual treatment. Further research regarding the meaning of the different brain regions when measuring neurotransmitters is recommended.