Christian Büchel

This study develops a human analog of the hot plate test to measure pain sensitivity through withdrawal latency and vigor, finding that latency correlates with inter-individual pain sensitivity differences.

The paper develops deep learning models to detect pain decreases using physiological signals during fluctuating noxious heat stimulation, achieving 0.854 AUROC and 5.75s latency.

The paper shows that pursuing motivational goals reduces perceived pain through endogenous opioid mechanisms, as evidenced by neural and behavioral effects modulated by naloxone.

The paper reanalyzes BOLD and metabolic data, finding that apparent discordance between BOLD signals and metabolic estimates is due to statistical uncertainty rather than physiological reversal.

This study uses fMRI to show that conditioned pain modulation involves reduced spinal activity and increased descending pain modulation during pain suppression in humans.

This paper evaluates the replicability of diffusion-weighted MRI-based brain-behavior models and finds moderate replicability with small sample sizes, but higher replicability for trait-like phenotypes.

This study investigates exercise-induced pain modulation in high-fit females, finding that fitness level, not sex, moderates pain relief from high-intensity exercise.

This study finds that acute aerobic exercise intensity does not significantly affect pain relief in a mixed population, but individual factors like fitness and sex may influence exercise-induced hypoalgesia.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This study shows body size parameters significantly correlate with brain and spinal cord MRI metrics and should be included in neuroimaging studies.

The paper shows brainstem arousal systems and pupil size correlate with cortical interactions during flexible decision-making.

The paper shows placebo treatment improves mood and reduces distractibility by fearful faces when attentional resources are available, linked to top-down regulation of aversive inputs.

The paper investigates neural correlates of conditioned pain modulation (CPM) using fMRI and finds reduced activation in parietal operculum and posterior insula associated with CPM.

The paper proposes a Bayesian model linking stimulus generalization and representation learning through dimensionality reduction, supported by experimental findings.

This paper re-analyzes fMRI data to show that accounting for interindividual variance improves the prediction of individual pain ratings from BOLD measures.

The paper investigates pain treatment using the active inference model, finding that self-treatment and high expectations lead to greater pain relief, supported by EEG and computational modeling.

This study shows that brain-wide correlated variability between sensory and motor regions reflects participants' beliefs about active task rules during sensory-motor mapping tasks.

This study examines how opioid treatment affects cortico-spinal coupling in the pain system, showing stronger coupling in those with greater analgesia compared to saline control.

The paper investigates how the human insula represents prediction errors during pain learning, finding that unsigned PEs are modality-unspecific while signed PEs are modality-specific.

The paper investigates how alpha-to-beta and gamma-band EEG activity relate to expectations and prediction errors during affective visual processing of negative stimuli.

The paper shows that single aversive experiences influence decision making and that hippocampal reactivation of pain-related patterns is linked to better memory performance.

The paper investigates neural representations of predictions and prediction errors in heat and pain processing using electroencephalography, finding distinct temporal and spectral patterns compared to other modalities.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper re-analyzes six temporal discounting datasets using hierarchical Bayesian methods, finding consistent reductions in discounting with medium effect sizes from episodic future thinking.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study examines the relationship between sleep patterns and grey matter volumes in adolescents, finding that later weekend wake-up times are linked to reduced grey matter in specific brain regions and increased psychological symptoms.

The paper identifies the posterior parietal operculum as a region preferentially activated by heat pain over salient non-painful stimuli using fMRI and behavioral measures.

This study uses fMRI to show that the OFC-VPFC represents predictive information about upcoming states up to 30 seconds in the future during goal-directed learning.

This study uses combined facial EMG-fMRI to show that the human startle reflex is modulated by valence-specific neural pathways involving the amygdala and brainstem.