Håkan Olausson

This study identifies fast-conducting mechano-nociceptors as essential for mechanical nocifensive behaviors and sensitization in mice and humans.

This study identifies spinal oxytocin circuits as a conserved mechanism through which affiliative touch reduces pain and enhances well-being in mice and humans.

The paper shows that TRPV1+ afferents rapidly reprogram TRPV1- Aβ afferents, leading to hyperalgesia in humans.

The paper maps nociceptive signaling architecture by combining activity labeling with single-cell RNA sequencing, revealing a hierarchical organization of mechano-nociceptor populations based on tissue domain and organ context.

This paper constructs a human dorsal root ganglion reference atlas, identifying 22 neuronal subtypes and 10 non-neuronal cell types, and reveals functional differences between human and mouse DRG neurons.

The paper identifies a fast nociceptive pathway that mediates rapid reflexive behavior but not affective pain.

This study investigates the neural basis of touch pleasantness by comparing two motion conditions and finds that velocity tuning of pleasantness is not solely dependent on peripheral C-LTMRs.

This study develops a method to sequence individual human DRG neuron somas, identifies 16 neuronal types, and reveals human-specific nociceptor types and potential drug targets.

This study investigates the effect of blocking Aβ fibers on pain perception and nociceptive withdrawal reflexes in humans, finding that Aβ fibers may contribute to pain and reflex signaling.

The paper shows that SA-II and HFA afferents can distinguish social touch inputs with high accuracy using 3-4 seconds of firing data, outperforming other afferent types.

The paper compares mechanical pain discrimination between the hand and foot, finding the foot performs better, which cannot be explained by peripheral nociceptor activity.

The paper identifies PIEZO2-dependent mechanical pain in humans and mice, showing hair-pull pain is mediated by Aβ inputs and specific nociceptors.

This paper develops CNN encoders for parametric t-SNE to analyze EEG data, producing low-dimensional representations that capture EEG characteristics and generalize to new data.

The paper investigates short-latency nociceptive withdrawal reflex responses in humans and finds they are as painful as conventional latency responses, suggesting they may be mediated by ultrafast nociceptors.

The paper investigates the distribution and physiological properties of C-tactile afferents in human arm and leg nerves, finding they are more sparse in the lower leg and insensitive to menthol and histamine.

This paper uses convolutional neural networks to upsample or restore EEG channels, showing better performance than interpolation methods.