Helena Backlund Wasling, PhD, lic. PhT, Researcher
Tel.: +46 31-786 3502
Dan-Mikael Ellingsen, Graduate student
Tel.: +46 31-342 7903
Jaquette Liljencrantz, MD, Graduate student
Tel.: +46 31-786 3588
Håkan Olausson, MD PhD, V Prof
Tel.: +46 31-342 2289
Ulf Norrsell, MD PhD, Prof em
Tel.: +46 31-786 3503
Åke Vallbo, MD PhD, Prof em
Tel.: +46 31-786 3501
Line Löken, PhD, Post doc, Oxford Centre for Functional MRI, University of Oxford, UK
Malin Björnsdotter Åberg, MSc PhD, Post doc, Dept. of Neuroscience, Karolinska Institute, Stockholm
Linda Lundblad, PhD, Post doc, Dept. of Clinical Neurophysiology, Sahlgrenska University Hospital, Göteborg, Sweden
Tel.: +46 31-342 7903
Our research is focused on the human sense of touch, from the signalling of receptors in the skin to brain mechanisms for processing of tactile information. We record the activity of single, identified nerve fibres from tactile receptors using microneurography, where a thin needle electrode is inserted through the skin in awake human subjects. We analyze the response of tactile receptors to a variety of stimuli, for example a robot-controlled brush or indenting device. We study brain mechanisms using multi-electrode electroencephalography (EEG) or functional magnetic resonance imaging (fMRI), and we use advanced mathematical and statistical techniques to analyze the data. Finally, we probe the sensations elicited by tactile stimuli using psychophysical techniques, where the participant is asked to rate a sensation on a scale or determine the threshold for detection of a stimulus. By combining these techniques, we aim to improve our understanding of the sense of touch by establishing the link between the neural messages provided by the peripheral sensory receptors, and discriminative and emotional aspects of sensory perception.
1. A first topic of our current research is focused on the discovery of low-threshold mechanoreceptors with unmyelinated nerve fibres in the hairy skin, so-called C-tactile or CT afferents. Our research has showed that these respond vigorously to pleasant touch, such as slow stroking with a soft brush or with the hand. By correlating afferent activity recorded using microneurography with psychophysical studies, we have recently showed that CT afferents are important for encoding the pleasantness of touch. CT afferents project to the insular cortex of the brain, a region that is important for the sense of temperature or pain, and for emotion and the regulation of the body’s homeostasis. fMRI is done in collaboration with Dr. Göran Starck and colleagues at the Dept. of Radiology, Sahlgrenska University Hospital.
2. A second research topic is the tactile sense in the finger tips. This work is done in collaboration with a large EU consortium, with robotics research, materials science, experimental psychology, patient studies, bio-engineering, computer modelling, and mathematical data analysis. One aim is to construct artificial touch devices that can mimic the human sense of touch, to be used in advanced robotics or for industrial applications. The first EU project, NANOBIOTACT, was finished in May 2010, and the second project NANOBIOTOUCH was started in January 2010. This project will focus on higher-order or complex tactile experience, such as preference or perceived pleasantness of surfaces and objects.
3. A third research topic is tactile directional sensibility in perception and postural control, and the related brain mechanisms for processing this kind of tactile information. Tactile directional sensibility is provided both by spatio-temporal information provided by sensory receptors that are successively activated when a stimulus is moving on the skin, but also by patterns of skin stretch provided specifically by the SAII (Ruffini) afferents in the hairy skin. The research group has developed highly sensitive clinical tests on discriminative sensory function, which is now used to detect peripheral neuropathy, for example in diabetic patients.
4. A fourth topic is the development of new methods to analyze data from functional brain imaging (EEG and fMRI) using Machine Learning and pattern recognition techniques, based on multivariate mathematical methods, including Support Vector Machines or Artificial Neural Nets. These news tools are complementary to standard statistical (univariate) methods, and can provide higher sensitivity or improved resolution. The multivariate techniques may also be used reveal biologically relevant correlated patterns of brain activity, or to detect or discriminate brain states on a single-trial level, even in real time. Using new methods developed by Malin Björnsdotter, we have recently showed that CT afferent input to the posterior insula is somatotopically organized.
Professor, MD, PhD
Tel.: +46 31 786 3506
Dept. of Physiology
University of Gothenburg
SE-405 30 Göteborg