Honorary members

Honorary membership is awarded to researchers and professionals who have made exceptional contributions to basal ganglia related research in Sweden. The first two honorary members are Anders Björklund and Sten Grillner, They also have accepted to give the inaugural lectures at SWEBAGS launching event on January 22nd 2021

Anders Björklund


Anders Björklund is Senior Professor of Neuroscience at Lund University. Through over 50 years of highly productive research, Anders Björklund has made fundamental contributions to the functional neuroanatomy of catecholamines, the biology of dopamine neurons, and the development of new treatment principles for Parkinson’s disease (PD). His best-known achievements are in the field of cell transplantation and brain repair. Anders Björklund started this line of research based on the idea that immature neurons can be used to restore brain circuitry and promote functional recovery in animal models of neurodegenerative diseases. His group pioneered a cell transplantation approach using donor tissue from the fetal brain, bringing it to clinical trials in PD patients. These studies have given proof-of-principle that immature dopamine neurons can survive and restore dopamine neurotransmission in the parkinsonian striatum.

Sten Grillner


Professor Sten Grillner has over many years investigated the principles for how the motor systems are organized and controlled in the lamprey. He first identified the neural circuits in the spinal cord which generate locomotion, and how they are controlled from the brain stem. Thereafter he has continued to show that the basal ganglia in the lamprey share all important features with higher vertebrates, such as the rodent, and that even the lamprey pallium (cortex) had already received organizational principles seen in higher vertebrates when the lamprey diverged from the other vertebrates for over 500 million years ago. In all his research work Sten Grillner has strived to explain the changes in motor behaviour based on cellular and network level mechanisms.