A05
Cognitive flexibility is the ability to adapt our behavior to a changing environment. It crucially depends on the prefrontal cortex. In our project, we are investigating whether and how the extracellular matrix, which surrounds neurons and determines the biophysical properties of the brain, contributes to the regulation of cognitive flexibility in mice and humans.
Principal Investigators & Co-Workers
Prof. Dr. Constanze Seidenbecher
Prof. Dr. Alexander Dityatev
Dr. Dr. Björn Hendrik Schott
Dr. Stepan Aleshin
Margarita Darna
Annabell Ernst
Shaobo Jia
Hadi Mirzapourdelavar
Dr. Anni Richter
What is the extracellular matrix?
The extracellular matrix (ECM) in the brain consists of a three-dimensional meshwork of macromolecules such as proteoglycans, glycoproteins and hyaluronic acid. These molecules are produced by neurons and glial cells and released into the extracellular space, where they form gel-like macrostructures. Especially around inhibitory parvalbumin-positive cells, so-called perineuronal nets are found as a specialization of the ECM, surrounding and isolating the synapses.
The goals of our project
We aim to investigate in rodents and humans the importance of the ECM in the frontal cortex as a neural resource for cognitive flexibility and the potential transfer of this output from one task to another. We are interested in whether changes in cognitive flexibility during aging are accompanied by changes in the matrix. In particular, we focus on the proteoglycans neurocan and brevican and the complex carbohydrate polysialic acid (PSA). Using young and older healthy humans and mice, we will perform attention tasks and virtual reality maze experiments. We want to find out if improvements in a particular test translate to other behavioral tasks.
Is there a correlation between brain activity and ECM composition?
The molecular composition of the neural ECM changes during maturation and aging of the brain as well as during diseases such as tumors, brain trauma, epilepsy, depression, schizophrenia, or neurodegenerative diseases (Ulbrich et al., 2021). ECM is also modulated depending on the activity state of healthy neuronal networks. For example, activation of dopamine receptors in neurons of the cerebral cortex leads to increased cleavage of ECM proteoglycans by extracellular proteases (Mitlöhner et al., 2020). When the neural ECM is experimentally degraded, the plastic properties of the brain change. For example, the cognitive flexibility of gerbils in an acoustic relearning task increases when the ECM in the auditory cortex is degraded prior to relearning (Happel et al., 2014).
Genetic variability in ECM-encoding genes
Throughout the genome, there are numerous polymorphic sites that make up our genetic variability, to which ECM-encoding genes are also subject. In the NCAN gene, which encodes the proteoglycan neurocan, there is a polymorphism that is considered a genome-wide risk factor for neuropsychiatric disorders such as schizophrenia and bipolar disorder. We have shown that this polymorphism correlates with memory performance and hippocampal activation patterns in a learning task and with gray matter density in the prefrontal cortex in healthy adults (Assmann et al., 2021).
Matrix-deficient mice
The molecular composition of the neural ECM changes during maturation and aging of the brain as well as during diseases such as tumors, brain trauma, epilepsy, depression, schizophrenia, or neurodegenerative diseases (Ulbrich et al., 2021). ECM is also modulated depending on the activity state of healthy neuronal networks. For example, activation of dopamine receptors in neurons of the cerebral cortex leads to increased cleavage of ECM proteoglycans by extracellular proteases (Mitlöhner et al., 2020). When the neural ECM is experimentally degraded, the plastic properties of the brain change. For example, the cognitive flexibility of gerbils in an acoustic relearning task increases when the ECM in the auditory cortex is degraded prior to relearning (Happel et al., 2014).
Matrix variability and cognitive flexibility in humans
Throughout the genome, there are numerous polymorphic sites that make up our genetic variability, to which ECM-encoding genes are also subject. In the NCAN gene, which encodes the proteoglycan neurocan, there is a polymorphism that is considered a genome-wide risk factor for neuropsychiatric disorders such as schizophrenia and bipolar disorder. We have shown that this polymorphism correlates with memory performance and hippocampal activation patterns in a learning task and with gray matter density in the prefrontal cortex in healthy adults (Assmann et al., 2021).
A glimpse into the future
By working in parallel with mice and humans, we aim to dissect the basic mechanisms of how the micro-environment of neurons in the frontal cortex may affect the capacity for cognitive flexibility. Detection of brain ECM components in serum from patients could provide insight into remodeling processes of the neural ECM in disease conditions associated with impaired cognitive flexibility and stimulate the development of pharmacological tools that help control matrix integrity in the brain.
Publications of the project A05
Margarita Darna, Anni Richter, Jens-Max Hopf, Constanze I. Seidenbecher, Björn H. Schott
Niklas Behrenbruch, Svenja Schwarck, Beate Schumann-Werner, Eóin N. Molloy,
Berta Garcia-Garcia, Anne Hochkeppler, Larissa Fischer, Anna-Therese Büchel, Enise I. Incesoy, Jose Bernal, Niklas Vockert, Patrick Müller, Gusalija Behnisch, Bárbara Morgado,
Hermann Esselmann, Constanze I. Seidenbecher, Björn H. Schott, Henryk Barthel, Osama Sabri, Jens Wiltfang, Michael C. Kreissl, Emrah Düzel & Anne Maass
Margarita Darna, Christopher Stolz, Hannah-Sophia Jauch, Hendrik Strumpf, Jens-Max Hopf, Constanze I. Seidenbecher, Björn H. Schott, Anni Richter
Baidoe-Ansah D, Mirzapourdelavar H, Aleshin S, Schott BH, Seidenbecher C, Kaushik R, Dityatev A.
Niklas Vockert, Judith Machts, Luca Kleineidam, Aditya Nemali, Hartmut Schütze, Renat Yakupov, Oliver Peters, Daria Gref, Luisa Sophie Schneider, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Anja Schneider, Klaus Fliessbach, Jens Wiltfang, Ayda Rostamzadeh, Wenzel Glanz, Enise I. Incesoy, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Christoph Laske, Matthias H. Munk, Annika Spottke, Nina Roy, Michael T. Heneka, Frederic Brosseron, Michael Wagner, Steffen Wolfsgruber, Laura Dobisch, Peter Dechent, Stefan Hetzer, Klaus Scheffler, Peter Zeidman, Yaakov Stern, Björn H.Schott, Frank Jessen, Emrah Düzel, Anne Maass, Gabriel Ziegler, the DELCODE study group
Soch J, Richter A, Kizilirmak JM, Schütze H, Ziegler G, Altenstein S, Brosseron F, Fliessbach K, Freiesleben SD, Glanz W, Gref D, Heneka MT, Incesoy EI, Kilimann I, Kimmich O, Laske C, Lohse A, Lüsebrink F, Munk MH, Peters O, Preis L, Priller J, Ramirez A, Roeske S, Rostamzadeh A, Roy-Kluth N, Schneider A, Spottke A, Spruth EJ, Teipel S, Wiltfang J, Jessen F, Wagner M, Düzel E, Schott BH
Soch J, Richter A, Kizilirmak JM, Schütze H, Altenstein S, Dechent P, Fliessbach K, Glanz W, Herrera AL, Hetzer S, Incesoy EI, Kilimann I, Kimmich O, Lammerding D, Laske C, Lohse A, Lüsebrink F, Munk MH, Peters O, Preis L, Priller J, Rostamzadeh A, Roy-Kluth N, Scheffler K, Schneider A, Spottke A, Spruth EJ, Teipel S, Wiltfang J, Jessen F, Düzel E, Schott BH
Seiler S, Rudolf F, Gomes FR, Pavlovic A, Nebel J, Seidenbecher CI, Foo LC
Margarita Darna, Christopher Stolz, Hannah-Sophia Jauch, Hendrik Strumpf, Jens-Max Hopf, Constanze I. Seidenbecher, Björn H. Schott, Anni Richter
Chelini G, Mirzapourdelavar H, Durning P, Baidoe-Ansah D, Sethi MK, O’Donovan SM, Klengel T, Balasco L, Berciu C, Boyer-Boiteau A, McCullumsmith R, Ressler KJ, Zaia J, Bozzi Y*, Dityatev A*, Berretta S*.
Mahsima Khoshneviszadeh, Solveig Henneicke, Daniel Pirici, Akilashree Senthilnathan, Lorena Morton, Philipp Arndt, Rahul Kaushik, Oula Norman, Jari Jukkola, Ildiko Rita Dunay, Constanze Seidenbecher, Anne Heikkinen, Stefanie Schreiber *, Alexander Dityatev *
Kizilirmak JM, Soch J, Richter A, Schott BH
Baidoe-Ansah D, Mirzapourdelavar H, Aleshin S, Schott BH, Seidenbecher CI, Kaushik R, Dityatev A.
Niklas Vockert, Judith Machts, Luca Kleineidam, Aditya Nemali, Hartmut Schütze, Renat Yakupov, Oliver Peters, Daria Gref, Luisa Sophie Schneider, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Anja Schneider, Klaus Fliessbach, Jens Wiltfang, Ayda Rostamzadeh, Wenzel Glanz, Enise I. Incesoy, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Christoph Laske, Matthias H. Munk, Annika Spottke, Nina Roy, Michael T. Heneka, Frederic Brosseron, Michael Wagner, Steffen Wolfsgruber, Laura Dobisch, Peter Dechent, Stefan Hetzer, Klaus Scheffler, Peter Zeidman, Yaakov Stern, Björn H.Schott, Frank Jessen, Emrah Düzel, Anne Maass, Gabriel Ziegler, the DELCODE study group
Armand Blondiaux, Shaobo Jia, Anil Annamneedi, Gürsel Çalışkan, Jana Nebel, Carolina Montenegro-Venegas, Robert C Wykes, Anna Fejtova, Matthew C Walker, Oliver Stork, Eckart D Gundelfinger, Alexander Dityatev, Constanze I Seidenbecher
Stolz C, Bulla A, Soch J, Schott BH, Richter A
Adam I Ramsaran, Ying Wang, Ali Golbabaei, Stepan Aleshin, Mitchell L de Snoo, Bi-Ru Amy Yeung, Asim J Rashid, Ankit Awasthi, Jocelyn Lau, Lina M Tran, Sangyoon Y Ko, Andrin Abegg, Lana Chunan Duan, Cory McKenzie, Julia Gallucci, Moriam Ahmed, Rahul Kaushik, Alexander Dityatev, Sheena A Josselyn, Paul W Frankland