Dr Månsson Laboratory
Dr Månsson Laboratory
Things we like to do
Moment-to-moment brain signal variability reliably predicts psychiatric treatment outcome
Månsson, K. N. T., Waschke, L., Manzouri, A., Furmark, T., Fischer, H., & Garrett, D. D. (2021). Moment-to-moment brain signal variability reliably predicts psychiatric treatment outcome. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2021.09.026Presentation on YouTube, click here!Cover art: The cover art is an illustration of how moment-to-moment brain signal variability differs across individuals. In this issue, Månsson et al. demonstrate that such individual differences in brain signal variability formed a reliable and accurate predictor of treatment success in patients with social anxiety disorder receiving cognitive behavioral therapy. The cover was art directed by Heejung Jung (Department of Psychological and Brain Sciences, Dartmouth College) and graphical design was executed by Kristoffer N. T. Månsson (Department of Clinical Neuroscience, Karolinska Institutet).
Investigate rapid brain plasticity using structural magnetic resonance imaging
Olivo, G., Lövdén, M., Manzouri, A., Terlau, L., Jenner, B., Jafari, A., Petersson, S., Li, T.-Q., Fischer, H., & Månsson, K. N. T. (2022). Estimated Gray Matter Volume Rapidly Changes after a Short Motor Task. Cerebral Cortex. https://doi.org/10.1093/cercor/bhab488Månsson, K. N. T., Cortes, D. S., Manzouri, A., Li, T.-Q., Hau, S., & Fischer, H. (2020). Viewing Pictures Triggers Rapid Morphological Enlargement in the Human Visual Cortex. Cerebral Cortex , 30(3), 851–857. https://doi.org/10.1093/cercor/bhz131
The illustration was featured as a cover image in Cerebral Cortex, march 2020. Illustration by Staffan Lager.
Cellular protection and biological aging in social anxiety disordered patients receiving cognitive-behavioral therapy (CBT)
Månsson, K. N. T., et al. (2019). Translational Psychiatry, 9, 340. doi.org/10.1038/s41398-019-0668-2
Image obtained from Daniel Lindqvist et al., Neurosci Biobehav Rev doi.org/10.1016/J.NEUBIOREV.2015.05.007Interested in joining us?
If you are a highly motivated student looking for an internship, position as research assistant, PhD student, or postdoctoral fellowship - don't hesitate to get in touch with us! kristoffer.mansson@ki.se
Postdoc opportunity!
We are about to hire a postdoc to the lab, more information to come. Reach out if you are interested to know more!
Internships open from January 2023
We can host internships for international students visiting the lab for a few months. Contact us for more information.
Lab members
Kristoffer N T Månsson, PhD
Principal investigator, Associate Professor
Previous academic positions
- Visiting faculty, Dartmouth College, Hanover, New Hampshire, USA (PI: Tor Wager)
- Post doc, Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London; Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany (PI: Douglas D Garrett)
- Post doc, Department of Psychology, Stockholm University, Sweden (PI: Håkan Fischer)
- Study Director, Psychiatry Research School, Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (2017-2020)
Nikolay Popov, MSc
PhD student
Nikolay completed a BSc in Economics at Higher School of Economics, Moscow, Russia, and a MSc in Engineering at Nara Institute of Science and Technology, Nara, Japan, before joining the lab as a PhD student. Methodologically, Nikolay will focus on brain signal variability and extracting dynamic brain states from functional magnetic resonance imaging (fMRI) data to investigate the brain of patients with social anxiety disorder and/or major depressive disorder. Nikolay will also closely work on experimental designs involving naturalistic fMRI tasks.
Tuğçe Yıldız, MSc
PhD student
Tuğçe completed a BSc in psychology in Turkey, and MSc in Cognitive Neuroscience and Clinical Neuropsychology at Padova University, Italy, before joining the lab as a PhD student. Tuğçe will use a variety of scientific methods and analytic techniques to investigate the brain of patients with social anxiety disorder, including functional and structural magnetic resonance imaging (MRI), and magnetoencephalography (MEG). For instance, Tuğçe will investigate brain signal variability and signal complexity, as well as gray matter volume in patients with social anxiety disorder.
Mathilda Björkman, MSc
Clinical Psychologist and incoming PhD student
Mathilda is a research assistant in the lab and is involved in fMRI scanning och scheduling participants to an ongoing data collection. Mathilda is also an intern clinical psychologist under supervision (PTP) in adult general psychiatry. Mathilda is involved in a project investigating socio-affective neural response to predict the outcome of internet-based CBT in adults with common psychiatric disorders. Mathilda’s master thesis is entitled “Predicting psychiatric patients’ symptom improvement after internet-delivered cognitive behavioral therapy”.
Amir Manzouri, MSc
Research engineer
Amir studied medical imaging at the Royal Institute of Technology in Stockholm and has been working with neuroimaging methods as a research engineer since 2010. Amir has been involved in research on Alzheimer’s disease, gender identity, emotion, stress and anxiety disorders. Amir has extensive experience with data collection (e.g., magnetic resonance imaging, MRI scanning), and expertise in data pre- and post-processing, higher level statistical analyses on functional MRI data, e.g., psycho-physiological interactions (PPI), partial least squares (PLS), support vector machines (SVM), and independent component analysis (ICA). Moreover, Amir also has extensive expertise in structural MRI data analysis, e.g., FreeSurfer, AFNI, BrainVoyager, and voxel based morphometry (VBM), and tract-based spatial statistics (TBSS).
Sylvia Edwards, MSc
Research assistant
Sylvia studied Art and Psychology in the UK before completing an MSc in Cognitive Neuroscience in the Netherlands. Sylvia will work as a research assistant on multiple projects, including collecting MRI data for a large twin study on stress responses (PI Professor Fredrik Åhs). Sylvia will also analyse fMRI and sleepiness data from individuals experiencing sleep deprivation.
Alumni
Internships and Bachelor or Master level theses
- Adam Yngve, Anna Stavenberg, Arian Jafari, Björn von Gegerfelt, Bo Jenner, Jennie Åberg Syed, Markus Söderqvist, Mathilda Björkman, Nils Isacsson, Simon Höglund, Örn Kolbeinsson
- Laura Terlau (Osnabrück University, Germany), Virginia Berlose (University of Padoa, Italy), Alice Clerouin (Ecole Normale Supérieure, France), Katarzyna Karpa (Universität Heidelberg, Germany), Sara Halmans (University of Lübeck, Germany)
Funding sources
We are grateful for the generous support provided by
KIRI Fellow
Dr Månsson and Dr Ampatzis at Karolinska Institutet received funding from KIRI Fellow: "Investigations of brain signal variability and rapid plasticity during approach-avoidance of fear: experiments of humans and zebrafish"Center for Innovative Medicine (CIMED)
Funding provided 2022.
StratNeuro
Funding provided 2022.
Karolinska Institutet
Funding for position (6 years) as Assistant Professor in medical science at Karolinska Institutet.
Swedish Research Council (Vetenskapsrådet)
International post doc, 3 year funding: "Improving psychological treatments for anxiety disorders by investigating the temporal dynamics of brain’s neural responses"
Swedish Brain Foundation
Funding provided 2022.
