Our review highlights the increasing incidence of sport-related concussion (SRC) and its potential impact on long-term cognitive functioning:

In this study, we uncover a spatiotemporal complexity architecture of spontaneous brain activity – a human “complexome” that is tightly linked to the brain’s organization as a large-scale network.

The key observation is that the brain operates in distinct states of complexity. Specifically, we found that brain activity is highly irregular most of the time, which is reflected by a higher degree of complexity. However, this “default state” is repeatedly interrupted by spontaneous episodes of low complexity (“complexity drops”), in which brain activity becomes much more regular for a short moment in time.

These dynamics offer an explanation for why brain areas interact in functional networks and how activity patterns spread across the brain over time. Furthermore, the approach explains how brain networks change on the scale of seconds to minutes and creates a link between functional and anatomical properties of brain regions. Moreover, our work also shows that neural complexity is linked to age as well as cognitive and motor performance.

For more, feel free to reach out to Stephan and check out the paper here:

https://www.science.org/doi/10.1126/sciadv.abq3851

Charité press release:

https://www.charite.de/forschung/neues_aus_der_forschung/2023/neue_erkenntnisse_zu_hirnnetzwerken/

Twitter thread:

https://twitter.com/krohn_stephan/status/1621527031627517952

The human brain undergoes a phase of critical structural developments around birth. In our new study, we show that this perinatal development comes with a rapid formation of brain shape, beyond the expected growth in brain size.

Specifically, brain shape allowed us to predict the age of the infants from structural MRI data with a mean error of only ~4 days, systematically outperforming age prediction from brain size. Moreover, brain shape detected persistent signatures of premature birth that were not detected by brain size. Furthermore, we found that the brains of genetically related infants are more similar in shape than they are in size. Additionally, this shape similarity allowed us to predict which newborns are twin siblings with up to 97% accuracy, again outperforming twin predictions from brain size.

For more on this, get in touch with Stephan and check out the preprint here:

https://www.biorxiv.org/content/10.1101/2023.01.01.521756v1

Twitter thread:

https://twitter.com/krohn_stephan/status/1610346665885433857

Why do patients with tumor diseases suffer from cognitive deficits? This question is addressed in the work of Dr. Frederik Bartels, who has received this prestigious award for young cancer researchers in Berlin.

For more details, check out the links below to learn more about this award and Dr. Bartels’ recent work:

https://www.berliner-krebsgesellschaft.de/aktuelles/aktuelles-detail/curt-meyer-gedaechtnispreis-der-berliner-krebsgesellschaft-ev-fuer-neurologe-dr-frederik-bartels/

https://www.charite.de/forschung/themen_forschung/2022/dr_frederik_bartels_mit_curt_meyer_gedaechtnispreis_2022_ausgezeichnet/

https://www.bihealth.org/de/aktuell/curt-meyer-gedaechtnispreis-der-berliner-krebsgesellschaft-ev-fuer-den-neurologen-dr-frederik-bartels

https://jamanetwork.com/journals/jamaoncology/fullarticle/2781389

Preprint – Fingerprinting and behavioural prediction rest on distinct functional systems of the human connectome

New preprint on the relation between functional connectome-based identification and behavioural prediction! Based on high-quality resting-state fMRI, we find a dichotomy of signatures underlying the identification of individuals and the prediction of behaviour. The dichotomy is apparent on all levels of analysis, looking at  individual connections, resting-state networks and topological distribution. Find the preprint here!

New article in NeuroImage: Clinical: Transdiagnostic analysis reveals a shared hippocampal damage pattern across neuroimmunological diseases

Our recent article shows that hippocampal surface deformations converge on the left anterior hippocampus in patients with multiple sclerosis, NMDA receptor encephalitis and LGI1 encephalitis. This surface area appears to be particularly vulnerable across diseases and is sensitive to cognitive alterations.

Discover the spatial patterns in our full-text here.

New members joining our lab!

We are happy to announce that four new members are joining our lab.

Katia Schwichtenberg will be working for her medical doctoral project in 2021! She will investigate long-term cognitive outcomes following COVID-19. Welcome, Katia!

Also, we are delighted that Marie Schweikard joins for her medical doctoral thesis. Marie is going to work with us on neuroimaging findings in patients with autoimmune encephalitis. Bienvenue, Marie!

We are also very happy to welcome Nina Stephan, who is joining in 2021 as a student assistant . Hello, Nina!

And last but not least, a warm welcome to Wei Zhao, who will join for his doctoral project in 2021. Hi, Wei!

Looking forward to working with you!

New review in Translational Psychiatry with colleagues from King’s College London – Cognitive impact of neuronal antibodies: encephalitis and beyond

The review describes the cognitive impairment associated with each antibody-mediated syndrome and discusses the potential role of autoantibodies on cognition.

Find the full publication here.

Preprint – State-dependent signatures of Anti-NMDA-Receptor Encephalitis

New preprint on temporal dynamics of functional connectivity in autoimmune encephalitis! State-wise group comparisons and supervised machine learning detect state-dependent alterations in patients that remain undetected in static analysis. Find the preprint here!

Amy Romanello joined the lab!

We are very glad to announce that Amy Romanello, currently writing her master’s thesis in our lab, will stay with us as a PhD student starting in October 2020. She was accepted for a full-time 3-year scholarship at the Berlin School of Mind and Brain to carry out her project, presently titled Temporal Complexity of Resting-State Brain Signals: Capturing the Dynamics of Spontaneous Brain Activity.