11 Jan 2017
There is more reason to feel hopeful about future prospects for Alzheimer’s disease treatment and prevention as research continues to yield important new insights about the disease. 2016 saw key breakthroughs and trends in the fight against Alzheimer’s, however there is still so much about this disease that is still unknown.
Check out the article 10 Reasons to Be Hopeful About the Future of Alzheimer’s Disease which summarises this past year’s research findings, initiatives and information on treatment and prevention of Alzheimer’s disease. Importantly, work from our group has been identified as one of the critical important factors for the identification of biomarkers that may lead to early prevention.
31 Oct 2016
30 Oct 2016
The CoBrA Lab will be at the Society for Neuroscience’s annual meeting in San Diego from November 12-16. This event is the world’s largest meeting in neuroscience, with over 30,000 attendees from around the globe, and allows scientists to present their findings, learn from experts, forge collaborations, and explore new tools and technologies. Two of our lab members (Daniel Gallino and Gulebru Ayranci) will be presenting posters and three of them (Elisa Guma, Christine Tardif, and Chris Steele) will be presenting their research with a nanosymposium. Check out our abstracts. For more information about SfN and the meeting, check out their website.
18 Oct 2016
Check out our recently developed hippocampal white matter atlas created by Robert S.C. Amaral. This atlas includes the full anterior to posterior segmentation of extra-hippocampal white matter tracts (i.e. alveus, fimbria, and fornix). Our freely-available 5 high-resolution MRI atlases have been derived from a reliable and detailed manual segmentation protocol. Moreover, these white matter atlases can be used in complement with the hippocampal subfield atlas previously developed in our lab. For more information about this atlas, check out our atlases webpage or to download it, click here.
In addition, implementation and validation of these white matter atlases on our automatic segmentation pipeline, MAGeT Brain, was used to analyze the trajectory of these hippocampal white matter regions in both healthy aging (OASIS dataset), Alzheimer’s disease, and mild cognitive impairment (ADNI) cohorts. For more information regarding segmentation protocol, reliability, validation, methods and results see the pre-print version of our article.
01 Oct 2016
Hanna Röhling is a second year student of the Master program in Computational Neuroscience at the Bernstein Center for Computational Neuroscience in Berlin, Germany. Having completed her undergraduate studies in Computational Life Science at the University of Lübeck in Germany, Hanna became interested in machine learning and multi-variate techniques for the development of diagnostic tools and the investigation of biomarkers. She would like to gain experience in a more translationally oriented research field and will be doing a lab rotation at the CoBrA Lab for three months to gain experience in computational neuroanatomy.