The publication “Full Exploitation of High-Dimensionality in Brain Imaging: The JPND working group Statement and Findings” is was published at Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring.
Sander has worked on an R package that facilitates analyses of vertex-wise data of brain MRI’s segmented with Freesurfer. This package will make vertex-wise analyses more accessible and furthermore allow more complex analyses than current software. Great job!
Dr. Haldar currently in the process of applying for a call for proposal for the BRICS Countries (Brazil, Russia India, China and South Africa). He is working on a proposal with collaborators from India, Russia and Brazil along with UNITED Consortium, to create a harmonized data storage and image processing pipeline for high-dimensional imaging markers from neuroimaging data in these countries, and also to generate population-specific brain maps for neurodegenerative diseases and identify commonalities and distinctive features compared to other populations.
Recently, our paper on the neurodevelopmental and neurodegenerative effects of the previously identified genetic variants for general cognitive function was published in Aging!
A major undertaking, led by Natalie Terzikhan, to perform a review of all neuroimaging studies published in the field of neurodegeneration. Over 25,000 publications are in the process of being reviewed.
A fresh batch of MRI scans have been processed by Tavia Evans to obtain measures of orbital telorism. With this, we will be able to answer a variety of questions regarding correlates of telorism in the general population.
We are extremely happy to announce that Dr. Elizabeth Loehrer obtained the Leading Fellows grant to strengthen our lab. Elizabeth obtained her PhD from Harvard University in oncology and will be working on determining the feasibility of applying induced pluripotent stem cells in a population-based setting. Looking forward to having you here next year!S
Sander Lamballais presenting his QDECR software package to interested participants of the Organization of Human Brain Mapping (OHBM) conference in Rome. A lot of positive feedback illustrating the need for easy-to-use software for analyzing vertex-wise data!
Sander Lamballais presented a controversial paper showing no benefit of (complex) machine learning over logistic regression when predicting clinical outcomes.
Nature published a correspondence titled “Stats: a trillion P values and counting” by Hieab Adams, in response to the recently repeated call to ban null hypothesis significance testing, the watered-down version of p-value banning.