Workshops

“Multivariate pattern analysis for neuroimaging data.” Almeida, Rita.

Introduction to applications of multivariate pattern analysis to neuroimaging data with examples and hands-on tutorial.

“fMRI-analysis with SPM.” Andersson, Micael.

During the workshop, data of one single subject performing a task in MR-scanner will be processed and analysed. It will contain the following moments: SliceTiming and movement correction, segmentation, normalisation to MNI-space and regression analyses. The participants are supposed to have matlab installed on their computers and downloaded SPM-toolbox. No previous experience about SPM-analyses is required. A superficial knowledge about fMRI is enough.

“BRAPH 2: Network Analysis for Neuroscience and Deep Learning.” Cheng, Yu-Wei.

This workshop presents BRAPH 2, a flexible, open-source, and reproducible framework for network analyses in neuroscience. Participants will learn how to use its ready-to-use pipelines for graph-theoretical, statistical, and deep-learning analyses within an easy-to-use graphical environment. The workshop will also demonstrate how BRAPH 2 supports all levels of use, from GUI-based analysis to command-line and script-based workflows, as well as the rapid development of custom specialized distributions with minimal coding.

“fNIRS Anatomical Registration – Alexander Kvist, Karolinska Institute. In collaboration with NIRx.” Kvist, Alexander.

Alexander Kvist will lead a hands-on tutorial on anatomical registration in fNIRS analysis pipelines. The workshop will focus on photogrammetric optode co-registration in order to increase spatial precision and reproducibility. The workshop is held in collaboration with NIRx.

“Introduction to OPM-MEG data analysis.” Pfeiffer, Christoph.

In this hands-on workshop you will learn about novel OPM-based magnetoecencephalography (MEG) and how to preprocess and analyse data. We will work with a dataset recorded with the whole-head OPM-MEG system at KI, one of the largest of its kind in the world, go through preprocessing, sensor-level analysis, and source reconstruction with special attention to OPM-MEG specific aspects.

Talks

Day 1

Day 2

“Early Childhood Brain Development and Schizophrenia Risk – Lessons Learned.” Gilmore, John.

The talk will cover 1) the rationale for studying early childhood brain development in relation to understanding schizophrenia,  2) a summary of the main findings of the UNC Early Brain Development Study – structural and functional brain development and its relationship to cognitive development, psychopathology, and risk, 3) the limitations of neuroimaging in understanding these relationships and suggestions for the future.

“Towards Precision Assessments of Brain Change in Individuals.” Elliott, Maxwell.

In this talk, I will discuss the challenge of measuring brain changes in individuals over short intervals (e.g., 1 year) because of measurement error. I will present a new methodology, “Cluster Scanning”, an approach that reduces error by densely repeating rapid structural scans, and discuss results from data collection in which we used Cluster Scanning to assess brain aging in individuals across three timepoints in one year. I will then discuss the potential of Cluster Scanning, especially for studies of development, aging, and tracking of treatment responses in individuals.

“Bayesian methods to compare models to neuroimaging data.” Schütt, Heiko.

We recently developed a Bayesian linear encoding model for which we can analytically compute the likelihood to observe any pattern of responses in a voxel or channel. This allows us to compute a posterior probability distribution over which model representation created the responses without dimensionality reduction hyperparameter tuning or cross-validation. Extensive evaluations demonstrate the reliability, effectiveness, and efficiency of the new methods.

Day 3

“Trajectories of brain change in psychiatric disorders: The promises and pitfalls of longitudinal neuroimaging studies”. Klahn, Luisa.

Longitudinal neuroimaging studies offer a powerful framework to investigate how brain structure and function evolve across the course of psychiatric disorders. By capturing within-individual change over time, they provide insights that cross-sectional studies cannot. However, these approaches also present methodological, practical, and interpretational challenges. This talk will review key opportunities and limitations of longitudinal brain imaging and discuss strategies to strengthen future studies.