Scientific program

Monday, September 21

EDUCATIONAL COURSES

8:30-10:00

I. Voxel-based Morphometry (VBM) and FreeSurfer. Theodor Rumetshofer, Lund University

II. Joint models of M/EEG and behavior to understand cognition. Michael Nunez, University of Amsterdam (part I) (continues until 14:30)

III. fNIRS Anatomical Registration. Alexander Kvist, Karolinska Institute

IV. Representational Similarity Analysis (RSA) Toolbox. Heiko Schütt, University of Luxembourg

V. Introduction to OPM-MEG data analysis. Christoph Pfeiffer, Karolinska Institute (part I) (continues until 11:30)

VI. Python and network analysis. William Hedley Thompson, University of Gothenburg

10:00-10:30. Coffee break.

10:30-11:30

II (cont.) Joint models of M/EEG and behavior to understand cognition. Michael Nunez, University of Amsterdam (part II) (continues until 14:30)

V (cont.) Introduction to OPM-MEG data analysis. Christoph Pfeiffer, Karolinska Institute

VI. fMRI-analysis with SPM. Micael Andersson, Umeå University (part I) (continues until 14:30)

VII. Multivariate pattern analysis for neuroimaging data. Rita Almeida, Stockholm University (part I) (continues until 14:30)

11:30-12:30. Lunch.

12:30-14:30

II (cont.) Joint models of M/EEG and behavior to understand cognition. Michael Nunez, University of Amsterdam (part III)

VI (cont.) fMRI-analysis with SPM. Micael Andersson, Umeå University (part II)

VII (cont.) Multivariate pattern analysis for neuroimaging data. Rita Almeida, Stockholm University (part II)

VIII. BRAPH 2: Network Analysis for Neuroscience and Deep Learning. Yu-Wei Chen, University of Gothenburg

IX. Diffusion MRI: From Acquisition to Analysis. Markus Nilsson, Lund University

SYMPOSIUM START

16:00-16:10

Welcome & Introduction

16:10-17:00

Keynote: In Vivo MRI Histology.

Prof. Dr. Nikolaus Weiskopf (Max Planck Institute for Human Cognitive and Brain Sciences)

17:00-18:30

Welcome Reception & Networking

Tuesday, September 22

8:40-8:50

Welcome & Introduction

8:50-9:40

Keynote: “Early Childhood Brain Development and Schizophrenia Risk – Lessons Learned.” (online)

Prof. John Gilmore (University of North Carolina)

9:40-10:20

Lecture: “Towards Precision Assessments of Brain Change in Individuals.”

Associate Prof. Maxwell Elliott (University of Minnesota)

10:20-11:00

Lecture: “Multimodal Brain Mapping in Healthy Aging: The DyNAMiC Study.”

Dr. Jarkko Johansson (Umeå University)

11:00-11:30

Coffee Break

11:30-12:20

Keynote: “Reliability Reconsidered: Measurement Models for Longitudinal Neuroimaging.”

Prof. Dr. Andreas M. Brandmaier (MSB Medical School Berlin)

12:20-13:00

Lecture: “Reproducibility and Transparency in Functional Near-Infrared Spectroscopy.”

Alexander Kvist (Karolinska Institute)

13:00-14:00

Lunch

14:00-14:50

Keynote: Layer-Specific fMRI.

Dr. Renzo Huber (National Institutes of Health, Bethesda)

14:50-15:30

Lecture: “Bayesian methods to compare models to neuroimaging data.”

Associate Prof. Heiko Schütt (University of Luxembourg)

15:30-16:00

Coffee Break

16:00-16:40

Lecture: Fundamentals of network theory.

Dr. William Hedley Thompson (University of Gothenburg)

16:40-17:10

Intervention: Science Communication in Brain Imaging: Lessons from Forskningstorget.

Jose Luis Alatorre Warren (University of Oslo)

Day 3 – Wednesday, September 23

8:40-8:50

Welcome & Introduction

8:50-9:40

Keynote: “The BRIGHT Project: Brain Imaging for Global Health.”

Dr. Clare Elwell (University College London)

9:40-10:10

Coffee Break

10:10-10:40

Lecture: “GABA-Edited MR Spectroscopy in Visual Neuroscience: Methodological Lessons from Early Visual Experience and Healthy Ageing.”

Dr. Kabilan Pitchaimuthu (Linnéuniversitetet)

10:40-11:20

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

Dr. Luisa Khlan (University of Gothenburg)

11:30-12:30

Lunch & Departures

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