Dynamic lag analysis of human brain activity propagation - a fast fMRI study
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Oulu University Hospital, lecture room 7. Remote access: https://oulu.zoom.us/j/65494442823?pwd=SEVpclRiTGp0My9ZVGxRbCt0M01Ddz09
Topic of the dissertation
Dynamic lag analysis of human brain activity propagation - a fast fMRI study
Doctoral candidate
Master of Science in Technology (M.Sc. in Technology) Ville Raatikainen
Faculty and unit
University of Oulu Graduate School, Faculty of Medicine, Research Unit of Medical Imaging, Physics and Technology (MIPT)
Subject of study
Medicine, Radiology
Opponent
Associate Professor Iiro Jääskeläinen, Aalto University
Custos
Professor Vesa Kiviniemi, University of Oulu, Oulu University Hospital
Temporal analysis of human brain activity propagation - a fast functional magnetic resonance imaging study
The purpose of this study was to examine the dynamic propagation patterns of brain activity between brain regions using a fast functional magnetic resonance imaging in humans. Functional magnetic resonance imaging is a technique for mapping and measuring brain activity by detecting changes associated with blood flow. However, it has been constrained by a relatively low temporal resolution.
In this thesis, a fast functional magnetic resonance imaging was utilised, enabling 20 to 30 times better temporal resolution than conventional techniques. Faster imaging techniques would allow to study human brain activity propagation patterns in a novel way.
In this thesis, a comprehensive analysis approach was developed to study probabilistic patterns of information flow between brain regions. Our temporal analyses revealed new patterns in the way slow signals propagate between functional brain regions, and suggested that information flow is aberrant in autism spectrum disorder and type 1 narcolepsy with cataplexy compared with healthy individuals.
Our findings offer a glimpse into the principles that govern brain activity and potentially open a much broader line of research into the integrated functioning of the human brain. A deeper understanding of brain dynamics offers comprehensive views of brain physiology and potentially help to detect the sensitive biomarkers of some pathologies in the future.
In this thesis, a fast functional magnetic resonance imaging was utilised, enabling 20 to 30 times better temporal resolution than conventional techniques. Faster imaging techniques would allow to study human brain activity propagation patterns in a novel way.
In this thesis, a comprehensive analysis approach was developed to study probabilistic patterns of information flow between brain regions. Our temporal analyses revealed new patterns in the way slow signals propagate between functional brain regions, and suggested that information flow is aberrant in autism spectrum disorder and type 1 narcolepsy with cataplexy compared with healthy individuals.
Our findings offer a glimpse into the principles that govern brain activity and potentially open a much broader line of research into the integrated functioning of the human brain. A deeper understanding of brain dynamics offers comprehensive views of brain physiology and potentially help to detect the sensitive biomarkers of some pathologies in the future.
Last updated: 1.3.2023