On multivariate spectral analysis of fMRI time series

K MüllerD Yves von Cramon


Most of functional magnetic resonance imaging (fMRI) time series analysis is based on single voxel data evaluation using parametric statistical tests. The result of such an analysis is a statistical parametric map. Voxels with a high significance value in the parametric test are interpreted as activation regions stimulated by the experimental task. However, for the investigation of functional connectivities it would be interesting to get some detailed information about the temporal dynamics of the blood oxygen level-dependent (BOLD) signal. For investigating that behavior, a method for fMRI data analysis has been developed that is based on Wiener theory of spectral analysis for multivariate time series. Spectral parameters such as coherence measure and phase lead can be estimated. The resulting maps give detailed information on brain regions that belong to a network structure and also show the temporal behavior of the BOLD response function. This paper describes the method and presents a visual fMRI experiment as an example to demonstrate the results.


Jun 20, 2002·IEEE Transactions on Medical Imaging·Gabriele Lohmann, Stefan Bohn
May 3, 2005·NeuroImage·Clayton E CurtisMark D'Esposito
Nov 13, 2007·Neurophysiologie clinique = Clinical neurophysiology·S FallG de Marco
Jun 29, 2004·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerD Yves von Cramon
Mar 22, 2005·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerD Yves von Cramon
Jul 24, 2014·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Xiaohu ZhaoHongjian He
Oct 31, 2007·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerGabriele Lohmann
May 11, 2005·Human Brain Mapping·Lee M MillerMark D'Esposito
Nov 5, 2003·Nature Reviews. Neuroscience·Mark D'EspositoAdam Gazzaley
Apr 13, 2010·Cerebral Cortex·Einat LiebenthalJeffrey R Binder
Oct 25, 2011·PLoS Computational Biology·G Karl Steinke, Roberto F Galán
Oct 15, 2013·The European Journal of Neuroscience·Sonu BhaskarHoushang Amiri
Nov 19, 2015·Frontiers in Human Neuroscience·Leighton B HinkleySteven W Cheung
Feb 21, 2003·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerD Yves von Cramon
Jan 1, 2012·Journal of the American Statistical Association·Hakmook KangDavid Badre
Feb 13, 2002·NMR in Biomedicine
Nov 6, 2015·Frontiers in Pharmacology·Elisabeth JonckersAnnemie Van der Linden
Mar 3, 2009·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Brian J NiemanDaniel H Turnbull

Related Concepts

Vigilance, Cortical
Pattern Recognition, Visual
Hemispheric Specialization
Parametric Test
Optical Image Reconstruction
Computer Programs and Programming
Fourier Transform
Color Perception

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Synapse Loss as Therapeutic Target in MS

As we age, the number of synapses present in the human brain starts to decline, but in neurodegenerative diseases this occurs at an accelerated rate. In MS, it has been shown that there is a reduction in synaptic density, which presents a potential target for treatment. Here is the latest research on synapse loss as a therapeutic target in MS.

Artificial Intelligence in Cardiac Imaging

Artificial intelligence (ai) techniques are increasingly applied to cardiovascular (cv) medicine in cardiac imaging analysis. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

Social Learning

Social learning involves learning new behaviors through observation, imitation and modeling. Follow this feed to stay up to date on the latest research.

Cell Atlas of the Human Eye

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Single Cell Chromatin Profiling

Techniques like ATAC-seq and CUT&Tag have the potential to allow single cell profiling of chromatin accessibility, histones, and TFs. This will provide novel insight into cellular heterogeneity and cell states. Discover the latest research on single cell chromatin profiling here.

Genetic Screens in iPSC-derived Brain Cells

Genetic screening is a critical tool that can be employed to define and understand gene function and interaction. This feed focuses on genetic screens conducted using induced pluripotent stem cell (iPSC)-derived brain cells.