Structural and functional brain connectivity using multimodal MRI

a) b)

Structural and functional connectivity assessed with magnetic resonance imaging (MRI) [ as part of BMED360 ]

Image-derived information from a multi-modal MRI examination of a healthy volunteer in the study of “cognitive aging”, obtained automatically with different freely-available image processing and analysis tools. Coregistration (spatial alignment) of the different modalities was implemented in MATLAB.

In a) a T1-weighted anatomical 3-D image is superimposed with: (i) an anatomical region (left thalamus) segmented with FreeSurfer; (ii) spatial components of resting state networks (RSNs) derived from independent component analysis (ICA) analysis of the functional BOLD fMRI recordings; (iii) white matter fiber tracts (blue) between these regions of interest. Yellow “blob” represents the ventromedial prefrontal cortex (VMPFC) component of the default mode network (DMN) defined by IC-3. The "blob" in pink represents the spatial intersection between anatomical thalamus and the RSN defined by IC-26. In b) the lower and upper traces show the corresponding time courses (256 frames; TR= 2 s) of the resting state components. Lower trace is IC-3 (DMN). Upper trace is IC-26 located in the central thalamic region (not part of the DMN). The left insert shows histogram of the diffusion tensor fractional anisotropy (FA) values, reflecting "white matter integrity" of the fiber tracts and structural connectivity between the two brain regions (right insert). Functional connectivity is measured by cross-correlation between time courses IC-3 and IC-26. More detailed description of this processing machinery is given in Hodneland et al. (2012) [PDF].

[See also Lundervold A. On consciousness, resting state fMRI, and neurodynamics. Nonlinear Biomedical Physics 2010,4(Suppl 1):S9 doi:10.1186/1753-4631-4-S1-S9 ]

Data: Anatomy1.nii.gz, Anatomy2.nii,gz, DWI.nii.gz, bvec.dat, bval.dat, Resting.nii.gz, Fingertapping.nii.gz;

FreeSurfer (5.3.0) processed anatomy data: subjects.tgz (575 MB !)

Contributions from: Martin Ystad, Tom Eichele, Erlend Hodneland, Judit Haasz, and Arvid Lundervold

Complete MRI data sets (wave1, wave2, wave3) in one subject can be found here [in NIFTI]

Let us know [and be acknowledged] if you download and use these data for publication.

See also: In vivo imaging and physiological modelling - BMED360 and BMED360x

Last updated: Arvid Lundervold 04-MAY-2016