From structure to function: leveraging embedded multimodal imaging to explore brain connectivity

smoia
@SteMoia
s.moia.research@gmail.com

Maastricht, 31.10.2024

Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands;    physiopy (https://github.com/physiopy)

Stefano Moia, 2024

From structure to function: leveraging embedded multimodal imaging to explore brain connectivity

Maastricht, 31.10.2024

Blood Oxygen Level Dependent (BOLD) signal

Image courtesy of Dimo Ivanov

BOLD signal: "Functional Networks"

Biswal et al., 1995 (Magn. Reson. Med.)

r(X, Y) = \frac{\text{cov}(X, Y)}{\sigma_X \sigma_Y}

Pearson correlation:

Whole brain functional connectivity

Huang et al., 2018 (Proc. IEEE)

From timeseries to graphs

x1

x2

x3

x8

...

t
y
t=1
x1=y1

From timeseries to graphs

x1

x2

x3

x8

...

t
y
t=2
x2=y1

From timeseries to graphs

x1

x2

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x8

...

t
y
t=3
x3=y1

From timeseries to graphs

x1

x2

x3

x8

...

x1

x2

x3

x8

...

x1

x2

x3

x8

...

From timeseries to graphs

x1

x2

x3

x8

...

x1

x2

x3

x8

...

x1

x2

x3

...

x8

t=1
x1=y1

From timeseries to graphs

x1

x2

x3

x8

...

x1

x2

x3

x8

...

x1

x2

x3

...

x8

t=2
x2=y1=x1_{t1}

From timeseries to graphs

x1

x2

x3

x8

...

x1

x2

x3

x8

...

x1

x2

x3

...

x8

t=3
x3=y1=x2_{t2}
x_{k_{t}}=\sum x_{j_{t-1}}

Graph Signal Processing

Ortega 2022 (Introduction to Graph signal Processing)

Preti et al. (2019) Nat. Commun.;  Huang et al. (2018) Proc. IEEE

Graph Signal Processing: Filtering

Decomposition
to access
"graph" spectral domain

NiGSP is an open development (python) toolbox to apply
Graph Signal Processing on neuroimaging data

It offers a set of function for filter creations, filtering, visualisation,
and metrics computations

Applying Graph Signal Processing: NiGSP

Moia et al. (2023) Zenodo

Preti et al. (2019) Nat. Commun.; Griffa et al. (2022) Neuroimage;  Forrer et al. (2024) Biol. Psychiatry

pip install nigsp[all]

nigsp -f timeseries.nii.gz -s sc_mtx.tsv -a atlas.nii.gz --informed-surrogates -n 1000

Moia et al. (2023) Zenodo; based on Preti, Van De Ville (2019) Nat. Commun. and Griffa et al. (2022) Neuroimage

Applying Graph Signal Processing: NiGSP

Sneak peak

BOLD

Neuronal
fluctuations

Physiological
fluctuations

Disentangling fluctuations with GSP

Thanks to...

That's all folks!

smoia
@SteMoia
s.moia.research@gmail.com

...you for the (sustained) attention!

...the MR-methods group @UM

Part of this research is supported by the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101109770

Stefano Moia, 2024

Find the presentation at:

slides.com/ephraim24/mbic-multimodal-connectivity/scroll

...the MIP:Lab @ EPFL

Any question [/opinions/objections/...]?

From structure to function: leveraging embedded multimodal imaging to explore brain connectivity

By Stefano Moia

From structure to function: leveraging embedded multimodal imaging to explore brain connectivity

CC-BY 4.0 Stefano Moia, 2024. Images are property of the original authors and should be shared following their respective licences. This presentation is otherwise licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/

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