fMRI is a unique non-invasive approach for understanding the functional organization of the human brain, and task based fMRI promotes identification of functionally relevant brain regions associated with a given task. Here, we use fMRI (using the Poffenberger Paradigm) data collected in mono- and dizygotic twin pairs to propose a novel approach for assessing similarity in functional networks. In particular, we compared network similarity between pairs of twins in task-relevant and task-orthogonal networks. The proposed method measures the similarity between functional networks using a geodesic distance between graph Laplacian. With method we show that networks are more similar in monozygotic twins compared to dizygotic twins. Furthermore, the similarity in monozygotic twins is higher for task-relevant, than task-orthogonal networks.

Comparison of brain connectomes using geodesic distance on manifold: A twins study / A. Yamin, M. Dayan, L. Squarcina, P. Brambilla, V. Murino, V. Diwadkar, D. Sona (PROCEEDINGS INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING). - In: ISBI 2019[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2019. - ISBN 9781538636411. - pp. 1797-1800 (( Intervento presentato al 16. convegno International Symposium on Biomedical Imaging : April 8-11 tenutosi a Venezia nel 2019 [10.1109/ISBI.2019.8759407].

Comparison of brain connectomes using geodesic distance on manifold: A twins study

L. Squarcina;P. Brambilla;
2019

Abstract

fMRI is a unique non-invasive approach for understanding the functional organization of the human brain, and task based fMRI promotes identification of functionally relevant brain regions associated with a given task. Here, we use fMRI (using the Poffenberger Paradigm) data collected in mono- and dizygotic twin pairs to propose a novel approach for assessing similarity in functional networks. In particular, we compared network similarity between pairs of twins in task-relevant and task-orthogonal networks. The proposed method measures the similarity between functional networks using a geodesic distance between graph Laplacian. With method we show that networks are more similar in monozygotic twins compared to dizygotic twins. Furthermore, the similarity in monozygotic twins is higher for task-relevant, than task-orthogonal networks.
English
Connectomes; task-based fMRI; graph Laplacian; geodesic distance; twins
Settore MED/25 - Psichiatria
Intervento a convegno
Esperti anonimi
Pubblicazione scientifica
ISBI 2019
Institute of Electrical and Electronics Engineers (IEEE)
2019
1797
1800
4
9781538636411
2019
Volume a diffusione internazionale
No
International Symposium on Biomedical Imaging : April 8-11
Venezia
2019
16
Institute of Electrical and Electronics Engineers (IEEE)
Convegno internazionale
wos
crossref
Aderisco
A. Yamin, M. Dayan, L. Squarcina, P. Brambilla, V. Murino, V. Diwadkar, D. Sona
Book Part (author)
reserved
273
Comparison of brain connectomes using geodesic distance on manifold: A twins study / A. Yamin, M. Dayan, L. Squarcina, P. Brambilla, V. Murino, V. Diwadkar, D. Sona (PROCEEDINGS INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING). - In: ISBI 2019[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2019. - ISBN 9781538636411. - pp. 1797-1800 (( Intervento presentato al 16. convegno International Symposium on Biomedical Imaging : April 8-11 tenutosi a Venezia nel 2019 [10.1109/ISBI.2019.8759407].
info:eu-repo/semantics/bookPart
7
Prodotti della ricerca::03 - Contributo in volume
File in questo prodotto:
File Dimensione Formato  
Comparison_Of_Brain_Connectomes_Using_Geodesic_Distance_On_Manifold_A_Twins_Study.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 460.59 kB
Formato Adobe PDF
460.59 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1047205
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 12
  • OpenAlex ND
social impact