Comparing Structural Brain Connectivity by the Infinite Relational Model

Karen Marie Sandø Ambrosen; Tue Herlau; Tim Dyrby; Mikkel Nørgaard Schmidt; Morten Mørup

doi:10.1109/PRNI.2013.22

Comparing Structural Brain Connectivity by the Infinite Relational Model

Karen Marie Sandø Ambrosen, Tue Herlau, Tim Dyrby, Mikkel Nørgaard Schmidt, Morten Mørup

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The growing focus in neuroimaging on analyzing brain connectivity calls for powerful and reliable statistical modeling tools. We examine the Infinite Relational Model (IRM) as a tool to identify and compare structure in brain connectivity graphs by contrasting its performance on graphs from the same subject versus graphs from different subjects. The inferred structure is most consistent between graphs from the same subject, however, the model is able to predict links in graphs from different subjects on par with results within a subject. The framework proposed can be used as a statistical modeling tool for the identification of structure and quantification of similarity in graphs of brain connectivity in general.

Original language	English
Title of host publication	2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI)
Publisher	IEEE
Publication date	2013
Pages	50-53
ISBN (Print)	978-0-7695-5061-9
DOIs	https://doi.org/10.1109/PRNI.2013.22
Publication status	Published - 2013
Event	3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013) - Philadelphia, PA, United States Duration: 22 Jun 2013 → 24 Jun 2013 http://www.prni.org/

Conference

Conference	3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013)
Country/Territory	United States
City	Philadelphia, PA
Period	22/06/2013 → 24/06/2013
Internet address	http://www.prni.org/

Access to Document

10.1109/PRNI.2013.22

SFX availability

Full text

Cite this

@inproceedings{6933ff4a146c4cd9a075ea9b2deb33ea,

title = "Comparing Structural Brain Connectivity by the Infinite Relational Model",

abstract = "The growing focus in neuroimaging on analyzing brain connectivity calls for powerful and reliable statistical modeling tools. We examine the Infinite Relational Model (IRM) as a tool to identify and compare structure in brain connectivity graphs by contrasting its performance on graphs from the same subject versus graphs from different subjects. The inferred structure is most consistent between graphs from the same subject, however, the model is able to predict links in graphs from different subjects on par with results within a subject. The framework proposed can be used as a statistical modeling tool for the identification of structure and quantification of similarity in graphs of brain connectivity in general.",

author = "Ambrosen, {Karen Marie Sand{\o}} and Tue Herlau and Tim Dyrby and Schmidt, {Mikkel N{\o}rgaard} and Morten M{\o}rup",

year = "2013",

doi = "10.1109/PRNI.2013.22",

language = "English",

isbn = "978-0-7695-5061-9",

pages = "50--53",

booktitle = "2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI)",

publisher = "IEEE",

address = "United States",

note = "3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013) ; Conference date: 22-06-2013 Through 24-06-2013",

url = "http://www.prni.org/",

}

Ambrosen, KMS, Herlau, T, Dyrby, T, Schmidt, MN & Mørup, M 2013, Comparing Structural Brain Connectivity by the Infinite Relational Model. in 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, pp. 50-53, 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013), Philadelphia, PA, United States, 22/06/2013. https://doi.org/10.1109/PRNI.2013.22

Comparing Structural Brain Connectivity by the Infinite Relational Model. / Ambrosen, Karen Marie Sandø; Herlau, Tue; Dyrby, Tim; Schmidt, Mikkel Nørgaard ; Mørup, Morten.

2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2013. p. 50-53.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Comparing Structural Brain Connectivity by the Infinite Relational Model

AU - Ambrosen, Karen Marie Sandø

AU - Herlau, Tue

AU - Dyrby, Tim

AU - Schmidt, Mikkel Nørgaard

AU - Mørup, Morten

PY - 2013

Y1 - 2013

N2 - The growing focus in neuroimaging on analyzing brain connectivity calls for powerful and reliable statistical modeling tools. We examine the Infinite Relational Model (IRM) as a tool to identify and compare structure in brain connectivity graphs by contrasting its performance on graphs from the same subject versus graphs from different subjects. The inferred structure is most consistent between graphs from the same subject, however, the model is able to predict links in graphs from different subjects on par with results within a subject. The framework proposed can be used as a statistical modeling tool for the identification of structure and quantification of similarity in graphs of brain connectivity in general.

AB - The growing focus in neuroimaging on analyzing brain connectivity calls for powerful and reliable statistical modeling tools. We examine the Infinite Relational Model (IRM) as a tool to identify and compare structure in brain connectivity graphs by contrasting its performance on graphs from the same subject versus graphs from different subjects. The inferred structure is most consistent between graphs from the same subject, however, the model is able to predict links in graphs from different subjects on par with results within a subject. The framework proposed can be used as a statistical modeling tool for the identification of structure and quantification of similarity in graphs of brain connectivity in general.

U2 - 10.1109/PRNI.2013.22

DO - 10.1109/PRNI.2013.22

M3 - Article in proceedings

SN - 978-0-7695-5061-9

SP - 50

EP - 53

BT - 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI)

PB - IEEE

T2 - 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013)

Y2 - 22 June 2013 through 24 June 2013

ER -

Comparing Structural Brain Connectivity by the Infinite Relational Model

Abstract

Conference

Access to Document

SFX availability

Fingerprint

Cite this