fMRI-based inter-subject cortical alignment using functional connectivity

Bryan R. Conroy; Benjamin D. Singer; James V. Haxby; Peter Jeffrey Ramadge

fMRI-based inter-subject cortical alignment using functional connectivity

Bryan R. Conroy, Benjamin D. Singer, James V. Haxby, Peter Jeffrey Ramadge

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
Pages	378-386
Number of pages	9
State	Published - Dec 1 2009
Externally published	Yes
Event	23rd Annual Conference on Neural Information Processing Systems, NIPS 2009 - Vancouver, BC, Canada Duration: Dec 7 2009 → Dec 10 2009

Other

Other	23rd Annual Conference on Neural Information Processing Systems, NIPS 2009
Country/Territory	Canada
City	Vancouver, BC
Period	12/7/09 → 12/10/09

All Science Journal Classification (ASJC) codes

Information Systems

Cite this

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title = "fMRI-based inter-subject cortical alignment using functional connectivity",

abstract = "The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.",

author = "Conroy, {Bryan R.} and Singer, {Benjamin D.} and Haxby, {James V.} and Ramadge, {Peter Jeffrey}",

year = "2009",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781615679119",

pages = "378--386",

booktitle = "Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference",

note = "23rd Annual Conference on Neural Information Processing Systems, NIPS 2009 ; Conference date: 07-12-2009 Through 10-12-2009",

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T1 - fMRI-based inter-subject cortical alignment using functional connectivity

AU - Conroy, Bryan R.

AU - Singer, Benjamin D.

AU - Haxby, James V.

AU - Ramadge, Peter Jeffrey

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.

AB - The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.

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UR - http://www.scopus.com/inward/citedby.url?scp=84858721963&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84858721963

SN - 9781615679119

SP - 378

EP - 386

BT - Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

T2 - 23rd Annual Conference on Neural Information Processing Systems, NIPS 2009

Y2 - 7 December 2009 through 10 December 2009

ER -

fMRI-based inter-subject cortical alignment using functional connectivity

Abstract

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All Science Journal Classification (ASJC) codes

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