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Cited by 169

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Function-based Intersubject Alignment of Human Cortical Anatomy

Open access
Sabuncu, Mert R., Singer, Benjamin D., Conroy, Bryan, Bryan, Ronald E., Ramadge, Peter J., Haxby, James V.·2010·Cerebral Cortex

Abstract

Making conclusions about the functional neuroanatomical organization of the human brain requires methods for relating the functional anatomy of an individual's brain to population variability. We have developed a method for aligning the functional neuroanatomy of individual brains based on the patterns of neural activity that are elicited by viewing a movie. Instead of basing alignment on functionally defined areas, whose location is defined as the center of mass or the local maximum response, the alignment is based on patterns of response as they are distributed spatially both within and across cortical areas. The method is implemented in the two-dimensional manifold of an inflated, spherical cortical surface. The method, although developed using movie data, generalizes successfully to data obtained with another cognitive activation paradigm--viewing static images of objects and faces--and improves group statistics in that experiment as measured by a standard general linear model (GLM) analysis.

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Metadata

Authors
Sabuncu, M. R., Singer, B. D., Conroy, B., Bryan, R. E., Ramadge, P. J., & Haxby, J. V.
Venue
Cerebral Cortex
Published
2009-05-06
Volume
20
Issue
1
Pages
130-140
ISSN
  • 1047-3211 (ISSN-L)
  • 1460-2199
OpenAlex
W2112658882
Cited by
169
References
9
FWCI
5.33
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Function-based Intersubject Alignment of Human Cortical Anatomy. https://app.cochat.ai/papers/10.1093/cercor/bhp085
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Sabuncu, M. R., Singer, B. D., Conroy, B., Bryan, R. E., Ramadge, P. J., & Haxby, J. V. (2010). Function-based Intersubject Alignment of Human Cortical Anatomy. Cerebral Cortex. https://doi.org/10.1093/cercor/bhp085

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.