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Whole brain hyperalignment : inter-subject hyperalignment of local representational spaces / by Jyothi Swaroop Guntupalli.

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Author	Guntupalli, Jyothi Swaroop.
Title	Whole brain hyperalignment : inter-subject hyperalignment of local representational spaces / by Jyothi Swaroop Guntupalli.
Date	2013
Abstract	Functional magnetic resonance imaging (fMRI) is an important tool for understanding neural mechanisms underlying human brain function. Most fMRI studies use limited sets of well-controlled stimuli to understand neural systems in isolation. The human brain, however is a highly connected system for experiencing a complex natural environment. Understanding how the human brain responds to natural stimuli and how different cortical regions represent the information in natural stimuli and if these representational spaces are shared across-brains is critical for our understanding of how the brain works. Recent fMRI studies using passive viewing of movies showed reliable univariate response activity between subjects in a large expanse of cortex. We developed a functional alignment method called hyperalignment that aligns a brain region's representational spaces across subjects and builds a common model of representational space. Hyperalignment exploits the rich stimulation provided by the movie and the sensitivity of multivariate pattern analysis (MVPA) in detecting this stimulus information encoded in cortical response to derive a functional alignment. We successfully demonstrated its validity in the ventral temporal cortex by aligning fine-scale information patterns across subjects and its generalizability across studies. The objective of this dissertation was to extend this work to the whole brain by performing whole brain hyperalignment to build common models of local representational spaces across subjects, to demonstrate the validity of hyperalignment in the auditory domain, and to demonstrate the ability of hyperalignment in facilitating common stimulus reconstruction models. We acquired fMRI data during naturalistic stimulation - a full length feature film and developed a method to build common models of representational spaces across the whole brain that generalize across-studies and across-subjects. We validated the generalization of common model spaces successfully at three levels of information representati
Description	ix, 120 leaves : ill. (some col.) 28 cm.
Format	application/pdf
Advisor	James V. Haxby, Howard C. Hughes, Ming Meng, Nikolaus Kriegeskorte
College	Dartmouth College. Department of Psychological and Brain Sciences.
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Copyright	All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means without permission in writing from the author.
DOI	http://dx.doi.org/10.1349/ddlp.964

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Whole brain hyperalignment : inter-subject hyperalignment of local representational spaces / by Jyothi Swaroop Guntupalli.

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