Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia.

Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Research Abstract Details 

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Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Abstract Text:

Anqi Qiu,Laurent Younes,Lei Wang,J Tilak Ratnanather,Sarah K Gillepsie,Gillian Kaplan,John Csernansky,Michael I Miller,

Spatial normalization is a crucial step in assessing patterns of neuroanatomical structure and function associated with health and disease. Errors that occur during spatial normalization can influence hypothesis testing due to the dimensionalities of mapping algorithms and anatomical manifolds (landmarks, curves, surfaces, volumes) used to drive the mapping algorithms. The primary aim of this paper is to improve statistical inference using multiple anatomical manifolds and large deformation diffeomorphic metric mapping (LDDMM) algorithms. We propose that combining information generated by the various manifolds and algorithms improves the reliability of hypothesis testing. We used this unified approach to assess variation in the thickness of the cingulate gyrus in subjects with schizophrenia and healthy comparison subjects. Three different LDDMM algorithms for mapping landmarks, curves and triangulated meshes were used to transform thickness maps of the cingulate surfaces into an atlas coordinate system. We then tested for group differences by combining the information from the three types of anatomical manifolds and LDDMM mapping algorithms. The unified approach provided reliable statistical results and eliminated ambiguous results due to surface mismatches. Subjects with schizophrenia had non-uniform cortical thinning over the left and right cingulate gyri, especially in the anterior portion, as compared to healthy comparison subjects.

Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Publishing Authors By Initials

A Qiu,L Younes,L Wang,JT Ratnanather,SK Gillepsie,G Kaplan,J Csernansky,MI Miller,

For similar diagnosis: diagnostic techniques and procedures: diagnostic imaging: subtraction technique research abstracts see: diagnosis: diagnostic techniques and procedures: diagnostic imaging: subtraction technique research

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Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: NeuroImage

VOLUME: 37

Page Numbers: 821-33

Journal Abbreviation: Neuroimage

ISSN: 1053-8119

DAY: 18

MONTH: 05

YEAR: 2007

Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Information

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LANGUAGE: eng

NlmUniqueID: 9215515

Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia. Keywords Mesh Terms:

KEYWORDS: Subtraction Technique

MESH TERMS: pathology

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Grant and Affiliation Information for Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia.

AFFILIATION: Division of Bioengineering, National University of Singapore, Singapore 117576. anqi@cis.jhu.edu

Country: United States

AGENCY: United States NIMH

GRANT: R01 MH56584

ACRONYM: MH

MEDLINETA: Neuroimage

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