lateralized change of ventricular shape in monozygotic twins discordant for schizophrenia

1
Lateralized change of ventricular shape in monozygotic twins discordant for schizophrenia 2 M Styner, 1,2 G Gerig, 3 DW Jones, 3 DR Weinberger, 1 JA Lieberman Dept. of 1 Psychiatry and 2 Computer Science University of North Carolina, Chapel Hill, NC 27614, USA 3 National Institute of Health, Bethesda, MD [email protected] / http://www.cs.unc.edu/~gerig February 2002 ABSTRACT Enlarged ventricular size and/or asymmetry have been found markers for psychiatric illness, including schizophrenia. We studied ventricular size and shape in volumetric MRI (N=2*30) of dizygotic twin pairs (DZ, N=2*10), monozygotic normal twin pairs (MZ, N=2*10), and monozygotic twin pairs discordant for schizophrenia (DS, N=2*10). Left and right ventricles were segmented from high resolution T1 SPGR MRI using automatic, atlas-based voxel labeling and 3D connectivity analysis. Surfaces of segmented lateral ventricles were parametrized using spherical harmonics (SPHARM) and spatially aligned based on the intrinsic coordinate frame of a coarse-scale shape description. Pairwise shape difference was measured as the mean squared distance (MSD) between corresponding surface points. Statistical analysis for group differences between normal MZ, discordant MZ (DS) and DZ using both, absolute volumes and relative volume difference within twin pairs, was not significant. Shape analysis within pairs, after scaling for individual volumes, revealed a strong shape similarity for left and right ventricles in normal MZ but also discordant DS pairs, which was significantly different from DZ pairs. DS pairs showed very small shape differences very similar to MZ, suggesting no change due to disease and strong pairwise shape similarity due to genetics. Our results indicate that shape analysis based on individual surface parameterization is a very sensitive technique to study subtle shape alterations. Quantitative morphologic assessment of individual brain structures in neuroimaging most often includes segmentation followed by volume measurements. Volumes and volume changes are intuitive features as they might explain atrophy or dilation of structures due to illness. On the other hand, subtle, well localized structural changes are not sufficiently reflected in global volume measurements. Development of new methods for three-dimensional shape analysis aims at tackling this issue and promises better sensitivity to subtle deformations. Shape analysis applied to twin studies offers the possibility to systematically study shape variability, both in healthy subjects and subjects discordant for disease, w.r.t. genetic difference. PROBLEM RESULTS Locality: Average of local twin pair shape difference • MZ: Right ventricle between pairs more similar than left ventricle. • DS: Dissimilarity between pairs slightly larger than MZ but significantly smaller than DZ and NR. • DZ: Dissimilarity much larger than MZ and DS, but equivalent to NR. • Analysis of volumes and volume differences: In general large volume variability and differences in all groups, but no significant differences between groups. • Pairwise shape differences after volume normalization: MZ DS < DZ = NR. • Using pairwise shape differences, MZ and DS are not significantly different. • Shape analysis adds information/sensitivity not provided by volume analysis. CONCLUSIONS Locality: Local group tests of pairwise differences Llateral ventricle shapes after volume normalization . Ventricles of 10 DS twin pairs (left) and 5 MZ and 5 DZ pairs (right) are shown side by side. Volume Analysis L R Ventricle shape differences between twin pairs for MZ, DS, DZ and NR groups. Shape difference metric: Mean square difference (MSD) between object surfaces. Global Shape Analysis Relative ventricle volume differences between twin pairs (|T1-T2|/(T1+T2)) for the MZ, DS, DZ and NR groups. Mean difference tests were not significant between all the groups. METHODS The T1w high resolution MR image data are processed by automatic brain tissue segmentation followed by shape parameterization. References: [1] A. Kelemen, G. Székely, and G. Gerig, „Three-dimensional Model-based Segmentation“, IEEE Transactions on Medical Imaging (IEEE TMI), 18(10):828-839, Oct 1999 [2] A. Bartley, D. Jones, and D. Weinberger, “Genetic variability of human brain size and cortical patterns”,Brain, vol. 120, pp. 257–269, 1997. [3] G. Gerig, M. Styner, D. Jones, D. Weinberger, and J. Lieberman, “Shape Analysis of brain ventricles using SPHARM”, in: Proc. Workshop on Math. Methods in Biomed. Image Analysis MMBIA 2001, IEEE Comp Soc, pp. 171-178, Dec. 2001 Automatic, atlas-based 3D voxel segmentation technique. Segmentation of lateral ventricles by manually guided 3D connectivity. ) , ( ) , ( 0 K k k k m m k m k Y c r MZ DZ Twin A Twin B Twin A Twin B Parametrizati on of object surfaces using 3D Fourier harmonics (SPHARM. [1,3]). Spatial alignment of structures by Procrustes fit of sets of homologous surface points. Size normalization by individual volumes. Pairwise shape difference: Mean square difference Hierarchical surface parameterization by SPHARM 1 10 3 6 Parameterized object surfaces showing correspondences. Subjects and image data Subjects: Image data provided by D. Weinberger, NIMH, Bethesda [2]: MZ: 10 healthy monozygotic twin pairs (N=2*10) DS: 10 MZ twin pairs discordant for schizophrenia (N=2*10) DZ: 10 dizygotic twin pairs, all healthy controls (N=2*10) NR: Selection of unrelated, healthy subject pairs with best possible match of age and gender (N=2*10) Image data: Gradient-echo T1w (256x256x128, 240mm FOV, 1.5mm slice distance) M Z:C orrelation T w in P air Volum es 0 5000 10000 15000 20000 0 5000 10000 15000 20000 V olum e Tw in 1 (m m 3) Volum e Tw in 2 (m m 3) LeftMZ RightM Z Linear(LeftMZ) Linear(RightMZ) D S :C orrelation T w in P air Volum es 0 10000 20000 30000 40000 50000 60000 0 5000 10000 15000 20000 V olum e Tw in 1 (m m 3) Volum e Tw in 2 (m m 3) LeftD S R ightDS Linear(LeftDS ) Linear(R ightD S) N R :C orrelation T w in P air Volum es 0 5000 10000 15000 20000 0 5000 10000 15000 20000 V olum e Tw in 1 (m m 3) Volum e Tw in 2 (m m 3) LeftNR R ightNR Linear(LeftN R) Linear(R ightNR ) Absolute volumes (top) and pairwise correlation of ventricle volumes (right). C orrelation Left R ight MZ 0.638693 0.519668 DZ 0.712383 0.676592 DS 0.364622 0.31166 NR -0.06741 -0.05792 Left R ight M Z-DS 0.678 0.767 M Z-DZ 0.115 0.007 M Z-NR 0.017 0.010 DS -D Z 0.039 0.015 DS -N R 0.004 0.018 DZ-N R 0.315 0.906 bold:significantat5% level Group differences of pairwise shape similarity (p- values) MZ DZ DS V olu m es LeftV e ntricle s 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 0 1 2 3 4 5 G ro u p s LeftN R LeftM Z LeftD Z LeftD S V o lum e s R ig ht V entricle s 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 0 1 2 3 4 5 G roups RightN R RightM Z RightD Z RightD S Left MZDS MZNR DSNR MZDZ Right DSDZ DZNR Left DS DZ NR MZ Right • MZDS: No locality of subtle differences between pairwise shape dissimilarity. • DZNR: No locality of strong differences between pairwise shape dissimilarity. • MZDZ: Lateralization of locations of significant differences.

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MZDZ. DSNR. DSDZ. DZNR. MZNR. MZDS. MZ. DS. DZ. NR. Left. Left. Right. Right. MZ. DS. DZ. 1. 3. 6. 10. Subjects and image data. Subjects : Image data provided by D. Weinberger, NIMH, Bethesda [2]: MZ : 10 healthy monozygotic twin pairs (N=2*10) - PowerPoint PPT Presentation

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Page 1: Lateralized change of ventricular shape in monozygotic twins discordant for schizophrenia

Lateralized change of ventricular shape in monozygotic twins

discordant for schizophrenia 2M Styner, 1,2G Gerig, 3DW Jones, 3DR Weinberger,

1JA Lieberman Dept. of 1Psychiatry and 2Computer Science

University of North Carolina, Chapel Hill,NC 27614, USA

3 National Institute of Health, Bethesda, [email protected] / http://www.cs.unc.edu/~gerig

February 2002

ABSTRACTEnlarged ventricular size and/or asymmetry have been found markers for psychiatric illness, including schizophrenia. We studied ventricular size and shape in volumetric MRI (N=2*30) of dizygotic twin pairs (DZ, N=2*10), monozygotic normal twin pairs (MZ, N=2*10), and monozygotic twin pairs discordant for schizophrenia (DS, N=2*10). Left and right ventricles were segmented from high resolution T1 SPGR MRI using automatic, atlas-based voxel labeling and 3D connectivity analysis. Surfaces of segmented lateral ventricles were parametrized using spherical harmonics (SPHARM) and spatially aligned based on the intrinsic coordinate frame of a coarse-scale shape description. Pairwise shape difference was measured as the mean squared distance (MSD) between corresponding surface points. Statistical analysis for group differences between normal MZ, discordant MZ (DS) and DZ using both, absolute volumes and relative volume difference within twin pairs, was not significant. Shape analysis within pairs, after scaling for individual volumes, revealed a strong shape similarity for left and right ventricles in normal MZ but also discordant DS pairs, which was significantly different from DZ pairs. DS pairs showed very small shape differences very similar to MZ, suggesting no change due to disease and strong pairwise shape similarity due to genetics. Our results indicate that shape analysis based on individual surface parameterization is a very sensitive technique to study subtle shape alterations.

Quantitative morphologic assessment of individual brain structures inneuroimaging most often includes segmentation followed by volumemeasurements. Volumes and volume changes are intuitive features as they might explain atrophy or dilation of structures due to illness. On the other hand, subtle, well localized structural changes are not sufficiently reflected in global volume measurements. Development of new methods for three-dimensional shape analysis aims at tackling this issue and promises better sensitivity to subtle deformations. Shape analysis applied to twin studies offers the possibility to systematically study shape variability, both in healthy subjects and subjects discordant for disease, w.r.t. genetic difference.

PROBLEM

RESULTS

Locality: Average of local twin pair shape difference

• MZ: Right ventricle between pairs more similar than left ventricle.• DS: Dissimilarity between pairs slightly larger than MZ but significantly smaller than

DZ and NR.• DZ: Dissimilarity much larger than MZ and DS, but equivalent to NR.

• Analysis of volumes and volume differences: In general large volume variability and differences in all groups, but no significant differences between groups.

• Pairwise shape differences after volume normalization: MZ DS < DZ = NR. • Using pairwise shape differences, MZ and DS are not significantly different.• Shape analysis adds information/sensitivity not provided by volume analysis.

CONCLUSIONS

Locality: Local group tests of pairwise differences

Llateral ventricle shapes after volume normalization. Ventricles of 10 DS twin pairs (left) and 5 MZ and 5 DZ pairs (right) are shown side by side.

Volume Analysis

L R

Ventricle shape differences between twin pairs for MZ, DS, DZ and NR groups. Shape difference metric: Mean square difference (MSD) between object surfaces.

Global Shape Analysis

Relative ventricle volume differences between twin pairs (|T1-T2|/(T1+T2)) for the MZ, DS, DZ and NR groups. Mean difference tests were not significant between all the groups.

METHODS

The T1w high resolution MR image data are processed by automatic brain tissue segmentation followed by shape parameterization.

References: [1] A. Kelemen, G. Székely, and G. Gerig, „Three-dimensional Model-based Segmentation“, IEEE Transactions on Medical

Imaging (IEEE TMI), 18(10):828-839, Oct 1999[2] A. Bartley, D. Jones, and D. Weinberger, “Genetic variability of human brain size and cortical patterns”,Brain, vol. 120, pp.

257–269, 1997.[3] G. Gerig, M. Styner, D. Jones, D. Weinberger, and J. Lieberman, “Shape Analysis of brain ventricles using SPHARM”, in:

Proc. Workshop on Math. Methods in Biomed. Image Analysis MMBIA 2001, IEEE Comp Soc, pp. 171-178, Dec. 2001

Automatic, atlas-based 3D voxel segmentation technique.

Segmentation of lateral ventricles by manually guided 3D connectivity.

),(),(0

K

k

k

km

mk

mk Ycr

MZ

DZ

Twin A

Twin B

Twin A

Twin B

Parametrization of object surfaces using 3D Fourier harmonics (SPHARM. [1,3]).

Spatial alignment of structures by Procrustes fit of sets of homologous surface points.

Size normalization by individual volumes.

Pairwise shape difference: Mean square difference between surfaces (MSD). Hierarchical surface

parameterization by SPHARM

1

10

3

6

Parameterized object surfaces showing correspondences.

Subjects and image data

•Subjects: Image data provided by D. Weinberger, NIMH, Bethesda [2]:• MZ: 10 healthy monozygotic twin pairs (N=2*10)• DS: 10 MZ twin pairs discordant for schizophrenia (N=2*10)• DZ: 10 dizygotic twin pairs, all healthy controls (N=2*10)• NR: Selection of unrelated, healthy subject pairs with best possible match

of age and gender (N=2*10)•Image data: Gradient-echo T1w (256x256x128, 240mm FOV, 1.5mm slice distance)

MZ: Correlation Twin Pair Volumes

0

5000

10000

15000

20000

0 5000 10000 15000 20000

Volume Twin 1 (mm3)

Vol

ume

Twin

2 (m

m3)

Left MZRight MZLinear (Left MZ)

Linear (Right MZ)

DS: Correlation Twin Pair Volumes

0

10000

20000

30000

40000

50000

60000

0 5000 10000 15000 20000

Volume Twin 1 (mm3)

Vol

ume

Twin

2 (m

m3)

Left DS

Right DS

Linear (Left DS)

Linear (Right DS)

NR: Correlation Twin Pair Volumes

0

5000

10000

15000

20000

0 5000 10000 15000 20000

Volume Twin 1 (mm3)

Vol

ume

Twin

2 (m

m3)

Left NR

Right NR

Linear (Left NR)Linear (Right NR)

Absolute volumes (top) and pairwise correlation of ventricle volumes (right).

CorrelationLeft Right

MZ 0.638693 0.519668DZ 0.712383 0.676592DS 0.364622 0.31166NR -0.06741 -0.05792

Left RightMZ-DS 0.678 0.767MZ-DZ 0.115 0.007MZ-NR 0.017 0.010DS-DZ 0.039 0.015DS-NR 0.004 0.018DZ-NR 0.315 0.906bold: significant at 5% level

Group differences of pairwise shape similarity (p-values)

MZ

DZ

DS

Volum es Left Ventricles

02000400060008000

100001200014000160001800020000

0 1 2 3 4 5

Groups

Left NRLeft MZLeft DZLeft DS

Volum es Right Ventricles

02000400060008000

100001200014000160001800020000

0 1 2 3 4 5

Groups

Right NRRight MZRight DZRight DS

Left

MZDS MZNR DSNRMZDZ

Right

DSDZ DZNR

Left

DS DZ NRMZ

Right

• MZDS: No locality of subtle differences between pairwise shape dissimilarity.• DZNR: No locality of strong differences between pairwise shape dissimilarity.• MZDZ: Lateralization of locations of significant differences.