Kim M. Dalton

Amygdala Surface Modeling with Weighted Spherical Harmonics (2009)

Moo K. Chung, M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth Pollak, Richard J. Davidson

Abstract. Although there are numerous publications on amygdala volumetry, so far there has not been many studies on modeling local amygdala surface shape variations in a rigorous framework. This...

Detection of Local Cortical Asymmetry via Discriminant Power Analysis (2009)

Moo K. Chung, Daniel J. Kelley, Kim M. Dalton, Richard J. Davidson

We present a discriminant power analysis framework for localizing the abnormal cortical thickness asymmetry pattern in a clinical group. The proposed framework is based on the recently developed...

Amygdala Surface Modeling with Weighted Spherical Harmonics (2009)

Moo K. Chung, Brendon M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth Pollak, Richardj. Davidson

Abstract. Although there are numerous publications on amygdala volumetry, so far there has not been many studies on modeling local amygdala surface shape variations in a rigorous framework. This...

Autism Eye Gaze Behavior Depends on Functional Amygdala Waisman Center Connectivity with the Superior Temporal Area (2009)

Daniel J. Kelley, Kim M. Dalton, Brendon M. Nacewicz, Tom Johnstone, Moo L. Chung, Terrence R. Oakes, ...

Autism is a neurodevelopmental disorder with impairments in the behavioral, social, and communicative domain. The avoidance of eye contact when viewing human faces is a diagnostic feature of impaired...

Quantifying Cortical Surface Asymmetry via Logistic Discriminant Analysis (2009)

Moo K. Chung, Daniel J. Kelley, Kim M. Dalton, Richard J. Davidon

We present a computational framework for analyzing brain hemispheric asymmetry without any kind of image flipping. In almost all previous literature, to perform brain asymmetry analysis, it was...

Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation (2009)

Moo K. Chung, Kim M. Dalton, Richard J. Davidson

Abstract—We present a new tensor-based morphometric framework that quantifies cortical shape variations using a local area element. The local area element is computed from the Riemannian metric...

Amygdala Surface Modeling with Weighted Spherical Harmonics (2009)

Moo K. Chung, M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth Pollak, Richard J. Davidson

Abstract. Although there are many publications on amygdala volumetry, so far there has been no study on modeling local amygdala surface shape variations in a rigorous framework. This paper present a...

Statistica Sinica 18(2008), ENCODING CORTICAL SURFACE BY SPHERICAL HARMONICS (2009)

Moo K. Chung, Richard Hartley, Kim M. Dalton, Richard J. Davidson

Abstract: There is a lack of a unified statistical modeling framework for cerebral shape asymmetry analysis in the literature. Most previous approaches start with flipping the 3D magnetic resonance...

Detection of Local Cortical Asymmetry via Discriminant Power Analysis (2009)

Moo K. Chung, Daniel J. Kelley, Kim M. Dalton, Richard J. Davidson

We present a discriminant power analysis framework that can be used in localizing the abnormal cortical thickness asymmetry pattern in a clinical group compared with a control group. In our example,...

Amygdala Surface Modeling with Weighted Spherical Harmonics (2009)

Moo K. Chung, M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth Pollak, Richard J. Davidson

Abstract. Although there are many publications on amygdala volumetry, so far there has been no study on modeling local amygdala surface shape variations in a rigorous framework. This paper present a...

Department of Psychology and Psychiatry, (2009)

Moo K. Chung, Kim M. Dalton, Richard J. Davidson

We present a new framework for cortical asymmetry analysis using the weighted spherical harmonic (SPHARM) representation (Chung et al., 2007). The weighted-SPHARM represents cortical surface...

IEEE TRANSACTIONS ON MEDICAL IMAGING 1 Tensor-based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation (2008)

Moo K. Chung, Kim M. Dalton, Richard J. Davidson

Abstract — We present a new tensor-based morphometric framework that quantifies cortical shape variations using a local area element. The local area element is computed from the Riemannian metric...

Waisman Center Autism Eye Gaze Behavior Depends on Functional Amygdala Connectivity with the Superior Temporal Area (2008)

Daniel J. Kelley, Kim M. Dalton, Brendon M. Nacewicz, Tom Johnstone, Moo L. Chung, Terrence R. Oakes, ...

Autism is a neurodevelopmental disorder with impairments in the behavioral, social, and communicative domain. The avoidance of eye contact when viewing human faces is a diagnostic feature of impaired...

Unified Cortical Asymmetry Analysis in Autism via Weighted-SPHARM (2008)

Moo K. Chung, Kim M. Dalton, Richard J. Davidson

We present a new framework for cortical asymmetry analysis using the weighted spherical harmonic (SPHARM) representation (Chung et al., 2007). The weighted-SPHARM represents cortical surface...

Multi-scale Voxel-based Morphometry via Weighted Spherical Harmonic Representation (2008)

Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson

Abstract. Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used in VBM...

Abstract Less White Matter Concentration in Autism: (2007)

Moo K. Chung, Kim M. Dalton, Andrew L. Alex, Richard J. Davidson

Autism is a neurodevelopmental disorder affecting behavioral and social cognition but there is lit-tle understanding about the link between the functional deficit and its underlying neuroanatomy. We...

Encoding neuroanatomical information using weighted spherical harmonic representation (2007)

Moo K. Chung, Kim M. Dalton, Richard J. Davidson

Cortical surfaces can be modeled using the recently developed weighed spherical harmonic (SPHARM) representation. The weighted-SPHARM representation incorporates data smoothing, parametrization and...

Weighted Fourier series representation and its application to quantifying the amount of gray matter (2007)

Of Gray Matter, Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson

representation for cortical surfaces. The WFS representation is a data smoothing technique that provides the explicit smooth functional estimation of unknown cortical boundary as a linear combination...

Multi-scale Voxel-based Morphometry via Weighted Spherical Harmonic Representation (2006)

Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson, Moo K. Chung, Li Shen, ...

Abstract. Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used in VBM...

Tensor-based cortical morphometry via weighted spherical harmonic representation (2006)

Moo K. Chung, Steve Robbins, Kim M. Dalton, Shubing Wang, Alan C. Evans, Richard J. Davidson

We present a new tensor-based morphometric framework that quantifies cortical shape variations using the local area element. The local area element is obtained from the Riemannian metric tensors,...

Unified Cortical Surface Morphometry and Its Application to Quantifying Amount of Gray Matter (2006)

Moo K. Chung, Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson

In quantifying the amount of gray matter in a population, voxelbased morphometry (VBM) and cortical thickness analysis are the two most widely used techniques. There are still many unanswered...

Weighted spherical harmonic representation and its application to cortical analysis (2006)

Steven M. Robbins, Moo K. Chung, Moo K. Chung, Li Shen, Li Shen, Kim M. Dalton, ...

Abstract. We present a novel weighted spherical harmonic (SPHARM) representation of cortical surfaces and its application to a cortical thickness analysis in autism. The weighted-SPHARM is a...

Mapping Brain-Behavior Partial (2005)

Moo K. Chung, Kim M. Dalton, Daniel J. Kelley, Steven M, Alan C. Evans, Richard J. Davidson, ...

This paper presents a streamlined image analysis framework for correlating behavioral measures to anatomical measures on the cortex and detecting the regions of abnormal brain-behavior correlates. We...

Abstract Tensor-based Cortical Morphometry via Weighted Spherical Harmonic Representation (2005)

Moo K. Chung, Steve Robbins, Kim M. Dalton, Shubing Wang, Alan C. Evans, Richard J. Davidson, ...

We present a new tensor-based morphometric framework that quantifies cortical shape variations via the concept of local area element. The local area element is obtained from the Riemannian metric...

Image Segmentation (1994)

Shubing Wang, Moo K. Chung, Kim M. Dalton, Andrew L. Alex, Richard J. Davidson

We explored the possibility of developing an automatic diagnostic tool for detecting autism based on MRI measurements. Since the two previous structural imaging studies [1] [2] strongly suggested...

Affective style and in vivo immune response: Neurobehavioral mechanisms

Rosenkranz, Melissa A., Jackson, Daren C., Dalton, Kim M., Dolski, Isa, Ryff, Carol D., Singer, Burt H., ...

Considerable evidence exists to support an association between psychological states and immune function. However, the mechanisms by which such states are instantiated in the brain and influence the...

Affective style and in vivo immune response: Neurobehavioral mechanisms

Rosenkranz, Melissa A., Jackson, Daren C., Dalton, Kim M., Dolski, Isa, Ryff, Carol D., Singer, Burt H., ...

Considerable evidence exists to support an association between psychological states and immune function. However, the mechanisms by which such states are instantiated in the brain and influence the...