clinical implication of multimodal neuroimaging
DESCRIPTION
Clinical Implication of Multimodal Neuroimaging. Jungsu S. Oh, Ph.D. Assistant Professor BK21 Division of Human Life Science Seoul National University. On behalf of Jun Soo Kwon, M.D., Ph.D. (Clinical Neuroscience and Computational Neuroscience Unit) - PowerPoint PPT PresentationTRANSCRIPT
Clinical Implication of Clinical Implication of Multimodal NeuroimagingMultimodal Neuroimaging
Jungsu S. Oh, Ph.D. Assistant Professor
BK21 Division of Human Life ScienceSeoul National University
On behalf of Jun Soo Kwon, M.D., Ph.D.(Clinical Neuroscience and Computational Neuroscience Unit)
Professor at BCS, Seoul National University WCU
BackgroundBackground
• Interests in brain function and connectivity have much grown up in recent decades.
• Synergic effects of Multi-modal/Multi-technique Imaging, which is useful– not only for assessing chronic patients– but also for detecting subtle changes in
• Ultra-high-risk (UHR) pathological subjects• Neuro-plasticity groups
Example of “High-risk” groupExample of “High-risk” groupin the course of schizophreniain the course of schizophrenia
Healthy↑
↓Severity of Symptoms
Basic Structures of BrainBasic Structures of Brain
• Gray Matter– Functional activations– Structural imaging– Functional/molecular
imaging
• White Matter (Tracts)– Connecting distinctive
functional regions– Diffusion Tensor MRI
for reconstructing pathway information and estimating quantity/quality of anatomical connectivity
Basic Principle and Properties of Basic Principle and Properties of Diffusion Tensor Imaging (DTI)Diffusion Tensor Imaging (DTI)
• Mean DiffusivityMean Diffusivity (Dm)– Size of tensor– (Degree of tissue microstructure
disruption)
• Fractional AnisotropyFractional Anisotropy (FA)– Sharpness of tensor– Normalized variance of
eigenvalues:0~1– (Degree of fiber integrity)
• ModeMode (Ennis and Kindlmann, MRM, 2006)(Ennis and Kindlmann, MRM, 2006)
– Proximity of tensor shape to a disc– Degree of fiber crossing
• two principal axes – disc shape– Negative Mode
• Crossing fiber tracts: λ1 ≈ λ2 > λ3
>
>
λ1≈ λ2 > λ3
Free Water: Isotropic Diffusion
White Matter Tracts: Anisotropic Diffusion
Tract (Tractography)-Based Tract (Tractography)-Based DTI AnalysisDTI Analysis
• Not only diffusion properties but “connectivity”
• Not only visualization tool but “quantitative analysis tool” of fiber tracts
• Tractography Methods– Most Basic: StreamlineMost Basic: Streamline
• Using principal diffusion direction(e1) only• Euler Integration method
– Tensorline (regularized, using tensor deflection), level set-based tractography (fast marching tractography)
– High-End: Stochastic Tractography and High High-End: Stochastic Tractography and High Angular Resolution Diffusion Imaging (DSI, QBI)Angular Resolution Diffusion Imaging (DSI, QBI)
Quantitative DTI analysis using Brodmann ROI-Quantitative DTI analysis using Brodmann ROI-based parcellation and tract parameterization based parcellation and tract parameterization
(Oh et al., Human Brain Mapping, in press)(Oh et al., Human Brain Mapping, in press)
Shape-based parameterization
(Oh et al., NeuroImage, 2007)(Oh et al., NeuroImage, 2007)
(Oh et al., Unpublished data)
Application in Drug-naïve
OCD patients
Application in UHR Schizophrenia
patients??
((Oh et al., in preparation)Oh et al., in preparation)
Functional imaging-based estimation Functional imaging-based estimation of functional activation and of functional activation and
connectivityconnectivity
(Oh et al., Annual Meeting of (Oh et al., Annual Meeting of Biol Psychiatry 2008)Biol Psychiatry 2008)
Magnetoencephalogram Magnetoencephalogram (MEG)(MEG)
Deficits of early stage of auditory processing in UHRN1m and MMNm dipole moments may represent a vulnerability marker in evaluating the risk of transition to psychotic stage in UHR group.
Decreased desynchronization of alpha rhythm in UHR
Deficits of top-down inhibitory control
N1m MMNm
((Koh et al., Koh et al., Unpublished dataUnpublished data))
Resting-state fMRIResting-state fMRI
(Shin et al., Biol Psychiatry, in press)(Shin et al., Biol Psychiatry, in press)
Synergic Effects of Synergic Effects of Multi-modal/Multi-technique Multi-modal/Multi-technique
ImagingImaging
ITBT
BT NT
*Abbreviations: SZ: Schizophrenia; OCD: Obsessive-Compulsive Disorder
To Better Understand the
Etiology of SZ/ OCD/ …
To Better Detect High-Risk Groups
for SZ/ OCD/ …
Brain Imaging
GeneticsStudy
“Biomarker”
Structure Function
Connectivity
Future Directions of Future Directions of “High Risk” Study“High Risk” Study
Large sample size and longitudinal study
Combinational approach of structural and functional imaging
Effective strategies for the recruitment of high-risk groupsContinuous efforts for the “follow-up” studies
Genetics-neuroimaging integration
Functional imaging-based connectivityFunctional imaging-based connectivity
Structural imaging-based connectivityStructural imaging-based connectivity
PrerequisitesPrerequisites
Temporal activation in fMRI/MEGIntersubject variability of FDG PET
Mostly, DTI tractography-based approachStructural ShapeStructural Shape
Cortical thickness, CC shape, Basal ganglia shape
An exemplary study of neuro-plasticity An exemplary study of neuro-plasticity groups: the Baduk (Go) game expertsgroups: the Baduk (Go) game experts
Working memory task-related fMRIWorking memory task-related fMRI
(Park et al., (Park et al., Unpublished dataUnpublished data))
Voxel-based DTI analysisVoxel-based DTI analysis
(Lee et al., (Lee et al., Unpublished dataUnpublished data))
Integrated Anatomo-Functional Connectivity
ConclusionConclusion• Multimodal neuroimaging including
structural, functional and genetic imaging will add to – finding biomarkers to detect subtle changes in
“high risk” groups– facilliating the development of treatment and
precaution strategies of psychiatric disorders.
• Its application for assessing neuro-plasticity groups (e.g., extraordinary IQ, meditation, Baduk experts) looks promising as well.
Seoul Youth Clinic (SYC)Seoul Youth Clinic (SYC)Brief history of SYCBrief history of SYC Procedures in SYCProcedures in SYC
• Started SYC in 16 June, 2004 • Recruited 103 subjects of CHR/GHR SZ
- 12 subjects : conversion to psychosis
(CHR only) - 18 subjects : drop-up - 73 subjects : follow-up• Mediation: Among the CHR groups, 36
subjects have been taken for antipsychotics.
• Related publications - Potential vulnerability markers within the affective
domain in subjects at genetic and clinical high risk for schizophrenia. Psychopathology. 2008, Apr
- Deficit of theory of mind in individuals at ultra-high-risk for schizophrenia. Schizophr Res. 2008, Feb
- Pre-attentive auditory processing in ultra-high-risk for schizophrenia with magnetoencephalography. Biol Psychiatry, in press