NTNU Det medisinske fakultet White Matter Abnormalities seen on Diffusion Tensor Imaging Relate to Neuroimpairments in VLBW Children at 15 Years of Age.

Slides:



Advertisements
Similar presentations
Corpus Callosum Damage Predicts Disability Progression and Cognitive Dysfunction in Primary-Progressive MS After Five Years.
Advertisements

Neuro-Imaging High Resolution Ex-Vivo MRI Ex-Vivo DTI of Brain Stem
VBM Voxel-based morphometry
Imaging Methods: Gait, Cognition and Mood Richard Camicioli MD University of Alberta Edmonton, Alberta
1 Detecting Subtle Changes in Structure Chris Rorden –Diffusion Tensor Imaging Measuring white matter integrity Tractography and analysis.
Detecting Subtle Changes in Structure
NON-EXPONENTIAL T 2 * DECAY IN WHITE MATTER P. van Gelderen 1, J. A. de Zwart 1, J. Lee 1,3, P. Sati 1, D. S. Reich 1, and J. H. Duyn 1. 1 Advanced MRI.
Methods for Medical Imaging– Prof. G. Baselli 2012 Diffusion weighted MRI and DTI tractography Maria Giulia Preti
Emmanuel A Stamatakis Centre for Speech, Language and the Brain, Department of Experimental Psychology, University of Cambridge School of Psychological.
National Alliance for Medical Image Computing Diffusion Weighted MRI.
Mapping Cortical Development Using Diffusion Tensor Imaging Jeff Neil, MD, PhD Departments of Neurology, Radiology and Pediatrics.
DIFFUSION TENSOR IMAGING
MaxEnt 2007 Saratoga Springs, NY
Diffusion Tensor MRI And Fiber Tacking Presented By: Eng. Inas Yassine.
Stroop Performance in Normal Control Subjects: An fMRI Study S.A. Gruber, J. Rogowska, P. Holcomb, S. Soraci, and D. Yurgelun-Todd.
Anatomy What is the difference between Structural Anatomy and Functional Anatomy? What roles do each play in our understanding of the brain?
Reproducibility of diffusion tractography E Heiervang 1,2, TEJ Behrens 1, CEM Mackay 3, MD Robson 3, H Johansen-Berg 1 1 Centre for Functional MRI of the.
DTI-Based White Matter Fiber Analysis and Visualization Jun Zhang, Ph.D. Laboratory for Computational Medical Imaging & Data Analysis Laboratory for High.
ISMRM 2010 Quantitative Imaging and MS. N. D. Gai and J. A. Butman, NIH T1 Error Analysis for Double Angle Technique and Comparison to Inversion Recovery.
Diffusion Physics H 2 O in the body is always in random motion due to thermal agitation B.M. Ellingson, Ph.D., Dept. of Radiological Sciences, David Geffen.
Extent and Distribution of White Matter Hyperintensities in Normal Aging, Mild Cognitive Impairment and Alzheimer’s Disease Mitsuhiro Yoshita, Evan Fletcher,
The structural organization of the Brain Gray matter: nerve cell bodies (neurons), glial cells, capillaries, and short nerve cell extensions (axons and.
Multi-site Investigation of DTI Reproducibility K. G. Helmer 1, M-C. Chou 2, A. Song 3, J. Turner 4, B. Gimi 5, and S. Mori 6 1 Massachusetts General Hospital,
/mhj 1212 Introduction Diffusion Tensor Imaging (DTI) is a fairly new Magnetic Resonance Imaging technique. It shows the diffusion (i.e. random motion)
Multimodal Visualization for neurosurgical planning CMPS 261 June 8 th 2010 Uliana Popov.
Haskins fMRI Workshop Part I: Data Acquisition & Preprocessing.
Model-based Automatic AC/PC Detection on Three-dimensional MRI Scans Babak A. Ardekani, Ph.D., Alvin H. Bachman, Ph.D., Ali Tabesh, Ph.D. The Nathan S.
Diffusion-Tensor Imaging Tractography: Correlation with Processing Speed in Aging Stephen Correia 1, Stephanie Y. Lee 2, Song Zhang 2, Stephen P. Salloway.
Idoia Corcuera-Solano, Gerard Reddy, Bradley Delman, Reade De Leacy, Dan Rettmann, Lawrence N Tanenbaum EP
1 Detecting Subtle Changes in Structure Chris Rorden –Voxel Based Morphometry Segmentation – identifying gray and white matter Modulation- adjusting for.
Visualization of Fibers at Risk for Neuronal Tract Injury in Early MS by Streamtube Diffusion Tractography at 3 Tesla Jack H Simon 1 David E Miller 1 Mark.
Comparative Diffusion Tensor Imaging (DTI) Study of Tool Use Pathways in Humans, Apes and Monkeys Ashwin G. Ramayya 1,2, Matthew F. Glasser 1, David A.
Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses David H. Laidlaw 1, Song Zhang 1, Mark Bastin 2,3, Stephen Correia 4, Stephen.
Trade-offs between Angular and Spatial Resolution in High Angular Resolution Diffusion Imaging Liang Zhan 1, Neda Jahanshad 1, Alex D. Leow 2,3, Matt A.
-- Results There was a significant relationship between disease severity (FSRP) and measures of FA in the internal capsule (p
Tract-Based Spatial Statistics of Diffusion Tensor Imaging in Adult Dyslexia Todd Richards 1, Jeff Stevenson 1, James Crouch 2, L. Clark Johnson 3, Kenneth.
References: [1]S.M. Smith et al. (2004) Advances in functional and structural MR image analysis and implementation in FSL. Neuroimage 23: [2]S.M.
Fiber Demixing with the Tensor Distribution Function avoids errors in Fractional Anisotropy maps Liang Zhan 1,Alex D. Leow 2,3, Neda Jahanshad 1, Arthur.
INTRODUCTION Chronic pain is associated with cortical functional, neurochemical and morphological changes (Grachev et al., 2002, Apkarian et al., 2004).
Diffusion tensor imaging reveals early dissemination of pediatric diffuse intrinsic pontine gliomas Matthias W. Wagner¹, Joyce Mhlanga¹, Thangamadhan Bosemani¹,
Exploring Connectivity of the Brain’s White Matter with Dynamic Queries Presented by: Eugene (Austin) Stoudenmire 14 Feb 2007 Anthony Sherbondy, David.
Spatial Smoothing and Multiple Comparisons Correction for Dummies Alexa Morcom, Matthew Brett Acknowledgements.
Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skill Heidi Johansen-Berg 1, Valeria Della-Maggiore 3, Steve Smith.
White Matter Structural Integrity in Healthy Aging Adults and Patients With Alzheimer Disease: A Magnetic Resonance Imaging Study Bartzokis, et al. UCLA.
Introduction Material and Methods Result 2: Evolution of the lesion Result 1: DTI can map the injured spinal cord Conclusion J. Cohen-Adad 1, H. Leblond.
Joji Nishimura1, Shingo Kakeda1, Osamu Abe2, Reiji Yoshimura3, Junji Moriya1, Naoki Goto3, Hikaru Hori3, Norihiro Ohnari1, Toru Sato1, Shigeki Aoki4, Kuni.
Einstein on Brownian Motion 1905 five important papers DTI Basics – Water Diffusion.
Brain Imaging with MRI MRI of Neuronal Network Structure, Function, and Plasticity Henning U. Voss, Nicholas D. Schiff Progress in Brain Research, Vol.
By Suzanne Goh, Ravi Bansal, Dongrong Xu, Xuejun Hao, Jun Liu, Bradley S. Peterson Anchor Study.
TZAROUCHI LC 1, TSIFETAKI N 2, KONITSIOTIS S 3, ASTRAKAS LG 4, ZIKOU AK 1, ΒΟTZORIS V 2, DROSOS A 2, ARGYROPOULOU MI 1 Diffusion Tensor Imaging and T 2.
Diffusion Tensor MRI From Deterministic to Probabilistic Modelling
Introduction Preterm birth is a risk factor for psychosis. It is not known how (or whether) this interacts with other known risk factors – such as the.
Neural Correlates of White Matter Integrity in Tinnitus: Tract-Based Spatial Statistics Fahad Alhazmi PhD student.
DIFFUSION TENSOR IMAGING AND TRACTOGRAPHY. Introduction Diffusion- random molecular motion also known as Brownian movement Biological systems depend on.
INFLUENCE OF FRACTIONAL ANISOTROPY THRESHOLD FOR TRACT BASED DIFFUSION TENSOR ANALYSIS OF UNCINATE FASCICLES IN ALZHEIMER DISEASE Toshiaki Taoka, Toshiaki.
Intratumoral topography of CNS gliomas revealed by diffusion tensor imaging: correlations with tumor volume and grade A. Jakab 1, P. Molnár 2, M. Emri.
Naama Barnea-Goraly, MD; Linda J. Lotspeich, MD; Allan L. Reiss, MD 認知所 碩一 陳彥州 1.
Conclusion/Discussion
RESULTS AND DISCUSSION
Introduction to diffusion MRI
Morphological differences in the LGN in dyslexia
DIFFUSION ABNORMALITY OF CORPUS CALLOSUM IN ALZHEIMER’S DISEASE
Introduction to diffusion MRI
Volume 60, Issue 4, Pages (November 2008)
Detecting Gray Matter Maturation via Tensor-based Surface Morphometry
Joseph I. Friedman et al. JIMG 2014;7:
Volume 25, Issue 2, Pages (February 2000)
Diffusion Tensor MRI of White Matter of Healthy Full-term Newborns: Relationship to Neurodevelopmental Outcomes Higher white matter integrity (as reflected.
DTI TBSS results for the comparison of FA values between 2-week-old neonates born by cesarean delivery or vaginal delivery in cohort 1. DTI TBSS results.
Presentation transcript:

NTNU Det medisinske fakultet White Matter Abnormalities seen on Diffusion Tensor Imaging Relate to Neuroimpairments in VLBW Children at 15 Years of Age Jon Skranes 1, Torgil R Vangberg 2, Arild Kristoffersen 2, Siri Kulseng 1, Marit Indredavik 3, Kari Anne I. Evensen 1, Marit Martinussen 2, David Tuch 5, Anders Dale 5, Olav Haraldseth 2, Torstein Vik 4 and Ann Mari Brubakk 1 1 Dep of Laboratory Medicine, Children’s and Woman’s Health; 2 Dep of Circulation and Medical Imaging; 3 Dep of Neuroscience; 4 Dep of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; 5 Martinos Center, MGH, Boston, USA

NTNU Det medisinske fakultet BACKGROUND VLBW (birth weight < 1500 grams) children are at increased risk of neuroimpairments caused by perinatal injury like periventricular leukomalacia (PVL). Brain DTI may detect subtle changes in white matter microstructure that is not seen on conventional MRI. OBJECTIVE To compare cerebral DTI findings with the results from extensive psychiatric, behavioural, cognitive and motor assessments in VLBW adolescents at age 15. We hypothesized that reduced fractional anisotropy in specific areas of white matter was related with abnormal test results.

NTNU Det medisinske fakultet MATERIAL 34 VLBW children 49 non-SGA term controls Examined at 15 years of age in a population based study METHODS Movement-ABC Developmental test of Visual-Motor Integration (VMI) with supplementary tests: Visual perception and Motor coordination Psychiatric interview (Kaufman-SADS), ADHD rating scale Subtests from WISC-III: Arithmetic, Vocabulary, Picture arrangement, Block design

NTNU Det medisinske fakultet Child characteristics VLBWControl Child characteristics Mean(SD)Mean(SD) n=34n=49 Birth weight (g) 1232*(217)3631(472) Gestational age (weeks) Male Female 29.3* (2.7) (1.4) MRI assessment age (years) 15.1(0.6) 15.3(0.5) * p <0.05 versus controls. SD: standard deviation

NTNU Det medisinske fakultet Diffusion-Tensor Imaging MRI technique for in-vivo characterization of 3D white matter microstructure. –Measures magnitude and direction of water diffusion in biological tissue in 3D. DTI scans were performed for calculation of fractional anisotropy (FA) maps for each individual and for group comparisons.

NTNU Det medisinske fakultet METHODS cont. Fractional Anisotropy (FA): The extent to which diffusion is directionally restricted, i.e. anisotropic. Scalar measure: 0 to 1 For isotropic diffusion ( λ 1 = λ 2 = λ 3), FA is zero, and in the case where there is a strongly preferred direction of diffusion ( λ 1 >> λ 2 = λ 3), FA approaches one. Mean FA values for anatomical areas of significant differences between VLBW and controls were identified and then compared with clinical data for the VLBW adolescents (low performers vs. normal performers).

NTNU Det medisinske fakultet (A) Water molecules in the brain are constantly moving (i.e., in Brownian motion). When motion is unconstrained, as in the ventricles, seen in the MR image on the left, diffusion is isotropic, i.e. motion occurs equally and randomly in all directions. (B) When motion is constrained, as in white matter tracts (right), diffusion is anisotropic, i.e. motion is oriented more in one direction than another (e.g., along the y axis rather than along the x axis). Margaret Rosenbloom et al. July 2004

NTNU Det medisinske fakultet Image Acquisition Scanner: –1.5 T Siemens Symphony Structural scan: –T1-weighted MPRAGE-sequence –in-plane resolution 1 x 1 mm –Slice thickness 1.33 mm DTI scans: –Twice-refocused spin echo sequence –6 directions with b = 1000 s/mm 2 –in-plane resolution 1.78 x 1.78 mm –20 contiguous slices, 5 mm thick –Repeated 6 times T1-weighted MPRAGE scan, showing approximate location of DTI slice packet (black lines).

NTNU Det medisinske fakultet Diffusion Tensor Calculation Motion correction of DTI series using 12-parameter affine transform The six DTI acquisitions are averaged Diffusion tensor and FA maps calculated from averaged DTI volume. DTI scans Motion correction and averaging Averaged volume Diffusion tensor Calculation of diffusion tensor FA map S 0 volume

NTNU Det medisinske fakultet Image Post Processing SPM2 used for post processing and statistical analysis Custom template created from structural images of all subjects FA maps normalized to custom template Prior to statistical analysis FA maps smoothed with 4 mm FWHM Gaussian FA S 0 Anatomical 3.Transformation 1. Coregister Normalized anatomical 2. Normalization Normalized FA 4. Normalization

NTNU Det medisinske fakultet RESULTS The VLBW teenagers had significantly lower mean FA values in several anatomical white matter areas compared with controls: – internal capsule (mainly PLIC) – corpus callosum (anterior and posterior) – centrum semiovale (central parietofrontal w.m.) – peripheral parietofrontal white matter – periventricular occipital white matter

NTNU Det medisinske fakultet Location, size and mean FA values in clusters where the VLBW group had significantly lower FA values than controls (p<.05). Location of significant clusters cluster size (voxels) Mean FA in cluster VLBWControl Capsula interna left Capsula interna right Corpus callosum post Corpus callosum ant Centrum semiovale left Centrum semiovale right Peripheral wm left Peripheral wm right Occipital wm left

NTNU Det medisinske fakultet Results VLBW < Control Corpus callosum (green arrows) RL Regions with reduced FA in VLBW group. Underlay is average of anatomical images from VLBW and control group.

NTNU Det medisinske fakultet Results VLBW < Control Internal capsule (mostly PLIC) RLRL

NTNU Det medisinske fakultet Results VLBW < Control Occipital white matter (green arrows) RLRL

NTNU Det medisinske fakultet Results VLBW < Control (right side) Peripheral white matter Centrum semiovale

NTNU Det medisinske fakultet Relationship between motor test results and FA values in different anatomical regions in VLBW adolescents Total ABC score Manual dext. score Ball skills score 5th p. 5th p. 5th p. (8) (22) (3) (29) (4) (27) Anatomical region Capsula interna Periph wm right Posterior corpus call P <.05

NTNU Det medisinske fakultet Relationship between visuo-perceptual and behavioural test results and FA values in different anatomical regions VMI visual perc. ADHD / ADD -1SD yes no (7) (23) (8) (26) Anatomical region Capsula interna Peripheral wm Post. corpus callosum Centrum semiovale Occipital wm

NTNU Det medisinske fakultet Correlations between WISC III subtest scores and FA values in different anatomical regions in 33 VLBW adolescents WISC III subtest scores Arithmetic Pict. arrangement Block design Anatomical region Capsula interna,416** Corpus callosum post part,381**,344 #,399** Centrum semiovale,411** Peripheral wm left,571*,418**,472* Occipital wm left,388** * p < 0.01, ** p < 0.05, # p = 0.05 Abbreviations: wm: white matter; WISC: Wechsler Intelligence Scale; Pict.: picture Correlations by Spearman’s rho

NTNU Det medisinske fakultet Discussion The VLBW group has reduced anisotropy in several wm areas which are known to be affected by premature birth (PVL, asphyxia) periventricular occipital white matter centrum semiovale corpus callosum posterior limb of internal capsule The reduced anisotropy may be due to: reduced myelination fiber disorganization fewer axons

NTNU Det medisinske fakultet Conclusions / Speculations Low FA values in specific brain areas seem to relate to motor, cognitive, perceptual and behavioural impairments in VLBW adolescents. The neuroimpairments may be due to disturbed white matter microstructure and connectivity of commissural and association fibres between different cortical areas. The disrupted connectivity may influence neuronal networks and thereby neurodevelopment and higher cognitive functions in VLBW adolescents.

NTNU Det medisinske fakultet