Literature DB >> 28651252

Combined Diffusion Tensor and Magnetic Resonance Spectroscopic Imaging Methodology for Automated Regional Brain Analysis: Application in a Normal Pediatric Population.

Nirmalya Ghosh1, Barbara Holshouser, Udo Oyoyo, Stanley Barnes, Karen Tong, Stephen Ashwal.   

Abstract

During human brain development, anatomic regions mature at different rates. Quantitative anatomy-specific analysis of longitudinal diffusion tensor imaging (DTI) and magnetic resonance spectroscopic imaging (MRSI) data may improve our ability to quantify and categorize these maturational changes. Computational tools designed to quickly fuse and analyze imaging information from multiple, technically different datasets would facilitate research on changes during normal brain maturation and for comparison to disease states. In the current study, we developed a complete battery of computational tools to execute such data analyses that include data preprocessing, tract-based statistical analysis from DTI data, automated brain anatomy parsing from T1-weighted MR images, assignment of metabolite information from MRSI data, and co-alignment of these multimodality data streams for reporting of region-specific indices. We present statistical analyses of regional DTI and MRSI data in a cohort of normal pediatric subjects (n = 72; age range: 5-18 years; mean 12.7 ± 3.3 years) to establish normative data and evaluate maturational trends. Several regions showed significant maturational changes for several DTI parameters and MRSI ratios, but the percent change over the age range tended to be small. In the subcortical region (combined basal ganglia [BG], thalami [TH], and corpus callosum [CC]), the largest combined percent change was a 10% increase in fractional anisotropy (FA) primarily due to increases in the BG (12.7%) and TH (9%). The largest significant percent increase in N-acetylaspartate (NAA)/creatine (Cr) ratio was seen in the brain stem (BS) (18.8%) followed by the subcortical regions in the BG (11.9%), CC (8.9%), and TH (6.0%). We found consistent, significant (p < 0.01), but weakly positive correlations (r = 0.228-0.329) between NAA/Cr ratios and mean FA in the BS, BG, and CC regions. Age- and region-specific normative MR diffusion and spectroscopic metabolite ranges show brain maturation changes and are requisite for detecting abnormalities in an injured or diseased population.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Computational analysis; Diffusion tensor imaging; Human brain maturation; Magnetic resonance spectroscopy; Normal brain maturation; Pediatric brain

Mesh:

Substances:

Year:  2017        PMID: 28651252      PMCID: PMC5592137          DOI: 10.1159/000475545

Source DB:  PubMed          Journal:  Dev Neurosci        ISSN: 0378-5866            Impact factor:   2.984


  57 in total

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Authors:  Andreia V Faria; Jiangyang Zhang; Kenichi Oishi; Xin Li; Hangyi Jiang; Kazi Akhter; Laurent Hermoye; Seung-Koo Lee; Alexander Hoon; Elaine Stashinko; Michael I Miller; Peter C M van Zijl; Susumu Mori
Journal:  Neuroimage       Date:  2010-04-24       Impact factor: 6.556

Review 2.  Review of diffusion tensor imaging and its application in children.

Authors:  Gregory A Vorona; Jeffrey I Berman
Journal:  Pediatr Radiol       Date:  2015-09-07

3.  White matter development in adolescence: a DTI study.

Authors:  M R Asato; R Terwilliger; J Woo; B Luna
Journal:  Cereb Cortex       Date:  2010-01-05       Impact factor: 5.357

4.  A diffusion tensor MRI study of white matter integrity in subjects at high genetic risk of schizophrenia.

Authors:  S Muñoz Maniega; G K S Lymer; M E Bastin; D Marjoram; D E Job; T W J Moorhead; D G Owens; E C Johnstone; A M McIntosh; S M Lawrie
Journal:  Schizophr Res       Date:  2008-10-11       Impact factor: 4.939

5.  Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging.

Authors:  P Mukherjee; J H Miller; J S Shimony; T E Conturo; B C Lee; C R Almli; R C McKinstry
Journal:  Radiology       Date:  2001-11       Impact factor: 11.105

6.  White and gray matter development in human fetal, newborn and pediatric brains.

Authors:  Hao Huang; Jiangyang Zhang; Setsu Wakana; Weihong Zhang; Tianbo Ren; Linda J Richards; Paul Yarowsky; Pamela Donohue; Ernest Graham; Peter C M van Zijl; Susumu Mori
Journal:  Neuroimage       Date:  2006-08-14       Impact factor: 6.556

Review 7.  Mapping brain maturation.

Authors:  Arthur W Toga; Paul M Thompson; Elizabeth R Sowell
Journal:  Trends Neurosci       Date:  2006-02-10       Impact factor: 13.837

8.  Serial changes in the white matter diffusion tensor imaging metrics in moderate traumatic brain injury and correlation with neuro-cognitive function.

Authors:  Raj Kumar; Mazhar Husain; Rakesh K Gupta; Khader M Hasan; Mohammad Haris; Atul K Agarwal; C M Pandey; Ponnada A Narayana
Journal:  J Neurotrauma       Date:  2009-04       Impact factor: 5.269

9.  Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.

Authors:  Rachel L Vassar; Naama Barnea-Goraly; Jessica Rose
Journal:  PLoS One       Date:  2014-12-15       Impact factor: 3.240

10.  Changes in white matter microstructure in the developing brain--A longitudinal diffusion tensor imaging study of children from 4 to 11years of age.

Authors:  Stine K Krogsrud; Anders M Fjell; Christian K Tamnes; Håkon Grydeland; Lia Mork; Paulina Due-Tønnessen; Atle Bjørnerud; Cassandra Sampaio-Baptista; Jesper Andersson; Heidi Johansen-Berg; Kristine B Walhovd
Journal:  Neuroimage       Date:  2015-09-12       Impact factor: 6.556

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  5 in total

1.  Does B12 deficiency lead to change in brain metabolites in pediatric population? A MR spectroscopy study.

Authors:  Dilek Sen Dokumaci; Ferit Dogan; Suleyman Geter; Veysi Almaz; Mustafa Calik
Journal:  Neurol Sci       Date:  2019-06-25       Impact factor: 3.307

2.  Longitudinal Metabolite Changes after Traumatic Brain Injury: A Prospective Pediatric Magnetic Resonance Spectroscopic Imaging Study.

Authors:  Barbara Holshouser; Jamie Pivonka-Jones; Joy G Nichols; Udo Oyoyo; Karen Tong; Nirmalya Ghosh; Stephen Ashwal
Journal:  J Neurotrauma       Date:  2018-12-20       Impact factor: 5.269

3.  Magnetic resonance spectroscopy of fiber tracts in children with traumatic brain injury: A combined MRS - Diffusion MRI study.

Authors:  Emily L Dennis; Talin Babikian; Jeffry Alger; Faisal Rashid; Julio E Villalon-Reina; Yan Jin; Alexander Olsen; Richard Mink; Christopher Babbitt; Jeffrey Johnson; Christopher C Giza; Paul M Thompson; Robert F Asarnow
Journal:  Hum Brain Mapp       Date:  2018-05-10       Impact factor: 5.038

4.  Evolving White Matter Injury following Pediatric Traumatic Brain Injury.

Authors:  Brenda Bartnik-Olson; Barbara Holshouser; Nirmalya Ghosh; Udochukwu E Oyoyo; Joy G Nichols; Jamie Pivonka-Jones; Karen Tong; Stephen Ashwal
Journal:  J Neurotrauma       Date:  2020-08-10       Impact factor: 5.269

Review 5.  Neuroimaging in Pediatric Patients with Mild Traumatic Brain Injury: Relating the Current 2018 Centers for Disease Control Guideline and the Potential of Advanced Neuroimaging Modalities for Research and Clinical Biomarker Development.

Authors:  Alina K Fong; Mark D Allen; Dana Waltzman; Kelly Sarmiento; Keith Owen Yeates; Stacy Suskauer; Max Wintermark; Daniel M Lindberg; David F Tate; Elizabeth A Wilde; Jaycie L Loewen
Journal:  J Neurotrauma       Date:  2020-10-21       Impact factor: 5.269

  5 in total

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