Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts

Minhui Ouyang, Tina Jeon, Virendra Mishra, Haixiao Du, Yu Wang, Yun Peng, Hao Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

From early childhood to adulthood, synaptogenesis and synaptic pruning continuously reshape the structural architecture and neural connection in developmental human brains. Disturbance of the precisely balanced strengthening of certain axons and pruning of others may cause mental disorders such as autism and schizophrenia. To characterize this balance, we proposed a novel measurement based on cortical parcellation and diffusion MRI (dMRI) tractography, a cortical connectivity maturation index (CCMI). To evaluate the spatiotemporal sensitivity of CCMI as a potential biomarker, dMRI and T1 weighted datasets of 21 healthy subjects 2-25 years were acquired. Brain cortex was parcellated into 68 gyral labels using T1 weighted images, then transformed into dMRI space to serve as the seed region of interest for dMRI-based tractography. Cortico-cortical association fibers initiated from each gyrus were categorized into long- and short-range ones, based on the other end of fiber terminating in nonadjacent or adjacent gyri of the seed gyrus, respectively. The regional CCMI was defined as the ratio between number of short-range association tracts and that of all association tracts traced from one of 68 parcellated gyri. The developmental trajectory of the whole brain CCMI follows a quadratic model with initial decreases from 2 to 16 years followed by later increases after 16 years. Regional CCMI is heterogeneous among different cortical gyri with CCMI dropping to the lowest value earlier in primary somatosensory cortex and visual cortex while later in the prefrontal cortex. The proposed CCMI may serve as sensitive biomarker for brain development under normal or pathological conditions.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
PublisherSPIE
Volume9788
ISBN (Electronic)9781510600232
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: Mar 1 2016Mar 3 2016

Other

OtherMedical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego
Period3/1/163/3/16

Fingerprint

Diffusion Magnetic Resonance Imaging
Magnetic resonance imaging
brain
Brain
Association reactions
cortexes
Neuronal Plasticity
Biomarkers
Seed
Seeds
biomarkers
Diffusion Tensor Imaging
Somatosensory Cortex
Fibers
Visual Cortex
Autistic Disorder
Prefrontal Cortex
seeds
Mental Disorders
Labels

Keywords

  • Cortical connectivity
  • Development
  • Diffusion MRI
  • Maturation index
  • Short-range association tracts

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Ouyang, M., Jeon, T., Mishra, V., Du, H., Wang, Y., Peng, Y., & Huang, H. (2016). Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 9788). [97881B] SPIE. https://doi.org/10.1117/12.2218029

Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. / Ouyang, Minhui; Jeon, Tina; Mishra, Virendra; Du, Haixiao; Wang, Yu; Peng, Yun; Huang, Hao.

Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788 SPIE, 2016. 97881B.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ouyang, M, Jeon, T, Mishra, V, Du, H, Wang, Y, Peng, Y & Huang, H 2016, Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. in Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. vol. 9788, 97881B, SPIE, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, United States, 3/1/16. https://doi.org/10.1117/12.2218029
Ouyang M, Jeon T, Mishra V, Du H, Wang Y, Peng Y et al. Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788. SPIE. 2016. 97881B https://doi.org/10.1117/12.2218029
Ouyang, Minhui ; Jeon, Tina ; Mishra, Virendra ; Du, Haixiao ; Wang, Yu ; Peng, Yun ; Huang, Hao. / Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788 SPIE, 2016.
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