본문 바로가기
KERD
논문KCI 미등재

Brain Mapping Using Neuroimaging

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류자연과학일반

초록

Mapping brain structural and functional connections through the whole brain is essential for understanding brain mechanisms and the physiological bases of brain diseases. Although region specific structural or functional deficits cause brain diseases, the changes of interregional connections could also be important factors of brain diseases. This review will introduce common neuroimaging modalities, including structural magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging, and other recent neuroimaging analyses methods, such as voxel-based morphometry, cortical thickness analysis, local gyrification index, and shape analysis for structural imaging. Tract-Based Spatial Statistics, TRActs Constrained by UnderLying Anatomy for diffusion MRI, and independent component analysis for fMRI also will also be introduced.

Abstract

Mapping brain structural and functional connections through the whole brain is essential for understanding brain mechanisms and the physiological bases of brain diseases. Although region specific structural or functional deficits cause brain diseases, the changes of interregional connections could also be important factors of brain diseases. This review will introduce common neuroimaging modalities, including structural magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging, and other recent neuroimaging analyses methods, such as voxel-based morphometry, cortical thickness analysis, local gyrification index, and shape analysis for structural imaging. Tract-Based Spatial Statistics, TRActs Constrained by UnderLying Anatomy for diffusion MRI, and independent component analysis for fMRI also will also be introduced.

참고문헌 (18)

  1. Federica Agosta, "Advanced magnetic resonance imaging of neurodegenerative diseases", Neurological Sciences, 38(1), pp.41~51 (2017), Springer Nature[DOI]
  2. Alexander A L, "Diffusion tensor imaging of the brain", Neurotherapeutics, 4, pp.316~329 (2007)
  3. Ashburner J, "A fast diffeomorphic image registration algorithm", Neuroimage, 38, pp.95~113 (2007)
  4. Christidi F, "Fiber tracking: a qualitative and quantitative comparison between four different software tools on the reconstruction of major white matter tracts", Eur. J. Radiol. Open, 3, pp.153~161 (2016)
  5. Good C D, "A voxel-based morphometric study of ageing in 465 normal adult human brains", Neuroimage, 14, pp.21~36 (2001)
  6. Mao-Lin Hu, "A Review of the Functional and Anatomical Default Mode Network in Schizophrenia", Neuroscience Bulletin, 33(1), pp.73~84 (2017), Springer Nature[DOI]
  7. Janssen J, "Cortical morphology of adolescents with bipolar disorder and with schizophrenia", Schizophr. Res, 158, pp.91~99 (2014)
  8. Mak E, "Structural neuroimaging in preclinical dementia: from microstructural deficits and grey matter atrophy to macroscale connectomic changes", Ageing Res. Rev, S1568-1637, pp.30062~30069 (2016)
  9. McKeown M J, "Analysis of fMRI data by blind separation into independent spatial components", Hum. Brain Mapp, 6, pp.160~188 (1998)
  10. McKeown M J, "Independent component analysis of fMRI data: examining the assumptions", Hum. Brain Mapp, 6, pp.368~372 (1998)
  11. Nanda P, "Local gyrification index in probands with psychotic disorders and their first-degree relatives", Biol. Psychiatry, 76, pp.447~455 (2014)
  12. Nenadic I, "Prefrontal gyrification in psychotic bipolar I disorder vs. schizophrenia", J. Affect Disord, 185, pp.104~107 (2015)
  13. Nixon N L, "Biological vulnerability to depression: linked structural and functional brain network findings", Br. J. Psychiatry, 204, pp.283~289 (2014)
  14. Ogawa S, "Finding the BOLD effect in brain images", Neuroimage, 62, pp.608~609 (2012)
  15. Smith S M, "Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data", Neuroimage, 31, pp.1487~1505 (2006)
  16. Tae W S, "Activation of auditory white matter tracts as revealed by functional magnetic resonance imaging", Neuroradiology, 56, pp.597~605 (2014)
  17. Thompson P M, "The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data", Brain Imaging Behav, 8, pp.153~182 (2014)
  18. Yendiki A, "Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy", Front Neuroinform, 5, pp.23~ (2011)

관련 논문AI추천

이 간행물의 다른 논문 (11건)