Literature DB >> 10788712

More than meets the eye: significant regional heterogeneity in human cortical T1.

R G Steen1, W E Reddick, R J Ogg.   

Abstract

Segmented k-space acquisition of data was used to decrease the acquisition time and to increase the imaging resolution of the precise and accurate inversion recovery (PAIR) method of measuring T(1). We validated the new TurboPAIR method by measuring T(1) in 158 regions of interest in 12 volunteers, using both PAIR and TurboPAIR. We found a 3% difference between methods, which could be corrected by linear regression. After validation, the TurboPAIR method was used to test a hypothesis that there is significant regional heterogeneity in cortical T(1). We measured cortical gray matter T(1) in 11 right-handed volunteers, in 48 regions of interest scattered over frontal and parietal cortex, and in 46 ROIs along the central sulcus (CS). We found that T(1) in the CS is less than T(1) elsewhere in the cortex (p<0.001), and that there is considerable hemispheric asymmetry in T(1) in gray matter, but not in white matter. In central gray structures (caudate, thalamus, nucleus pulvinarus), and in the posterior CS (sensory cortex), right hemisphere T(1) was significantly greater than left hemisphere T(1) (p< or =0.004). In cortical gray matter of the frontal lobe and anterior CS (motor cortex), left hemisphere T(1) was significantly greater than right hemisphere T(1) (p< or =0.003). These findings demonstrate that there is considerable regional heterogeneity in human cortical T(1) that is unexplained by differences in tissue iron content, but may be evidence of an inherent anatomic asymmetry of the brain.

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Year:  2000        PMID: 10788712     DOI: 10.1016/s0730-725x(00)00123-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

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4.  Rapid high-resolution three-dimensional mapping of T1 and age-dependent variations in the non-human primate brain using magnetization-prepared rapid gradient-echo (MPRAGE) sequence.

Authors:  Junjie V Liu; Nicholas A Bock; Afonso C Silva
Journal:  Neuroimage       Date:  2011-03-03       Impact factor: 6.556

5.  Accurate cortical tissue classification on MRI by modeling cortical folding patterns.

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6.  Mapping an intrinsic MR property of gray matter in auditory cortex of living humans: a possible marker for primary cortex and hemispheric differences.

Authors:  Irina S Sigalovsky; Bruce Fischl; Jennifer R Melcher
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7.  Brain MRI tissue classification based on local Markov random fields.

Authors:  Jussi Tohka; Ivo D Dinov; David W Shattuck; Arthur W Toga
Journal:  Magn Reson Imaging       Date:  2010-01-27       Impact factor: 2.546

8.  Linking contemporary high resolution magnetic resonance imaging to the von Economo legacy: A study on the comparison of MRI cortical thickness and histological measurements of cortical structure.

Authors:  Lianne H Scholtens; Marcel A de Reus; Martijn P van den Heuvel
Journal:  Hum Brain Mapp       Date:  2015-05-19       Impact factor: 5.038

9.  Age-related changes in tissue signal properties within cortical areas important for word understanding in 12- to 19-month-old infants.

Authors:  Katherine E Travis; Megan M Curran; Christina Torres; Matthew K Leonard; Timothy T Brown; Anders M Dale; Jeffrey L Elman; Eric Halgren
Journal:  Cereb Cortex       Date:  2013-02-28       Impact factor: 5.357

10.  Joint brain parametric T1-map segmentation and RF inhomogeneity calibration.

Authors:  Ping-Feng Chen; R Grant Steen; Anthony Yezzi; Hamid Krim
Journal:  Int J Biomed Imaging       Date:  2009-08-23
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