Article

Han X, Jovicich J, Salat D, van der Kouwe A, Quinn B, Czanner S et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. NeuroImage 32: 180-194

Boston University, Boston, Massachusetts, United States
NeuroImage (Impact Factor: 6.36). 09/2006; 32(1):180-94. DOI: 10.1016/j.neuroimage.2006.02.051
Source: PubMed

ABSTRACT

In vivo MRI-derived measurements of human cerebral cortex thickness are providing novel insights into normal and abnormal neuroanatomy, but little is known about their reliability. We investigated how the reliability of cortical thickness measurements is affected by MRI instrument-related factors, including scanner field strength, manufacturer, upgrade and pulse sequence. Several data processing factors were also studied. Two test-retest data sets were analyzed: 1) 15 healthy older subjects scanned four times at 2-week intervals on three scanners; 2) 5 subjects scanned before and after a major scanner upgrade. Within-scanner variability of global cortical thickness measurements was <0.03 mm, and the point-wise standard deviation of measurement error was approximately 0.12 mm. Variability was 0.15 mm and 0.17 mm in average, respectively, for cross-scanner (Siemens/GE) and cross-field strength (1.5 T/3 T) comparisons. Scanner upgrade did not increase variability nor introduce bias. Measurements across field strength, however, were slightly biased (thicker at 3 T). The number of (single vs. multiple averaged) acquisitions had a negligible effect on reliability, but the use of a different pulse sequence had a larger impact, as did different parameters employed in data processing. Sample size estimates indicate that regional cortical thickness difference of 0.2 mm between two different groups could be identified with as few as 7 subjects per group, and a difference of 0.1 mm could be detected with 26 subjects per group. These results demonstrate that MRI-derived cortical thickness measures are highly reliable when MRI instrument and data processing factors are controlled but that it is important to consider these factors in the design of multi-site or longitudinal studies, such as clinical drug trials.

Download full-text

Full-text

Available from: Silvester Czanner
    • "Some of the well-recognised limitations of neuroimaging studies should also be mentioned. The accuracy of the thickness estimation may vary across the cortical surface due M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT 19 to lower contrast-to-noise ratio in specific regions (Han et al., 2006), such as the cingulate, frontal and temporal polar cortices. Moreover, the grey/white ratio decreases with age and the changing grey/white contrast may increase the variability of thickness estimation across cortical mantle (Salat et al., 2009b). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Successful brain aging in the oldest old (≥90 years) is under-explored. This study examined cross-sectional brain morphological differences from eighth to eleventh decades of life in non-demented individuals by high-resolution magnetic resonance imaging. 277 non-demented community dwelling participants (71-103 years) from Sydney Memory and Ageing Study and Sydney Centenarian Study comprised the sample, including a subsample of 160 cognitively high-functioning elders. Relationships between age and MRI-derived measurements were studied using general linear models; and structural profiles of the ≥90 years were delineated. In full sample and the sub-sample, significant linear negative relationship of grey matter with age was found, with the greatest age effects in the medial temporal lobe and parietal and occipital cortices. This pattern was further confirmed by comparing directly the ≥90 years to the 71-89 years groups. Significant quadratic age effects on total white matter and white matter hyperintensities were observed. Our study demonstrated heterogeneous differences across brain regions between the oldest old and young old, with an emphasis on hippocampus, temporo-posterior cortex and white matter hyperintensities.
    No preview · Article · Jan 2016
  • Source
    • "It is worth noting this procedure is not restricted to the voxel resolution of images acquisitions, but allows subtle (sub-millimeter) detection of variations between groups. It has been validated against histological analysis (Rosas et al., 2002) and manual measurements (Kuperberg et al., 2003; Salat et al., 2004), and allows good test–retest reliability across various scanner manufacturers and field strengths (Han et al., 2006). Moreover, this procedure has recently been validated as similarly sensitive as manual tracing to detect hippocampal volume variations (Cherbuin et al., 2009; Morey et al., 2009). "

    Full-text · Dataset · Jan 2016
    • "The final 20 scans were collected on a 3T Siemens MAGNE- TOM Trio Tim MRI scanner with the following high-resolution MPRAGE sequence: TR/TE = 2500/1900 ms, FA = 98, FOV = 250 mm 9 250 mm 9 250 mm, 1 mm isotropic voxels, sagittal partitions. It should be noted that Freesurfer morphometric procedures (described below) have been demonstrated to show good test–retest reliability across scanner manufacturers and across field strengths (Reuter et al. 2012; Han et al. 2006). In our sample, there were no significant volumetric differences between the two scanners for any of our OFC regions of interest (ROIs) or whole brain gray matter (all Ps C 0.19). "
    [Show abstract] [Hide abstract]
    ABSTRACT: The medial orbitofrontal cortex has been linked to the experience of positive affect. Greater medial orbitofrontal cortex volume is associated with greater expression of positive affect and reduced medial orbital frontal cortex volume is associated with blunted positive affect. However, little is known about the experience of euphoria, or extreme joy, and how this state may relate to variability in medial orbitofrontal cortex structure. To test the hypothesis that variability in euphoric experience correlates with the volume of the medial orbitofrontal cortex, we measured individuals' (N = 31) level of self-reported euphoria in response to a highly anticipated first time skydive and measured orbitofrontal cortical volumes with structural magnetic resonance imaging. Skydiving elicited a large increase in self-reported euphoria. Participants' euphoric experience was predicted by the volume of their left medial orbitofrontal cortex such that, the greater the volume, the greater the euphoria. Further analyses indicated that the left medial orbitofrontal cortex and amygdalo-hippocampal complex independently explain variability in euphoric experience and that medial orbitofrontal cortex volume, in conjunction with other structures within the mOFC-centered corticolimbic circuit, can be used to predict individuals' euphoric experience.
    No preview · Article · Nov 2015 · Brain Structure and Function
Show more