Cortical Thickness Estimations of FreeSurfer and the CAT12 Toolbox in Patients with Alzheimer's Disease and Healthy Controls

Abstract

BACKGROUND AND PURPOSEAutomated cortical thickness (CT) measurements are often used to assess gray matter changes in the healthy and diseased human brain. The FreeSurfer software is frequently applied for this type of analysis. The computational anatomy toolbox (CAT12) for SPM, which offers a fast and easy‐to‐use alternative approach, was recently made available.METHODSIn this study, we compared region of interest (ROI)‐wise CT estimations of the surface‐based FreeSurfer 6 (FS6) software and the volume‐based CAT12 toolbox for SPM using 44 elderly healthy female control subjects (HC). In addition, these 44 HCs from the cross‐sectional analysis and 34 age‐ and sex‐matched patients with Alzheimer's disease (AD) were used to assess the potential of detecting group differences for each method. Finally, a test‐retest analysis was conducted using 19 HC subjects. All data were taken from the OASIS database and MRI scans were recorded at 1.5 Tesla.RESULTSA strong correlation was observed between both methods in terms of ROI mean CT estimates (R 2 = .83). However, CAT12 delivered significantly higher CT estimations in 32 of the 34 ROIs, indicating a systematic difference between both approaches. Furthermore, both methods were able to reliably detect atrophic brain areas in AD subjects, with the highest decreases in temporal areas. Finally, FS6 as well as CAT12 showed excellent test‐retest variability scores.CONCLUSIONAlthough CT estimations were systematically higher for CAT12, this study provides evidence that this new toolbox delivers accurate and robust CT estimates and can be considered a fast and reliable alternative to FreeSurfer.

Cortical thickness in migraine: a coordinate-based meta-analysis

“…As shown in Table 2, differences in scanner manufacturer and platform (Siemens, Philips, and GE), eld strength (3.0 T and 1.5 T), head coil (8-, 12-, 32-, and 64-channel), MR sequence (MPRAGE, FFE, TFE, FLASH, and FSPGR), TR/TE, and voxel size (from 1.33 × 1.0 × 1.0 to 0.89 × 0.89 × 0.8 mm 3 ) across studies were noted. Besides, variations in computing workstation types [65], operating systems [65,66], processing pipelines and software packages [65,67,68], the extent of smoothing [69], and statistical strategies [10,16,17,22] may produce inconsistent results. These differences make direct comparisons between the different studies di cult.…”

Brain Morphological Alterations Are Detected in Early‐Stage Parkinson's Disease with MRI Morphometry

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Shared hippocampal abnormalities in sporadic temporal lobe epilepsy patients and their siblings

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