1. Considering total intracranial volume and other nuisance variables in brain voxel based morphometry in idiopathic PD
- Author
-
Catherine C. Price, Qing Zhao, Samuel J. Crowley, Jared J. Tanner, Daniel Ramon, Mingzhou Ding, Haiqing Huang, Nadine A. Schwab, Loren P. Hizel, and Babette Brumback
- Subjects
Male ,0301 basic medicine ,Pathology ,computer.software_genre ,Behavioral Neuroscience ,0302 clinical medicine ,Voxel ,Intracranial volume ,Image Processing, Computer-Assisted ,Gray Matter ,Cerebrospinal Fluid ,Neuroradiology ,medicine.diagnostic_test ,Age Factors ,Neuropsychology ,Brain ,Parkinson Disease ,Organ Size ,Magnetic Resonance Imaging ,White Matter ,Psychiatry and Mental health ,medicine.anatomical_structure ,Neurology ,Female ,Psychology ,medicine.medical_specialty ,Nuisance variable ,Cognitive Neuroscience ,Article ,White matter ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Sex Factors ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,business.industry ,Skull ,Magnetic resonance imaging ,Voxel-based morphometry ,030104 developmental biology ,nervous system ,Linear Models ,Neurology (clinical) ,Nuclear medicine ,business ,computer ,030217 neurology & neurosurgery - Abstract
Voxel-based morphometry (VBM) studies of Parkinson's disease (PD), have yielded mixed results, possibly due to several studies not accounting for common nuisance variables (age, sex, and total intracranial volume [TICV]). TICV is particularly important because there is evidence for larger TICV in PD. We explored the influence of these covariates on VBM by 1) comparing PD patients and controls before adding covariates, after adding age and sex, and after adding age, sex and TICV, and 2) by comparing controls split into large and small TICV before and after controlling for TICV, with age and sex accounted for in both analyses. Experiment 1 consisted of 40 PD participants and 40 controls. Experiment 2 consisted of 88 controls median split by TICV. All participants completed an MRI on a 3 T scanner. TICV was calculated as gray + white + CSF from Freesurfer. VBM was performed on T1 images using an optimized VBM protocol. Volume differences were assessed using a voxel-wise GLM analysis. Clusters were considered significant at >10 voxels and p
- Published
- 2017
- Full Text
- View/download PDF