Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly
暂无分享,去创建一个
Lutz Jäncke | Tara M. Madhyastha | Michel Philipp | Franziskus Liem | Susan Mérillat | Ladina Bezzola | Sarah Hirsiger | L. Jäncke | T. Madhyastha | Ladina Bezzola | S. Mérillat | F. Liem | S. Hirsiger | M. Philipp
[1] Anbupalam Thalamuthu,et al. Distinct Genetic Influences on Cortical and Subcortical Brain Structures , 2016, Scientific Reports.
[2] A. Dale,et al. Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.
[3] Lutz Jäncke,et al. Increased cortical surface area of the left planum temporale in musicians facilitates the categorization of phonetic and temporal speech sounds , 2013, Cortex.
[4] Hans-Jochen Heinze,et al. Comparing manual and automatic segmentation of hippocampal volumes: Reliability and validity issues in younger and older brains , 2014, Human brain mapping.
[5] D. Stuss,et al. Cognitive neuroscience. , 1993, Current opinion in neurobiology.
[6] John Suckling,et al. Are power calculations useful? A multicentre neuroimaging study , 2014, Human brain mapping.
[7] A. Dale,et al. Critical ages in the life course of the adult brain: nonlinear subcortical aging , 2013, Neurobiology of Aging.
[8] A. Lundervold,et al. High-expanding cortical regions in human development and evolution are related to higher intellectual abilities. , 2015, Cerebral cortex.
[9] Paul M. Thompson,et al. Heritability of head motion during resting state functional MRI in 462 healthy twins , 2014, NeuroImage.
[10] K. McGraw,et al. Forming inferences about some intraclass correlation coefficients. , 1996 .
[11] Joachim Hornegger,et al. Real‐time optical motion correction for diffusion tensor imaging , 2011, Magnetic resonance in medicine.
[12] Lutz Jäncke,et al. Plasticity and Imaging Research in Healthy Aging: Core Ideas and Profile of the International Normal Aging and Plasticity Imaging Center (INAPIC) , 2011, Gerontology.
[13] Markus H. Sneve,et al. The Roots of Alzheimer's Disease: Are High-Expanding Cortical Areas Preferentially Targeted?†. , 2015, Cerebral cortex.
[14] Edgar Erdfelder,et al. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.
[15] André J. W. van der Kouwe,et al. Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast , 2009, NeuroImage.
[16] David F Abbott,et al. Sample size estimates for well‐powered cross‐sectional cortical thickness studies , 2013, Human brain mapping.
[17] Nikos Makris,et al. Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.
[18] D. W. Zimmerman,et al. Note on the reliability of experimental measures and the power of significance tests. , 1986 .
[19] N. Raz,et al. Differential Aging of the Brain: Patterns, Cognitive Correlates and Modifiers , 2022 .
[20] Bradford C. Dickerson,et al. Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau , 2013, Front. Aging Neurosci..
[21] A. Dale,et al. Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.
[22] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[23] Giancarlo Ferrigno,et al. Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements , 2014, Neuroinformatics.
[24] Mark E. Bastin,et al. Test–retest reliability of structural brain networks from diffusion MRI , 2014, NeuroImage.
[25] I. Melle,et al. Cortical Volume, Surface Area, and Thickness in Schizophrenia and Bipolar Disorder , 2012, Biological Psychiatry.
[26] Daniel S. Margulies,et al. NeuroVault.org: A web database for sharing statistical parametric maps , 2013 .
[27] Anderson M. Winkler,et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies , 2010, NeuroImage.
[28] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[29] L. Jäncke,et al. Brain size, sex, and the aging brain , 2015, Human brain mapping.
[30] Shantanu H. Joshi,et al. The contribution of genes to cortical thickness and volume , 2011, Neuroreport.
[31] A. Dale,et al. Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.
[32] Bruce Fischl,et al. Within-subject template estimation for unbiased longitudinal image analysis , 2012, NeuroImage.
[33] Anders M. Dale,et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.
[34] Bruce Fischl,et al. Highly accurate inverse consistent registration: A robust approach , 2010, NeuroImage.
[35] Daniël Lakens,et al. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs , 2013, Front. Psychol..
[36] Mert R. Sabuncu,et al. The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.
[37] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[38] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[39] Andreas Engvig,et al. Effects of memory training on cortical thickness in the elderly , 2010, NeuroImage.
[40] Gregory McCarthy,et al. Scan–rescan reliability of subcortical brain volumes derived from automated segmentation , 2010, Human brain mapping.
[41] M. Dylan Tisdall,et al. Head motion during MRI acquisition reduces gray matter volume and thickness estimates , 2015, NeuroImage.
[42] Anders M. Dale,et al. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature , 2010, NeuroImage.
[43] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[44] Anders M. Dale,et al. MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths , 2009, NeuroImage.
[45] Mert R. Sabuncu,et al. Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data ⁎ for the Alzheimer's Disease Neuroimaging Initiative 1 , 2022 .
[46] Larson J. Hogstrom,et al. The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification. , 2013, Cerebral cortex.
[47] G. Cumming. The New Statistics: Why and How , 2013 .
[48] A. Dale,et al. Regional and progressive thinning of the cortical ribbon in Huntington’s disease , 2002, Neurology.
[49] D. V. Essen,et al. Cognitive neuroscience 2.0: building a cumulative science of human brain function , 2010, Trends in Cognitive Sciences.
[50] Allan Donner,et al. Testing the equality of dependent intraclass correlation coefficients , 2002 .
[51] Sébastien Ourselin,et al. A comparison of voxel and surface based cortical thickness estimation methods , 2011, NeuroImage.
[52] Claude Lepage,et al. Mapping reliability in multicenter MRI: Voxel‐based morphometry and cortical thickness , 2010, Human brain mapping.
[53] Ingrid Agartz,et al. A common MECP2 haplotype associates with reduced cortical surface area in humans in two independent populations , 2009, Proceedings of the National Academy of Sciences.
[54] Marianna D. Eddy,et al. Regionally localized thinning of the cerebral cortex in schizophrenia , 2003, Schizophrenia Research.
[55] Lutz Jäncke,et al. Cortical surface area and cortical thickness demonstrate differential structural asymmetry in auditory-related areas of the human cortex. , 2014, Cerebral cortex.
[56] Stefan Klöppel,et al. BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease , 2013, PloS one.
[57] Nikolaus Weiskopf,et al. A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging , 2009, NeuroImage.
[58] Jacob Cohen,et al. A power primer. , 1992, Psychological bulletin.
[59] A. Dale,et al. The Genetic Association Between Neocortical Volume and General Cognitive Ability Is Driven by Global Surface Area Rather Than Thickness. , 2015, Cerebral cortex.
[60] Giovanni B. Frisoni,et al. Brain morphometry reproducibility in multi-center 3T MRI studies: A comparison of cross-sectional and longitudinal segmentations , 2013, NeuroImage.
[61] Lutz Jäncke,et al. Longitudinal reliability of tract‐based spatial statistics in diffusion tensor imaging , 2014, Human brain mapping.
[62] André J. W. van der Kouwe,et al. Reliability of MRI-derived cortical and subcortical morphometric measures: Effects of pulse sequence, voxel geometry, and parallel imaging , 2009, NeuroImage.
[63] Allan Donner,et al. Sample size requirements for the design of reliability study: review and new results , 2004 .
[64] J. Ware,et al. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. , 1996, Medical care.
[65] Anders M. Dale,et al. Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.
[66] André J. W. van der Kouwe,et al. Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths , 2008, NeuroImage.
[67] Nancy Kanwisher,et al. Spurious group differences due to head motion in a diffusion MRI study , 2013, NeuroImage.
[68] K. Mills,et al. Methods and considerations for longitudinal structural brain imaging analysis across development , 2014, Developmental Cognitive Neuroscience.
[69] Mohamed Shoukri,et al. Sample size requirements for the design of a reliability study , 2003 .
[70] Suzanne E. Welcome,et al. Mapping cortical change across the human life span , 2003, Nature Neuroscience.
[71] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.