Birth weight is associated with brain tissue volumes seven decades later but not with MRI markers of brain ageing

[1]  C. Marino,et al.  Association of Intrauterine Growth Restriction and Small for Gestational Age Status With Childhood Cognitive Outcomes: A Systematic Review and Meta-analysis. , 2020, JAMA pediatrics.

[2]  C. Nosarti,et al.  The neurobiological correlates of cognitive outcomes in adolescence and adulthood following very preterm birth. , 2020, Seminars in fetal & neonatal medicine.

[3]  D. Bennett,et al.  Associations Between Cardiovascular Risk, Structural Brain Changes, and Cognitive Decline , 2020, Journal of the American College of Cardiology.

[4]  E. Tucker-Drob.  Cognitive Aging and Dementia: A Life Span Perspective. , 2019, Annual review of developmental psychology.

[5]  S. Counsell,et al.  Factors associated with atypical brain development in preterm infants: insights from magnetic resonance imaging. , 2019, Neuropathology and applied neurobiology.

[6]  L. Jäncke,et al.  Weak correlations between body height and several brain metrics in healthy elderly subjects , 2019, The European journal of neuroscience.

[7]  Stuart J. Ritchie,et al.  Brain Peak Width of Skeletonized Mean Diffusivity (PSMD) and Cognitive Function in Later Life , 2019, Front. Psychiatry.

[8]  Stuart J. Ritchie,et al.  Structural brain imaging correlates of general intelligence in UK Biobank , 2019, Intelligence.

[9]  Tracy R. Melzer,et al.  Altered grey matter volume, perfusion and white matter integrity in very low birthweight adults , 2019, NeuroImage: Clinical.

[10]  Mark E Bastin,et al.  Associations between vascular risk factors and brain MRI indices in UK Biobank , 2019, bioRxiv.

[11]  W. M. van der Flier,et al.  Is intracranial volume a suitable proxy for brain reserve? , 2018, Alzheimer's research & therapy.

[12]  M. Mallar Chakravarty,et al.  Normative brain size variation and brain shape diversity in humans , 2018, Science.

[13]  I. Deary,et al.  Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936 , 2018, International journal of epidemiology.

[14]  David Alexander Dickie,et al.  Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age , 2017, Human brain mapping.

[15]  Emma J. Telford,et al.  A latent measure explains substantial variance in white matter microstructure across the newborn human brain , 2017, Brain Structure and Function.

[16]  Joanna M. Wardlaw,et al.  Risk and protective factors for structural brain ageing in the eighth decade of life , 2017, Brain Structure and Function.

[17]  Paul M. Thompson,et al.  Volumetric grey matter alterations in adolescents and adults born very preterm suggest accelerated brain maturation , 2017, NeuroImage.

[18]  M. Meaney,et al.  Fetal Origins of Mental Health: The Developmental Origins of Health and Disease Hypothesis. , 2017, The American journal of psychiatry.

[19]  Shujing Jane Lim,et al.  Birth weight and cognitive ability in adulthood: A systematic review and meta-analysis , 2017 .

[20]  Joanna M. Wardlaw,et al.  A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS) , 2017, NeuroImage.

[21]  A. Svenningsson,et al.  Brain Parenchymal Fraction in Healthy Adults—A Systematic Review of the Literature , 2017, PloS one.

[22]  Mark E Bastin,et al.  Ageing and brain white matter structure in 3,513 UK Biobank participants , 2016, Nature Communications.

[23]  F. de Leeuw,et al.  A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms , 2016, Annals of neurology.

[24]  Stine K. Krogsrud,et al.  Neurodevelopmental origins of lifespan changes in brain and cognition , 2016, Proceedings of the National Academy of Sciences.

[25]  V. Gudnason,et al.  Late-life brain volume: a life-course approach. The AGES-Reykjavik study , 2016, Neurobiology of Aging.

[26]  Martin Voracek,et al.  Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean? , 2015, Neuroscience & Biobehavioral Reviews.

[27]  A. Herlitz,et al.  A Life-Course Study of Cognitive Reserve in Dementia--From Childhood to Old Age. , 2015, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[28]  Stuart J. Ritchie,et al.  Beyond a bigger brain: Multivariable structural brain imaging and intelligence , 2015, Intelligence.

[29]  S. Leurgans,et al.  Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment , 2015, Brain Structure and Function.

[30]  V. Gudnason,et al.  Birth Size and Brain Function 75 Years Later , 2014, Pediatrics.

[31]  Joanna M. Wardlaw,et al.  Estimated maximal and current brain volume predict cognitive ability in old age , 2013, Neurobiology of Aging.

[32]  Knut Jørgen Bjuland,et al.  Cortical thickness and cognition in very-low-birth-weight late teenagers. , 2013, Early human development.

[33]  Linda Chang,et al.  Long-term influence of normal variation in neonatal characteristics on human brain development , 2012, Proceedings of the National Academy of Sciences.

[34]  Yves Rosseel,et al.  lavaan: An R Package for Structural Equation Modeling , 2012 .

[35]  I. Deary,et al.  Brain Aging, Cognition in Youth and Old Age and Vascular Disease in the Lothian Birth Cohort 1936: Rationale, Design and Methodology of the Imaging Protocol* , 2011, International journal of stroke : official journal of the International Stroke Society.

[36]  Amos Storkey,et al.  TractoR: Magnetic Resonance Imaging and Tractography with R , 2011 .

[37]  Frederik Barkhof,et al.  Global and Regional Differences in Brain Anatomy of Young Children Born Small for Gestational Age , 2011, PloS one.

[38]  I. Deary,et al.  Placing inspection time, reaction time, and perceptual speed in the broader context of cognitive ability: The VPR model in the Lothian Birth Cohort 1936 , 2011 .

[39]  Jean A. Frazier,et al.  Statistical adjustments for brain size in volumetric neuroimaging studies: Some practical implications in methods , 2011, Psychiatry Research: Neuroimaging.

[40]  C. DeCarli,et al.  Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline , 2011, Alzheimer's & Dementia.

[41]  Ian J Deary,et al.  Stability and change in intelligence from age 11 to ages 70, 79, and 87: the Lothian Birth Cohorts of 1921 and 1936. , 2011, Psychology and aging.

[42]  Gro C. Christensen Løhaugen,et al.  Young adults born preterm with very low birth weight demonstrate widespread white matter alterations on brain DTI , 2011, NeuroImage.

[43]  V. Jaddoe,et al.  Early influences on cardiovascular and renal development , 2010, European Journal of Epidemiology.

[44]  I. Deary,et al.  Location in cognitive and residential space at age 70 reflects a lifelong trait over parental and environmental circumstances: the Lothian Birth Cohort 1936 , 2010 .

[45]  Joanna M. Wardlaw,et al.  A General Factor of Brain White Matter Integrity Predicts Information Processing Speed in Healthy Older People , 2010, The Journal of Neuroscience.

[46]  Karen J. Ferguson,et al.  New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images , 2010, European Radiology.

[47]  Mark E Bastin,et al.  Birth Parameters Are Associated With Late-Life White Matter Integrity in Community-Dwelling Older People , 2009, Stroke.

[48]  Ian J. Deary,et al.  Birth Parameters and Cognitive Ability in Older Age: A Follow-Up Study of People Born 1921–1926 , 2008, Gerontology.

[49]  P. Visscher,et al.  The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond , 2007, BMC geriatrics.

[50]  Ian J. Deary,et al.  Does childhood intelligence predict variation in cognitive change in later life , 2007 .

[51]  J. Eriksson,et al.  Birth size, adult body composition and muscle strength in later life , 2007, International Journal of Obesity.

[52]  A. Dale,et al.  Clinical findings and white matter abnormalities seen on diffusion tensor imaging in adolescents with very low birth weight. , 2007, Brain : a journal of neurology.

[53]  Anders M. Dale,et al.  Changes in white matter diffusion anisotropy in adolescents born prematurely , 2006, NeuroImage.

[54]  Nikos Makris,et al.  Adjustment for whole brain and cranial size in volumetric brain studies: a review of common adjustment factors and statistical methods. , 2006, Harvard review of psychiatry.

[55]  R. D'Agostino,et al.  Association of white matter hyperintensity volume with decreased cognitive functioning: the Framingham Heart Study. , 2006, Archives of neurology.

[56]  I. Deary,et al.  Does mother's IQ explain the association between birth weight and cognitive ability in childhood? , 2005 .

[57]  G. Tell,et al.  Size at Birth and Gestational Age as Predictors of Adult Height and Weight , 2005, Epidemiology.

[58]  D. Barker,et al.  The Developmental Origins of Adult Disease , 2004, Journal of the American College of Nutrition.

[59]  I. Deary,et al.  Birth weight and cognitive ability in childhood: a systematic review. , 2004, Psychological bulletin.

[60]  B. Winblad,et al.  Intracranial volume in mild cognitive impairment, Alzheimer's disease and vascular dementia: evidence for brain reserve? , 2004 .

[61]  B. Winblad,et al.  Intracranial volume in mild cognitive impairment, Alzheimer's disease and vascular dementia: evidence for brain reserve? , 2004, International journal of geriatric psychiatry.

[62]  M. Richards,et al.  Cognitive ability in childhood and cognitive decline in mid-life: longitudinal birth cohort study , 2003, BMJ : British Medical Journal.

[63]  I. Deary,et al.  Birth weight and cognitive function at age 11 years: the Scottish Mental Survey 1932 , 2001, Archives of disease in childhood.

[64]  A. Hockley,et al.  Intracranial volume change in craniosynostosis. , 1999, Journal of neurosurgery.

[65]  K. Rothman,et al.  Birth weight and length as predictors for adult height. , 1999, American journal of epidemiology.

[66]  D D Blatter,et al.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. , 1995, AJNR. American journal of neuroradiology.

[67]  C Osmond,et al.  Early growth and death from cardiovascular disease in women. , 1993, BMJ.

[68]  M. Posada de la Paz,et al.  CLINICAL FINDINGS , 1978, WHO regional publications. European series.

[69]  A. Giorgio,et al.  Peak width of skeletonized mean diffusivity (PSMD) as marker of widespread white matter tissue damage in multiple sclerosis. , 2019, Multiple sclerosis and related disorders.

[70]  I. Deary,et al.  Psychological and physical health at age 70 in the Lothian Birth Cohort 1936: links with early life IQ, SES, and current cognitive function and neighborhood environment. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[71]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[72]  E. Sheiner.  Birth weight. , 1977, British medical journal.