Related references
Note: Only part of the references are listed.Common brain disorders are associated with heritable patterns of apparent aging of the brain
Tobias Kaufmann et al.
NATURE NEUROSCIENCE (2019)
Brain age predicts mortality
J. H. Cole et al.
MOLECULAR PSYCHIATRY (2018)
Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways
Mats Nagel et al.
NATURE GENETICS (2018)
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
James J. Lee et al.
NATURE GENETICS (2018)
Statistical Challenges in Big Data'' Human Neuroimaging
Stephen M. Smith et al.
NEURON (2018)
Lig4-4 selectively inhibits TREK-1 and plays potent neuroprotective roles in vitro and in rat MCAO model
Weiping Wang et al.
NEUROSCIENCE LETTERS (2018)
Analysis of shared heritability in common disorders of the brain
Verneri Anttila et al.
SCIENCE (2018)
Genome-wide association studies of brain imaging phenotypes in UK Biobank
Lloyd T. Elliott et al.
NATURE (2018)
The UK Biobank resource with deep phenotyping and genomic data
Clare Bycroft et al.
NATURE (2018)
Genetic effects on gene expression across human tissues
Francois Aguet et al.
NATURE (2017)
A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk loci
Diana Chang et al.
NATURE GENETICS (2017)
TREK-1 pathway mediates isoflurane-induced memory impairment in middle-aged mice
Yanhui Cai et al.
NEUROBIOLOGY OF LEARNING AND MEMORY (2017)
Predicting brain-age from multimodal imaging data captures cognitive impairment
Franziskus Liem et al.
NEUROIMAGE (2017)
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
James H. Cole et al.
NEUROIMAGE (2017)
Selection against variants in the genome associated with educational attainment
Augustine Kong et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk
Nicola Pirastu et al.
NATURE COMMUNICATIONS (2017)
Colocalization of GWAS and eQTL Signals Detects Target Genes
Farhad Hormozdiari et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2016)
Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study
Hugo G. Schnack et al.
AMERICAN JOURNAL OF PSYCHIATRY (2016)
Differences between chronological and brain age are related to education and self-reported physical activity
Jason Steffener et al.
NEUROBIOLOGY OF AGING (2016)
Estimating brain age using high-resolution pattern recognition: Younger brains in long-term meditation practitioners
Eileen Luders et al.
NEUROIMAGE (2016)
Prediction of Brain Age Suggests Accelerated Atrophy after Traumatic Brain Injury
James H. Cole et al.
ANNALS OF NEUROLOGY (2015)
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Brendan K. Bulik-Sullivan et al.
NATURE GENETICS (2015)
Efficient Bayesian mixed-model analysis increases association power in large cohorts
Po-Ru Loh et al.
NATURE GENETICS (2015)
Head motion during MRI acquisition reduces gray matter volume and thickness estimates
Martin Reuter et al.
NEUROIMAGE (2015)
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Cathie Sudlow et al.
PLOS MEDICINE (2015)
Ageing and Parkinson's disease: Why is advancing age the biggest risk factor?
Amy Reeve et al.
AGEING RESEARCH REVIEWS (2014)
TREK-King the Blood-Brain-Barrier
Stefan Bittner et al.
JOURNAL OF NEUROIMMUNE PHARMACOLOGY (2014)
Age estimation using cortical surface pattern combining thickness with curvatures
Jieqiong Wang et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2014)
Accelerated Brain Aging in Schizophrenia and Beyond: A Neuroanatomical Marker of Psychiatric Disorders
Nikolaos Koutsouleris et al.
SCHIZOPHRENIA BULLETIN (2014)
BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease
Christian Gaser et al.
PLOS ONE (2013)
Brain maturation: Predicting individual BrainAGE in children and adolescents using structural MRI
Katja Franke et al.
NEUROIMAGE (2012)
DEMENTIA A problem for our age
Alison Abbott
NATURE (2011)
What cognitive abilities are involved in trail-making performance?
Timothy A. Salthouse
INTELLIGENCE (2011)
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters
Katja Franke et al.
NEUROIMAGE (2010)
Age-associated cognitive decline
Ian J. Deary et al.
BRITISH MEDICAL BULLETIN (2009)
A fast diffeomorphic image registration algorithm
John Ashburner
NEUROIMAGE (2007)
Accelerated brain gray matter loss in fibromyalgia patients: Premature aging of the brain?
Anil Kuchinad et al.
JOURNAL OF NEUROSCIENCE (2007)
A new chromosome 17q21.31 microdeletion syndrome associated with a common inversion polymorphism
David A. Koolen et al.
NATURE GENETICS (2006)
A common inversion under selection in Europeans
H Stefansson et al.
NATURE GENETICS (2005)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)
Runx2 control of organization, assembly and activity of the regulatory machinery for skeletal gene expression
GS Stein et al.
ONCOGENE (2004)
The role of tau (MAPT) in frontotemporal dementia and related tauopathies
R Rademakers et al.
HUMAN MUTATION (2004)
The effects of human population structure on large genetic association studies
J Marchini et al.
NATURE GENETICS (2004)
Distribution and expression of trek-1, a two-pore-domain potassium channel, in the adult rat CNS
GJ Hervieu et al.
NEUROSCIENCE (2001)
Measuring the thickness of the human cerebral cortex from magnetic resonance images
B Fischl et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2000)
Share Paper
