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Anders M Dale

Biographic Data

ID3862503
NAMEAnders M Dale
GIVEN NAMESAnders M
FAMILY NAMEDale
SIGNATUREDALE A M
AFFILIATIONSUniversity of California San Diego
VERIFIEDNo
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1999
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Cortical Surface Area Profile Mediates Effects of Childhood Disadvantage on Later-Life General Cognitive Ability

    Open Access•Rongxiang Tang, Jeremy A Elman et al.•ARTICLE•The Journals of Gerontology…•2024•References: 2

    Childhood disadvantage may contribute to later-life GCA differences partly by influencing the spatial patterning of cortical SA in a way that deviates from the normative cortical organizational principle

  • Unique prediction of developmental psychopathology from genetic and familial risk

    Open Access•Robert Loughnan, Robert J Loughnan et al.•ARTICLE•Journal of Child Psychology and…•2022

    Background Early detection is critical for easing the rising burden of psychiatric disorders. However, the specificity of psychopathological measurements and genetic predictors is unclear among youth. Methods We measured associations between genetic risk for psychopathology (polygenic risk scores (PRS) and family history (FH) measures) and a wide range of behavioral measures in a large sample ( n = 5,204) of early adolescent participants (9–11 ye…

  • Genetic loci shared between major depression and intelligence with mixed directions of effect

    Open Access•Shahram Bahrami, Alexey A Shadrin et al.•ARTICLE•Nature Human Behaviour•2021•References: 45

  • The Adolescent Brain Cognitive Development (ABCD) study

    Open Access•B J Casey, Tariq Cannonier et al.•ARTICLE•Developmental Cognitive…•2018

    The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and add…

  • Family income, parental education and brain structure in children and adolescents

    Open Access•Kimberly G Noble, Suzanne M Houston et al.•ARTICLE•Nature Neuroscience•2015

  • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

    Open Access•Rahul S Desikan, Florent Ségonne et al.•ARTICLE•NeuroImage•2006

  • Whole Brain Segmentation

    Open Access•Bruce Fischl, David H Salat et al.•ARTICLE•Neuron•2002

  • Cortical Surface-Based Analysis

    Open Access•Angela M Dale, Anders M Dale et al.•ARTICLE•NeuroImage•1999

No prominent works on this page.

  • Cortical Surface-Based Analysis

    Open Access•Angela M Dale, Anders M Dale et al.•ARTICLE•NeuroImage•1999

  • Whole Brain Segmentation

    Open Access•Bruce Fischl, David H Salat et al.•ARTICLE•Neuron•2002

  • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

    Open Access•Rahul S Desikan, Florent Ségonne et al.•ARTICLE•NeuroImage•2006

  • Family income, parental education and brain structure in children and adolescents

    Open Access•Kimberly G Noble, Suzanne M Houston et al.•ARTICLE•Nature Neuroscience•2015

  • The Adolescent Brain Cognitive Development (ABCD) study

    Open Access•B J Casey, Tariq Cannonier et al.•ARTICLE•Developmental Cognitive…•2018

    The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and add…

  • Genetic loci shared between major depression and intelligence with mixed directions of effect

    Open Access•Shahram Bahrami, Alexey A Shadrin et al.•ARTICLE•Nature Human Behaviour•2021•References: 45

  • Unique prediction of developmental psychopathology from genetic and familial risk

    Open Access•Robert Loughnan, Robert J Loughnan et al.•ARTICLE•Journal of Child Psychology and…•2022

    Background Early detection is critical for easing the rising burden of psychiatric disorders. However, the specificity of psychopathological measurements and genetic predictors is unclear among youth. Methods We measured associations between genetic risk for psychopathology (polygenic risk scores (PRS) and family history (FH) measures) and a wide range of behavioral measures in a large sample ( n = 5,204) of early adolescent participants (9–11 ye…

  • Cortical Surface Area Profile Mediates Effects of Childhood Disadvantage on Later-Life General Cognitive Ability

    Open Access•Rongxiang Tang, Jeremy A Elman et al.•ARTICLE•The Journals of Gerontology…•2024•References: 2

    Childhood disadvantage may contribute to later-life GCA differences partly by influencing the spatial patterning of cortical SA in a way that deviates from the normative cortical organizational principle

Psychology (7 works) · Neuroscience (6 works) · Computer Science (5 works) · Functional Brain Connectivity Studies (5 works) · Cognition (4 works) · Developmental psychology (4 works) · Artificial Intelligence (3 works) · Cognitive Abilities and Testing (3 works) · Attention Deficit Hyperactivity Disorder (2 works) · Cerebral cortex (2 works)

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