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Comparison of approaches to control for intracranial volume in research on the association of brain volumes with cognitive outcomes
by
Yang, Yulin
, Hill‐Jarrett, Tanisha
, Buto, Peter
, Zimmerman, Scott C.
, Lacar, Benjamin
, Sims, Kendra D.
, Chen, Ruijia
, La Joie, Renaud
, Ackley, Sarah F.
, Wang, Jingxuan
, Glymour, M. Maria
, Caunca, Michelle R.
, Choi, Minhyuk
, DeVost, Michelle A.
, Ferguson, Erin
, Pederson, Annie
in
Alzheimer's disease
/ Biobanks
/ Biological effects
/ Brain
/ Brain - diagnostic imaging
/ Brain research
/ brain‐wide association studies
/ Cognition
/ Cognition & reasoning
/ Cognitive ability
/ cognitive aging
/ Confidence intervals
/ Dementia
/ Estimates
/ Health services
/ Hippocampus
/ Humans
/ Intelligence
/ intracranial volume correction
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Middle Aged
/ Neuroimaging
/ Quality control
/ Regression analysis
/ Regression models
/ Reproducibility
/ Software
/ Statistical analysis
/ structural magnetic resonance imaging
2024
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Comparison of approaches to control for intracranial volume in research on the association of brain volumes with cognitive outcomes
by
Yang, Yulin
, Hill‐Jarrett, Tanisha
, Buto, Peter
, Zimmerman, Scott C.
, Lacar, Benjamin
, Sims, Kendra D.
, Chen, Ruijia
, La Joie, Renaud
, Ackley, Sarah F.
, Wang, Jingxuan
, Glymour, M. Maria
, Caunca, Michelle R.
, Choi, Minhyuk
, DeVost, Michelle A.
, Ferguson, Erin
, Pederson, Annie
in
Alzheimer's disease
/ Biobanks
/ Biological effects
/ Brain
/ Brain - diagnostic imaging
/ Brain research
/ brain‐wide association studies
/ Cognition
/ Cognition & reasoning
/ Cognitive ability
/ cognitive aging
/ Confidence intervals
/ Dementia
/ Estimates
/ Health services
/ Hippocampus
/ Humans
/ Intelligence
/ intracranial volume correction
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Middle Aged
/ Neuroimaging
/ Quality control
/ Regression analysis
/ Regression models
/ Reproducibility
/ Software
/ Statistical analysis
/ structural magnetic resonance imaging
2024
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Comparison of approaches to control for intracranial volume in research on the association of brain volumes with cognitive outcomes
by
Yang, Yulin
, Hill‐Jarrett, Tanisha
, Buto, Peter
, Zimmerman, Scott C.
, Lacar, Benjamin
, Sims, Kendra D.
, Chen, Ruijia
, La Joie, Renaud
, Ackley, Sarah F.
, Wang, Jingxuan
, Glymour, M. Maria
, Caunca, Michelle R.
, Choi, Minhyuk
, DeVost, Michelle A.
, Ferguson, Erin
, Pederson, Annie
in
Alzheimer's disease
/ Biobanks
/ Biological effects
/ Brain
/ Brain - diagnostic imaging
/ Brain research
/ brain‐wide association studies
/ Cognition
/ Cognition & reasoning
/ Cognitive ability
/ cognitive aging
/ Confidence intervals
/ Dementia
/ Estimates
/ Health services
/ Hippocampus
/ Humans
/ Intelligence
/ intracranial volume correction
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Middle Aged
/ Neuroimaging
/ Quality control
/ Regression analysis
/ Regression models
/ Reproducibility
/ Software
/ Statistical analysis
/ structural magnetic resonance imaging
2024
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Comparison of approaches to control for intracranial volume in research on the association of brain volumes with cognitive outcomes
Journal Article
Comparison of approaches to control for intracranial volume in research on the association of brain volumes with cognitive outcomes
2024
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Overview
Most neuroimaging studies linking regional brain volumes with cognition correct for total intracranial volume (ICV), but methods used for this correction differ across studies. It is unknown whether different ICV correction methods yield consistent results. Using a brain‐wide association approach in the MRI substudy of UK Biobank (N = 41,964; mean age = 64.5 years), we used regression models to estimate the associations of 58 regional brain volumetric measures with eight cognitive outcomes, comparing no correction and four ICV correction approaches. Approaches evaluated included: no correction; dividing regional volumes by ICV (proportional approach); including ICV as a covariate in the regression (adjustment approach); and regressing the regional volumes against ICV in different normative samples and using calculated residuals to determine associations (residual approach). We used Spearman‐rank correlations and two consistency measures to quantify the extent to which associations were inconsistent across ICV correction approaches for each possible brain region and cognitive outcome pair across 2320 regression models. When the association between brain volume and cognitive performance was close to null, all approaches produced similar estimates close to the null. When associations between a regional volume and cognitive test were not null, the adjustment and residual approaches typically produced similar estimates, but these estimates were inconsistent with results from the crude and proportional approaches. For example, when using the crude approach, an increase of 0.114 (95% confidence interval [CI]: 0.103–0.125) in fluid intelligence was associated with each unit increase in hippocampal volume. However, when using the adjustment approach, the increase was 0.055 (95% CI: 0.043–0.068), while the proportional approach showed a decrease of −0.025 (95% CI: −0.035 to −0.014). Different commonly used methods to correct for ICV yielded inconsistent results. The proportional method diverges notably from other methods and results were sometimes biologically implausible. A simple regression adjustment for ICV produced biologically plausible associations. Different commonly used methods to correct for intracranial volume (ICV) yielded inconsistent results, representing significant challenges for reproducibility in neuroimaging research. The proportional method diverges notably from other methods and results were sometimes biologically implausible. A simple regression adjustment for ICV produced biologically plausible associations.
Publisher
John Wiley & Sons, Inc
Subject
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