ArticleNeuroinformatics2015
Estimating Intracranial Volume in Brain Research: An Evaluation of Methods.
Article in Neuroinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Behavioral adjustment moderates the effect of neuroticism on brain volume relative to intracranial volume.Journal of personality · 2024Article
- Longitudinal changes in brain-derived neurotrophic factor (BDNF) but not cytokines contribute to hippocampal recovery in anorexia nervosa above increases in body mass index.Psychological medicine · 2024Article
- Differential longitudinal changes of hippocampal subfields in patients with anorexia nervosa.Psychiatry and clinical neurosciences · 2024Article
- Differential alterations of amygdala nuclei volumes in acutely ill patients with anorexia nervosa and their associations with leptin levels.Psychological medicine · 2023Article
- A comparison of intracranial volume estimation methods and their cross-sectional and longitudinal associations with age.Human brain mapping · 2022Article
- Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children.Frontiers in computational neuroscience · 2021Article
- Klotho gene polymorphism, brain structure and cognition in early-life development.Brain imaging and behavior · 2020Article
- A distributed multitask multimodal approach for the prediction of Alzheimer's disease in a longitudinal study.NeuroImage · 2020Article
- Whole Brain and Cranial Size Adjustments in Volumetric Brain Analyses of Sex- and Age-Related Trends.Frontiers in neuroscience · 2020Article
- Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database.Human brain mapping · 2019Article
- Lifetime major depression and grey-matter volumeJournal of psychiatry & neuroscience : JPN · 2019Article
- A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- Altered Associations between Pain Symptoms and Brain Morphometry in the Pain Matrix of HIV-Seropositive Individuals.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2018Article
- Awakening Neuropsychiatric Research Into the Stria Medullaris: Development of a Diffusion-Weighted Imaging Tractography Protocol of This Key Limbic Structure.Frontiers in neuroanatomy · 2018Article
- Fast CSF MRI for brain segmentation; Cross-validation by comparison with 3D T1-based brain segmentation methods.PloS one · 2018Article
- Reduced Intracranial Volume in Fabry Disease: Evidence of Abnormal Neurodevelopment?Frontiers in neurology · 2018Article
- Age-related differences in the structural complexity of subcortical and ventricular structures.Neurobiology of aging · 2017Article
- Hippocampal Structure Predicts Statistical Learning and Associative Inference Abilities during Development.Journal of cognitive neuroscience · 2017Article
- Cortical complexity as a measure of age-related brain atrophy.NeuroImage · 2016Article
- A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity.NeuroImage. Clinical · 2016Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intracranial volume (ICV) is a standard measure often used in morphometric analyses to correct for head size in brain studies. Inaccurate ICV estimation could introduce bias in the outcome. The current study provides a decision aid in defining protocols for ICV estimation across different subject groups in terms of sampling frequencies that can be optimally used on the volumetric MRI data, and type of software most suitable for use in estimating the ICV measure. Four groups of 53 subjects are considered, including adult controls (AC, adults with Alzheimer's disease (AD), pediatric controls (PC) and group of pediatric epilepsy subjects (PE). Reference measurements were calculated for each subject by manually tracing intracranial cavity without sub-sampling. The reliability of reference measurements were assured through intra- and inter- variation analyses. Three publicly well-known software packages (FreeSurfer Ver. 5.3.0, FSL Ver. 5.0, SPM8 and SPM12) were examined in their ability to automatically estimate ICV across the groups. Results on sub-sampling studies with a 95 % confidence showed that in order to keep the accuracy of the inter-leaved slice sampling protocol above 99 %, sampling period cannot exceed 20 mm for AC, 25 mm for PC, 15 mm for AD and 17 mm for the PE groups. The study assumes a priori knowledge about the population under study into the automated ICV estimation. Tuning of the parameters in FSL and the use of proper atlas in SPM showed significant reduction in the systematic bias and the error in ICV estimation via these automated tools. SPM12 with the use of pediatric template is found to be a more suitable candidate for PE group. SPM12 and FSL subjected to tuning are the more appropriate tools for the PC group. The random error is minimized for FS in AD group and SPM8 showed less systematic bias. Across the AC group, both SPM12 and FS performed well but SPM12 reported lesser amount of systematic bias.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.