GuidelineBMC bioinformatics2015
A practical guideline for intracranial volume estimation in patients with Alzheimer's disease.
Guideline in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Intracranial volume variation in Chinchorro mummies: a comparative study with pre-hispanic farmers and contemporary Chilean populations.Scientific reports · 2025Article
- Microstructural grey matter alterations in patients with behavioural variant frontotemporal dementia.Brain communications · 2025Article
- Contracted functional connectivity profiles in autism.Molecular autism · 2024Article
- Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Different FreeSurfer versions might generate different statistical outcomes in case-control comparison studies.Neuroradiology · 2022Article
- Qualitative and Quantitative Comparison of Hippocampal Volumetric Software Applications: Do All Roads Lead to Rome?Biomedicines · 2022Article
- Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer's Disease.Journal of the American Statistical Association · 2022Article
- Accurate Estimation of Total Intracranial Volume in MRI using a Multi-tasked Image-to-Image Translation Network.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging.Journal of neuroscience methods · 2020Article
- Easy Identification of Optimal Coronal Slice on Brain Magnetic Resonance Imaging to Measure Hippocampal Area in Alzheimer's Disease Patients.BioMed research international · 2020Article
- Differences in Total Brain Volume between Sexes in a Cognitively Unimpaired Elderly Population.Clinics (Sao Paulo, Brazil) · 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
- Neuroimaging in Fabry disease: current knowledge and future directions.Insights into imaging · 2018Review
- 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
- Neuroprotective effect of matrine on MPTP-induced Parkinson's disease and on Nrf2 expression.Oncology letters · 2017Article
- Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback.Frontiers in aging neuroscience · 2017Review
- Protective Effect of Puerarin Against Oxidative Stress Injury of Neural Cells and Related Mechanisms.Medical science monitor : international medical journal of experimental and clinical research · 2016Article
- Hippocampal and amygdala subfield volumes in obsessive-compulsive disorder by medication status.Journal of psychiatry & neuroscience : JPNArticle
- Quantitative evaluation of brain volume among elderly individuals in São Paulo, Brazil: a population-based study.Radiologia brasileiraArticle
Corrections and comments
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Authors and funding
10 authors.
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Abstract
backgroundIntracranial volume (ICV) is an important normalization measure used in morphometric analyses to correct for head size in studies of Alzheimer Disease (AD). Inaccurate ICV estimation could introduce bias in the outcome. The current study provides a decision aid in defining protocols for ICV estimation in patients with Alzheimer disease in terms of sampling frequencies that can be optimally used on the volumetric MRI data, and the type of software most suitable for use in estimating the ICV measure.
methodsTwo groups of 22 subjects are considered, including adult controls (AC) and patients with Alzheimer Disease (AD). Reference measurements were calculated for each subject by manually tracing intracranial cavity by the means of visual inspection. The reliability of reference measurements were assured through intra- and inter- variation analyses. Three publicly well-known software packages (Freesurfer, FSL, and SPM) were examined in their ability to automatically estimate ICV across the groups.
resultsAnalysis of the results supported the significant effect of estimation method, gender, cognitive condition of the subject and the interaction among method and cognitive condition factors in the measured ICV. Results on sub-sampling studies with a 95% confidence showed that in order to keep the accuracy of the interleaved slice sampling protocol above 99%, the sampling period cannot exceed 20 millimeters for AC and 15 millimeters for AD. Freesurfer showed promising estimates for both adult groups. However SPM showed more consistency in its ICV estimation over the different phases of the study.
conclusionsThis study emphasized the importance in selecting the appropriate protocol, the choice of the sampling period in the manual estimation of ICV and selection of suitable software for the automated estimation of ICV. The current study serves as an initial framework for establishing an appropriate protocol in both manual and automatic ICV estimations with different subject populations.
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