ArticleFrontiers in neuroinformatics2009
Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.
Article in Frontiers in neuroinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 73 citations in OpenAlex.
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- Brain morphological variability between whites and African Americans: the importance of racial identity in brain imaging research.Frontiers in integrative neuroscience · 2023Article
- Long-term fasting: Multi-system adaptations in humans (GENESIS) study-A single-arm interventional trial.Frontiers in nutrition · 2022Article
- Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses.Frontiers in neurology · 2022Review
- Maternal psychological distress during the COVID-19 pandemic and structural changes of the human fetal brain.Communications medicine · 2022Article
- Morphological changes after cranial fractionated photon radiotherapy: Localized loss of white matter and grey matter volume with increasing dose.Clinical and translational radiation oncology · 2021Article
- Replication of Previous Findings? Comparing Gray Matter Volumes in Transgender Individuals with Gender Incongruence and Cisgender Individuals.Journal of clinical medicine · 2021Article
- Association Between Socioeconomic Status and In Utero Fetal Brain Development.JAMA network open · 2021Article
- "Mickey Mousing" in the Brain: Motion-Sound Synesthesia and the Subcortical Substrate of Audio-Visual Integration.Frontiers in human neuroscience · 2021Article
- Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study.Neuroinformatics · 2020Article
- Emergence of structure in mouse embryos: Structural Entropy morphometry applied to digital models of embryonic anatomy.Journal of anatomy · 2019Article
- Short-term Sahaja Yoga meditation training modulates brain structure and spontaneous activity in the executive control network.Brain and behavior · 2019Article
- Characterization of brain anatomical patterns by comparing region intensity distributions: Applications to the description of Alzheimer's disease.Brain and behavior · 2018Article
- Test-retest reliability of brain morphology estimates.Brain informatics · 2017Article
- Neuroanatomical correlates of forgiving unintentional harms.Scientific reports · 2017Article
- The numerical stability of transformation-based CT ventilation.International journal of computer assisted radiology and surgery · 2017Article
- An Optimal Transportation based Univariate Neuroimaging Index.Proceedings. IEEE International Conference on Computer Vision · 2017Article
- Cortical complexity as a measure of age-related brain atrophy.NeuroImage · 2016Article
- Differences in Cortical Representation and Structural Connectivity of Hands and Feet between Professional Handball Players and Ballet Dancers.Neural plasticity · 2016Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The brain, like any living tissue, is constantly changing in response to genetic and environmental cues and their interaction, leading to changes in brain function and structure, many of which are now in reach of neuroimaging techniques. Computational morphometry on the basis of Magnetic Resonance (MR) images has become the method of choice for studying macroscopic changes of brain structure across time scales. Thanks to computational advances and sophisticated study designs, both the minimal extent of change necessary for detection and, consequently, the minimal periods over which such changes can be detected have been reduced considerably during the last few years. On the other hand, the growing availability of MR images of more and more diverse brain populations also allows more detailed inferences about brain changes that occur over larger time scales, way beyond the duration of an average research project. On this basis, a whole range of issues concerning the structures and functions of the brain are now becoming addressable, thereby providing ample challenges and opportunities for further contributions from neuroinformatics to our understanding of the brain and how it changes over a lifetime and in the course of evolution.
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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.