ArticleNeuroImage2017
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Transcranial magnetic stimulation treatment in Alzheimer's disease: a meta-analysis of its efficacy as a function of protocol characteristics and degree of personalization.Journal of neurology · 2022Pooled it
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- neuromaps: structural and functional interpretation of brain maps.Nature methods · 2022Article
- Modelling subject variability in the spatial and temporal characteristics of functional modes.NeuroImage · 2020Article
- Cortical surface registration using unsupervised learning.NeuroImage · 2020Article
- Personalizing neuromodulation.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2020Review
- Functional Parcellation of Individual Cerebral Cortex Based on Functional MRI.Neuroinformatics · 2020Article
- Article
- Metabolic Brain Network Analysis of FDG-PET in Alzheimer's Disease Using Kernel-Based Persistent Features.Molecules (Basel, Switzerland) · 2019Article
- A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative.Human brain mapping · 2019Article
- Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems.Human brain mapping · 2018Article
- The impact of traditional neuroimaging methods on the spatial localization of cortical areas.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Dynamic patterns of cortical expansion during folding of the preterm human brain.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- The relationship between spatial configuration and functional connectivity of brain regions.eLife · 2018Article
- Article
- Generation of Individual Whole-Brain Atlases With Resting-State fMRI Data Using Simultaneous Graph Computation and Parcellation.Frontiers in human neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Population-level inferences and individual-level analyses are two important aspects in functional magnetic resonance imaging (fMRI) studies. Extracting reliable and informative features from fMRI data that capture biologically meaningful inter-subject variation is critical for aligning and comparing functional networks across subjects, and connecting the properties of functional brain organization with variations in behavior, cognition and genetics. In this study, we derive two new measures, which we term functional density map and edge map, and demonstrate their usefulness in characterizing the function of individual brains. Specifically, using data from the Human Connectome Project (HCP), we show that (1) both functional maps capture intrinsic properties of the functional connectivity pattern in individuals while exhibiting large variation across subjects; (2) functional maps derived from either resting-state or task-evoked fMRI can be used to accurately identify subjects from a population; and (3) cross-subject alignment using these functional maps considerably reduces functional variation and improves functional correspondence across subjects over state-of-the-art multimodal registration algorithms. Our results suggest that the proposed functional density and edge maps are promising features in characterizing the functional architecture in individuals and provide an alternative way to explore the functional variation across subjects.
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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.