ArticleCerebral cortex (New York, N.Y. : 1991)2013
DICCCOL: dense individualized and common connectivity-based cortical landmarks.
Article in Cerebral cortex (New York, N.Y. : 1991), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 2 of them syntheses 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.
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Who cites it
76 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Discovering hierarchical common brain networks via multimodal deep belief network.Medical image analysis · 2019Pooled it
- Meta-analysis of functional roles of DICCCOLs.Neuroinformatics · 2013Pooled it
- Structuro-Functional Differentiation and Coupling of Gyri and Sulci in the Neonatal Cortex.Human brain mapping · 2026Article
- A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- Long-term effects of preterm birth on cortical folding trajectories in early childhood.Brain communications · 2026Article
- Diagnostic classification of children and adolescents with high-functioning autism spectrum disorder based on brain functional network characteristics of the dense individualized and common connectivity-based cortical landmark model.Frontiers in psychiatry · 2026Article
- ENHANCING GROUP-WISE CONSISTENCY IN 3-HINGE GYRUS MATCHING VIA ANATOMICAL EMBEDDING AND STRUCTURAL CONNECTIVITY OPTIMIZATION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- Building a tissue-unbiased brain template of fiber orientation distribution and tractography with multimodal registration.Magnetic resonance in medicine · 2023Article
- Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach.European journal of nuclear medicine and molecular imaging · 2022Article
- Predicting brain structural network using functional connectivity.Medical image analysis · 2022Article
- Differentiate preterm and term infant brains and characterize the corresponding biomarkersFrontiers in neuroscience · 2022Article
- Are Sex Differences in Human Brain Structure Associated With Sex Differences in Behavior?Psychological science · 2021Article
- Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior.Psychoradiology · 2021Review
- Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease.Entropy (Basel, Switzerland) · 2021Article
- Functional Subdivisions of the Cerebellum in Naturalistic Paradigm Functional Magnetic Resonance Imaging.Frontiers in neuroscience · 2021Article
- Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder.Frontiers in human neuroscience · 2020Article
- Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain.Brain imaging and behavior · 2019Article
- Inflammation and decreased functional connectivity in a widely-distributed network in depression: Centralized effects in the ventral medial prefrontal cortex.Brain, behavior, and immunity · 2019Article
- Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge.NeuroImage · 2018Article
- Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.NeuroImage · 2018Review
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
Is there a common structural and functional cortical architecture that can be quantitatively encoded and precisely reproduced across individuals and populations? This question is still largely unanswered due to the vast complexity, variability, and nonlinearity of the cerebral cortex. Here, we hypothesize that the common cortical architecture can be effectively represented by group-wise consistent structural fiber connections and take a novel data-driven approach to explore the cortical architecture. We report a dense and consistent map of 358 cortical landmarks, named Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs). Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. Our results have shown that these 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes, as demonstrated in this work.
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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.