标题
Node centrality measures are a poor substitute for causal inference
作者
关键词
-
出版物
Scientific Reports
Volume 9, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-05-02
DOI
10.1038/s41598-019-43033-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Finding influential nodes for integration in brain networks using optimal percolation theory
- (2018) Gino Del Ferraro et al. Nature Communications
- Structural and effective connectivity in focal epilepsy
- (2018) Christopher S. Parker et al. NeuroImage-Clinical
- An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models
- (2017) M. Marsman et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Dynamic models of large-scale brain activity
- (2017) Michael Breakspear NATURE NEUROSCIENCE
- A network theory of mental disorders
- (2017) Denny Borsboom World Psychiatry
- What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis
- (2016) Eiko I. Fried et al. JOURNAL OF AFFECTIVE DISORDERS
- Linking cognition to brain connectivity
- (2016) Stephen Smith NATURE NEUROSCIENCE
- Major Depression as a Complex Dynamic System
- (2016) Angélique O. J. Cramer et al. PLoS One
- Causal inference and the data-fusion problem
- (2016) Elias Bareinboim et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Network analysis of depression and anxiety symptom relationships in a psychiatric sample
- (2016) C. Beard et al. PSYCHOLOGICAL MEDICINE
- Reconciling abnormalities of brain network structure and function in schizophrenia
- (2015) Alex Fornito et al. CURRENT OPINION IN NEUROBIOLOGY
- Presurgery resting-state local graph-theory measures predict neurocognitive outcomes after brain surgery in temporal lobe epilepsy
- (2015) Gaelle E. Doucet et al. EPILEPSIA
- Brain Networks and Cognitive Architectures
- (2015) Steven E. Petersen et al. NEURON
- Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders
- (2014) Gustavo Deco et al. NEURON
- Quantifying causal influences
- (2013) Dominik Janzing et al. ANNALS OF STATISTICS
- Network Analysis: An Integrative Approach to the Structure of Psychopathology
- (2013) Denny Borsboom et al. Annual Review of Clinical Psychology
- Causal inference with multiple time series: principles and problems
- (2013) M. Eichler PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Network hubs in the human brain
- (2013) Martijn P. van den Heuvel et al. TRENDS IN COGNITIVE SCIENCES
- Analysing connectivity with Granger causality and dynamic causal modelling
- (2012) Karl Friston et al. CURRENT OPINION IN NEUROBIOLOGY
- The future of the human connectome
- (2012) D.C. Van Essen et al. NEUROIMAGE
- Human connectomics
- (2011) Timothy EJ Behrens et al. CURRENT OPINION IN NEUROBIOLOGY
- Comorbid science?
- (2010) David Danks et al. BEHAVIORAL AND BRAIN SCIENCES
- Comorbidity: A network perspective
- (2010) Angélique O. J. Cramer et al. BEHAVIORAL AND BRAIN SCIENCES
- Spatial embedding and the structure of complex networks
- (2010) S. Bullock et al. COMPLEXITY
- Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease
- (2009) R. L. Buckner et al. JOURNAL OF NEUROSCIENCE
- Six problems for causal inference from fMRI
- (2009) J.D. Ramsey et al. NEUROIMAGE
- Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease
- (2008) Y. He et al. JOURNAL OF NEUROSCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started