ArticleTranslational psychiatry2017
Quantifying person-level brain network functioning to facilitate clinical translation.
Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers.Translational psychiatry · 2018Trial
- Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology.Communications biology · 2024Article
- Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study.bioRxiv : the preprint server for biology · 2024Article
- Closing the loop in psychiatric deep brain stimulation: physiology, psychometrics, and plasticity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- The neural connectome of suicidality in adults with mood and anxiety disorders.Nature. Mental health · 2024Article
- Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety.Biological psychiatry · 2022Article
- Reproducibility of graph measures derived from resting-state MEG functional connectivity metrics in sensor and source spaces.Human brain mapping · 2022Article
- Autonomic changes in Huntington's disease correlate with altered central autonomic network connectivity.Brain communications · 2022Article
- The functional connectome in posttraumatic stress disorder.Neurobiology of stress · 2021Article
- Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices.Network neuroscience (Cambridge, Mass.) · 2020Article
- Integrating sleep, neuroimaging, and computational approaches for precision psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Review
- Interpreting and Utilising Intersubject Variability in Brain Function.Trends in cognitive sciences · 2018Review
- Pathways to Neuroprediction: Opportunities and challenges to prediction of treatment response in depression.Current behavioral neuroscience reports · 2018Article
- Roadmap for optimizing the clinical utility of emotional stress paradigms in human neuroimaging research.Neurobiology of stress · 2018Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Although advances in neuroimaging have yielded insights into the intrinsic organization of human brain networks and their relevance to psychiatric and neurological disorders, there has been no translation of these insights into clinical practice. One necessary step toward clinical translation is identifying a summary metric of network function that is reproducible, reliable, and has known normative data, analogous to normed neuropsychological tests. Our aim was therefore to establish the proof of principle for such a metric, focusing on the default mode network (DMN). We compared three candidate summary metrics: global clustering coefficient, characteristic path length, and average connectivity. Across three samples totaling 322 healthy, mostly Caucasian adults, average connectivity performed best, with good internal consistency (Cronbach's α=0.69-0.70) and adequate eight-week test-retest reliability (intra-class coefficient=0.62 in a subsample N=65). We therefore present normative data for average connectivity of the DMN and its sub-networks. These proof of principle results are an important first step for the translation of neuroimaging to clinical practice. Ultimately, a normed summary metric will allow a single patient's DMN function to be quantified and interpreted relative to normative peers.
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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.