ReviewTrends in cognitive sciences2017
Characterizing Attention with Predictive Network Models.
Review in Trends in cognitive sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 162 citations in OpenAlex.
- Oxytocin Reduces Subjective Fear in Naturalistic Social Contexts via Enhancing Top-Down Middle Cingulate Amygdala Regulation and Brain-Wide Fear Representations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Trial
- Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.Nature communications · 2026Article
- Tinnitus perception is linked to arousal dysfunction.iScience · 2026Article
- A connectome-based neural correlate of pediatric ADHD hyperactivity-impulsivity symptoms.Frontiers in psychiatry · 2026Article
- Genetic foundations of interindividual neurophysiological variability.Science advances · 2025Article
- A Transdiagnostic fMRI Dataset With 300+ Deeply Phenotyped Subjects Across Resting and Task States.medRxiv : the preprint server for health sciences · 2025Article
- It's all connected! Multivariate pattern analysis of inter-network connectivity distinguishes between reappraisal and passive viewing of emotional scenes.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025Article
- Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Brain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youths.Psychological medicine · 2025Article
- A whole-brain functional connectivity model of Alzheimer's disease pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Integrating brain function and structure in the study of the human attentional networks: a functionnectome study.Brain structure & function · 2024Article
- Utilizing connectome fingerprinting functional MRI models for motor activity prediction in presurgical planning: A feasibility study.Human brain mapping · 2024Article
- The neurophysiological brain-fingerprint of Parkinson's disease.EBioMedicine · 2024Article
- Attention-deficit Hyperactivity Disorder and Autism Spectrum Disorder: Towards Better Diagnosis and Management.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2024Review
- Beyond detection rate: understanding the vigilance decrement using signal detection theory.Frontiers in cognition · 2024Article
- The neurophysiological brain-fingerprint of Parkinson's disease.medRxiv : the preprint server for health sciences · 2023Article
- Differences in the functional brain architecture of sustained attention and working memory in youth and adults.PLoS biology · 2022Article
- TRACking health behaviors in people with Multiple Sclerosis (TRAC-MS): Study protocol and description of the study sample.Contemporary clinical trials communications · 2022Article
- Attention: a descriptive taxonomy.History and philosophy of the life sciences · 2022Article
8 more citing papers are in PubMed but not listed here.
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 1 institution in 1 country.
Funding
Abstract
Recent work shows that models based on functional connectivity in large-scale brain networks can predict individuals' attentional abilities. While being some of the first generalizable neuromarkers of cognitive function, these models also inform our basic understanding of attention, providing empirical evidence that: (i) attention is a network property of brain computation; (ii) the functional architecture that underlies attention can be measured while people are not engaged in any explicit task; and (iii) this architecture supports a general attentional ability that is common to several laboratory-based tasks and is impaired in attention deficit hyperactivity disorder (ADHD). Looking ahead, connectivity-based predictive models of attention and other cognitive abilities and behaviors may potentially improve the assessment, diagnosis, and treatment of clinical dysfunction.
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What OpenQuestion holds
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.