ArticleBrain structure & function2021
Navigating the link between processing speed and network communication in the human brain.
Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
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Who cites it
19 citing papers in PubMed.
- Neurocognitive function as outcome and predictor for prefrontal transcranial direct current stimulation in major depressive disorder: an analysis from the DepressionDC trial.European archives of psychiatry and clinical neuroscience · 2025Trial
- NeuroMArVL: An interactive and collaborative web-based tool for visualizing brain networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Navigating a Misty Road: Novel Ways to Study the Impact of Cognition on Driving Performance in Multiple Sclerosis.Brain sciences · 2025Review
- Non-decision time: The Higgs Boson of decision.Psychological review · 2025Article
- Presurgical structural connectivity predicts postsurgical cognitive impairment in glioma patients.Brain communications · 2025Article
- Mapping the structure-function relationship along macroscale gradients in the human brain.Nature communications · 2024Article
- Age-related differences in network controllability are mitigated by redundancy in large-scale brain networks.Communications biology · 2024Article
- Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Neurophysiological markers in community-dwelling older adults with mild cognitive impairment: an EEG study.Alzheimer's research & therapy · 2023Article
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Abnormal Structural Network Communication Reflects Cognitive Deficits in Schizophrenia.Brain topography · 2023Article
- Exploring personalized structural connectomics for moderate to severe traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis.NeuroImage. Clinical · 2023Article
- Resolving inter-regional communication capacity in the human connectome.Network neuroscience (Cambridge, Mass.) · 2023Article
- Multidisciplinary Intersections on Artificial-Human Vividness: Phenomenology, Representation, and the Brain.Brain sciences · 2022Review
- Machine Learning for Prediction of Cognitive Health in Adults Using Sociodemographic, Neighbourhood Environmental, and Lifestyle Factors.International journal of environmental research and public health · 2022Article
- Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.NeuroImage · 2022Review
- A Transcriptome Community-and-Module Approach of the Human Mesoconnectome.Entropy (Basel, Switzerland) · 2021Article
- Composite reaction time and variability correlate with whole-brain white-matter characteristics.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Processing speed on cognitive tasks relies upon efficient communication between widespread regions of the brain. Recently, novel methods of quantifying network communication like 'navigation efficiency' have emerged, which aim to be more biologically plausible compared to traditional shortest path length-based measures. However, it is still unclear whether there is a direct link between these communication measures and processing speed. We tested this relationship in forty-five healthy adults (27 females), where processing speed was defined as decision-making time and measured using drift rate from the hierarchical drift diffusion model. Communication measures were calculated from a graph theoretical analysis of the whole-brain structural connectome and of a task-relevant fronto-parietal structural subnetwork, using the large-scale Desikan-Killiany atlas. We found that faster processing speed on trials that require greater cognitive control are correlated with higher navigation efficiency (of both the whole-brain and the task-relevant subnetwork). In contrast, faster processing speed on trials that require more automatic processing are correlated with shorter path length within the task-relevant subnetwork. Our findings reveal that differences in the way communication is modelled between shortest path length and navigation may be sensitive to processing of automatic and controlled responses, respectively. Further, our findings suggest that there is a relationship between the speed of cognitive processing and the structural constraints of the human brain network.
Indexed as
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33704578What 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.