ReviewAnnals of the New York Academy of Sciences2017
A network engineering perspective on probing and perturbing cognition with neurofeedback.
Review in Annals of the New York Academy of Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Music in the loop: a systematic review of current neurofeedback methodologies using music.Frontiers in neuroscience · 2025Pooled it
- Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?Human brain mapping · 2020Pooled it
- Reinforcement of Self-Regulated Brain Activity in Schizophrenia Patients Undergoing Rehabilitation.BioMed research international · 2021Trial
- Improving Clinical, Cognitive, and Psychosocial Dysfunctions in Patients with Schizophrenia: A Neurofeedback Randomized Control Trial.Neural plasticity · 2021Trial
- Review
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- The Possibility Space Concept in Neuroscience: Possibilities, Constraints, and Explanations.The European journal of neuroscience · 2025Review
- The emergent property of inhibitory control: implications of intermittent network-based fNIRS neurofeedback training.Frontiers in human neuroscience · 2025Article
- Amygdala self-neuromodulation capacity as a window for process-related network recruitment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory.Cognitive, affective & behavioral neuroscience · 2024Article
- Article
- Edge-centric network control on the human brain structural network.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life.Biological psychiatry global open science · 2022Article
- Psychiatric Neural Networks and Precision Therapeutics by Machine Learning.Biomedicines · 2021Review
- Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses.Frontiers in human neuroscience · 2021Article
- On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists.Topics in cognitive science · 2020Article
- Functional disconnection of associative cortical areas predicts performance during BCI training.NeuroImage · 2020Article
- Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants.Scientific reports · 2020Article
- Directly Exploring the Neural Correlates of Feedback-Related Reward Saliency and Valence During Real-Time fMRI-Based Neurofeedback.Frontiers in human neuroscience · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. To blend these disparate strands of research, we build on emerging conceptualizations of how the brain functions (as a complex network) and how we can develop and target interventions or modulations (as a form of network control). We close with an outline of current frontiers that bridge neurofeedback, connectomics, and network control theory to better understand human cognition.
Indexed as
Identifiers
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.