Trial reportScientific reports2019
Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
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
14 citing papers in PubMed.
- From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?Brain sciences · 2023Review
- Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning.Brain informatics · 2023Article
- ReplaceNet: real-time replacement of a biological neural circuit with a hardware-assisted spiking neural network.Frontiers in neuroscience · 2023Article
- Underlying mechanisms of mindfulness meditation: Genomics, circuits, and networks.World journal of psychiatry · 2022Review
- Memory-inspired spiking hyperdimensional network for robust online learning.Scientific reports · 2022Article
- Spike-Representation of EEG Signals for Performance Enhancement of Brain-Computer Interfaces.Frontiers in neuroscience · 2022Article
- Mining the Mind: Linear Discriminant Analysis of MEG Source Reconstruction Time Series Supports Dynamic Changes in Deep Brain Regions During Meditation Sessions.Brain topography · 2021Article
- Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.Sensors (Basel, Switzerland) · 2021Article
- Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.Scientific reports · 2021Article
- Behavioral Outcomes and Neural Network Modeling of a Novel, Putative, Recategorization Sound Therapy.Brain sciences · 2021Article
- Cognitive Effect Following a Blended (Face to Face and Videoconference-Delivered) Format Mindfulness Training.Frontiers in psychology · 2021Article
- Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.Sensors (Basel, Switzerland) · 2020Article
- Lightweight Building of an Electroencephalogram-Based Emotion Detection System.Brain sciences · 2020Article
- Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers.Croatian medical journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit healthy individuals as well as people with a broad range of health conditions. Research has begun to delineate associated changes in brain function. However, whether measures of brain function can be used to identify individuals who are more likely to respond to MT remains unclear. The present study applies a recently developed brain-inspired Spiking Neural Network (SNN) model to electroencephalography (EEG) data to provide novel insight into: i) brain function in depression; ii) the effect of MT on depressed and non-depressed individuals; and iii) neurobiological characteristics of depressed individuals who respond to mindfulness. Resting state EEG was recorded from before and after a 6 week MT programme in 18 participants. Based on self-report, 3 groups were formed: non-depressed (ND), depressed before but not after MT (responsive, D
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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.