ArticleComputational intelligence and neuroscience2011
MEG/EEG source reconstruction, statistical evaluation, and visualization with NUTMEG.
Article in Computational intelligence and neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed, 125 citations in OpenAlex.
- Towards Network-Based Neurofeedback of Visual Areas to Enhance Visual Perception.Brain topography · 2026Trial
- The Visual Word Form Area compensates for auditory working memory dysfunction in schizophrenia.Scientific reports · 2020Trial
- Intervention-specific patterns of cortical function plasticity during auditory encoding in people with schizophrenia.Schizophrenia research · 2020Trial
- Auditory Cortical Plasticity Drives Training-Induced Cognitive Changes in Schizophrenia.Schizophrenia bulletin · 2016Trial
- MEG resting state alpha and beta band functional connectivity in male children with autism and sensory processing dysfunction.Journal of neural engineering · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.Military Medical Research · 2025Review
- Neural correlates of fatigue after traumatic brain injury.Brain communications · 2025Article
- Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease.Alzheimer's research & therapy · 2024Article
- Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.IEEE transactions on medical imaging · 2024Article
- Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data.Frontiers in neuroinformatics · 2024Article
- Abnormal gamma phase-amplitude coupling in the parahippocampal cortex is associated with network hyperexcitability in Alzheimer's disease.Brain communications · 2024Article
- Accelerated algorithms for source orientation detection and spatiotemporal LCMV beamforming in EEG source localization.Frontiers in neuroscience · 2024Article
- Neural correlates of motor learning: Network communication versus local oscillations.Network neuroscience (Cambridge, Mass.) · 2024Article
- Dynamic functional connectivity MEG features of Alzheimer's disease.NeuroImage · 2023Article
- Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer's disease.Research square · 2023Article
- Measurement of Frontal Midline Theta Oscillations using OPM-MEG.NeuroImage · 2023Article
- Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity.NeuroImage · 2023Article
- EEG Beta functional connectivity decrease in the left amygdala correlates with the affective pain in fibromyalgia: A pilot study.PloS one · 2023Article
- Flexible adjustment of anticipations in human outcome processing.Scientific reports · 2022Article
3 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
7 authors at 6 institutions in 8 countries.
Funding
Abstract
NUTMEG is a source analysis toolbox geared towards cognitive neuroscience researchers using MEG and EEG, including intracranial recordings. Evoked and unaveraged data can be imported to the toolbox for source analysis in either the time or time-frequency domains. NUTMEG offers several variants of adaptive beamformers, probabilistic reconstruction algorithms, as well as minimum-norm techniques to generate functional maps of spatiotemporal neural source activity. Lead fields can be calculated from single and overlapping sphere head models or imported from other software. Group averages and statistics can be calculated as well. In addition to data analysis tools, NUTMEG provides a unique and intuitive graphical interface for visualization of results. Source analyses can be superimposed onto a structural MRI or headshape to provide a convenient visual correspondence to anatomy. These results can also be navigated interactively, with the spatial maps and source time series or spectrogram linked accordingly. Animations can be generated to view the evolution of neural activity over time. NUTMEG can also display brain renderings and perform spatial normalization of functional maps using SPM's engine. As a MATLAB package, the end user may easily link with other toolboxes or add customized functions.
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.