ArticlePloS one2014
Independent components of neural activity carry information on individual populations.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 46 citations in OpenAlex.
- Miniature endoscope for high resolution electrophysiological recordings from the colon of live mice.Nature communications · 2026Article
- Intracranial Voltage Profiles from Untangled Human Deep Sources Reveal Multisource Composition and Source Allocation Bias.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.PLoS computational biology · 2024Article
- Low frequency independent components: Internal neuromarkers linking cortical LFPs to behavior.iScience · 2024Article
- Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.bioRxiv : the preprint server for biology · 2024Article
- Article
- Discovering optimal features for neuron-type identification from extracellular recordings.Frontiers in neuroinformatics · 2024Article
- A dietary polyphenol metabolite alters CA1 excitability ex vivo and mildly affects cortico-hippocampal field potential generators in anesthetized animals.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Site-dependent shaping of field potential waveforms.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Uncorrelated bilateral cortical input becomes timed across hippocampal subfields for long waves whereas gamma waves are largely ipsilateral.Frontiers in cellular neuroscience · 2023Article
- Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates.NeuroImage · 2022Article
- What we can and what we cannot see with extracellular multielectrodes.PLoS computational biology · 2021Article
- Estimation of neural network model parameters from local field potentials (LFPs).PLoS computational biology · 2020Article
- Theta Oscillations Alternate With High Amplitude Neocortical Population Within Synchronized States.Frontiers in neuroscience · 2019Article
- Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation.Nature neuroscience · 2018Review
- Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.Frontiers in neuroinformatics · 2018Article
- Article
- Collection of Simulated Data from a Thalamocortical Network Model.Neuroinformatics · 2017Article
- Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
- NSDF: Neuroscience Simulation Data Format.Neuroinformatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Local field potential (LFP), the low-frequency part of the potential recorded extracellularly in the brain, reflects neural activity at the population level. The interpretation of LFP is complicated because it can mix activity from remote cells, on the order of millimeters from the electrode. To understand better the relation between the recordings and the local activity of cells we used a large-scale network thalamocortical model to compute simultaneous LFP, transmembrane currents, and spiking activity. We used this model to study the information contained in independent components obtained from the reconstructed Current Source Density (CSD), which smooths transmembrane currents, decomposed further with Independent Component Analysis (ICA). We found that the three most robust components matched well the activity of two dominating cell populations: superior pyramidal cells in layer 2/3 (rhythmic spiking) and tufted pyramids from layer 5 (intrinsically bursting). The pyramidal population from layer 2/3 could not be well described as a product of spatial profile and temporal activation, but by a sum of two such products which we recovered in two of the ICA components in our analysis, which correspond to the two first principal components of PCA decomposition of layer 2/3 population activity. At low noise one more cell population could be discerned but it is unlikely that it could be recovered in experiment given typical noise ranges.
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.