Evidence map›Paper›PMID 27871922›Full record

ArticleNeuroImage2017

Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings.

D A Pinotsis, J P Geerts, L Pinto, T H B FitzGerald, V Litvak, R Auksztulewicz, K J Friston

Abstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. [A study on the effects of learning on the properties of rats hippocampal-prefrontal connections in a memory task].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  7. The Many Roles of Precision in Action.Entropy (Basel, Switzerland) · 2024
    Review
  8. Review
  9. Neuronal Modeling of Cross-Sensory Visual Evoked Magnetoencephalography Responses in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Cortical origin of theta error signals.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  14. Electrophysiology of Laminar Cortical Activity in the Common Marmoset.Journal of visualized experiments : JoVE · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

D A PinotsisThe Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK. Electronic address: pinotsis@mit.edu.
J P GeertsThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.
L PintoHelen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, United States.
T H B FitzGeraldThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK; MPS - UCL Centre for Computational Psychiatry and Ageing Research, Russell Square House, London, WC1B 5EH, UK.
V LitvakThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.
R AuksztulewiczThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK; Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
K J FristonThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.

Funding

Role of the prefrontal cortex in behavioral modulation of basal forebrain activitF31NS084696 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI PINTO, LUCAS · 2013 to 2014
$45k
NINDS NIH HHS F31 NS084696Wellcome TrustWellcome Trust 088130/Z/09/Z
6 · The paper itself

Abstract

Neural models describe brain activity at different scales, ranging from single cells to whole brain networks. Here, we attempt to reconcile models operating at the microscopic (compartmental) and mesoscopic (neural mass) scales to analyse data from microelectrode recordings of intralaminar neural activity. Although these two classes of models operate at different scales, it is relatively straightforward to create neural mass models of ensemble activity that are equipped with priors obtained after fitting data generated by detailed microscopic models. This provides generative (forward) models of measured neuronal responses that retain construct validity in relation to compartmental models. We illustrate our approach using cross spectral responses obtained from V1 during a visual perception paradigm that involved optogenetic manipulation of the basal forebrain. We find that the resulting neural mass model can distinguish between activity in distinct cortical layers - both with and without optogenetic activation - and that cholinergic input appears to enhance (disinhibit) superficial layer activity relative to deep layers. This is particularly interesting from the perspective of predictive coding, where neuromodulators are thought to boost prediction errors that ascend the cortical hierarchy.

Indexed as

Models, NeurologicalAcetylcholineAnimalsBasal ForebrainBayes TheoremHumansMiceNeural Networks, ComputerNeuronsVisual CortexAcetylcholine

Identifiers

PMID27871922
PMCPMC5312791

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.