Evidence map›Paper›PMID 31367267›Full record

ArticleInternational IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering2019

A model-based approach for targeted neurophysiology in the behaving non-human primate.

Eric B Knudsen, Zuzanna Z Balewski, Joni D Wallis

Abstract read
In one paragraph

Article in International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Orbitofrontal-Hippocampal State Coding Dynamics during Reversal Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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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

3 authors.

Eric B KnudsenUniversity of California at Berkeley, Berkeley, CA, 94720, USA.
Zuzanna Z BalewskiUniversity of California at Berkeley, Berkeley, CA, 94720, USA.
Joni D WallisUniversity of California at Berkeley, Berkeley, CA, 94720, USA.

Funding

Neuroscience Training Program at UC BerkeleyT32NS095939 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BATEUP, HELEN S. · 2016 to 2025
$6.3M
Frontostriatal Rhythms Underlying Reinforcement Learning.R01MH117763 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI WALLIS, JONI D · 2018 to 2022
$2.3M
The Unlearning of Stimulus-Outcome Associations through Intracortical MicrostimulationR21DA041791 · NIDA · UNIVERSITY OF CALIFORNIA BERKELEY · PI WALLIS, JONI D · 2016 to 2017
$392k
NIDA NIH HHS R21 DA041791NIMH NIH HHS R01 MH117763NINDS NIH HHS T32 NS095939
6 · The paper itself

Abstract

Acute neurophysiology in the behaving primate typically relies on traditional manufacturing approaches for the instrumentation necessary for recording. For example, our previous approach consisted of distributing single microelectrodes in a fixed plane situated over a circular patch of frontal cortex using conventionally-milled recording grids. With the advent of robust, multisite linear probes, and the introduction of commercially-available, high-resolution rapid prototyping systems, we have been able to improve upon traditional approaches. Here, we report our methodology for producing flexible, MR-informed recording platforms that allow us to precisely target brain structures of interest, including those that would be unreachable using previous methods. We have increased our single-session recording yields by an order of magnitude and recorded neural activity from widely-distributed regions using only a single recording chamber. This approach both speeds data collection, reduces the damage done to neural tissue over the course of a single experiment, and reduces the number of surgical procedures experienced by the animal.

Identifiers

PMID31367267
PMCPMC6668614

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Registered trials

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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.