Evidence map›Paper›PMID 38486968›Full record

ArticleFrontiers in neuroscience2024

Sensorimotor content of multi-unit activity recorded in the paramedian lobule of the cerebellum using carbon fiber microelectrode arrays.

Esma Cetinkaya, Eric J Lang, Mesut Sahin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Esma CetinkayaBiomedical Engineering Department, New Jersey Institute of Technology, Newark, NJ, United States.
Eric J LangDepartment of Neuroscience and Physiology, NYU Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States.
Mesut SahinBiomedical Engineering Department, New Jersey Institute of Technology, Newark, NJ, United States.
New Jersey Institute of Technology · USNew York University · US

Funding

Modulation of Cerebellar Activity by Electrical and Focused Ultrasound StimulationRF1NS122741 · NINDS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI LANG, ERIC J, ORALKAN, OMER · 2022 to 2022
$2.9M
Modulation of Cerebellar Activity by Electrical and Focused Ultrasound StimulationR01NS122741 · NINDS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ERIC J LANG, Omer Oralkan · 2025 to 2026
$1.6M
NINDS NIH HHS R01 NS122741NINDS NIH HHS RF1 NS122741
6 · The paper itself

Abstract

The cerebellum takes in a great deal of sensory information from the periphery and descending signals from the cerebral cortices. It has been debated whether the paramedian lobule (PML) in the rat and its paravermal regions that project to the interpositus nucleus (IPN) are primarily involved in motor execution or motor planning. Studies that have relied on single spike recordings in behaving animals have led to conflicting conclusions regarding this issue. In this study, we tried a different approach and investigated the correlation of field potentials and multi-unit signals recorded with multi-electrode arrays from the PML cortex along with the forelimb electromyography (EMG) signals in rats during behavior. Linear regression was performed to predict the EMG signal envelopes using the PML activity for various time shifts (±25, ±50, ±100, and ± 400 ms) between the two signals to determine a causal relation. The highest correlations (~0.5 on average) between the neural and EMG envelopes were observed for zero and small (±25 ms) time shifts and decreased with larger time shifts in both directions, suggesting that paravermal PML is involved both in processing of sensory signals and motor execution in the context of forelimb reaching behavior. EMG envelopes were predicted with higher success rates when neural signals from multiple phases of the behavior were utilized for regression. The forelimb extension phase was the most difficult to predict while the releasing of the bar phase prediction was the most successful. The high frequency (>300 Hz) components of the neural signal, reflecting multi-unit activity, had a higher contribution to the EMG prediction than did the lower frequency components, corresponding to local field potentials. The results of this study suggest that the paravermal PML in the rat cerebellum is primarily involved in the execution of forelimb movements rather than the planning aspect and that the PML is more active at the initiation and termination of the behavior, rather than the progression.

Indexed as

carbon fiber electrodescerebellar electrophysiologychronic neural recordinglocal field potentialsreaching behavior

Identifiers

PMID38486968
PMCPMC10937354
OpenAlexW4392291692

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.