Evidence map›Paper›PMID 35281507›Full record

ArticleFrontiers in neuroscience2022

Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration.

Elisa Tatti, Francesca Ferraioli, Alberto Cacciola, Cameron Chan, Angelo Quartarone, Maria Felice Ghilardi

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

6 authors.

Elisa TattiDepartment of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States.
Francesca FerraioliDepartment of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States.
Alberto CacciolaDepartment of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
Cameron ChanDepartment of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States.
Angelo QuartaroneDepartment of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
Maria Felice GhilardiDepartment of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States.

Funding

Electron Microscopy Core CP01NS083514 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI TONONI, GIULIO · 2014 to 2018
$7.7M
NINDS NIH HHS P01 NS083514
6 · The paper itself

Abstract

Modulation of gamma oscillations recorded from the human motor cortex and basal ganglia appears to play a key role in movement execution. However, there are still major questions to be answered about the specific role of cortical gamma activity in both the planning and execution of movement features such as the scaling of peak velocity and movement time. In this study, we characterized movement-related gamma oscillatory dynamics and its relationship with kinematic parameters based on 256-channels EEG recordings in 64 healthy subjects while performing fast and uncorrected reaching movements to targets located at three distances. In keeping with previous studies, we found that movement-related gamma synchronization occurred during movement execution. As a new finding, we showed that gamma synchronization occurred also before movement onset, with planning and execution phases involving different gamma peak frequencies and topographies. Importantly, the amplitude of gamma synchronization in both planning and execution increased with target distance and predicted peak velocity and movement time. Additional analysis of phase coherence revealed a gamma-coordinated long-range network involving occipital, frontal and central regions during movement execution that was positively related to kinematic features. This is the first evidence in humans supporting the notion that gamma synchronization amplitude and phase coherence pattern can reliably predict peak velocity amplitude and movement time. Therefore, these findings suggest that cortical gamma oscillations have a crucial role for the selection, implementation and control of the appropriate kinematic parameters of goal-directed reaching movements.

Indexed as

connectivityEEGevent-related synchronizationgamma oscilationskinematicsmotor controlphase coherencereaching movement

Identifiers

PMID35281507
PMCPMC8908429

What OpenQuestion holds

Textmetadata
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.