Evidence map›Paper›PMID 36241667›Full record

ArticleNPJ Parkinson's disease2022

Amplitude and frequency modulation of subthalamic beta oscillations jointly encode the dopaminergic state in Parkinson's disease.

Alberto Averna, Sara Marceglia, Alberto Priori, Guglielmo Foffani

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Spectral Topography of the Subthalamic Nucleus to Inform Next-Generation Deep Brain Stimulation.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  3. Noninvasive modulation of human corticostriatal activity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

4 authors.

Alberto AvernaReseach Center Aldo Ravelli for Neurotechnology and Experimental Brain Therapeutics, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano, Italy.ORCID http://orcid.org/0000-0001-9738-1281
Sara MarcegliaDipartimento di Ingegneria e Architettura, Università degli Studi di Trieste, Trieste, Italy.
Alberto PrioriReseach Center Aldo Ravelli for Neurotechnology and Experimental Brain Therapeutics, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano, Italy. alberto.priori@unimi.it.ORCID http://orcid.org/0000-0002-1549-3851
Guglielmo FoffaniHM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain. gfoffani.hmcinac@hmhospitales.com.ORCID http://orcid.org/0000-0001-7289-6668

Funding

Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness) SAF2017-86246-R
6 · The paper itself

Abstract

Brain states in health and disease are classically defined by the power or the spontaneous amplitude modulation (AM) of neuronal oscillations in specific frequency bands. Conversely, the possible role of the spontaneous frequency modulation (FM) in defining pathophysiological brain states remains unclear. As a paradigmatic example of pathophysiological resting states, here we assessed the spontaneous AM and FM dynamics of subthalamic beta oscillations recorded in patients with Parkinson's disease before and after levodopa administration. Even though AM and FM are mathematically independent, they displayed negatively correlated dynamics. First, AM decreased while FM increased with levodopa. Second, instantaneous amplitude and instantaneous frequency were negatively cross-correlated within dopaminergic states, with FM following AM by approximately one beta cycle. Third, AM and FM changes were also negatively correlated between dopaminergic states. Both the slow component of the FM and the fast component (i.e. the phase slips) increased after levodopa, but they differently contributed to the AM-FM correlations within and between states. Finally, AM and FM provided information about whether the patients were OFF vs. ON levodopa, with partial redundancy and with FM being more informative than AM. AM and FM of spontaneous beta oscillations can thus both separately and jointly encode the dopaminergic state in patients with Parkinson's disease. These results suggest that resting brain states are defined not only by AM dynamics but also, and possibly more prominently, by FM dynamics of neuronal oscillations.

Identifiers

PMID36241667
PMCPMC9568523

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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.