Evidence map›Paper›PMID 38161585›Full record

ArticleFrontiers in aging neuroscience2023

Neurophysiological hallmarks of Huntington's disease progression: an EEG and fMRI connectivity study.

Natalya V Ponomareva, Sergey A Klyushnikov, Natalia Abramycheva, Rodion N Konovalov, Marina Krotenkova, Ekaterina Kolesnikova, Daria Malina, Gusel Urazgildeeva, Elena Kanavets, Andrey Mitrofanov and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Natalya V PonomarevaResearch Center of Neurology, Moscow, Russia.
Sergey A KlyushnikovResearch Center of Neurology, Moscow, Russia.
Natalia AbramychevaResearch Center of Neurology, Moscow, Russia.
Rodion N KonovalovResearch Center of Neurology, Moscow, Russia.
Marina KrotenkovaResearch Center of Neurology, Moscow, Russia.
Ekaterina KolesnikovaResearch Center of Neurology, Moscow, Russia.
Daria MalinaResearch Center of Neurology, Moscow, Russia.
Gusel UrazgildeevaResearch Center of Neurology, Moscow, Russia.
Elena KanavetsResearch Center of Neurology, Moscow, Russia.
Andrey MitrofanovResearch Center of Mental Health, Moscow, Russia.
Vitaly FokinResearch Center of Neurology, Moscow, Russia.
Evgeny RogaevCenter for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia.
Sergey N IllarioshkinResearch Center of Neurology, Moscow, Russia.
Research Center of Neurology · RUSirius University of Science and Technology · RUMental Health Research Center of Russian Academy of Medical Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can provide corroborative data on neurophysiological alterations in Huntington's disease (HD). However, the alterations in EEG and fMRI resting-state functional connectivity (rsFC), as well as their interrelations, at different stages of HD remain insufficiently investigated. This study aimed to identify neurophysiological alterations in individuals with preclinical HD (preHD) and early manifest HD (EMHD) by analyzing EEG and fMRI rsFC and examining their interrelationships. We found significant differences in EEG power between preHD individuals and healthy controls (HC), with a decrease in power in a specific frequency range at the theta-alpha border and slow alpha activity. In EMHD patients, in addition to the decrease in power in the 7-9 Hz range, a reduction in power within the classic alpha band compared to HC was observed. The fMRI analysis revealed disrupted functional connectivity in various brain networks, particularly within frontal lobe, putamen-cortical, and cortico-cerebellar networks, in individuals with the HD mutation compared to HC. The analysis of the relationship between EEG and fMRI rsFC revealed an association between decreased alpha power, observed in individuals with EMHD, and increased connectivity in large-scale brain networks. These networks include putamen-cortical, DMN-related and cortico-hippocampal circuits. Overall, the findings suggest that EEG and fMRI provide valuable information for monitoring pathological processes during the development of HD. A decrease in inhibitory control within the putamen-cortical, DMN-related and cortico-hippocampal circuits, accompanied by a reduction in alpha and theta-alpha border oscillatory activity, could potentially contribute to cognitive decline in HD.

Indexed as

CAG repeatscognitive functionsEEGfunctional MRIHTT geneHuntington’s diseasepreclinical stage

Identifiers

PMID38161585
PMCPMC10755012
OpenAlexW4389793131

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.