Evidence map›Paper›PMID 35712529›Full record

ArticleFrontiers in human neuroscience2022

Enhancing Brain Connectivity With Infra-Low Frequency Neurofeedback During Aging: A Pilot Study.

Olga R Dobrushina, Larisa A Dobrynina, Galina A Arina, Elena I Kremneva, Evgenia S Novikova, Mariia V Gubanova, Ekaterina V Pechenkova, Anastasia D Suslina, Vlada V Aristova, Viktoriya V Trubitsyna and 1 more

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Olga R DobrushinaThird Neurological Department, Research Center of Neurology, Moscow, Russia.
Larisa A DobryninaThird Neurological Department, Research Center of Neurology, Moscow, Russia.
Galina A ArinaFaculty of Psychology, M.V. Lomonosov Moscow State University, Moscow, Russia.
Elena I KremnevaDepartment of Radiology, Research Center of Neurology, Moscow, Russia.
Evgenia S NovikovaThird Neurological Department, Research Center of Neurology, Moscow, Russia.
Mariia V GubanovaThird Neurological Department, Research Center of Neurology, Moscow, Russia.
Ekaterina V PechenkovaLaboratory for Cognitive Research, HSE University, Moscow, Russia.
Anastasia D SuslinaDepartment of Radiology, Research Center of Neurology, Moscow, Russia.
Vlada V AristovaThird Neurological Department, Research Center of Neurology, Moscow, Russia.
Viktoriya V TrubitsynaDepartment of Radiology, Research Center of Neurology, Moscow, Russia.
Marina V KrotenkovaDepartment of Radiology, Research Center of Neurology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is associated with decreased functional connectivity in the main brain networks, which can underlie changes in cognitive and emotional processing. Neurofeedback is a promising non-pharmacological approach for the enhancement of brain connectivity. Previously, we showed that a single session of infra-low frequency neurofeedback results in increased connectivity between sensory processing networks in healthy young adults. In the current pilot study, we aimed to evaluate the possibility of enhancing brain connectivity during aging with the use of infra-low frequency neurofeedback. Nine females aged 52 ± 7 years with subclinical signs of emotional dysregulation, including anxiety, mild depression, and somatoform symptoms, underwent 15 sessions of training. A resting-state functional MRI scan was acquired before and after the training. A hypothesis-free intrinsic connectivity analysis showed increased connectivity in regions in the bilateral temporal fusiform cortex, right supplementary motor area, left amygdala, left temporal pole, and cerebellum. Next, a seed-to-voxel analysis for the revealed regions was performed using the post- vs. pre-neurofeedback contrast. Finally, to explore the whole network of neurofeedback-related connectivity changes, the regions revealed by the intrinsic connectivity and seed-to-voxel analyses were entered into a network-based statistical analysis. An extended network was revealed, including the temporal and occipital fusiform cortex, multiple areas from the visual cortex, the right posterior superior temporal sulcus, the amygdala, the temporal poles, the superior parietal lobule, and the supplementary motor cortex. Clinically, decreases in alexithymia, depression, and anxiety levels were observed. Thus, infra-low frequency neurofeedback appears to be a promising method for enhancing brain connectivity during aging, and subsequent sham-controlled studies utilizing larger samples are feasible.

Indexed as

agingendogenous neuromodulationfunctional magnetic resonance imaginginfra-low frequencyintrinsic connectivity networksneurofeedbackresting state fMRI

Identifiers

PMID35712529
PMCPMC9195620

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