Evidence map›Paper›PMID 36284105›Full record

ArticleScientific reports2022

Task-dependent fractal patterns of information processing in working memory.

Jeremi K Ochab, Marcin Wątorek, Anna Ceglarek, Magdalena Fafrowicz, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Paweł Oświęcimka

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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

8 authors.

Jeremi K OchabInstitute of Theoretical Physics, Jagiellonian University, 30-348, Kraków, Poland. jeremi.ochab@uj.edu.pl.
Marcin WątorekInstitute of Theoretical Physics, Jagiellonian University, 30-348, Kraków, Poland.
Anna CeglarekDepartment of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, 30-348, Kraków, Poland.
Magdalena FafrowiczDepartment of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, 30-348, Kraków, Poland.
Koryna LewandowskaDepartment of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, 30-348, Kraków, Poland.
Tadeusz MarekDepartment of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, 30-348, Kraków, Poland.
Barbara Sikora-WachowiczDepartment of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, 30-348, Kraków, Poland.
Paweł OświęcimkaInstitute of Theoretical Physics, Jagiellonian University, 30-348, Kraków, Poland. pawel.oswiecimka@ifj.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended cross-correlations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal. We show that the degree of fractal scaling is regionally dependent on the engagement in cognitive tasks. A particularly apparent difference was found between memorisation in verbal and nonverbal tasks. Furthermore, the detrended cross-correlations between brain areas were predominantly indicative of differences between resting state and other tasks, between memorisation and retrieval, and between verbal and nonverbal tasks. The fractal and spectral analyses presented in our study are consistent with previous research related to visuospatial and verbal information processing, working memory (encoding and retrieval), and executive functions, but they were found to be more sensitive than Pearson correlations and showed the potential to obtain other subtler results. We conclude that regionally dependent cognitive task engagement can be distinguished based on the fractal characteristics of BOLD signals and their detrended cross-correlation structure.

Indexed as

FractalsMemory, Short-TermCognitionExecutive FunctionMagnetic Resonance Imaging

Identifiers

PMID36284105
PMCPMC9596406

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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.