Koryna Lewandowska
Overview
Explore the profile of Koryna Lewandowska including associated specialties, affiliations and a list of published articles.
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14
Citations
60
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Recent Articles
1.
Fafrowicz M, Tutajewski M, Sieradzki I, Ochab J, Ceglarek-Sroka A, Lewandowska K, et al.
Front Neuroinform
. 2025 Jan;
18:1480366.
PMID: 39759761
Understanding brain function relies on identifying spatiotemporal patterns in brain activity. In recent years, machine learning methods have been widely used to detect connections between regions of interest (ROIs) involved...
2.
Fafrowicz M, Ceglarek A, Olszewska J, Sobczak A, Bohaterewicz B, Ostrogorska M, et al.
Sci Rep
. 2023 Feb;
13(1):2900.
PMID: 36808174
Human memory is prone to errors in many everyday activities but also when cultivating hobbies such as traveling and/or learning a new language. For instance, while visiting foreign countries, people...
3.
Ochab J, Watorek M, Ceglarek A, Fafrowicz M, Lewandowska K, Marek T, et al.
Sci Rep
. 2022 Oct;
12(1):17866.
PMID: 36284105
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...
4.
Janik R, Podolak I, Struski L, Ceglarek A, Lewandowska K, Sikora-Wachowicz B, et al.
Sci Rep
. 2022 Mar;
12(1):5271.
PMID: 35347195
Using a visual short-term memory task and employing a new methodological approach, we analyzed neural responses from the perspective of the conflict level and correctness/erroneous over a longer time window....
5.
Zareba M, Fafrowicz M, Marek T, Beldzik E, Oginska H, Beres A, et al.
Data Brief
. 2022 Mar;
41:107956.
PMID: 35242936
The dataset contains structural T1-weighted magnetic resonance brain imaging data from 136 young individuals (87 females; age range from 18 to 35 years old) along with questionnaire-assessed measurements of trait-like...
6.
Singh P, Wa Torek M, Ceglarek A, Fafrowicz M, Lewandowska K, Marek T, et al.
Int J Neural Syst
. 2022 Feb;
32(4):2250012.
PMID: 35179104
This study applies a neutrosophic-entropy-based clustering algorithm (NEBCA) to analyze the fMRI signals. We consider the data obtained from four different working memory tasks and the brain's resting state for...
7.
Ceglarek A, Ochab J, Cifre I, Fafrowicz M, Sikora-Wachowicz B, Lewandowska K, et al.
Front Neurosci
. 2021 Dec;
15:778242.
PMID: 34924944
Recent works shed light on the neural correlates of true and false recognition and the influence of time of day on cognitive performance. The current study aimed to investigate the...
8.
Ceglarek A, Hubalewska-Mazgaj M, Lewandowska K, Sikora-Wachowicz B, Marek T, Fafrowicz M
Chronobiol Int
. 2021 Jun;
38(9):1330-1343.
PMID: 34121547
The time-of-day along with the synchrony effect (better performance at optimal times of the day according to the chronotype) on the cognitive performance has been well established in previous research....
9.
Farahani F, Fafrowicz M, Karwowski W, Bohaterewicz B, Sobczak A, Ceglarek A, et al.
Brain Sci
. 2021 Jan;
11(1).
PMID: 33467070
Significant differences exist in human brain functions affected by time of day and by people's diurnal preferences (chronotypes) that are rarely considered in brain studies. In the current study, using...
10.
Sikora-Wachowicz B, Lewandowska K, Keresztes A, Werkle-Bergner M, Marek T, Fafrowicz M
Front Psychol
. 2020 Jan;
10:2785.
PMID: 31920832
Compared to young adults, older adults are more susceptible to endorse false memories as genuine and exhibit higher confidence in their decisions to do so. While most studies to date...