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Papers by Magdalena Fafrowicz

Research paper thumbnail of Cognitive Neuroscience and Psychology—New Quality in Research

Roczniki Psychologiczne, 2009

Research paper thumbnail of Cultural competence and burnout dimensions among Polish nurses working in Great Britain and Ireland

Research paper thumbnail of The subjective amplitude of the diurnal rhythm matters - chronobiological insights for neuroimaging studies

bioRxiv (Cold Spring Harbor Laboratory), May 17, 2023

Multiple aspects of human physiology, including mood and cognition, are subjected to diurnal rhyt... more Multiple aspects of human physiology, including mood and cognition, are subjected to diurnal rhythms. While the previous neuroimaging studies have focused solely on the morningness-eveningness (ME) preference dichotomy, i.e. the circadian phase, the second key dimension of the diurnal rhythms, i.e. the strength of these preferences (amplitude; AM), has been completely overlooked. Uncovering the neural correlates of AM is especially important considering its link with negative emotionality. Structural T1-weighted neuroimaging data from 79 early (EC) and 74 late (LC) chronotypes were analysed to compare grey matter (GM) volume and cortical thickness. The study aimed to elucidate whether the subjective AM and its interaction with ME was a significant predictor of individual brain structure. Both GM volume and cortical thickness of the left primary visual cortex was negatively correlated with AM scores across the entire sample. Furthermore, EC and LC differed in their association between AM scores and the GM volume in the right middle temporal gyrus, with the positive and negative correlations reported respectively in the two groups. The current study underlines the importance of the visual system in circadian rhythmicity and provides possible neural correlates for AM-related differences in negative affect processing. Furthermore, the presence of the opposite correlations between brain anatomy and AM in the two groups suggests that the behavioural and neuronal chronotype differences might become more pronounced in individuals with extreme diurnal differences in mood and cognition, highlighting the necessity to additionally account for AM in neuroimaging studies. Highlights • Structure of primary visual cortex is linked to subjective diurnal rhythms amplitude • Middle temporal gyrus is sensitive to interaction of rhythm phase and distinctness • Distinctness of the diurnal rhythms may modulate results of the neuroimaging studies 2. CC-BY-NC-ND 4.0 International license made available under a (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is The copyright holder for this preprint this version posted May 17, 2023. ;

Research paper thumbnail of Stress

CRC Press eBooks, Mar 15, 2006

Research paper thumbnail of The effects of diurnal variability and modality on false memories formation

Chronobiology International, Mar 13, 2023

Research paper thumbnail of Mechanisms of visual attention and driver error

Research paper thumbnail of Convergence eye movement deficits in bipolar disorder

European Neuropsychopharmacology, 2019

95% confidence interval and their relationship was studied by chi-square test. Results: 303 schiz... more 95% confidence interval and their relationship was studied by chi-square test. Results: 303 schizophrenic patients were included in the analysis population. Median age was 30 years old and 74% were male. The first psychotic manifestations occurred at 22 years old on average. 51% were followed in a community behavioral health organization and 35% were still hospitalized at the inclusion. 91% received a second-generation LAI whereas only 9% received a first-generation LAI. 38% were also treated by an adjunctive BZD, 59% by another psychoactive drug and 57% followed a psychotherapy. 85% of the patients showed symptoms capturing the destabilized state [3]. Only patients with a good treatment compliance (> 80%), an acceptable delay between visits and available assessments for clinical and functional remissions were analyzed, that is 224 patients at 6 months' follow-up and 228 patients at 12 months'. At 6 months' follow-up, 45% of patients were in clinical remission and 37% in functional remission. These proportions reached 55% and 46% respectively at 12 months' follow-up. At 6 months' follow-up, the percentage of functional remission was 60% among patients in clinical remission, whereas it was 18% among patients not in clinical remission. These proportions were respectively 72% and 15% at 12 months' follow-up. The relationship between clinical and functional remissions was strong at both times (p < 0.0001). Conclusion: After 12 months of follow-up, almost half of the patients achieved a functional remission. The relationship between clinical and functional remissions is important, underlining the necessity to reach a clinical remission to achieve a functional remission.

Research paper thumbnail of Brain–Computer Interfaces: Effects on Brain Activation and Behavior

CRC Press eBooks, Oct 29, 2012

Research paper thumbnail of The subjective amplitude of the diurnal rhythm matters – Chronobiological insights for neuroimaging studies

Behavioural Brain Research

Research paper thumbnail of Vergence eye movements impairments in schizophrenia and bipolar disorder

Journal of Psychiatric Research

Research paper thumbnail of Analysis of fMRI Time Series: Neutrosophic-Entropy Based Clustering Algorithm

Journal of Advances in Information Technology

Analysis of Functional Magnetic Resonance imaging (fMRI) time series plays a vital role in identi... more Analysis of Functional Magnetic Resonance imaging (fMRI) time series plays a vital role in identifying the activation behaviour of neurons in the human brain. However, due to the complexity of the fMRI data, its analysis is challenging. Some studies show that the clustering methods can be beneficial in this respect. We apply a Neutrosophic Set-Based Clustering Algorithm (NEBCA) to fMRI time series datasets by this motivation. For the experimental purpose, we consider fMRI time series related to working memory tasks and resting-state. The clusters with different densities for the two analyzed cases are determined and compared. The identified differences indicate brain regions involved with the processing of the short-memory tasks. The corresponding brain areas are denoted according to Automated Anatomical Labeling (AAL) atlas. The statistical reliability of the findings is verified through various statistical tests. The presented results demonstrate the utility of the neutrosophic set based algorithm in brain neural data analysis.

Research paper thumbnail of CHICa scale

Research paper thumbnail of Acting-out and burn-out behaviours of operators monitoring automated systems

Research paper thumbnail of P.3.b.055 Break and recovery points of fusion differentiate schizophrenia from bipolar disorder patients

European Neuropsychopharmacology, 2017

Research paper thumbnail of Speed of processing of pictorial and word stimuli exposed to the left and to the right visual fields

Research paper thumbnail of Proces przenoszenia uwagi wzrokowej jako czynnik ryzyka błędu

Research paper thumbnail of Operation of attention disengagement and its diurnal variability

Research paper thumbnail of Post-lunch dip syndrome - temptation for reassessment

Research paper thumbnail of Saying “yes” when you want to say “no” - pupil dilation reflects evidence accumulation in a visual working memory recognition task

International Journal of Psychophysiology, 2019

A number of studies have shown that the pupil dilates during stimuli recognition and decision-mak... more A number of studies have shown that the pupil dilates during stimuli recognition and decision-making. Yet, little is known about the interaction between recognition memory and decision processes. Here, we investigated the possible link between pupil response and decision-related factors during a visual recognition task. Forty-eight volunteers took part in the study. The experimental task was based on the Deese-Roediger-McDermott paradigm designed to study false recognitions. Participants were shown different sets of two meaningless objects. After seeing each set, they were asked to determine whether the subsequent probe (positive, lure or negative) was already presented. We had found that the pupil dilated more and slower, and the reaction time was extended, when the upcoming choice was against individual response bias. Such a result indicates that recognition and rejection in memory tasks could be seen as two behavioral alternatives supported by evidence accumulation, in line with decision-making models. This interpretation was upheld with the drift-diffusion modelling based on pupil data. A similar pattern was observed for errors-larger pupil sizes before incorrect responses were accompanied by longer reaction times. Furthermore, before correct reactions, especially in participants differentiating more accurately between the old and new stimuli, pupil dilation was increasing faster, indicating swifter evidence accumulation. Taking into account the link between cognitive pupillary reflex and norepinephrine release, we conclude that similarly to decision making, reactions in memory tasks may partly depend on the locus coeruleus activity, which is the principal site for norepinephrine synthesis.

Research paper thumbnail of Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm

International Journal of Neural Systems, 2022

This study applies a neutrosophic-entropy-based clustering algorithm (NEBCA) to analyze the fMRI ... more 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 the experimental purpose. Three non-overlapping clusters of data related to temporal brain activity are determined and statistically analyzed. Moreover, we used the Uniform Manifold Approximation and Projection (UMAP) method to reduce system dimensionality and present the effectiveness of NEBCA. The results show that using NEBCA, we are able to distinguish between different working memory tasks and resting-state and identify subtle differences in the related activity of brain regions. By analyzing the statistical properties of the entropy inside the clusters, the various regions of interest (ROIs), according to Automated Anatomical Labeling (AAL) atlas crucial for clustering procedure, are determined. The inferior occipital gyrus is established as an important brain region in...

Research paper thumbnail of Cognitive Neuroscience and Psychology—New Quality in Research

Roczniki Psychologiczne, 2009

Research paper thumbnail of Cultural competence and burnout dimensions among Polish nurses working in Great Britain and Ireland

Research paper thumbnail of The subjective amplitude of the diurnal rhythm matters - chronobiological insights for neuroimaging studies

bioRxiv (Cold Spring Harbor Laboratory), May 17, 2023

Multiple aspects of human physiology, including mood and cognition, are subjected to diurnal rhyt... more Multiple aspects of human physiology, including mood and cognition, are subjected to diurnal rhythms. While the previous neuroimaging studies have focused solely on the morningness-eveningness (ME) preference dichotomy, i.e. the circadian phase, the second key dimension of the diurnal rhythms, i.e. the strength of these preferences (amplitude; AM), has been completely overlooked. Uncovering the neural correlates of AM is especially important considering its link with negative emotionality. Structural T1-weighted neuroimaging data from 79 early (EC) and 74 late (LC) chronotypes were analysed to compare grey matter (GM) volume and cortical thickness. The study aimed to elucidate whether the subjective AM and its interaction with ME was a significant predictor of individual brain structure. Both GM volume and cortical thickness of the left primary visual cortex was negatively correlated with AM scores across the entire sample. Furthermore, EC and LC differed in their association between AM scores and the GM volume in the right middle temporal gyrus, with the positive and negative correlations reported respectively in the two groups. The current study underlines the importance of the visual system in circadian rhythmicity and provides possible neural correlates for AM-related differences in negative affect processing. Furthermore, the presence of the opposite correlations between brain anatomy and AM in the two groups suggests that the behavioural and neuronal chronotype differences might become more pronounced in individuals with extreme diurnal differences in mood and cognition, highlighting the necessity to additionally account for AM in neuroimaging studies. Highlights • Structure of primary visual cortex is linked to subjective diurnal rhythms amplitude • Middle temporal gyrus is sensitive to interaction of rhythm phase and distinctness • Distinctness of the diurnal rhythms may modulate results of the neuroimaging studies 2. CC-BY-NC-ND 4.0 International license made available under a (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is The copyright holder for this preprint this version posted May 17, 2023. ;

Research paper thumbnail of Stress

CRC Press eBooks, Mar 15, 2006

Research paper thumbnail of The effects of diurnal variability and modality on false memories formation

Chronobiology International, Mar 13, 2023

Research paper thumbnail of Mechanisms of visual attention and driver error

Research paper thumbnail of Convergence eye movement deficits in bipolar disorder

European Neuropsychopharmacology, 2019

95% confidence interval and their relationship was studied by chi-square test. Results: 303 schiz... more 95% confidence interval and their relationship was studied by chi-square test. Results: 303 schizophrenic patients were included in the analysis population. Median age was 30 years old and 74% were male. The first psychotic manifestations occurred at 22 years old on average. 51% were followed in a community behavioral health organization and 35% were still hospitalized at the inclusion. 91% received a second-generation LAI whereas only 9% received a first-generation LAI. 38% were also treated by an adjunctive BZD, 59% by another psychoactive drug and 57% followed a psychotherapy. 85% of the patients showed symptoms capturing the destabilized state [3]. Only patients with a good treatment compliance (> 80%), an acceptable delay between visits and available assessments for clinical and functional remissions were analyzed, that is 224 patients at 6 months' follow-up and 228 patients at 12 months'. At 6 months' follow-up, 45% of patients were in clinical remission and 37% in functional remission. These proportions reached 55% and 46% respectively at 12 months' follow-up. At 6 months' follow-up, the percentage of functional remission was 60% among patients in clinical remission, whereas it was 18% among patients not in clinical remission. These proportions were respectively 72% and 15% at 12 months' follow-up. The relationship between clinical and functional remissions was strong at both times (p < 0.0001). Conclusion: After 12 months of follow-up, almost half of the patients achieved a functional remission. The relationship between clinical and functional remissions is important, underlining the necessity to reach a clinical remission to achieve a functional remission.

Research paper thumbnail of Brain–Computer Interfaces: Effects on Brain Activation and Behavior

CRC Press eBooks, Oct 29, 2012

Research paper thumbnail of The subjective amplitude of the diurnal rhythm matters – Chronobiological insights for neuroimaging studies

Behavioural Brain Research

Research paper thumbnail of Vergence eye movements impairments in schizophrenia and bipolar disorder

Journal of Psychiatric Research

Research paper thumbnail of Analysis of fMRI Time Series: Neutrosophic-Entropy Based Clustering Algorithm

Journal of Advances in Information Technology

Analysis of Functional Magnetic Resonance imaging (fMRI) time series plays a vital role in identi... more Analysis of Functional Magnetic Resonance imaging (fMRI) time series plays a vital role in identifying the activation behaviour of neurons in the human brain. However, due to the complexity of the fMRI data, its analysis is challenging. Some studies show that the clustering methods can be beneficial in this respect. We apply a Neutrosophic Set-Based Clustering Algorithm (NEBCA) to fMRI time series datasets by this motivation. For the experimental purpose, we consider fMRI time series related to working memory tasks and resting-state. The clusters with different densities for the two analyzed cases are determined and compared. The identified differences indicate brain regions involved with the processing of the short-memory tasks. The corresponding brain areas are denoted according to Automated Anatomical Labeling (AAL) atlas. The statistical reliability of the findings is verified through various statistical tests. The presented results demonstrate the utility of the neutrosophic set based algorithm in brain neural data analysis.

Research paper thumbnail of CHICa scale

Research paper thumbnail of Acting-out and burn-out behaviours of operators monitoring automated systems

Research paper thumbnail of P.3.b.055 Break and recovery points of fusion differentiate schizophrenia from bipolar disorder patients

European Neuropsychopharmacology, 2017

Research paper thumbnail of Speed of processing of pictorial and word stimuli exposed to the left and to the right visual fields

Research paper thumbnail of Proces przenoszenia uwagi wzrokowej jako czynnik ryzyka błędu

Research paper thumbnail of Operation of attention disengagement and its diurnal variability

Research paper thumbnail of Post-lunch dip syndrome - temptation for reassessment

Research paper thumbnail of Saying “yes” when you want to say “no” - pupil dilation reflects evidence accumulation in a visual working memory recognition task

International Journal of Psychophysiology, 2019

A number of studies have shown that the pupil dilates during stimuli recognition and decision-mak... more A number of studies have shown that the pupil dilates during stimuli recognition and decision-making. Yet, little is known about the interaction between recognition memory and decision processes. Here, we investigated the possible link between pupil response and decision-related factors during a visual recognition task. Forty-eight volunteers took part in the study. The experimental task was based on the Deese-Roediger-McDermott paradigm designed to study false recognitions. Participants were shown different sets of two meaningless objects. After seeing each set, they were asked to determine whether the subsequent probe (positive, lure or negative) was already presented. We had found that the pupil dilated more and slower, and the reaction time was extended, when the upcoming choice was against individual response bias. Such a result indicates that recognition and rejection in memory tasks could be seen as two behavioral alternatives supported by evidence accumulation, in line with decision-making models. This interpretation was upheld with the drift-diffusion modelling based on pupil data. A similar pattern was observed for errors-larger pupil sizes before incorrect responses were accompanied by longer reaction times. Furthermore, before correct reactions, especially in participants differentiating more accurately between the old and new stimuli, pupil dilation was increasing faster, indicating swifter evidence accumulation. Taking into account the link between cognitive pupillary reflex and norepinephrine release, we conclude that similarly to decision making, reactions in memory tasks may partly depend on the locus coeruleus activity, which is the principal site for norepinephrine synthesis.

Research paper thumbnail of Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm

International Journal of Neural Systems, 2022

This study applies a neutrosophic-entropy-based clustering algorithm (NEBCA) to analyze the fMRI ... more 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 the experimental purpose. Three non-overlapping clusters of data related to temporal brain activity are determined and statistically analyzed. Moreover, we used the Uniform Manifold Approximation and Projection (UMAP) method to reduce system dimensionality and present the effectiveness of NEBCA. The results show that using NEBCA, we are able to distinguish between different working memory tasks and resting-state and identify subtle differences in the related activity of brain regions. By analyzing the statistical properties of the entropy inside the clusters, the various regions of interest (ROIs), according to Automated Anatomical Labeling (AAL) atlas crucial for clustering procedure, are determined. The inferior occipital gyrus is established as an important brain region in...