Joanna Dreszer

Joanna Dreszer
Nicolaus Copernicus University | umk · Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, & Faculty of Humanities,

PhD

About

59
Publications
7,750
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
191
Citations

Publications

Publications (59)
Article
We present the Gaze Interaction Markup Language (GIML) and its interpreter, the Gaze-Controlled Application Framework, making the development of personalized gaze-based software available to people with no programming background. This software can be used by caregivers to find new methods of communicating with people who suffer from various physica...
Article
Full-text available
Background One of the goals of neuropsychology is to understand the brain mechanisms underlying aspects of attention and cognitive control. Several tasks have been developed as a part of this body of research, however their results are not always consistent. A reliable comparison of the data and a synthesis of study conclusions has been precluded b...
Article
CelCelem badania pilotażowego było sprawdzenie zależności pomiędzy rozdzielczością czasową w zakresie milisekundowym, pamięcią roboczą oraz inteligencją psychometryczną z uwzględnieniem analizy jakościowej błędów w Teście Matryc Ravena w wersji dla Zaawansowanych TMZ. MetodaTrzydzieści sześć osób (24 mężczyzn i 12 kobiet, w wieku 17–19 lat) wykonał...
Preprint
Full-text available
Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have...
Article
Full-text available
Here we attempted to define the relationship between: EEG activity, personality and coping during lockdown. We were in a unique situation since the COVID-19 outbreak interrupted our independent longitudinal study. We already collected a significant amount of data before lockdown. During lockdown, a subgroup of participants willingly continued their...
Article
Full-text available
A decline in the Spatial Navigation (SN) abilities has been observed in the course of healthy aging. Walking is an inseparable part of the navigation process; however, research tasks overlook this aspect in studies involving seniors. The present study was designed to overcome this limitation by recording gait parameters during natural environment n...
Article
Full-text available
Neural complexity is thought to be associated with efficient information processing but the exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) with the resting‐state EEG (rsEEG) complexity over different timescales and different electrodes was investigated. A 6‐min rsEEG blocks of eyes open were analyze...
Article
Full-text available
Chronic stress is the main cause of health problems in high-risk jobs. Wearable sensors can become an ecologically valid method of stress level assessment in real-life applications. We sought to determine a non-invasive technique for objective stress monitoring. Data were collected from firefighters during 24-h shifts using sensor belts equipped wi...
Preprint
Full-text available
The Gaze Interaction Markup Language (GIML) is presented, which is new language for designing the gaze-controlled application and psychological experiments (also by non-programmers).
Poster
Full-text available
Resting-state microstates are considered as good model of resting state networks observed in fMRI. The main advantage of imaging networks using EEG microstates is higher temporal resolution, which gives opportunity to investigate networks’ dynamic. The most interesting is microstate C because of its correlations with fluid intelligence (Gf). Moreov...
Article
Full-text available
Two examples of muli-level explanations of brain activity are provided. First study is aimed at extraction of information from EEG to recognize which brain regions are active using spectral fingerprinting. It is based on forward and inverse modeling of electric potentials measured by sensors placed on the scalp, and computing power spectra from dif...
Preprint
Full-text available
The current pilot study investigated the effect of stress on autonomic nervous system functioning quantified by heart rate variability (HRV) among firefighters (N = 26) on duty. Data were collected during 24-hour shifts, using sensor belts equipped with a dry-lead electrocardiograph (ECG) and a three-axial accelerometer. Additionally, evaluation of...
Article
The aims of our study were: (1) to examine changes in the whole-brain functional network under increased cognitive demands of working memory during an n-back task, and their relationship with behavioral outcomes; and (2) to provide a comprehensive description of local changes that may be involved in the formation of the global workspace, using hub...
Chapter
Information technology becomes important part of the current state of the art within health sciences. It allows to gather and analyze biomedical signals and data sets in the more efficient way, and provide better insight into evidences due to metabases and decision support systems based on computational intelligence. Social changes, development of...
Article
Full-text available
Neurological early and long-term rehabilitation plays a crucial role in the therapy of patients with disorders of consciousness (DOC) such as unresponsive wakefulness syndrome or minimally conscious state. Neuroscience tries to explain the effect of music therapy on all levels of the nervous system = activity in patients with DOC, but full understa...
Chapter
Teamwork, interprofessional practice and learning are integral to current interdisciplinary research and health care - such approach can maximize professional resources and optimize outcomes. The development of modern technologies associated with medical sciences, and the variability of possible neurological deficits, interventions, and even scales...
Article
Cognitive robots constitute a highly interdisciplinary approach to the issue of therapy of children with developmental disorders. Cognitive robots become more popular, especially in action and language integration areas, joining the experience of psychologists, neuroscientists, philosophers, and even engineers. The concept of a robot as a cognitive...
Chapter
Recent demographic prognoses show tendencies toward a significant increase in the number of elderly people, especially in developed countries. This makes geriatric therapy, rehabilitation, and care difficult, especially with maintaining as long as possible the highest quality of life and independence in activities of daily living. Lack of specializ...
Article
Full-text available
Mikołajewska Emilia, Komendziński Tomasz, Dreszer Joanna, Bałaj Bibianna, Mikołajewski Dariusz. Role of toys in the development of healthy infants. Journal of Education, Health and Sport. 2015;5(4):219-223. ISSN 2391-8306. DOI: 10.5281/zenodo.16845 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%284%29%3A219-223 https://pbn.nauka.gov.p...
Article
Full-text available
Mikołajewska Emilia, Komendziński Tomasz, Dreszer Joanna, Bałaj Bibianna, Mikołajewski Dariusz. Role of toys in the development and rehabilitation of children with developmental disorders. Journal of Education, Health and Sport. 2015;5(4):224-228. ISSN 2391-8306. DOI: 10.5281/zenodo.16864 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%...
Article
Full-text available
Purpose: Currently there is no direct method available to automatically distinguish between emotions by realtime computational analysis and stabilize emotional state of the subject using series of standarized pictures or others stimuli. The aim of this study was to find out whether is true if our new concept of intelligent emotions stabilization sy...
Article
Full-text available
Sokolov Oleksandr, Dobosz Krzysztof, Dreszer Joanna, Duch Włodzisław, Grzelak Sławomir, Komendziński Tomasz, Mikołajewski Dariusz, Piotrowski Tomasz, Świerkocka Małgorzata, Weber Piotr. Spirometry Data Analysis and Monitoring in Medical and Physiological Tests. Journal of Education, Health and Sport. 2015;5(3):35-46. ISSN 2391-8306. DOI: 10.5281/ze...
Article
Full-text available
Background: Human physiological system belongs to the most complex systems which elements has been described in detail using different mathematical models. Due to high complexity of elements, the design of whole physiological system depends on the goal of investigations. We would like to concentrate our efforts on emotions influence to physiologica...
Chapter
Information technology becomes important part of the current state of the art within health sciences. It allows to gather and analyze biomedical signals and data sets in the more efficient way, and provide better insight into evidences due to metabases and decision support systems based on computational intelligence. Social changes, development of...
Chapter
Teamwork, interprofessional practice and learning are integral to current interdisciplinary research and health care-such approach can maximize professional resources and optimize outcomes. The development of modern technologies associated with medical sciences, and the variability of possible neurological deficits, interventions, and even scales m...
Article
Full-text available
Sokolov Oleksandr, Meszyński Sebastian, Weber Piotr, Mikołajewski Dariusz, Dreszer Joanna, Bałaj Bibianna, Grzelak Sławomir, Duch Włodzisław, Komendziński Tomasz. Multiagent modeling of emotions influence on physiological systems: new concept = Modelowanie wieloagentowe wpływu emocji na układy fizjologiczne: nowa koncepcja. Journal of Education, He...
Conference Paper
Full-text available
This paper addresses the problem of designing closed-loop control of emotion based on affective measures and computing. The work is focused on design rule base control system that serves for positive emotion state stabilization. The proposed approach is based on analyzing of breathing signal. The measured signal is analyzed according to features im...
Article
This study examined the relationship between types of overexcitability (OEs), Big Five dimensions, and giftedness. A sample of intellectually gifted adolescents (N = 132) and controls (N = 103) completed the OEQ-II and the NEO-FFI. As hypothesized, the gifted scored higher than controls on intellectual OE, imaginational OE, and openness to experien...
Chapter
Recent demographic prognoses show tendencies toward a significant increase in the number of elderly people, especially in developed countries. This makes geriatric therapy, rehabilitation, and care difficult, especially with maintaining as long as possible the highest quality of life and independence in activities of daily living. Lack of specializ...
Article
Full-text available
Abstract The huge complexity and variety of deficits in children, their continuous development, and co-operation simultaneously with children and their parents make clinical practice in pediatric neurorehabilitation particularly challenging. Thus scientists and clinicians still look for newer, more efficient diagnostic and therapeutic tools. One of...
Chapter
Full-text available
Visualization of scientifi c information extends the possibility to explore how the science is organized and change over time. Particularly classifi ed data include a great potential of discovering the structure and dynamics of specifi ed domain. The authors applied tested and previously presented conception of ACM CCS (Computing Classification Sy...
Conference Paper
Full-text available
Neuroscience evidence has suggested that intelligence might be defined as a system ability to dynamic adaptation to changes in environment. According to this thesis, the most important dimension shared by all adaptation levels is time, conceptualized as temporal structure appearing in human behavior. Personal tempo (PT) can be considered as a promi...
Chapter
This chapter reviews existing studies on neural representation of time and timing processes. New findings in clinical neuropsychology, functional magnetic resonance imaging, electrophysiology, and psychophysics are presented to explain how the temporal information is processed within our brains. The literature data are illustrated with results of o...
Conference Paper
Full-text available
Temporal information processing seems to be more related to the general intelligence level than classical measures of mental speed. A large body of experimental evidence has suggested that the rate of brain ‘clock’ systems determines temporal aspects of information processing (e.g. perception, speech or working memory, or motor activity). Timing co...
Article
The aim of the present study was to determine whether simple visual signs (shapes) located on the plane reveal the effect of prototypicality. The research used seven-year-old children's drawings produced from a set of simple line sign stimuli: semicircle, perpendiculars, a straight line, a diagonal, and a wavy line. The stimulus set was rotated on...

Network

Cited By

Projects

Projects (2)
Project
The functional ascription of the different EEG frequency bands to various behavioral and cognitive functions is still debated as we do not have direct proofs of their production by the relevant brain structures. EEG is recorded with electrodes located on the surface of the head. Due to the long range of electric fields, each EEG electrode records a mixture of signals generated by multiple neuronal groups scattered within the brain volume. Standard analytical methods easily decompose EEG signal into its basic components (e.g. frequencies of oscillations), but the question regarding the location of the brain structures generating particular components remains largely unresolved. If we want to really understand how brain works and how it realizes our most sophisticated cognitive abilities, we urgently need to deepen the understanding of the relation between EEG signal recorded from the scalp and brain structures contributing to its activity. In our project we plan to run a set of experiments during which volunteers will be asked to perform computer based tasks requiring cognitive effort. We will record their brain activity with multichannel EEG and in parallel we will perform magnetic resonance imaging (fMRI) – a method that has advantages complementary to EEG – in particular it has very good spatial resolution. fMRI proved to be effective in indicating (with a millimeter precision) the spots of active brain tissue. In our experiment we will use fMRI data to locate the structures activated by cognitive tasks, and with sophisticated mathematical analysis we will look in recorded EEG signals for spatio-temporal patterns characteristic for these structures. Most of research in this area focused on searching for sources of the individual frequency bands. It is however unlikely that a brain structure would produce simple signal composed of one frequency. We would rather expect that brain areas should produce more complicated but characteristic (defined by particular morphology and set of connections) spatio-temporal maps of electrical activations. Such maps should appear like a fingerprint within EEG record each time a structure was activated. Apart from undertaking this neurophysiological challenge, the project will also advance the field of neuroinformatics by proposing, developing and testing novel approaches of mathematical signal analysis. Different computational algorithms were proposed previously to detect the link between the in-brain active sources and EEG waves, but none of them can offer unambiguous conclusions. False assumptions of dipoles localization, volume conductions or improper signal separation fabricate spurious landscape of the detected generators and deceive our interpretation of the brain activity. We propose novel mathematical solutions based on minimum-variance pseudo-unbiased reduced-rank estimator achieves provably smaller error if sources are closely positioned, especially if the background activity is high, that is where most of currently used methods fail. The outcomes of our project will advance understanding of how the brain activity is represented in the EEG signal and will equip specialists with novel analytical tools allowing for its efficient use in research dedicated to physiology, psychopathology and therapy of cognitive functions such as attention.