Browsing by master's degree program "Neurotieteen maisteriohjelma"

Adolescent ill-being has in recent years become a prominent health concern globally. Ill-being during adolescence can have negative consequences for future health and wellbeing, as important patterns of health are formed during this time. This highlights the importance of early identification of risk factors and overarching patterns of mental and physical ill-being and arguments for early intervention during adolescence. The aim of this study was to identify risk factors and co-occurrence of subjective ill-being symptoms in the form of depressive symptoms and subjective health complaints. This study also examined whether the subjective ill-being of students was reflected in cortisol patterns in a naturalistic setting. This since stress has been identified as a key etiological factor in ill-being, through the damaging effect of prolonged exposure to elevated cortisol levels. By applying a novel measure of school atmosphere, the study also aimed to examine the potential protective role of the social atmosphere in school on subjective ill-being and cortisol levels. A total of 329 students from eleven Finnish-Swedish upper secondary schools participated in the cross-sectional study by answering a questionnaire. The salivary cortisol samples were collected from a subsample of the participants, with of a total of 209 participant that met the salivary sampling criteria applied in the study. The methodological framework for the statistical analysis of the study consisted of independent samples t-test, ANOVA, Pearson’s correlation, and multiple linear regression. The results showed a higher prevalence of ill-being in girls and second year students. A significant co-occurrence was found for the subjective ill-being measures of depressive symptom and subjective health concerns. The subjective ill-being was however not reflected in the daily cortisol patterns of students in a naturalistic setting. Furthermore, a positive school atmosphere was significantly negatively associated with subjective ill-being of student in the form of depressive symptoms and subjective health complaints. When controlling for covariates, the subjective meaning of school experienced by the students was identified as a significant protective factor against symptoms of ill-being. These findings identify students in need of additional support and highlights the need of applying an overarching view on student ill-being in future adolescent research. Since no associations was found between daily cortisol patterns and subjective ill-being this study contributes to the understanding of HPA axis in early disorder onset. This study also highlights the importance of subjective meaning in a school context and posits increasing the subjective meaning as a prominent strategy to decrease ill-being among Finnish-Swedish upper secondary school students. Further studies are however needed to assess the causality and to examine these relationships further.

Anxiety disorders are the most prevalent mental disorders in the world and often show comorbidity with sleep disorders. The bidirectionality of sleep disturbances and anxiety disorders is a hot topic in research and the understanding of the underlying mechanisms is crucial for the development of successful methods of intervention. Studies on the effect of sleep disturbances on anxiety-like behaviour in rodents, however, are limited and have been so far inconclusive. One factor behind this could relate to the limitations that exist when studying behaviour, hindering the replicability of results. Recently, novel behavioural approaches based on deep learning have been introduced, aiming to automate behavioural tracking, thus minimising the subjectivity of manual scoring that is often required for the assessment of more complex behaviours. The aim of this thesis was to use one of the recently developed deep learning tools, namely DeepLabCut (DLC), as well as a DLC data analysis tool, DeepOF, to examine whether chronic (14-day) sleep fragmentation (SF) affects anxiety-like behaviour in female mice and if one week of recovery period affects this phenotype. For the assessment of behaviour, a battery of behavioural tests was conducted immediately after SF and repeated after a week of recovery. The behavioural test data was then analysed using conventional methods, as well as using DLC and DeepOF for supervised analysis of more complex behaviours. These results show that SF does not increase anxiety-like behaviour in female mice, in both conventional and deep learning measurements of behaviour, but may affect locomotor activity, results which contradict previous findings. Despite this, DLC and DeepOF were found to be reliable and valuable tools for the identification and comparison of complex behaviours in mice, overcoming the oversimplified nature of the conventional behavioural tests.

Educational technology is advancing rapidly, with VR (virtual reality) emerging as a promising branch of XR (extended reality) technology for educational purposes. Utilizing head-mounted displays (HMD), immersive VR experiences immerse users in a virtual environment, limiting their awareness of the physical world. VR proves valuable in education by complementing traditional teaching methods, offering experiences impossible in the physical realm. Studies indicate enhanced affective factors, understanding, motivation, and memorization among students. In biology education, VR serves as a visual aid, helping students grasp complex biological concepts difficult to visualize from a two-dimensional textbook. It also shows potential in supplementing hands-on activities like laboratory work and anatomical dissections, experiences outside classrooms, and sustainability education. However, challenges persist in VR's educational application, including uncertainty about learning outcomes, health concerns, high costs, and a general lack of expertise in VR design and pedagogical implementation. Educational VR design has thus far lacked a foundation in pedagogy and learning theories. This thesis aims to address this gap by reflecting on the development of a pedagogically meaningful VR experience within sustainability education. Collaborating with the Global Campus project of the University of Helsinki, the thesis introduces a VR experience integrated into the immersive virtual sustainability learning experience, Serendip. The design process involved literature research, user and expert interviews, and consideration of learning theories such as constructivist learning, experiential learning, flow theory, gamification, CTML, SDL, and CLT. Specific aspects of VR design, like immersion levels and prior knowledge of users, were also considered. The thesis's significance lies in pioneering pedagogy-based design for educational VR, particularly addressing complex, abstract, and multidisciplinary subjects. It emphasizes the need for collaboration among pedagogy, content, and VR animation experts in future educational VR design. This work serves as a potential template and inspiration for further research in the field, aiming to refine the integration of pedagogical principles into VR experiences for education.

Pain is a subjective feeling often difficult to interpret or study and thus, pain of those unable to communicate their pain is difficult to recognize. According to the new definition of pain by IASP (Raja et al 2020), verbal description is only one of the many behaviours that can be used to express pain, and the inability to communicate pain does not negate the possibility of experiencing it. This addition to the definition points out that non-human animals, too, even if they cannot express it in words, are capable of both experiencing and communicating pain. Can we as humans interpret a state of pain in an animal in a trustworthy way – and in a manner that would be respectful and non-invasive to the animal? Infrared thermography (IRT) is a technology based on using infrared radiation instead of normal light to form images. These images can be used to quantify the surface temperature of an object with high resolution. The intensity of the radiation emitted by the object being imaged depends on the surface temperature and for this reason thermal imaging enables detecting and measuring changes of surface temperature. Pain and stress might manifest physiologically as activation of the autonomic nervous system, which in turn might result in changes in surface temperatures of the body. These changes might be detectable with a thermal camera. If we could establish a link between certain intricate temperature changes of the head area to certain type of activation of the sympathetic nervous system resulting from pain, thermal imaging could have the potential to detect this. In this study I investigated if there were detectable temperature changes in animal patients before and after a standard examination conducted to each patient admitted to the Wildlife Hospital of Helsinki Zoo, where my data was gathered. Another question was whether the patients that had pain differed in their temperature changes as compared to other patients. The question at the heart of my research was whether there would be a change in peripheral facial temperatures of patients before and after the examination. Another question was whether thermal patterns would be different for pain- and non-pain patients. I found that for some parameters, the temperature differences between pain- and non-pain patients were indeed different, for example the crown temperature of birds seemed to change with examination for patients without pain but not for patients with pain. A more prominent finding was that temperatures decrease across many parameters after an examination as compared to prior to it, across all or many patient groups. My research does not univocally show that thermal imaging could be used to detect pain; rather it affirms the thought that the measurement of changes in peripheral temperatures could be a potential window to non-invasively detect some changes of activation of the sympathetic nervous system in animals.

Accumulating evidence indicates that the plasticity-inducing effects of conventional antidepressant drugs like fluoxetine are mediated by their direct binding to TrkB. TrkB is the receptor of the brain-derived neurotrophic factor (BDNF), a neurotrophic factor of critical importance for neuron survival and synaptic plasticity. In addition, it has recently been reported that LSD and psilocybin, two psychedelic compounds with therapeutic potential, also bind to TrkB with higher affinity than antidepressants. It has been proposed that the differences in binding affinity between conventional antidepressants and psychedelics may help explain the much faster and longer-lasting antidepressant effects of psychedelics. Psychedelics and classical antidepressants bind to the transmembrane domain of TrkB dimers, where they act as positive allosteric modulators by potentiating the action of endogenous BDNF. The transmembrane binding sites of LSD and fluoxetine, despite being partially overlapping, are distinct and induce different conformational changes when bound to TrkB dimers. However, it is still unknown whether there are differences in the TrkB dimerization dynamics and neurotrophic signalling pathways induced by psychedelics when compared to conventional antidepressants. In this study, we investigated whether psychedelics and classical antidepressants promote TrkB dimerization and neurotrophic signalling in a differential manner. The effects of psychedelics on the TrkB dimerization dynamics and neurotrophic signalling associated with plasticity were studied treating N2a cells and primary cortical neuronal cultures with LSD or fluoxetine. Dimerization of the TrkB receptor in the presence of experimental compounds is assayed by protein-fragment complementation assay (PCA). Results show a significant dimerization in cells treated with LSD, whereas non-significant response in the ones treated with fluoxetine. The phosphorylation state of the neuronal TrkB receptor in three different tyrosines (Y515, Y706, and Y816) was checked as a marker of its activation by Western blot. Primary cortical cultures were treated with classical antidepressant fluoxetine (10uM) or psychedelic LSD (100nM) for 1 hour, when their effects on TrkB phosphorylation were compared. This experiment showed a significant increase of phosphorylation in TrkB Y816 after LSD treatment in cortical neuronal cultures, while fluoxetine treatment showed no significant effect. This indicates that LSD is able to activate the BDNF-TrkB signalling pathway associated with PLCg1 recruitment and induction of plasticity at an early time point and with a much lower concentration than fluoxetine, which would support LSD’s much more potent antidepressant and plasticity-inducing effects when compared to fluoxetine’s. Together, these results suggest that psychedelics that bind to TrkB, like LSD, are more potent than classical antidepressants in inducing TrkB-BDNF signalling. Overall, this study provides further evidence that TrkB is a critical mediator of psychedelics’ actions on neurotrophic signalling preceding their plasticity-enhancing and antidepressant effects and sheds more light on the common and differential mechanisms used by psychedelics and conventional antidepressants to produce their therapeutic effects.

Glioblastoma is the most aggressive and lethal tumor in the central nervous system. One of the main challenges of current treatment reside in its high intratumoral heterogeneity. Within one tumor, there could be several glioblastoma subtypes which harbor distinct molecular signatures and associated with different clinical properties. For instance, mesenchymal-like glioblastoma patients have the shortest survival time and this subtype is highly resistant to radiation. The current subtype classification heavily relies on transcriptomic analysis, which is not available for every patient due to its high cost. Here, I utilized a polycation reagent to treat neural-progenitor-like and mesenchymal-like glioblastoma cells with increasing concentrations and evaluate their cell viability using luminescence-based CellTiter-GLO assay. I found that neural-progenitor-like glioblastomas cell growth was significantly inhibited at intermediate concentrations of the polymer, while mesenchymal-like glioblastomas were less affected. With polymer concentration increasing, the inhibition effect displays a dose-dependent trend. My results demonstrated that neural-progenitor-like glioblastomas are more sensitive to the polymer than mesenchymal-like ones. The different sensitivity towards the polymer between these two subtypes suggests polymer could be used as a potential reagent to distinguish glioblastoma subtypes.

Abstract: The EEG measurement protocol is standardized and in use globally. The skull is measured to ensure that the electrodes are placed in the correct position. Measurements are necessary because skull sizes and shapes are different. Studies for placing electroencephalograph (EEG) electrodes on a human head are typically introduced theoretically before students are granted the opportunity to practice. Due to the limited availability of EEG equipment and supervisory staff, students encounter shortened practical training sessions and lengthy waiting periods transitioning from theory to practical components. The main aim of this project was to create a learning environment with game technologies to help students study electrode placement during the idle time between theory lessons and practical training. We set out to determine whether students experienced some learning gain and if they had a positive experience with the learning environment. We simultaneously assessed if fuzzy feedback is preferred over exact feedback. Additionally, the aim was to make use of a design-based approach with the information from a User Experience Questionnaire (UEQ) the EEG-simulator. Our group developed and tested a digital learning application that provides a 3D model of a human head, on which learners can practice placing EEG electrodes. We followed a user-centric design science approach to ensure our application appeals to our target audience. We used an observational post-test only design with two experimental groups and a control group. We applied a widely accepted user experience questionnaire to ascertain which of our two feedback systems elicited the best user experience. We also qualitatively analyzed diaries the students kept, as they worked with the learning environment, to better understand future development options for further maximizing the environment’s learning benefit. The overall application was well-received, and students opined that the application significantly enhanced their practical session experience. Although the post-test evaluation showed no difference between the two experimental groups, the user experience questionnaire showed that the fuzzy feedback system was preferred over the exact feedback. Furthermore, it was evident that students who had not used the learning environment struggled more to come to terms with the practical session. The personal experience recording by the students revealed several suggested improvements to the learning environment. We conclude that, with further development, this EEG placement learning application could address the idle period between demonstration lessons and practical training. We also venture to state that fuzzy feedback is preferred because of the high-fidelity mimicry of real teacher feedback. The last part of the research was to develop the EEG simulator so that it will increase theory learning with a simulator, that works, and this is ongoing. We have developed the last EEG simulator version with AR (augmented reality) mobile version that can be used with any smart devices. The future work is to test EEG application and does application influence student's theory learning process.

Microglia, the resident macrophage-like glial cells of the central nervous system (CNS), form the first line of defense against pathogens in the brain, and regulate both innate and adaptive immunity. Any abnormalities in their microenvironment lead to microglial activation, characterized by alterations in their gene expression, morphology, and functional behavior. Once activated, microglia respond to CNS injury and inflammation by, e.g., migrating to the site of damage, releasing pro-inflammatory cytokines, as well as phagocyting cell debris and pathogens. Prolonged activation of microglia expressing pro-inflammatory phenotypes can lead to exacerbated CNS damage. Hence, limiting CNS inflammation by stimulating microglial polarization towards their pro-resolving phenotypes would be of great clinical relevance. The research of our laboratory focuses on CNS injury and repair, as well as finding novel therapies for ischemic stroke. Specialized pro-resolving mediators (SPMs) derived from essential fatty acids have been proposed to offer a potential therapeutic approach for ischemic stroke via promoting resolution of post-stroke inflammation. Previous studies have revealed the ability of SPMs to induce a transformation of macrophages, the immune cells strongly resembling microglia, towards their anti-inflammatory phenotypes. The aim of this study was therefore to assess whether SPMs have similar effects on BV2 microglia, specifically on their lipopolysaccharide (LPS)-induced production of pro-inflammatory cytokines, tumor necrosis factor α (TNF-α) and interleukin 6 (IL-6). In addition to assessing the cytokine levels, our aim was to determine the optimal conditions for studying the effects of SPMs on microglial migration. In the present study, the levels of TNF-α and IL-6 were determined by specific ELISAs, and the transwell assay was used to measure microglial migration. Resolvins E1 (RvE1) and D1 (RvD1), as well as protectin D1 (PD1) and 15-epimer of lipoxin A4 (15-epi-LXA4) were all associated with decreased levels of TNF-α and IL-6, with RvE1 having the most potential as a resolving agent. In addition, we observed that serum starvation notably decreases the release of IL-6 and affects microglial migration. Overall, our results support the idea that SPMs could provide a novel therapeutic strategy for stroke therapy as they contribute to the resolution of CNS inflammation.

Early life stress (ELS) has been associated with the development of psychiatric disorders such as anxiety and depression later in life. The central hypothesis is that these disorders are caused by a malfunctioning of the serotonin system and serotonin (5-HT) produced in the dorsal raphe nucleus (DRN). The DRN is anatomically connected to the medial prefrontal cortex (mPFC), especially to the infra- and prelimbic cortex, where 5-HT modulates behaviors such as impulsivity and cognitive flexibility. The DRN and mPFC mediate with low-frequency network oscillations, which are indicative of the state of the network and its funtional connectivity, as disturbances in these network oscillations have been connected to neuropsychiatric disorders. The aim of the thesis is to investigate whether and how ELS can influence the local field potential (LFP) activity of the mPFC and DRN and the functional connectivity of the DRN and mPFC. This is researched by characterizing and comparing the LFP activity recorded in the DRN, where 5-HTergic neurons are located, and in layer 5 of the infralimbic area of the mPFC. To accomplish these aims, a well-established animal model of early-life stress, the limited bedding and nesting model (LBN), was used. The model causes fragmented maternal care due to the stress of the dam, which in turn leads to the stress of the pups. Simultaneous multi-site recordings of LFP and multi-unit activity (MUA) within DRN and mPFC were performed in vivo during postnatal days (PND) 10-11 from control and LBN pups to characterize the network activity of these two brain areas and then investigate possible changes in their functional connectivity. The efficacy of the LBN model was determined by the observed decreased weight gain of LBN animals compared to controls. From the data, the LFP activity of the DRN and mPFC were characterized. The activity was characterized as power spectrum, wavelet spectrum, and MUA with DRN showing discontinuous activity with low signal-to-noise ratio and low frequency theta oscillations (4-12 Hz), while mPFC showed almost continuous activity with higher signal-to-noise ratio and developing gamma oscillations (20-50 Hz). The power of LFP signal of the areas was not found to be affected by ELS. To investigate if the coupling by synchrony between DRN and mPFC networks is altered by ELS, I analyzed wavelet coherence by computing coherence values between LFP signals in DRN and mPFC in a control and ELS for frequencies from 1 to 50Hz. The functional connectivity was affected by ELS. Statistically significant changes were observed in wavelet coherence in the lower frequencies of 1-2.8 Hz between the control and LBN treatment, suggesting impaired synchronization between DRN and mPFC at 1-2.8Hz frequency range immediately after ELS exposure at PND 10-11 mice. Caveats of the study were low signal-to-noise ratio of the recordings, the small group size of LBN animals (n=5) as well as the uneven sex distribution (male n=11, female n=3) which prevented the sex-based comparison of the effects of ELS. The thesis examines postnatal LFP brain activity in the DRN and mPFC and the functional connectivity between these brain areas. The results of the thesis show that ELS exposure is able to influence the functional connectivity of these two brain regions. The results support previous findings, which have found alterations in the functional connectivity of the neural networks underlying neuropsychiatric disorders in adulthood. The findings of this thesis suggest that ELS could affect the functional connectivity of a developing network and thus increase the risk of the development of neuropsychiatric disorders. Further studies are needed with larger group size, even gender balance, and better signal-to-noise ratio of recordings.

An increasing number of people are diagnosed with depression. One possible reason for the development of depression is faulty wiring and information processing in certain neural networks (network hypothesis) in the central nervous system. It has been shown that antidepressant drugs (ADs) can induce a juvenile-like plasticity state in the brain (iPlasticity) comparable to the plastic state of critical periods during development. iPlasticity enables the rewiring of neuronal networks in combination with environmental stimuli. At the molecular level, the binding of brain-derived neurotrophic factor (BDNF) to its high-affinity receptor tropomyosin kinase receptor B (TRKB) leads to TRKB dimerization and activation, triggering a downstream signalling cascade promoting brain plasticity. Activation of the TRKB signalling cascade is triggered by neuronal activity as well as AD treatment. Recent findings demonstrate that classical as well as rapid-onset ADs bind directly to the transmembrane domain of TRKB, leading to increased translocation of intracellularly stored TRKB to the plasma membrane and enhanced BDNF binding. Cholesterol, a sterol lipid known to regulate TRKB signalling, has been found to ensure optimal TRKB-BDNF signalling by changing the TRKB dimers’ relative orientation when altering the membrane thickness. A point mutation of TRKB tyrosine 433 to phenylalanine (TRKB.Y433F) has been found to hinder TRKB dimerization. Molecular dynamic simulations reveal that other membrane lipids are likely to participate in AD binding to TRKB. The aim of this thesis was to investigate whether lipid and drug compound treatments affect TRKB dimerization in Neuro2A cells expressing TRKB. Furthermore, we assessed whether the Y433F mutation modulates TRKB dimerization in such treatments. Protein fragment complementation assay (PCA) was used as in vitro protein-protein interaction assay to quantify dimerization of overexpressed TRKB carrying two split luciferase reporter proteins. Additionally, to avoid variability caused by transient transfection and be able to test large compound libraries, the establishment of a stably TRKB-expressing N2A cell line was initiated. The results show that lipid compounds, such as Allopregnanolone, as well as ADs, such as Imipramine and (2R,6R)-Hydroxynorketamine, increased TRKB dimerization in vitro in a dose-dependent manner within 40 minutes. The increase was more pronounced in the TRKB WT-expressing cells. This indicates that the compounds tested here may be directly interacting with TRKB, facilitating dimerization. Moreover, data seem to confirm previous research on the less effective TRKB.Y433F mutation. While stable expression of TRKB carrying one of the luciferase reporter proteins was successfully achieved in a monoclonal cell line, the amount of protein expressed seems to require further optimization before utilising it for PCA. In conclusion, lipid and AD treatments can induce an increase in TRKB dimerization in a dose-dependent fashion. Further investigations are needed to determine where the compounds bind and by which mechanisms they exert their effects on TRKB. Furthermore, the work on the stable cell line will be completed to avoid variability of transient transfection in the future.