Czech Republic : Socio-economic aspects of migration

Since the early 1990s, when the Czech Republic has transformed into the main immigration destination among the V4 countries, can be identified several periods and milestones, which not only influenced the patterns of the international migration, but also the formation of the Czech migration policy. The aim of the chapter is to summarise and discuss recent developments in migration trends on general level, the demographic and socio-economic situation and migration governance in the period of 1989-2018. The chapter finds, that the trends characterising the current Czech migration policy, in contrast to high demand for labour force, is an increased effort to manage migration through stricter and more selective access to opportunities for foreigners. The restrictive trends in migration policies have been accompanied by explicit attempts to securitise migration in both, bureaucratic and political fields. This trend got most flagrant during the so-called migration crisis of 2015. Despite heated political debates, irregular migration flows affected the Czech Republic rather marginally, as the country was not a destination, but primarily a transit area for migrants and asylum seekers heading to Western and Northern Europe.Od počátku 90. let, kdy se Česká republika transformovala na hlavní imigrační cíl mezi zeměmi V4, lze identifikovat několik období a milníků, které ovlivnily nejen vzorce mezinárodní migrace, ale také formování české migrační politiky. Cílem této kapitoly je shrnout a diskutovat nejnovější vývoj migračních trendů na obecné úrovni, demografickou a sociálně-ekonomickou situaci a správu migrace v období 1989–2018. Kapitola shledává, že trendy charakterizující současnou českou migrační politiku, na rozdíl od vysoké poptávky po pracovní síle, jsou zvýšeným úsilím o řízení migrace prostřednictvím přísnějšího a selektivnějšího přístupu k příležitostem pro cizince. Omezující trendy v migrační politice byly doprovázeny výslovnými pokusy o sekuritizaci migrace v byrokratické i politické oblasti. Tento trend byl nejviditelnější během tzv. migrační krize roku 2015. I přes vyhrocené politické debaty se neregulérní migrace ČR dotýkala spíše okrajově, země nebyla cílovou destinací, ale spíše tranzitním prostorem migrantů a žadatelů o azyl ze severní Afriky a Blízkého východu, směřujících západní a severní Evropy

Dynamic competition between large-scale functional networks differentiates fear conditioning and extinction in humans.

The high evolutionary value of learning when to respond to threats or when to inhibit previously learned associations after changing threat contingencies is reflected in dedicated networks in the animal and human brain. Recent evidence further suggests that adaptive learning may be dependent on the dynamic interaction of meta-stable functional brain networks. However, it is still unclear which functional brain networks compete with each other to facilitate associative learning and how changes in threat contingencies affect this competition. The aim of this study was to assess the dynamic competition between large-scale networks related to associative learning in the human brain by combining a repeated differential conditioning and extinction paradigm with independent component analysis of functional magnetic resonance imaging data. The results (i) identify three task-related networks involved in initial and sustained conditioning as well as extinction, and demonstrate that (ii) the two main networks that underlie sustained conditioning and extinction are anti-correlated with each other and (iii) the dynamic competition between these two networks is modulated in response to changes in associative contingencies. These findings provide novel evidence for the view that dynamic competition between large-scale functional networks differentiates fear conditioning from extinction learning in the healthy brain and suggest that dysfunctional network dynamics might contribute to learning-related neuropsychiatric disorders

Towards Establishing Age-Related Cortical Plasticity on the Basis of Somatosensation.

Age-related somatosensory processing appears to remain intact where tasks engage centrally- as opposed to peripherally-mediated mechanisms. This distinction suggests that insight into alterations in neural plasticity could be derived via metrics of vibrotactile performance. Such an approach could be used to support the early detection of global changes in brain health but current evidence is limited. Knowledge of the precise conditions in which older adults are expected to sustain somatosensory performance is largely unknown. For this purpose, the study aimed to characterize age-related performance on tactile detection and discrimination-based tests. Accordingly, a group of young and older adult participants took part in simple reaction time and amplitude discrimination tasks. Participants' ability to distinguish between stimuli on the basis of amplitude was assessed with and without dual-site adaptation, which has been proposed to refine cortical responses and improve behavioral performance. The results show that while older adults exhibited significantly prolonged (p < .001, d = 1.116) and more variable (p = .022, d = 0.578) information processing speed compared to young adults, they were able to achieve similar scores in baseline discrimination (p = .179, d = 0.336). We also report, for the first time, that older adults displayed similar performance improvements to young adults, under conditions of dual-site adaptation (p = .948, d = 0.016). The findings support the argument that centrally-mediated mechanisms remain intact in the ageing population. Accordingly, dual-site adaptation data provide compelling new evidence of somatosensation in ageing that will contribute towards the development of an assessment tool to ascertain pre-clinical, age-related changes in the status of cortical function

Differentiation of functional networks during long-term memory retrieval in children and adolescents.

The processes that characterize the neural development of long-term memory (LTM) are largely unknown. In young adults, the degree of activation of a single large-scale memory network corresponds to the level of contextual detail involved; thus, differentiating between autobiographical, episodic, and semantic retrieval. In contrast to young adults, children and adolescents retrieve fewer contextual details, suggesting that they might not yet engage the entire memory circuitry and that this brain recruitment might lack the characteristic contextual differentiation found in adults. Twenty-one children (10-12 years of age), 20 adolescents (14-16 years of age), and 22 young adults (20-35 years of age) were assessed on a previously validated LTM retrieval task, while their brain activity was measured with functional magnetic resonance imaging. The results demonstrate that children, adolescents, and adults recruit a left-lateralized subset of the large-scale memory network, comprising semantic and language processing regions, with neither developmental group showing evidence of contextual differentiation within this network. Additionally, children and adolescents recruited occipital and parietal regions during all memory recall conditions, in contrast to adults who engaged the entire large-scale memory network, as described previously. Finally, a significant covariance between age and brain activation indicates that the reliance on occipital and parietal regions during memory retrieval decreases with age. These results suggest that both children and adolescents rely on semantic processing to retrieve long-term memories, which, we argue, may restrict the integration of contextual detail required for complex episodic and autobiographical memory retrieval

Neural correlates of dynamic emotion perception in schizophrenia and the influence of prior expectations.

Impaired emotion perception is a well-established and stable deficit in schizophrenia; however, there is limited knowledge about the underlying aberrant cognitive and brain processes that result in emotion perception deficits. Recent influential work has shown that perceptual deficits in schizophrenia may result from aberrant precision in prior expectations, associated with disrupted activity in frontal regions. In the present study, we investigated the perception of dynamic, multisensory emotion, the influence of prior expectations and the underlying aberrant brain processes in schizophrenia. During a functional Magnetic Resonance Imaging scan, participants completed the Dynamic Emotion Perception task, which induces prior expectations with emotion instruction cues. We delineated neural responses and functional connectivity in whole-brain large-scale networks underlying emotion perception. Compared to healthy individuals, schizophrenia patients had lower accuracy specifically for emotions that were congruent with prior expectations. At the neural level, schizophrenia patients had less engagement of right inferior frontal and parietal regions, as well as right amygdala dysconnectivity during discrimination of emotions congruent with prior expectations. The results indicate that individuals with schizophrenia may have aberrant prior expectations about emotional expressions, associated with under-activity in inferior frontoparietal regions and right amygdala dysconnectivity, which results in impaired perception of emotion

Dreams and the daydream retrieval hypothesis

© 2020 American Psychological Association. Dreams and daydreams are as beguiling as they are intangible. Both share many features, from neurobiology to the sensed experience. Nevertheless, the specific narrative relationship between both, if any, remains uncertain. Theories of dream origins are many: from the psychodynamic royal road, to biological theories including Hebbian-based memory consolidation and a unified quantum brain theory that extends to waking and dreaming alike. Both the ephemeral nature of dreams, and an inability to simultaneously study their content and biology, renders them difficult to research from a conventional biomedical perspective. This leaves agreement on the fundamental properties of dreams as ambiguous, and even the state of consciousness enjoyed during sleep is contested. What is known is that the qualia and neurophysiological signature of dreams and daydreaming share many features. We propose further, from a subjective experientialist position, that dream content is specifically derived from daydreaming or mindful wandering (subserved by the default mode network). If substantiated, this concept offers a new insight into the origin of dreams

Consciousness, Functional Networks and Delirium Screening.

BACKGROUND: Consciousness, the medium of sentient thought, requires integrity of functional networks and their connectivity. In health, they function as a co-operative but mutually exclusive paradigm of introspection versus external awareness subserved via the Default Mode Network and Task Positive State, respectively. Higher thinking in the conscious state is then segregated according to need. There is research evidence to suggest that functional networks may be impacted in disorders of consciousness and conceptual support for a mechanistic role in delirium. This potentially central aspect of delirium manifestation is relatively unexplored. OBJECTIVE: This article describes the role of disrupted functional networks in delirium. How this relates to current understanding of delirium neurobiology and the ramifications for clinical diagnosis is discussed. METHOD: A review of the role of functional networks, particularly DMN and TPN, has been undertaken with respect to health and delirium. An exploration of how symptoms of delirium may be related to functional network aberrancy has been undertaken. Implications for research and clinical practice in delirium have been presented. RESULTS: In delirium, a disturbance of consciousness, the DMN is pathologically co-activated and functional cortical connectivity is compromised. The clinical correlate is of an experiential singularity where internal and external drivers become indistinguishable, reality and delusion merge and the notion of self is effaced. Our group propose that functional network disruption in conjunction with cortical disconnectivity is central to the mechanism of delirium. Clinical tools may exploit the neurobiology of delirium to improve its diagnosis and an example of such a simple screening instrument (SQeeC) is provided. CONCLUSION: Functional networks are critically disrupted in delirium and may be central to clinical features. A better understanding of the neurobiology of delirium will generate research opportunities with potential for therapeutic gains in detection, diagnosis, and management

Association between schizophrenia polygenic risk and neural correlates of emotion perception.

The neural correlates of emotion perception have been shown to be significantly altered in schizophrenia (SCZ) patients as well as their healthy relatives, possibly reflecting genetic susceptibility to the disease. The aim of the study was to investigate the association between SCZ polygenic risk and brain activity whilst testing perception of multisensory, dynamic emotional stimuli. We created SCZ polygenic risk scores (PRS) for a sample of twenty-eight healthy individuals. The PRS was based on data from the Psychiatric Genomics Consortium and was used as a regressor score in the neuroimaging analysis. The results of a multivariate brain-behaviour analysis show that higher SCZ PRS are related to increased activity in brain regions critical for emotion during the perception of threatening (angry) emotions. These results suggest that individuals with higher SCZ PRS over-activate the neural correlates underlying emotion during perception of threat, perhaps due to an increased experience of fear or neural inefficiency in emotion-regulation areas. Moreover, over-recruitment of emotion regulation regions might function as a compensation to maintain normal emotion regulation during threat perception. If replicated in larger studies, these findings may have important implications for understanding the neurophysiological biomarkers relevant in SCZ

Salience and default-mode network connectivity during threat and safety processing in older adults.

The appropriate assessment of threat and safety is important for decision-making but might be altered in old age due to neurobiological changes. The literature on threat and safety processing in older adults is sparse and it is unclear how healthy ageing affects the brain's functional networks associated with affective processing. We measured skin conductance responses as an indicator of sympathetic arousal and used functional magnetic resonance imaging and independent component analysis to compare young and older adults' functional connectivity in the default mode (DMN) and salience networks (SN) during a threat conditioning and extinction task. While our results provided evidence for differential threat processing in both groups, they also showed that functional connectivity within the SN - but not the DMN - was weaker during threat processing in older compared to young adults. This reduction of within-network connectivity was accompanied by an age-related decrease in low frequency spectral power in the SN and a reduction in inter-network connectivity between the SN and DMN during threat and safety processing. Similarly, we found that skin conductance responses were generally lower in older compared to young adults. Our results are the first to demonstrate age-related changes in brain activation during aversive conditioning and suggest that the ability to adaptively filter affective information is reduced in older adults

Altered functional connectivity in mesial temporal lobe epilepsy.

Growing evidence of altered functional connectivity suggests that mesial temporal lobe epilepsy (mTLE) alters not only hippocampal networks, but also a number of resting state networks. These highly coherent, yet functionally distinct brain circuits interact dynamically with each other in order to mediate consciousness, memory, and attention. However, little is currently known about the modulation of these networks by epileptiform activity, such as interictal spikes and seizures. The objective of the study was to use simultaneous EEG-fMRI to investigate functional connectivity in three resting state networks: default mode network (DMN), salience network (SN), and dorsal attentional network (DAN) in patients with mTLE compared to a healthy cohort, and in relation to the onset of interictal spikes and the period immediately prior to the spikes. Compared to the healthy participants, mTLE patients showed significant alterations in functional connectivity of all three resting state networks, generally characterized by a lack of functional connectivity to prefrontal areas and increased connectivity to subcortical and posterior areas. Critically, prior to the onset of interictal spikes, compared to resting state, mTLE patients showed a lack of functional connectivity to the DMN and decreased synchronization within the SN and DAN, demonstrating alterations in functional coherence that may be responsible for the generation of epileptiform activity. Our findings demonstrate mTLE-related alterations of connectivity during the resting state as well as in relation to the onset of interictal spikes. These functional changes may underlie epilepsy-related cognitive abnormalities, because higher cognitive functions, such as memory or attention, rely heavily on the coordinated activity of all three resting state networks