Displaying publications 61 - 80 of 489 in total

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  1. Smidt K, Mackenzie L, Dhillon H, Vardy J, Lewis J, Loh SY
    Support Care Cancer, 2016 11;24(11):4679-87.
    PMID: 27320905 DOI: 10.1007/s00520-016-3315-y
    OBJECTIVE: Cancer-related cognitive changes (CRCC) can have a profound impact on a cancer survivor's quality of life. However, cancer survivors frequently report receiving limited information about their experience of CRCC from their oncology specialists. This qualitative study aimed to explore the perceptions of oncology specialists regarding CRCC and the potential for their views to influence their decisions about patient care.

    METHODS: Thirteen medical oncologists and five radiation oncologists currently practising in Australia participated in this study. Data collection involved individual semi-structured interviews via telephone. Data were audio-recorded, transcribed verbatim and analysed using a thematic approach.

    RESULTS: Four key themes emerged: (1) beliefs about the impact of priming on cancer survivors' perceived cognitive function, (2) perceptions of who is more likely to raise concerns of cognitive change, (3) uncertainty of how to best manage CRCC, and (4) the perceived role of oncologists in the management of CRCC.

    CONCLUSIONS: CRCC and its impact on the cancer survivor's journey have been under-addressed by oncology specialists, and they are uncertain of potential management strategies. With cancer survival rates increasing, there is a need for specific interventions and management guidelines addressing CRCC and their effects on cancer survivors. Future exploration should focus on the survivor as central to their care and holistic approaches to CRCC management involving all members of the multidisciplinary team.

    Matched MeSH terms: Cognition/physiology*
  2. Yahya N, Manan HA
    Support Care Cancer, 2021 Jun;29(6):3035-3047.
    PMID: 33040284 DOI: 10.1007/s00520-020-05808-z
    BACKGROUND: Proton therapy (PT), frequently utilised to treat paediatric brain tumour (PBT) patients, eliminates exit dose and minimises dose to healthy tissues that theoretically can mitigate treatment-related effects including cognitive deficits. As clinical outcome data are emerging, we aimed to systematically review current evidence of cognitive changes following PT of PBT.

    MATERIALS AND METHODS: We searched PubMed and Scopus electronic databases to identify eligible reports on cognitive changes following PT of PBT according to PRISMA guidelines. Reports were extracted for information on demographics and cognitive outcomes. Then, they were systematically reviewed based on three themes: (1) comparison with photon therapy, (2) comparison with baseline cognitive measures, to population normative mean or radiotherapy-naïve PBT patients and (3) effects of dose distribution to cognition.

    RESULTS: Thirteen reports (median size (range): 70 (12-144)) were included. Four reports compared the cognitive outcome between PBT patients treated with proton to photon therapy and nine compared with baseline/normative mean/radiotherapy naïve from which two reported the effects of dose distribution. Reports found significantly poorer cognitive outcome among patients treated with photon therapy compared with proton therapy especially in general cognition and working memory. Craniospinal irradiation (CSI) was consistently associated with poorer cognitive outcome while focal therapy was associated with minor cognitive change/difference. In limited reports available, higher doses to the hippocampus and temporal lobes were implicated to larger cognitive change.

    CONCLUSION: Available evidence suggests that PT causes less cognitive deficits compared with photon therapy. Children who underwent focal therapy with proton were consistently shown to have low risk of cognitive deficit suggesting the need for future studies to separate them from CSI. Evidence on the effect of dose distribution to cognition in PT is yet to mature.

    Matched MeSH terms: Cognition
  3. Abdollahpour Ranjbar H, Parhoon H, Mohammadkhani S, Munawar K, Moradi A, Jobson L
    Suicide Life Threat Behav, 2021 06;51(3):586-595.
    PMID: 33565166 DOI: 10.1111/sltb.12735
    OBJECTIVE: This study compared cognitive control (working memory, interference control, perseveration) and cognitive emotion regulation among Iranian women with depression who had attempted suicide, had only suicidal ideation, and healthy controls.

    METHOD: Participants (N = 75) completed a clinical interview, cognitive control tasks, and the Cognitive Emotion Regulation Questionnaire.

    RESULTS: Those with suicidal ideation or previous attempts had poorer cognitive control and cognitive emotion regulation than controls. Furthermore, those who had attempted suicide had poorer cognitive control and reported greater use of self-blame, rumination, and catastrophizing, and less use of acceptance, than those with suicidal ideation only. There was an indirect effect of cognitive control deficits on suicidality through cognitive emotion regulation (self-blame, acceptance, rumination, catastrophizing).

    CONCLUSIONS: Exploring these cognitive deficits and difficulties can assist in further understanding the risk factors for suicidality and improve targeted interventions. This is of particular relevance in Iran where the need for policies and interventions targeting the prevention of suicide has been identified.

    Matched MeSH terms: Cognition
  4. Ong LC, Chandran V, Lim YY, Chen AH, Poh BK
    Singapore Med J, 2010 Mar;51(3):247-52.
    PMID: 20428748
    The aim of this study was to identify factors associated with poor academic achievement during the early school years.
    Matched MeSH terms: Cognition
  5. Thein SS, Hamidon BB, Teh HS, Raymond AA
    Singapore Med J, 2007 May;48(5):396-9.
    PMID: 17453096
    Leukoaraiosis (LA) is a term that defines an abnormal appearance of the subcortical white matter of the brain on neuroimaging. This study was done to evaluate the predictive value of LA in terms of mortality, disability and cognitive decline at three months post-stroke and also to identify the risk factors that are independently associated with LA in a stroke population.
    Matched MeSH terms: Cognition Disorders/etiology
  6. Zubair S, Fisal N
    Sensors (Basel), 2014;14(5):8996-9026.
    PMID: 24854362 DOI: 10.3390/s140508996
    The need for implementing reliable data transfer in resource-constrained cognitive radio ad hoc networks is still an open issue in the research community. Although geographical forwarding schemes are characterized by their low overhead and efficiency in reliable data transfer in traditional wireless sensor network, this potential is still yet to be utilized for viable routing options in resource-constrained cognitive radio ad hoc networks in the presence of lossy links. In this paper, a novel geographical forwarding technique that does not restrict the choice of the next hop to the nodes in the selected route is presented. This is achieved by the creation of virtual clusters based on spectrum correlation from which the next hop choice is made based on link quality. The design maximizes the use of idle listening and receiver contention prioritization for energy efficiency, the avoidance of routing hot spots and stability. The validation result, which closely follows the simulation result, shows that the developed scheme can make more advancement to the sink as against the usual decisions of relevant ad hoc on-demand distance vector route select operations, while ensuring channel quality. Further simulation results have shown the enhanced reliability, lower latency and energy efficiency of the presented scheme.
    Matched MeSH terms: Cognition
  7. Zubair S, Fisal N, Baguda YS, Saleem K
    Sensors (Basel), 2013;13(10):13005-38.
    PMID: 24077319 DOI: 10.3390/s131013005
    Interest in the cognitive radio sensor network (CRSN) paradigm has gradually grown among researchers. This concept seeks to fuse the benefits of dynamic spectrum access into the sensor network, making it a potential player in the next generation (NextGen) network, which is characterized by ubiquity. Notwithstanding its massive potential, little research activity has been dedicated to the network layer. By contrast, we find recent research trends focusing on the physical layer, the link layer and the transport layers. The fact that the cross-layer approach is imperative, due to the resource-constrained nature of CRSNs, can make the design of unique solutions non-trivial in this respect. This paper seeks to explore possible design opportunities with wireless sensor networks (WSNs), cognitive radio ad-hoc networks (CRAHNs) and cross-layer considerations for implementing viable CRSN routing solutions. Additionally, a detailed performance evaluation of WSN routing strategies in a cognitive radio environment is performed to expose research gaps. With this work, we intend to lay a foundation for developing CRSN routing solutions and to establish a basis for future work in this area.
    Matched MeSH terms: Cognition*
  8. Zubair S, Syed Yusoff SK, Fisal N
    Sensors (Basel), 2016;16(2):172.
    PMID: 26840312 DOI: 10.3390/s16020172
    The emergence of the Internet of Things and the proliferation of mobile wireless devices has brought the area of mobile cognitive radio sensor networks (MCRSN) to the research spot light. Notwithstanding the potentials of CRSNs in terms of opportunistic channel usage for bursty traffic, the effect of the mobility of resource-constrained nodes to route stability, mobility-induced spatio-temporal spectral opportunities and primary user (PU) protection still remain open issues that need to be jointly addressed. To this effect, this paper proposes a mobile reliable geographical forwarding routing (MROR) protocol. MROR provides a robust mobile framework for geographical forwarding that is based on a mobility-induced channel availability model. It presents a comprehensive routing strategy that considers PU activity (to take care of routes that have to be built through PU coverage), PU signal protection (by the introduction of a mobility-induced guard (mguard) distance) and the random mobility-induced spatio-temporal spectrum opportunities (for enhancement of throughput). It also addresses the issue of frequent route maintenance that arises when speeds of the mobile nodes are considered as a routing metric. As a result, simulation has shown the ability of MROR to reduce the route failure rate by about 65% as against other schemes. In addition, further results show that MROR can improve both the throughput and goodput at the sink in an energy-efficient manner that is required in CRSNs as against compared works.
    Matched MeSH terms: Cognition
  9. Mustapha I, Mohd Ali B, Rasid MF, Sali A, Mohamad H
    Sensors (Basel), 2015;15(8):19783-818.
    PMID: 26287191 DOI: 10.3390/s150819783
    It is well-known that clustering partitions network into logical groups of nodes in order to achieve energy efficiency and to enhance dynamic channel access in cognitive radio through cooperative sensing. While the topic of energy efficiency has been well investigated in conventional wireless sensor networks, the latter has not been extensively explored. In this paper, we propose a reinforcement learning-based spectrum-aware clustering algorithm that allows a member node to learn the energy and cooperative sensing costs for neighboring clusters to achieve an optimal solution. Each member node selects an optimal cluster that satisfies pairwise constraints, minimizes network energy consumption and enhances channel sensing performance through an exploration technique. We first model the network energy consumption and then determine the optimal number of clusters for the network. The problem of selecting an optimal cluster is formulated as a Markov Decision Process (MDP) in the algorithm and the obtained simulation results show convergence, learning and adaptability of the algorithm to dynamic environment towards achieving an optimal solution. Performance comparisons of our algorithm with the Groupwise Spectrum Aware (GWSA)-based algorithm in terms of Sum of Square Error (SSE), complexity, network energy consumption and probability of detection indicate improved performance from the proposed approach. The results further reveal that an energy savings of 9% and a significant Primary User (PU) detection improvement can be achieved with the proposed approach.
    Matched MeSH terms: Cognition
  10. Al-Mqdashi A, Sali A, Noordin NK, Hashim SJ, Nordin R
    Sensors (Basel), 2018 Dec 10;18(12).
    PMID: 30544684 DOI: 10.3390/s18124360
    Channel rendezvous is an initial and important process for establishing communications between secondary users (SUs) in distributed cognitive radio networks. Due to the drawbacks of the common control channel (CCC) based rendezvous approach, channel hopping (CH) has attracted a lot of research interests for achieving blind rendezvous. To ensure rendezvous within a finite time, most of the existing CH-based rendezvous schemes generate their CH sequences based on the whole global channel set in the network. However, due to the spatial and temporal variations in channel availabilities as well as the limitation of SUs sensing capabilities, the local available channel set (ACS) for each SU is usually a small subset of the global set. Therefore, following these global-based generated CH sequences can result in extensively long time-to-rendezvous (TTR) especially when the number of unavailable channels is large. In this paper, we propose two matrix-based CH rendezvous schemes in which the CH sequences are generated based on the ACSs only. We prove the guaranteed and full diversity rendezvous of the proposed schemes by deriving the theoretical upper bounds of their maximum TTRs. Furthermore, extensive simulation comparisons with other existing works are conducted which illustrate the superior performance of our schemes in terms of the TTR metrics.
    Matched MeSH terms: Cognition
  11. Mas'ud AA, Sundaram A, Ardila-Rey JA, Schurch R, Muhammad-Sukki F, Bani NA
    Sensors (Basel), 2021 Apr 06;21(7).
    PMID: 33917472 DOI: 10.3390/s21072562
    In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understanding and characterization of the phenomenon are needed. They are very damaging and develop through the insulation material forming a discharge conduction path. Therefore, it is important to adequately measure and characterize tree growth before it can lead to complete failure of the system. In this paper, the Gaussian mixture model (GMM) has been applied to cluster and classify the different growth stages of electrical trees in epoxy resin insulation. First, tree growth experiments were conducted, and PD data captured from the initial to breakdown stage of the tree growth in epoxy resin insulation. Second, the GMM was applied to categorize the different electrical tree stages into clusters. The results show that PD dynamics vary with different stress voltages and tree growth stages. The electrical tree patterns with shorter breakdown times had identical clusters throughout the degradation stages. The breakdown time can be a key factor in determining the degradation levels of PD patterns emanating from trees in epoxy resin. This is important in order to determine the severity of electrical treeing degradation, and, therefore, to perform efficient asset management. The novelty of the work presented in this paper is that for the first time the GMM has been applied for electrical tree growth classification and the optimal values for the hyperparameters, i.e., the number of clusters and the appropriate covariance structure, have been determined for the different electrical tree clusters.
    Matched MeSH terms: Cognition
  12. Zareei M, Islam AKMM, Baharun S, Vargas-Rosales C, Azpilicueta L, Mansoor N
    Sensors (Basel), 2017 Sep 16;17(9).
    PMID: 28926952 DOI: 10.3390/s17092136
    New wireless network paradigms will demand higher spectrum use and availability to cope with emerging data-hungry devices. Traditional static spectrum allocation policies cause spectrum scarcity, and new paradigms such as Cognitive Radio (CR) and new protocols and techniques need to be developed in order to have efficient spectrum usage. Medium Access Control (MAC) protocols are accountable for recognizing free spectrum, scheduling available resources and coordinating the coexistence of heterogeneous systems and users. This paper provides an ample review of the state-of-the-art MAC protocols, which mainly focuses on Cognitive Radio Ad Hoc Networks (CRAHN). First, a description of the cognitive radio fundamental functions is presented. Next, MAC protocols are divided into three groups, which are based on their channel access mechanism, namely time-slotted protocol, random access protocol and hybrid protocol. In each group, a detailed and comprehensive explanation of the latest MAC protocols is presented, as well as the pros and cons of each protocol. A discussion on future challenges for CRAHN MAC protocols is included with a comparison of the protocols from a functional perspective.
    Matched MeSH terms: Cognition
  13. Martín DG, Florez SL, González-Briones A, Corchado JM
    Sensors (Basel), 2023 Jan 14;23(2).
    PMID: 36679779 DOI: 10.3390/s23020982
    The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today's devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.
    Matched MeSH terms: Cognition
  14. Jabeen T, Jabeen I, Ashraf H, Ullah A, Jhanjhi NZ, Ghoniem RM, et al.
    Sensors (Basel), 2023 Jul 02;23(13).
    PMID: 37447952 DOI: 10.3390/s23136104
    Programmable Object Interfaces are increasingly intriguing researchers because of their broader applications, especially in the medical field. In a Wireless Body Area Network (WBAN), for example, patients' health can be monitored using clinical nano sensors. Exchanging such sensitive data requires a high level of security and protection against attacks. To that end, the literature is rich with security schemes that include the advanced encryption standard, secure hashing algorithm, and digital signatures that aim to secure the data exchange. However, such schemes elevate the time complexity, rendering the data transmission slower. Cognitive radio technology with a medical body area network system involves communication links between WBAN gateways, server and nano sensors, which renders the entire system vulnerable to security attacks. In this paper, a novel DNA-based encryption technique is proposed to secure medical data sharing between sensing devices and central repositories. It has less computational time throughout authentication, encryption, and decryption. Our analysis of experimental attack scenarios shows that our technique is better than its counterparts.
    Matched MeSH terms: Cognition
  15. Botross NP, Riad AA, Viswanathan S, Nordin RB, Lock HN
    Scott Med J, 2014 May;59(2):e1-6.
    PMID: 24671628 DOI: 10.1177/0036933014529868
    Gaucher's disease is a lysosomal storage disorder caused by the deficiency of glucocerebrosidase. Gaucher's disease has three clinical types: non-neuronopathic (Type 1), Acute Neuropathic (Type 2) and chronic neuronopathic (Type 3). The chronic neuronopathic (Type 3) is characterised by a variety of disease variants with onset in childhood with hepatomegaly, skeletal lesions and later slow horizontal saccades, treatment-resistant generalised tonic-clonic and myoclonic seizures, dementia, progressive spasticity, cognitive deterioration, ataxia and death in the second or third decade of life.
    Matched MeSH terms: Cognition Disorders/enzymology; Cognition Disorders/etiology; Cognition Disorders/physiopathology*
  16. Malek F, Rani KA, Rahim HA, Omar MH
    Sci Rep, 2015;5:13206.
    PMID: 26286015 DOI: 10.1038/srep13206
    Individuals who report their sensitivity to electromagnetic fields often undergo cognitive impairments that they believe are due to the exposure of mobile phone technology. The aim of this study is to clarify whether short-term exposure at 1 V/m to the typical Global System for Mobile Communication and Universal Mobile Telecommunications System (UMTS) affects cognitive performance and physiological parameters (body temperature, blood pressure and heart rate). This study applies counterbalanced randomizing single blind tests to determine if sensitive individuals experience more negative health effects when they are exposed to base station signals compared with sham (control) individuals. The sample size is 200 subjects with 50.0% Idiopathic Environmental Intolerance attributed to electromagnetic fields (IEI-EMF) also known as sensitive and 50.0% (non-IEI-EMF). The computer-administered Cambridge Neuropsychological Test Automated Battery (CANTAB eclipse(TM)) is used to examine cognitive performance. Four tests are chosen to evaluate Cognitive performance in CANTAB: Reaction Time (RTI), Rapid Visual Processing (RVP), Paired Associates Learning (PAL) and Spatial Span (SSP). Paired sample t-test on the other hand, is used to examine the physiological parameters. Generally, in both groups, there is no statistical significant difference between the exposure and sham exposure towards cognitive performance and physiological effects (P's > 0.05).
    Matched MeSH terms: Cognition
  17. Hamdan A, Ab Latip MQ, Abu Hassim H, Mohd Noor MH, Tengku Azizan TRP, Mohamed Mustapha N, et al.
    Sci Rep, 2020 08 24;10(1):14105.
    PMID: 32839483 DOI: 10.1038/s41598-020-71047-1
    Mirror-induced behaviour has been described as a cognitive ability of an animal to self-direct their image in front of the mirror. Most animals when exposed to a mirror responded with a social interactive behaviour such as aggressiveness, exploratory and repetitive behaviour. The objective of this study is to determine the mirror-induced self-directed behaviour on wildlife at the Royal Belum Rainforest, Malaysia. Wildlife species at the Royal Belum Rainforest were identified using a camera traps from pre-determined natural saltlick locations. Acrylic mirrors with steel frame were placed facing the two saltlicks (Sira Batu and Sira Tanah) and the camera traps with motion-detecting infrared sensor were placed at strategically hidden spot. The behavioural data of the animal response to the mirror were analysed using an ethogram procedure. Results showed that barking deer was the species showing the highest interaction in front of the mirror. Elephants displayed self-directed response through inspecting behaviour via usage of their trunk and legs while interacting to the mirror. Interestingly, the Malayan tapir showed startled behaviour during their interaction with the mirror. However, the absence of interactive behaviour of the Malayan tiger signalled a likelihood of a decreased social response behaviour. These results suggested that the ability to self-directed in front of the mirror is most likely related to the new approach to study the neural mechanism and its level of stimulus response in wildlife. In conclusion, research on mirror-induced self-directed behaviour in wildlife will have profound implications in understanding the cognitive ability of wildlife as an effort to enhance the management strategies and conservation.
    Matched MeSH terms: Cognition/physiology; Recognition (Psychology)/physiology
  18. Puttarak P, Dilokthornsakul P, Saokaew S, Dhippayom T, Kongkaew C, Sruamsiri R, et al.
    Sci Rep, 2017 09 06;7(1):10646.
    PMID: 28878245 DOI: 10.1038/s41598-017-09823-9
    Centella asiatica (L.) Urb. has been used as an herbal brain tonic for mental disorders and enhancing memory, but no review of the overall evidence of C. asiatica and cognitive function has been conducted. This study aims to determine the effects of C. asiatica on cognitive function and its related properties. The current systematic review includes five randomized controlled trials (RCTs) conducted to determine the effect of C. asiatica alone and six RCTs conducted to determine the effect of C. asiatica-containing products. Meta-analysis indicated that there are no significant differences in all cognitive function domains of C. asiatica when compared to placebo. However, it could improve mood by increasing alert scores [SMD: 0.71 (95% CI; 0.01 to 1.41); I2 = 30.5%] and decreasing anger scores at 1 hour after treatment [SMD: -0.81 (95%CI; -1.51 to -0.09); I2 = 36.6%]. None of the studies reported adverse effects of C. asiatica. In conclusion, there is not strong evidence to support the use of C. asiatica for cognitive function improvement in each cognitive domain. C. asiatica could improve alertness and relieve anger. However, some limitations should be aware including dose regimen, plant preparation, standardization, and product variation. Future well-designed clinical trials using suitable doses of standardized C. asiatica are still needed.
    Matched MeSH terms: Cognition/drug effects*
  19. Goto N, Kusumasondjaja S, Tjiptono F, Lim SXL, Shee D, Hatano A, et al.
    Sci Rep, 2024 Apr 30;14(1):9921.
    PMID: 38688975 DOI: 10.1038/s41598-024-60534-4
    Belonging to multiple groups is an important feature of our social lives. However, it is largely unknown if it is related to individual differences in cognitive performance. Given that changing self-identities linked to each group requires cognitive operations on knowledge bases associated with each group, the extent to which people belong to multiple groups may be related to individual differences in cognitive performance. Therefore, the main objective of this study was to test if multiple group membership is related to executive function task performance. A socioeconomically diverse sample of 395 individuals in Indonesia participated in this study. Our results show that multiple group membership was positively related to the 3-back working memory performance. However, we also found that this relationship was significant only among participants with high (not median or low) SES. We also observed that Contact diversity was negatively related to working memory performance among participants with low SES. Our results show that the complexity of our social lives is related to individual differences in executive function performance, although this seems to be constrained by SES.
    Matched MeSH terms: Cognition/physiology
  20. Fonseca-Pedrero E, Ortuño-Sierra J, Lucas-Molina B, Debbané M, Chan RCK, Cicero DC, et al.
    Schizophr Res, 2018 07;197:182-191.
    PMID: 29113776 DOI: 10.1016/j.schres.2017.10.043
    The Schizotypal Personality Questionnaire-Brief (SPQ-B) was developed with the aim of examining variations in healthy trait schizotypy, as well as latent vulnerability to psychotic-spectrum disorders. No previous study has studied the cross-cultural validity of the SPQ-B in a large cross-national sample. The main goal of the present study was to analyze the reliability and the internal structure of SPQ-B scores in a multinational sample of 28,426 participants recruited from 14 countries. The mean age was 22.63years (SD=7.08; range 16-68years), 37.7% (n=10,711) were men. The omega coefficients were high, ranging from 0.86 to 0.92 for the total sample. Confirmatory factor analysis revealed that SPQ-B items were grouped either in a theoretical structure of three first-order factors (Cognitive-Perceptual, Interpersonal, and Disorganized) or in a bifactor model (three first-order factors plus a general factor of schizotypal personality). In addition, the results supported configural but not strong measurement invariance of SPQ-B scores across samples. These findings provide new information about the factor structure of schizotypal personality, and support the validity and utility of the SPQ-B, a brief and easy tool for assessing self-reported schizotypal traits, in cross-national research. Theoretical and clinical implications for diagnostic systems, psychosis models, and cross-national mental health strategies are derived from these results.
    Matched MeSH terms: Cognition
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