Póvoa de Santa Iria, Portugal
Póvoa de Santa Iria, Portugal

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Marques D.R.,University of Aveiro | Marques D.R.,Institute for Biomedical Imaging and Life science | Gomes A.A.,University of Coimbra | Gomes A.A.,Cognitive and Behavioral Center for Research and Intervention | And 8 more authors.
Sleep and Biological Rhythms | Year: 2017

Psychophysiological insomnia (PI) is a clinical condition characterized by sleep-related disturbing cognitive activity and biased self-related information processing. This hypothetical cognitive arousal has been hypothesized to be associated with overactivation within different brain areas and networks, especially when individuals are at rest, e.g., in the absence of any attention-demanding task. In this study, we carried out a resting-state fMRI experiment aimed at investigating activity of the different resting-state networks in PI. Our pool of participants was compound of 5 PI patients and 5 sex- and age-matched healthy controls recruited from the community. Participants from both groups also completed a set of self-report measures, including the sleep diary, Insomnia Severity Index (ISI), dysfunctional beliefs and attitudes about sleep (DBAS-30), and the World Health Organization Quality of Life Measure (WHOQOL-Bref). Our results showed that insomnia patients presented altered activation in the default-mode network (DMN), visual and auditory networks, and bilateral fronto-parietal networks. In the DMN, the patients presented a pattern of both decreased (right superior frontal gyrus, left medial frontal gyrus, and right middle temporal gyrus) and increased activation (left superior frontal gyrus, left anterior and posterior cingulate, right precuneus, left cingulate gyrus, and left middle temporal gyrus). Our findings on unbalanced resting-state networks in PI, with special emphasis on the DMN, may lay grounds to better understanding of the cognitive arousal experienced by PI patients and might help to further improve the clinical management of insomnia. © 2017, Japanese Society of Sleep Research.


Carvalho M.J.,Universitary Center | Carvalho M.J.,Institute for Biomedical Imaging and Life science | Abrantes A.M.,Institute for Biomedical Imaging and Life science | Abrantes A.M.,Neurosciences Institute | And 7 more authors.
In Vivo | Year: 2015

The aim of this study was to characterize the hematogeneous spread, in vivo, of breast cancer (BC) cell lines that express hormonal receptors (HR) comparing with triple-negative (TN) BC, particularly considering the lung and liver. Female Balb/c nu nu mice (n=30) were injected with two breast cancer cell lines (MCF7 and HCC1806). Nuclear medicine imaging with Technetium (99mTc)-hydroxymethylene diphosphonate (99mTc-HMDP) and 99mTc-Hexakis 2-methoxy-2-methylpropylisonitrile (MIBI) were performed between the 7th and 8th weeks after injection. The histological metastatic foci were analyzed by morphometric and immunohistochemistry studies regarding estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (ERBB2) and cytokeratin (CK)-5/6. The mean area of lung metastasis in MCF7 cases was significantly higher (p=0.023), although the number of liver foci was higher in the HCC1806 group (p=0.006). Logistic regression revealed a potentiating model for liver metastasis with HCC1806 cells (odds ratio=16; p=0.03). The number and area of lung-metastatic foci were not predictive of liver dissemination. Lung metastasis study showed ER positivity in 57.1% of the MCF7 group, compared to 80% of the HCC1806 group. PR was positive in 42.9% of MCF7 cases and negative in 60% of HCC1806 cases. HR-positive cells developed massive lung metastization. TN cells seem to potentiate liver metastasis. ER, PR, ERBB2 and basal-like CK expression in metastases was not uniformly correlated with that of primary tumor cells.


Marques D.R.,University of Aveiro | Marques D.R.,Institute for Biomedical Imaging and Life science | Gomes A.A.,University of Aveiro | Gomes A.A.,Center for Health Technology and Services Research | And 2 more authors.
Sleep and Biological Rhythms | Year: 2016

In this study, our aim was to explore the relationship between sleep quality/quantity, chronotype, pre-sleep arousal, arousability, stress, coping, neuroticism, extraversion, mood/affect, perceived health and sleep loss due to worry in college students. A total of 713 students (mean age 19.29 ± 1.256 years) completed a set of questionnaires that assessed sleep loss over worry (item from the General Health Questionnaire), other sleep–wake aspects (e.g., habitual sleep duration, sleep needs, sleep depth, subjective sleep quality, sleep latency, night awakenings, daytime sleepiness, sleep flexibility, sleep reactivity to stress), pre-sleep arousal (cognitive/somatic arousal), arousability, coping, neuroticism, extraversion, perceived physical/mental health, academic stress and positive/negative affect. Sleep disturbance due to worry was reported by 40.6 % of female and 19.2 % of male students. It was significantly correlated with perceived health and the majority of sleep–wake variables. Almost all correlations between the psychological traits under study and sleep loss over worry were significant. Results from the stepwise regression analyses, however, showed that only cognitive arousal (β = .353; p < .001), perceived academic stress (β = .129; p < .01), arousability (β = .127; p < .01), worry tendency (β = .153; p < .001), gender (β = .118; p < .01) and perceived physical health (β = −.093; p < .01) were significant predictors of sleep loss over worry. Together, these variables accounted for 40.3 % of the total variance in sleep disturbance due to worry. Our findings suggest that cognitive arousal, academic stress, arousability, tendency to worry, gender and perceived physical health may be important determinants of sleep loss over worry. These results may have important implications for prevention and intervention to improve sleep quality in young adults. © 2016, Japanese Society of Sleep Research.

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