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https://www.readbyqxmd.com/read/28228063/psychiatric-consultation-and-referral-of-persons-who-have-attempted-suicide
#1
Marc Roelands, Reginald Deschepper, Johan Bilsen
BACKGROUND: Persons who have attempted suicide are often admitted to a hospital's emergency department (ED). The risk of them repeating their attempt is lower if they have had access to a psychiatrist in hospital and had been referred to mental health care services. However, the literature suggests this is often lacking. AIMS: To describe perceived barriers to and supportive factors for psychiatric consultation and appropriate referral of suicide attempters in the ED...
February 23, 2017: Crisis
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#2
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227768/measures-of-the-brain-functional-network-that-correlate-with-alzheimer-s-neuropsychological-test-scores-an-fmri-and-graph-analysis-study
#3
Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh
Neural degeneration in Alzheimer's disease (AD) leads to structural topology deformation that in turn changes brain functionality. The main aim of the present study is to find the brain's functional connectivity network (FCN) correlates of Alzheimer's psychological test scores. To this end, the brain's FCN is extracted from the resting state functional magnetic resonance images (rs-fMRI) of healthy controls and patients with AD and represented as a graph. Then, network measures are calculated from the graphs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227759/mining-cross-frequency-coupling-microstates-cfc%C3%AE-states-from-eeg-recordings-during-resting-state-and-mental-arithmetic-tasks
#4
Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos
The functional brain connectivity has been studied by analyzing synchronization between dynamic oscillations of identical frequency or between different frequencies of distinct brain areas. It has been hypothesized that cross-frequency coupling (CFC) between different frequency bands is the carrier mechanism for the coordination of global and local neural processes and hence supports the distributed information processing in the brain. In the present study, we attempt to study the dynamic evolution of CFC at resting-state and during a mental task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227550/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#5
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Ashley Craig, Tuan N Nguyen, Sai Ho Ling, Hung T Nguyen, Yvonne Tran, Ganesh R Naik, Rifai Chai
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227408/structural-brain-network-analysis-in-schizophrenia-using-minimum-spanning-tree
#6
Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Mehdi M Mirbagheri, Mahsa Dolatshahi, Ali Anjomshoa, Farzaneh Rahmani, Fatemeh Amirkhani, Mohammad Hadi Aarabi
Schizophrenia is a mental disorder in which functional and structural brain networks are disrupted. Classical network analysis has been used by many researchers to quantify brain networks and to study the network changes in schizophrenia, but unfortunately metrics used in this classical method highly depend on the networks' density and weight; the comparisons made by this method are biased. The minimum spanning tree (MST) is an alternative method to solve this problem, but its usefulness in studying the schizophrenic brain network has not been examined yet...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#7
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227295/classification-of-obsessive-compulsive-disorder-from-resting-state-fmri
#8
Bhaskar Sen, Gail A Bernstein, Tingting Xu, Bryon A Mueller, Mindy W Schreiner, Kathryn R Cullen, Keshab K Parhi, Bhaskar Sen, Gail A Bernstein, Tingting Xu, Bryon A Mueller, Mindy W Schreiner, Kathryn R Cullen, Keshab K Parhi, Keshab K Parhi, Gail A Bernstein, Tingting Xu, Kathryn R Cullen, Bryon A Mueller, Mindy W Schreiner, Bhaskar Sen
Obssesive-compulsive disorder (OCD) is a serious mental illness that affects the overall quality of the patients' daily lives. Accurate diagnosis of this disorder is a primary step towards effective treatment. Diagnosing OCD is a lengthy procedure that involves interviews, symptom rating scales and behavioral observation as well as the experience of a clinician. Discovering signal processing and network based biomarkers from functional magnetic resonance scans of patients may greatly assist the clinicians in their diagnostic assessments...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226514/single-channel-eeg-based-mental-fatigue-detection-based-on-deep-belief-network
#9
Pinyi Li, Wenhui Jiang, Fei Su, Pinyi Li, Wenhui Jiang, Fei Su, Fei Su, Wenhui Jiang, Pinyi Li
Mental fatigue has a pernicious influence on road and work place safety as well as a negative symptom of many acute and chronic illnesses, since the ability of concentrating, responding and judging quickly decreases during the fatigue or drowsiness stage. Electroencephalography (EEG) has been proven to be a robust physiological indicator of human cognitive state over the last few decades. But most existing EEG-based fatigue detection methods have poor performance in accuracy. This paper proposed a single-channel EEG-based mental fatigue detection method based on Deep Belief Network (DBN)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226436/optimizing-rtms-treatment-of-a-balance-disorder-with-eeg-neural-synchrony-and-functional-connectivity
#10
Guofa Shou, Han Yuan, Diamond Urbano, Yoon-Hee Cha, Lei Ding, Guofa Shou, Han Yuan, Diamond Urbano, Yoon-Hee Cha, Lei Ding, Han Yuan, Yoon-Hee Cha, Diamond Urbano, Lei Ding, Guofa Shou
Repetitive transcranial magnetic stimulation (rTMS) has been increasingly used for its potential treatment effects across diverse mental disorders. However, the treatment effect is elusive and the rate of positive responders is not high, which make it in great demand of optimizing rTMS protocols to improve the treatment effects and the rate. In this regard, neural activity guided optimization has indicated great potential in several neuroimaging studies. In this paper, we present our ongoing work on optimizing rTMS treatment of a balance disorder, i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226017/-evaluation-of-psychosocial-care-centers-structure-in-the-region-of-m%C3%A3-dio-paraopeba-minas-gerais-brazil
#11
Sarah Nascimento Silva, Marina Guimarães Lima
OBJECTIVE: to evaluate the physical facilities, human resources and activities developed in the Psychosocial Care Centers (CAPS) in the region of Médio Paraopeba, Minas Gerais, Brazil, in 2014. METHODS: this is an evaluation study of the dimensions of structure and processes proposed by Donabedian, based on recommendations of the Ministry of Health and current laws; semi-structured forms were used to interview health managers; direct observation of mental health services was performed...
January 2017: Epidemiologia e Servicos de Saude: Revista do Sistema Unico de Saude do Brasil
https://www.readbyqxmd.com/read/28225838/-mental-simulation-in-frontotemporal-dementia
#12
Daniel G Politis, Wanda Y Rubinstein, María E Tabernero
: There is a common network for perception and execution of actions necessary for the acquisition of Theory of Mind, and the mirror neuron system could be the neural substrate. OBJECTIVE: To study the presence of apraxia and their relationship to Theory of Mind in patients with behavioral variant of Frontotemporal Dementia. METHODS: 24 patients were assessed, and the cognitive praxis assessment battery and theory of mind were administered...
May 2016: Vertex: Revista Argentina de Psiquiatriá
https://www.readbyqxmd.com/read/28223812/resting-state-functional-connectivity-changes-within-the-default-mode-network-and-the-salience-network-after-antipsychotic-treatment-in-early-phase-schizophrenia
#13
Yingchan Wang, Weijun Tang, Xiaoduo Fan, Jianye Zhang, Daoying Geng, Kaida Jiang, Dianming Zhu, Zhenhua Song, Zeping Xiao, Dengtang Liu
OBJECTIVE: Abnormal resting-state functional connectivity (FC), particularly in the default mode network (DMN) and the salience network (SN), has been reported in schizophrenia, but little is known about the effects of antipsychotics on these networks. The purpose of this study was to examine the effects of atypical antipsychotics on DMN and SN and the relationship between these effects and symptom improvement in patients with schizophrenia. METHODS: This was a prospective study of 33 patients diagnosed with schizophrenia and treated with antipsychotics at Shanghai Mental Health Center...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28219960/comparison-of-substance-use-subjective-well-being-and-interpersonal-relationships-among-young-people-in-foster-care-and-private-households-a-cross-sectional-analysis-of-the-school-health-research-network-survey-in-wales
#14
Sara Jayne Long, Rhiannon E Evans, Adam Fletcher, Gillian Hewitt, Simon Murphy, Honor Young, Graham F Moore
OBJECTIVE: To investigate the association of living in foster care (FC) with substance use and subjective well-being in a sample of secondary school students (11-16 years) in Wales in 2015/16, and to examine whether these associations are attenuated by the perceived quality of interpersonal relationships. DESIGN: Cross-sectional, population-based health behaviour and lifestyle questionnaire. SETTING AND PARTICIPANTS: Wales, UK; young people who took part in the 2015/16 School Health Research Network (SHRN) questionnaire (n=32 479)...
February 20, 2017: BMJ Open
https://www.readbyqxmd.com/read/28218917/delayed-stabilization-and-individualization-in-connectome-development-are-related-to-psychiatric-disorders
#15
Tobias Kaufmann, Dag Alnæs, Nhat Trung Doan, Christine Lycke Brandt, Ole A Andreassen, Lars T Westlye
The brain functional connectome constitutes a unique fingerprint allowing identification of individuals among a pool of people. Here we establish that the connectome develops into a more stable, individual wiring pattern during adolescence and demonstrate that a delay in this network tuning process is associated with reduced mental health in the formative years of late neurodevelopment.
February 20, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28214564/downregulation-of-gna13-erk-network-in-prefrontal-cortex-of-schizophrenia-brain-identified-by-combined-focused-and-targeted-quantitative-proteomics
#16
Mio Hirayama-Kurogi, Yohei Takizawa, Yasuto Kunii, Junya Matsumoto, Akira Wada, Mizuki Hino, Hiroyasu Akatsu, Yoshio Hashizume, Sakon Yamamoto, Takeshi Kondo, Shingo Ito, Masanori Tachikawa, Shin-Ichi Niwa, Hirooki Yabe, Tetsuya Terasaki, Mitsutoshi Setou, Sumio Ohtsuki
: Schizophrenia is a disabling mental illness associated with dysfunction of the prefrontal cortex, which affects cognition and emotion. The purpose of the present study was to identify altered molecular networks in the prefrontal cortex of schizophrenia patients by comparing protein expression levels in autopsied brains of patients and controls, using a combination of targeted and focused quantitative proteomics. We selected 125 molecules possibly related to schizophrenia for quantification by knowledge-based targeted proteomics...
February 15, 2017: Journal of Proteomics
https://www.readbyqxmd.com/read/28213659/profiles-of-mental-health-care-professionals-based-on-work-role-performance
#17
Marie-Pierre Markon, Jean-Marie Bamvita, François Chiocchio, Marie-Josée Fleury
The worldwide burden of mental disorders is considerable, and on the rise, putting pressure on health care systems. Current reforms aim to improve the efficiency of mental health care systems by increasing service integration in communities and strengthening primary mental health care. In this context, mental health care professionals (MHPs) are increasingly required to work on interdisciplinary teams in a variety of settings. Little is known, however, about the profiles of MHPs in relation to their perceived work role performance...
February 18, 2017: Psychiatric Quarterly
https://www.readbyqxmd.com/read/28213340/demographic-and-indication-specific-characteristics-have-limited-association-with-social-network-engagement-evidence-from-24-954-members-of-four-health-care-support-groups
#18
Trevor van Mierlo, Xinlong Li, Douglas Hyatt, Andrew T Ching
BACKGROUND: Digital health social networks (DHSNs) are widespread, and the consensus is that they contribute to wellness by offering social support and knowledge sharing. The success of a DHSN is based on the number of participants and their consistent creation of externalities through the generation of new content. To promote network growth, it would be helpful to identify characteristics of superusers or actors who create value by generating positive network externalities. OBJECTIVE: The aim of the study was to investigate the feasibility of developing predictive models that identify potential superusers in real time...
February 17, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28210750/mental-disorders-as-networks-some-cautionary-reflections-on-a-promising-approach
#19
EDITORIAL
Marieke Wichers, Johanna T W Wigman, Laura F Bringmann, Peter de Jonge
No abstract text is available yet for this article.
February 16, 2017: Social Psychiatry and Psychiatric Epidemiology
https://www.readbyqxmd.com/read/28209604/birth-size-risk-factors-across-life-and-cognition-in-late-life-protocol-of-prospective-longitudinal-follow-up-of-the-mynah-mysore-studies-of-natal-effects-on-ageing-and-health-cohort
#20
Murali Krishna, G Mohan Kumar, S R Veena, G V Krishnaveni, Kalyanaraman Kumaran, Samuel Christaprasad Karat, Patsy Coakley, Clive Osmond, John R M Copeland, Giriraj Chandak, Dattatray Bhat, Mathew Varghese, Martin Prince, Caroline Fall
INTRODUCTION: For late-life neurocognitive disorders, as for other late-life chronic diseases, much recent interest has focused on the possible relevance of Developmental Origins of Health and Disease (DOHaD). Programming by undernutrition in utero, followed by overnutrition in adult life may lead to an increased risk, possibly mediated through cardiovascular and metabolic pathways. This study will specifically examine, if lower birth weight is associated with poorer cognitive functioning in late life in a south Indian population...
February 16, 2017: BMJ Open
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