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https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#1
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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/28227399/functional-connectivity-analysis-using-whole-brain-and-regional-network-metrics-in-ms-patients
#3
V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, A Droby, S Groppa, F Zipp, V C Chirumamilla, T Anjum, V Fleischer, M Muthuraman
In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters...
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
#4
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/28227395/impaired-episodic-memory-network-in-subjects-at-high-risk-for-alzheimer-s-disease
#5
Yafeng Zhan, Jianhua Ma, Kaibin Xu, Yanhui Ding, Yue Cui, Zhengyi Yang, Yong Liu, Yafeng Zhan, Jianhua Ma, Kaibin Xu, Yanhui Ding, Yue Cui, Zhengyi Yang, Yong Liu, Yanhui Ding, Kaibin Xu, Yue Cui, Yafeng Zhan, Jianhua Ma, Zhengyi Yang, Yong Liu
Episodic memory dysfunction is one of the hallmark symptoms of Alzheimer's disease (AD) and mild cognitive impairment (MCI). This cognitive impairment may be related to abnormal brain structure and activity. Functional connectivity mapping (FCM) analysis provides a powerful tool for exploring the topology of human brain function using magnetic resonance imaging (MRI). Thus, it would be advantageous to investigate the changes in functional connectivity within the episodic memory network in a longitudinal MCI dataset, as it may be helpful in identifying a potential marker of disease progress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227248/the-precuneus-may-encode-irrationality-in-human-gambling
#6
P Sacre, M S D Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, M A Johnson, S V Sarma, J T Gale, P Sacre, M S D Kerr, S Subramanian, K Kahn, J Gonzalez-Martinez, M A Johnson, S V Sarma, J T Gale, S Subramanian, M S D Kerr, M A Johnson, J T Gale, K Kahn, P Sacre, S V Sarma, J Gonzalez-Martinez
Humans often make irrational decisions, especially psychiatric patients who have dysfunctional cognitive and emotional circuitry. Understanding the neural basis of decision-making is therefore essential towards patient management, yet current studies suffer from several limitations. Functional magnetic resonance imaging (fMRI) studies in humans have dominated decision-making neuroscience, but have poor temporal resolution and the blood oxygenation level-dependent signal is only a proxy for neural activity. On the other hand, lesion studies in humans used to infer functionality in decision-making lack characterization of neural activity altogether...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226985/the-letter-and-shape-drawing-lsd-test-an-efficient-and-systematised-approach-to-testing-of-visuospatial-function
#7
Michael Tenorio, Olugbenga A Williams, Maeve Leonard, Debbie White, Frank McKenna, Colum P Dunne, David Meagher, Chris Exton, Michael Tenorio, Olugbenga A Williams, Maeve Leonard, Debbie White, Frank McKenna, Colum P Dunne, David Meagher, Chris Exton, Debbie White, Olugbenga A Williams, Colum P Dunne, David Meagher, Michael Tenorio, Frank McKenna, Chris Exton, Maeve Leonard
The automation and systemisation of the next generation of cognitive assessment approaches have the potential to change how clinicians assess and interact with patients. This may be especially pertinent in the case of delirium, as current methods often rely on the subjective opinion of clinicians and specialists, with potential for the condition to be overlooked or misdiagnosed. Currently, one of the most commonly used tests, is the clock-drawing test, which has relatively wide appeal as a cognitive screening instrument due to its clinical utility and psychometric properties...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226870/effect-of-vagus-nerve-stimulation-on-neural-adaptation-in-thalamo-cortical-system-in-rats
#8
Tomoyo I Shiramatsu, Rie Hitsuyu, Kenji Ibayashi, Ryohei Kanzaki, Kensuke Kawai, Hirokazu Takahashi, Tomoyo I Shiramatsu, Rie Hitsuyu, Kenji Ibayashi, Ryohei Kanzaki, Kensuke Kawai, Hirokazu Takahashi, Kenji Ibayashi, Kensuke Kawai, Ryohei Kanzaki, Hirokazu Takahashi, Tomoyo I Shiramatsu, Rie Hitsuyu
Vagus nerve stimulation (VNS) is a therapy on medically refractory epilepsy, and recently reported to improve cognitive function including learning and memory. The thalamo-cortical system may underlie such VNS-induced cognitive improvements. Thus, the present study targeted the auditory cortex and thalamus in rats, and investigated whether and how VNS modulates stimulus-specific adaptation (SSA) of the neural activity in these nuclei. A depth electrode array recorded auditory evoked potentials from the auditory thalamus and cortex under an oddball paradigm either with or without VNS...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226841/mentor-s-brain-functional-connectivity-network-during-robotic-assisted-surgery-mentorship
#9
Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru, Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru, Somayeh B Shafiei, Khurshid A Guru, Scott T Doyle
In many complicated cognitive-motor tasks mentoring is inevitable during the learning process. Although mentors are expert in doing the task, trainee's operation might be new for a mentor. This makes mentoring a very difficult task which demands not only the knowledge and experience of a mentor, but also his/her ability to follow trainee's movements and patiently advise him/her during the operation. We hypothesize that information binding throughout the mentor's brain areas, contributed to the task, changes as the expertise level of the trainee improves from novice to intermediate and expert...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226811/day-to-day-variability-in-hybrid-passive-brain-computer-interfaces-comparing-two-studies-assessing-cognitive-workload
#10
Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Samantha L Klosterman, Justin R Estepp, Jason W Monnin, James C Christensen, Jason W Monnin, Samantha L Klosterman, Justin R Estepp, James C Christensen
As hybrid, passive brain-computer interface systems become more advanced, it is important to grow our understanding of how to produce generalizable pattern classifiers of physiological data. One of the most difficult problems in applying machine learning algorithms to these data types is nonstationarity, which can evolve over the course of hours and days, and is more susceptible to changes resulting from complex cognitive function in comparison to simple, stimulus-based processes. This nonstationarity, referenced as day-to-day variability, results in the inability of many learning algorithms to generalize to new data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226697/differences-in-white-matter-microstructure-between-parkinson-s-disease-patients-with-and-without-rem-sleep-behavior-disorder
#11
Farzaneh Rahmani, Mina Ansari, Atefeh Pooyan, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Farzaneh Rahmani, Mina Ansari, Atefeh Pooyan, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Mehdi M Mirbagheri, Farzaneh Rahmani, Atefeh Pooyan, Mina Ansari, Mohammad Hadi Aarabi
REM sleep behavior disorder (RBD) is characterized by increased muscle tone and violent limb movements and usually occurs during the early stages of Parkinson disease (PD). PD patients with RBD represent faster motor progression and cognitive dysfunction. We used diffusion imaging to assess which regions are involved in this phenomenon. In the current study, we computed Quantitative Anisotropic (QA), which is based on spin distribution function (SDF) that quantifies the density of diffusing water and is more sensitive to psychological differences between groups and also diffusion MRI connectometry to conduct group analysis between age and gender matched PD patients with and without RBD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226672/phase-amplitude-coupling-analysis-for-seizure-evolvement-using-hilbert-huang-transform
#12
Hanyue Zhou, Ying Li, Yue-Loong Hsin, Wentai Liu, Hanyue Zhou, Ying Li, Yue-Loong Hsin, Wentai Liu, Wentai Liu, Hanyue Zhou, Ying Li, Yue-Loong Hsin
Recent studies show that the phase-amplitude coupling (PAC) may play a functional role in information processing and cognition. The conventional method for PAC analysis is implemented by using Fourier-based filters, which assumes the signal is stationary and linear. However, as biological signals are nonstationary and nonlinear, this method introduces inaccuracy. To solve this problem, a new method based on Hilbert Huang Transform (HHT) is proposed in this paper, and is applied to analyze intracranial signals from two epilepsy patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226596/quantification-of-neural-functional-connectivity-during-an-active-avoidance-task
#13
Catia S Silva, Mehrnaz K Hazrati, Andreas Keil, Jose C Principe, Catia S Silva, Mehrnaz K Hazrati, Andreas Keil, Jose C Principe, Andreas Keil, Jose C Principe, Mehrnaz K Hazrati, Catia S Silva
Many behavioral and cognitive processes are associated with spatiotemporal dynamic communication between brain areas. Thus, the quantification of functional connectivity with high temporal resolution is highly desirable for capturing in vivo brain function. However, brain functional network quantification from EEG recordings has been commonly used in a qualitative manner. In this paper, we consider pairwise dependence measures as random variables and estimate the pdf for each electrode of the arrangement. A metric imposed by the quadratic Cauchy-Schwartz Mutual Information quantifies these pdfs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226055/functional-health-literacy-and-knowledge-of-renal-patients-on-pre-dialytic-treatment
#14
Katarinne Lima Moraes, Virginia Visconde Brasil, Gabriela Ferreira de Oliveira, Jacqueline Andréia Bernardes Leão Cordeiro, Antonio Márcio Teodoro Cordeiro Silva, Rafaela Peres Boaventura, Denize Bouttelet Munari, Mônica Ribeiro Canhestro
Objective: to analyze the functional health literacy (FHL), i.e., understanding and knowledge about chronic renal disease of 60 patients in pre-dialytic treatment. Method: this is a cross-sectional study. FHL was measured by B-TOFHLA; and the knowledge, by questionnaire. Pearson correlation and Chi-square tests were carried out as well as linear regression models. Results: all respondents presented inadequate FHL, and most showed insufficient knowledge about the disease and treatment...
January 2017: Revista Brasileira de Enfermagem
https://www.readbyqxmd.com/read/28225843/-poverty-and-mental-disability-in-the-criminal-law-the-invisibles
#15
Ezequiel N Mercurio
In recent decades neuroscience research show the negative consequences of poverty in cognitive development. Environmental factors, such as material deprivation, exposure to stressful situations, violence, nutritional deprivation, environmental toxins may shape the developing brain. The changes of the structure and function of the brain since prenatal stages and their consequences can remain stable throughout the life cycle except early interventions are made. Research investigating have found significant link between child poverty and function and structural brain focusing on prefrontal cortex (i...
May 2016: Vertex: Revista Argentina de Psiquiatriá
https://www.readbyqxmd.com/read/28225838/-mental-simulation-in-frontotemporal-dementia
#16
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/28225792/the-adamts9-gene-is-associated-with-cognitive-aging-in-the-elderly-in-a-taiwanese-population
#17
Eugene Lin, Shih-Jen Tsai, Po-Hsiu Kuo, Yu-Li Liu, Albert C Yang, Chung-Feng Kao, Cheng-Hung Yang
Evidence indicates that the pathophysiologic mechanisms associated with insulin resistance may contribute to cognitive aging and Alzheimer's diseases. In this study, we hypothesize that single nucleotide polymorphisms (SNPs) within insulin resistance-associated genes, such as the ADAM metallopeptidase with thrombospondin type 1 motif 9 (ADAMTS9), glucokinase regulator (GCKR), and peroxisome proliferator activated receptor gamma (PPARG) genes, may be linked with cognitive aging independently and/or through complex interactions in an older Taiwanese population...
2017: PloS One
https://www.readbyqxmd.com/read/28225507/high-hemoglobin-a1c-and-diabetes-predict-memory-decline-in-the-health-and-retirement-study
#18
Jessica R Marden, Elizabeth R Mayeda, Eric J Tchetgen Tchetgen, Ichiro Kawachi, M Maria Glymour
BACKGROUND: Type 2 diabetes (T2D) is an established risk factor for dementia, but evidence for T2D and memory decline is less consistent. Understanding how T2D and blood glucose relate to memory decline is crucial to elucidating the mechanisms linking T2D and dementia. MATERIALS AND METHODS: For 8888 Health and Retirement Study participants aged 50+, glycosylated hemoglobin (HbA1c) was measured in either 2006 or 2008 and physician's diagnosis of diabetes was self-reported in the same year...
January 2017: Alzheimer Disease and Associated Disorders
https://www.readbyqxmd.com/read/28225493/acetylcholinesterase-inhibitor-treatment-alleviated-cognitive-impairment-caused-by-delayed-encephalopathy-due-to-carbon-monoxide-poisoning-two-case-reports-and-a-review-of-the-literature
#19
Kumi Yanagiha, Kazuhiro Ishii, Akira Tamaoka
INTRODUCTION: Delayed encephalopathy due to carbon monoxide (CO) poisoning can even occur in patients with mild symptoms of acute CO poisoning. Some cases taking conventional hyperbaric oxygen (HBO) therapy or steroid-pulse therapy may be insufficient, and AchEI may be effective. PATIENT CONCERNS AND DIAGNOSES: We report two cases of delayed encephalopathy after acute CO poisoning involving two women aged 69 (Case 1) and 60 years (Case 2) whose cognitive function improved with acetylcholinesterase inhibitor (AchEI) treatment...
February 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28225481/the-dysfunction-of-inhibition-control-in-pituitary-patients-evidence-from-the-go-nogo-event-related-potential-study
#20
Chenglong Cao, Jian Song, Shun Yao, Yan Yan, Shun Li, Guibao Peng, Pan Ma, Hao Du, Cheng Huang, Huichao Ding, Yuanzhi He, Ronghui Sun, Guozheng Xu
Pituitary tumor is an intracranial tumor; because of the development of neuroimaging technology in recent years, morbidity is likely to increase. Evidence showed impaired cognitive ability of patients with pituitary adenoma. There is evidence that neurobehavioral disorders are common in pituitary adenoma patients. This disorder is because of the cognitive and emotional function of the important functional areas of the brain oppressed and hormone imbalance. Individuals' mental activity is controlled by the brain and the abnormal mental activity is caused by both the structural abnormalities of the brain and neurochemical dysfunction...
February 20, 2017: Neuroreport
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