Most of the resting-state functional magnetic resonance imaging (fMRI) studies demonstrated the correlations between spatially distinct brain areas from the perspective of functional connectivity or functional integration. The functional connectivity approaches do not directly provide information of the amplitude of brain activity of each brain region within a network. Alternatively, an index named amplitude of low-frequency fluctuation (ALFF) of the resting-state fMRI signal has been suggested to reflect the intensity of regional spontaneous brain activity. However, it has been indicated that the ALFF is also sensitive to the physiological noise. The current study proposed a fractional ALFF (fALFF) approach, i.e., the ratio of power spectrum of low-frequency (0.01-0.08 Hz) to that of the entire frequency range and this approach was tested in two groups of resting-state fMRI data. The results showed that the brain areas within the default mode network including posterior cingulate cortex, ...
TY - JOUR. T1 - Clinical pain and functional network topology in Parkinsons disease. T2 - a resting-state fMRI study. AU - Engels, Gwenda. AU - McCoy, Brónagh. AU - Vlaar, Annemarie. AU - Theeuwes, Jan. AU - Weinstein, Henry. AU - Scherder, Erik. AU - Douw, Linda. PY - 2018/10. Y1 - 2018/10. N2 - Pain is an important non-motor symptom in Parkinsons disease (PD), but its underlying pathophysiological mechanisms are still unclear. Research has shown that functional connectivity during the resting-state may be involved in persistent pain in PD. In the present cross-sectional study, 24 PD patients (both during on and off medication phase) and 27 controls participated. We assessed pain with the colored analogue scale and the McGill pain questionnaire. We examined a possible pathophysiological mechanism with resting-state fMRI using functional network topology, i.e., the architecture of functional connections. We took betweenness centrality (BC) to assess hubness, and global efficiency (GE) to ...
Neuroimaging studies have documented that ageing can disrupt certain higher cognitive systems such as the default mode network (DMN), the salience network (SN) and the central executive network (CEN). The effect of cognitive training on higher cognitive systems remains unclear. This study used a one-year longitudinal design to explore the cognitive training effect on three higher cognitive networks in healthy older adults. The community-living healthy older adults were divided into two groups: the multi-domain cognitive training group (24 sessions of cognitive training over a three-month period) and the wait-list control group. All subjects underwent cognitive measurements and resting-state functional magnetic resonance imaging (fMRI) scanning at baseline and at one year after the training ended. We examined training-related changes in functional connectivity (FC) within and between three networks. Compared with the baseline, we observed maintained or increased FC within all three networks after
Deep neural networks have recently been applied to the study of brain disorders such as autism spectrum disorder (ASD) with great success. However, the internal logics of these networks are difficult to interpret, especially with regard to how specific network architecture decisions are made. In this paper, we study an interpretable neural network model as a method to identify ASD participants from functional magnetic resonance imaging (fMRI) data and interpret results of the model in a precise and consistent manner. First, we propose an interpretable fully connected neural network (FCNN) to classify two groups, ASD versus healthy controls (HC), based on input data from resting-state functional connectivity (rsFC) between regions of interests (ROIs). The proposed FCNN model is a piecewise linear neural network (PLNN) which uses piecewise linear function LeakyReLU as its activation function. We experimentally compared the FCNN model against widely used classification models including support vector
In this study, we investigated changes in resting state networks (RSNs) in patients with gliomas located in the left hemisphere and its relation to cognitive function. We hypothesized that long distance connection, especially between hemispheres, would be affected by the presence of the tumor. We further hypothesized that these changes would correlate with, or reflect cognitive changes observed in patients with gliomas. Resting state functional MRI datasets from 12 patients and 12 healthy controls were used in the analysis. The tumors effect on three well-known RSNs including the default mode network (DMN), executive control network (ECN), and salience network (SN) identified using independent component analysis were investigated using dual regression analysis. Scores of neuropsychometric testing (WAIS-III and WMS-R) were also compared. Compared to the healthy control group, the patient group showed significant decrease in functional connectivity in the right angular gyrus/inferior parietal lobe of the
Functional magnetic resonance imaging (fMRI) studies of the human brain have suggested that low-frequency fluctuations in resting fMRI data collected using blood oxygen level dependent (BOLD) contrast correspond to functionally relevant resting state networks (RSNs). Whether the fluctuations of resting fMRI signal in RSNs are a direct consequence of neocortical neuronal activity or are low-frequency artifacts due to other physiological processes (e.g., autonomically driven fluctuations in cerebral blood flow) is uncertain. In order to investigate further these fluctuations, we have characterized their spatial and temporal properties using probabilistic independent component analysis (PICA), a robust approach to RSN identification. Here, we provide evidence that: i. RSNs are not caused by signal artifacts due to low sampling rate (aliasing); ii. they are localized primarily to the cerebral cortex; iii. similar RSNs also can be identified in perfusion fMRI data; and iv. at least 5 distinct RSN patterns
Alzheimers disease (AD) is the most common cause of dementia. Previous studies have found disrupted resting state functional connectivities (rsFCs) in various brain networks in the AD patients. However, few studies have focused on the rsFCs of the cerebellum and its sub-regions in the AD patients. In this study, we collected resting-state functional magnetic resonance imaging (rs-fMRI) data including 32 AD patients and 38 healthy controls. We selected two cognitive-related subregions of the cerebellum as seed region and mapped the whole-brain rsFCs for each subregion. We identified several distinct rsFC patterns of the two cognitive-related cerebellar subregions: default-mode network (DMN), frontoparietal network (FPN), visual network (VN) and sensorimotor network (SMN). Compared with the controls, the AD patients showed disrupted rsFCs in several different networks (DMN, VN and SMN), predicting the impairment of the functional integration in the cerebellum. Notably, these abnormal rsFCs of the two
Author: Holiga, Štefan et al.; Genre: Talk; Open Access; Title: Involvement of cerebellum in the dopaminergic treatment of Parkinsons disease: A resting-state fMRI study
Resting state fMRI (rsfMRI or R-fMRI) is a method of functional brain imaging that can be used to evaluate regional interactions that occur when a subject is not performing an explicit task. This resting brain activity is observed through changes in blood flow in the brain which creates what is referred to as a blood-oxygen-level dependent (BOLD) signal that can be measured using functional magnetic resonance imaging (fMRI). Because brain activity is present even in the absence of an externally prompted task, any brain region will have spontaneous fluctuations in BOLD signal. The resting state approach is useful to explore the brains functional organization and to examine if it is altered in neurological or psychiatric diseases. Resting-state functional connectivity research has revealed a number of networks which are consistently found in healthy subjects, different stages of consciousness and across species, and represent specific patterns of synchronous activity. Functional magnetic ...
For older adults with type 2 diabetes, a single dose of intranasal insulin increases resting-state brain functional connectivity.
杭州师范大学静息态功能磁共振影像免费培训(第四期). 2019年04月14日(周日) 13:00-17:00. 主办单位:. 杭州师范大学心理科学研究院. 杭州师范大学附属医院认知与脑疾病研究中心. 浙江省认知障碍评估技术研究重点实验室. 承办单位:. 杭州拾睿科技有限公司. 为了加强社会服务,杭州师范大学拟针对静息态功能磁共振影像研究者开展免费培训服务,暂定每月一次。. 第四期讲座的题目为Resting-state fMRI and "state" fMRI Design: data analysis and application,时间定于2019年04月14日13:00-17:00。本次讲座主要面向心理学领域从事静息态功能磁共振影像或拟采用state任务fMRI设计的研究者,通过QQ网络的方式进行。感兴趣的朋友请填写附件中的报名表格,并发送邮件至贾熙泽([email protected])。. 讲者及简介:. 1. 题目:Resting-state fMRI and "state" fMRI ...
Author: Mueller, Karsten et al.; Genre: Journal Article; Published in Print: 2016-02; Keywords: Brain-derived neurotrophic factor (BDNF); Brain connectivity; Motor cortex; Eigenvector centrality (EC); Functional magnetic resonance imaging (fMRI); Resting-state fMRI; Title: Serum BDNF correlates with connectivity in the (pre)motor hub in the aging human brain: A resting-state fMRI pilot study
BACKGROUND: We have previously shown that increased resting-state functional magnetic resonance imaging (fMRI)-based functional connectivity (FC) within the frontal resting-state networks in Alzheimers disease (AD) patients reflects residual, possibly compensatory, function. This suggests that symptomatic treatments should aim to enhance FC specifically in these networks. METHODS: 18 patients with probable AD underwent brain MRI and neuropsychological assessment at baseline and after 12 weeks of treatment with donepezil. We tested if changes in cognitive performance after treatment correlated with changes in FC in resting-state networks known to be altered in AD. RESULTS: We found increases in FC in the orbitofrontal network that correlated with cognitive improvement after treatment. The increased FC was greatest in patients who responded most to treatment. CONCLUSION: This proof of concept study suggests that changes in network-specific FC might be a biomarker of pharmacological intervention
New techniques to investigate functional network connectivity in resting state functional magnetic resonance imaging data have recently emerged. One novel approach, called meta-state analysis, goes beyond the mere cross-correlation of time courses of distinct brain areas and explores temporal dynami …
The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis of positive and negative life outcomes and psychological function. These results suggest that the global signal contains a rich source of information related to trait-level cognition and behavior. This work has
BACKGROUND: Bipolar disorder (BD) has been associated with dysfunctional resting-state brain functioning. However, it is still not known whether the aberrant functioning occurs and predict cognitive functioning before illness onset. AIMS: We examined the resting-state regional and network dysfunctioning, and their correlates with neurocognitive performance, in the high-risk (HR) and ultra-high-risk (UHR) stages of bipolar disorder. METHODS: Using amplitude of low-frequency fluctuations (ALFF), region homogeneity (ReHo) and hypothesis-driven region-of-interest (ROI)-based connectivity, we examined resting-state fMRI data of 8- to 25-year-old healthy offspring (HR, n = 28) and offspring with subthreshold syndromes (UHR, n = 22) of a BD parent, and age-matched healthy controls without any personal or family psychopathology (HC, n = 46 ...
BACKGROUND: Bipolar disorder (BD) has been associated with dysfunctional resting-state brain functioning. However, it is still not known whether the aberrant functioning occurs and predict cognitive functioning before illness onset. AIMS: We examined the resting-state regional and network dysfunctioning, and their correlates with neurocognitive performance, in the high-risk (HR) and ultra-high-risk (UHR) stages of bipolar disorder. METHODS: Using amplitude of low-frequency fluctuations (ALFF), region homogeneity (ReHo) and hypothesis-driven region-of-interest (ROI)-based connectivity, we examined resting-state fMRI data of 8- to 25-year-old healthy offspring (HR, n = 28) and offspring with subthreshold syndromes (UHR, n = 22) of a BD parent, and age-matched healthy controls without any personal or family psychopathology (HC, n = 46 ...
The number of resting state functional connectivity MRI studies continues to expand at a rapid rate along with the options for data processing. Of the ...
MATERIALS AND METHODS: We identified 26 surgically na,fkve patients referred for presurgical fMRI brain mapping who had undergone both satisfactory ventral motor activation tasks and resting-state fMRI. Following standard preprocessing for task-based fMRI and resting-state fMRI, general linear model analysis of the ventral motor tasks and independent component analysis of resting-state fMRI were performed with the number of components set to 20, 30, 40, and 50. Visual overlap of task-based fMRI and resting-state fMRI at different component levels was assessed and categorized as full match, partial match, or no match. Rest-versus-task-fMRI concordance was calculated with Dice coefficients across varying fMRI thresholds before and after noise removal. Multithresholded Dice coefficient volume under the surface was calculated. ...
A paper in the journal Heliyon titled: Imbalance in resting state functional connectivity is associated with eating behaviors and adiposity in children. The authors write: We hypothesized that unhealthy eating habits and adiposity among children are associated with functional connectivity between brain regions associated with impulsivity, response inhibition, and reward. You can find a good summary…
Six Jericho seniors were named Intel semifinalists on Wednesday, January 6, the highest amount from any Long Island school. A total of 300 students nationally were named semi-finalists.. The following students are the semifinalists, listed with the title of their project: Michael Carrion: Identification of Toll-like Receptor 4 as a Novel Biomarker in Type 1 Diabetes Pathogenesis. Jessica Huang: Redefining the Neurological Basis of Fluid Intelligence: Investigating Network Strength and Normalized Degree of Resting State Functional Connectivity. Uma Kanth: HIV Utilizes the SNAI1 Repressor Complex to Downregulate P-Cadherin: Implications for HIV Associated Nephropathy. Hyein Kim: Examining the Role of a Novel TSHR Variant, TSHRv1.3, and Elucidating the Signaling Pathways of the TSHR. Brian Oh: Reconciling the Process-based Projection Method with the Semi-empirical Method for Accurate Future Projections of Sea Level Change. Rishi Shah: ollagen Microfiber Scaffolding for Nerve Repair ...
Six Jericho seniors were named Intel semifinalists on Wednesday, January 6, the highest amount from any Long Island school. A total of 300 students nationally were named semi-finalists.. The following students are the semifinalists, listed with the title of their project: Michael Carrion: Identification of Toll-like Receptor 4 as a Novel Biomarker in Type 1 Diabetes Pathogenesis. Jessica Huang: Redefining the Neurological Basis of Fluid Intelligence: Investigating Network Strength and Normalized Degree of Resting State Functional Connectivity. Uma Kanth: HIV Utilizes the SNAI1 Repressor Complex to Downregulate P-Cadherin: Implications for HIV Associated Nephropathy. Hyein Kim: Examining the Role of a Novel TSHR Variant, TSHRv1.3, and Elucidating the Signaling Pathways of the TSHR. Brian Oh: Reconciling the Process-based Projection Method with the Semi-empirical Method for Accurate Future Projections of Sea Level Change. Rishi Shah: ollagen Microfiber Scaffolding for Nerve Repair ...
TY - JOUR. T1 - Spontaneous activity in default-mode network predicts ascription of self-relatedness to stimuli. AU - Qin, Pengmin. AU - Grimm, Simone. AU - Duncan, Niall-William. AU - Fan, Yan. AU - Huang, Zirui. AU - Lane, Timothy Joseph. AU - Weng, Xuchu. AU - Bajbouj, M.. AU - Northoff, Georg. N1 - Export Date: 10 May 2016. PY - 2016. Y1 - 2016. N2 - Spontaneous activity levels prior to stimulus presentation can determine how that stimulus will be perceived. It has also been proposed that such spontaneous activity, particularly in the default-mode network (DMN), is involved in self-related processing. We therefore hypothesised that pre-stimulus activity levels in the DMN predict whether a stimulus is judged as self-related or not. Participants were presented in the MRI scanner with a white noise stimulus that they were instructed contained their name or another. They then had to respond with which name they thought they heard. Regions where there was an activity level difference between self ...
The default-mode network (DMN), which comprises medial frontal, temporal and parietal regions, is part of the brains intrinsic organization. The serotonergic (5-HT) neurotransmitter system projects to DMN regions from midbrain efferents, and manipulation of this system could thus reveal insights in …
|p|1. Aghdam MA, Sharifi A, Pedram MM. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance (...)|/p|
|p|1. Aghdam MA, Sharifi A, Pedram MM. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance (...)|/p|
signs of active/intense (it is aguda in Spanish and I dont know how to translate it)) denervation in the digital common right extender muscle.It is also obseved spontaneous activity at rest in the form of positives and fibrillations in the same muscle.... The rest of the parameters are normal ...
Understanding the electrophysiological basis of resting state networks (RSNs) in the human brain is a critical step towards elucidating how inter-areal connectivity supports healthy brain function. In recent years, the relationship between RSNs (typically measured using haemodynamic signals) and electrophysiology has been explored using ...
Understanding the electrophysiological basis of resting state networks (RSNs) in the human brain is a critical step towards elucidating how inter-areal connectivity supports healthy brain function. In recent years, the relationship between RSNs (typically measured using haemodynamic signals) and electrophysiology has been explored using ...
Background: the default mode interference hypothesis (Sonuga-Barke. &. Castellanos, 2007) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g.. 05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e. S3 network; Helps et al. 2008). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was ...
... Date: August 27 2010 9:52pm Subject: bzr commit into mysql-trunk-bugfixing branch (marc.alff:3246) List-Archive: http://lists.mysql.com/commits/117057 Message-Id ...
Seated Row: one minute of work (e.g. 10 reps) with 45s of rest. So now I have four minimum 15s of rest between squats (45s rest + push ups + 45s rest + row +45s of rest). I can definitely go heavier with my legs having that much longer of a rest. If I do three sets of each it takes me 15 minutes and 45 seconds.. But Im now getting NINE sets done in that time or one set in 1 minimum and 45 seconds. Ive increased my practical rest time, but Ive also increased my work density. So I can go heavier AND get more work done in the same time when compared to the original program. And just a reminder - were talking about fat loss training here - Im not talking about optimal hypertrophy or strength routines.. CRAIG BALLANTYNE: You talk about the "Afterburn" being a massive metabolic disturbance (aka - what I call "turbulence") being applied to the muscle. Can you explain why this metabolic disturbance matter and simply, what it is?. ALWYN COSGROVE: Quite simply if you work out every day for an hour - ...
After muscle building workout sessions, be sure to rest well. Many people fail to do this after their workouts, which can be detrimental to their building larger muscle mass. It is when you are resting that your body grows and repairs itself. If you fail to rest after muscle building workouts, or you cut the rest period short, this over training can prevent your body from becoming larger. It is important to refrain from cutting back on rest periods that your body needs, as you can see ...
After muscle building workout sessions, be sure to rest well. Many people fail to do this after their workouts, which can be detrimental to their building larger muscle mass. It is when you are resting that your body grows and repairs itself. If you fail to rest after muscle building workouts, or you cut the rest period short, this over training can prevent your body from becoming larger. It is important to refrain from cutting back on rest periods that your body needs, as you can see ...
Yes, they were a superset. I was running out of time and wanted to get those in, as well as, my hill sprints, so I just threw them together. The rest interval was just long enough to change the weights. I like doing it this way anyways. As an added bonus, you get a little lactate threshold training which is good for strongman anyways ...
Rest and recovery consists of a lot more than just not working out. There are better ways to rest and there are recovery tools you need to be implementing. These are the seven things I recommend.
In our last post, we talked about pure REST and HATEOAS. In this post, well propose some ideas to initiate the creation of a new API design model based on pragmatic REST. We need to create an intellectual framework for API design that captures the spirit of how most popular web APIs are designed today.
Striving for the Creation of Attractive Rest Areas and the Provision of High-quality Services, to Enable our Customers to Enjoy Reliable and Comfortable Rest
If youre like most people, youre already tracking exercises, reps and weight. But youre likely neglecting a huge part of your fat-loss program: rest periods. (You know, those breaks youre supposed to take between sets during your workout?
Nálunk amúgy most is hosszú hétvége lenne, ha csinálnék magamnak, mert holnap megint állami ünnep, de pénteken sok a munkám... Ma végre randizom egy rég nem látott osztálytársnőmmel és barátnőmmel. Egy városban élünk már kb. 1 éve, és csak most találkozunk először... Már alig várom:) ...
한국 최고의 가격 Source Naturals 밤 나머지 100 탭 부터 eVitamins.com. 알다 Night Rest 리뷰, 부작용, 쿠폰 및 eVitamins에서 더. 한국에 빠르고 신뢰할 수있는 운송. Night Rest 다른 제품으로 Source Naturals 당신의 건강 요구에.
Note that I merged this to the 4.7 branch without the string change as none of the other string changes from the mentioned tickets have made it into this release. Better to keep it that way, given that we now release much earlier than originally planned ...
This bullshyt was sitting in my inbox this morning. I am officially taking the rest of the summer off! Yep people..thats it for me! WOMD I wanna fight you for sending me this shyt!
Do you need a little tune-up? De-stress. Brighten your days and rest better in your nights. Here are brief but interesting ways to help make that happen.
Snoring affects a lot of families. This may result in problems between you and your partner. Having a good night is very important. Its where you get your rest
They are devilish, cold, hard and cynical. Women hate them, envy them and imitate them in vain. They have hearts of stone. They are whole, strong, untouchable and unforgettable. They are called the Dominatrixes. ...
Menstural Problems: It is important that you give the body a much-deserved break when it needs to rest after workouts. Even though there are endless benefits of exercising, too much of it can be harmful.
I use OLEDB to connect and read the values from the Excel. If you see on the 1st Column has 4 Values are given and rest are empty.. So I need the empt...
The thirteenth, and final episode of the fifth series of Doctor Who, "Big Bang", doesnt really make much of one, …Read the Rest ...
Make this the year when you take time to nourish yourself and prepare delicious lunches that will help you feel recharged for the rest of the day