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resting-state functional magnetic resonance imaging

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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/28227770/randomness-in-resting-state-functional-connectivity-matrices
#2
Victor M Vergara, Vince Calhoun, Victor M Vergara, Vince Calhoun, Vince Calhoun, Victor M Vergara
Separate brain regions exhibit synchronous intrinsic activity used to assess connectivity patterns known to appear among brain areas. Connectivity is evaluated from functional magnetic resonance imaging (fMRI) measuring the blood oxygen level dependent signal (BOLD) signal. Extensive research has revealed a distinctive pattern of connectivity among brain areas that can be visualized through a functional connectivity matrix (FCM) matrix. As in any measurement, BOLD signals are subject to contamination from noise and nuisances unrelated to brain's intrinsic activity...
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/28227407/recursive-feature-elimination-for-biomarker-discovery-in-resting-state-functional-connectivity
#4
Hariharan Ravishankar, Radhika Madhavan, Rakesh Mullick, Teena Shetty, Luca Marinelli, Suresh E Joel, Hariharan Ravishankar, Radhika Madhavan, Rakesh Mullick, Teena Shetty, Luca Marinelli, Suresh E Joel, Suresh E Joel, Teena Shetty, Luca Marinelli, Rakesh Mullick, Hariharan Ravishankar, Radhika Madhavan
Biomarker discovery involves finding correlations between features and clinical symptoms to aid clinical decision. This task is especially difficult in resting state functional magnetic resonance imaging (rs-fMRI) data due to low SNR, high-dimensionality of images, inter-subject and intra-subject variability and small numbers of subjects compared to the number of derived features. Traditional univariate analysis suffers from the problem of multiple comparisons. Here, we adopt an alternative data-driven method for identifying population differences in functional connectivity...
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
#5
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/28227043/study-of-functional-brain-homogeneity-in-female-patients-with-major-depressive-disorder
#6
X Zhang, Y Tang, Y Zhu, Y Li, S Tong, X Zhang, Y Tang, Y Zhu, Y Li, S Tong, Y Li, Y Zhu, S Tong, X Zhang, Y Tang
Women are at a twofold higher risk of developing major depressive disorder (MDD) than that of men. However, the investigation of female MDD patients functional brain activity is rare and the detailed mechanism remains unclear. The present work is to explore the altered spontaneous neural activity measured with regional homogeneity (ReHo) in female MDD patients using resting-state functional magnetic resonance imaging (fMRI) technique. Twelve MDD females and twelve matched healthy participants were included in the study...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226700/adaptive-change-point-detection-of-dynamic-functional-connectivity-networks
#7
Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Shella D Keilholz, Chin-Hui Lee, Sadia Shakil
This study presents a new algorithm to adaptively detect change points of functional connectivity networks in the brain. It uses scans from resting-state functional magnetic resonance imaging (rsfMRI) which is one of the major tools to investigate intrinsic brain functionality. Different regions of the resting brain form networks that change states within a few seconds to minutes. The change points of these networks are different in normal and disordered brain functions and their understanding can help in identification of brain disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226698/differences-in-connectivity-patterns-between-child-and-adolescent-attention-deficit-hyperactivity-disorder-patients
#8
Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Hyunjin Park, Bo-Yong Park, Jonghoon Kim
Attention deficit hyperactivity disorder (ADHD) is a common psychological disorder for a broad range of ages. Child and adolescent ADHD patients show different behavior patterns. The differences between child and adolescent ADHD patients have not been fully explored in terms of brain connectivity. In this study, we explored the differences of connectivity patterns between child and adolescent ADHD patients using resting-state functional magnetic resonance imaging (rs-fMRI) of 52 ADHD patients (26 children and 26 adolescents)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226437/exploring-spatiotemporal-dynamics-of-the-human-brain-by-multimodal-imaging
#9
Han Yuan, Jerzy Bodurka, Lei Ding, Han Yuan, Jerzy Bodurka, Lei Ding, Han Yuan, Lei Ding, Jerzy Bodurka
Functional magnetic resonance imaging (fMRI) studies utilizing measures of hemodynamic signal, such as the blood-oxygenation-level dependent (BOLD) signal, have discovered that resting-state brain activities are organized into multiple large-scale functional networks, coined as resting state networks (RSNs). However, an important limitation of the available fMRI studies is that hemodynamic signals only provide an indirect measure of neuronal activity and that the neurobiological basis of the fMRI RSNs is not clear...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226275/short-term-cerebral-activity-alterations-after-surgery-in-patients-with-unilateral-mesial-temporal-lobe-epilepsy-associated-with-hippocampal-sclerosis-a-longitudinal-resting-state-fmri-study
#10
Yingying Tang, Wei Xia, Xiaofeng Yu, Bo Zhou, Chunyan Luo, Xiaoqi Huang, Qin Chen, Qiyong Gong, Dong Zhou
PURPOSE: Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS), as a brain network disorder, has given increased importance to resective surgery. We aimed to examine the short-term postoperative functional network reorganization in patients with unilateral MTLE-HS using resting-state functional magnetic resonance imaging (Rs-fMRI) data with a longitudinal design. METHOD: Seventeen (10 right-side and 7 left-side) patients with unilateral MTLE-HS were recruited...
January 3, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28224285/abnormal-effective-connectivity-in-the-brain-is-involved-in-auditory-verbal-hallucinations-in-schizophrenia
#11
Baojuan Li, Long-Biao Cui, Yi-Bin Xi, Karl J Friston, Fan Guo, Hua-Ning Wang, Lin-Chuan Zhang, Yuan-Han Bai, Qing-Rong Tan, Hong Yin, Hongbing Lu
Information flow among auditory and language processing-related regions implicated in the pathophysiology of auditory verbal hallucinations (AVHs) in schizophrenia (SZ) remains unclear. In this study, we used stochastic dynamic causal modeling (sDCM) to quantify connections among the left dorsolateral prefrontal cortex (inner speech monitoring), auditory cortex (auditory processing), hippocampus (memory retrieval), thalamus (information filtering), and Broca's area (language production) in 17 first-episode drug-naïve SZ patients with AVHs, 15 without AVHs, and 19 healthy controls using resting-state functional magnetic resonance imaging...
February 21, 2017: Neuroscience Bulletin
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
#12
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/28222620/abnormality-of-spontaneous-brain-activities-in-patients-with-chronic-neck-and-shoulder-pain-a-resting-state-fmri-study
#13
Cheng-Xin Yu, Ting-Ting Ji, Hao Song, Bo Li, Qiang Han, Liang Li, Zhi-Zheng Zhuo
Objectives Chronic gneck and shoulder pain (CNSP) is a common clinical symptom of cervical spondylotic radiculopathy. Several studies using resting-state functional magnetic resonance imaging (rs-fMRI) have reported that most chronic pain diseases are accompanied by structural and functional changes in the brain. However, few rs-fMRI studies have examined CNSP. The current study investigated cerebral structural and functional changes in CNSP patients. Methods In total, 25 CNSP patients and 20 healthy volunteers participated in the study...
February 2017: Journal of International Medical Research
https://www.readbyqxmd.com/read/28220070/neural-correlates-of-mirror-visual-feedback-induced-performance-improvements-a-resting-state-fmri-study
#14
Viola Rjosk, Jöran Lepsien, Elisabeth Kaminski, Maike Hoff, Bernhard Sehm, Christopher J Steele, Arno Villringer, Patrick Ragert
Mirror visual feedback (MVF) is a promising approach to enhance motor performance without training in healthy adults as well as in patients with focal brain lesions. There is preliminary evidence that a functional modulation within and between primary motor cortices as assessed with transcranial magnetic stimulation (TMS) might be one candidate mechanism mediating the observed behavioral effects. Recently, studies using task-based functional magnetic resonance imaging (fMRI) have indicated that MVF-induced functional changes might not be restricted to the primary motor cortex (M1) but also include higher order regions responsible for perceptual-motor coordination and visual attention...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28220069/effects-of-selective-serotonin-reuptake-inhibitors-on-interregional-relation-of-serotonin-transporter-availability-in-major-depression
#15
Gregory M James, Pia Baldinger-Melich, Cecile Philippe, Georg S Kranz, Thomas Vanicek, Andreas Hahn, Gregor Gryglewski, Marius Hienert, Marie Spies, Tatjana Traub-Weidinger, Markus Mitterhauser, Wolfgang Wadsak, Marcus Hacker, Siegfried Kasper, Rupert Lanzenberger
Selective serotonin reuptake inhibitors (SSRIs) modulate serotonergic neurotransmission by blocking reuptake of serotonin from the extracellular space. Up to now, it remains unclear how SSRIs achieve their antidepressant effect. However, task-based and resting state functional magnetic resonance imaging studies, have demonstrated connectivity changes between brain regions. Here, we use positron emission tomography (PET) to quantify SSRI's main target, the serotonin transporter (SERT), and assess treatment-induced molecular changes in the interregional relation of SERT binding potential (BPND)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28215391/childhood-trauma-related-alterations-in-brain-function-during-a-theory-of-mind-task-in-schizophrenia
#16
Yann Quidé, Xin H Ong, Sebastian Mohnke, Knut Schnell, Henrik Walter, Vaughan J Carr, Melissa J Green
Childhood trauma is a risk factor for schizophrenia that affects brain functions associated with higher cognitive processes, including social cognition. Alterations in Theory-of-Mind (ToM), or mentalizing skills, are a hallmark feature of schizophrenia, and are also evident in individuals exposed to childhood trauma. However, the impact of childhood trauma exposure on brain function during social cognition in schizophrenia remains unclear. We thus examined the association between childhood trauma and brain function during the performance of a ToM task in 47 patients diagnosed with schizophrenia or schizoaffective disorder...
February 15, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28213118/the-global-signal-in-fmri-nuisance-or-information
#17
Thomas T Liu, Alican Nalci, Maryam Falahpour
The global signal is widely used as a regressor or normalization factor for removing the effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) studies. However, there is considerable controversy over its use because of the potential bias that can be introduced when it is applied to the analysis of both task-related and resting-state fMRI studies. In this paper we take a closer look at the global signal, examining in detail the various sources that can contribute to the signal...
February 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28210922/resting-cerebral-blood-flow-alteration-in-severe-obstructive-sleep-apnoea-an-arterial-spin-labelling-perfusion-fmri-study
#18
Si Nie, De-Chang Peng, Hong-Han Gong, Hai-Jun Li, Li-Ting Chen, Cheng-Long Ye
STUDY OBJECTIVES: The aim of this study is to investigate changes in regional cerebral blood flow (rCBF) in awake people with untreated severe obstructive sleep apnoea (OSAs) compared with good sleepers (GSs). DESIGN: Arterial spin labelling perfusion imaging was used to quantify cerebral perfusion based on resting-state functional magnetic resonance imaging (MRI). SETTING: Lying supine in a 3.0-T magnetic resonance imaging scanner in the night was done...
February 16, 2017: Sleep & Breathing, Schlaf & Atmung
https://www.readbyqxmd.com/read/28199371/the-value-of-resting-state-functional-magnetic-resonance-imaging-for-detecting-epileptogenic-zones-in-patients-with-focal-epilepsy
#19
Zhijuan Chen, Yang An, Bofeng Zhao, Weidong Yang, Qing Yu, Li Cai, Hongyan Ni, Jianzhong Yin
OBJECTIVE: To determine the value of resting-state functional magnetic resonance imaging (RS-fMRI) based on the local analysis methods regional homogeneity (ReHo), amplitude of low-frequency fluctuations (ALFF), and fractional ALFF (fALFF), for detecting epileptogenic zones (EZs). METHODS: A total of 42 consecutive patients with focal epilepsy were enrolled. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of visually assessed RS-fMRI, MRI, magnetic resonance spectroscopy (MRS), video electroencephalography (VEEG), and positron-emission tomography computed tomography (PET-CT) in EZ localization were evaluated to assess their diagnostic abilities...
2017: PloS One
https://www.readbyqxmd.com/read/28197096/resting-state-brain-anomalies-in-type-2-diabetes-a-meta-analysis
#20
REVIEW
Wenqing Xia, Yu-Chen Chen, Jianhua Ma
Resting-state functional magnetic resonance imaging (fMRI) studies have revealed abnormal neural activity in patients with type 2 diabetes mellitus (T2DM). Nonetheless, these findings are heterogeneous and have not been quantitatively reviewed. Thus, we aimed to conduct a meta-analysis that identified consistent results of existing resting-state fMRI studies to determine concordant resting-state neural brain activity alterations in T2DM patients. A systematic search was conducted for resting-state fMRI studies comparing T2DM patients with healthy controls...
2017: Frontiers in Aging Neuroscience
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