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Resting state fMRI

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https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#1
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28229308/eeg-signatures-of-dynamic-functional-network-connectivity-states
#2
E A Allen, E Damaraju, T Eichele, L Wu, V D Calhoun
The human brain operates by dynamically modulating different neural populations to enable goal directed behavior. The synchrony or lack thereof between different brain regions is thought to correspond to observed functional connectivity dynamics in resting state brain imaging data. In a large sample of healthy human adult subjects and utilizing a sliding windowed correlation method on functional imaging data, earlier we demonstrated the presence of seven distinct functional connectivity states/patterns between different brain networks that reliably occur across time and subjects...
February 22, 2017: Brain Topography
https://www.readbyqxmd.com/read/28227772/the-chronnectome-evaluating-replicability-of-dynamic-connectivity-patterns-in-7500-resting-fmri-datasets
#3
Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Vince D Calhoun, Eswar Damaraju, Anees Abrol, Charlotte Chaze
Functional fMRI data are typically analyzed under the assumption that participants experience one long, continuous connectivity state throughout rest scan sessions. The chronnectome is a model that takes into account the temporal variance in connectivity throughout a scan session. In this work, we evaluate the repeatability of properties of functional network connectivity (FNC) dynamics assessed using sliding-windowed correlations in 28 independent age-matched large samples of 250 subjects. This approach revealed that multiple discrete, reoccurring connectivity states arise during rest, and that subjects tend to remain in one connectivity state for long periods of time before transitioning to another...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#4
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
#5
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
#6
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
#7
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
#8
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/28227295/classification-of-obsessive-compulsive-disorder-from-resting-state-fmri
#9
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/28227293/complex-network-analysis-of-resting-state-fmri-of-the-brain
#10
Abdul Rauf Anwar, Muhammad Yousaf Hashmy, Bilal Imran, Muhammad Hussnain Riaz, Sabtain Muhammad Muntazir Mehdi, Makii Muthalib, Stephane Perrey, Gunther Deuschl, Sergiu Groppa, Muthuraman Muthuraman, Abdul Rauf Anwar, Muhammad Yousaf Hashmy, Bilal Imran, Muhammad Hussnain Riaz, Sabtain Muhammad Muntazir Mehdi, Makii Muthalib, Stephane Perrey, Gunther Deuschl, Sergiu Groppa, Muthuraman Muthuraman, Bilal Imran, Makii Muthalib, Gunther Deuschl, Sergiu Groppa, Abdul Rauf Anwar, Stephane Perrey, Muhammad Hussnain Riaz, Muthuraman Muthuraman, Muhammad Yousaf Hashmy
Due to the fact that the brain activity hardly ever diminishes in healthy individuals, analysis of resting state functionality of the brain seems pertinent. Various resting state networks are active inside the idle brain at any time. Based on various neuro-imaging studies, it is understood that various structurally distant regions of the brain could be functionally connected. Regions of the brain, that are functionally connected, during rest constitutes to the resting state network. In the present study, we employed the complex network measures to estimate the presence of community structures within a network...
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
#11
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/28226702/estimation-of-voxel-wise-dynamic-cerebrovascular-reactivity-curves-from-resting-state-fmri-data
#12
Prokopis C Prokopiou, Kevin Murphy, Richard G Wise, Georgios D Mitsis, Prokopis C Prokopiou, Kevin Murphy, Richard G Wise, Georgios D Mitsis, Prokopis C Prokopiou, Georgios D Mitsis, Richard G Wise, Kevin Murphy
In this work, we investigate the linear dynamic interactions between fluctuations in arterial CO2 that occur during normal breathing, and the BOLD fMRI signal. We cast this problem within a systems-theoretic framework, where we employ functional expansions for the estimation of the impulse responses in large regions of interest, as well as in individual voxels. We also implement classification schemes in order to identify different brain regions with similar cerebrovascular reactivity characteristics. Our results reveal that it is feasible to obtain reliable estimates of cerebrovascular reactivity curves from resting-state data and that these curves exhibit considerable variability across different brain regions that may be related to the underlying anatomy...
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
#13
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/28226438/multiscale-network-activity-in-resting-state-fmri
#14
Shella D Keilholz, Jacob C W Billings, Kai Wang, Anzar Abbas, Claudia Hafeneger, Wen-Ju Pan, Sadia Shakil, Maysam Nezafati, Shella D Keilholz, Jacob C W Billings, Kai Wang, Anzar Abbas, Claudia Hafeneger, Wen-Ju Pan, Sadia Shakil, Maysam Nezafati, Claudia Hafeneger, Anzar Abbas, Kai Wang, Sadia Shakil, Jacob C W Billings, Shella D Keilholz, Maysam Nezafati, Wen-Ju Pan
The brain is inherently multiscalar in both space and time. We argue that this multiscalar nature is reflected in the blood oxygenation level dependent (BOLD) fluctuations used to map functional connectivity. We present evidence that global fluctuations in activity, quasiperiodic spatiotemporal patterns, and aperiodic time-varying activity coexist within the BOLD signal. These processes can be separated using careful analysis and appear to reflect electrical activity on similar scales, suggesting that the BOLD signal fluctuations can provide novel insight into the functional architecture of the brain...
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
#15
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
#16
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/28223812/resting-state-functional-connectivity-changes-within-the-default-mode-network-and-the-salience-network-after-antipsychotic-treatment-in-early-phase-schizophrenia
#17
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/28223037/asymmetric-dopaminergic-degeneration-and-levodopa-alter-functional-corticostriatal-connectivity-bilaterally-in-experimental-parkinsonism
#18
Cyril Monnot, Xiaoqun Zhang, Sahar Nikkhou-Aski, Peter Damberg, Per Svenningsson
Asymmetric dopamine loss is commonly found in early Parkinson's disease (PD), but its effects on functional networks have been difficult to delineate in PD patients because of variations in age, disease duration and therapy. Here we used unilateral 6-hydroxydopamine-lesioned (6-OHDA) rats and controls and treated them with a single intraperitoneal injection of levodopa (L-DOPA) before performing diffusion weighted MRI and resting state functional MRI (rs-fMRI). In accordance with a neurodegeneration of the nigrostriatal dopaminergic pathway, diffusion tensor imaging showed increased radial diffusivity and decreased fractional anisotropy in the lesioned substantia nigra...
February 18, 2017: Experimental Neurology
https://www.readbyqxmd.com/read/28222620/abnormality-of-spontaneous-brain-activities-in-patients-with-chronic-neck-and-shoulder-pain-a-resting-state-fmri-study
#19
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/28222526/the-impact-of-alzheimer-s-disease-on-the-resting-state-functional-connectivity-of-brain-regions-modulating-pain-a-cross-sectional-study
#20
Todd B Monroe, Paul A Beach, Stephen P Bruehl, Mary S Dietrich, Baxter P Rogers, John C Gore, Sebastian W Atalla, Ronald L Cowan
BACKGROUND: It is currently unknown why people with Alzheimer's disease (AD) receive less pain medication and report pain less frequently. OBJECTIVE: The purpose of this study was to determine the impact of AD on thermal psychophysics and resting-state functional connectivity (RSFC) among sensory, affective, descending modulatory, and default mode structures. METHODS: Controls (n = 23, 13 = female) and age-matched people with AD (n = 23, 13 = females) underwent psychophysical testing to rate perceptions of warmth, mild, and moderate pain and then completed resting-state fMRI...
February 7, 2017: Journal of Alzheimer's Disease: JAD
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