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Resting state networks

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https://www.readbyqxmd.com/read/28822871/altered-language-network-in-benign-childhood-epilepsy-patients-with-spikes-from-non-dominant-side-a-resting-state-fmri-study
#1
Jiajia Fang, Sihan Chen, Cheng Luo, Qiyong Gong, Dongmei An, Dong Zhou
Benign childhood epilepsy with centrotemporal spikes (BECTS) is one of the most common childhood epilepsy syndromes, and language deficits associated with BECTS have become a hot topic. This study investigated alterations of the language network in BECTS children with spikes from the non-dominant side in comparison with healthy controls. Twenty-three children with BECTS and 20 age-matched healthy controls were enrolled. Region of interest -based whole brain functional connectivity analysis was used to identify the potential differences in the functional connectivity of the Broca's area between the two groups...
August 1, 2017: Epilepsy Research
https://www.readbyqxmd.com/read/28819211/dynamic-local-connectivity-uncovers-altered-brain-synchrony-during-propofol-sedation
#2
Rose Dawn Bharath, Rajanikant Panda, Jitender Saini, Kamath Sriganesh, G S Umamaheswara Rao
Human consciousness is considered a result of the synchronous "humming" of multiple dynamic networks. We performed a dynamic functional connectivity analysis using resting state functional magnetic resonance imaging (rsfMRI) in 14 patients before and during a propofol infusion to characterize the sedation-induced alterations in consciousness. A sliding 36-second window was used to derive 59 time points of whole brain integrated local connectivity measurements. Significant changes in the connectivity strength (Z Corr) at various time points were used to measure the connectivity fluctuations during awake and sedated states...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819132/treatment-associated-changes-of-functional-connectivity-of-midbrain-brainstem-nuclei-in-major-depressive-disorder
#3
Gerd Wagner, Feliberto de la Cruz, Stefanie Köhler, Karl-Jürgen Bär
Previous functional magnetic resonance imaging (fMRI) studies demonstrated an abnormally coordinated network functioning in Major Depression Disorder (MDD) during rest. The main monoamine-producing nuclei within midbrain/brainstem are functionally integrated within these specific networks. Therefore, we aimed to investigate the resting-state functional connectivity (RSFC) of these nuclei in 45 MDD patients and differences between patients receiving two different classes of antidepressant drugs. Patients showed reduced RSFC from the ventral tegmental area (VTA) to dorsal anterior cingulate cortex (dACC) and stronger RSFC to the left amygdala and dorsolateral prefrontal cortex (DLPFC)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28817956/the-role-of-intrinsic-brain-functional-connectivity-in-vulnerability-and-resilience-to-bipolar-disorder
#4
Gaelle E Doucet, Danielle S Bassett, Nailin Yao, David C Glahn, Sophia Frangou
OBJECTIVE: Bipolar disorder is a heritable disorder characterized by mood dysregulation associated with brain functional dysconnectivity. Previous research has focused on the detection of risk- and disease-associated dysconnectivity in individuals with bipolar disorder and their first-degree relatives. The present study seeks to identify adaptive brain connectivity features associated with resilience, defined here as avoidance of illness or delayed illness onset in unaffected siblings of patients with bipolar disorder...
August 18, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28816657/a-dynamic-regression-approach-for-frequency-domain-partial-coherence-and-causality-analysis-of-functional-brain-networks
#5
Lipeng Ning, Yogesh Rathi
Coherence and causality measures are often used to analyze the influence of one region on another during analysis of functional brain networks. The analysis methods usually involve a regression problem where the signal of interest is decomposed into a mixture of regressor and a residual signal. In this paper, we revisit this basic problem and present solutions that provide the minimal-entropy residuals for different types of regression filters, such as causal, instantaneously causal and noncausal filters. Using optimal prediction theory, we derive several novel frequency-domain expressions for partial coherence, causality and conditional causality analysis...
August 14, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28816098/global-fluctuations-of-cerebral-blood-flow-indicate-a-global-brain-network-independent-of-systemic-factors
#6
Li Zhao, David C Alsop, John A Detre, Weiying Dai
Global synchronization across specialized brain networks is a common feature of network models and in-vivo electrical measurements. Although the imaging of specialized brain networks with blood oxygenation sensitive resting state functional magnetic resonance imaging (rsfMRI) has enabled detailed study of regional networks, the study of globally correlated fluctuations with rsfMRI is confounded by spurious contributions to the global signal from systemic physiologic factors and other noise sources. Here we use an alternative rsfMRI method, arterial spin labeled perfusion MRI, to characterize global correlations and their relationship to correlations and anti-correlations between regional networks...
January 1, 2017: Journal of Cerebral Blood Flow and Metabolism
https://www.readbyqxmd.com/read/28815863/decoding-fmri-events-in-sensorimotor-motor-network-using-sparse-paradigm-free-mapping-and-activation-likelihood-estimates
#7
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, Siu-Yeung Cho, Yaping Zhang, Ian L Dryden, Susan T Francis, Penny A Gowland
Most functional MRI (fMRI) studies map task-driven brain activity using a block or event-related paradigm. Sparse paradigm free mapping (SPFM) can detect the onset and spatial distribution of BOLD events in the brain without prior timing information, but relating the detected events to brain function remains a challenge. In this study, we developed a decoding method for SPFM using a coordinate-based meta-analysis method of activation likelihood estimation (ALE). We defined meta-maps of statistically significant ALE values that correspond to types of events and calculated a summation overlap between the normalized meta-maps and SPFM maps...
August 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28814282/alterations-in-resting-state-functional-connectivity-of-the-default-mode-network-in-amnestic-mild-cognitive-impairment-an-fmri-study
#8
Moyi Li, Guohua Zheng, Yuhui Zheng, Zhenyu Xiong, Rui Xia, Wenji Zhou, Qin Wang, Shengxiang Liang, Jing Tao, Lidian Chen
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is characterized by cognitive functional decline, especially in memory. Resting-state functional magnetic resonance imaging (fMRI) has been widely used in neuroimaging studies that explore alterations between patients and normal individuals to elucidate the pathological mechanisms of different diseases. The current study was performed to investigate alterations in the functional connectivity of the default mode network (DMN) in aMCI patients compared to healthy elderly controls, as well as further define the association between neurological alterations and memory function...
August 16, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28813231/time-frequency-cross-mutual-information-analysis-of-the-brain-functional-networks-underlying-multiclass-motor-imagery
#9
Anmin Gong, Jianping Liu, Si Chen, Yunfa Fu
To study the physiologic mechanism of the brain during different motor imagery (MI) tasks, the authors employed a method of brain-network modeling based on time-frequency cross mutual information obtained from 4-class (left hand, right hand, feet, and tongue) MI tasks recorded as brain-computer interface (BCI) electroencephalography data. The authors explored the brain network revealed by these MI tasks using statistical analysis and the analysis of topologic characteristics, and observed significant differences in the reaction level, reaction time, and activated target during 4-class MI tasks...
August 16, 2017: Journal of Motor Behavior
https://www.readbyqxmd.com/read/28806599/resting-state-functional-connectivity-of-the-anterior-striatum-and-prefrontal-cortex-predicts-reading-performance-in-school-age-children
#10
Sarael Alcauter, Liliana García-Mondragón, Zeus Gracia-Tabuenca, Martha B Moreno, Juan J Ortiz, Fernando A Barrios
The current study investigated the neural basis of reading performance in 60 school-age Spanish-speaking children, aged 6 to 9years. By using a data-driven approach and an automated matching procedure, we identified a left-lateralized resting state network that included typical language regions (Wernicke's and Broca's regions), prefrontal cortex, pre- and post-central gyri, superior and middle temporal gyri, cerebellum, and subcortical regions, and explored its relevance for reading performance (accuracy, comprehension and speed)...
August 11, 2017: Brain and Language
https://www.readbyqxmd.com/read/28803923/stress-induced-neural-reorganization-a-conceptual-framework-linking-depression-and-alzheimer-s-disease
#11
REVIEW
Jennifer A Ross, Gediminas Gliebus, Elisabeth J Van Bockstaele
Chronic stress is a risk factor for a number of physiological disorders including cardiovascular disease, obesity and gastrointestinal disorders, as well as psychiatric and neurodegenerative disorders. There are a number of underlying molecular and cellular mechanisms altered in the course of chronic stress, which may increase the vulnerability of individuals to develop psychiatric disorders such as depression, and neurodegenerative disorders such as Alzheimer's Disease (AD). This is evident in the influence of stress on large-scale brain networks, including the resting state Default Mode Network (DMN), the effects of stress on neuronal circuitry and architecture, and the cellular and molecular adaptations to stress, which may render individuals with stress related psychiatric disorders more vulnerable to neurodegenerative disease later in life...
August 10, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28803847/psychotic-symptoms-influence-the-development-of-anterior-cingulate-bold-variability-in-22q11-2-deletion-syndrome
#12
Daniela Zöller, Maria Carmela Padula, Corrado Sandini, Maude Schneider, Elisa Scariati, Dimitri Van De Ville, Marie Schaer, Stephan Eliez
Chromosome 22q11.2 deletion syndrome (22q11DS) is a neurodevelopmental disorder associated with a broad phenotype of clinical, cognitive and psychiatric features. Due to the very high prevalence of schizophrenia (30-40%), the investigation of psychotic symptoms in the syndrome is promising to reveal biomarkers for the development of psychosis, also in the general population. Since schizophrenia is seen as a disorder of the dynamic interactions between brain networks, we here investigated brain dynamics, assessed by the variability of blood oxygenation level dependent (BOLD) signals, in patients with psychotic symptoms...
August 10, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28798808/altered-brain-functional-connectivity-in-small-cell-lung-cancer-patients-after-chemotherapy-treatment-a-resting-state-fmri-study
#13
Konstantinos Bromis, Kostakis Gkiatis, Irene Karanasiou, George Matsopoulos, Eustratios Karavasilis, Matilda Papathanasiou, Efstathios Efstathopoulos, Nikolaos Kelekis, Vasileios Kouloulias
Previous studies in small-cell lung cancer (SCLC) patients have mainly focused on exploring neurocognitive deficits associated with prophylactic cranial irradiation (PCI). Little is known about functional brain alterations that might occur due to chemotherapy treatment in this population before PCI is administered. For this reason, we used resting-state functional Magnetic Resonance Imaging (fMRI) to examine potential functional connectivity disruptions in brain networks, including the Default Mode Network (DMN), the Sensorimotor Network, and the Task-Positive Network (TPN)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28798683/enhanced-gamma-activity-and-cross-frequency-interaction-of-resting-state-electroencephalographic-oscillations-in-patients-with-alzheimer-s-disease
#14
Jing Wang, Yuxing Fang, Xiao Wang, Huichao Yang, Xin Yu, Huali Wang
Cognitive impairment, functional decline and behavioral symptoms that characterize Alzheimer's disease (AD) are associated with perturbations of the neuronal network. The typical electroencephalographic (EEG) features in AD patients are increased delta or theta rhythm and decreased alpha or beta rhythm activities. However, considering the role of cross-frequency couplings in cognition, the alternation of cross-frequency couplings in AD patients is still obscure. This study aims to explore the interaction dynamics between different EEG oscillations in AD patients...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28796604/dual-temporal-and-spatial-sparse-representation-for-inferring-group-wise-brain-networks-from-resting-state-fmri-dataset
#15
Junhui Gong, Xiaoyan Liu, Tianming Liu, Jiansong Zhou, Gang Sun, Juanxiu Tian
Recently, sparse representation has been successfully used to identify brain networks from task-based fMRI dataset. However, when using the strategy to analyze resting-state fMRI dataset, it is still a challenge to automatically infer the group-wise brain networks under consideration of group commonalities and subject-specific characteristics. In the paper, a novel method based on dual temporal and spatial sparse representation (DTSSR) is proposed to meet this challenge. Firstly, the brain functional networks with subject-specific characteristics are obtained via sparse representation with online dictionary learning for the fMRI time series (temporal domain) of each subject...
August 9, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28795168/changes-in-brain-behavior-relationships-following-a-3-month-pilot-cognitive-intervention-program-for-adults-with-traumatic-brain-injury
#16
S Porter, I J Torres, W Panenka, Z Rajwani, D Fawcett, A Hyder, N Virji-Babul
Facilitating functional recovery following brain injury is a key goal of neurorehabilitation. Direct, objective measures of changes in the brain are critical to understanding how and when meaningful changes occur, however, assessing neuroplasticity using brain based results remains a significant challenge. Little is known about the underlying changes in functional brain networks that correlate with cognitive outcomes in traumatic brain injury (TBI). The purpose of this pilot study was to assess the feasibility of an intensive three month cognitive intervention program in individuals with chronic TBI and to evaluate the effects of this intervention on brain-behavioral relationships...
August 2017: Heliyon
https://www.readbyqxmd.com/read/28794980/connectivity-of-precuneus-to-the-default-mode-and-dorsal-attention-networks-a-possible-invariant-marker-of-long-term-tinnitus
#17
Sara A Schmidt, Jake Carpenter-Thompson, Fatima T Husain
Resting state functional connectivity studies of tinnitus have provided inconsistent evidence concerning its neural bases. This may be due to differences in the methodology used, but it is also likely related to the heterogeneity of the tinnitus population. In this study, our goal was to identify resting state functional connectivity alterations that consistently appear across tinnitus subgroups. We examined two sources of variability in the subgroups: tinnitus severity and the length of time a person has had chronic tinnitus (referred to as tinnitus duration)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28794974/resting-state-functional-connectivity-changes-due-to-acute-and-short-term-valproic-acid-administration-in-the-baboon-model-of-gge
#18
Felipe S Salinas, Charles Ákos Szabó
Resting-state functional connectivity (FC) is altered in baboons with genetic generalized epilepsy (GGE) compared to healthy controls (CTL). We compared FC changes between GGE and CTL groups after intravenous injection of valproic acid (VPA) and following one-week of orally administered VPA. Seven epileptic (2 females) and six CTL (3 females) baboons underwent resting-state fMRI (rs-fMRI) at 1) baseline, 2) after intravenous acute VPA administration (20 mg/kg), and 3) following seven-day oral, subacute VPA therapy (20-80 mg/kg/day)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28793242/frequency-specific-alteration-of-functional-connectivity-density-in-antipsychotic-naive-adolescents-with-early-onset-schizophrenia
#19
Xiao Wang, Yan Zhang, Zhiliang Long, Junjie Zheng, Youxue Zhang, Shaoqiang Han, Yifeng Wang, Xujun Duan, Mi Yang, Jingping Zhao, Huafu Chen
Early-onset schizophrenia (EOS) is a severe mental illness associated with dysconnectivity that widespread in the brain. However, the functional dysconnectivity in EOS are still mixed. Recently, studies have identified that functional connectivity (FC) arises from a band-limited slow rhythmic mechanism and suggested that the dysconnectivity at specific frequency bands may provide more robust biomarkers for schizophrenia. The frequency-specific changes of FC pattern in EOS remain unclear. To address this issue, resting-state functional magnetic resonance imaging data scans from 39 EOS patients (drug-naive) and 31 healthy controls (HCs) were used to assess the FC density (FCD) across slow-4 (0...
July 19, 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28792155/altered-functional-connectivity-of-the-default-mode-network-in-low-empathy-subjects
#20
Seung Jun Kim, Sung Eun Kim, Hyo Eun Kim, Kiwan Han, Bumseok Jeong, Jae Jin Kim, Kee Namkoong, Ji Woong Kim
Empathy is the ability to identify with or make a vicariously experience of another person's feelings or thoughts based on memory and/or self-referential mental simulation. The default mode network in particular is related to self-referential empathy. In order to elucidate the possible neural mechanisms underlying empathy, we investigated the functional connectivity of the default mode network in subjects from a general population. Resting state functional magnetic resonance imaging data were acquired from 19 low-empathy subjects and 18 medium-empathy subjects...
September 2017: Yonsei Medical Journal
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