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resting-state functional magnetic resonance imaging

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https://www.readbyqxmd.com/read/28817216/functional-neuroimaging-after-severe-anoxic-brain-injury-in-children-may-reveal-preserved-yet-covert-cognitive-function
#1
Adrian M Owen
A growing body of evidence has confirmed that, after severe brain injury in adults, motoric and task-dependent factors that are essential for reliable communication, frequently interfere with an accurate assessment of cognitive status. In the current study, resting state functional magnetic resonance imaging (fMRI) in children who have sustained an anoxic brain injury following a near drowning incident suggests a similar pattern; preserved cognition amidst severe motoric impairment that effectively precludes accurate clinical diagnosis at the bedside...
August 17, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28816657/a-dynamic-regression-approach-for-frequency-domain-partial-coherence-and-causality-analysis-of-functional-brain-networks
#2
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
#3
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/28814282/alterations-in-resting-state-functional-connectivity-of-the-default-mode-network-in-amnestic-mild-cognitive-impairment-an-fmri-study
#4
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/28801920/restoration-of-thalamo-cortical-connectivity-after-brain-injury-recovery-of-consciousness-complex-behavior-or-passage-of-time
#5
Julia S Crone, Branden J Bio, Paul M Vespa, Evan S Lutkenhoff, Martin M Monti
In 2000, a landmark case report described the concurrent restoration of consciousness and thalamo-frontal connectivity after severe brain injury (Laureys et al., ). Being a single case however, this study could not disambiguate whether the result was specific to the restoration of consciousness per se as opposed to the return of complex cognitive function in general or simply the temporal evolution of post-injury pathophysiological events. To test whether the restoration of thalamo-cortical connectivity is specific to consciousness, 20 moderate-to-severe brain injury patients (from a recruited sample of 42) underwent resting-state functional magnetic resonance imaging within a week after injury and again six months later...
August 12, 2017: Journal of Neuroscience Research
https://www.readbyqxmd.com/read/28801672/sample-entropy-reveals-an-age-related-reduction-in-the-complexity-of-dynamic-brain
#6
Yanbing Jia, Huaguang Gu, Qiang Luo
Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas...
August 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28798808/altered-brain-functional-connectivity-in-small-cell-lung-cancer-patients-after-chemotherapy-treatment-a-resting-state-fmri-study
#7
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/28798694/decomposing-multifractal-crossovers
#8
Zoltan Nagy, Peter Mukli, Peter Herman, Andras Eke
Physiological processes-such as, the brain's resting-state electrical activity or hemodynamic fluctuations-exhibit scale-free temporal structuring. However, impacts common in biological systems such as, noise, multiple signal generators, or filtering by transport function, result in multimodal scaling that cannot be reliably assessed by standard analytical tools that assume unimodal scaling. Here, we present two methods to identify breakpoints or crossovers in multimodal multifractal scaling functions. These methods incorporate the robust iterative fitting approach of the focus-based multifractal formalism (FMF)...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28793242/frequency-specific-alteration-of-functional-connectivity-density-in-antipsychotic-naive-adolescents-with-early-onset-schizophrenia
#9
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
#10
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
https://www.readbyqxmd.com/read/28790829/the-regional-neuronal-activity-in-left-posterior-middle-temporal-gyrus-is-correlated-with-the-severity-of-chronic-aphasia
#11
Jianlin Li, Dunren Du, Wei Gao, Xichun Sun, Haizhu Xie, Gang Zhang, Jian Li, Honglun Li, Kefeng Li
BACKGROUND: Aphasia is one of the most disabling cognitive deficits affecting >2 million people in the USA. The neuroimaging characteristics of chronic aphasic patients (>6 months post onset) remain largely unknown. OBJECTIVE: The objective of this study was to investigate the regional signal changes of spontaneous neuronal activity of brain and the inter-regional connectivity in chronic aphasia. MATERIALS AND METHODS: Resting-state blood oxygenation level-dependent functional magnetic resonance imaging (fMRI) was used to obtain fMRI data from 17 chronic aphasic patients and 20 healthy control subjects in a Siemens Verio 3...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28790433/a-neural-marker-of-obsessive-compulsive-disorder-from-whole-brain-functional-connectivity
#12
Yu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, Mitsuo Kawato, Jin Narumoto, Saori C Tanaka
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2-3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric disorders. Although previous resting-state functional magnetic resonance imaging studies investigated the neurobiological abnormalities of patients with OCD, there are concerns that should be addressed. One concern is the validity of the hypothesis employed. Most studies used seed-based analysis of the fronto-striatal circuit, despite the potential for abnormalities in other regions...
August 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28789983/impaired-brain-network-architecture-in-newly-diagnosed-parkinson-s-disease-based-on-graph-theoretical-analysis
#13
Jinping Fang, Huimin Chen, Zhentang Cao, Ying Jiang, Lingyan Ma, Huizi Ma, Tao Feng
BACKGROUND: Resting state functional magnetic resonance imaging (rs-fMRI) has been applied to investigate topographic structure in Parkinson's disease (PD). Alteration of topographic architecture has been inconsistent in PD AIM: To investigate the network profile of PD using graph theoretical analysis. METHOD: Twenty six newly diagnosed PD and 19 age- and gender- matched healthy controls (HC) were included in our analysis. Small-world profile and topographic profiles (nodal degree, global efficiency, local efficiency, cluster coefficient, shortest path length, betweenness centrality) were measured and compared between groups, with age and gender as covariates...
August 5, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28783763/mapping-altered-brain-connectivity-and-its-clinical-associations-in-adult-moyamoya-disease-a-resting-state-functional-mri-study
#14
Ken Kazumata, Khin Khin Tha, Haruto Uchino, Masaki Ito, Naoki Nakayama, Takeo Abumiya
Detection of subtle ischemic injuries in moyamoya disease may enable optimization of timing of revascularization surgery, and could potentially improve functional outcomes. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used to study functional organization of the brain, but it remains unclear whether rs-fMRI could elucidate distinct characteristics in moyamoya disease. Here, we aimed to determine changes in a conventional rs-fMRI measure and analyze any associations with clinical symptoms and cerebral hemodynamics...
2017: PloS One
https://www.readbyqxmd.com/read/28782871/combining-task-related-activation-and-connectivity-analysis-of-fmri-data-reveals-complex-modulation-of-brain-networks
#15
Martin Fungisai Gerchen, Peter Kirsch
Task-related effects in functional magnetic resonance imaging (fMRI) data are usually analyzed with local activation approaches or integrative connectivity approaches, for example, by psychophysiological interaction (PPI) analysis. While both approaches are often applied to the same data set, a systematic combination of the results with a whole-brain (WB) perspective is rarely conducted and the relationship between task-dependent activation and connectivity effects is relatively unexplored. Here, we combined brain activation and graph theoretical analysis of WB-PPI results in an exemplary episodic memory data set of N = 136 healthy human participants and found regions with congruent as well as incongruent activation and connectivity changes between task and control conditions...
August 7, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28777721/infinite-von-mises-fisher-mixture-modeling-of-whole-brain-fmri-data
#16
Rasmus E Røge, Kristoffer H Madsen, Mikkel N Schmidt, Morten Mørup
Cluster analysis of functional magnetic resonance imaging (fMRI) data is often performed using gaussian mixture models, but when the time series are standardized such that the data reside on a hypersphere, this modeling assumption is questionable. The consequences of ignoring the underlying spherical manifold are rarely analyzed, in part due to the computational challenges imposed by directional statistics. In this letter, we discuss a Bayesian von Mises-Fisher (vMF) mixture model for data on the unit hypersphere and present an efficient inference procedure based on collapsed Markov chain Monte Carlo sampling...
August 4, 2017: Neural Computation
https://www.readbyqxmd.com/read/28774705/serotonin-transporter-gene-promoter-methylation-in-peripheral-cells-in-healthy-adults-neural-correlates-and-tissue-specificity
#17
Elmira Ismaylova, Jessica Di Sante, Moshe Szyf, Zsofia Nemoda, Wei-Jo Yu, Florence B Pomares, Gustavo Turecki, Gabriella Gobbi, Frank Vitaro, Richard E Tremblay, Linda Booij
Early adversity can influence gene expression via epigenetic mechanisms, including DNA methylation. Peripheral tissues are essential in psychiatric epigenetics, as methylation generally cannot be assessed in the living human brain. Several magnetic resonance imaging (MRI) studies show associations of peripheral serotonin transporter gene (SLC6A4) methylation with function and/or structure of frontal-limbic circuits and brain's resting-state. Commonly used samples are derived from blood, saliva or buccal cells...
July 31, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28771482/uncoupling-protein-2-haplotype-does-not-affect-human-brain-structure-and-function-in-a-sample-of-community-dwelling-older-adults
#18
Verena Heise, Enikő Zsoldos, Sana Suri, Claire Sexton, Anya Topiwala, Nicola Filippini, Abda Mahmood, Charlotte L Allan, Archana Singh-Manoux, Mika Kivimäki, Clare E Mackay, Klaus P Ebmeier
Uncoupling protein 2 (UCP2) is a mitochondrial membrane protein that plays a role in uncoupling electron transport from adenosine triphosphate (ATP) formation. Polymorphisms of the UCP2 gene in humans affect protein expression and function and have been linked to survival into old age. Since UCP2 is expressed in several brain regions, we investigated in this study whether UCP2 polymorphisms might 1) affect occurrence of neurodegenerative or mental health disorders and 2) affect measures of brain structure and function...
2017: PloS One
https://www.readbyqxmd.com/read/28770039/globally-weaker-and-topologically-different-resting-state-connectivity-in-youth-with-autism
#19
Benjamin E Yerys, John D Herrington, Theodore D Satterthwaite, Lisa Guy, Robert T Schultz, Danielle S Bassett
BACKGROUND: There is a lack of agreement about functional connectivity differences in individuals with autism spectrum disorder (ASD). Studies using absolute strength have found reduced connectivity, while those using relative strength--a measure of system topology--reveal mostly enhanced connectivity. We hypothesized that mixed findings may be driven by the metric of functional connectivity. METHODS: Resting-state echo planar 3 T functional magnetic resonance imaging scans were acquired on a Siemens Verio Scanner from 6 to 17-year-old youth with ASD (n = 81) and a matched typically developing control group (n = 82)...
2017: Molecular Autism
https://www.readbyqxmd.com/read/28769870/altered-coupling-between-motion-related-activation-and-resting-state-brain-activity-in-the-ipsilesional-sensorimotor-cortex-after-cerebral-stroke
#20
Jianping Hu, Juan Du, Qiang Xu, Fang Yang, Fanyong Zeng, Xi-Jian Dai, Xiaoxue Liu, Guangming Lu, Zhiqiang Zhang
Functional connectivity maps using resting-state functional magnetic resonance imaging (rs-fMRI) can closely resemble task fMRI activation patterns, suggesting that resting-state brain activity may predict task-evoked activation or behavioral performance. However, this conclusion was mostly drawn upon a healthy population. It remains unclear whether the predictive ability of resting-state brain activity for task-evoked activation would change under different pathological conditions. This study investigated dynamic changes of coupling between patterns of resting-state functional connectivity (RSFC) and motion-related activation in different stages of cerebral stroke...
2017: Frontiers in Neurology
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