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https://www.readbyqxmd.com/read/28338944/salience-network-engagement-with-the-detection-of-morally-laden-information
#1
Gunes Sevinc, I Hakan Gurvit, R Nathan Spreng
Moral cognition is associated with activation of the default network, regions implicated in mentalizing about one's own actions or the intentions of others. Yet little is known about the initial detection of moral information. We examined the neural correlates of moral processing during a narrative completion task, which included an implicit moral salience manipulation. During fMRI scanning, participants read a brief vignette and selected the most semantically congruent sentence from two options to complete the narrative...
March 9, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/28338943/dysfunction-of-large-scale-brain-networks-in-schizophrenia-a-meta-analysis-of-resting-state-functional-connectivity
#2
Debo Dong, Yulin Wang, Xuebin Chang, Cheng Luo, Dezhong Yao
Schizophrenia is a complex mental disorder with disorganized communication among large-scale brain networks, as demonstrated by impaired resting-state functional connectivity (rsFC). Individual rsFC studies, however, vary greatly in their methods and findings. We searched for consistent patterns of network dysfunction in schizophrenia by using a coordinate-based meta-analysis. Fifty-six seed-based voxel-wise rsFC datasets from 52 publications (2115 patients and 2297 healthy controls) were included in this meta-analysis...
March 11, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28334998/spatiotemporal-mapping-of-epileptic-spikes-using-simultaneous-eeg-functional-mri
#3
Jennifer M Walz, Mangor Pedersen, Amir Omidvarnia, Mira Semmelroch, Graeme D Jackson
Epileptic spikes occur on the sub-second timescale and are known to involve not only epileptic foci but also large-scale distributed brain networks. There is likely to be a sequence of neural activity in multiple brain regions that occurs within the duration of a single spike, but standard electroencephalography-functional magnetic resonance imaging analyses, which use only the timing of the spikes to model the functional magnetic resonance imaging data, cannot determine the sequence of these activations. Our aim in this study is to temporally resolve these spatial activations to observe the spatiotemporal dynamics of the spike-related neural activity at a sub-second timescale...
February 20, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28330464/spectral-temporal-eeg-dynamics-of-speech-discrimination-processing-in-infants-during-sleep
#4
Phillip M Gilley, Kristin Uhler, Kaylee Watson, Christine Yoshinaga-Itano
BACKGROUND: Oddball paradigms are frequently used to study auditory discrimination by comparing event-related potential (ERP) responses from a standard, high probability sound and to a deviant, low probability sound. Previous research has established that such paradigms, such as the mismatch response or mismatch negativity, are useful for examining auditory processes in young children and infants across various sleep and attention states. The extent to which oddball ERP responses may reflect subtle discrimination effects, such as speech discrimination, is largely unknown, especially in infants that have not yet acquired speech and language...
March 22, 2017: BMC Neuroscience
https://www.readbyqxmd.com/read/28328993/agreement-between-functional-connectivity-and-cortical-thickness-driven-correlation-maps-of-the-medial-frontal-cortex
#5
Hyunjin Park, Yeong-Hun Park, Jungho Cha, Sang Won Seo, Duk L Na, Jong-Min Lee
Parcellation of the human cortex has important implications in neuroscience. Parcellation is often a crucial requirement before meaningful regional analysis can occur. The human cortex can be parcellated into distinct regions based on structural features, such as gyri and sulci. Brain network patterns in a given region with respect to its neighbors, known as connectional fingerprints, can be used to parcellate the cortex. Distinct imaging modalities might provide complementary information for brain parcellation...
2017: PloS One
https://www.readbyqxmd.com/read/28326021/abnormalities-in-structural-covariance-of-cortical-gyrification-in-parkinson-s-disease
#6
Jinping Xu, Jiuquan Zhang, Jinlei Zhang, Yue Wang, Yanling Zhang, Jian Wang, Guanglin Li, Qingmao Hu, Yuanchao Zhang
Although abnormal cortical morphology and connectivity between brain regions (structural covariance) have been reported in Parkinson's disease (PD), the topological organizations of large-scale structural brain networks are still poorly understood. In this study, we investigated large-scale structural brain networks in a sample of 37 PD patients and 34 healthy controls (HC) by assessing the structural covariance of cortical gyrification with local gyrification index (lGI). We demonstrated prominent small-world properties of the structural brain networks for both groups...
2017: Frontiers in Neuroanatomy
https://www.readbyqxmd.com/read/28320311/a-receptor-based-analysis-of-local-ecosystems-in-the-human-brain
#7
Skirmantas Janušonis
BACKGROUND: As a complex system, the brain is a self-organizing entity that depends on local interactions among cells. Its regions (anatomically defined nuclei and areas) can be conceptualized as cellular ecosystems, but the similarity of their functional profiles is poorly understood. The study used the Allen Human Brain Atlas to classify 169 brain regions into hierarchically-organized environments based on their expression of 100 G protein-coupled neurotransmitter receptors, with no a priori reference to the regions' positions in the brain's anatomy or function...
March 20, 2017: BMC Neuroscience
https://www.readbyqxmd.com/read/28315461/single-or-multi-frequency-generators-in-on-going-brain-activity-a-mechanistic-whole-brain-model-of-empirical-meg-data
#8
Gustavo Deco, Joana Cabral, Mark W Woolrich, Angus B A Stevner, Tim J van Hartevelt, Morten L Kringelbach
During rest, envelopes of band-limited on-going MEG signals co-vary across the brain in consistent patterns, which have been related to resting-state networks measured with fMRI. To investigate the genesis of such envelope correlations, we consider a whole-brain network model assuming two distinct fundamental scenarios: one where each brain area generates oscillations in a single frequency, and a novel one where each brain area can generate oscillations in multiple frequency bands. The models share, as a common generator of damped oscillations, the normal form of a supercritical Hopf bifurcation operating at the critical border between the steady state and the oscillatory regime...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28304293/coordinate-based-meta-analysis-of-the-default-mode-and-salience-network-for-target-identification-in-non-invasive-brain-stimulation-of-alzheimer-s-disease-and-behavior-variant-frontotemporal-dementia-networks
#9
Michela Pievani, Lorenzo Pini, Clarissa Ferrari, Francesca B Pizzini, Ilaria Boscolo Galazzo, Chiara Cobelli, Maria Cotelli, Rosa Manenti, Giovanni B Frisoni
BACKGROUND: The accurate choice of the site of non-invasive brain stimulation (NIBS) is an important factor in trial design. OBJECTIVE: Based on the observation that Alzheimer's disease (AD) and behavioral frontotemporal dementia (bvFTD) affect specific large-scale networks, i.e., the default mode network (DMN) and the salience network (SN), respectively, we aimed to identify population-average coordinates of these networks that could be used as potential targets in NIBS trials aiming to modulate these circuits...
March 13, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28293180/brief-mental-training-reorganizes-large-scale-brain-networks
#10
Yi-Yuan Tang, Yan Tang, Rongxiang Tang, Jarrod A Lewis-Peacock
Emerging evidences have shown that one form of mental training-mindfulness meditation, can improve attention, emotion regulation and cognitive performance through changing brain activity and structural connectivity. However, whether and how the short-term mindfulness meditation alters large-scale brain networks are not well understood. Here, we applied a novel data-driven technique, the multivariate pattern analysis (MVPA) to resting-state fMRI (rsfMRI) data to identify changes in brain activity patterns and assess the neural mechanisms induced by a brief mindfulness training-integrative body-mind training (IBMT), which was previously reported in our series of randomized studies...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28291264/abnormal-white-matter-structural-connectivity-in-adults-with-obsessive-compulsive-disorder
#11
J Gan, M Zhong, J Fan, W Liu, C Niu, S Cai, L Zou, Ya Wang, Yi Wang, C Tan, R C K Chan, X Zhu
Obsessive-compulsive disorder (OCD) is a complex and severe psychiatric disorder whose pathogenesis is not fully understood. Recent studies have shown white matter (WM) alterations in adults with OCD, but the results have been inconsistent. The present study investigated WM structure in OCD patients with the hypothesis that large-scale brain networks may be disrupted in OCD. A total of 24 patients with OCD and 23 healthy controls (HCs) were scanned with diffusion tensor imaging. A tract-based spatial statistics (TBSS) approach was used to detect differences across the whole brain in patients with OCD vs HCs; post hoc fiber tractography was applied to characterize developmental differences between the two groups...
March 14, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28290391/effect-of-propofol-anesthesia-on-resting-state-brain-functional-connectivity-in-indian-population-with-chronic-back-pain
#12
Kamath Sriganesh, Rakesh Balachandar, Bhavani Shankara Bagepally, Jitender Saini, G S Umamaheswara Rao
OBJECTIVE: Functional magnetic resonance imaging (fMRI) studies in healthy volunteers have shown alterations in brain connectivity following anesthesia as compared to the awake state. It is not known if the anesthesia-induced changes in brain connectivity are different in a pathological state. This study aims to evaluate changes in the resting state functional connectivity in the brain, after propofol anesthesia, in patients with chronic back pain (CBP). MATERIALS AND METHODS: Fourteen adults with CBP were included in this prospective study over 6 months...
March 2017: Neurology India
https://www.readbyqxmd.com/read/28289224/patterns-of-coordinated-cortical-remodeling-during-adolescence-and-their-associations-with-functional-specialization-and-evolutionary-expansion
#13
Aristeidis Sotiras, Jon B Toledo, Raquel E Gur, Ruben C Gur, Theodore D Satterthwaite, Christos Davatzikos
During adolescence, the human cortex undergoes substantial remodeling to support a rapid expansion of behavioral repertoire. Accurately quantifying these changes is a prerequisite for understanding normal brain development, as well as the neuropsychiatric disorders that emerge in this vulnerable period. Past accounts have demonstrated substantial regional heterogeneity in patterns of brain development, but frequently have been limited by small samples and analytics that do not evaluate complex multivariate imaging patterns...
March 13, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28288700/externally-induced-frontoparietal-synchronization-modulates-network-dynamics-and-enhances-working-memory-performance
#14
Ines R Violante, Lucia M Li, David W Carmichael, Romy Lorenz, Robert Leech, Adam Hampshire, John C Rothwell, David J Sharp
Cognitive functions such as working memory (WM) are emergent properties of large-scale network interactions. Synchronisation of oscillatory activity might contribute to WM by enabling the coordination of long-range processes. However, causal evidence for the way oscillatory activity shapes network dynamics and behavior in humans is limited. Here we applied transcranial alternating current stimulation (tACS) to exogenously modulate oscillatory activity in a right frontoparietal network that supports WM. Externally induced synchronization improved performance when cognitive demands were high...
March 14, 2017: ELife
https://www.readbyqxmd.com/read/28287169/spatial-confluence-of-psychological-and-anatomical-network-constructs-in-the-human-brain-revealed-by-a-mass-meta-analysis-of-fmri-activation
#15
William Hedley Thompson, Peter Fransson
It is well-known that the brain's activity is organized into networks but it is unclear how many networks exist. Additionally, there is also a risk of ambiguity since different names for the same network are frequently reported in the literature. In this study, we employed a mass meta-analysis of fMRI data associated with network constructs originating from both psychology and neuroscience. Based on the results from the meta-analysis, we derived a spatial similarity map between all construct terms, showing that the brain's networks cluster hierarchically into several levels...
March 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28284798/interactions-between-the-anterior-cingulate-insula-network-and-the-fronto-parietal-network-during-perceptual-decision-making
#16
Ganesh B Chand, Mukesh Dhamala
Information processing in the human brain during cognitively demanding goal-directed tasks is thought to involve several large-scale brain networks, including the anterior cingulate-insula network (aCIN) and the fronto-parietal network (FPN). Recent functional MRI (fMRI) studies have provided clues that the aCIN initiates activity changes in the FPN. However, when and how often these networks interact remains largely unknown to date. Here, we systematically examined the oscillatory interactions between the aCIN and the FPN by using the spectral Granger causality analysis of reconstructed brain source signals from the scalp electroencephalography (EEG) recorded from human participants performing a face-house perceptual categorization task...
March 8, 2017: NeuroImage
https://www.readbyqxmd.com/read/28277342/functional-neuroimaging-in-obesity
#17
Laura Patriarca, Greta Magerowski, Miguel Alonso-Alonso
PURPOSE OF REVIEW: This review examines recent advances in the use of functional neuroimaging to study human obesity, a field that is rapidly expanding and continues to be of paramount importance for a better understanding of the pathogenesis of this condition. With rising levels of obesity worldwide and limited therapeutic options, there is a great need for the development of new solutions that can benefit patients. RECENT FINDINGS: Studies that utilize functional neuroimaging are beginning to shed light on the nature of behavioral and neurocognitive dysfunctions previously identified in individuals with obesity...
March 8, 2017: Current Opinion in Endocrinology, Diabetes, and Obesity
https://www.readbyqxmd.com/read/28275697/a-robust-biomarker-of-large-scale-network-failure-in-alzheimer-s-disease
#18
Daniela A Wiepert, Val J Lowe, David S Knopman, Bradley F Boeve, Jonathan Graff-Radford, Ronald C Petersen, Clifford R Jack, David T Jones
INTRODUCTION: Biomarkers for Alzheimer's disease (AD) pathophysiology have been developed that focus on various levels of brain organization. However, no robust biomarker of large-scale network failure has been developed. Using the recently introduced cascading network failure model of AD, we developed the network failure quotient (NFQ) as a biomarker of this process. METHODS: We developed and optimized the NFQ using our recently published analyses of task-free functional magnetic resonance imaging data in clinically normal (n = 43) and AD dementia participants (n = 28) from the Alzheimer's Disease Neuroimaging Initiative...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28275122/a-statistical-model-for-brain-networks-inferred-from-large-scale-electrophysiological-signals
#19
Catalina Obando, Fabrizio De Vico Fallani
Network science has been extensively developed to characterize the structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of the inference process, networks estimated from experimentally obtained biological data represent one instance of a larger number of realizations with similar intrinsic topology. A modelling approach is therefore needed to support statistical inference on the bottom-up local connectivity mechanisms influencing the formation of the estimated brain networks...
March 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28271039/deep-multi-scale-location-aware-3d-convolutional-neural-networks-for-automated-detection-of-lacunes-of-presumed-vascular-origin
#20
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Lacunes of presumed vascular origin (lacunes) are associated with an increased risk of stroke, gait impairment, and dementia and are a primary imaging feature of the small vessel disease. Quantification of lacunes may be of great importance to elucidate the mechanisms behind neuro-degenerative disorders and is recommended as part of study standards for small vessel disease research. However, due to the different appearance of lacunes in various brain regions and the existence of other similar-looking structures, such as perivascular spaces, manual annotation is a difficult, elaborative and subjective task, which can potentially be greatly improved by reliable and consistent computer-aided detection (CAD) routines...
2017: NeuroImage: Clinical
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