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https://www.readbyqxmd.com/read/28072380/network-functional-connectivity-and-whole-brain-functional-connectomics-to-investigate-cognitive-decline-in-neurodegenerative-conditions
#1
REVIEW
O Dipasquale, Mara Cercignani
Non-invasive mapping of brain functional connectivity (FC) has played a fundamental role in neuroscience, and numerous scientists have been fascinated by its ability to reveal the brain's intricate morphology and functional properties. In recent years, two different techniques have been developed that are able to explore FC in pathophysiological conditions and to provide simple and non-invasive biomarkers for the detection of disease onset, severity and progression. These techniques are independent component analysis, which allows a network-based functional exploration of the brain, and graph theory, which provides a quantitative characterization of the whole-brain FC...
October 2016: Functional Neurology
https://www.readbyqxmd.com/read/28070001/neuroimaging-biomarkers-predict-brain-structural-connectivity-change-in-a-mouse-model-of-vascular-cognitive-impairment
#2
Philipp Boehm-Sturm, Martina Füchtemeier, Marco Foddis, Susanne Mueller, Rebecca C Trueman, Marietta Zille, Jan Leo Rinnenthal, Theodore Kypraios, Laurence Shaw, Ulrich Dirnagl, Tracy D Farr
BACKGROUND AND PURPOSE: Chronic hypoperfusion in the mouse brain has been suggested to mimic aspects of vascular cognitive impairment, such as white matter damage. Although this model has attracted attention, our group has struggled to generate a reliable cognitive and pathological phenotype. This study aimed to identify neuroimaging biomarkers of brain pathology in aged, more severely hypoperfused mice. METHODS: We used magnetic resonance imaging to characterize brain degeneration in mice hypoperfused by refining the surgical procedure to use the smallest reported diameter microcoils (160 μm)...
January 9, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28066709/alterations-of-white-matter-structural-networks-in-patients-with-non-neuropsychiatric-systemic-lupus-erythematosus-identified-by-probabilistic-tractography-and-connectivity-based-analyses
#3
Man Xu, Xiangliang Tan, Xinyuan Zhang, Yihao Guo, Yingjie Mei, Qianjin Feng, Yikai Xu, Yanqiu Feng
PURPOSE: Systemic lupus erythematosus (SLE) is a chronic inflammatory female-predominant autoimmune disease that can affect the central nervous system and exhibit neuropsychiatric symptoms. In SLE patients without neuropsychiatric symptoms (non-NPSLE), recent diffusion tensor imaging studies showed white matter abnormalities in their brains. The present study investigated the entire brain white matter structural connectivity in non-NPSLE patients by using probabilistic tractography and connectivity-based analyses...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28065848/viewing-socio-affective-stimuli-increases-connectivity-within-an-extended-default-mode-network
#4
Martin Göttlich, Zheng Ye, Antoni Rodriguez-Fornells, Thomas F Münte, Ulrike M Krämer
Empathy is an essential ability for prosocial behavior. Previous imaging studies identified a number of brain regions implicated in affective and cognitive aspects of empathy. In this study, we investigated the neural correlates of empathy from a network perspective using graph theory and beta-series correlations. Two independent data sets were acquired using the same paradigm that elicited empathic responses to socio-affective stimuli. One data set was used to define the network nodes and modular structure, the other data set was used to investigate the effects of emotional versus neutral stimuli on network connectivity...
January 5, 2017: NeuroImage
https://www.readbyqxmd.com/read/28050344/structural-networks-involved-in-attention-and-executive-functions-in-multiple-sclerosis
#5
Sara Llufriu, Eloy Martinez-Heras, Elisabeth Solana, Nuria Sola-Valls, Maria Sepulveda, Yolanda Blanco, Elena H Martinez-Lapiscina, Magi Andorra, Pablo Villoslada, Alberto Prats-Galino, Albert Saiz
Attention and executive deficits are disabling symptoms in multiple sclerosis (MS) that have been related to disconnection mechanisms. We aimed to investigate changes in structural connectivity in MS and their association with attention and executive performance applying an improved framework that combines high order probabilistic tractography and anatomical exclusion criteria postprocessing. We compared graph theory metrics of structural networks and fractional anisotropy (FA) of white matter (WM) connections or edges between 72 MS subjects and 38 healthy volunteers (HV) and assessed their correlation with cognition...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28031150/functional-dysconnection-of-the-inferior-frontal-gyrus-in-young-people-with-bipolar-disorder-or-at-genetic-high-risk
#6
Gloria Roberts, Anton Lord, Andrew Frankland, Adam Wright, Phoebe Lau, Florence Levy, Rhoshel K Lenroot, Philip B Mitchell, Michael Breakspear
BACKGROUND: Bipolar disorder (BD) is characterized by a dysregulation of affect and impaired integration of emotion with cognition. These traits are also expressed in probands at high genetic risk of BD. The inferior frontal gyrus (IFG) is a key cortical hub in the circuits of emotion and cognitive control, and it has been frequently associated with BD. Here, we studied resting-state functional connectivity of the left IFG in participants with BD and in those at increased genetic risk...
August 18, 2016: Biological Psychiatry
https://www.readbyqxmd.com/read/28029725/epicenters-of-dynamic-connectivity-in-the-adaptation-of-the-ventral-visual-system
#7
Vesna Prčkovska, Willem Huijbers, Aaron Schultz, Laura Ortiz-Teran, Cleofe Peña-Gomez, Pablo Villoslada, Keith Johnson, Reisa Sperling, Jorge Sepulcre
OBJECTIVES AND DESIGN: Neuronal responses adapt to familiar and repeated sensory stimuli. Enhanced synchrony across wide brain systems has been postulated as a potential mechanism for this adaptation phenomenon. Here, we used recently developed graph theory methods to investigate hidden connectivity features of dynamic synchrony changes during a visual repetition paradigm. Particularly, we focused on strength connectivity changes occurring at local and distant brain neighborhoods. PRINCIPAL OBSERVATIONS: We found that connectivity reorganization in visual modal cortex-such as local suppressed connectivity in primary visual areas and distant suppressed connectivity in fusiform areas-is accompanied by enhanced local and distant connectivity in higher cognitive processing areas in multimodal and association cortex...
December 28, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/28018208/global-efficiency-of-structural-networks-mediates-cognitive-control-in-mild-cognitive-impairment
#8
Rok Berlot, Claudia Metzler-Baddeley, M Arfan Ikram, Derek K Jones, Michael J O'Sullivan
Background: Cognitive control has been linked to both the microstructure of individual tracts and the structure of whole-brain networks, but their relative contributions in health and disease remain unclear. Objective: To determine the contribution of both localized white matter tract damage and disruption of global network architecture to cognitive control, in older age and Mild Cognitive Impairment (MCI). Materials and Methods: Twenty-five patients with MCI and 20 age, sex, and intelligence-matched healthy volunteers were investigated with 3 Tesla structural magnetic resonance imaging (MRI)...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28018183/changed-hub-and-corresponding-functional-connectivity-of-subgenual-anterior-cingulate-cortex-in-major-depressive-disorder
#9
Huawang Wu, Hui Sun, Jinping Xu, Yan Wu, Chao Wang, Jing Xiao, Shenglin She, Jianwei Huang, Wenjin Zou, Hongjun Peng, Xiaobing Lu, Guimao Huang, Tianzi Jiang, Yuping Ning, Jiaojian Wang
Major depressive disorder (MDD) is one of the most prevalent mental disorders. In the brain, the hubs of the brain network play a key role in integrating and transferring information between different functional modules. However, whether the changed pattern in functional network hubs contributes to the onset of MDD remains unclear. Using resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory methods, we investigated whether alterations of hubs can be detected in MDD. First, we constructed the whole-brain voxel-wise functional networks and calculated a functional connectivity strength (FCS) map in each subject in 34 MDD patients and 34 gender-, age- and education level-matched healthy controls (HCs)...
2016: Frontiers in Neuroanatomy
https://www.readbyqxmd.com/read/27984540/electrophysiological-dynamic-brain-connectivity-during-symbolic-magnitude-comparison-in-children-with-different-mathematics-achievement-levels
#10
Fabiola R Gómez-Velázquez, Hugo Vélez-Pérez, Aurora Espinoza-Valdez, Rebeca Romo-Vazquez, Ricardo A Salido-Ruiz, Vanessa Ruiz-Stovel, Geisa B Gallardo-Moreno, Andrés A González-Garrido, Gustavo Berumen
Children with mathematical difficulties usually have an impaired ability to process symbolic representations. Functional MRI methods have suggested that early frontoparietal connectivity can predict mathematic achievements; however, the study of brain connectivity during numerical processing remains unexplored. With the aim of evaluating this in children with different math proficiencies, we selected a sample of 40 children divided into two groups [high achievement (HA) and low achievement (LA)] according to their arithmetic scores in the Wide Range Achievement Test, 4th ed...
December 15, 2016: Neuroreport
https://www.readbyqxmd.com/read/27976608/network-functional-connectivity-and-whole-brain-functional-connectomics-to-investigate-cognitive-decline-in-neurodegenerative-conditions
#11
O Dipasquale, Mara Cercignani
Non-invasive mapping of brain functional connectivity (FC) has played a fundamental role in neuroscience, and numerous scientists have been fascinated by its ability to reveal the brain's intricate morphology and functional properties. In recent years, two different techniques have been developed that are able to explore FC in pathophysiological conditions and to provide simple and non-invasive biomarkers for the detection of disease onset, severity and progression. These techniques are independent component analysis, which allows a network-based functional exploration of the brain, and graph theory, which provides a quantitative characterization of the whole-brain FC...
December 15, 2016: Functional Neurology
https://www.readbyqxmd.com/read/27967181/interdependent-lattice-networks-in-high-dimensions
#12
Steven Lowinger, Gabriel A Cwilich, Sergey V Buldyrev
We study the mutual percolation of two interdependent lattice networks ranging from two to seven dimensions, denoted as D. We impose that the length (measured as chemical distance) of interdependency links connecting nodes in the two lattices be less than or equal to a certain value, r. For each value of D and r, we find the mutual percolation threshold, p_{c}[D,r], below which the system completely collapses through a cascade of failures following an initial destruction of a fraction (1-p) of the nodes in one of the lattices...
November 2016: Physical Review. E
https://www.readbyqxmd.com/read/27937140/evaluation-of-whole-brain-resting-state-functional-connectivity-in-spinal-cord-injury-a-large-scale-network-analysis-using-network-based-statistic
#13
Mayank Kaushal, Akinwunmi Oni-Orisan, Gang Chen, Wenjun Li, Jack Leschke, B Douglas Ward, Benjamin T Kalinosky, Matthew D Budde, Brian D Schmit, Shi-Jiang Li, Vaishnavi Muqeet, Shekar N Kurpad
Large-scale network analysis characterizes the brain as a complex network of nodes and edges to evaluate functional connectivity patterns. The utility of graph-based techniques has been demonstrated in an increasing number of resting-state functional MRI (rs-fMRI) studies in the normal and diseased brain. However, to our knowledge, graph theory has not been used to study the reorganization pattern of resting-state brain networks in patients with traumatic complete spinal cord injury (SCI). In the present analysis, we applied a graph-theoretical approach to explore changes to global brain network architecture as a result of SCI...
December 9, 2016: Journal of Neurotrauma
https://www.readbyqxmd.com/read/27930915/anatomical-dysconnectivity-in-bipolar-disorder-compared-with-schizophrenia-a-selective-review-of-structural-network-analyses-using-diffusion-mri
#14
REVIEW
Stefani O'Donoghue, Laurena Holleran, Dara M Cannon, Colm McDonald
BACKGROUND: The dysconnectivity hypothesis suggests that psychotic illnesses arise not from regionally specific focal pathophysiology, but rather from impaired neuroanatomical integration across networks of brain regions. Decreased white matter organization has been hypothesized to be a feature of psychotic illnesses in general, which is supported by meta-analyses of DTI studies in bipolar disorder and schizophrenia. Although many diffusion MRI studies investigate bipolar disorder and schizophrenia alone, relatively few studies directly compare structural features in these psychotic illnesses...
February 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/27922640/brain-network-reorganization-differs-in-response-to-stress-in-rats-genetically-predisposed-to-depression-and-stress-resilient-rats
#15
N Gass, R Becker, A J Schwarz, W Weber-Fahr, C Clemm von Hohenberg, B Vollmayr, A Sartorius
Treatment-resistant depression (TRD) remains a pressing clinical problem. Optimizing treatment requires better definition of the specificity of the involved brain circuits. The rat strain bred for negative cognitive state (NC) represents a genetic animal model of TRD with high face, construct and predictive validity. Vice versa, the positive cognitive state (PC) strain represents a stress-resilient phenotype. Although NC rats show depressive-like behavior, some symptoms such as anhedonia require an external trigger, i...
December 6, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27920976/resting-state-theta-band-connectivity-and-graph-analysis-in-generalized-social-anxiety-disorder
#16
Mengqi Xing, Reza Tadayonnejad, Annmarie MacNamara, Olusola Ajilore, Julia DiGangi, K Luan Phan, Alex Leow, Heide Klumpp
BACKGROUND: Functional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27919750/mapping-the-functional-connectome-in-traumatic-brain-injury-what-can-graph-metrics-tell-us
#17
Karen Caeyenberghs, Helena Verhelst, Adam Clemente, Peter H Wilson
OBJECTIVE: Traumatic brain injury (TBI) is associated with cognitive and motor deficits, and poses a significant personal, societal, and economic burden. One mechanism by which TBI is thought to affect cognition and behavior is through changes in functional connectivity. Graph theory is a powerful framework for quantifying topological features of neuroimaging-derived functional networks. The objective of this paper is to review studies examining functional connectivity in TBI with an emphasis on graph theoretical analysis that is proving to be valuable in uncovering network abnormalities in this condition...
December 3, 2016: NeuroImage
https://www.readbyqxmd.com/read/27896314/graph-theoretic-and-motif-analyses-of-the-hippocampal-neuron-type-potential-connectome
#18
Christopher L Rees, Diek W Wheeler, David J Hamilton, Charise M White, Alexander O Komendantov, Giorgio A Ascoli
We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavor, the broadest and most complete for a mammalian cortical region at the neuron-type level to date, contains more than 3200 connections among 122 neuron types across six subregions. Analyses of these data using graph theory metrics unveil the fundamental architectural principles of the hippocampal circuit...
November 2016: ENeuro
https://www.readbyqxmd.com/read/27891090/disrupted-nodal-and-hub-organization-account-for-brain-network-abnormalities-in-parkinson-s-disease
#19
Yuko Koshimori, Sang-Soo Cho, Marion Criaud, Leigh Christopher, Mark Jacobs, Christine Ghadery, Sarah Coakeley, Madeleine Harris, Romina Mizrahi, Clement Hamani, Anthony E Lang, Sylvain Houle, Antonio P Strafella
The recent application of graph theory to brain networks promises to shed light on complex diseases such as Parkinson's disease (PD). This study aimed to investigate functional changes in sensorimotor and cognitive networks in Parkinsonian patients, with a focus on inter- and intra-connectivity organization in the disease-associated nodal and hub regions using the graph theoretical analyses. Resting-state functional MRI data of a total of 65 participants, including 23 healthy controls (HCs) and 42 patients, were investigated in 120 nodes for local efficiency, betweenness centrality, and degree...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27880802/algebraic-topology-of-multi-brain-connectivity-networks-reveals-dissimilarity-in-functional-patterns-during-spoken-communications
#20
Bosiljka Tadić, Miroslav Andjelković, Biljana Mileva Boshkoska, Zoran Levnajić
Human behaviour in various circumstances mirrors the corresponding brain connectivity patterns, which are suitably represented by functional brain networks. While the objective analysis of these networks by graph theory tools deepened our understanding of brain functions, the multi-brain structures and connections underlying human social behaviour remain largely unexplored. In this study, we analyse the aggregate graph that maps coordination of EEG signals previously recorded during spoken communications in two groups of six listeners and two speakers...
2016: PloS One
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