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Resting state networks

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https://www.readbyqxmd.com/read/29679735/age-dependent-effects-of-brain-stimulation-on-network-centrality
#1
Daria Antonenko, Till Nierhaus, Marcus Meinzer, Kristin Prehn, Axel Thielscher, Bernd Ittermann, Agnes Flöel
Functional magnetic resonance imaging (fMRI) studies have suggested that advanced age may mediate the effects of transcranial direct current stimulation (tDCS) on brain function. However, studies directly comparing neural tDCS effects between young and older adults are scarce and limited to task-related imaging paradigms. Resting-state (rs-) fMRI, that is independent of age-related differences in performance, is well suited to investigate age-associated differential neural tDCS effects. Three "online" tDCS conditions (anodal, cathodal, sham) were compared in a cross-over, within-subject design, in 30 young and 30 older adults...
April 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29678937/identification-of-a-specific-functional-network-altered-in-poststroke-cognitive-impairment
#2
Clément Bournonville, Hilde Hénon, Thibaut Dondaine, Christine Delmaire, Stephanie Bombois, Anne-Marie Mendyk, Charlotte Cordonnier, Solène Moulin, Xavier Leclerc, Régis Bordet, Renaud Lopes
OBJECTIVE: To study the association between poststroke cognitive impairment and defining a specific resting functional marker. METHODS: The resting-state functional connectivity 6 months after an ischemic stroke in 56 patients was investigated. Twenty-nine of the patients who had an impairment of one or several cognitive domains were compared to 27 without any cognitive deficit. We studied the whole-brain connectivity using 2 complementary approaches: graph theory to study the functional network organization and network-based statistics to explore connectivity between brain regions...
April 20, 2018: Neurology
https://www.readbyqxmd.com/read/29676536/core-networks-and-their-reconfiguration-patterns-across-cognitive-loads
#3
Nianming Zuo, Zhengyi Yang, Yong Liu, Jin Li, Tianzi Jiang
Different cognitively demanding tasks recruit globally distributed but functionally specific networks. However, the configuration of core networks and their reconfiguration patterns across cognitive loads remain unclear, as does whether these patterns are indicators for the performance of cognitive tasks. In this study, we analyzed functional magnetic resonance imaging data of a large cohort of 448 subjects, acquired with the brain at resting state and executing N-back working memory (WM) tasks. We discriminated core networks by functional interaction strength and connection flexibility...
April 20, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29675329/decreased-resting-state-brain-signal-complexity-in-patients-with-mild-cognitive-impairment-and-alzheimer-s-disease-a-multiscale-entropy-analysis
#4
Xuanyu Li, Zhaojun Zhu, Weina Zhao, Yu Sun, Dong Wen, Yunyan Xie, Xiangyu Liu, Haijing Niu, Ying Han
Multiscale entropy (MSE) analysis is a novel entropy-based analysis method for quantifying the complexity of dynamic neural signals and physiological systems across multiple temporal scales. This approach may assist in elucidating the pathophysiologic mechanisms of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD). Using resting-state fNIRS imaging, we recorded spontaneous brain activity from 31 healthy controls (HC), 27 patients with aMCI, and 24 patients with AD. The quantitative analysis of MSE revealed that reduced brain signal complexity in AD patients in several networks, namely, the default, frontoparietal, ventral and dorsal attention networks...
April 1, 2018: Biomedical Optics Express
https://www.readbyqxmd.com/read/29674739/spatial-reversal-learning-defect-coincides-with-hypersynchronous-telencephalic-bold-functional-connectivity-in-app-nl-f-nl-f-knock-in-mice
#5
Disha Shah, Amira Latif-Hernandez, Bart De Strooper, Takashi Saito, Takaomi Saido, Marleen Verhoye, Rudi D'Hooge, Annemie Van der Linden
Amyloid pathology occurs early in Alzheimer's disease (AD), and has therefore been the focus of numerous studies. Transgenic mouse models have been instrumental to study amyloidosis, but observations might have been confounded by APP-overexpression artifacts. The current study investigated early functional defects in an APP knock-in mouse model, which allows assessing the effects of pathological amyloid-beta (Aβ) without interference of APP-artifacts. Female APPNL/NL knock-in mice of 3 and 7 months old were compared to age-matched APPNL-F/NL-F mice with increased Aβ42/40 ratio and initial Aβ-plaque deposition around 6 months of age...
April 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29673968/model-order-effects-on-ica-of-resting-state-complex-valued-fmri-data-application-to-schizophrenia
#6
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Jing Sui, Vince D Calhoun
BACKGROUND: Component splitting at higher model orders is a widely accepted finding for independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. However, our recent study found that intact components occurred with subcomponents at higher model orders. NEW METHOD: This study investigated model order effects on ICA of resting-state complex-valued fMRI data from 82 subjects, which included 40 healthy controls (HCs) and 42 schizophrenia patients...
April 16, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29672091/resting-state-connectivity-dynamics-in-individuals-at-risk-for-psychosis
#7
Andrea Pelletier-Baldelli, Jessica R Andrews-Hanna, Vijay A Mittal
Clarifying dynamic fluctuations in resting-state connectivity in individuals at risk for psychosis (termed clinical high risk [CHR]) may inform understanding of psychotic disorders, such as schizophrenia, which have been associated with dysconnectivity and aberrant salience processing. Dynamic functional connectivity (DFC) investigations provide insight into how neural networks exchange information over time. Currently, there are no published DFC studies involving CHR individuals. This is notable, because understanding how networks may come together and disassociate over time could lend insight into the neural communication that underlies psychosis development and symptomatology...
April 2018: Journal of Abnormal Psychology
https://www.readbyqxmd.com/read/29671156/alteration-and-role-of-interhemispheric-and-intrahemispheric-connectivity-in-motor-network-after-stroke
#8
Jungsoo Lee, Eunhee Park, Ahee Lee, Won Hyuk Chang, Dae-Shik Kim, Yun-Hee Kim
This study investigated local and global changes in the motor network using longitudinal resting-state functional magnetic resonance imaging (rs-fMRI). Motor impairment was measured in 81 stroke patients using Fugl-Meyer assessment on the same day as rs-fMRI acquisition at both 2 weeks and 3 months post-stroke. The relationships between network measures and motor function scores were assessed. With regard to local connectivity, interhemispheric connectivity was noticeably altered at each time point. Interhemispheric connectivity was also related to residual motor function and improvement in motor function...
April 18, 2018: Brain Topography
https://www.readbyqxmd.com/read/29670825/thalamic-functional-connectivity-and-its-association-with-behavioral-performance-in-older-age
#9
Aimée Goldstone, Stephen D Mayhew, Joanne R Hale, Rebecca S Wilson, Andrew P Bagshaw
Introduction: Despite the thalamus' dense connectivity with both cortical and subcortical structures, few studies have specifically investigated how thalamic connectivity changes with age and how such changes are associated with behavior. This study investigated the effect of age on thalamo-cortical and thalamo-hippocampal functional connectivity (FC) and the association between thalamic FC and visual-spatial memory and reaction time (RT) performance in older adults. Methods: Resting-state functional magnetic resonance images were obtained from younger ( n  = 20) and older ( n  = 20) adults...
April 2018: Brain and Behavior
https://www.readbyqxmd.com/read/29668850/altered-neocortical-gene-expression-brain-overgrowth-and-functional-over-connectivity-in-chd8-haploinsufficient-mice
#10
Philipp Suetterlin, Shaun Hurley, Conor Mohan, Kimberley L H Riegman, Marco Pagani, Angela Caruso, Jacob Ellegood, Alberto Galbusera, Ivan Crespo-Enriquez, Caterina Michetti, Yohan Yee, Robert Ellingford, Olivier Brock, Alessio Delogu, Philippa Francis-West, Jason P Lerch, Maria Luisa Scattoni, Alessandro Gozzi, Cathy Fernandes, M Albert Basson
Truncating CHD8 mutations are amongst the highest confidence risk factors for autism spectrum disorder (ASD) identified to date. Here, we report that Chd8 heterozygous mice display increased brain size, motor delay, hypertelorism, pronounced hypoactivity, and anomalous responses to social stimuli. Whereas gene expression in the neocortex is only mildly affected at midgestation, over 600 genes are differentially expressed in the early postnatal neocortex. Genes involved in cell adhesion and axon guidance are particularly prominent amongst the downregulated transcripts...
April 13, 2018: Cerebral Cortex
https://www.readbyqxmd.com/read/29667272/different-brain-networks-underlying-intelligence-in-autism-spectrum-disorders
#11
Emmanuel Peng Kiat Pua, Charles B Malpas, Stephen C Bowden, Marc L Seal
There has been sustained clinical and cognitive neuroscience research interest in how network correlates of brain-behavior relationships might be altered in Autism Spectrum Disorders (ASD) and other neurodevelopmental disorders. As previous work has mostly focused on adults, the nature of whole-brain connectivity networks underlying intelligence in pediatric cohorts with abnormal neurodevelopment requires further investigation. We used network-based statistics (NBS) to examine the association between resting-state functional Magnetic Resonance Imaging (fMRI) connectivity and fluid intelligence ability in male children (n = 50) with Autism Spectrum Disorders (ASD; M = 10...
April 17, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29666960/consciousness-indexing-and-outcome-prediction-with-resting-state-eeg-in-severe-disorders-of-consciousness
#12
Sabina Stefan, Barbara Schorr, Alex Lopez-Rolon, Iris-Tatjana Kolassa, Jonathan P Shock, Martin Rosenfelder, Suzette Heck, Andreas Bender
We applied the following methods to resting-state EEG data from patients with disorders of consciousness (DOC) for consciousness indexing and outcome prediction: microstates, entropy (i.e. approximate, permutation), power in alpha and delta frequency bands, and connectivity (i.e. weighted symbolic mutual information, symbolic transfer entropy, complex network analysis). Patients with unresponsive wakefulness syndrome (UWS) and patients in a minimally conscious state (MCS) were classified into these two categories by fitting and testing a generalised linear model...
April 17, 2018: Brain Topography
https://www.readbyqxmd.com/read/29666636/modulating-brain-connectivity-by-simultaneous-dual-mode-stimulation-over-bilateral-primary-motor-cortices-in-subacute-stroke-patients
#13
Jungsoo Lee, Eunhee Park, Ahee Lee, Won Hyuk Chang, Dae-Shik Kim, Yong-Il Shin, Yun-Hee Kim
Repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS) has been used for the modulation of stroke patients' motor function. Recently, more challenging approaches have been studied. In this study, simultaneous stimulation using both rTMS and tDCS (dual-mode stimulation) over bilateral primary motor cortices (M1s) was investigated to compare its modulatory effects with single rTMS stimulation over the ipsilesional M1 in subacute stroke patients. Twenty-four patients participated; 12 participants were assigned to the dual-mode stimulation group while the other 12 participants were assigned to the rTMS-only group...
2018: Neural Plasticity
https://www.readbyqxmd.com/read/29666262/spatial-and-temporal-heterogeneity-of-neural-responses-in-human-posteromedial-cortex
#14
Amy L Daitch, Josef Parvizi
Neuroimaging evidence supports a role of the default mode network (DMN) in spontaneous thought and goal-driven internally oriented processes, such as recalling an autobiographical event, and has demonstrated its deactivation during focused, externally oriented attention. Recent work suggests that the DMN is not a homogeneous network but rather is composed of at least several subnetworks, which are engaged in distinct functions; however, it is still unclear if these different functions rely on the same neuronal populations...
April 16, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29665711/is-rest-really-rest-resting-state-functional-connectivity-during-rest-and-motor-task-paradigms
#15
Michael T Jurkiewicz, Adrian P Crawley, David J Mikulis
Numerous studies have identified the default mode network (DMN) within the brain of healthy individuals, which has been attributed to the ongoing mental activity of the brain during the wakeful resting-state. While engaged during specific resting-state fMRI paradigms, it remains unclear as to whether traditional block-design simple movement fMRI experiments significantly influence the default mode network or other areas. Using blood-oxygen level dependent (BOLD) fMRI we characterized the pattern of functional connectivity in healthy subjects during a resting-state paradigm and compared this to the same resting-state analysis performed on motor task data residual time courses after regressing out the task paradigm...
April 18, 2018: Brain Connectivity
https://www.readbyqxmd.com/read/29665699/characterizing-signals-within-lesions-and-mapping-brain-network-connectivity-after-traumatic-axonal-injury-a-7-tesla-resting-state-fmri-study
#16
Seul Lee, Jonathan R Polimeni, Collin M Price, Brian L Edlow, Jennifer A McNab
Resting-state functional magnetic resonance imaging (RS-FMRI) has been widely used to map brain functional connectivity, but it is unclear how to probe connectivity within and around lesions. Here we characterize RS-FMRI signal time-course properties and evaluate different seed placements within and around hemorrhagic traumatic axonal injury lesions. RS-FMRI was performed on a 7 Tesla scanner in a patient who recovered consciousness after traumatic coma and in three healthy controls. Eleven lesions in the patient were characterized in terms of: 1) temporal signal-to-noise ratio (tSNR); 2) physiological noise, through comparison of noise regressors derived from the white matter (WM), cerebrospinal fluid (CSF) and gray matter (GM); and 3) seed-based functional connectivity...
April 18, 2018: Brain Connectivity
https://www.readbyqxmd.com/read/29664902/a-general-prediction-model-for-the-detection-of-adhd-and-autism-using-structural-and-functional-mri
#17
Bhaskar Sen, Neil C Borle, Russell Greiner, Matthew R G Brown
This work presents a novel method for learning a model that can diagnose Attention Deficit Hyperactivity Disorder (ADHD), as well as Autism, using structural texture and functional connectivity features obtained from 3-dimensional structural magnetic resonance imaging (MRI) and 4-dimensional resting-state functional magnetic resonance imaging (fMRI) scans of subjects. We explore a series of three learners: (1) The LeFMS learner first extracts features from the structural MRI images using the texture-based filters produced by a sparse autoencoder...
2018: PloS One
https://www.readbyqxmd.com/read/29662445/dysregulation-of-pain-and-emotion-related-networks-in-trigeminal-neuralgia
#18
Yanyang Zhang, Zhiqi Mao, Longsheng Pan, Zhipei Ling, Xinyun Liu, Jun Zhang, Xinguang Yu
Classical trigeminal neuralgia (TN) is a severe neuropathic facial pain disorder associated with increased risks of anxiety and depression. Converging evidence suggests that chronic pain pathophysiology involves dysfunctional pain-related and emotion-related networks. However, whether these systems are also among the culprit networks for TN remains unclear. Here, we aimed to assess TN-related anatomical and functional brain anomalies in pain-related and emotion-related networks. We investigated differences in gray matter (GM) volume and the related resting-state functional connectivity (rsFC) between 29 classical TN patients and 34 matched healthy controls...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29662444/distinctive-correspondence-between-separable-visual-attention-functions-and-intrinsic-brain-networks
#19
Adriana L Ruiz-Rizzo, Julia Neitzel, Hermann J Müller, Christian Sorg, Kathrin Finke
Separable visual attention functions are assumed to rely on distinct but interacting neural mechanisms. Bundesen's "theory of visual attention" (TVA) allows the mathematical estimation of independent parameters that characterize individuals' visual attentional capacity (i.e., visual processing speed and visual short-term memory storage capacity) and selectivity functions (i.e., top-down control and spatial laterality). However, it is unclear whether these parameters distinctively map onto different brain networks obtained from intrinsic functional connectivity, which organizes slowly fluctuating ongoing brain activity...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29662443/emotion-regulation-and-complex-brain-networks-association-between-expressive-suppression-and-efficiency-in-the-fronto-parietal-network-and-default-mode-network
#20
Junhao Pan, Liying Zhan, ChuanLin Hu, Junkai Yang, Cong Wang, Li Gu, Shengqi Zhong, Yingyu Huang, Qian Wu, Xiaolin Xie, Qijin Chen, Hui Zhou, Miner Huang, Xiang Wu
Emotion regulation (ER) refers to the "implementation of a conscious or non-conscious goal to start, stop or otherwise modulate the trajectory of an emotion" (Etkin et al., 2015). Whereas multiple brain areas have been found to be involved in ER, relatively little is known about whether and how ER is associated with the global functioning of brain networks. Recent advances in brain connectivity research using graph-theory based analysis have shown that the brain can be organized into complex networks composed of functionally or structurally connected brain areas...
2018: Frontiers in Human Neuroscience
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