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independent component analysis fMRI

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https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#1
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#2
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#3
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28220083/risperidone-effects-on-brain-dynamic-connectivity-a-prospective-resting-state-fmri-study-in-schizophrenia
#4
Kristin K Lottman, Nina V Kraguljac, David M White, Charity J Morgan, Vince D Calhoun, Allison Butt, Adrienne C Lahti
Resting-state functional connectivity studies in schizophrenia evaluating average connectivity over the entire experiment have reported aberrant network integration, but findings are variable. Examining time-varying (dynamic) functional connectivity may help explain some inconsistencies. We assessed dynamic network connectivity using resting-state functional MRI in patients with schizophrenia, while unmedicated (n = 34), after 1 week (n = 29) and 6 weeks of treatment with risperidone (n = 24), as well as matched controls at baseline (n = 35) and after 6 weeks (n = 19)...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28214528/adaptive-independent-vector-analysis-for-multi-subject-complex-valued-fmri-data
#5
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D Calhoun
BACKGROUND: Complex-valued fMRI data can provide additional insights beyond magnitude-only data. However, independent vector analysis (IVA), which has exhibited great potential for group analysis of magnitude-only fMRI data, has rarely been applied to complex-valued fMRI data. The main challenges in this application include the extremely noisy nature and large variability of the source component vector (SCV) distribution. NEW METHOD: To address these challenges, we propose an adaptive fixed-point IVA algorithm for analyzing multiple-subject complex-valued fMRI data...
February 15, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28214015/anomalous-network-architecture-of-the-resting-brain-in-children-who-stutter
#6
Soo-Eun Chang, Michael Angstadt, Ho Ming Chow, Andrew C Etchell, Emily O Garnett, Ai Leen Choo, Daniel Kessler, Robert C Welsh, Chandra Sripada
PURPOSE: We combined a large longitudinal neuroimaging dataset that includes children who do and do not stutter and a whole-brain network analysis in order to examine the intra- and inter-network connectivity changes associated with stuttering. Additionally, we asked whether whole brain connectivity patterns observed at the initial year of scanning could predict persistent stuttering in later years. METHODS: A total of 224 high-quality resting state fMRI scans collected from 84 children (42 stuttering, 42 controls) were entered into an independent component analysis (ICA), yielding a number of distinct network connectivity maps ("components") as well as expression scores for each component that quantified the degree to which it is expressed for each child...
January 25, 2017: Journal of Fluency Disorders
https://www.readbyqxmd.com/read/28207751/flavor-pleasantness-processing-in-the-ventral-emotion-network
#7
Jelle R Dalenberg, Liselore Weitkamp, Remco J Renken, Luca Nanetti, Gert J Ter Horst
The ventral emotion network-encompassing the amygdala, insula, ventral striatum, and ventral regions of the prefrontal cortex-has been associated with the identification of emotional significance of perceived external stimuli and the production of affective states. Functional magnetic resonance imaging (fMRI) studies investigating chemosensory stimuli have associated parts of this network with pleasantness coding. In the current study, we independently analyzed two datasets in which we measured brain responses to flavor stimuli in young adult men...
2017: PloS One
https://www.readbyqxmd.com/read/28185050/a-unified-canonical-correlation-analysis-based-framework-for-removing-gradient-artifact-in-concurrent-eeg-fmri-recording-and-motion-artifact-in-walking-recording-from-eeg-signal
#8
Junhua Li, Yu Chen, Fumihiko Taya, Julian Lim, Kianfoong Wong, Yu Sun, Anastasios Bezerianos
Artifacts cause distortion and fuzziness in electroencephalographic (EEG) signal and hamper EEG analysis, so it is necessary to remove them prior to the analysis. Particularly, artifact removal becomes a critical issue in experimental protocols with significant inherent recording noise, such as mobile EEG recordings and concurrent EEG-fMRI acquisitions. In this paper, we proposed a unified framework based on canonical correlation analysis for artifact removal. Raw signals were reorganized to construct a pair of matrices, based on which sources were sought through maximizing autocorrelation...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28176434/network-level-assessment-of-reward-related-activation-in-patients-with-adhd-and-healthy-individuals
#9
Daniel von Rhein, Christian F Beckmann, Barbara Franke, Jaap Oosterlaan, Dirk J Heslenfeld, Pieter J Hoekstra, Catharina A Hartman, Marjolein Luman, Stephen V Faraone, Roshan Cools, Jan K Buitelaar, Maarten Mennes
INTRODUCTION: Reward processing is a key aspect of cognitive control processes, putatively instantiated by mesolimbic and mesocortical brain circuits. Deficient signaling within these circuits has been associated with psychopathology. We applied a network discovery approach to assess specific functional networks associated with reward processing in participants with attention-deficit/hyperactivity disorder (ADHD). METHODS: To describe task-related processes in terms of integrated functional networks, we applied independent component analysis (ICA) to task response maps of 60 healthy participants who performed a monetary incentive delay (MID) task...
February 8, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28160660/altered-default-mode-fronto-parietal-and-salience-networks-in-adolescents-with-internet-addiction
#10
Lubin Wang, Hui Shen, Yu Lei, Ling-Li Zeng, Fenglin Cao, Linyan Su, Zheng Yang, Shuqiao Yao, Dewen Hu
Internet addiction (IA) is a condition characterized by loss of control over Internet use, leading to a variety of negative psychosocial consequences. Recent neuroimaging studies have begun to identify IA-related changes in specific brain regions and connections. However, whether and how the interactions within and between the large-scale brain networks are disrupted in individuals with IA remain largely unexplored. Using group independent component analysis, we extracted five intrinsic connectivity networks (ICNs) from the resting-state fMRI data of 26 adolescents with IA and 43 controls, including the anterior and posterior default mode network (DMN), left and right fronto-parietal network (FPN), and salience network (SN)...
January 15, 2017: Addictive Behaviors
https://www.readbyqxmd.com/read/28129397/graph-analysis-of-functional-brain-networks-in-patients-with-mild-traumatic-brain-injury
#11
Harm J van der Horn, Edith J Liemburg, Myrthe E Scheenen, Myrthe E de Koning, Jacoba M Spikman, Joukje van der Naalt
Mild traumatic brain injury (mTBI) is one of the most common neurological disorders worldwide. Posttraumatic complaints are frequently reported, interfering with outcome. However, a consistent neural substrate has not yet been found. We used graph analysis to further unravel the complex interactions between functional brain networks, complaints, anxiety and depression in the sub-acute stage after mTBI. This study included 54 patients with uncomplicated mTBI and 20 matched healthy controls. Posttraumatic complaints, anxiety and depression were measured at two weeks post-injury...
2017: PloS One
https://www.readbyqxmd.com/read/28116239/characterization-of-functional-brain-activity-and-connectivity-using-eeg-and-fmri-in-patients-with-sickle-cell-disease
#12
Michelle Case, Huishi Zhang, John Mundahl, Yvonne Datta, Stephen Nelson, Kalpna Gupta, Bin He
Sickle cell disease (SCD) is a red blood cell disorder that causes many complications including life-long pain. Treatment of pain remains challenging due to a poor understanding of the mechanisms and limitations to characterize and quantify pain. In the present study, we examined simultaneously recording functional MRI (fMRI) and electroencephalogram (EEG) to better understand neural connectivity as a consequence of chronic pain in SCD patients. We performed independent component analysis and seed-based connectivity on fMRI data...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28111190/increased-sensitivity-to-age-related-differences-in-brain-functional-connectivity-during-continuous-multiple-object-tracking-compared-to-resting-state
#13
Erlend S Dørum, Tobias Kaufmann, Dag Alnæs, Ole A Andreassen, Geneviève Richard, Knut K Kolskår, Jan Egil Nordvik, Lars T Westlye
Age-related differences in cognitive agility vary greatly between individuals and cognitive functions. This heterogeneity is partly mirrored in individual differences in brain network connectivity as revealed using resting-state functional magnetic resonance imaging (fMRI), suggesting potential imaging biomarkers for age-related cognitive decline. However, although convenient in its simplicity, the resting state is essentially an unconstrained paradigm with minimal experimental control. Here, based on the conception that the magnitude and characteristics of age-related differences in brain connectivity is dependent on cognitive context and effort, we tested the hypothesis that experimentally increasing cognitive load boosts the sensitivity to age and changes the discriminative network configurations...
January 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28088482/combined-spatiotemporal-ica-stica-for-continuous-and-dynamic-lag-structure-analysis-of-mreg-data
#14
Ville Raatikainen, Niko Huotari, Vesa Korhonen, Aleksi Rasila, Janne Kananen, Lauri Raitamaa, Tuija Keinänen, Jussi Kantola, Osmo Tervonen, Vesa Kiviniemi
This study investigated lag structure in the resting-state fMRI by applying a novel independent component (ICA) method to magnetic resonance encephalography (MREG) data. Briefly, the spatial ICA (sICA) was used for defining the frontal and back nodes of the default mode network (DMN), and the temporal ICA (tICA), which is enabled by the high temporal resolution of MREG (TR=100ms), was used to separate both neuronal and physiological components of these two spatial map regions. Subsequently, lag structure was investigated between the frontal (DMNvmpf) and posterior (DMNpcc) DMN nodes using both conventional method with all-time points and a sliding-window approach...
January 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28074926/disrupted-global-metastability-and-static-and-dynamic-brain-connectivity-across-individuals-in-the-alzheimer-s-disease-continuum
#15
Aldo Córdova-Palomera, Tobias Kaufmann, Karin Persson, Dag Alnæs, Nhat Trung Doan, Torgeir Moberget, Martina Jonette Lund, Maria Lage Barca, Andreas Engvig, Anne Brækhus, Knut Engedal, Ole A Andreassen, Geir Selbæk, Lars T Westlye
As findings on the neuropathological and behavioral components of Alzheimer's disease (AD) continue to accrue, converging evidence suggests that macroscale brain functional disruptions may mediate their association. Recent developments on theoretical neuroscience indicate that instantaneous patterns of brain connectivity and metastability may be a key mechanism in neural communication underlying cognitive performance. However, the potential significance of these patterns across the AD spectrum remains virtually unexplored...
January 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28059709/microstructure-of-the-default-mode-network-in-preterm-infants
#16
J Cui, O Tymofiyeva, R Desikan, T Flynn, H Kim, D Gano, C P Hess, D M Ferriero, A J Barkovich, D Xu
BACKGROUND AND PURPOSE: Diffusion and fMRI has been providing insights to brain development in addition to anatomic imaging. This study aimed to evaluate the microstructure of white matter tracts underlying the default mode network in premature infants by using resting-state functional MR imaging in conjunction with diffusion tensor imaging-based tractography. MATERIALS AND METHODS: A cohort of 44 preterm infants underwent structural T1-weighted imaging, resting-state fMRI, and DTI at 3T, including 21 infants with brain injuries and 23 infants with normal-appearing structural imaging as controls...
February 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28056453/reduction-of-motion-artifacts-and-noise-using-independent-component-analysis-in-task-based-functional-mri-for-preoperative-planning-in-patients-with-brain-tumor
#17
E H Middlebrooks, C J Frost, I S Tuna, I M Schmalfuss, M Rahman, A Old Crow
BACKGROUND AND PURPOSE: Although it is a potentially powerful presurgical tool, fMRI can be fraught with artifacts, leading to interpretive errors, many of which are not fully accounted for in routinely applied correction methods. The purpose of this investigation was to evaluate the effects of data denoising by independent component analysis in patients undergoing preoperative evaluation for glioma resection compared with more routinely applied correction methods such as realignment or motion scrubbing...
November 10, 2016: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28041978/functional-anatomy-of-the-human-thalamus-at-rest
#18
Vinod Jangir Kumar, Erik van Oort, Klaus Scheffler, Christian F Beckmann, Wolfgang Grodd
In the present work, we used resting state-fMRI to investigate the functional anatomy of the thalamus at rest by applying an Independent Component Analysis to delineate thalamic substructures into stable and reproducible parcels for the left and right thalamus. We determined 15 functionally distinct thalamic parcels, which differed in laterality and size but exhibited a correspondence with 18 cytoarchitectonally defined nuclei. We characterized their structural connectivity in determining DWI based cortical fiber pathways and found selected projections to different cortical areas...
February 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28031996/structural-and-functional-neural-correlates-of-spatial-navigation-a-combined-voxel-based-morphometry-and-functional-connectivity-study
#19
Xin Hao, Yi Huang, Xueting Li, Yiying Song, Xiangzhen Kong, Xu Wang, Zetian Yang, Zonglei Zhen, Jia Liu
INTRODUCTION: Navigation is a fundamental and multidimensional cognitive function that individuals rely on to move around the environment. In this study, we investigated the neural basis of human spatial navigation ability. METHODS: A large cohort of participants (N > 200) was examined on their navigation ability behaviorally and structural and functional magnetic resonance imaging (MRI) were then used to explore the corresponding neural basis of spatial navigation...
December 2016: Brain and Behavior
https://www.readbyqxmd.com/read/28011171/mental-rotation-task-specifically-modulates-functional-connectivity-strength-of-intrinsic-brain-activity-in-low-frequency-domains-a-maximum-uncertainty-linear-discriminant-analysis
#20
Mengxia Gao, Delong Zhang, Zengjian Wang, Bishan Liang, Yuxuan Cai, Zhenni Gao, Junchao Li, Song Chang, Bingqing Jiao, Ruiwang Huang, Ming Liu
Neuroimaging studies have highlighted that intrinsic brain activity is modified to implement task demands. However, the relation between mental rotation and intrinsic brain activity remains unclear. To answer this question, we collected functional MRI (fMRI) data from 30 healthy participants in two mental rotation task periods (1st-task state, 2nd-task state) and two rest periods before (pre-task resting state) and after the task (post-task resting state) respectively. By combining the spatial independent component analysis (ICA) and voxel-wise functional connectivity strength (FCS), we identified FCS maps of 10 brain resting state networks (RSNs) within six different bands (i...
December 20, 2016: Behavioural Brain Research
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