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independent component analysis fMRI

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https://www.readbyqxmd.com/read/28434159/decreased-hemispheric-connectivity-and-decreased-intra-and-inter-hemisphere-asymmetry-of-resting-state-functional-network-connectivity-in-schizophrenia
#1
O Agcaoglu, R Miller, E Damaraju, B Rashid, J Bustillo, M S Cetin, T G M Van Erp, S McEwen, A Preda, J M Ford, K O Lim, D S Manoach, D H Mathalon, S G Potkin, V D Calhoun
Many studies have shown that schizophrenia patients have aberrant functional network connectivity (FNC) among brain regions, suggesting schizophrenia manifests with significantly diminished (in majority of the cases) connectivity. Schizophrenia is also associated with a lack of hemispheric lateralization. Hoptman et al. (2012) reported lower inter-hemispheric connectivity in schizophrenia patients compared to controls using voxel-mirrored homotopic connectivity. In this study, we merge these two points of views together using a group independent component analysis (gICA)-based approach to generate hemisphere-specific timecourses and calculate intra-hemisphere and inter-hemisphere FNC on a resting state fMRI dataset consisting of age- and gender-balanced 151 schizophrenia patients and 163 healthy controls...
April 22, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28418398/intranasal-oxytocin-enhances-intrinsic-corticostriatal-functional-connectivity-in-women
#2
R A I Bethlehem, M V Lombardo, M-C Lai, B Auyeung, S K Crockford, J Deakin, S Soubramanian, A Sule, P Kundu, V Voon, S Baron-Cohen
Oxytocin may influence various human behaviors and the connectivity across subcortical and cortical networks. Previous oxytocin studies are male biased and often constrained by task-based inferences. Here, we investigate the impact of oxytocin on resting-state connectivity between subcortical and cortical networks in women. We collected resting-state functional magnetic resonance imaging (fMRI) data on 26 typically developing women 40 min following intranasal oxytocin administration using a double-blind placebo-controlled crossover design...
April 18, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28403175/altered-cortical-and-subcortical-connectivity-due-to-infrasound-administered-near-the-hearing-threshold-evidence-from-fmri
#3
Markus Weichenberger, Martin Bauer, Robert Kühler, Johannes Hensel, Caroline Garcia Forlim, Albrecht Ihlenfeld, Bernd Ittermann, Jürgen Gallinat, Christian Koch, Simone Kühn
In the present study, the brain's response towards near- and supra-threshold infrasound (IS) stimulation (sound frequency < 20 Hz) was investigated under resting-state fMRI conditions. The study involved two consecutive sessions. In the first session, 14 healthy participants underwent a hearing threshold-as well as a categorical loudness scaling measurement in which the individual loudness perception for IS was assessed across different sound pressure levels (SPL). In the second session, these participants underwent three resting-state acquisitions, one without auditory stimulation (no-tone), one with a monaurally presented 12-Hz IS tone (near-threshold) and one with a similar tone above the individual hearing threshold corresponding to a 'medium loud' hearing sensation (supra-threshold)...
2017: PloS One
https://www.readbyqxmd.com/read/28400737/reduced-resting-state-functional-connectivity-in-current-and-recovered-restrictive-anorexia-nervosa
#4
Jessica Clare Scaife, Lauren Rose Godier, Nicola Filippini, Catherine J Harmer, Rebecca J Park
Functional connectivity studies based on resting-state functional magnetic resonance imaging (rs-fMRI) have shown alterations in brain networks associated with self-referential processing, cognitive control, and somatosensory processing in anorexia nervosa (AN). This study aimed to further investigate the functional connectivity of resting-state networks (RSNs) in homogenous subsamples of individuals with restrictive AN (current and recovered) and the relationship this has with core eating disorder psychopathology...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28391039/divergent-functional-connectivity-during-attentional-processing-in-lewy-body-dementia-and-alzheimer-s-disease
#5
Xenia Kobeleva, Michael Firbank, Luis Peraza, Peter Gallagher, Alan Thomas, David J Burn, John O'Brien, John-Paul Taylor
Attention and executive dysfunction are features of Lewy body dementia (LBD) but their neuroanatomical basis is poorly understood. To investigate underlying dysfunctional attention-executive network (EXEC) interactions, we examined functional connectivity (FC) in 30 patients with LBD, 20 patients with Alzheimer's disease (AD), and 21 healthy controls during an event-related functional magnetic resonance imaging (fMRI) experiment. Participants performed a modified Attention Network Test (ANT), where they were instructed to press a button in response to the majority direction of arrows, which were either all pointing in the same direction or with one pointing in the opposite direction...
March 18, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28390165/default-mode-and-task-positive-networks-connectivity-during-the-n-back-task-in-remitted-depressed-patients-with-or-without-emotional-residual-symptoms
#6
Pauline Delaveau, Tiago Arruda Sanchez, Ricardo Steffen, Karine Deschet, Maritza Jabourian, Vincent Perlbarg, Emerson Leandro Gasparetto, Stéphanie Dubal, Jorge Costa E Silva, Philippe Fossati
Clinical remission of depression may be associated with emotional residual symptoms. We studied the association of emotional blunting, rumination with neural networks dynamics in remitted depressed patients and cognitive performance during an N-Back task. Twenty-six outpatients in remission of depression (Hamilton Depressive rating scale score <7) performed an N-Back task during fMRI assessment. All patients had been treated by paroxetine for a minimum of 4 months. Two subgroups of patients [Nonemotionally blunted (NEB) = 14 and emotionally blunted (EB) = 12] were determined...
April 8, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28383052/high-transition-frequencies-of-dynamic-functional-connectivity-states-in-the-creative-brain
#7
Junchao Li, Delong Zhang, Aiying Liang, Bishan Liang, Zengjian Wang, Yuxuan Cai, Mengxia Gao, Zhenni Gao, Song Chang, Bingqing Jiao, Ruiwang Huang, Ming Liu
Creativity is thought to require the flexible reconfiguration of multiple brain regions that interact in transient and complex communication patterns. In contrast to prior emphases on searching for specific regions or networks associated with creative performance, we focused on exploring the association between the reconfiguration of dynamic functional connectivity states and creative ability. We hypothesized that a high frequency of dynamic functional connectivity state transitions will be associated with creative ability...
April 6, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28367256/investigating-differences-in-brain-functional-networks-using-hierarchical-covariate-adjusted-independent-component-analysis
#8
Ran Shi, Ying Guo
Human brains perform tasks via complex functional networks consisting of separated brain regions. A popular approach to characterize brain functional networks in fMRI studies is independent component analysis (ICA), which is a powerful method to reconstruct latent source signals from their linear mixtures. In many fMRI studies, an important goal is to investigate how brain functional networks change according to specific clinical and demographic variabilities. Existing ICA methods, however, cannot directly incorporate covariate effects in ICA decomposition...
December 2016: Annals of Applied Statistics
https://www.readbyqxmd.com/read/28364005/presurgical-brain-mapping-of-the-ventral-somatomotor-network-in-patients-with-brain-tumors-using-resting-state-fmri
#9
N Yahyavi-Firouz-Abadi, J J Pillai, M A Lindquist, V D Calhoun, S Agarwal, R D Airan, B Caffo, B Gujar, H I Sair
BACKGROUND AND PURPOSE: Resting-state fMRI readily identifies the dorsal but less consistently the ventral somatomotor network. Our aim was to assess the relative utility of resting-state fMRI in the identification of the ventral somatomotor network via comparison with task-based fMRI in patients with brain tumor. MATERIALS AND METHODS: We identified 26 surgically na|fkve patients referred for presurgical fMRI brain mapping who had undergone both satisfactory ventral motor activation tasks and resting-state fMRI...
March 31, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28363450/a-new-method-for-independent-component-analysis-with-priori-information-based-on-multi-objective-optimization
#10
Yuhu Shi, Weiming Zeng, Nizhuan Wang, Le Zhao
BACKGROUND: Currently the problem of incorporating priori information into an independent component analysis (ICA) model is often solved under the framework of constrained ICA, which utilizes the priori information as a reference signal to form a constraint condition and then introduce it into classical ICA. However, it is difficult to pre-determine a suitable threshold parameter to constrain the closeness between the output signal and the reference signal in the constraint condition...
March 29, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28353559/hyperactivity-of-the-default-mode-network-in-first-episode-drug-naive-schizophrenia-at-rest-revealed-by-family-based-case-control-and-traditional-case-control-designs
#11
Wenbin Guo, Feng Liu, Jindong Chen, Renrong Wu, Lehua Li, Zhikun Zhang, Huafu Chen, Jingping Zhao
Abnormal regional activity and functional connectivity of the default-mode network (DMN) have been reported in schizophrenia. However, previous studies may have been biased by unmatched case-control design. To limit such bias, the present study used both the family-based case-control design and the traditional case-control design to investigate abnormal regional activity of the DMN in patients with schizophrenia at rest.Twenty-eight first-episode, drug-naive patients with schizophrenia, 28 age-, sex-matched unaffected siblings of the patients (family-based controls, FBC), and 40 healthy controls (HC) underwent resting-state functional magnetic resonance imaging (fMRI) scans...
March 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28348512/using-dual-regression-to-investigate-network-shape-and-amplitude-in-functional-connectivity-analyses
#12
Lisa D Nickerson, Stephen M Smith, Döst Öngür, Christian F Beckmann
Independent Component Analysis (ICA) is one of the most popular techniques for the analysis of resting state FMRI data because it has several advantageous properties when compared with other techniques. Most notably, in contrast to a conventional seed-based correlation analysis, it is model-free and multivariate, thus switching the focus from evaluating the functional connectivity of single brain regions identified a priori to evaluating brain connectivity in terms of all brain resting state networks (RSNs) that simultaneously engage in oscillatory activity...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28334131/pca-leverage-outlier-detection-for-high-dimensional-functional-magnetic-resonance-imaging-data
#13
Amanda F Mejia, Mary Beth Nebel, Ani Eloyan, Brian Caffo, Martin A Lindquist
Outlier detection for high-dimensional (HD) data is a popular topic in modern statistical research. However, one source of HD data that has received relatively little attention is functional magnetic resonance images (fMRI), which consists of hundreds of thousands of measurements sampled at hundreds of time points. At a time when the availability of fMRI data is rapidly growing-primarily through large, publicly available grassroots datasets-automated quality control and outlier detection methods are greatly needed...
February 27, 2017: Biostatistics
https://www.readbyqxmd.com/read/28333636/sequential-dictionary-learning-from-correlated-data-application-to-fmri-data-analysis
#14
Abd-Krim Seghouane, Asif Iqbal
Sequential dictionary learning via the K-SVD algorithm has been revealed as a successful alternative to conventional data driven methods such as independent component analysis (ICA) for functional magnetic resonance imaging (fMRI) data analysis. fMRI datasets are however structured data matrices with notions of spatio-temporal correlation and temporal smoothness. This prior information has not been included in the K-SVD algorithm when applied to fMRI data analysis. In this paper we propose three variants of the K-SVD algorithm dedicated to fMRI data analysis by accounting for this prior information...
March 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28325028/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#15
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/28325027/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#16
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/28322859/decoding-the-encoding-of-functional-brain-networks-an-fmri-classification-comparison-of-non-negative-matrix-factorization-nmf-independent-component-analysis-ica-and-sparse-coding-algorithms
#17
Jianwen Xie, Pamela K Douglas, Ying Nian Wu, Arthur L Brody, Ariana E Anderson
BACKGROUND: Brain networks in fMRI are typically identified using spatial independent component analysis (ICA), yet other mathematical constraints provide alternate biologically-plausible frameworks for generating brain networks. Non-negative matrix factorization (NMF) would suppress negative BOLD signal by enforcing positivity. Spatial sparse coding algorithms (L1 Regularized Learning and K-SVD) would impose local specialization and a discouragement of multitasking, where the total observed activity in a single voxel originates from a restricted number of possible brain networks...
April 15, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28295280/structural-and-functional-connectivity-in-children-and-adolescents-with-and-without-attention-deficit-hyperactivity-disorder
#18
Dienke J Bos, Bob Oranje, Michelle Achterberg, Chantal Vlaskamp, Sara Ambrosino, Marcel A de Reus, Martijn P van den Heuvel, Serge A R B Rombouts, Sarah Durston
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) has frequently been associated with changes in resting-state functional connectivity, and decreased white matter (WM) integrity. In the current study, we investigated functional connectivity within Default Mode and frontal control resting-state networks (RSNs) in children with and without ADHD. We hypothesized the RSNs of interest would show a pattern of impaired functional integration and segregation and corresponding changes in WM structure...
March 10, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28294459/identifying-dynamic-functional-connectivity-biomarkers-using-gig-ica-application-to-schizophrenia-schizoaffective-disorder-and-psychotic-bipolar-disorder
#19
Yuhui Du, Godfrey D Pearlson, Dongdong Lin, Jing Sui, Jiayu Chen, Mustafa Salman, Carol A Tamminga, Elena I Ivleva, John A Sweeney, Matcheri S Keshavan, Brett A Clementz, Juan Bustillo, Vince D Calhoun
Functional magnetic resonance imaging (fMRI) studies have shown altered brain dynamic functional connectivity (DFC) in mental disorders. Here, we aim to explore DFC across a spectrum of symptomatically-related disorders including bipolar disorder with psychosis (BPP), schizoaffective disorder (SAD), and schizophrenia (SZ). We introduce a group information guided independent component analysis procedure to estimate both group-level and subject-specific connectivity states from DFC. Using resting-state fMRI data of 238 healthy controls (HCs), 140 BPP, 132 SAD, and 113 SZ patients, we identified measures differentiating groups from the whole-brain DFC and traditional static functional connectivity (SFC), separately...
May 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28293468/a-method-for-independent-component-graph-analysis-of-resting-state-fmri
#20
Demetrius Ribeiro de Paula, Erik Ziegler, Pubuditha M Abeyasinghe, Tushar K Das, Carlo Cavaliere, Marco Aiello, Lizette Heine, Carol di Perri, Athena Demertzi, Quentin Noirhomme, Vanessa Charland-Verville, Audrey Vanhaudenhuyse, Johan Stender, Francisco Gomez, Jean-Flory L Tshibanda, Steven Laureys, Adrian M Owen, Andrea Soddu
INTRODUCTION: Independent component analysis (ICA) has been extensively used for reducing task-free BOLD fMRI recordings into spatial maps and their associated time-courses. The spatially identified independent components can be considered as intrinsic connectivity networks (ICNs) of non-contiguous regions. To date, the spatial patterns of the networks have been analyzed with techniques developed for volumetric data. OBJECTIVE: Here, we detail a graph building technique that allows these ICNs to be analyzed with graph theory...
March 2017: Brain and Behavior
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