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independent component analysis fMRI

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https://www.readbyqxmd.com/read/28734059/localized-reductions-in-resting-state-functional-connectivity-in-children-with-prenatal-alcohol-exposure
#1
Jia Fan, Paul A Taylor, Sandra W Jacobson, Christopher D Molteno, Suril Gohel, Bharat B Biswal, Joseph L Jacobson, Ernesta M Meintjes
Fetal alcohol spectrum disorders (FASD) are characterized by impairment in cognitive function that may or may not be accompanied by craniofacial anomalies, microcephaly, and/or growth retardation. Resting-state functional MRI (rs-fMRI), which examines the low-frequency component of the blood oxygen level dependent (BOLD) signal in the absence of an explicit task, provides an efficient and powerful mechanism for studying functional brain networks even in low-functioning and young subjects. Studies using independent component analysis (ICA) have identified a set of resting-state networks (RSNs) that have been linked to distinct domains of cognitive and perceptual function, which are believed to reflect the intrinsic functional architecture of the brain...
July 22, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28733834/long-term-intensive-gymnastic-training-induced-changes-in-intra-and-inter-network-functional-connectivity-an-independent-component-analysis
#2
Huiyuan Huang, Junjing Wang, Carol Seger, Min Lu, Feng Deng, Xiaoyan Wu, Yuan He, Chen Niu, Jun Wang, Ruiwang Huang
Long-term intensive gymnastic training can induce brain structural and functional reorganization. Previous studies have identified structural and functional network differences between world class gymnasts (WCGs) and non-athletes at the whole-brain level. However, it is still unclear how interactions within and between functional networks are affected by long-term intensive gymnastic training. We examined both intra- and inter-network functional connectivity of gymnasts relative to non-athletes using resting-state fMRI (R-fMRI)...
July 21, 2017: Brain Structure & Function
https://www.readbyqxmd.com/read/28716718/multivariate-pattern-analysis-of-meg-and-eeg-a-comparison-of-representational-structure-in-time-and-space
#3
Radoslaw Martin Cichy, Dimitrios Pantazis
Multivariate pattern analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG and EEG have systematic differences in sampling neural activity. This poses the question to which degree such measurement differences consistently bias the results of multivariate analysis applied to MEG and EEG activation patterns. To investigate, we conducted a concurrent MEG/EEG study while participants viewed images of everyday objects...
July 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28712063/resisting-sleep-pressure-impact-on-resting-state-functional-network-connectivity
#4
Laura Tüshaus, Joshua Henk Balsters, Anthony Schläpfer, Daniel Brandeis, Ruth O'Gorman Tuura, Peter Achermann
In today's 24/7 society, sleep restriction is a common phenomenon which leads to increased levels of sleep pressure in daily life. However, the magnitude and extent of impairment of brain functioning due to increased sleep pressure is still not completely understood. Resting state network (RSN) analyses have become increasingly popular because they allow us to investigate brain activity patterns in the absence of a specific task and to identify changes under different levels of vigilance (e.g. due to increased sleep pressure)...
July 15, 2017: Brain Topography
https://www.readbyqxmd.com/read/28708547/multimodal-fusion-with-reference-searching-for-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#5
Shile Qi, Vince D Calhoun, Theo G M van Erp, Juan Bustillo, Eswar Damaraju, Jessica A Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, Tianzi Jiang, Jing Sui
By exploiting cross-information among multiple imaging data, multimodal fusion has often been used to better understand brain diseases. However, most current fusion approaches are blind, without adopting any prior information. There is increasing interest to uncover the neurocognitive mapping of specific clinical measurements on enriched brain imaging data; hence, a supervised, goal-directed model that employs prior information as a reference to guide multimodal data fusion is much needed and becomes a natural option...
July 11, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28707568/effects-of-transcranial-direct-current-stimulation-on-neural-network-structure-in-young-and-older-adults
#6
Andrew Martin, Marcus Meinzer, Robert Lindenberg, Mira M Sieg, Laura Nachtigall, Agnes Flöel
Transcranial direct current stimulation (tDCS) may be a viable tool to improve motor and cognitive function in advanced age. However, although a number of studies have demonstrated improved cognitive performance in older adults, other studies have failed to show restorative effects. The neural effects of beneficial stimulation response in both age groups is lacking. In the current study, tDCS was administered during simultaneous fMRI in 42 healthy young and older participants. Semantic word generation and motor speech baseline tasks were used to investigate behavioral and neural effects of uni- and bihemispheric motor cortex tDCS in a three-way, crossover, sham tDCS controlled design...
July 14, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28697386/alterations-in-functional-brain-networks-associated-with-loss-chasing-in-gambling-disorder-and-cocaine-use-disorder
#7
Patrick D Worhunsky, Marc N Potenza, Robert D Rogers
BACKGROUND: Continued, persistent gambling to recover accumulating losses, or 'loss-chasing', is a behavioral pattern linked particularly closely to gambling disorder (GD) but may reflect impaired decision-making processes relevant to drug addictions like cocaine-use disorder (CUD). However, little is known regarding the neurocognitive mechanisms of this complex, maladaptive behavior, particularly in individuals with addictive disorders. METHODS: Seventy participants (25 GD, 18 CUD, and 27 healthy comparison (HC)) completed a loss-chase task during fMRI...
June 28, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28686788/influence-of-physiological-noise-on-accelerated-2d-and-3d-resting-state-functional-mri-data-at-7%C3%A2-t
#8
Olivier Reynaud, João Jorge, Rolf Gruetter, José P Marques, Wietske van der Zwaag
PURPOSE: Physiological noise often dominates the blood-oxygen level-dependent (BOLD) signal fluctuations in high-field functional MRI (fMRI) data. Therefore, to optimize fMRI protocols, it becomes crucial to investigate how physiological signal fluctuations impact various acquisition and reconstruction schemes at different acquisition speeds. In particular, further differences can arise between 2D and 3D fMRI acquisitions due to different encoding strategies, thereby impacting fMRI sensitivity in potentially significant ways...
July 7, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28678737/functional-brain-mri-in-patients-complaining-of-electrohypersensitivity-after-long-term-exposure-to-electromagnetic-fields
#9
Gunnar Heuser, Sylvia A Heuser
INTRODUCTION: Ten adult patients with electromagnetic hypersensitivity underwent functional magnetic resonance imaging (fMRI) brain scans. All scans were abnormal with abnormalities which were consistent and similar. It is proposed that fMRI brain scans be used as a diagnostic aid for determining whether or not a patient has electromagnetic hypersensitivity. Over the years we have seen an increasing number of patients who had developed multi system complaints after long term repeated exposure to electromagnetic fields (EMFs)...
July 5, 2017: Reviews on Environmental Health
https://www.readbyqxmd.com/read/28660668/fmri-capture-of-auditory-hallucinations-validation-of-the-two-steps-method
#10
Arnaud Leroy, Jack R Foucher, Delphine Pins, Christine Delmaire, Pierre Thomas, Mathilde M Roser, Stéphanie Lefebvre, Ali Amad, Thomas Fovet, Nemat Jaafari, Renaud Jardri
Our purpose was to validate a reliable method to capture brain activity concomitant with hallucinatory events, which constitute frequent and disabling experiences in schizophrenia. Capturing hallucinations using functional magnetic resonance imaging (fMRI) remains very challenging. We previously developed a method based on a two-steps strategy including (1) multivariate data-driven analysis of per-hallucinatory fMRI recording and (2) selection of the components of interest based on a post-fMRI interview. However, two tests still need to be conducted to rule out critical pitfalls of conventional fMRI capture methods before this two-steps strategy can be adopted in hallucination research: replication of these findings on an independent sample and assessment of the reliability of the hallucination-related patterns at the subject level...
June 28, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28656805/verbal-working-memory-related-functional-connectivity-alterations-in-boys-with-attention-deficit-hyperactivity-disorder-and-the-effects-of-methylphenidate
#11
Zhao-Min Wu, Janita Bralten, Li An, Qing-Jiu Cao, Xiao-Hua Cao, Li Sun, Lu Liu, Li Yang, Maarten Mennes, Yu-Feng Zang, Barbara Franke, Martine Hoogman, Yu-Feng Wang
OBJECTIVE: Few studies have investigated verbal working memory-related functional connectivity patterns in participants with attention-deficit/hyperactivity disorder (ADHD). Thus, we aimed to compare working memory-related functional connectivity patterns in healthy children and those with ADHD, and study effects of methylphenidate (MPH). METHOD: Twenty-two boys with ADHD were scanned twice, under either MPH (single dose, 10 mg) or placebo, in a randomised, cross-over, counterbalanced placebo-controlled design...
June 1, 2017: Journal of Psychopharmacology
https://www.readbyqxmd.com/read/28649298/neuroimaging-the-traumatized-self-fmri-reveals-altered-response-in-cortical-midline-structures-and-occipital-cortex-during-visual-and-verbal-self-and-other-referential-processing-in-women-with-ptsd
#12
Paul Frewen, Elizabeth Thornley, Daniela Rabellino, Ruth Lanius
Background: Changes to the diagnostic criteria for PTSD in DSM-5 reflect an increased emphasis on negative cognition referring to self and other, including self-blame, and related pervasive negative affective states including for self-conscious emotions such as guilt and shame. Objective: Investigate the neural correlates of valenced self-referential processing (SRP) and other-referential processing (ORP) in persons with PTSD. Method: We compared response to the Visual-Verbal Self-Other Referential Processing Task in an fMRI study of women with (n = 20) versus without (n = 24) PTSD primarily relating to childhood and interpersonal trauma histories using statistical parametric mapping and group independent component analysis...
2017: European Journal of Psychotraumatology
https://www.readbyqxmd.com/read/28641247/modeling-task-fmri-data-via-deep-convolutional-autoencoder
#13
Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
Task-based fMRI (tfMRI) has been widely used to study functional brain networks under task performance. Modeling tfMRI data is challenging due to at least two problems: the lack of the ground truth of underlying neural activity and the highly complex intrinsic structure of tfMRI data. To better understand brain networks based on fMRI data, data-driven approaches have been proposed, for instance, Independent Component Analysis (ICA) and Sparse Dictionary Learning (SDL). However, both ICA and SDL only build shallow models, and they are under the strong assumption that original fMRI signal could be linearly decomposed into time series components with their corresponding spatial maps...
June 15, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28641239/automatic-recognition-of-fmri-derived-functional-networks-using-3d-convolutional-neural-networks
#14
Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
Current fMRI data modeling techniques such as Independent Component Analysis (ICA) and Sparse Coding methods can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simultaneously from the whole brain fMRI signals. However, such reconstructed networks have no correspondences across different subjects. Thus, automatic, effective and accurate classification and recognition of these large numbers of fMRI-derived functional brain networks are very important for subsequent steps of functional brain analysis in cognitive and clinical neuroscience applications...
June 15, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28631281/detecting-large-scale-networks-in-the-human-brain-using-high-density-electroencephalography
#15
Quanying Liu, Seyedehrezvan Farahibozorg, Camillo Porcaro, Nicole Wenderoth, Dante Mantini
High-density electroencephalography (hdEEG) is an emerging brain imaging technique that can be used to investigate fast dynamics of electrical activity in the healthy and the diseased human brain. Its applications are however currently limited by a number of methodological issues, among which the difficulty in obtaining accurate source localizations. In particular, these issues have so far prevented EEG studies from reporting brain networks similar to those previously detected by functional magnetic resonance imaging (fMRI)...
June 20, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28629720/exploring-connectivity-with-large-scale-granger-causality-on-resting-state-functional-mri
#16
Adora M DSouza, Anas Z Abidin, Lutz Leistritz, Axel Wismüller
BACKGROUND: Large-scale Granger causality (lsGC) is a recently developed, resting-state functional MRI (fMRI) connectivity analysis approach that estimates multivariate voxel-resolution connectivity. Unlike most commonly used multivariate approaches, which establish coarse-resolution connectivity by aggregating voxel time-series avoiding an underdetermined problem, lsGC estimates voxel-resolution, fine-grained connectivity by incorporating an embedded dimension reduction. NEW METHOD: We investigate application of lsGC on realistic fMRI simulations, modeling smoothing of neuronal activity by the hemodynamic response function and repetition time (TR), and empirical resting-state fMRI data...
August 1, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28620292/dynamic-responses-in-brain-networks-to-social-feedback-a-dual-eeg-acquisition-study-in-adolescent-couples
#17
Ching-Chang Kuo, Thao Ha, Ashley M Ebbert, Don M Tucker, Thomas J Dishion
Adolescence is a sensitive period for the development of romantic relationships. During this period the maturation of frontolimbic networks is particularly important for the capacity to regulate emotional experiences. In previous research, both functional magnetic resonance imaging (fMRI) and dense array electroencephalography (dEEG) measures have suggested that responses in limbic regions are enhanced in adolescents experiencing social rejection. In the present research, we examined social acceptance and rejection from romantic partners as they engaged in a Chatroom Interact Task...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28608643/spontaneous-activity-in-the-visual-cortex-is-organized-by-visual-streams
#18
Kun-Han Lu, Jun Young Jeong, Haiguang Wen, Zhongming Liu
Large-scale functional networks have been extensively studied using resting state functional magnetic resonance imaging (fMRI). However, the pattern, organization, and function of fine-scale network activity remain largely unknown. Here, we characterized the spontaneously emerging visual cortical activity by applying independent component (IC) analysis to resting state fMRI signals exclusively within the visual cortex. In this subsystem scale, we observed about 50 spatially ICs that were reproducible within and across subjects, and analyzed their spatial patterns and temporal relationships to reveal the intrinsic parcellation and organization of the visual cortex...
June 13, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28598733/task-context-dependent-linear-representation-of-multiple-visual-objects-in-human-parietal-cortex
#19
Su Keun Jeong, Yaoda Xu
A host of recent studies have reported robust representations of visual object information in the human parietal cortex, similar to those found in ventral visual cortex. In ventral visual cortex, both monkey neurophysiology and human fMRI studies showed that the neural representation of a pair of unrelated objects can be approximated by the averaged neural representation of the constituent objects shown in isolation. In this study, we examined whether such a linear relationship between objects exists for object representations in the human parietal cortex...
June 9, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28588476/age-related-differences-in-dynamic-interactions-among-default-mode-frontoparietal-control-and-dorsal-attention-networks-during-resting-state-and-interference-resolution
#20
Bárbara Avelar-Pereira, Lars Bäckman, Anders Wåhlin, Lars Nyberg, Alireza Salami
Resting-state fMRI (rs-fMRI) can identify large-scale brain networks, including the default mode (DMN), frontoparietal control (FPN) and dorsal attention (DAN) networks. Interactions among these networks are critical for supporting complex cognitive functions, yet the way in which they are modulated across states is not well understood. Moreover, it remains unclear whether these interactions are similarly affected in aging regardless of cognitive state. In this study, we investigated age-related differences in functional interactions among the DMN, FPN and DAN during rest and the Multi-Source Interference task (MSIT)...
2017: Frontiers in Aging Neuroscience
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