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independent component analysis fMRI

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https://www.readbyqxmd.com/read/29325327/-resting-state-network-evaluation-of-chronic-smokers-by-functional-magnetic-resonance-imaging
#1
Y Zhang, Y L Li, J L Cheng, A K Dong, K Xu, Y L Li
Objective: To explore the neuromechanism of nicotine smoking, we use independent component analysis (ICA) of resting-state functional magnetic resonance imaging (fMRI) to investigate the differences of functional connectivity of resting-state networks (RSN) in chronic smokers. Methods: Forty-five chronic smokers and thirty-four age and gender matched normal nonsmoking controls experienced resting-state fMRI scanning in 3.0T MRI scanner.Differences of the function connection in each RSN between chronic smokers group and nonsmoking controls group were analyzed by SPM software which was based on Matlab platform...
December 19, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/29321969/the-two-year-progression-of-structural-and-functional-cerebral-mri-in-amyotrophic-lateral-sclerosis
#2
R A L Menke, M Proudfoot, K Talbot, M R Turner
MRI has emerged as one of several urgently needed candidate disease progression biomarkers for the neurodegenerative disorder amyotrophic lateral sclerosis (ALS), not least due to its unique ability to non-invasively assess structural and functional cerebral pathology. We sought to identify the extent of detectable change in cerebral MRI metrics over a more prolonged period. Analysis of multi-modal MRI data was performed in a cohort of sixteen patients (13 ALS and 3 with primary lateral sclerosis) in whom it was possible to acquire six-monthly images over two years...
2018: NeuroImage: Clinical
https://www.readbyqxmd.com/read/29315951/four-way-multimodal-fusion-of-7%C3%A2-t-imaging-data-using-an-mcca-jica-model-in-first-episode-schizophrenia
#3
Kristin K Lottman, David M White, Nina V Kraguljac, Meredith A Reid, Vince D Calhoun, Fabio Catao, Adrienne C Lahti
Acquisition of multimodal brain imaging data for the same subject has become more common leading to a growing interest in determining the intermodal relationships between imaging modalities to further elucidate the pathophysiology of schizophrenia. Multimodal data have previously been individually analyzed and subsequently integrated; however, these analysis techniques lack the ability to examine true modality inter-relationships. The utilization of a multiset canonical correlation and joint independent component analysis (mCCA + jICA) model for data fusion allows shared or distinct abnormalities between modalities to be examined...
January 9, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29299380/higher-extrinsic-and-lower-intrinsic-connectivity-in-resting-state-networks-for-professional-baduk-go-players
#4
William S Sohn, Tae Young Lee, Seoyeon Kwak, Youngwoo Bryan Yoon, Jun Soo Kwon
Introduction: Dedication and training to a profession results in a certain level of expertise. This expertise, like any other skill obtained in our lifetime, is encoded in the brain and may be reflected in our brain's connectome. This property can be observed by mapping resting state connectivity. In this study, we examine the differences in resting state functional connectivity in four major networks between professional "Baduk" (Go) players and normal subjects. Methods: Resting state fMRI scans were acquired for professional "Baduk" (Go) players and normal controls...
December 2017: Brain and Behavior
https://www.readbyqxmd.com/read/29297154/altered-topological-patterns-of-brain-functional-networks-in-crohn-s-disease
#5
Peng Liu, Ru Li, Chunhui Bao, Ying Wei, Yingying Fan, Yanfei Liu, Geliang Wang, Huangan Wu, Wei Qin
Crohn's disease (CD) has been reported to relate with the functional and structural alterations in several local brain regions. However, it remains unknown whether the possible abnormalities of information transmission and integration between brain regions are associated with CD. The purpose of this study was to investigate the topological alterations of brain functional networks and the potential relationships between the neuroimaging findings and CD clinical characteristics. 43 remissive CD patients and 37 matched healthy controls (HCs) were recruited to obtain their resting-state functional magnetic resonance imaging (fMRI) data...
January 3, 2018: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29277658/agency-performance-modulates-resting-state-variation-in-prefrontal-brain-regions
#6
Christophe E de Bézenac, Vanessa Sluming, Rhiannon Corcoran
Distinguishing the effects of own from others' actions is a prerequisite for effective interpersonal functioning. Individuals differ in their ability to do this. For example, difficulties in self-other attribution have been linked to positive symptoms of schizophrenia such as hallucinations, with causally ambiguous situations proving a universal challenge. The goal of the present study was to examine relationships between individual differences in resting-state functional connectivity and self-other attribution performance...
December 22, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/29277645/transformation-from-independent-to-integrative-coding-of-multi-object-arrangements-in-human-visual-cortex
#7
Daniel Kaiser, Marius V Peelen
To optimize processing, the human visual system utilizes regularities present in naturalistic visual input. One of these regularities is the relative position of objects in a scene (e.g., a sofa in front of a television), with behavioral research showing that regularly positioned objects are easier to perceive and to remember. Here we use fMRI to test how positional regularities are encoded in the visual system. Participants viewed pairs of objects that formed minimalistic two-object scenes (e.g., a "living room" consisting of a sofa and television) presented in their regularly experienced spatial arrangement or in an irregular arrangement (with interchanged positions)...
December 22, 2017: NeuroImage
https://www.readbyqxmd.com/read/29276573/a-novel-framework-for-groupwise-registration-of-fmri-images-based-on-common-functional-networks
#8
Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Lv Jinglei, Xi Jiang, Dinggang Shen, Tianming Liu
Accurate registration plays a critical role in group-wise functional Magnetic Resonance Imaging (fMRI) image analysis, as spatial correspondence among different brain images is a prerequisite for inferring meaningful patterns. However, the problem is challenging and remains open, and more effort should be made to advance the state-of-the-art image registration methods for fMRI images. Inspired by the observation that common functional networks can be reconstructed from fMRI image across individuals, we propose a novel computational framework for simultaneous groupwise fMRI image registration by utilizing those common functional networks as references for spatial alignments...
April 2017: Proceedings of the IEEE International Symposium on Biomedical Imaging: from Nano to Macro
https://www.readbyqxmd.com/read/29249930/effects-of-field-map-distortion-correction-on-resting-state-functional-connectivity-mri
#9
Hiroki Togo, Jaroslav Rokicki, Kenji Yoshinaga, Tatsuhiro Hisatsune, Hiroshi Matsuda, Nobuhiko Haga, Takashi Hanakawa
Magnetic field inhomogeneities cause geometric distortions of echo planar images used for functional magnetic resonance imaging (fMRI). To reduce this problem, distortion correction (DC) with field map is widely used for both task and resting-state fMRI (rs-fMRI). Although DC with field map has been reported to improve the quality of task fMRI, little is known about its effects on rs-fMRI. Here, we tested the influence of field-map DC on rs-fMRI results using two rs-fMRI datasets derived from 40 healthy subjects: one with DC (DC+) and the other without correction (DC-)...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29249338/wavelet-coherence-based-classifier-a-resting-state-functional-mri-study-on-neurodynamics-in-adolescents-with-high-functioning-autism
#10
Antoine Bernas, Albert P Aldenkamp, Svitlana Zinger
BACKGROUND AND OBJECTIVE: The autism spectrum disorder (ASD) diagnosis requires a long and elaborate procedure. Due to the lack of a biomarker, the procedure is subjective and is restricted to evaluating behavior. Several attempts to use functional MRI as an assisting tool (as classifier) have been reported, but they barely reach an accuracy of 80%, and have not usually been replicated or validated with independent datasets. Those attempts have used functional connectivity and structural measurements...
February 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29246846/leica-laplacian-eigenmaps-for-group-ica-decomposition-of-fmri-data
#11
Chihuang Liu, Joseph JaJa, Luiz Pessoa
Independent component analysis (ICA) is a data-driven method that has been increasingly used for analyzing functional Magnetic Resonance Imaging (fMRI) data. However, generalizing ICA to multi-subject studies is non-trivial due to the high-dimensionality of the data, the complexity of the underlying neuronal processes, the presence of various noise sources, and inter-subject variability. Current group ICA based approaches typically use several forms of the Principal Component Analysis (PCA) method to extend ICA for generating group inferences...
December 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/29240833/vagal-nerve-stimulation-triggers-widespread-responses-and-alters-large-scale-functional-connectivity-in-the-rat-brain
#12
Jiayue Cao, Kun-Han Lu, Terry L Powley, Zhongming Liu
Vagus nerve stimulation (VNS) is a therapy for epilepsy and depression. However, its efficacy varies and its mechanism remains unclear. Prior studies have used functional magnetic resonance imaging (fMRI) to map brain activations with VNS in human brains, but have reported inconsistent findings. The source of inconsistency is likely attributable to the complex temporal characteristics of VNS-evoked fMRI responses that cannot be fully explained by simplified response models in the conventional model-based analysis for activation mapping...
2017: PloS One
https://www.readbyqxmd.com/read/29237276/differential-effects-of-left-and-right-prefrontal-high-frequency-rtms-on-resting-state-fmri-in-healthy-individuals
#13
Renee S Schluter, Jochem M Jansen, Ruth J van Holst, Wim van den Brink, Anna E Goudriaan
High frequency repetitive transcranial magnetic stimulation (HF-rTMS) has gained great interest in multiple clinical and research fields and is believed to accomplish its effect by influencing neuronal networks. The dlPFC is frequently chosen as the cortical target for HF-rTMS. However very little is known about the differential effect of HF-rTMS over the left and right dlPFC on intrinsic functional connectivity networks in patients or in healthy individuals. The current study assessed the differential effects of left or right HF-rTMS (corrected for sham) on intrinsic Independent Component Analysis (ICA) defined functional connectivity networks in a sample of 45 healthy individuals...
December 14, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/29209234/altered-brain-functional-connectivity-in-betel-quid-dependent-chewers
#14
Xiaojun Huang, Weidan Pu, Haihong Liu, Xinmin Li, Andrew J Greenshaw, Serdar M Dursun, Zhimin Xue, Zhening Liu
Background: Betel quid (BQ) is a common psychoactive substance worldwide with particularly high usage in many Asian countries. This study aimed to explore the effect of BQ use on functional connectivity by comparing global functional brain networks and their subset between BQ chewers and healthy controls (HCs). Methods: Resting-state functional magnetic resonance imaging (fMRI) was obtained from 24 betel quid-dependent (BQD) male chewers and 27 healthy male individuals on a 3...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/29205574/different-pre-scanning-instructions-induce-distinct-psychological-and-resting-brain-states-during-functional-magnetic-resonance-imaging
#15
Toshikazu Kawagoe, Keiichi Onoda, Shuhei Yamaguchi
Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used to investigate functional brain network connectivity during rest or when the subject is not performing an explicit task. In the standard procedure, subjects are instructed to "let your mind wander" or "think of nothing." While these instructions appear appropriate to induce a "resting-state," they could induce distinct psychological and physiological states during the scan. In this study, we investigated whether different instructions affect mental state and functional connectivity (FC) (i...
December 4, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29175611/resting-state-functional-connectivity-remains-unaffected-by-preceding-exposure-to-aversive-visual-stimuli
#16
Léonie Geissmann, Leo Gschwind, Nathalie Schicktanz, Gunnar Deuring, Timm Rosburg, Kyrill Schwegler, Christiane Gerhards, Annette Milnik, Marlon O Pflueger, Ralph Mager, Dominique J F de Quervain, David Coynel
While much is known about immediate brain activity changes induced by the confrontation with emotional stimuli, the subsequent temporal unfolding of emotions has yet to be explored. To investigate whether exposure to emotionally aversive pictures affects subsequent resting-state networks differently from exposure to neutral pictures, a resting-state fMRI study implementing a two-group repeated-measures design in healthy young adults (N = 34) was conducted. We focused on investigating (i) patterns of amygdala whole-brain and hippocampus connectivity in both a seed-to-voxel and seed-to-seed approach, (ii) whole-brain resting-state networks with an independent component analysis coupled with dual regression, and (iii) the amygdala's fractional amplitude of low frequency fluctuations, all while EEG recording potential fluctuations in vigilance...
November 22, 2017: NeuroImage
https://www.readbyqxmd.com/read/29164505/network-level-dysconnectivity-in-patients-with-nasopharyngeal-carcinoma-npc-early-post-radiotherapy-longitudinal-resting-state-fmri-study
#17
Yingwei Qiu, Zheng Guo, Lujun Han, Yadi Yang, Jing Li, Shiliang Liu, Xiaofei Lv
In this study, we seek to longitudinally investigate the network-level functional connectivity (FC) alternations and its association with irradiation dose and cognition changes in the early stage post radiotherapy (RT) in nasopharyngeal carcinoma (NPC) patients. We performed independent component analysis (ICA) of resting state blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) from 39 newly diagnosed NPC patients before receiving treatment (baseline), and 3 months post-RT. the default mode network (DMN), salience network (SN), and executive control network (ECN) were extracted with well-validated software (GIFT)...
November 21, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29163087/localized-fluctuant-oscillatory-activity-by-working-memory-load-a-simultaneous-eeg-fmri-study
#18
Xiaojie Zhao, Xiaoyun Li, Li Yao
Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) to explore load-dependent cognition processing according to the time courses of electrophysiological activity or the spatial pattern of blood oxygen metabolic activity. However, the relationships between these two activities and the underlying neural mechanism are still unclear...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/29161884/accounting-for-non-gaussian-sources-of-spatial-correlation-in-parametric-fmri-paradigms-ii-a-method-to-obtain-first-level-analysis-residuals-with-uniform-and-gaussian-spatial-autocorrelation-function-and-independent-and-identically-distributed-time-series
#19
Kaundinya Gopinath, Venkatagiri Krishnamurthy, Simon Lacey, K Sathian
A recent study (Eklund et al., 2016) has shown that cluster-wise family-wise error (FWE) rate corrected inferences made in parametric statistical methods based fMRI studies over the past couple of decades may have been invalid, particularly for cluster defining thresholds less stringent than p < 0.001; principally because the spatial autocorrelation functions (sACF) of fMRI data had been modeled incorrectly to follow a Gaussian form, whereas empirical data suggests otherwise (Eklund et al., 2016). Hence the residuals from general linear model (GLM) based fMRI activation estimates in these studies may not have possessed a homogenously Gaussian sACF (Eklund et al...
November 22, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/29158202/dynamic-effective-connectivity-in-resting-state-fmri
#20
Hae-Jeong Park, Karl J Friston, Chongwon Pae, Bumhee Park, Adeel Razi
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy. This dynamic aspect of brain connectivity has recently attracted a lot of attention in the resting state fMRI community. To explain dynamic functional connectivity in terms of directed effective connectivity among brain regions, we introduce a novel method to identify dynamic effective connectivity using spectral dynamic causal modelling (spDCM)...
November 20, 2017: NeuroImage
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