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independent component analysis fMRI

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https://www.readbyqxmd.com/read/28814282/alterations-in-resting-state-functional-connectivity-of-the-default-mode-network-in-amnestic-mild-cognitive-impairment-an-fmri-study
#1
Moyi Li, Guohua Zheng, Yuhui Zheng, Zhenyu Xiong, Rui Xia, Wenji Zhou, Qin Wang, Shengxiang Liang, Jing Tao, Lidian Chen
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is characterized by cognitive functional decline, especially in memory. Resting-state functional magnetic resonance imaging (fMRI) has been widely used in neuroimaging studies that explore alterations between patients and normal individuals to elucidate the pathological mechanisms of different diseases. The current study was performed to investigate alterations in the functional connectivity of the default mode network (DMN) in aMCI patients compared to healthy elderly controls, as well as further define the association between neurological alterations and memory function...
August 16, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28807871/mentalizing-regions-represent-distributed-continuous-and-abstract-dimensions-of-others-beliefs
#2
Jorie Koster-Hale, Hilary Richardson, Natalia Velez, Mika Asaba, Liane Young, Rebecca Saxe
The human capacity to reason about others' minds includes making causal inferences about intentions, beliefs, values, and goals. Previous fMRI research has suggested that a network of brain regions, including bilateral temporo-parietal junction (TPJ), superior temporal sulcus (STS), and medial prefrontal-cortex (MPFC), are reliably recruited for mental state reasoning. Here, in two fMRI experiments, we investigate the representational content of these regions. Building on existing computational and neural evidence, we hypothesized that social brain regions contain at least two functionally and spatially distinct components: one that represents information related to others' motivations and values, and another that represents information about others' beliefs and knowledge...
August 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28807861/comparing-brain-graphs-in-which-nodes-are-regions-of-interest-or-independent-components-a-simulation-study
#3
Qingbao Yu, Yuhui Du, Jiayu Chen, Hao He, Jing Sui, Godfrey Pearlson, Vince D Calhoun
BACKGROUND: A key challenge in building a brain graph using fMRI data is how to define the nodes. Spatial brain components estimated by independent components analysis (ICA) and regions of interest (ROIs) determined by brain atlas are two popular methods to define nodes in brain graphs. It is difficult to evaluate which method is better in real fMRI data. NEW METHOD: Here we perform a simulation study and evaluate the accuracies of a few graph metrics in graphs with nodes of ICA components, ROIs, or modified ROIs in four simulation scenarios...
August 11, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28794974/resting-state-functional-connectivity-changes-due-to-acute-and-short-term-valproic-acid-administration-in-the-baboon-model-of-gge
#4
Felipe S Salinas, Charles Ákos Szabó
Resting-state functional connectivity (FC) is altered in baboons with genetic generalized epilepsy (GGE) compared to healthy controls (CTL). We compared FC changes between GGE and CTL groups after intravenous injection of valproic acid (VPA) and following one-week of orally administered VPA. Seven epileptic (2 females) and six CTL (3 females) baboons underwent resting-state fMRI (rs-fMRI) at 1) baseline, 2) after intravenous acute VPA administration (20 mg/kg), and 3) following seven-day oral, subacute VPA therapy (20-80 mg/kg/day)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28782373/correlating-resting-state-functional-mri-connectivity-by-independent-component-analysis-based-epileptogenic-zones-with-intracranial-eeg-localized-seizure-onset-zones-and-surgical-outcomes-in-prospective-pediatric-intractable-epilepsy-study
#5
Varina Boerwinkle, Deepankar Mohanty, Stephen Foldes, Danielle Guffey, Charles G Minard, Lucia Mirea, Aditya Vedantam, Jeffery S Raskin, Sandi Lam, Margaret Bond, P David Adelson, Angus A Wilfong, Daniel J Curry
OBJECTIVE: Prospective investigation determining agreement between the epileptogenic zone(s) (EZ) localization by resting state functional MRI (rs-fMRI) and the seizure onset zone(s) (SOZ) identified by intracranial EEG (ic-EEG) using novel differentiating and ranking criteria of rs-fMRI abnormal independent components in a consecutive heterogeneous pediatric intractable epilepsy population prospectively was conducted. METHODS: The EZ criteria were developed from an initial cohort of 350 patients evaluated for epilepsy surgery over a 3-year period...
August 7, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28774436/scgicar-spatial-concatenation-based-group-ica-with-reference-for-fmri-data-analysis
#6
Yuhu Shi, Weiming Zeng, Nizhuan Wang
BACKGROUND AND OBJECTIVE: With the rapid development of big data, the functional magnetic resonance imaging (fMRI) data analysis of multi-subject is becoming more and more important. As a kind of blind source separation technique, group independent component analysis (GICA) has been widely applied for the multi-subject fMRI data analysis. However, spatial concatenated GICA is rarely used compared with temporal concatenated GICA due to its disadvantages. METHODS: In this paper, in order to overcome these issues and to consider that the ability of GICA for fMRI data analysis can be improved by adding a priori information, we propose a novel spatial concatenation based GICA with reference (SCGICAR) method to take advantage of the priori information extracted from the group subjects, and then the multi-objective optimization strategy is used to implement this method...
September 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28759710/functional-integrity-in-children-with-anoxic-brain-injury-from-drowning
#7
Mariam Ishaque, Janessa H Manning, Mary D Woolsey, Crystal G Franklin, Elizabeth W Tullis, Christian F Beckmann, Peter T Fox
Drowning is a leading cause of accidental injury and death in young children. Anoxic brain injury (ABI) is a common consequence of drowning and can cause severe neurological morbidity in survivors. Assessment of functional status and prognostication in drowning victims can be extremely challenging, both acutely and chronically. Structural neuroimaging modalities (CT and MRI) have been of limited clinical value. Here, we tested the utility of resting-state functional MRI (rs-fMRI) for assessing brain functional integrity in this population...
July 31, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28743059/altered-connectivity-within-and-between-the-default-mode-central-executive-and-salience-networks-in-obsessive-compulsive-disorder
#8
Jie Fan, Mingtian Zhong, Jun Gan, Wanting Liu, Chaoyang Niu, Haiyan Liao, Hongchun Zhang, Jinyao Yi, Raymond C K Chan, Changlian Tan, Xiongzhao Zhu
BACKGROUND: Default mode network (DMN), central executive network (CEN) and salience network (SN) are the three most important intrinsic networks of the human brain. Recent studies emphasized the importance of the "triple-network model" which illustrated the interactions within and between DMN, CEN and SN in the pathophysiology of psychiatric disorders. However, previous studies of obsessive-compulsive disorder (OCD) just explored the altered connectivity within these networks while neglected the coupling between them...
July 20, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28736698/impact-of-automated-ica-based-denoising-of-fmri-data-in-acute-stroke-patients
#9
D Carone, R Licenik, S Suri, L Griffanti, N Filippini, J Kennedy
Different strategies have been developed using Independent Component Analysis (ICA) to automatically de-noise fMRI data, either focusing on removing only certain components (e.g. motion-ICA-AROMA, Pruim et al., 2015a) or using more complex classifiers to remove multiple types of noise components (e.g. FIX, Salimi-Khorshidi et al., 2014 Griffanti et al., 2014). However, denoising data obtained in an acute setting might prove challenging: the presence of multiple noise sources may not allow focused strategies to clean the data enough and the heterogeneity in the data may be so great to critically undermine complex approaches...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28734059/localized-reductions-in-resting-state-functional-connectivity-in-children-with-prenatal-alcohol-exposure
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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...
September 1, 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
#17
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
#18
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
#19
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
#20
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
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