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independent component analysis fMRI

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https://www.readbyqxmd.com/read/28914659/relationship-between-alpha-rhythm-and-the-default-mode-network-an-eeg-fmri-study
#1
Anthony D Bowman, Joseph C Griffis, Kristina M Visscher, Allan C Dobbins, Timothy J Gawne, Mark W DiFrancesco, Jerzy P Szaflarski
PURPOSE: Reports of the relationship between the default mode network (DMN) and alpha power are conflicting. Our goal was to assess this relationship by analyzing concurrently obtained EEG/functional MRI data using hypothesis-independent methods. METHODS: We collected functional MRI and EEG data during eyes-closed rest in 20 participants aged 19 to 37 (10 females) and performed independent component analysis on the functional MRI data and a Hamming-windowed fast Fourier transform on the EEG data...
September 13, 2017: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
https://www.readbyqxmd.com/read/28914607/cortex-wide-bold-fmri-activity-reflects-locally-recorded-slow-oscillation-associated-calcium-waves
#2
Miriam Schwalm, Florian Schmid, Lydia Wachsmuth, Hendrik Backhaus, Andrea Kronfeld, Felipe Aedo Jury, Pierre-Hugues Prouvot, Consuelo Fois, Franziska Albers, Timo van Alst, Cornelius Faber, Albrecht Stroh
Spontaneous slow oscillation-associated slow wave activity represents an internally generated state which is characterized by alternations of network quiescence and stereotypical episodes of neuronal activity - slow wave events. However, it remains unclear which macroscopic signal is related to these active periods of the slow wave rhythm. We used optic fiber-based calcium recordings of local neural populations in cortex and thalamus to detect neurophysiologically defined slow calcium waves in isoflurane anesthetized rats...
September 15, 2017: ELife
https://www.readbyqxmd.com/read/28912568/intrinsic-neural-network-dysfunction-in-quiescent-crohn-s-disease
#3
Anne K Thomann, Martin Griebe, Philipp A Thomann, Dusan Hirjak, Matthias P Ebert, Kristina Szabo, Wolfgang Reindl, Robert C Wolf
Psychological factors and comorbidities play an important role in inflammatory bowel diseases. Such comorbidity could be associated with a specific neural phenotype. Brain regions associated with emotion regulation and self-referential processing, including areas assigned to the "default mode network" (DMN), could be promising candidates in this regard. We investigated the functional integrity of multiple intrinsic neural networks in remitted patients with Crohn's disease (CD) and sought to establish relationships between neural network connectivity and psychiatric symptoms...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28911257/fatigue-in-multiple-sclerosis-the-contribution-of-resting-state-functional-connectivity-reorganization
#4
Alvino Bisecco, Federica Di Nardo, Renato Docimo, Giuseppina Caiazzo, Alessandro d'Ambrosio, Simona Bonavita, Rocco Capuano, Leonardo Sinisi, Mario Cirillo, Fabrizio Esposito, Gioacchino Tedeschi, Antonio Gallo
OBJECTIVES: To investigate resting-state functional connectivity (RS-FC) of the default-mode network (DMN) and of sensorimotor network (SMN) network in relapsing remitting (RR) multiple sclerosis (MS) patients with fatigue (F) and without fatigue(NF). METHODS: In all, 59 RRMS patients and 29 healthy controls (HC) underwent magnetic resonance imaging (MRI) protocol including resting-state fMRI (RS-fMRI). Functional connectivity of the DMN and SMN was evaluated by independent component analysis (ICA)...
September 1, 2017: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/28893330/changes-in-resting-state-brain-networks-after-cognitive-behavioral-therapy-for-chronic-pain
#5
A Yoshino, Y Okamoto, G Okada, M Takamura, N Ichikawa, C Shibasaki, S Yokoyama, M Doi, R Jinnin, H Yamashita, M Horikoshi, S Yamawaki
BACKGROUND: Cognitive-behavioral therapy (CBT) is thought to be useful for chronic pain, with the pathology of the latter being closely associated with cognitive-emotional components. However, there are few resting-state functional magnetic resonance imaging (R-fMRI) studies. We used the independent component analysis method to examine neural changes after CBT and to assess whether brain regions predict treatment response. METHODS: We performed R-fMRI on a group of 29 chronic pain (somatoform pain disorder) patients and 30 age-matched healthy controls (T1)...
September 12, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28891507/comparison-of-separation-performance-of-independent-component-analysis-algorithms-for-fmri-data
#6
Yogesh Kumar Sariya, R S Anand
Independent component analysis, a data-driven analysis method, has found significant applications in task-based as well as resting state fMRI studies. There are numbers of independent component analysis algorithms available, but only a few of them have been used frequently so far for fMRI images. With a view that algorithms that are overlooked may outperform the most opted, a comparative study is taken up in this paper to analyze their abilities for the purpose of synthesis of fMRI images. In this paper, ten independent component algorithms: Fast ICA, INFOMAX, SIMBEC, JADE, ERICA, EVD, RADICAL, ICA-EBM, ERBM, and COMBI are compared...
2017: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/28888769/inter-vender-and-test-retest-reliabilities-of-resting-state-functional-magnetic-resonance-imaging-implications-for-multi-center-imaging-studies
#7
Hyeong Su An, Won-Jin Moon, Jae-Kyun Ryu, Ju Yeon Park, Won Sung Yun, Jin Woo Choi, Geon-Ho Jahng, Jang-Yeon Park
This prospective multi-center study aimed to evaluate the inter-vendor and test-retest reliabilities of resting-state functional magnetic resonance imaging (RS-fMRI) by assessing the temporal signal-to-noise ratio (tSNR) and functional connectivity. Study included 10 healthy subjects and each subject was scanned using three 3T MR scanners (GE Signa HDxt, Siemens Skyra, and Philips Achieva) in two sessions. The tSNR was calculated from the time course data. Inter-vendor and test-retest reliabilities were assessed with intra-class correlation coefficients (ICCs) derived from variant component analysis...
September 6, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28882089/the-default-mode-network-as-a-biomarker-of-persistent-complaints-after-mild-traumatic-brain-injury-a-longitudinal-fmri-study
#8
Harm Jan van der Horn, Myrthe Elisabeth Scheenen, Myrthe Elisabeth de Koning, Edith J Liemburg, Jacoba M Spikman, Joukje van der Naalt
The objective of this study was to examine longitudinal functional connectivity of resting-state networks in patients with and without complaints after uncomplicated mild traumatic brain injury (mTBI). Second, we aimed to determine the value of network connectivity in predicting persistent complaints, anxiety, depression and long-term outcome. Thirty mTBI patients with (≥ 3) posttraumatic complaints at two weeks post-injury, 19 without complaints, and 20 matched healthy controls were selected for this study...
September 7, 2017: Journal of Neurotrauma
https://www.readbyqxmd.com/read/28867339/multimodal-neural-correlates-of-cognitive-control-in-the-human-connectome-project
#9
Dov B Lerman-Sinkoff, Jing Sui, Srinivas Rachakonda, Sridhar Kandala, Vince D Calhoun, Deanna M Barch
Cognitive control is a construct that refers to the set of functions that enable decision-making and task performance through the representation of task states, goals, and rules. The neural correlates of cognitive control have been studied in humans using a wide variety of neuroimaging modalities, including structural MRI, resting-state fMRI, and task-based fMRI. The results from each of these modalities independently have implicated the involvement of a number of brain regions in cognitive control, including dorsal prefrontal cortex, and frontal parietal and cingulo-opercular brain networks...
August 31, 2017: NeuroImage
https://www.readbyqxmd.com/read/28864838/an-improved-multi-objective-optimization-based-cica-method-with-data-driver-temporal-reference-for-group-fmri-data-analysis
#10
Yuhu Shi, Weiming Zeng, Xiaoyan Tang, Wei Kong, Jun Yin
Group independent component analysis (GICA) has been successfully applied to study multi-subject functional magnetic resonance imaging (fMRI) data, and the group independent component (GIC) represents the commonality of all subjects in the group. However, some studies show that the performance of GICA can be improved by incorporating a priori information, which is not always considered when looking for GICs in existing GICA methods. In this paper, we propose an improved multi-objective optimization-based constrained independent component analysis (CICA) method to take advantage of the temporal a priori information extracted from all subjects in the group by incorporating it into the computational process of GICA for group fMRI data analysis...
September 2, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28861338/increased-default-mode-variability-is-related-to-reduced-task-performance-and-is-evident-in-adults-with-adhd
#11
Athanasia M Mowinckel, Dag Alnæs, Mads L Pedersen, Sigurd Ziegler, Mats Fredriksen, Tobias Kaufmann, Edmund Sonuga-Barke, Tor Endestad, Lars T Westlye, Guido Biele
Insufficient suppression and connectivity of the default mode network (DMN) is a potential mediator of cognitive dysfunctions across various disorders, including attention deficit/hyperactivity disorder (ADHD). However, it remains unclear if alterations in sustained DMN suppression, variability and connectivity during prolonged cognitive engagement are implicated in adult ADHD pathophysiology, and to which degree methylphenidate (MPH) remediates any DMN abnormalities. This randomized, double-blinded, placebo-controlled, cross-over clinical trial of MPH (clinicaltrials...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28856131/resting-state-functional-connectivity-in-the-infant-brain-methods-pitfalls-and-potentiality
#12
Chandler R L Mongerson, Russell W Jennings, David Borsook, Lino Becerra, Dusica Bajic
Early brain development is characterized by rapid growth and perpetual reconfiguration, driven by a dynamic milieu of heterogeneous processes. Postnatal brain plasticity is associated with increased vulnerability to environmental stimuli. However, little is known regarding the ontogeny and temporal manifestations of inter- and intra-regional functional connectivity that comprise functional brain networks. Resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a promising non-invasive neuroinvestigative tool, measuring spontaneous fluctuations in blood oxygen level dependent (BOLD) signal at rest that reflect baseline neuronal activity...
2017: Frontiers in Pediatrics
https://www.readbyqxmd.com/read/28844008/delay-discounting-is-predicted-by-scale-free-dynamics-of-default-mode-network-and-salience-network
#13
Zhiyi Chen, Yiqun Guo, Tingyong Feng
Resting-state functional Magnetic Resonance Imaging (rs-fMRI) is frequently used as a powerful technology to detect individual differences in many cognitive functions. Recently, some studies have explored the association between scale-free dynamic properties of resting-state brain activation and individual personality traits. However, little is known about whether the scale-free dynamics of resting-state function networks is associated with delay discounting. To address this question, we calculated the Hurst exponent which quantifies long-term memory of the time series in resting-state networks (RSNs) identified via independent component analysis (ICA) and examined what relationship between delay discounting and the Hurst exponent of RSNs is...
August 24, 2017: Neuroscience
https://www.readbyqxmd.com/read/28843214/constructing-fine-granularity-functional-brain-network-atlases-via-deep-convolutional-autoencoder
#14
Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu
State-of-the-art functional brain network reconstruction methods such as independent component analysis (ICA) or sparse coding of whole-brain fMRI data can effectively infer many thousands of volumetric brain network maps from a large number of human brains. However, due to the variability of individual brain networks and the large scale of such networks needed for statistically meaningful group-level analysis, it is still a challenging and open problem to derive group-wise common networks as network atlases...
August 18, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28842597/intrinsic-brain-connectivity-after-partial-sleep-deprivation-in-young-and-older-adults-results-from-the-stockholm-sleepy-brain-study
#15
Gustav Nilsonne, Sandra Tamm, Johanna Schwarz, Rita Almeida, Håkan Fischer, Göran Kecklund, Mats Lekander, Peter Fransson, Torbjörn Åkerstedt
Sleep deprivation has been reported to affect intrinsic brain connectivity, notably reducing connectivity in the default mode network. Studies to date have however shown inconsistent effects, in many cases lacked monitoring of wakefulness, and largely included young participants. We investigated effects of sleep deprivation on intrinsic brain connectivity in young and older participants. Participants aged 20-30 (final n = 30) and 65-75 (final n = 23) years underwent partial sleep deprivation (3 h sleep) in a cross-over design, with two 8-minutes eyes-open resting state functional magnetic resonance imaging (fMRI) runs in each session, monitored by eye-tracking...
August 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28842191/removal-of-bcg-artefact-from-concurrent-fmri-eeg-recordings-based-on-emd-and-pca
#16
Ehtasham Javed, Ibrahima Faye, Aamir Saeed Malik, Jafri Malin Abdullah
BACKGROUND: Simultaneous electroencephalography (EEG) and functional magnetic resonance image (fMRI) acquisitions provide better insight into brain dynamics. Some artefacts due to simultaneous acquisition pose a threat to the quality of the data. One such problematic artefact is the ballistocardiogram (BCG) artefact. METHODS: We developed a hybrid algorithm that combines features of empirical mode decomposition (EMD) with principal component analysis (PCA) to reduce the BCG artefact...
August 24, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28830309/aberrant-thalamocortical-connectivity-in-juvenile-myoclonic-epilepsy
#17
S Jiang, C Luo, J Gong, R Peng, S Ma, S Tan, G Ye, L Dong, D Yao
The purpose of this study was to investigate the functional connectivity (FC) of thalamic subdivisions in patients with juvenile myoclonic epilepsy (JME). Resting state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) data were acquired from 22 JME and 25 healthy controls. We first divided the thalamus into eight subdivisions by performing independent component analysis on tracking fibers and clustering thalamus-related FC maps. We then analyzed abnormal FC in each subdivision in JME compared with healthy controls, and we investigated their associations with clinical features...
June 13, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28828546/altered-resting-state-connectivity-in-right-side-frontoparietal-network-in-primary-insomnia-patients
#18
Shumei Li, Junzhang Tian, Meng Li, Tianyue Wang, Chulan Lin, Yi Yin, Luxian Zeng, Cheng Li, Guihua Jiang
OBJECTIVE: This study investigated alterations of resting-state networks (RSNs) in primary insomnia patients as well as relationships between these changes and clinical features. METHODS: Fifty-nine primary insomnia patients and 53 healthy control subjects underwent a resting-state fMRI scan (rs-fMRI). Ten RSNs were identified using independent component analysis of rs-fMRI data. To assess significant differences between the two groups, voxel-wise analysis of ten RSNs was conducted using dual regression with FSL randomised non-parametric permutation testing and a threshold-free cluster enhanced technique to control for multiple comparisons...
August 21, 2017: European Radiology
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
#19
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
#20
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 12, 2017: NeuroImage
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