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Resting state fMRI

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https://www.readbyqxmd.com/read/29681927/altered-structural-and-functional-connectivity-of-juvenile-myoclonic-epilepsy-an-fmri-study
#1
Chengqing Zhong, Rong Liu, Cheng Luo, Sisi Jiang, Li Dong, Rui Peng, Fuqiang Guo, Pu Wang
The aim of this study was to investigate the structural and functional connectivity (FC) of juvenile myoclonic epilepsy (JME) using resting state functional magnetic resonance imaging (rs-fMRI). High-resolution T1-weighted magnetic resonance imaging (MRI) and rs-fMRI data were collected in 25 patients with JME and in 24 control subjects. A FC analysis was subsequently performed, with seeding at the regions that demonstrated between-group differences in gray matter volume (GMV). Then, the observed structural and FCs were associated with the clinical manifestations...
2018: Neural Plasticity
https://www.readbyqxmd.com/read/29680421/mapping-the-changed-hubs-and-corresponding-functional-connectivity-in-idiopathic-restless-legs-syndrome
#2
Chunyan Liu, Jiaojian Wang, Yue Hou, Zhigang Qi, Li Wang, Shuqin Zhan, Rong Wang, Yuping Wang
OBJECTIVE: The hubs of the brain network play a key role in integrating and transferring information between different functional modules. However, whether the changed pattern in functional network hubs contributes to the onset of leg discomfort symptoms in restless legs syndrome (RLS) patients remains unclear. Using resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory methods, we investigated whether alterations of hubs can be detected in RLS. METHODS: First, we constructed the whole-brain voxelwise functional connectivity and calculated a functional connectivity strength (FCS) map in each of 16 drug-naive idiopathic RLS patients and 26 gender- and age-matched healthy control (HC) subjects...
May 2018: Sleep Medicine
https://www.readbyqxmd.com/read/29679735/age-dependent-effects-of-brain-stimulation-on-network-centrality
#3
Daria Antonenko, Till Nierhaus, Marcus Meinzer, Kristin Prehn, Axel Thielscher, Bernd Ittermann, Agnes Flöel
Functional magnetic resonance imaging (fMRI) studies have suggested that advanced age may mediate the effects of transcranial direct current stimulation (tDCS) on brain function. However, studies directly comparing neural tDCS effects between young and older adults are scarce and limited to task-related imaging paradigms. Resting-state (rs-) fMRI, that is independent of age-related differences in performance, is well suited to investigate age-associated differential neural tDCS effects. Three "online" tDCS conditions (anodal, cathodal, sham) were compared in a cross-over, within-subject design, in 30 young and 30 older adults...
April 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29677346/reduced-functional-and-anatomic-interhemispheric-homotopic-connectivity-in-primary-open-angle-glaucoma-a-combined-resting-state-fmri-and-dti-study
#4
Qian Wang, Weiwei Chen, Huaizhou Wang, Xun Zhang, Xiaoxia Qu, Ying Wang, Ting Li, Ningli Wang, Junfang Xian
Purpose: To investigate if abnormal interhemispheric homotopic functional connectivity were accompanied by corresponding anatomic connectivity changes in primary open-angle glaucoma (POAG) patients, and to relate connectivity changes with retinal nerve fiber layer (RNFL) thickness and ganglion cell complex (GCC) thickness. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) were performed in 16 POAG patients and 19 healthy controls...
April 1, 2018: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/29676512/occupational-functional-plasticity-revealed-by-brain-entropy-a-resting-state-fmri-study-of-seafarers
#5
Nizhuan Wang, Huijun Wu, Min Xu, Yang Yang, Chunqi Chang, Weiming Zeng, Hongjie Yan
Recently, functional magnetic resonance imaging (fMRI) has been increasingly used to assess brain function. Brain entropy is an effective model for evaluating the alteration of brain complexity. Specifically, the sample entropy (SampEn) provides a feasible solution for revealing the brain's complexity. Occupation is one key factor affecting the brain's activity, but the neuropsychological mechanisms are still unclear. Thus, in this article, based on fMRI and a brain entropy model, we explored the functional complexity changes engendered by occupation factors, taking the seafarer as an example...
April 20, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29675389/altered-intrinsic-functional-connectivity-of-the-primary-visual-cortex-in-youth-patients-with-comitant-exotropia-a-resting-state-fmri-study
#6
Pei-Wen Zhu, Xin Huang, Lei Ye, Nan Jiang, Yu-Lin Zhong, Qing Yuan, Fu-Qing Zhou, Yi Shao
AIM: To evaluate the differences in the functional connectivity (FC) of the primary visual cortex (V1) between the youth comitant exotropia (CE) patients and health subjects using resting functional magnetic resonance imaging (fMRI) data. METHODS: Totally, 32 CEs (25 males and 7 females) and 32 healthy control subjects (HCs) (25 males and 7 females) were enrolled in the study and underwent the MRI scanning. Two-sample t -test was used to examine differences in FC maps between the CE patients and HCs...
2018: International Journal of Ophthalmology
https://www.readbyqxmd.com/read/29673968/model-order-effects-on-ica-of-resting-state-complex-valued-fmri-data-application-to-schizophrenia
#7
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Jing Sui, Vince D Calhoun
BACKGROUND: Component splitting at higher model orders is a widely accepted finding for independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. However, our recent study found that intact components occurred with subcomponents at higher model orders. NEW METHOD: This study investigated model order effects on ICA of resting-state complex-valued fMRI data from 82 subjects, which included 40 healthy controls (HCs) and 42 schizophrenia patients...
April 16, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29673116/intrinsic-spontaneous-brain-activity-predicts-individual-variability-in-associative-memory-in-older-adults
#8
Zhiwei Zheng, Rui Li, Fengqiu Xiao, Rongqiao He, Shouzi Zhang, Juan Li
Older adults demonstrate notable individual differences in associative memory. Here, resting-state functional magnetic resonance imaging (rsfMRI) was used to investigate whether intrinsic brain activity at rest could predict individual differences in associative memory among cognitively healthy older adults. Regional amplitude of low-frequency fluctuations (ALFF) analysis and a correlation-based resting-state functional connectivity (RSFC) approach were used to analyze data acquired from 102 cognitively normal elderly who completed the paired-associative learning test (PALT) and underwent fMRI scans...
April 19, 2018: PsyCh Journal
https://www.readbyqxmd.com/read/29671156/alteration-and-role-of-interhemispheric-and-intrahemispheric-connectivity-in-motor-network-after-stroke
#9
Jungsoo Lee, Eunhee Park, Ahee Lee, Won Hyuk Chang, Dae-Shik Kim, Yun-Hee Kim
This study investigated local and global changes in the motor network using longitudinal resting-state functional magnetic resonance imaging (rs-fMRI). Motor impairment was measured in 81 stroke patients using Fugl-Meyer assessment on the same day as rs-fMRI acquisition at both 2 weeks and 3 months post-stroke. The relationships between network measures and motor function scores were assessed. With regard to local connectivity, interhemispheric connectivity was noticeably altered at each time point. Interhemispheric connectivity was also related to residual motor function and improvement in motor function...
April 18, 2018: Brain Topography
https://www.readbyqxmd.com/read/29668865/association-between-brain-activation-and-functional-connectivity
#10
Dardo Tomasi, Nora D Volkow
The origin of the "resting-state" brain activity recorded with functional magnetic resonance imaging (fMRI) is still uncertain. Here we provide evidence for the neurovascular origins of the amplitude of the low-frequency fluctuations (ALFF) and the local functional connectivity density (lFCD) by comparing them with task-induced blood-oxygen level dependent (BOLD) responses, which are considered a proxy for neuronal activation. Using fMRI data for 2 different tasks (Relational and Social) collected by the Human Connectome Project in 426 healthy adults, we show that ALFF and lFCD have linear associations with the BOLD response...
April 13, 2018: Cerebral Cortex
https://www.readbyqxmd.com/read/29667272/different-brain-networks-underlying-intelligence-in-autism-spectrum-disorders
#11
Emmanuel Peng Kiat Pua, Charles B Malpas, Stephen C Bowden, Marc L Seal
There has been sustained clinical and cognitive neuroscience research interest in how network correlates of brain-behavior relationships might be altered in Autism Spectrum Disorders (ASD) and other neurodevelopmental disorders. As previous work has mostly focused on adults, the nature of whole-brain connectivity networks underlying intelligence in pediatric cohorts with abnormal neurodevelopment requires further investigation. We used network-based statistics (NBS) to examine the association between resting-state functional Magnetic Resonance Imaging (fMRI) connectivity and fluid intelligence ability in male children (n = 50) with Autism Spectrum Disorders (ASD; M = 10...
April 17, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29666636/modulating-brain-connectivity-by-simultaneous-dual-mode-stimulation-over-bilateral-primary-motor-cortices-in-subacute-stroke-patients
#12
Jungsoo Lee, Eunhee Park, Ahee Lee, Won Hyuk Chang, Dae-Shik Kim, Yong-Il Shin, Yun-Hee Kim
Repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS) has been used for the modulation of stroke patients' motor function. Recently, more challenging approaches have been studied. In this study, simultaneous stimulation using both rTMS and tDCS (dual-mode stimulation) over bilateral primary motor cortices (M1s) was investigated to compare its modulatory effects with single rTMS stimulation over the ipsilesional M1 in subacute stroke patients. Twenty-four patients participated; 12 participants were assigned to the dual-mode stimulation group while the other 12 participants were assigned to the rTMS-only group...
2018: Neural Plasticity
https://www.readbyqxmd.com/read/29665711/is-rest-really-rest-resting-state-functional-connectivity-during-rest-and-motor-task-paradigms
#13
Michael T Jurkiewicz, Adrian P Crawley, David J Mikulis
Numerous studies have identified the default mode network (DMN) within the brain of healthy individuals, which has been attributed to the ongoing mental activity of the brain during the wakeful resting-state. While engaged during specific resting-state fMRI paradigms, it remains unclear as to whether traditional block-design simple movement fMRI experiments significantly influence the default mode network or other areas. Using blood-oxygen level dependent (BOLD) fMRI we characterized the pattern of functional connectivity in healthy subjects during a resting-state paradigm and compared this to the same resting-state analysis performed on motor task data residual time courses after regressing out the task paradigm...
April 18, 2018: Brain Connectivity
https://www.readbyqxmd.com/read/29665699/characterizing-signals-within-lesions-and-mapping-brain-network-connectivity-after-traumatic-axonal-injury-a-7-tesla-resting-state-fmri-study
#14
Seul Lee, Jonathan R Polimeni, Collin M Price, Brian L Edlow, Jennifer A McNab
Resting-state functional magnetic resonance imaging (RS-FMRI) has been widely used to map brain functional connectivity, but it is unclear how to probe connectivity within and around lesions. Here we characterize RS-FMRI signal time-course properties and evaluate different seed placements within and around hemorrhagic traumatic axonal injury lesions. RS-FMRI was performed on a 7 Tesla scanner in a patient who recovered consciousness after traumatic coma and in three healthy controls. Eleven lesions in the patient were characterized in terms of: 1) temporal signal-to-noise ratio (tSNR); 2) physiological noise, through comparison of noise regressors derived from the white matter (WM), cerebrospinal fluid (CSF) and gray matter (GM); and 3) seed-based functional connectivity...
April 18, 2018: Brain Connectivity
https://www.readbyqxmd.com/read/29664902/a-general-prediction-model-for-the-detection-of-adhd-and-autism-using-structural-and-functional-mri
#15
Bhaskar Sen, Neil C Borle, Russell Greiner, Matthew R G Brown
This work presents a novel method for learning a model that can diagnose Attention Deficit Hyperactivity Disorder (ADHD), as well as Autism, using structural texture and functional connectivity features obtained from 3-dimensional structural magnetic resonance imaging (MRI) and 4-dimensional resting-state functional magnetic resonance imaging (fMRI) scans of subjects. We explore a series of three learners: (1) The LeFMS learner first extracts features from the structural MRI images using the texture-based filters produced by a sparse autoencoder...
2018: PloS One
https://www.readbyqxmd.com/read/29662446/a-knowledge-based-arrangement-of-prototypical-neural-representation-prior-to-experience-contributes-to-selectivity-in-upcoming-knowledge-acquisition
#16
Hiroki Kurashige, Yuichi Yamashita, Takashi Hanakawa, Manabu Honda
Knowledge acquisition is a process in which one actively selects a piece of information from the environment and assimilates it with prior knowledge. However, little is known about the neural mechanism underlying selectivity in knowledge acquisition. Here we executed a 2-day human experiment to investigate the involvement of characteristic spontaneous activity resembling a so-called "preplay" in selectivity in sentence comprehension, an instance of knowledge acquisition. On day 1, we presented 10 sentences (prior sentences) that were difficult to understand on their own...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29662444/distinctive-correspondence-between-separable-visual-attention-functions-and-intrinsic-brain-networks
#17
Adriana L Ruiz-Rizzo, Julia Neitzel, Hermann J Müller, Christian Sorg, Kathrin Finke
Separable visual attention functions are assumed to rely on distinct but interacting neural mechanisms. Bundesen's "theory of visual attention" (TVA) allows the mathematical estimation of independent parameters that characterize individuals' visual attentional capacity (i.e., visual processing speed and visual short-term memory storage capacity) and selectivity functions (i.e., top-down control and spatial laterality). However, it is unclear whether these parameters distinctively map onto different brain networks obtained from intrinsic functional connectivity, which organizes slowly fluctuating ongoing brain activity...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29659087/robust-spinal-cord-resting-state-fmri-using-independent-component-analysis-based-nuisance-regression-noise-reduction
#18
Yong Hu, Richu Jin, Guangsheng Li, Keith Dk Luk, Ed X Wu
BACKGROUND: Physiological noise reduction plays a critical role in spinal cord (SC) resting-state fMRI (rsfMRI). PURPOSE: To reduce physiological noise and increase the robustness of SC rsfMRI by using an independent component analysis (ICA)-based nuisance regression (ICANR) method. STUDY TYPE: Retrospective. SUBJECTS: Ten healthy subjects (female/male = 4/6, age = 27 ± 3 years, range 24-34 years). FIELD STRENGTH/SEQUENCE: 3T/gradient-echo echo planar imaging (EPI)...
April 16, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29657509/a-tensor-statistical-model-for-quantifying-dynamic-functional-connectivity
#19
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
Functional connectivity (FC) has been widely investigated in many imaging-based neuroscience and clinical studies. Since functional Magnetic Resonance Image (MRI) signal is just an indirect reflection of brain activity, it is difficult to accurately quantify the FC strength only based on signal correlation. To address this limitation, we propose a learning-based tensor model to derive high sensitivity and specificity connectome biomarkers at the individual level from resting-state fMRI images. First, we propose a learning-based approach to estimate the intrinsic functional connectivity...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/29656446/hemodynamic-response-function-hrf-variability-confounds-resting-state-fmri-functional-connectivity
#20
D Rangaprakash, Guo-Rong Wu, Daniele Marinazzo, Xiaoping Hu, Gopikrishna Deshpande
PURPOSE: fMRI is the convolution of the hemodynamic response function (HRF) and unmeasured neural activity. HRF variability (HRFv) across the brain could, in principle, alter functional connectivity (FC) estimates from resting-state fMRI (rs-fMRI). Given that HRFv is driven by both neural and non-neural factors, it is problematic when it confounds FC. However, this aspect has remained largely unexplored even though FC studies have grown exponentially. We hypothesized that HRFv confounds FC estimates in the brain's default-mode-network...
April 15, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
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