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https://www.readbyqxmd.com/read/28649677/outcome-prediction-for-patient-with-high-grade-gliomas-from-brain-functional-and-structural-networks
#1
Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis. To help optimize treatment strategy, accurate preoperative prediction of HGG patient's outcome (i.e., survival time) is of great clinical value. However, there are huge individual variability of HGG, which produces a large variation in survival time, thus making prognostic prediction more challenging. Previous brain imaging-based outcome prediction studies relied only on the imaging intensity inside or slightly around the tumor, while ignoring any information that is located far away from the lesion (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28648285/simultaneous-learning-of-two-languages-from-birth-positively-impacts-intrinsic-functional-connectivity-and-cognitive-control
#2
Shanna Kousaie, Xiaoqian J Chai, Kaija M Sander, Denise Klein
This study explores the effect of individual differences in the age of acquisition of a second language using resting-state functional magnetic resonance imaging (rs-fMRI) to examine functional connectivity and its relation with cognitive control within bilinguals. We compared simultaneous bilinguals, who learned two languages from birth, to sequential bilinguals, who learned a second language following mastery of their first language. Results show an effect of language experience on the strength of anticorrelation between the default mode network and the task-positive attention network and on cognitive control, with simultaneous bilinguals demonstrating stronger anticorrelations between the two networks, as well as superior cognitive control compared to sequential bilinguals...
June 22, 2017: Brain and Cognition
https://www.readbyqxmd.com/read/28647831/alterations-in-regional-homogeneity-of-resting-state-brain-activity-in-fatigue-of-parkinson-s-disease
#3
Junyi Li, Yongsheng Yuan, Min Wang, Jiejin Zhang, Li Zhang, Siming Jiang, Jian Ding, Kezhong Zhang
Fatigue is a common complaint in patients with Parkinson's disease (PD). However, the neural bases of fatigue in PD remain uncertain. In this cross-sectional study, our aim was to study the change of the local brain function in PD patients with fatigue. Among 49 patients with PD, 17 of them had fatigue and the remaining 32 patients without fatigue, and 25 age- and gender-matched healthy controls were enrolled. All subjects were evaluated with Fatigue Severity Scale (FSS) and had a resting-state functional magnetic resonance imaging (rs-fMRI) scan...
June 24, 2017: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28638719/abnormal-amplitude-of-low-frequency-fluctuations-and-functional-connectivity-of-resting-state-functional-magnetic-resonance-imaging-in-patients-with-leukoaraiosis
#4
Rongchuan Cheng, Honglin Qi, Yong Liu, Shifu Zhao, Chuanming Li, Chen Liu, Jian Zheng
INTRODUCTION: This study aimed to investigate the cerebral function deficits in patients with leukoaraiosis (LA) and the correlation with white matter hyperintensity (WMH) using functional MRI (fMRI) technology. MATERIALS AND METHODS: Twenty-eight patients with LA and 30 volunteers were enrolled in this study. All patients underwent structural MRI and resting-state functional MRI (rs-fMRI) scanning. The amplitude of low-frequency fluctuations (ALFF) of rs-fMRI signals for the two groups was compared using two-sample t tests...
June 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28636929/intrinsic-functional-connectivity-alteration-of-dorsal-and-rostral-anterior-cingulate-cortex-in-obsessive-compulsive-disorder-a-resting-fmri-study
#5
Zongfeng Zhang, Qing Fan, Yajing Zhu, Ling Tan, Yongjun Chen, Rui Gao, Haiyin Zhang, Yao Li, Zeping Xiao
Cortico-striato-thalamo-cortical (CSTC) circuit has been implicated in OCD pathophysiology by converging neuroimaging findings. The anterior cingulate cortex (ACC), as an important part within CSTC circuit, plays a critical role in OCD etiology. The ACC can be divided into dorsal and rostral parts anatomically, which are involved in cognitive process and emotional function, respectively. However, the diverse function of intrinsic signals from dorsal and rostral ACC regions remains unclear in OCD study. In this work, we applied resting-state functional magnetic resonance imaging (rs-fMRI) technology to investigate and differentiate the functional connectivity (FC) characteristics between dACC and rACC in unmedicated OCD patients...
June 18, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28634439/inconsistency-in-abnormal-brain-activity-across-cohorts-of-adhd-200-in-children-with-attention-deficit-hyperactivity-disorder
#6
Jian-Bao Wang, Li-Jun Zheng, Qing-Jiu Cao, Yu-Feng Wang, Li Sun, Yu-Feng Zang, Hang Zhang
Many papers have shown results from the multi-site dataset of resting-state fMRI (rs-fMRI) in attention deficit hyperactivity disorder (ADHD), a data-sharing project named ADHD-200. However, few studies have illustrated that to what extent the pooled findings were consistent across cohorts. The present study analyzed three voxel-wise whole-brain metrics, i.e., amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) based on the pooled dataset as well as individual cohort of ADHD-200...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28617520/abnormal-spontaneous-brain-activity-in-patients-with-anisometropic-amblyopia-using-resting-state-functional-magnetic-resonance-imaging
#7
Angcang Tang, Taolin Chen, Junran Zhang, Qiyong Gong, Longqian Liu
PURPOSE: To explore the abnormality of spontaneous activity in patients with anisometropic amblyopia under resting-state functional magnetic resonance imaging (Rs-fMRI). METHODS: Twenty-four participants were split into two groups. The anisometropic amblyopia group had 10 patients, all of whom had anisometropic amblyopia of the right eye, and the control group had 14 healthy subjects. All participants underwent Rs-fMRI scanning. Measurement of amplitude of low frequency fluctuations of the brain, which is a measure of the amplitudes of spontaneous brain activity, was used to investigate brain changes between the anisometropic amblyopia and control groups...
June 15, 2017: Journal of Pediatric Ophthalmology and Strabismus
https://www.readbyqxmd.com/read/28616381/anosognosia-for-memory-deficits-in-mild-cognitive-impairment-insight-into-the-neural-mechanism-using-functional-and-molecular-imaging
#8
Patrizia Vannini, Bernard Hanseeuw, Catherine E Munro, Rebecca E Amariglio, Gad A Marshall, Dorene M Rentz, Alvaro Pascual-Leone, Keith A Johnson, Reisa A Sperling
Anosognosia, or loss of insight of memory deficits, is a common and striking symptom in Alzheimer's disease (AD). Previous findings in AD dementia patients suggest that anosognosia is due to both functional metabolic changes within cortical midline structures involved in self-referential processes, as well as functional disconnection between these regions. The present study aims to extend these findings by investigating the neural correlates of anosognosia in the prodromal stage of AD. Here, we used regional brain metabolism (resting state 18-F fluorodeoxyglucose positron emission tomography (FDG-PET)) to unravel the metabolic correlates of anosognosia in subjects with amnestic mild cognitive impairment (aMCI) and subsequently resting state functional magnetic resonance imaging (rs-fMRI) to investigate the intrinsic connectivity disruption between brain regions...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28603791/automatic-hippocampal-subfield-segmentation-from-3t-multi-modality-images
#9
Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen
Hippocampal subfields play important and divergent roles in both memory formation and early diagnosis of many neurological diseases, but automatic subfield segmentation is less explored due to its small size and poor image contrast. In this paper, we propose an automatic learning-based hippocampal subfields segmentation framework using multi-modality 3TMR images, including T1 MRI and resting-state fMRI (rs-fMRI). To do this, we first acquire both 3T and 7T T1 MRIs for each training subject, and then the 7T T1 MRI are linearly registered onto the 3T T1 MRI...
October 2016: Machine Learning in Medical Imaging
https://www.readbyqxmd.com/read/28596484/chemotherapy-induced-changes-of-cerebral-activity-in-resting-state-functional-magnetic-resonance-imaging-and-cerebral-white-matter-in-diffusion-tensor-imaging
#10
Caiqin Mo, Hailong Lin, Fangmeng Fu, Lin Lin, Jie Zhang, Meng Huang, Chuan Wang, Yunjing Xue, Qing Duan, Weiwen Lin, Xiangjin Chen
While chemotherapy related cognitive disorder has been described in many studies, but we still lack relatively reliable and objective diagnostic tools, and there are few similar studies in Asian patients. We recruited Asian breast cancer patients to perform a cohort study to uncover chemotherapy related cognitive disorder by using resting-state functioning magnetic resonance imaging (RS-fMRI) and magnetic resonance diffusion tensor imaging (DTI) combined with neuropsychologic assessments. This is the first prospective study which combines RS-fMRI and DTI to detect chemotherapy related cognitive disorder...
May 23, 2017: Oncotarget
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
#11
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
https://www.readbyqxmd.com/read/28582450/spontaneous-low-frequency-bold-signal-variations-from-resting-state-fmri-are-decreased-in-alzheimer-disease
#12
Samaneh Kazemifar, Kathryn Y Manning, Nagalingam Rajakumar, Francisco A Gómez, Andrea Soddu, Michael J Borrie, Ravi S Menon, Robert Bartha
Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative...
2017: PloS One
https://www.readbyqxmd.com/read/28572765/white-matter-structural-connectivity-is-not-correlated-to-cortical-resting-state-functional-connectivity-over-the-healthy-adult-lifespan
#13
Adrian Tsang, Catherine A Lebel, Signe L Bray, Bradley G Goodyear, Moiz Hafeez, Roberto C Sotero, Cheryl R McCreary, Richard Frayne
Structural connectivity (SC) of white matter (WM) and functional connectivity (FC) of cortical regions undergo changes in normal aging. As WM tracts form the underlying anatomical architecture that connects regions within resting state networks (RSNs), it is intuitive to expect that SC and FC changes with age are correlated. Studies that investigated the relationship between SC and FC in normal aging are rare, and have mainly compared between groups of elderly and younger subjects. The objectives of this work were to investigate linear SC and FC changes across the healthy adult lifespan, and to define relationships between SC and FC measures within seven whole-brain large scale RSNs...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28566724/aberrant-intra-and-internetwork-functional-connectivity-in-depressed-parkinson-s-disease
#14
Luqing Wei, Xiao Hu, Yajing Zhu, Yonggui Yuan, Weiguo Liu, Hong Chen
Much is known concerning the underlying mechanisms of Parkinson's disease (PD) with depression, but our understanding of this disease at the neural-system level remains incomplete. This study used resting-state functional MRI (rs-fMRI) and independent component analysis (ICA) to investigate intrinsic functional connectivity (FC) within and between large-scale neural networks in 20 depressed PD (dPD) patients, 35 non-depressed PD (ndPD) patients, and 34 healthy controls (HC). To alleviate the influence caused by ICA model order selection, this work reported results from analyses at 2 levels (low and high model order)...
May 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28559843/altered-functional-connectivity-of-cognitive-related-cerebellar-subregions-in-alzheimer-s-disease
#15
Weimin Zheng, Xingyun Liu, Haiqing Song, Kuncheng Li, Zhiqun Wang
Alzheimer's disease (AD) is the most common cause of dementia. Previous studies have found disrupted resting state functional connectivities (rsFCs) in various brain networks in the AD patients. However, few studies have focused on the rsFCs of the cerebellum and its sub-regions in the AD patients. In this study, we collected resting-state functional magnetic resonance imaging (rs-fMRI) data including 32 AD patients and 38 healthy controls (HCs). We selected two cognitive-related subregions of the cerebellum as seed region and mapped the whole-brain rsFCs for each subregion...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28559793/initial-validation-for-the-estimation-of-resting-state-fmri-effective-connectivity-by-a-generalization-of-the-correlation-approach
#16
Nan Xu, R Nathan Spreng, Peter C Doerschuk
Resting-state functional MRI (rs-fMRI) is widely used to noninvasively study human brain networks. Network functional connectivity is often estimated by calculating the timeseries correlation between blood-oxygen-level dependent (BOLD) signal from different regions of interest (ROIs). However, standard correlation cannot characterize the direction of information flow between regions. In this paper, we introduce and test a new concept, prediction correlation, to estimate effective connectivity in functional brain networks from rs-fMRI...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28559191/hope-and-the-brain-trait-hope-mediates-the-protective-role-of-medial-orbitofrontal-cortex-spontaneous-activity-against-anxiety
#17
Song Wang, Xin Xu, Ming Zhou, Taolin Chen, Xun Yang, Guangxiang Chen, Qiyong Gong
As a central research topic in the field of positive psychology, hope refers to an individual's goal-oriented expectations that include both agency thinking (i.e., the motivation to initiate and sustain actions to achieve goals) and pathway thinking (i.e., the capacity to find ways toward goals). Evidence from many previous studies has shown the role of hope in protecting against anxiety. However, little is known about the neurobiological basis of hope and the underlying mechanism that how hope reduces anxiety in the brain...
May 27, 2017: NeuroImage
https://www.readbyqxmd.com/read/28553253/resting-state-fmri-associated-with-stop-signal-task-performance-in-healthy-middle-aged-and-elderly-people
#18
Hsing-Hao Lee, Shulan Hsieh
Several brain regions and connectivity networks may be altered as aging occurs. We are interested in investigating if resting-state functional magnetic resonance imaging (RS-fMRI) can also be valid as an indicator of individual differences in association with inhibition performance among aged (including middle-aged) people. Seventy-two healthy adults (40-77 years of age) were recruited. Their RS-fMRI images were acquired and analyzed via two cluster-analysis methods: local synchronization of spontaneous brain activity measured by regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) of blood oxygenation level-dependent signals...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28553199/aberrant-functional-connectivity-architecture-in-participants-with-chronic-insomnia-disorder-accompanying-cognitive-dysfunction-a-whole-brain-data-driven-analysis
#19
Ran Pang, Yafeng Zhan, Yunling Zhang, Rongjuan Guo, Jialin Wang, Xiao Guo, Yong Liu, Zhiqun Wang, Kuncheng Li
Objectives: Although it is widely observed that chronic insomnia disorder (CID) is associated with cognitive impairment, the neurobiological mechanisms underlying this remain unclear. Prior neuroimaging studies have confirmed that a close correlation exists between functional connectivity and cognitive impairment. Based on this observation, in this study we used resting-state functional magnetic resonance imaging (rs-fMRI) to study the relationship between whole brain functional connectivity and cognitive function in CID...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28550250/frequency-dependent-changes-in%C3%A2-the%C3%A2-amplitude-of-low-frequency-fluctuations-in-mild-cognitive-impairment-with-mild-depression
#20
Yuxia Li, Bin Jing, Han Liu, Yifan Li, Xuan Gao, Yongqiu Li, Bin Mu, Haikuo Yu, Jinbo Cheng, Peter B Barker, Hongxing Wang, Ying Han
BACKGROUND: Depression is a potential marker of preclinical Alzheimer's disease (AD). However, little is known about the abnormal characteristics revealed by resting-state functional magnetic resonance imaging (rs-fMRI) in mild cognitive impairment (MCI) subjects with depressive symptoms (MCI-d). OBJECTIVE: The study was to examine whether abnormalities in amplitudes of low-frequency oscillation occurred in MCI-d and tried to find the possible spectrum showed higher recognition ability to the diagnosis by utilizing functional MRI (fMRI)...
2017: Journal of Alzheimer's Disease: JAD
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