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https://www.readbyqxmd.com/read/28337552/clinical-utility-of-resting-state-functional-connectivity-magnetic-resonance-imaging-for-mood-and-cognitive-disorders
#1
REVIEW
T Takamura, T Hanakawa
Although functional magnetic resonance imaging (fMRI) has long been used to assess task-related brain activity in neuropsychiatric disorders, it has not yet become a widely available clinical tool. Resting-state fMRI (rs-fMRI) has been the subject of recent attention in the fields of basic and clinical neuroimaging research. This method enables investigation of the functional organization of the brain and alterations of resting-state networks (RSNs) in patients with neuropsychiatric disorders. Rs-fMRI does not require participants to perform a demanding task, in contrast to task fMRI, which often requires participants to follow complex instructions...
March 23, 2017: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28333946/structural-and-functional-connectional-fingerprints-in-mild-cognitive-impairment-and-alzheimer-s-disease-patients
#2
Seong-Jin Son, Jonghoon Kim, Hyunjin Park
Regional volume atrophy and functional degeneration are key imaging hallmarks of Alzheimer's disease (AD) in structural and functional magnetic resonance imaging (MRI), respectively. We jointly explored regional volume atrophy and functional connectivity to better characterize neuroimaging data of AD and mild cognitive impairment (MCI). All data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We compared regional volume atrophy and functional connectivity in 10 subcortical regions using structural MRI and resting-state functional MRI (rs-fMRI)...
2017: PloS One
https://www.readbyqxmd.com/read/28328579/resting-state-functional-connectivity-predicts-longitudinal-pain-symptom-change-in-urologic-chronic-pelvic-pain-syndrome-a-mapp-network-study
#3
Jason J Kutch, Jennifer S Labus, Richard E Harris, Katherine T Martucci, Melissa A Farmer, Sonja Fenske, Connor Fling, Eric Ichesco, Scott Peltier, Bogdan Petre, Wensheng Guo, Xiaoling Hou, Alisa J Stephens, Chris Mullins, Daniel J Clauw, Sean C Mackey, A Vania Apkarian, J Richard Landis, Emeran A Mayer
Chronic pain symptoms often change over time, even in individuals who have had symptoms for years. Studying biological factors that predict trends in symptom change in chronic pain may uncover novel pathophysiological mechanisms and potential therapeutic targets. In this study, we investigated whether brain functional connectivity measures obtained from resting-state functional MRI (rs-fMRI) at baseline can predict longitudinal symptom change (3, 6, and 12 months post-scan) in urologic chronic pelvic pain syndrome (UCPPS)...
March 17, 2017: Pain
https://www.readbyqxmd.com/read/28321594/disrupted-functional-connectivity-of-periaqueductal-gray-subregions-in-episodic-migraine
#4
Zhiye Chen, Xiaoyan Chen, Mengqi Liu, Shuangfeng Liu, Lin Ma, Shengyuan Yu
BACKGROUND: The periaqueductal gray (PAG) dysfunction was recognized in migraine, and the altered dysfunction of PAG subregions were not totally detected up to now. The aim of this study is to investigate the altered functional connectivity of PAG subregions in EM patients. METHODS: The brain structural images and resting state functional MR imaging (rs-fMRI) data were obtained from 18 normal controls (NC) and 18 EM patients on 3.0 T MR system. Seven subregions of PAG were classified as bilateral ventrolateral PAG (vlPAG), lateral PAG (lPAG), dorsolateral PAG (dlPAG) and dorsomedial PAG (dmPAG)...
December 2017: Journal of Headache and Pain
https://www.readbyqxmd.com/read/28318985/functional-disconnection-of-thalamic-and-cerebellar-dentate-nucleus-networks-in-progressive-supranuclear-palsy-and-corticobasal-syndrome
#5
Neeraj Upadhyay, Antonio Suppa, Maria Cristina Piattella, Costanza Giannì, Matteo Bologna, Flavio Di Stasio, Nikolaos Petsas, Francesca Tona, Giovanni Fabbrini, Alfredo Berardelli, Patrizia Pantano
AIM: To assess functional rearrangement following neurodegeneration in the thalamus and dentate nucleus in patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). METHODS: We recruited 19 patients with PSP, 11 with CBS and 14 healthy subjects. All the subjects underwent resting-state (rs) fMRI using a 3T system. Whole brain functional connectivity of the thalamus and dentate nucleus were calculated by means of a seed-based approach with FEAT script in FSL toolbox...
March 15, 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28315459/dynamic-reorganization-of-intrinsic-functional-networks-in-the-mouse-brain
#6
Joanes Grandjean, Maria Giulia Preti, Thomas A W Bolton, Michaela Buerge, Erich Seifritz, Christopher R Pryce, Dimitri Van De Ville, Markus Rudin
Functional connectivity (FC) derived from resting-state functional magnetic resonance imaging (rs-fMRI) allows for the integrative study of neuronal processes at a macroscopic level. The majority of studies to date have assumed stationary interactions between brain regions, without considering the dynamic aspects of network organization. Only recently has the latter received increased attention, predominantly in human studies. Applying dynamic FC (dFC) analysis to mice is attractive given the relative simplicity of the mouse brain and the possibility to explore mechanisms underlying network dynamics using pharmacological, environmental or genetic interventions...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28295805/resting-state-functional-connectivity-and-cognitive-dysfunction-correlations-in-spinocerebelellar-ataxia-type-6-sca6
#7
Licia Pereira, Raag D Airan, Ann Fishman, Jay J Pillai, Kalyani Kansal, Chiadi U Onyike, Jerry L Prince, Sarah H Ying, Haris I Sair
OBJECTIVE: The aim of this study is to evaluate the correlation between resting state functional MRI (RS-fMRI) activity and motor and cognitive impairment in spinocerebellar ataxia type 6 (SCA6). METHODS: Twelve patients with genetically confirmed SCA6 and 14 age matched healthy controls were imaged with RS-fMRI. Whole brain gray matter was automatically parcellated into 1000 regions of interest (ROIs). For each ROI, the first eigenvariate of voxel time courses was extracted...
March 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28293185/hypoconnectivity-of-resting-state-networks-in-persons-with-aphasia-compared-with-healthy-age-matched-adults
#8
Chaleece W Sandberg
Aphasia is a language disorder affecting more than one million people in the US. While language function has traditionally been the focus of neuroimaging research, other cognitive functions are affected in this population, which has implications not only for those specific processes but also for the interaction of language and other cognitive functions. Resting state fMRI (rs-fMRI) is a practical and informative way to explore and characterize general cognitive engagement and/or health in this population, but it is currently underutilized...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28286064/predicting-conversion-from-mci-to-ad-using-resting-state-fmri-graph-theoretical-approach-and-svm
#9
Seyed Hani Hojjati, Ata Ebrahimzadeh, Ali Khazaee, Abbas Babajani-Feremi
BACKGROUND: We investigated identifying patients with mild cognitive impairment (MCI) who progress to Alzheimer's disease (AD), MCI converter (MCI-C), from those with MCI who do not progress to AD, MCI non-converter (MCI-NC), based on resting-state fMRI (rs-fMRI). NEW METHOD: Graph theory and machine learning approach were utilized to predict progress of patients with MCI to AD using rs-fMRI. Eighteen MCI converts (average age 73.6 years; 11 male) and 62 age-matched MCI non-converters (average age 73...
March 9, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28278208/parallel-group-independent-component-analysis-for-massive-fmri-data-sets
#10
Shaojie Chen, Lei Huang, Huitong Qiu, Mary Beth Nebel, Stewart H Mostofsky, James J Pekar, Martin A Lindquist, Ani Eloyan, Brian S Caffo
Independent component analysis (ICA) is widely used in the field of functional neuroimaging to decompose data into spatio-temporal patterns of co-activation. In particular, ICA has found wide usage in the analysis of resting state fMRI (rs-fMRI) data. Recently, a number of large-scale data sets have become publicly available that consist of rs-fMRI scans from thousands of subjects. As a result, efficient ICA algorithms that scale well to the increased number of subjects are required. To address this problem, we propose a two-stage likelihood-based algorithm for performing group ICA, which we denote Parallel Group Independent Component Analysis (PGICA)...
2017: PloS One
https://www.readbyqxmd.com/read/28277456/resting-state-bold-mri-for-perfusion-and-ischemia
#11
Hannes Kroll, Greg Zaharchuk, Thomas Christen, Jeremy J Heit, Michael Iv
Advanced imaging techniques including computed tomography (CT) angiography, CT perfusion, magnetic resonance (MR) angiography, MR with diffusion- and perfusion-weighted imaging, and, more recently, resting-state BOLD (Blood Oxygen Level Dependent) functional MRI (rs-fMRI) are increasingly used to evaluate patients with acute ischemic stroke. Advanced imaging allows for identification of patients with ischemic stroke and determination of the size of infarcted and potentially salvageable tissue, all of which yield crucial information for proper stroke management...
March 8, 2017: Topics in Magnetic Resonance Imaging: TMRI
https://www.readbyqxmd.com/read/28274168/resting-state-effective-connectivity-allows-auditory-hallucination%C3%A2-discrimination
#12
Manuel Graña, Leire Ozaeta, Darya Chyzhyk
Hallucinations are elusive phenomena that have been associated with psychotic behavior, but that have a high prevalence in healthy population. Some generative mechanisms of Auditory Hallucinations (AH) have been proposed in the literature, but so far empirical evidence is scarce. The most widely accepted generative mechanism hypothesis nowadays consists in the faulty workings of a network of brain areas including the emotional control, the audio and language processing, and the inhibition and self-attribution of the signals in the auditive cortex...
February 1, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28269515/measures-of-the-brain-functional-network-that-correlate-with-alzheimer-s-neuropsychological-test-scores-an-fmri-and-graph-analysis-study
#13
Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh
Neural degeneration in Alzheimer's disease (AD) leads to structural topology deformation that in turn changes brain functionality. The main aim of the present study is to find the brain's functional connectivity network (FCN) correlates of Alzheimer's psychological test scores. To this end, the brain's FCN is extracted from the resting state functional magnetic resonance images (rs-fMRI) of healthy controls and patients with AD and represented as a graph. Then, network measures are calculated from the graphs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269177/recursive-feature-elimination-for-biomarker-discovery-in-resting-state-functional-connectivity
#14
Hariharan Ravishankar, Radhika Madhavan, Rakesh Mullick, Teena Shetty, Luca Marinelli, Suresh E Joel
Biomarker discovery involves finding correlations between features and clinical symptoms to aid clinical decision. This task is especially difficult in resting state functional magnetic resonance imaging (rs-fMRI) data due to low SNR, high-dimensionality of images, inter-subject and intra-subject variability and small numbers of subjects compared to the number of derived features. Traditional univariate analysis suffers from the problem of multiple comparisons. Here, we adopt an alternative data-driven method for identifying population differences in functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268524/differences-in-connectivity-patterns-between-child-and-adolescent-attention-deficit-hyperactivity-disorder-patients
#15
Bo-Yong Park, Jonghoon Kim, Hyunjin Park
Attention deficit hyperactivity disorder (ADHD) is a common psychological disorder for a broad range of ages. Child and adolescent ADHD patients show different behavior patterns. The differences between child and adolescent ADHD patients have not been fully explored in terms of brain connectivity. In this study, we explored the differences of connectivity patterns between child and adolescent ADHD patients using resting-state functional magnetic resonance imaging (rs-fMRI) of 52 ADHD patients (26 children and 26 adolescents)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28265121/brain-structural-and-functional-signatures-of-impulsive-compulsive-behaviours-in-parkinson-s-disease
#16
F Imperiale, F Agosta, E Canu, V Markovic, A Inuggi, M Jecmenica-Lukic, A Tomic, M Copetti, S Basaia, V S Kostic, M Filippi
This study assessed brain structural and functional alterations in patients with Parkinson's disease and impulsive-compulsive behaviours (PD-ICB) compared with controls and PD no-ICB cases. Eighty-five PD patients (35 PD-ICB) and 50 controls were recruited. All subjects underwent three-dimensional T1-weighted, diffusion tensor (DT), and resting state functional magnetic resonance imaging (RS fMRI). We assessed cortical thickness with surface-based morphometry, subcortical volumes using FIRST, DT MRI metrics using region of interest and tractography approaches, and RS fMRI using a model free approach...
March 7, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/28261504/thalamo-sensorimotor-functional-connectivity-correlates-with-world-ranking-of-olympic-elite-and-high-performance-athletes
#17
Zirui Huang, Henry Hap Davis Iv, Annemarie Wolff, Georg Northoff
Brain plasticity studies have shown functional reorganization in participants with outstanding motor expertise. Little is known about neural plasticity associated with exceptionally long motor training or of its predictive value for motor performance excellence. The present study utilised resting-state functional magnetic resonance imaging (rs-fMRI) in a unique sample of world-class athletes: Olympic, elite, and internationally ranked swimmers (n = 30). Their world ranking ranged from 1st to 250th: each had prepared for participation in the Olympic Games...
2017: Neural Plasticity
https://www.readbyqxmd.com/read/28249785/identifying-the-presence-of-parkinson-s-disease-using-low-frequency-fluctuations-in-bold-signals
#18
Yan Tang, Li Meng, Chang-Min Wan, Zhen-Hua Liu, Wei-Hua Liao, Xin-Xiang Yan, Xiao-Yu Wang, Bei-Sha Tang, Ji-Feng Guo
Parkinson's disease (PD) is a chronic, progressive, and degenerative neurological disorder that is characterized by the degeneration of dopamine neurons in the substantia nigra and the formation of intracellular Lewy inclusion bodies. Resting-state functional magnetic resonance imaging (RS-fMRI) has demonstrated evidence of changes in metabolic patterns in individuals with PD. The purpose of this study was to determine whether the presence of PD could be "predicted" based on resting fluctuations in the blood oxygenation level dependent signal...
February 27, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28245732/cortical-plasticity-after-brachial-plexus-injury-and-repair-a-resting-state-functional-mri-study
#19
Dhananjaya I Bhat, B Indira Devi, Komal Bharti, Rajanikant Panda
OBJECTIVE The authors aimed to understand the alterations of brain resting-state networks (RSNs) in patients with pan-brachial plexus injury (BPI) before and after surgery, which might provide insight into cortical plasticity after peripheral nerve injury and regeneration. METHODS Thirty-five patients with left pan-BPI before surgery, 30 patients after surgery, and 25 healthy controls underwent resting-state functional MRI (rs-fMRI). The 30 postoperative patients were subdivided into 2 groups: 14 patients with improvement in muscle power and 16 patients with no improvement in muscle power after surgery...
March 2017: Neurosurgical Focus
https://www.readbyqxmd.com/read/28243196/abnormal-spontaneous-brain-activity-in-women-with-premenstrual-syndrome-revealed-by-regional-homogeneity
#20
Hai Liao, Yong Pang, Peng Liu, Huimei Liu, Gaoxiong Duan, Yanfei Liu, Lijun Tang, Jien Tao, Danhong Wen, Shasha Li, Lingyan Liang, Demao Deng
Background: Previous studies have revealed that the etiologies of premenstrual syndrome (PMS) refer to menstrual cycle related brain changes. However, its intrinsic neural mechanism is still unclear. The aim of the present study was to assess abnormal spontaneous brain activity and to explicate the intricate neural mechanism of PMS using resting state functional magnetic resonance imaging (RS-fMRI). Materials and Methods: The data of 20 PMS patients (PMS group) and 21 healthy controls (HC group) were analyzed by regional homogeneity (ReHo) method during the late luteal phase of menstrual cycle...
2017: Frontiers in Human Neuroscience
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