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Resting state functional MRI

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https://www.readbyqxmd.com/read/29778509/longitudinal-observations-using-simultaneous-fmri-multiple-channel-electrophysiology-recording-and-chemical-microiontophoresis-in-the-rat-brain
#1
Saul Jaime, Jose E Cavazos, Yihong Yang, Hanbing Lu
BACKGROUND: fMRI blood oxygenation level-dependent (BOLD) signal has been widely used as a surrogate for neural activity. However, interpreting differences in BOLD fMRI based on underlying neuronal activity remains a challenge. Concurrent rsMRI data collection and electrophysiological recording in combination with microiontophoretically injected modulatory chemicals allows for improved understanding of the relationship between resting state BOLD and neuronal activity. NEW METHODS: Simultaneous fMRI, multi-channel intracortical electrophysiology and focal pharmacological manipulation data to be acquired longitudinally in rats for up to 2 months...
May 17, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29777828/mutual-connectivity-analysis-of-resting-state-functional-mri-data-with-local-models
#2
Adora M DSouza, Anas Z Abidin, Udaysankar Chockanathan, Giovanni Schifitto, Axel Wismüller
Functional connectivity analysis of functional MRI (fMRI) can represent brain networks and reveal insights into interactions amongst different brain regions. However, most connectivity analysis approaches adopted in practice are linear and non-directional. In this paper, we demonstrate the advantage of a data-driven, directed connectivity analysis approach called Mutual Connectivity Analysis using Local Models (MCA-LM) that approximates connectivity by modeling nonlinear dependencies of signal interaction, over more conventionally used approaches, such as Pearson's and partial correlation, Patel's conditional dependence measures, etcetera...
May 16, 2018: NeuroImage
https://www.readbyqxmd.com/read/29777822/effects-of-global-signal-regression-and-subtraction-methods-on-resting-state-functional-connectivity-using-arterial-spin-labeling-data
#3
João Paulo Santos Silva, Luciana da Mata Mônaco, André Monteiro Paschoal, Ícaro Agenor Ferreira de Oliveira, Renata Ferranti Leoni
BACKGROUND: Arterial spin labeling (ASL) is an established magnetic resonance imaging (MRI) technique that is finding broader applications in functional studies of the healthy and diseased brain. To promote improvement in cerebral blood flow (CBF) signal specificity, many algorithms and imaging procedures, such as subtraction methods, were proposed to eliminate or, at least, minimize noise sources. Therefore, this study addressed the main considerations of how CBF functional connectivity (FC) is changed, regarding resting brain network (RBN) identification and correlations between regions of interest (ROI), by different subtraction methods and removal of residual motion artifacts and global signal fluctuations (RMAGSF)...
May 16, 2018: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/29766384/increased-functional-meg-connectivity-as-a-hallmark-of-mri-negative-focal-and-generalized-epilepsy
#4
Yiwen Li Hegner, Justus Marquetand, Adham Elshahabi, Silke Klamer, Holger Lerche, Christoph Braun, Niels K Focke
Epilepsy is one of the most prevalent neurological diseases with a high morbidity. Accumulating evidence has shown that epilepsy is an archetypical neural network disorder. Here we developed a non-invasive cortical functional connectivity analysis based on magnetoencephalography (MEG) to assess commonalities and differences in the network phenotype in different epilepsy syndromes (non-lesional/cryptogenic focal and idiopathic/genetic generalized epilepsy). Thirty-seven epilepsy patients with normal structural brain anatomy underwent a 30-min resting state MEG measurement with eyes closed...
May 15, 2018: Brain Topography
https://www.readbyqxmd.com/read/29765105/neural-predisposing-factors-of-postoperative-delirium-in-elderly-patients-with-femoral-neck-fracture
#5
Sunghyon Kyeong, Jung Eun Shin, Kyu Hyun Yang, Woo Suk Lee, Tae-Sub Chung, Jae-Jin Kim
Elderly adults are more likely to develop delirium after major surgery, but there is limited knowledge of the vulnerability for postoperative delirium. In this study, we aimed to identify neural predisposing factors for postoperative delirium and develop a prediction model for estimating an individual's probability of postoperative delirium. Among 57 elderly participants with femoral neck fracture, 25 patients developed postoperative delirium and 32 patients did not. We preoperatively obtained data for clinical assessments, anatomical MRI, and resting-state functional MRI...
May 15, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29761952/-automatic-classification-of-first-episode-drug-naive-schizophrenia-with-multi-modal-magnetic-resonance-imaging
#6
Yongzhe Yang, Yue Zhang, Fengchun Wu, Xiaobing Lu, Yuping Ning, Biao Huang, Xin Du, Chengwei Li, Kaixi Wang, Xiaoming Wu, Kai Wu
A great number of studies have demonstrated the structural and functional abnormalities in chronic schizophrenia (SZ) patients. However, few studies analyzed the differences between first-episode, drug-naive SZ (FESZ) patients and normal controls (NCs). In this study, we recruited 44 FESZ patients and 56 NCs, and acquired their multi-modal magnetic resonance imaging (MRI) data, including structural and resting-state functional MRI data. We calculated gray matter volume (GMV), regional homogeneity (ReHo), amplitude of low frequency fluctuation (ALFF), and degree centrality (DC) of 90 brain regions, basing on an automated anatomical labeling (AAL) atlas...
October 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29761003/the-asymmetry-of-neural-symptoms-in-wilson-s-disease-patients-detecting-by-diffusion-tensor-imaging-resting-state-functional-mri-and-susceptibility-weighted-imaging
#7
Xiang-Xue Zhou, Xun-Hua Li, Ding-Bang Chen, Chao Wu, Li Feng, Jian-Ping Chu, Zhi-Yun Yang, Xin-Bei Li, Haolin Qin, Gui-Dian Li, Hai-Wei Huang, Ying-Ying Liang, Xiu-Ling Liang
Objective: To investigate the cause of the motor asymmetry in Wilson's disease (WD) patients using functional MRI. Methods: Fifty patients with WD and 20 age-matched healthy controls were enrolled. Neurological symptoms were scored using the modified Young Scale. All study subjects underwent diffusion tensor imaging (DTI), susceptibility-weighted imaging (SWI), and resting-state functional MRI (rs-fMRI) of the brain. Six regions of interest (ROI) were chosen. Fiber volumes between ROIs on DTI, corrected phase (CP) values on SWI, amplitude of low-frequency fluctuation (ALFF), and regional homogeneity (REHO) values on rs-fMRI were determined...
May 2018: Brain and Behavior
https://www.readbyqxmd.com/read/29757433/the-effects-of-useful-field-of-view-training-on-brain-activity-and-connectivity
#8
Lesley A Ross, Christina E Webb, Christine Whitaker, Jarrod M Hicks, Erica L Schmidt, Shaadee Samimy, Nancy A Dennis, Kristina M Visscher
Objectives: Useful Field of View training (UFOVt) is an adaptive computerized cognitive intervention that improves visual attention and transfers to maintained health and everyday functioning in older adults. Although its efficacy is well established, the neural mechanisms underlying this intervention are unknown. This pilot study used functional MRI (fMRI) to explore neural changes following UFOVt. Method: Task-driven and resting-state fMRI were used to examine changes in brain activity and connectivity in healthy older adults randomized to 10 hr of UFOVt (n = 13), 10 hr of cognitively stimulating activities (CSA; n = 11), or a no-contact control (NC; n = 10)...
May 11, 2018: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/29755401/impulsivity-in-parkinson-s-disease-is-associated-with-alterations-in-affective-and-sensorimotor-striatal-networks
#9
Marit F L Ruitenberg, Tina Wu, Bruno B Averbeck, Kelvin L Chou, Vincent Koppelmans, Rachael D Seidler
A subset of patients with Parkinson's disease (PD) experiences problems with impulse control, characterized by a loss of voluntary control over impulses, drives, or temptations regarding excessive hedonic behavior. The present study aimed to better understand the neural basis of such impulse control disorders (ICDs) in PD. We collected resting-state functional connectivity and structural MRI data from 21 PD patients with ICDs and 30 patients without such disorders. To assess impulsivity, all patients completed the Barratt Impulsiveness Scale and performed an information-gathering task...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29755313/individualized-functional-parcellation-of-the-human-amygdala-using-a-semi-supervised-clustering-method-a-7t-resting-state-fmri-study
#10
Xianchang Zhang, Hewei Cheng, Zhentao Zuo, Ke Zhou, Fei Cong, Bo Wang, Yan Zhuo, Lin Chen, Rong Xue, Yong Fan
The amygdala plays an important role in emotional functions and its dysfunction is considered to be associated with multiple psychiatric disorders in humans. Cytoarchitectonic mapping has demonstrated that the human amygdala complex comprises several subregions. However, it's difficult to delineate boundaries of these subregions in vivo even if using state of the art high resolution structural MRI. Previous attempts to parcellate this small structure using unsupervised clustering methods based on resting state fMRI data suffered from the low spatial resolution of typical fMRI data, and it remains challenging for the unsupervised methods to define subregions of the amygdala in vivo ...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29753843/using-temporal-ica-to-selectively-remove-global-noise-while-preserving-global-signal-in-functional-mri-data
#11
Matthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, Samuel J Harrison, Michael P Harms, Alan Anticevic, David C Van Essen, Stephen M Smith
Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data also contain structured temporal "noise" from a variety of sources, including subject motion, subject physiology, and the MRI equipment. Recently, methods have been developed to automatically and selectively remove spatially specific structured noise from fMRI data using spatial Independent Components Analysis (ICA) and machine learning classifiers...
May 10, 2018: NeuroImage
https://www.readbyqxmd.com/read/29750986/associations-of-functional-connectivity-and-walking-performance-in-multiple-sclerosis
#12
Rachel E Bollaert, Kyle Poe, Elizabeth A Hubbard, Robert W Motl, Lara A Pilutti, Curtis L Johnson, Bradley P Sutton
BACKGROUND: Persons with multiple sclerosis (MS) often demonstrate impaired walking performance, and neuroimaging methods such as resting state functional connectivity (RSFC) may support a link between central nervous system damage and disruptions in walking. OBJECTIVES: This study examined associations between RSFC in cortical networks and walking performance in persons with MS. METHODS: 29 persons with MS underwent 3-T brain magnetic resonance imaging (MRI) and we computed RSFC among 68 Gy matter regions of interest in the brain...
May 8, 2018: Neuropsychologia
https://www.readbyqxmd.com/read/29749660/spatio-temporal-dynamics-of-resting-state-brain-networks-improve-single-subject-prediction-of-schizophrenia-diagnosis
#13
Akhil Kottaram, Leigh Johnston, Eleni Ganella, Christos Pantelis, Ramamohanarao Kotagiri, Andrew Zalesky
Correlation in functional MRI activity between spatially separated brain regions can fluctuate dynamically when an individual is at rest. These dynamics are typically characterized temporally by measuring fluctuations in functional connectivity between brain regions that remain fixed in space over time. Here, dynamics in functional connectivity were characterized in both time and space. Temporal dynamics were mapped with sliding-window correlation, while spatial dynamics were characterized by enabling network regions to vary in size (shrink/grow) over time according to the functional connectivity profile of their constituent voxels...
May 10, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29749072/individualized-prediction-of-trait-narcissism-from-whole-brain-resting-state-functional-connectivity
#14
Chunliang Feng, Jie Yuan, Haiyang Geng, Ruolei Gu, Hui Zhou, Xia Wu, Yuejia Luo
Narcissism is one of the most fundamental personality traits in which individuals in general population exhibit a large heterogeneity. Despite a surge of interest in examining behavioral characteristics of narcissism in the past decades, the neurobiological substrates underlying narcissism remain poorly understood. Here, we addressed this issue by applying a machine learning approach to decode trait narcissism from whole-brain resting-state functional connectivity (RSFC). Resting-state functional MRI (fMRI) data were acquired for a large sample comprising 155 healthy adults, each of whom was assessed for trait narcissism...
May 10, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29738911/a-comprehensive-evaluation-of-increasing-temporal-resolution-with-multiband-accelerated-protocols-and-effects-on-statistical-outcome-measures-in-fmri
#15
Lysia Demetriou, Oliwia S Kowalczyk, Gabriella Tyson, Thomas Bello, Rexford D Newbould, Matthew B Wall
Accelerated functional Magnetic Resonance Imaging (fMRI) with 'multiband' protocols is now relatively widespread. These protocols can be used to dramatically reduce the repetition time (TR) and produce a time-series sampled at a higher temporal resolution, which may produce benefits in the statistical methods typically used to analyse fMRI data. We tested the effects of higher temporal resolutions for fMRI on statistical outcome measures in a comprehensive manner on two different MRI scanner platforms. Spatial resolution was maintained at a constant of 3 mm isotropic voxels, and an in-plane acceleration factor of 2 was used for all experiments...
May 5, 2018: NeuroImage
https://www.readbyqxmd.com/read/29737186/asymptomatic-hiv-vertical-transmitted-adolescents-brain-functional-changes-based-on-resting-state-functional-mri
#16
Panying Wang, Jielan Li, Xiangyu Wang, Guang-Yao Wu, Deepa Thapa
OBJECTIVE: Perinatal HIV-infected (PHIV+) adolescents survive longer with the use of readily found combination antiretroviral therapy(cART), however, they still have the risk of developing cognitive deficits. The paper aims to explore the brain functional changes in asymptomatic PHIV+ adolescents with cART based on the resting-state functional MRI (rs-fMRI). MATERIALS AND METHODS: rs-fMRI was performed on 20 PHIV+ adolescents and 28 PHIV- controls to evaluate the regional homogeneity (ReHo) in different brain regions by calculating the Kendall harmonious coefficient(KCC)...
May 8, 2018: AIDS Research and Human Retroviruses
https://www.readbyqxmd.com/read/29733955/structural-and-functional-connectivity-of-the-nondecussating-dentato-rubro-thalamic-tract
#17
Kalen J Petersen, Jacqueline A Reid, Srijata Chakravorti, Meher R Juttukonda, Giulia Franco, Paula Trujillo, Adam J Stark, Benoit M Dawant, Manus J Donahue, Daniel O Claassen
The dentato-rubro-thalamic tract (DRTT) regulates motor control, connecting the cerebellum to the thalamus. This tract is modulated by deep-brain stimulation in the surgical treatment of medically refractory tremor, especially in essential tremor, where high-frequency stimulation of the thalamus can improve symptoms. The DRTT is classically described as a decussating pathway, ascending to the contralateral thalamus. However, the existence of a nondecussating (i.e. ipsilateral) DRTT in humans was recently demonstrated, and these tracts are arranged in distinct regions of the superior cerebellar peduncle...
May 4, 2018: NeuroImage
https://www.readbyqxmd.com/read/29730492/trade-off-of-cerebello-cortical-and-cortico-cortical-functional-networks-for-planning-in-6-year-old-children
#18
Judy A Kipping, Daniel S Margulies, Simon Eickhoff, Annie Lee, Anqi Qiu
Childhood is a critical period for the development of cognitive planning. There is a lack of knowledge on its neural mechanisms in children. This study aimed to examine cerebello-cortical and cortico-cortical functional connectivity in association with planning skills in 6-year-olds (n = 76). We identified the cerebello-cortical and cortico-cortical functional networks related to cognitive planning using activation likelihood estimation (ALE) meta-analysis on existing functional imaging studies on spatial planning, and data-driven independent component analysis (ICA) of children's resting-state functional MRI (rs-fMRI)...
May 3, 2018: NeuroImage
https://www.readbyqxmd.com/read/29730491/default-mode-network-abnormalities-in-posttraumatic-stress-disorder-a-novel-network-restricted-topology-approach
#19
Teddy J Akiki, Christopher L Averill, Kristen M Wrocklage, J Cobb Scott, Lynnette A Averill, Brian Schweinsburg, Aaron Alexander-Bloch, Brenda Martini, Steven M Southwick, John H Krystal, Chadi G Abdallah
Disruption in the default mode network (DMN) has been implicated in numerous neuropsychiatric disorders, including posttraumatic stress disorder (PTSD). However, studies have largely been limited to seed-based methods and involved inconsistent definitions of the DMN. Recent advances in neuroimaging and graph theory now permit the systematic exploration of intrinsic brain networks. In this study, we used resting-state functional magnetic resonance imaging (fMRI), diffusion MRI, and graph theoretical analyses to systematically examine the DMN connectivity and its relationship with PTSD symptom severity in a cohort of 65 combat-exposed US Veterans...
May 3, 2018: NeuroImage
https://www.readbyqxmd.com/read/29725294/effects-of-gradient-coil-noise-and-gradient-coil-replacement-on-the-reproducibility-of-resting-state-networks
#20
Epifanio Bagarinao, Erina Tsuzuki, Yukina Yoshida, Yohei Ozawa, Maki Kuzuya, Takashi Otani, Shuji Koyama, Haruo Isoda, Hirohisa Watanabe, Satoshi Maesawa, Shinji Naganawa, Gen Sobue
The stability of the MRI scanner throughout a given study is critical in minimizing hardware-induced variability in the acquired imaging data set. However, MRI scanners do malfunction at times, which could generate image artifacts and would require the replacement of a major component such as its gradient coil. In this article, we examined the effect of low intensity, randomly occurring hardware-related noise due to a faulty gradient coil on brain morphometric measures derived from T1-weighted images and resting state networks (RSNs) constructed from resting state functional MRI...
2018: Frontiers in Human Neuroscience
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