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https://www.readbyqxmd.com/read/28222526/the-impact-of-alzheimer-s-disease-on-the-resting-state-functional-connectivity-of-brain-regions-modulating-pain-a-cross-sectional-study
#1
Todd B Monroe, Paul A Beach, Stephen P Bruehl, Mary S Dietrich, Baxter P Rogers, John C Gore, Sebastian W Atalla, Ronald L Cowan
BACKGROUND: It is currently unknown why people with Alzheimer's disease (AD) receive less pain medication and report pain less frequently. OBJECTIVE: The purpose of this study was to determine the impact of AD on thermal psychophysics and resting-state functional connectivity (RSFC) among sensory, affective, descending modulatory, and default mode structures. METHODS: Controls (n = 23, 13 = female) and age-matched people with AD (n = 23, 13 = females) underwent psychophysical testing to rate perceptions of warmth, mild, and moderate pain and then completed resting-state fMRI...
February 7, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28220065/prediction-of-mild-cognitive-impairment-conversion-using-a-combination-of-independent-component-analysis-and-the-cox-model
#2
Ke Liu, Kewei Chen, Li Yao, Xiaojuan Guo
Mild cognitive impairment (MCI) represents a transitional stage from normal aging to Alzheimer's disease (AD) and corresponds to a higher risk of developing AD. Thus, it is necessary to explore and predict the onset of AD in MCI stage. In this study, we propose a combination of independent component analysis (ICA) and the multivariate Cox proportional hazards regression model to investigate promising risk factors associated with MCI conversion among 126 MCI converters and 108 MCI non-converters from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28218613/first-experimental-comparison-between-the-cartesian-and-the-lissajous-trajectory-for-magnetic-particle-imaging
#3
Franziska Werner, Nadine Gdaniec, Tobias Knopp
Magnetic Particle Imaging (MPI) is a quantitative imaging modality that allows to determine the distribution of superparamagnetic nanoparticles. Sampling is achieved by moving a field-free point (FFP) along a specific trajectory through the volume of interest. The magnetic material that lies along the path or in the close vicinity of the FFP changes its magnetization and induces a voltage in surrounding receive coils. Various trajectories for the FFP are conceivable, but most experimental MPI scanners either use a Cartesian or a Lissajous sampling trajectory...
February 20, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28218214/antidepressant-effects-of-electroconvulsive-therapy-unrelated-to-the-brain-s-functional-network-connectivity-alterations-at-an-individual-level
#4
Guang-Dong Chen, Feng Ji, Gong-Ying Li, Bo-Xuan Lyu, Wei Hu, Chuan-Jun Zhuo
BACKGROUND: Electroconvulsive therapy (ECT) can alleviate the symptoms of treatment-resistant depression (TRD). Functional network connectivity (FNC) is a newly developed method to investigate the brain's functional connectivity patterns. The first aim of this study was to investigate FNC alterations between TRD patients and healthy controls. The second aim was to explore the relationship between the ECT treatment response and pre-ECT treatment FNC alterations in individual TRD patients...
2017: Chinese Medical Journal
https://www.readbyqxmd.com/read/28217085/resting-state-fmri-in-mice-reveals-anesthesia-specific-signatures-of-brain-functional-networks-and-their-interactions
#5
Qasim Bukhari, Aileen Schroeter, David M Cole, Markus Rudin
fMRI studies in mice typically require the use of anesthetics. Yet, it is known that anesthesia alters responses to stimuli or functional networks at rest. In this work, we have used Dual Regression analysis Network Modeling to investigate the effects of two commonly used anesthetics, isoflurane and medetomidine, on rs-fMRI derived functional networks, and in particular to what extent anesthesia affected the interaction within and between these networks. Experimental data have been used from a previous study (Grandjean et al...
2017: Frontiers in Neural Circuits
https://www.readbyqxmd.com/read/28214528/adaptive-independent-vector-analysis-for-multi-subject-complex-valued-fmri-data
#6
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D Calhoun
BACKGROUND: Complex-valued fMRI data can provide additional insights beyond magnitude-only data. However, independent vector analysis (IVA), which has exhibited great potential for group analysis of magnitude-only fMRI data, has rarely been applied to complex-valued fMRI data. The main challenges in this application include the extremely noisy nature and large variability of the source component vector (SCV) distribution. NEW METHOD: To address these challenges, we propose an adaptive fixed-point IVA algorithm for analyzing multiple-subject complex-valued fMRI data...
February 15, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28214523/abnormal-functional-networks-in-resting-state-of-the-sub-cortical-chronic-stroke-patients-with-hemiplegia
#7
Ye Zhang, Li Wang, Jun Yang, Rubing Yan, Jingna Zhang, Linqiong Sang, Pengyue Li, Hongliang Liu, Mingguo Qiu
The aim of this study isto identify the properties of the motor network and the default-mode network (DMN) of the sub-cortical chronic stroke patients, and to study the relationship between the network connectivity and the neurological scales of the stroke patients.Twenty-eight chronic stroke patients (28-77 days post-stroke) and twenty-eight healthy control subjects (HCs) were recruited. Independent component analysis (ICA) was performed to obtain the motor network and the DMN. Two sample t-tests was used to compare the differences of the motor network and the DMN between the patients and HCs...
February 15, 2017: Brain Research
https://www.readbyqxmd.com/read/28214015/anomalous-network-architecture-of-the-resting-brain-in-children-who-stutter
#8
Soo-Eun Chang, Michael Angstadt, Ho Ming Chow, Andrew C Etchell, Emily O Garnett, Ai Leen Choo, Daniel Kessler, Robert C Welsh, Chandra Sripada
PURPOSE: We combined a large longitudinal neuroimaging dataset that includes children who do and do not stutter and a whole-brain network analysis in order to examine the intra- and inter-network connectivity changes associated with stuttering. Additionally, we asked whether whole brain connectivity patterns observed at the initial year of scanning could predict persistent stuttering in later years. METHODS: A total of 224 high-quality resting state fMRI scans collected from 84 children (42 stuttering, 42 controls) were entered into an independent component analysis (ICA), yielding a number of distinct network connectivity maps ("components") as well as expression scores for each component that quantified the degree to which it is expressed for each child...
January 25, 2017: Journal of Fluency Disorders
https://www.readbyqxmd.com/read/28213114/hierarchical-control-of-procedural-and-declarative-category-learning-systems
#9
Benjamin O Turner, Matthew J Crossley, F Gregory Ashby
Substantial evidence suggests that human category learning is governed by the interaction of multiple qualitatively distinct neural systems. In this view, procedural memory is used to learn stimulus-response associations, and declarative memory is used to apply explicit rules and test hypotheses about category membership. However, much less is known about the interaction between these systems: how is control passed between systems as they interact to influence motor resources? Here, we used fMRI to elucidate the neural correlates of switching between procedural and declarative categorization systems...
February 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28210983/multi-view-ensemble-classification-of-brain-connectivity-images-for-neurodegeneration-type-discrimination
#10
Michele Fratello, Giuseppina Caiazzo, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito
Brain connectivity analyses using voxels as features are not robust enough for single-patient classification because of the inter-subject anatomical and functional variability. To construct more robust features, voxels can be aggregated into clusters that are maximally coherent across subjects. Moreover, combining multi-modal neuroimaging and multi-view data integration techniques allows generating multiple independent connectivity features for the same patient. Structural and functional connectivity features were extracted from multi-modal MRI images with a clustering technique, and used for the multi-view classification of different phenotypes of neurodegeneration by an ensemble learning method (random forest)...
February 16, 2017: Neuroinformatics
https://www.readbyqxmd.com/read/28194128/disrupted-resting-state-default-mode-network-in-betel-quid-dependent-individuals
#11
Xueling Zhu, Qiuling Zhu, Canhua Jiang, Huaizhen Shen, Furong Wang, Weihua Liao, Fulai Yuan
Recent studies have shown that substance dependence (addiction) is accompanied with altered activity patterns of the default mode network (DMN). However, the neural correlates of the resting-state DMN and betel quid dependence (BQD)-related physiopathological characteristics still remain unclear. Resting-state functional magnetic resonance imaging images were obtained from 26 BQD individuals and 28 matched healthy control subjects. Group independent component analysis was performed to analyze the resting state images into spatially independent components...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28192723/influence-of-age-and-cognitive-performance-on-resting-state-brain-networks-of-older-adults-in-a-population-based-cohort
#12
Christiane Jockwitz, Svenja Caspers, Silke Lux, Simon B Eickhoff, Kerstin Jütten, Stefan Lenzen, Susanne Moebus, Noreen Pundt, Andrew Reid, Felix Hoffstaedter, Karl-Heinz Jöckel, Raimund Erbel, Sven Cichon, Markus M Nöthen, N Jon Shah, Karl Zilles, Katrin Amunts
Aging leads to global changes in brain structure and cognitive performance, with reorganization of functional brain networks. Importantly, these age-related changes show higher inter-individual variability in older subjects. To particularly address this variability is a challenge for studies on lifetime trajectories from early to late adulthood. The present study therefore had a dedicated focus on late adulthood to characterize the functional connectivity in resting-state networks (RSFC) in relation to age and cognitive performance in 711 older adults (55-85 years) from the 1000BRAINS project...
January 23, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28192457/time-varying-spectral-power-of-resting-state-fmri-networks-reveal-cross-frequency-dependence-in-dynamic-connectivity
#13
Maziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Brain oscillations and synchronicity among brain regions (brain connectivity) have been studied in resting-state (RS) and task-induced settings. RS-connectivity which captures brain functional integration during an unconstrained state is shown to vary with the frequency of oscillations. Indeed, high temporal resolution modalities have demonstrated both between and cross-frequency connectivity spanning across frequency bands such as theta and gamma. Despite high spatial resolution, functional magnetic resonance imaging (fMRI) suffers from low temporal resolution due to modulation with slow-varying hemodynamic response function (HRF) and also relatively low sampling rate...
2017: PloS One
https://www.readbyqxmd.com/read/28188856/mri-correlates-of-interaction-between-gender-and-expressive-suppression-among-the-chinese-population
#14
Kangcheng Wang, Li Chen, Xin Hou, Yong Zhang, Junyi Yang, Xin Hao, Jiang Qiu
Expressive suppression is a kind of emotion regulation strategies by suppressing behaviors related to emotional responding. Despite the amount of behavioral research on expressive suppression, the structural and functional mechanisms underlying the interaction between gender and expressive suppression in Chinese healthy subjects have remained unknown. In the current study, we assessed the levels of expressive suppression and acquired the structural and functional imaging data from 273 Chinese individuals. A nearly automatic cortical processing technique was used to calculate cortical thickness for each subject...
February 7, 2017: Neuroscience
https://www.readbyqxmd.com/read/28186867/significant-improvement-in-cognition-in-mild-to-moderately-severe-dementia-cases-treated-with-transcranial-plus-intranasal-photobiomodulation-case-series-report
#15
Anita E Saltmarche, Margaret A Naeser, Kai Fai Ho, Michael R Hamblin, Lew Lim
OBJECTIVE: This study investigated whether patients with mild to moderately severe dementia or possible Alzheimer's disease (AD) with Mini-Mental State Exam (MMSE) Baseline scores of 10-24 would improve when treated with near-infrared photobiomodulation (PBM) therapy. BACKGROUND: Animal studies have presented the potential of PBM for AD. Dysregulation of the brain's default mode network (DMN) has been associated with AD, presenting the DMN as an identifiable target for PBM...
February 10, 2017: Photomedicine and Laser Surgery
https://www.readbyqxmd.com/read/28185062/decoupling-between-the-hand-territory-and-the-default-mode-network-after-bilateral-arm-transplantation-four-year-follow-up-case-study
#16
Carlos R Hernandez-Castillo, Jörn Diedrichsen, Erika Aguilar-Castañeda, Martin Iglesias
Several studies have suggested both a local and network reorganization of the sensorimotor system following amputation. Transplantation of a new limb results in a new shifting of cortical activity in the local territory of the transplanted limb. However, there is a lack of information about the reversibility of the abnormalities at the network level. The objective of this study was to characterize the functional connectivity changes between the cortical territory of the new hand and two intrinsic network of interest: the sensorimotor network (SMN) and the default mode network (DMN) of one patient whom received bilateral forearm transplants...
February 9, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28179554/are-there-multiple-kinds-of-episodic-memory-an-fmri-investigation-comparing-autobiographical-and-recognition-memory-tasks
#17
Hung-Yu Chen, Adrian W Gilmore, Steven M Nelson, Kathleen B McDermott
What brain regions underlie retrieval from episodic memory? The bulk of research addressing this question with fMRI has relied upon recognition memory for materials encoded within the laboratory. Another, less dominant tradition has employed autobiographical methods, whereby people recall events from their lifetime, often after being cued with words or pictures. The current study addressed how the neural substrates of successful memory retrieval differ as a function of the targeted memory when the experimental parameters were held constant in the two conditions (except for instructions)...
February 8, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28179464/increased-default-mode-network-centrality-in-cognitively-impaired-multiple-sclerosis-patients
#18
Anand J C Eijlers, Kim A Meijer, Thomas M Wassenaar, Martijn D Steenwijk, Bernard M J Uitdehaag, Frederik Barkhof, Alle M Wink, Jeroen J G Geurts, Menno M Schoonheim
OBJECTIVE: To investigate how changes in functional network hierarchy determine cognitive impairment in multiple sclerosis (MS). METHODS: A cohort consisting of 332 patients with MS (age 48.1 ± 11.0 years, symptom duration 14.6 ± 8.4 years) and 96 healthy controls (HCs; age 45.9 ± 10.4 years) underwent structural MRI, fMRI, and extensive neuropsychological testing. Patients were divided into 3 groups: cognitively impaired (CI; n = 87), mildly cognitively impaired (MCI; n = 65), and cognitively preserved (CP; n = 180)...
February 8, 2017: Neurology
https://www.readbyqxmd.com/read/28176434/network-level-assessment-of-reward-related-activation-in-patients-with-adhd-and-healthy-individuals
#19
Daniel von Rhein, Christian F Beckmann, Barbara Franke, Jaap Oosterlaan, Dirk J Heslenfeld, Pieter J Hoekstra, Catharina A Hartman, Marjolein Luman, Stephen V Faraone, Roshan Cools, Jan K Buitelaar, Maarten Mennes
INTRODUCTION: Reward processing is a key aspect of cognitive control processes, putatively instantiated by mesolimbic and mesocortical brain circuits. Deficient signaling within these circuits has been associated with psychopathology. We applied a network discovery approach to assess specific functional networks associated with reward processing in participants with attention-deficit/hyperactivity disorder (ADHD). METHODS: To describe task-related processes in terms of integrated functional networks, we applied independent component analysis (ICA) to task response maps of 60 healthy participants who performed a monetary incentive delay (MID) task...
February 8, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28176413/anomalous-single-subject-based-morphological-cortical-networks-in-drug-naive-first-episode-major-depressive-disorder
#20
Taolin Chen, Keith M Kendrick, Jinhui Wang, Min Wu, Kaiming Li, Xiaoqi Huang, Yuejia Luo, Su Lui, John A Sweeney, Qiyong Gong
Major depressive disorder (MDD) has been associated with disruptions in the topological organization of brain morphological networks in group-level data. Such disruptions have not yet been identified in single-patients, which is needed to show relations with symptom severity and to evaluate their potential as biomarkers for illness. To address this issue, we conducted a cross-sectional structural brain network study of 33 treatment-naive, first-episode MDD patients and 33 age-, gender-, and education-matched healthy controls (HCs)...
February 8, 2017: Human Brain Mapping
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