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https://www.readbyqxmd.com/read/28239522/disrupted-neural-activity-patterns-to-novelty-and-effort-in-young-adult-apoe-e4-carriers-performing-a-subsequent-memory-task
#1
Simon Evans, Nicholas G Dowell, Naji Tabet, Sarah L King, Samuel B Hutton, Jennifer M Rusted
INTRODUCTION: The APOE e4 allele has been linked to poorer cognitive aging and enhanced dementia risk. Previous imaging studies have used subsequent memory paradigms to probe hippocampal function in e4 carriers across the age range, and evidence suggests a pattern of hippocampal overactivation in young adult e4 carriers. METHODS: In this study, we employed a word-based subsequent memory task under fMRI; pupillometry data were also acquired as an index of cognitive effort...
February 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28239517/cortical-interactions-during-the-resolution-of-information-processing-demands-in-autism-spectrum-disorders
#2
Kristina Denisova, Guihu Zhao, Zhishun Wang, Suzanne Goh, Yuankai Huo, Bradley S Peterson
INTRODUCTION: Our flexible and adaptive interactions with the environment are guided by our individual representation of the physical world, estimated through sensation and evaluation of available information against prior knowledge. When linking sensory evidence with higher-level expectations for action, the central nervous system (CNS) in typically developing (TD) individuals relies in part on distributed and interacting cortical regions to communicate neuronal signals flexibly across the brain...
February 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28238294/within-subject-neural-reactivity-to-reward-and-threat-is-inverted-in-young-adolescents
#3
M E Thomason, H A Marusak
BACKGROUND: As children mature, they become increasingly independent and less reliant on caregiver support. Changes in brain systems are likely to stimulate and guide this process. One mechanistic hypothesis suggests that changes in neural systems that process reward and threat support the increase in exploratory behavior observed in the transition to adolescence. This study examines the basic tenets of this hypothesis by performing functional magnetic resonance imaging (fMRI) during well-established reward and threat processing tasks in 40 children and adolescents, aged 9-15 years...
February 27, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#4
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28229931/modulation-of-the-sensorimotor-system-by-sustained-manual-pressure-stimulation
#5
Pavel Hok, Jaroslav Opavský, Miroslav Kutín, Zbyněk Tüdös, Petr Kaňovský, Petr Hluštík
In Vojta physiotherapy, also known as reflex locomotion therapy, prolonged peripheral pressure stimulation induces complex generalized involuntary motor responses and modifies subsequent behavior, but its neurobiological basis remains unknown. We hypothesized that the stimulation would induce sensorimotor activation changes in functional magnetic resonance imaging (fMRI) during sequential finger opposition. Thirty healthy volunteers (mean age 24.2) underwent two randomized fMRI sessions involving manual pressure stimulation applied either at the right lateral heel according to Vojta, or at the right lateral ankle (control site)...
February 13, 2017: Neuroscience
https://www.readbyqxmd.com/read/28227772/the-chronnectome-evaluating-replicability-of-dynamic-connectivity-patterns-in-7500-resting-fmri-datasets
#6
Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Anees Abrol, Charlotte Chaze, Eswar Damaraju, Vince D Calhoun, Vince D Calhoun, Eswar Damaraju, Anees Abrol, Charlotte Chaze
Functional fMRI data are typically analyzed under the assumption that participants experience one long, continuous connectivity state throughout rest scan sessions. The chronnectome is a model that takes into account the temporal variance in connectivity throughout a scan session. In this work, we evaluate the repeatability of properties of functional network connectivity (FNC) dynamics assessed using sliding-windowed correlations in 28 independent age-matched large samples of 250 subjects. This approach revealed that multiple discrete, reoccurring connectivity states arise during rest, and that subjects tend to remain in one connectivity state for long periods of time before transitioning to another...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#7
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227770/randomness-in-resting-state-functional-connectivity-matrices
#8
Victor M Vergara, Vince Calhoun, Victor M Vergara, Vince Calhoun, Vince Calhoun, Victor M Vergara
Separate brain regions exhibit synchronous intrinsic activity used to assess connectivity patterns known to appear among brain areas. Connectivity is evaluated from functional magnetic resonance imaging (fMRI) measuring the blood oxygen level dependent signal (BOLD) signal. Extensive research has revealed a distinctive pattern of connectivity among brain areas that can be visualized through a functional connectivity matrix (FCM) matrix. As in any measurement, BOLD signals are subject to contamination from noise and nuisances unrelated to brain's intrinsic activity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#9
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227399/functional-connectivity-analysis-using-whole-brain-and-regional-network-metrics-in-ms-patients
#10
V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, V C Chirumamilla, V Fleischer, A Droby, T Anjum, M Muthuraman, F Zipp, S Groppa, A Droby, S Groppa, F Zipp, V C Chirumamilla, T Anjum, V Fleischer, M Muthuraman
In the present study we investigated brain network connectivity differences between patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HC) as derived from functional resonance magnetic imaging (fMRI) using graph theory. Resting state fMRI data of 18 RRMS patients (12 female, mean age ± SD: 42 ± 12.06 years) and 25 HC (8 female, 29.2 ± 5.38 years) were analyzed. In order to obtain information of differences in entire brain network, we focused on both, local and global network connectivity parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#11
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226698/differences-in-connectivity-patterns-between-child-and-adolescent-attention-deficit-hyperactivity-disorder-patients
#12
Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Bo-Yong Park, Jonghoon Kim, Hyunjin Park, Hyunjin Park, Bo-Yong Park, Jonghoon Kim
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/28223812/resting-state-functional-connectivity-changes-within-the-default-mode-network-and-the-salience-network-after-antipsychotic-treatment-in-early-phase-schizophrenia
#13
Yingchan Wang, Weijun Tang, Xiaoduo Fan, Jianye Zhang, Daoying Geng, Kaida Jiang, Dianming Zhu, Zhenhua Song, Zeping Xiao, Dengtang Liu
OBJECTIVE: Abnormal resting-state functional connectivity (FC), particularly in the default mode network (DMN) and the salience network (SN), has been reported in schizophrenia, but little is known about the effects of antipsychotics on these networks. The purpose of this study was to examine the effects of atypical antipsychotics on DMN and SN and the relationship between these effects and symptom improvement in patients with schizophrenia. METHODS: This was a prospective study of 33 patients diagnosed with schizophrenia and treated with antipsychotics at Shanghai Mental Health Center...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28223037/asymmetric-dopaminergic-degeneration-and-levodopa-alter-functional-corticostriatal-connectivity-bilaterally-in-experimental-parkinsonism
#14
Cyril Monnot, Xiaoqun Zhang, Sahar Nikkhou-Aski, Peter Damberg, Per Svenningsson
Asymmetric dopamine loss is commonly found in early Parkinson's disease (PD), but its effects on functional networks have been difficult to delineate in PD patients because of variations in age, disease duration and therapy. Here we used unilateral 6-hydroxydopamine-lesioned (6-OHDA) rats and controls and treated them with a single intraperitoneal injection of levodopa (L-DOPA) before performing diffusion weighted MRI and resting state functional MRI (rs-fMRI). In accordance with a neurodegeneration of the nigrostriatal dopaminergic pathway, diffusion tensor imaging showed increased radial diffusivity and decreased fractional anisotropy in the lesioned substantia nigra...
February 20, 2017: Experimental Neurology
https://www.readbyqxmd.com/read/28223034/children-s-head-motion-during-fmri-tasks-is-heritable-and-stable-over-time
#15
Laura E Engelhardt, Mary Abbe Roe, Jenifer Juranek, Dana DeMaster, K Paige Harden, Elliot M Tucker-Drob, Jessica A Church
Head motion during fMRI scans negatively impacts data quality, and as post-acquisition techniques for addressing motion become increasingly stringent, data retention decreases. Studies conducted with adult participants suggest that movement acts as a relatively stable, heritable phenotype that serves as a marker for other genetically influenced phenotypes. Whether these patterns extend downward to childhood has critical implications for the interpretation and generalizability of fMRI data acquired from children...
February 1, 2017: Developmental Cognitive Neuroscience
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
#16
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/28221328/retinotopic-fmri-reveals-visual-dysfunction-and-functional-reorganization-in-the-visual-cortex-of-mild-to-moderate-glaucoma-patients
#17
Wei Zhou, Eric R Muir, Kundandeep S Nagi, Steven Chalfin, Pavel Rodriguez, Timothy Q Duong
PURPOSE: To investigate retinotopic functional representation in the visual cortex of mild to moderate primary open-angle glaucoma (POAG) participants and age-matched normal volunteers using high-resolution retinotopic blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI). METHODS: fMRI was performed on 9 POAG participants (61±11 y old) and 9 age-matched controls (58±5 y old) were studied. A wide-view visual presentation (±55 degrees) was used to evaluate central and peripheral vision...
February 17, 2017: Journal of Glaucoma
https://www.readbyqxmd.com/read/28216431/optimizing-fmri-preprocessing-pipelines-for-block-design-tasks-as-a-function-of-age
#18
Nathan W Churchill, Pradeep Raamana, Robyn Spring, Stephen C Strother
Functional Magnetic Resonance Imaging (fMRI) is a powerful neuroimaging tool, which is often hampered by significant noise confounds. There is evidence that our ability to detect activations in task fMRI is highly dependent on the preprocessing steps used to control noise and artifact. However, the vast majority of studies examining preprocessing pipelines in fMRI have focused on young adults. Given the widespread use of fMRI for characterizing the neurobiology of aging, it is critical to examine how the impact of preprocessing choices varies as a function of age...
February 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28214578/increasing-lateralized-motor-activity-in-younger-and-older-adults-using-real-time-fmri-during-executed-movements
#19
Heather F Neyedli, Cassandra Sampaio-Baptista, Matthew A Kirkman, David Havard, Michael Lührs, Katie Ramsden, David D Flitney, Stuart Clare, Rainer Goebel, Heidi Johansen-Berg
Neurofeedback training involves presenting an individual with a representation of their brain activity and instructing them to alter the activity using the feedback. One potential application of neurofeedback is for patients to alter neural improve function. For example, there is evidence that greater laterality of movement-related activity is associated with better motor outcomes after stroke; so using neurofeedback to increase laterality may provide a novel route for improving outcomes. However, we must demonstrate that individuals can control relevant neurofeedback signals...
February 15, 2017: Neuroscience
https://www.readbyqxmd.com/read/28214544/can-functional-magnetic-resonance-imaging-studies-help-with-the-optimization-of-health-messaging-for-lifestyle-behavior-change-a-systematic-review
#20
REVIEW
Maxine E Whelan, Paul S Morgan, Lauren B Sherar, Mark W Orme, Dale W Esliger
Unhealthy behaviors, including smoking, poor nutrition, excessive alcohol consumption, physical inactivity and sedentary lifestyles, are global risk factors for non-communicable diseases and premature death. Functional magnetic resonance imaging (fMRI) offers a unique approach to optimize health messages by examining how the brain responds to information relating to health. Our aim was to systematically review fMRI studies that have investigated variations in brain activation in response to health messages relating to (i) smoking; (ii) alcohol consumption; (iii) physical activity; (iv) diet; and (v) sedentary behavior...
February 15, 2017: Preventive Medicine
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