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https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#1
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/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#2
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227312/improving-quality-and-intelligibility-of-speech-using-single-microphone-for-the-broadband-fmri-noise-at-low-snr
#3
Chetan Vahanesa, Chandan K A Reddy, Issa M S Panahi, Chetan Vahanesa, Chandan K A Reddy, Issa M S Panahi, Chetan Vahanesa, Issa M S Panahi, Chandan K A Reddy
Functional Magnetic Resonance Imaging (fMRI) is used in many diagnostic procedures for neurological related disorders. Strong broadband acoustic noise generated during fMRI scan interferes with the speech communication between the physician and the patient. In this paper, we propose a single microphone Speech Enhancement (SE) technique which is based on the supervised machine learning technique and a statistical model based SE technique. The proposed algorithm is robust and computationally efficient and has capability to run in real-time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224285/abnormal-effective-connectivity-in-the-brain-is-involved-in-auditory-verbal-hallucinations-in-schizophrenia
#4
Baojuan Li, Long-Biao Cui, Yi-Bin Xi, Karl J Friston, Fan Guo, Hua-Ning Wang, Lin-Chuan Zhang, Yuan-Han Bai, Qing-Rong Tan, Hong Yin, Hongbing Lu
Information flow among auditory and language processing-related regions implicated in the pathophysiology of auditory verbal hallucinations (AVHs) in schizophrenia (SZ) remains unclear. In this study, we used stochastic dynamic causal modeling (sDCM) to quantify connections among the left dorsolateral prefrontal cortex (inner speech monitoring), auditory cortex (auditory processing), hippocampus (memory retrieval), thalamus (information filtering), and Broca's area (language production) in 17 first-episode drug-naïve SZ patients with AVHs, 15 without AVHs, and 19 healthy controls using resting-state functional magnetic resonance imaging...
February 21, 2017: Neuroscience Bulletin
https://www.readbyqxmd.com/read/28223811/risk-assessment-of-aggressive-behavior-in-chinese-patients-with-schizophrenia-by-fmri-and-comt-gene
#5
Xiaoli Tang, Jun Jin, Yi Tang, Jinbo Cao, Junjie Huang
BACKGROUND: Blood-oxygen-level dependent functional magnetic resonance imaging (BOLD-fMRI) maps cerebral activity by the hemodynamic response. Catechol-O-methyltransferase (COMT) gene is involved in the metabolism of dopamine. It is reported that both of these can be used to assess the aggression risk in patients with schizophrenia. However, these methods to assess the aggression risk patients with schizophrenia have not been established in China. Therefore, we deliver here a systematic review and meta-analysis based on the studies dealing with Chinese patients...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28219725/planar-implantable-sensor-for-in-vivo-measurement-of-cellular-oxygen-metabolism-in-brain-tissue
#6
Vassiliy Tsytsarev, Fatih Akkenti, Elena Pumbo, Qinggong Tang, Yu Chen, Reha S Erzurumlu, Dmitri B Papkovsky
BACKGROUND: Brain imaging methods are continually improving. Imaging of the cerebral cortex is widely used in both animal experiments and charting human brain function in health and disease. Among the animal models, the rodent cerebral cortex has been widely used because of patterned neural representation of the whiskers on the snout and relative ease of activating cortical tissue with whisker stimulation. NEW METHOD: We tested a new planar solid-state oxygen sensor comprising a polymeric film with a phosphorescent oxygen-sensitive coating on the working side, to monitor dynamics of oxygen metabolism in the cerebral cortex following sensory stimulation...
February 17, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28205606/differential-abnormal-pattern-of-anterior-cingulate-gyrus-activation-in-unipolar-and-bipolar-depression-an-fmri-and-pattern-classification-approach
#7
Christian Bürger, Ronny Redlich, Dominik Grotegerd, Susanne Meinert, Katharina Dohm, Ilona Schneider, Dario Zaremba, Katharina Förster, Judith Alferink, Jens Bölte, Walter Heindel, Harald Kugel, Volker Arolt, Udo Dannlowski
Distinguishing bipolar disorder from major depressive disorder is a major challenge in psychiatric treatment. Consequently, there has been growing interest in identifying neuronal biomarkers of disorder-specific pathophysiological processes to differentiate affective disorders. Thirty-six depressed bipolar patients, 36 depressed unipolar patients and 36 matched healthy controls participated in an fMRI-experiment. Emotional faces served as stimuli in a matching task. We investigated neural activation towards angry, fearful and happy faces focusing on prototypical regions related to emotion processing, ie the amygdala and the anterior cingulate gyrus (ACG)...
February 16, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28182017/using-connectome-based-predictive-modeling-to-predict-individual-behavior-from-brain-connectivity
#8
Xilin Shen, Emily S Finn, Dustin Scheinost, Monica D Rosenberg, Marvin M Chun, Xenophon Papademetris, R Todd Constable
Neuroimaging is a fast-developing research area in which anatomical and functional images of human brains are collected using techniques such as functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG). Technical advances and large-scale data sets have allowed for the development of models capable of predicting individual differences in traits and behavior using brain connectivity measures derived from neuroimaging data. Here, we present connectome-based predictive modeling (CPM), a data-driven protocol for developing predictive models of brain-behavior relationships from connectivity data using cross-validation...
March 2017: Nature Protocols
https://www.readbyqxmd.com/read/28161310/statistical-power-and-prediction-accuracy-in-multisite-resting-state-fmri-connectivity
#9
Christian Dansereau, Yassine Benhajali, Celine Risterucci, Emilio Merlo Pich, Pierre Orban, Douglas Arnold, Pierre Bellec
Connectivity studies using resting-state functional magnetic resonance imaging are increasingly pooling data acquired at multiple sites. While this may allow investigators to speed up recruitment or increase sample size, multisite studies also potentially introduce systematic biases in connectivity measures across sites. In this work, we measure the inter-site effect in connectivity and its impact on our ability to detect individual and group differences. Our study was based on real, as opposed to simulated, multisite fMRI datasets collected in N=345 young, healthy subjects across 8 scanning sites with 3T scanners and heterogeneous scanning protocols, drawn from the 1000 functional connectome project...
February 2, 2017: NeuroImage
https://www.readbyqxmd.com/read/28161031/fmri-activity-during-associative-encoding-is-correlated-with-cardiorespiratory-fitness-and-source-memory-performance-in-older-adults
#10
Scott M Hayes, Jasmeet P Hayes, Victoria J Williams, Huiting Liu, Mieke Verfaellie
Older adults (OA), relative to young adults (YA), exhibit age-related alterations in functional Magnetic Resonance Imaging (fMRI) activity during associative encoding, which contributes to deficits in source memory. Yet, there are remarkable individual differences in brain health and memory performance among OA. Cardiorespiratory fitness (CRF) is one individual difference factor that may attenuate brain aging, and thereby contribute to enhanced source memory in OA. To examine this possibility, 26 OA and 31 YA completed a treadmill-based exercise test to evaluate CRF (peak VO2) and fMRI to examine brain activation during a face-name associative encoding task...
January 12, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28159688/altered-regional-connectivity-reflecting-effects-of-different-anaesthesia-protocols-in-the-mouse-brain
#11
Tong Wu, Joanes Grandjean, Simone C Bosshard, Markus Rudin, David Reutens, Tianzi Jiang
Studies in mice using resting-state functional magnetic resonance imaging (rs-fMRI) have provided opportunities to investigate the effects of pharmacological manipulations on brain function and map the phenotypes of mouse models of human brain disorders. Mouse rs-fMRI is typically performed under anaesthesia, which induces both regional suppression of brain activity and disruption of large-scale neural networks. Previous comparative studies using rodents investigating various drug effects on long-distance functional connectivity (FC) have reported agent-specific FC patterns, however, effects of regional suppression are sparsely explored...
February 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28154796/continuous-vs-intermittent-neurofeedback-to-regulate-auditory-cortex-activity-of-tinnitus-patients-using-real-time-fmri-a-pilot-study
#12
Kirsten Emmert, Rotem Kopel, Yury Koush, Raphael Maire, Pascal Senn, Dimitri Van De Ville, Sven Haller
The emerging technique of real-time fMRI neurofeedback trains individuals to regulate their own brain activity via feedback from an fMRI measure of neural activity. Optimum feedback presentation has yet to be determined, particularly when working with clinical populations. To this end, we compared continuous against intermittent feedback in subjects with tinnitus. Fourteen participants with tinnitus completed the whole experiment consisting of nine runs (3 runs × 3 days). Prior to the neurofeedback, the target region was localized within the auditory cortex using auditory stimulation (1 kHz tone pulsating at 6 Hz) in an ON-OFF block design...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28149942/cognitive-complaints-in-older-adults-at-risk-for-alzheimer-s-disease-are-associated-with-altered-resting-state-networks
#13
Joey A Contreras, Joaquín Goñi, Shannon L Risacher, Enrico Amico, Karmen Yoder, Mario Dzemidzic, John D West, Brenna C McDonald, Martin R Farlow, Olaf Sporns, Andrew J Saykin
INTRODUCTION: Pathophysiological changes that accompany early clinical symptoms in prodromal Alzheimer's disease (AD) may have a disruptive influence on brain networks. We investigated resting-state functional magnetic resonance imaging (rsfMRI), combined with brain connectomics, to assess changes in whole-brain functional connectivity (FC) in relation to neurocognitive variables. METHODS: Participants included 58 older adults who underwent rsfMRI. Individual FC matrices were computed based on a 278-region parcellation...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28148724/neural-predictors-of-decisions-to-cognitively-control-emotion
#14
Bruce Pierre Doré, Jochen Weber, Kevin Nicholas Ochsner
: Deciding to control emotional responses is a fundamental means of responding to environmental challenges, but little is known about the neural mechanisms that predict the outcome of such decisions. We used fMRI to test whether human brain responses during initial viewing of negative images could be used to predict decisions to regulate affective responses to those images. We found that 1) decisions to regulate were more frequent in individuals exhibiting higher average levels of activity within the amygdala and regions of prefrontal cortex known a priori to be involved in the cognitive control of emotion and 2) within-person expression of a distributed brain pattern associated with regulating emotion predicted choosing to regulate responses to particular stimuli, beyond the predictive value of stimulus intensity or self-reports of emotion...
February 1, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28147250/an-mr-compatible-gyroscope-based-arm-movement-tracking-system
#15
S Iman Shirinbayan, Jochem W Rieger
BACKGROUND: Functional magnetic resonance imaging is well suited to link neural population activation with movement parameters of complex natural arm movements. However, currently existing MR-compatible arm tracking devices are not constructed to measure arm joint movement parameters of unrestricted movements. Therefore, to date most research focuses on simple arm movements or includes very little knowledge about the actual movement kinematics. NEW METHOD: We developed a low cost gyroscope-based arm movement tracking system (GAMTS) that features MR-compatibility...
January 29, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28132013/new-predictive-model-for-microsurgical-outcome-of-intracranial-arteriovenous-malformations-study-protocol
#16
Xianzeng Tong, Jun Wu, Yong Cao, Yuanli Zhao, Shuo Wang
INTRODUCTION: Although microsurgical resection is currently the first-line treatment modality for arteriovenous malformations (AVMs), microsurgery of these lesions is complicated due to the fact that they are very heterogeneous vascular anomalies. The Spetzler-Martin grading system and the supplementary grading system have demonstrated excellent performances in predicting the risk of AVM surgery. However, there are currently no predictive models based on multimodal MRI techniques. The purpose of this study is to propose a predictive model based on multimodal MRI techniques to assess the microsurgical risk of intracranial AVMs...
January 27, 2017: BMJ Open
https://www.readbyqxmd.com/read/28125912/olfactory-network-differences-in-master-sommeliers-connectivity-analysis-using-granger-causality-and-graph-theoretical-approach
#17
Karthik R Sreenivasan, Xiaowei Zhuang, Sarah Banks, Virendra Mishra, Zhengshi Yang, Gopikrishna Deshpande, Dietmar Cordes
Previous studies investigating the differences in olfactory processing and judgments between trained sommeliers and controls have shown increased activations in brain regions involving higher-level cognitive processes in sommeliers. However, there is little information about the influence of expertise on causal connectivity and topological properties of the connectivity networks between these regions. Therefore, the current study focuses on addressing these questions in a functional magnetic resonance imaging (fMRI) study of olfactory perception in Master Sommeliers...
January 26, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28123949/resting-connectivity-predicts-task-activation-in-pre-surgical-populations
#18
O Parker Jones, N L Voets, J E Adcock, R Stacey, S Jbabdi
Injury and disease affect neural processing and increase individual variations in patients when compared with healthy controls. Understanding this increased variability is critical for identifying the anatomical location of eloquent brain areas for pre-surgical planning. Here we show that precise and reliable language maps can be inferred in patient populations from resting scans of idle brain activity. We trained a predictive model on pairs of resting-state and task-evoked data and tested it to predict activation of unseen patients and healthy controls based on their resting-state data alone...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28123033/the-caudate-nucleus-mediates-learning-of-stimulus-control-state-associations
#19
Yu-Chin Chiu, Jiefeng Jiang, Tobias Egner
: A longstanding dichotomy in cognitive psychology and neuroscience pits controlled, top-down driven behavior against associative, bottom-up driven behavior, where cognitive control processes allow us to override well-learned stimulus-response (S-R) associations. By contrast, some previous studies have raised the intriguing possibility of an integration between associative and controlled processing in the form of stimulus-control state (S-C) associations, the learned linkage of specific stimuli to particular control states, such as high attentional selectivity...
January 25, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28122876/multidimensional-prediction-of-treatment-response-to-antidepressants-with-cognitive-control-and-functional-mri
#20
Natania A Crane, Lisanne M Jenkins, Runa Bhaumik, Catherine Dion, Jennifer R Gowins, Brian J Mickey, Jon-Kar Zubieta, Scott A Langenecker
Predicting treatment response for major depressive disorder can provide a tremendous benefit for our overstretched health care system by reducing number of treatments and time to remission, thereby decreasing morbidity. The present study used neural and performance predictors during a cognitive control task to predict treatment response (% change in Hamilton Depression Rating Scale pre- to post-treatment). Forty-nine individuals diagnosed with major depressive disorder were enrolled with intent to treat in the open-label study; 36 completed treatment, had useable data, and were included in most data analyses...
February 2017: Brain: a Journal of Neurology
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