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model based fmri

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https://www.readbyqxmd.com/read/28100737/selectivity-in-postencoding-connectivity-with-high-level-visual-cortex-is-associated-with-reward-motivated-memory
#1
Vishnu P Murty, Alexa Tompary, R Alison Adcock, Lila Davachi
: Reward motivation has been demonstrated to enhance declarative memory by facilitating systems-level consolidation. Although high-reward information is often intermixed with lower reward information during an experience, memory for high value information is prioritized. How is this selectivity achieved? One possibility is that postencoding consolidation processes bias memory strengthening to those representations associated with higher reward. To test this hypothesis, we investigated the influence of differential reward motivation on the selectivity of postencoding markers of systems-level memory consolidation...
January 18, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28095191/maximum-pseudolikelihood-estimation-for-model-based-clustering-of-time-series-data
#2
Hien D Nguyen, Geoffrey J McLachlan, Pierre Orban, Pierre Bellec, Andrew L Janke
Mixture of autoregressions (MoAR) models provide a model-based approach to the clustering of time series data. The maximum likelihood (ML) estimation of MoAR models requires evaluating products of large numbers of densities of normal random variables. In practical scenarios, these products converge to zero as the length of the time series increases, and thus the ML estimation of MoAR models becomes infeasible without the use of numerical tricks. We propose a maximum pseudolikelihood (MPL) estimation approach as an alternative to the use of numerical tricks...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28094811/brain-connectivity-changes-occurring-following-cognitive-behavioural-therapy-for-psychosis-predict-long-term-recovery
#3
L Mason, E Peters, S C Williams, V Kumari
Little is known about the psychobiological mechanisms of cognitive behavioural therapy for psychosis (CBTp) and which specific processes are key in predicting favourable long-term outcomes. Following theoretical models of psychosis, this proof-of-concept study investigated whether the long-term recovery path of CBTp completers can be predicted by the neural changes in threat-based social affective processing that occur during CBTp. We followed up 22 participants who had undergone a social affective processing task during functional magnetic resonance imaging along with self-report and clinician-administered symptom measures, before and after receiving CBTp...
January 17, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28094810/aberrant-development-of-intrinsic-brain-activity-in-a-rat-model-of-caregiver-maltreatment-of-offspring
#4
C-G Yan, M Rincón-Cortés, C Raineki, E Sarro, S Colcombe, D N Guilfoyle, Z Yang, S Gerum, B B Biswal, M P Milham, R M Sullivan, F X Castellanos
Caregiver maltreatment induces vulnerability to later-life psychopathology. Clinical and preclinical evidence suggest changes in prefrontal and limbic circuitry underlie this susceptibility. We examined this question using a rat model of maternal maltreatment and methods translated from humans, resting-state functional magnetic resonance imaging (R-fMRI). Rat pups were reared by mothers provided with insufficient or abundant bedding for nest building from postnatal (PN) days 8 to 12 and underwent behavioral assessments of affect-related behaviors (forced swim, sucrose preference and social interaction) in adolescence (PN45) and early adulthood (PN60)...
January 17, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28090665/can-patel-s-%C3%AF-accurately-estimate-directionality-of-connections-in-brain-networks-from-fmri
#5
Yunzhi Wang, Olivier David, Xiaoping Hu, Gopikrishna Deshpande
PURPOSE: Investigating directional interactions between brain regions plays a critical role in fully understanding brain function. Consequently, multiple methods have been developed for noninvasively inferring directional connectivity in human brain networks using functional MRI (fMRI). Recent simulations by Smith et al showed that Patel's τ, a method based on higher-order statistics, was the best approach for inferring directional interactions from fMRI. Because simulations make restrictive assumptions about reality, we set out to verify this finding using experimental fMRI data obtained from a three-region network in a rat model with electrophysiological validation...
January 16, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28089676/multimodal-evaluation-of-the-amygdala-s-functional-connectivity
#6
Rebecca Kerestes, Henry W Chase, Mary L Phillips, Cecile D Ladouceur, Simon B Eickhoff
The amygdala is one of the most extensively studied human brain regions and undisputedly plays a central role in many psychiatric disorders. However, an outstanding question is whether connectivity of amygdala subregions, specifically the centromedial (CM), laterobasal (LB) and superficial (SF) nuclei, are modulated by brain state (i.e., task vs. rest). Here, using a multimodal approach, we directly compared meta-analytic connectivity modeling (MACM) and specific co-activation likelihood estimation (SCALE)-derived estimates of CM, LB and SF task-based co-activation to the functional connectivity of these nuclei as assessed by resting state fmri (rs-fmri)...
January 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28088483/physiology-recording-with-magnetic-field-probes-for-fmri-denoising
#7
Simon Gross, Laetitia Vionnet, Lars Kasper, Benjamin E Dietrich, Klaas P Pruessmann
Physiological noise originating in cardiovascular and respiratory processes is a substantial confound in BOLD fMRI. When unaccounted for it reduces the temporal SNR and causes error in inferred brain activity and connectivity. Physiology correction typically relies on auxiliary measurements with peripheral devices such as ECG, pulse oximeters, and breathing belts. These require direct skin contact or at least a tight fit, impairing subject comfort and adding to the setup time. In this work, we explore a touch-free alternative for physiology recording, using magnetic detection with NMR field probes...
January 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28077716/the-attraction-effect-modulates-reward-prediction-errors-and-intertemporal-choices
#8
Sebastian Gluth, Jared M Hotaling, Jörg Rieskamp
: Classical economic theory contends that the utility of a choice option should be independent of other options. This view is challenged by the attraction effect, in which the relative preference between two options is altered by the addition of a third, asymmetrically dominated option. Here, we leveraged the attraction effect in the context of intertemporal choices to test whether both decisions and reward prediction errors (RPE) in the absence of choice violate the independence of irrelevant alternatives principle...
January 11, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28077513/cognitive-control-structures-in-the-imitation-learning-of-spatial-sequences-and-rhythms-an-fmri-study
#9
Katrin Sakreida, Satomi Higuchi, Cinzia Di Dio, Michael Ziessler, Martine Turgeon, Neil Roberts, Stefan Vogt
Imitation learning involves the acquisition of novel motor patterns based on action observation (AO). We used event-related functional magnetic resonance imaging to study the imitation learning of spatial sequences and rhythms during AO, motor imagery (MI), and imitative execution in nonmusicians and musicians. While both tasks engaged the fronto-parietal mirror circuit, the spatial sequence task recruited posterior parietal and dorsal premotor regions more strongly. The rhythm task involved an additional network for auditory working memory...
January 10, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28070973/dissociation-between-amygdala-and-bed-nucleus-of-the-stria-terminalis-during-threat-anticipation-in-female-post-traumatic-stress-disorder-patients
#10
Leonie Brinkmann, Christine Buff, Paula Neumeister, Sara V Tupak, Michael P I Becker, Martin J Herrmann, Thomas Straube
Feelings of uncontrollability and anxiety regarding possibly harmful events are key features of post-traumatic stress disorder (PTSD) symptomatology. Due to a lack of studies, the neural correlates of anticipatory anxiety in PTSD are still poorly understood. During functional magnetic resonance imaging, female PTSD patients with interpersonal violence trauma and healthy controls (HC) anticipated the temporally unpredictable presentation of aversive (human scream) or neutral sounds. Based on separate analysis models, we investigated phasic and sustained brain activations...
January 10, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28069925/cerebellar-tdcs-modulates-neural-circuits-during-semantic-prediction-a-combined-tdcs-fmri-study
#11
Anila M D'Mello, Peter E Turkeltaub, Catherine J Stoodley
: It has been proposed that the cerebellum acquires internal models of mental processes that enable prediction, allowing for the optimization of behavior. In language, semantic prediction speeds speech production and comprehension. Right cerebellar lobules VI and VII (including Crus I/II) are engaged during a variety of language processes and are functionally connected with cerebral cortical language networks. Further, right posterolateral cerebellar neuromodulation modifies behavior during predictive language processing...
January 9, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28068296/orientation-selective-deep-brain-stimulation
#12
Lauri J Lehto, Julia P Slopsema, Matthew D Johnson, Artem Shatillo, Benjamin A Teplitzky, Lynn Utecht, Gregor Adriany, Silvia Mangia, Alejandra Sierra, Walter C Low, Olli Gröhn, Shalom Michaeli
OBJECTIVE: Target selectivity of deep brain stimulation (DBS) therapy is critical, as the precise locus and pattern of the stimulation dictates the degree to which desired treatment responses are achieved and adverse side effects are avoided. There is a clear clinical need to improve DBS technology beyond currently available stimulation steering and shaping approaches. We introduce orientation selective neural stimulation as a concept to increase the specificity of target selection in DBS...
February 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28062252/using-neuroimaging-to-individualize-tms-treatment-for-depression-toward-a-new-paradigm-for-imaging-guided-intervention
#13
Bruce M Luber, Simon Davis, Elisabeth Bernhardt, Andrada Neacsiu, Lori Kwapil, Sarah H Lisanby, Timothy J Strauman
The standard clinical technique for using repetitive transcranial magnetic stimulation (rTMS) for major depressive disorder (MDD) is associated with limited efficacy to date. Such limited efficacy may be due to reliance on scalp-based targeting rather than state-of-the-science methods which incorporate fMRI-guided neuronavigation based on a specific model of neurocircuit dysfunction. In this review, we examine such a specific model drawn from regulatory focus theory, which postulates two brain/behavior systems, the promotion and prevention systems, underlying goal pursuit...
January 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28057725/the-neuro-computational-architecture-of-value-based-selection-in-the-human-brain
#14
Philippe Domenech, Jérôme Redouté, Etienne Koechlin, Jean-Claude Dreher
Current neural models of value-based decision-making consider choices as a 2-stage process, proceeding from the "valuation" of each option under consideration to the "selection" of the best option on the basis of their subjective values. However, little is known about the computational mechanisms at play at the selection stage and its implementation in the human brain. Here, we used drift-diffusion models combined with model-based functional magnetic resonance imaging, effective connectivity, and multivariate pattern analysis to characterize the neuro-computational architecture of value-based decisions...
January 4, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28044019/resolving-the-neural-dynamics-of-visual-and-auditory-scene-processing-in-the-human-brain-a-methodological-approach
#15
REVIEW
Radoslaw Martin Cichy, Santani Teng
In natural environments, visual and auditory stimulation elicit responses across a large set of brain regions in a fraction of a second, yielding representations of the multimodal scene and its properties. The rapid and complex neural dynamics underlying visual and auditory information processing pose major challenges to human cognitive neuroscience. Brain signals measured non-invasively are inherently noisy, the format of neural representations is unknown, and transformations between representations are complex and often nonlinear...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28041980/a-family-of-locally-constrained-cca-models-for-detecting-activation-patterns-in-fmri
#16
Xiaowei Zhuang, Zhengshi Yang, Tim Curran, Richard Byrd, Rajesh Nandy, Dietmar Cordes
Canonical correlation analysis (CCA) has been used in functional Magnetic Resonance Imaging (fMRI) for improved detection of activation by incorporating time series from multiple voxels in a local neighborhood. To improve the specificity of local CCA methods, spatial constraints were previously proposed. In this study, constraints are generalized by introducing a family model of spatial constraints for CCA to further increase both sensitivity and specificity in fMRI activation detection. The proposed locally-constrained CCA (cCCA) model is formulated in terms of a multivariate constrained optimization problem and solved efficiently with numerical optimization techniques...
December 29, 2016: NeuroImage
https://www.readbyqxmd.com/read/28040847/diagnostic-classification-of-unipolar-depression-based-on-resting-state-functional-connectivity-mri-effects-of-generalization-to-a-diverse-sample
#17
Benedikt Sundermann, Stephan Feder, Heike Wersching, Anja Teuber, Wolfram Schwindt, Harald Kugel, Walter Heindel, Volker Arolt, Klaus Berger, Bettina Pfleiderer
In small, selected samples, an approach combining resting-state functional connectivity MRI and multivariate pattern analysis has been able to successfully classify patients diagnosed with unipolar depression. Purposes of this investigation were to assess the generalizability of this approach to a large clinically more realistic sample and secondarily to assess the replicability of previously reported methodological feasibility in a more homogeneous subgroup with pronounced depressive symptoms. Two independent subsets were drawn from the depression and control cohorts of the BiDirect study, each with 180 patients with and 180 controls without depression...
December 31, 2016: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28029198/neural-responses-to-negative-outcomes-predict-success-in-community-based-substance-use-treatment
#18
Sarah E Forster, Peter R Finn, Joshua W Brown
BACKGROUND AND AIMS: Activation in some specific brain regions has demonstrated promise as prognostic indicators in substance dependent individuals (SDIs) but this issue has not yet been explored in SDIs attending typical of community-based treatment. We used a data-driven, exploratory approach to identify brain-based predictors of treatment outcome in a representative community sample of SDIs. The predictive utility of brain-based measures was evaluated against clinical indicators, cognitive-behavioral performance, and self-report assessments...
December 28, 2016: Addiction
https://www.readbyqxmd.com/read/28025128/potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression
#19
Molly G Bright, Christopher R Tench, Kevin Murphy
In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect the underlying intrinsic brain fluctuations of interest. This is commonly achieved through nuisance regression, in which the fit is calculated of a noise model of head motion and physiological processes to the fMRI data in a General Linear Model, and the "cleaned" residuals of this fit are used in further analysis. We examine the statistical assumptions and requirements of the General Linear Model, and whether these are met during nuisance regression of resting state fMRI data...
December 23, 2016: NeuroImage
https://www.readbyqxmd.com/read/28003958/metrics-of-brain-network-architecture-capture-the-impact-of-disease-in-children-with-epilepsy
#20
Michael J Paldino, Wei Zhang, Zili D Chu, Farahnaz Golriz
BACKGROUND AND OBJECTIVE: Epilepsy is associated with alterations in the structural framework of the cerebral network. The aim of this study was to measure the potential of global metrics of network architecture derived from resting state functional MRI to capture the impact of epilepsy on the developing brain. METHODS: Pediatric patients were retrospectively identified with: 1. Focal epilepsy; 2. Brain MRI at 3 Tesla, including resting state functional MRI; 3. Full scale IQ measured by a pediatric neuropsychologist...
2017: NeuroImage: Clinical
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