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Neural connectivity

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https://www.readbyqxmd.com/read/29783076/disrupted-reward-and-cognitive-control-networks-contribute-to-anhedonia-in-depression
#1
Liang Gong, Cancan He, Haisan Zhang, Hongxing Zhang, Zhijun Zhang, Chunming Xie
Neuroimaging studies have identified that anhedonia, a core feature of major depressive disorder (MDD), is associated with dysfunction in reward and cognitive control processing. However, it is still not clear how the reward network (β-network) and the cognitive control network (δ-network) are linked to biased anhedonia in MDD patients. Sixty-eight MDD patients and 64 cognitively normal (CN) subjects underwent a resting-state functional magnetic resonance imaging scan. A 2*2 ANCOVA analysis was used to explore the differences in the nucleus accumbens-based, voxelwise functional connectivity (FC) between the groups...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29782993/generalized-recurrent-neural-network-accommodating-dynamic-causal-modeling-for-functional-mri-analysis
#2
Yuan Wang, Yao Wang, Yvonne W Lui
Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire process from experimental stimuli to functional magnetic resonance imaging (fMRI) signals via neural activity and cerebral hemodynamics. To conduct a DCM study, one needs to represent the experimental stimuli as a compact vector-valued function of time, which is hard in complex tasks such as book reading and natural movie watching. Deep learning provides the state-of-the-art signal representation solution, encoding complex signals into compact dense vectors while preserving the essence of the original signals...
May 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29782510/individual-differences-in-learning-correlate-with-modulation-of-brain-activity-induced-by-transcranial-direct-current-stimulation
#3
Brian Falcone, Atsushi Wada, Raja Parasuraman, Daniel E Callan
Transcranial direct current stimulation (tDCS) has been shown to enhance cognitive performance on a variety of tasks. It is hypothesized that tDCS enhances performance by affecting task related cortical excitability changes in networks underlying or connected to the site of stimulation facilitating long term potentiation. However, many recent studies have called into question the reliability and efficacy of tDCS to induce modulatory changes in brain activity. In this study, our goal is to investigate the individual differences in tDCS induced modulatory effects on brain activity related to the degree of enhancement in performance, providing insight into this lack of reliability...
2018: PloS One
https://www.readbyqxmd.com/read/29780407/deep-learning-methods-for-underwater-target-feature-extraction-and-recognition
#4
Gang Hu, Kejun Wang, Yuan Peng, Mengran Qiu, Jianfei Shi, Liangliang Liu
The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency cepstral coefficients are used as a method of underwater acoustic signal feature extraction. In this paper, a method for feature extraction and identification of underwater noise data based on CNN and ELM is proposed. An automatic feature extraction method of underwater acoustic signals is proposed using depth convolution network...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29780308/motor-preparation-disrupts-proactive-control-in-the-stop-signal-task
#5
Wuyi Wang, Sien Hu, Jaime S Ide, Simon Zhornitsky, Sheng Zhang, Angela J Yu, Chiang-Shan R Li
In a study of the stop signal task (SST) we employed Bayesian modeling to compute the estimated likelihood of stop signal or P(Stop) trial by trial and identified regional processes of conflict anticipation and response slowing. A higher P(Stop) is associated with prolonged go trial reaction time (goRT)-a form of sequential effect-and reflects proactive control of motor response. However, some individuals do not demonstrate a sequential effect despite similar go and stop success (SS) rates. We posited that motor preparation may disrupt proactive control more in certain individuals than others...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29779744/exploring-collective-experience-in-watching-dance-through-intersubject-correlation-and-functional-connectivity-of-fmri-brain-activity
#6
Frank E Pollick, Staci Vicary, Katie Noble, Naree Kim, Seonhee Jang, Catherine J Stevens
How the brain contends with naturalistic viewing conditions when it must cope with concurrent streams of diverse sensory inputs and internally generated thoughts is still largely an open question. In this study, we used fMRI to record brain activity while a group of 18 participants watched an edited dance duet accompanied by a soundtrack. After scanning, participants performed a short behavioral task to identify neural correlates of dance segments that could later be recalled. Intersubject correlation (ISC) analysis was used to identify the brain regions correlated among observers, and the results of this ISC map were used to define a set of regions for subsequent analysis of functional connectivity...
2018: Progress in Brain Research
https://www.readbyqxmd.com/read/29779670/a-connectome-wide-functional-signature-of-transdiagnostic-risk-for-mental-illness
#7
Maxwell L Elliott, Adrienne Romer, Annchen R Knodt, Ahmad R Hariri
BACKGROUND: High rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the "p" factor, associated with risk for all common forms of mental illness. METHODS: We build on previous research identifying unique structural neural correlates of the p factor by conducting a data-driven analysis of connectome-wide intrinsic functional connectivity (n = 605)...
April 10, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29778509/longitudinal-observations-using-simultaneous-fmri-multiple-channel-electrophysiology-recording-and-chemical-microiontophoresis-in-the-rat-brain
#8
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/29778276/dissociable-frontostriatal-connectivity-mechanism-and-predictor-of-the-clinical-efficacy-of-capsulotomy-in-obsessive-compulsive-disorder
#9
Dazhi Yin, ChenCheng Zhang, Qiming Lv, Xiaoyu Chen, Kristina Zeljic, Hengfen Gong, Shikun Zhan, Haiyan Jin, Zheng Wang, Bomin Sun
BACKGROUND: Little is known about the neural mechanism and response variability underlying neurosurgical interventions for intractable obsessive-compulsive disorder (OCD). METHODS: Of 81 OCD patients screened for capsulotomy identified in our institutional database, 36 patients with clinical assessment before and after capsulotomy and imaging data (9 of 36 patients without postoperative imaging data used as an independent test group), and 29 healthy control subjects were retrospectively recruited...
April 22, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29776789/transdiagnostic-effects-of-ventromedial-prefrontal-cortex-transcranial-magnetic-stimulation-on-cue-reactivity
#10
Tonisha E Kearney-Ramos, Logan T Dowdle, Daniel H Lench, Oliver J Mithoefer, William H Devries, Mark S George, Raymond F Anton, Colleen A Hanlon
BACKGROUND: Elevated frontal and striatal reactivity to drug cues is a transdiagnostic hallmark of substance use disorders. The goal of these experiments was to determine if it is possible to decrease frontal and striatal reactivity to drug cues in both cocaine users and heavy alcohol users through continuous theta burst stimulation (cTBS) to the left ventromedial prefrontal cortex (VMPFC). METHODS: Two single-blinded, within-subject, active sham-controlled experiments were performed wherein neural reactivity to drug/alcohol cues versus neutral cues was evaluated immediately before and after receiving real or sham cTBS (110% resting motor threshold, 3600 pulses, Fp1 location; N = 49: 25 cocaine users [experiment 1], 24 alcohol users [experiment 2]; 196 total functional magnetic resonance imaging scans)...
April 10, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29774599/deep-convolutional-neural-network-for-segmentation-of-knee-joint-anatomy
#11
Zhaoye Zhou, Gengyan Zhao, Richard Kijowski, Fang Liu
PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex deformable modeling to improve the efficiency and accuracy of knee joint tissue segmentation. METHODS: A segmentation pipeline was built by combining a semantic segmentation CNN, 3D fully connected CRF, and 3D simplex deformable modeling. A convolutional encoder-decoder network was designed as the core of the segmentation method to perform high resolution pixel-wise multi-class tissue classification for 12 different joint structures...
May 17, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29774480/topographical-assessment-of-neurocortical-connectivity-by-using-directed-transfer-function-and-partial-directed-coherence-during-meditation
#12
Laxmi Shaw, Aurobinda Routray
Due to the presence of nonlinearity and volume conduction in electroencephalography (EEG), sometimes it's challenging to find out the actual brain network from neurodynamical alteration. In this paper, two well-known time-frequency brain connectivity measures, namely partial directed coherence (PDC) and directed transfer function (DTF), have been applied to evaluate the performance analysis of EEG signals obtained during meditation. These measures are implemented to the multichannel meditation EEG data to get the directed neural information flow...
May 17, 2018: Cognitive Processing
https://www.readbyqxmd.com/read/29773979/efficient-coding-and-energy-efficiency-are-promoted-by-balanced-excitatory-and-inhibitory-synaptic-currents-in-neuronal-network
#13
Lianchun Yu, Zhou Shen, Chen Wang, Yuguo Yu
Selective pressure may drive neural systems to process as much information as possible with the lowest energy cost. Recent experiment evidence revealed that the ratio between synaptic excitation and inhibition (E/I) in local cortex is generally maintained at a certain value which may influence the efficiency of energy consumption and information transmission of neural networks. To understand this issue deeply, we constructed a typical recurrent Hodgkin-Huxley network model and studied the general principles that governs the relationship among the E/I synaptic current ratio, the energy cost and total amount of information transmission...
2018: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/29773973/comprehensive-investigation-of-white-matter-tracts-in-professional-chess-players-and-relation-to-expertise-region-of-interest-and-dmri-connectometry
#14
Mahsa Mayeli, Farzaneh Rahmani, Mohammad Hadi Aarabi
Purpose: Expertise is the product of training. Few studies have used functional connectivity or conventional diffusometric methods to identify neural underpinnings of chess expertise. Diffusometric variables of white matter might reflect these adaptive changes, along with changes in structural connectivity, which is a sensitive measure of microstructural changes. Method: Diffusometric variables of 29 professional chess players and 29 age-sex matched controls were extracted for white matter regions based on John Hopkin's Mori white matter atlas and partially correlated against professional training time and level of chess proficiency...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29771220/mindful-self-hypnosis-for-self-care-an-integrative-model-and-illustrative-case-example
#15
Gary R Elkins, R Lynae Roberts, Lauren Simicich
The combination of mindfulness and self-hypnosis could provide a tool that is easily implemented by individuals who want to care for their well-being in times of high stress. Each discipline has been shown to be effective in relieving stress, and integration could further facilitate change while creating a tool that is highly accessible. There are many similarities between the two practices, such as focusing of attention and the emphasis on mind-body connection. However, important distinctions in psychological (e...
July 2018: American Journal of Clinical Hypnosis
https://www.readbyqxmd.com/read/29770110/a-pcr-based-method-for-rna-probes-and-applications-in-neuroscience
#16
Ruifang Hua, Shanshan Yu, Mugen Liu, Haohong Li
In situ hybridization (ISH) is a powerful technique that is used to detect the localization of specific nucleic acid sequences for understanding the organization, regulation, and function of genes. However, in most cases, RNA probes are obtained by in vitro transcription from plasmids containing specific promoter elements and mRNA-specific cDNA. Probes originating from plasmid vectors are time-consuming and not suitable for the rapid gene mapping. Here, we introduce a simplified method to prepare digoxigenin (DIG)-labeled non-radioactive RNA probes based on polymerase chain reaction (PCR) amplification and applications in free-floating mouse brain sections...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29767303/the-neural-signatures-of-egocentric-bias-in-normative-decision-making
#17
Chunliang Feng, Xue Feng, Li Wang, Lili Wang, Ruolei Gu, Aiping Ni, Gopikrishna Deshpande, Zhihao Li, Yue-Jia Luo
Bargaining parties often disagree on what fair is, due to the reason that people are prone to believe that what favors oneself is fair, i.e., an egocentric bias. In this study, we investigated the neural signatures underlying egocentric bias in fairness decision-making, conjoining an adapted ultimatum game (UG) with event-related fMRI and functional connectivity. Participants earned monetary rewards with a partner in a production stage, wherein their contributions to the earnings were manipulated. Afterwards, the joint earnings were randomly divided, and the distribution was presented simultaneously with contribution information to participants, who accepted/rejected distributions of earnings as the same manner in standard UG...
May 16, 2018: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29766767/neural-architecture-from-cells-to-circuits
#18
Sarah E V Richards, Stephen D Van Hooser
Circuit operations are determined jointly by the properties of the circuit elements and the properties of the connections among these elements. In the nervous system, neurons exhibit diverse morphologies and branching patterns, allowing rich compartmentalization within individual cells, and complex synaptic interactions among groups of cells. Here, we summarize work detailing how neuronal morphology impacts neural circuit function. In particular, we consider example neurons in the retina, cerebral cortex, and the stomatogastric ganglion of crustaceans...
May 16, 2018: Journal of Neurophysiology
https://www.readbyqxmd.com/read/29766653/organic-psychosis-the-pathobiology-and-treatment-of-delusions
#19
REVIEW
Eileen Maria Joyce
Organic or secondary psychosis can be seen in diverse conditions such as toxic/metabolic disorders, neurodegenerative disease, and stroke. Poststroke psychosis is a rare phenomenon, but its study has significantly contributed to the understanding of delusion formation. The evidence from case studies of patients with focal strokes shows that delusions develop following unilateral damage of the right hemisphere. The majority of patients with right hemisphere stroke do not develop delusions however, and advanced neuroimaging analysis has elucidated why this symptom develops in only a small proportion...
May 15, 2018: CNS Neuroscience & Therapeutics
https://www.readbyqxmd.com/read/29766384/increased-functional-meg-connectivity-as-a-hallmark-of-mri-negative-focal-and-generalized-epilepsy
#20
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
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