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https://www.readbyqxmd.com/read/29786892/association-between-initial-age-of-exposure-to-childhood-abuse-and-cognitive-control-preliminary-evidence
#1
Kristen L Mackiewicz Seghete, Anne P DePrince, Marie T Banich
Cognitive control, which relies on the protracted development of frontal-parietal regions into adolescence, is a brain process that may be particularly vulnerable to the impact of childhood abuse. In this study, we used functional magnetic resonance imaging (fMRI) to examine associations between the age of onset of childhood abuse and alterations to the neural mechanisms supporting cognitive control in early adulthood, which have not been previously examined. During fMRI scanning, participants completed hybrid block/event-related versions of a classic color-word Stroop task as well as emotional Stroop tasks (threat and positive words)...
May 22, 2018: Journal of Traumatic Stress
https://www.readbyqxmd.com/read/29786167/neuroplasticity-in-stroke-recovery-the-role-of-microglia-in-engaging-and-modifying-synapses-and-networks
#2
REVIEW
Ioanna Sandvig, Ingrid Lovise Augestad, Asta Kristine Håberg, Axel Sandvig
Neuroplasticity after ischemic injury involves both spontaneous rewiring of neural networks and circuits as well as functional responses in neurogenic niches. These events involve complex interactions with activated microglia, which evolve in a dynamic manner over time. Although the exact mechanisms underlying these interactions remain poorly understood, increasing experimental evidence suggests a determining role of pro- and anti-inflammatory microglial activation profiles in shaping both synaptogenesis and neurogenesis...
May 22, 2018: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29785841/effects-of-antipsychotic-drugs-on-neurites-relevant-to-schizophrenia-treatment
#3
REVIEW
Xu-Feng Huang, Xueqin Song
Although antipsychotic drugs are mainly used for treating schizophrenia, they are widely used for treating various psychiatric diseases in adults, the elderly, adolescents and even children. Today, about 1.2% of the worldwide population suffers from psychosis and related disorders, which translates to about 7.5 million subjects potentially targeted by antipsychotic drugs. Neurites project from the cell body of neurons and connect neurons to each other to form neural networks. Deficits in neurite outgrowth and integrity are implicated in psychiatric diseases including schizophrenia...
May 22, 2018: Medicinal Research Reviews
https://www.readbyqxmd.com/read/29785777/paradoxical-effect-of-baclofen-on-social-behavior-in-the-fragile-x-syndrome-mouse-model
#4
Shimriet Zeidler, Andreea S Pop, Israa A Jaafar, Helen de Boer, Ronald A M Buijsen, Celine E F de Esch, Ingeborg Nieuwenhuizen-Bakker, Renate K Hukema, Rob Willemsen
INTRODUCTION: Fragile X syndrome (FXS) is a common monogenetic cause of intellectual disability, autism spectrum features, and a broad range of other psychiatric and medical problems. FXS is caused by the lack of the fragile X mental retardation protein (FMRP), a translational regulator of specific mRNAs at the postsynaptic compartment. The absence of FMRP leads to aberrant synaptic plasticity, which is believed to be caused by an imbalance in excitatory and inhibitory network functioning of the synapse...
April 26, 2018: Brain and Behavior
https://www.readbyqxmd.com/read/29785287/lymph-node-dissection-during-sublobar-resection-why-when-and-how
#5
REVIEW
Pascal-Alexandre Thomas
Appropriate lymph node (LN) assessment is a hallmark of surgical quality of curative intent operations for non-small cell lung cancer (NSCLC). Even in the era of extensive pre-treatment work-up including routine PET-scanning and brain imaging, and selective invasive LN evaluation, unexpected LN metastases are found at surgery in more than 10% of patients with a cT1aN0 tumor. Systematic lymphadenectomy minimizes the risk of leaving tumor-LN behind and thus the risk of an incomplete resection, and provides the most truthful pTNM, which is decisive in directing adjuvant chemotherapy...
April 2018: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/29785227/alterations-in-the-three-components-of-selfhood-in-persons-with-post-traumatic-stress-disorder-symptoms-a-pilot-qeeg-neuroimaging-study
#6
Andrew A Fingelkurts, Alexander A Fingelkurts
Background and Objective: Understanding how trauma impacts the self-structure of individuals suffering from the Post-Traumatic Stress Disorder (PTSD) symptoms is a complex matter and despite several attempts to explain the relationship between trauma and the "Self", this issue still lacks clarity. Therefore, adopting a new theoretical perspective may help understand PTSD deeper and to shed light on the underlying psychophysiological mechanisms. Methods: In this study, we employed the "three-dimensional construct model of the experiential selfhood" where three major components of selfhood (phenomenal first-person agency, embodiment, and reflection/narration) are related to three Operational Modules (OMs) of the self-referential brain network...
2018: Open Neuroimaging Journal
https://www.readbyqxmd.com/read/29785110/prefrontoparietal-dysfunction-during-emotion-regulation-in-anxiety-disorder-a-meta-analysis-of-functional-magnetic-resonance-imaging-studies
#7
Hai-Yang Wang, Xiao-Xia Zhang, Cui-Ping Si, Yang Xu, Qian Liu, He-Tao Bian, Bing-Wei Zhang, Xue-Lin Li, Zhong-Rui Yan
Objective: Impairments in emotion regulation, and more specifically in cognitive reappraisal, are thought to play a key role in the pathogenesis of anxiety disorders. However, the available evidence on such deficits is inconsistent. To further illustrate the neurobiological underpinnings of anxiety disorder, the present meta-analysis summarizes functional magnetic resonance imaging (fMRI) findings for cognitive reappraisal tasks and investigates related brain areas. Methods: We performed a comprehensive series of meta-analyses of cognitive reappraisal fMRI studies contrasting patients with anxiety disorder with healthy control (HC) subjects, employing an anisotropic effect-size signed differential mapping approach...
2018: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/29785055/mindfulness-training-induces-structural-connectome-changes-in-insula-networks
#8
Paul B Sharp, Bradley P Sutton, Erick J Paul, Nikolai Sherepa, Charles H Hillman, Neal J Cohen, Arthur F Kramer, Ruchika Shaurya Prakash, Wendy Heller, Eva H Telzer, Aron K Barbey
Although mindfulness meditation is known to provide a wealth of psychological benefits, the neural mechanisms involved in these effects remain to be well characterized. A central question is whether the observed benefits of mindfulness training derive from specific changes in the structural brain connectome that do not result from alternative forms of experimental intervention. Measures of whole-brain and node-level structural connectome changes induced by mindfulness training were compared with those induced by cognitive and physical fitness training within a large, multi-group intervention protocol (n = 86)...
May 21, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29784996/dual-function-injectable-angiogenic-biomaterial-for-the-repair-of-brain-tissue-following-stroke
#9
Lina R Nih, Shiva Gojgini, S Thomas Carmichael, Tatiana Segura
Stroke is the primary cause of disability due to the brain's limited ability to regenerate damaged tissue. After stroke, an increased inflammatory and immune response coupled with severely limited angiogenesis and neuronal growth results in a stroke cavity devoid of normal brain tissue. In the adult, therapeutic angiogenic materials have been used to repair ischaemic tissues through the formation of vascular networks. However, whether a therapeutic angiogenic material can regenerate brain tissue and promote neural repair is poorly understood...
May 21, 2018: Nature Materials
https://www.readbyqxmd.com/read/29784759/of-what-use-is-connectomics-a-personal-perspective-on-the-drosophila-connectome
#10
REVIEW
Ian A Meinertzhagen
The brain is a network of neurons and its biological output is behaviour. This is an exciting age, with a growing acknowledgement that the comprehensive compilation of synaptic circuits densely reconstructed in the brains of model species is now both technologically feasible and a scientifically enabling possibility in neurobiology, much as 30 years ago genomics was in molecular biology and genetics. Implemented by huge advances in electron microscope technology, especially focused ion beam-scanning electron microscope (FIB-SEM) milling (see Glossary), image capture and alignment, and computer-aided reconstruction of neuron morphologies, enormous progress has been made in the last decade in the detailed knowledge of the actual synaptic circuits formed by real neurons, in various brain regions of the fly Drosophila It is useful to distinguish synaptic pathways that are major, with 100 or more presynaptic contacts, from those that are minor, with fewer than about 10; most neurites are both presynaptic and postsynaptic, and all synaptic sites have multiple postsynaptic dendrites...
May 20, 2018: Journal of Experimental Biology
https://www.readbyqxmd.com/read/29784544/classifying-alzheimer-s-disease-with-brain-imaging-and-genetic-data-using-a-neural-network-framework
#11
Kaida Ning, Bo Chen, Fengzhu Sun, Zachary Hobel, Lu Zhao, Will Matloff, Arthur W Toga
A long-standing question is how to best use brain morphometric and genetic data to distinguish Alzheimer's disease (AD) patients from cognitively normal (CN) subjects and to predict those who will progress from mild cognitive impairment (MCI) to AD. Here, we use a neural network (NN) framework on both magnetic resonance imaging-derived quantitative structural brain measures and genetic data to address this question. We tested the effectiveness of NN models in classifying and predicting AD. We further performed a novel analysis of the NN model to gain insight into the most predictive imaging and genetics features and to identify possible interactions between features that affect AD risk...
April 24, 2018: Neurobiology of Aging
https://www.readbyqxmd.com/read/29784049/identification-and-therapeutic-modulation-of-a-pro-inflammatory-subset-of-disease-associated-microglia-in-alzheimer-s-disease
#12
Srikant Rangaraju, Eric B Dammer, Syed Ali Raza, Priyadharshini Rathakrishnan, Hailian Xiao, Tianwen Gao, Duc M Duong, Michael W Pennington, James J Lah, Nicholas T Seyfried, Allan I Levey
BACKGROUND: Disease-associated-microglia (DAM) represent transcriptionally-distinct and neurodegeneration-specific microglial profiles with unclear significance in Alzheimer's disease (AD). An understanding of heterogeneity within DAM and their key regulators may guide pre-clinical experimentation and drug discovery. METHODS: Weighted co-expression network analysis (WGCNA) was applied to existing microglial transcriptomic datasets from neuroinflammatory and neurodegenerative disease mouse models to identify modules of highly co-expressed genes...
May 21, 2018: Molecular Neurodegeneration
https://www.readbyqxmd.com/read/29783079/altered-neural-encoding-of-prediction-errors-in-assault-related-posttraumatic-stress-disorder
#13
Marisa C Ross, Jennifer K Lenow, Clinton D Kilts, Josh M Cisler
Posttraumatic stress disorder (PTSD) is widely associated with deficits in extinguishing learned fear responses, which relies on mechanisms of reinforcement learning (e.g., updating expectations based on prediction errors). However, the degree to which PTSD is associated with impairments in general reinforcement learning (i.e., outside of the context of fear stimuli) remains poorly understood. Here, we investigate brain and behavioral differences in general reinforcement learning between adult women with and without a current diagnosis of PTSD...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29782994/structural-covariance-of-brain-region-volumes-is-associated-with-both-structural-connectivity-and-transcriptomic-similarity
#14
Yohan Yee, Darren J Fernandes, Leon French, Jacob Ellegood, Lindsay S Cahill, Dulcie A Vousden, Leigh Spencer Noakes, Jan Scholz, Matthijs C van Eede, Brian J Nieman, John G Sled, Jason P Lerch
An organizational pattern seen in the brain, termed structural covariance, is the statistical association of pairs of brain regions in their anatomical properties. These associations, measured across a population as covariances or correlations usually in cortical thickness or volume, are thought to reflect genetic and environmental underpinnings. Here, we examine the biological basis of structural volume covariance in the mouse brain. We first examined large scale associations between brain region volumes using an atlas-based approach that parcellated the entire mouse brain into 318 regions over which correlations in volume were assessed, for volumes obtained from 153 mouse brain images via high-resolution MRI...
May 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29782993/generalized-recurrent-neural-network-accommodating-dynamic-causal-modeling-for-functional-mri-analysis
#15
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
#16
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/29781781/gene-expression-microarray-analysis-reveals-prognostic-markers-of-survival-in-high-grade-astrocytomas
#17
Jun Yang, Ziming Hou, Changjiang Wang, Hao Wang, Hongbing Zhang
OBJECTIVE: High grade astrocytoma (HGA) as an aggressive brain tumor, is always correlated with poor prognosis. In this paper, we aimed to explore the genetic prognostic biomarkers for HGA. METHODS: The genome-wide expression profile of 26 brain tumor samples obtained from 26 patients with HGA was downloaded from Gene Expression Omnibus. The risk genes for prognosis of HGA were identified and verified by the data in TCGA database. Protein-protein interaction (PPI) network of risk factor genes was constructed and significant module was screened...
May 21, 2018: Neurological Research
https://www.readbyqxmd.com/read/29781389/tracking-neuronal-connectivity-from-electric-brain-signals-to-predict-performance
#18
Fabrizio Vecchio, Francesca Miraglia, Paolo Maria Rossini
The human brain is a complex container of interconnected networks. Network neuroscience is a recent venture aiming to explore the connection matrix built from the human brain or human "Connectome." Network-based algorithms provide parameters that define global organization of the brain; when they are applied to electroencephalographic (EEG) signals network, configuration and excitability can be monitored in millisecond time frames, providing remarkable information on their instantaneous efficacy also for a given task's performance via online evaluation of the underlying instantaneous networks before, during, and after the task...
May 1, 2018: Neuroscientist: a Review Journal Bringing Neurobiology, Neurology and Psychiatry
https://www.readbyqxmd.com/read/29781376/immediate-early-gene-activation-throughout-the-brain-is-associated-with-dynamic-changes-in-social-context
#19
Cait M Williamson, Inbal S Klein, Won Lee, James P Curley
Social competence is dependent on successful processing of social context information. The social opportunity paradigm is a methodology in which dynamic shifts in social context are induced through removal of the alpha male in a dominance hierarchy, leading to rapid ascent in the hierarchy of the beta male and of other subordinate males in the social group. In the current study, we use the social opportunity paradigm to determine what brain regions respond to this dynamic change in social context, allowing an individual to recognize the absence of the alpha male and subsequently perform status-appropriate social behaviors...
May 21, 2018: Social Neuroscience
https://www.readbyqxmd.com/read/29780880/circadian-and-brain-state-modulation-of-network-hyperexcitability-in-alzheimer-s-disease
#20
Rosalind Brown, Alice D Lam, Alfredo Gonzalez-Sulser, Andrew Ying, Mary Jones, Robert Chang-Chih Chou, Makis Tzioras, Crispin Y Jordan, Izabela Jedrasiak-Cape, Anne-Laure Hemonnot, Maurice Abou Jaoude, Andrew J Cole, Sydney S Cash, Takashi Saito, Takaomi Saido, Richard R Ribchester, Kevan Hashemi, Iris Oren
Network hyperexcitability is a feature of Alzheimer' disease (AD) as well as numerous transgenic mouse models of AD. While hyperexcitability in AD patients and AD animal models share certain features, the mechanistic overlap remains to be established. We aimed to identify features of network hyperexcitability in AD models that can be related to epileptiform activity signatures in AD patients. We studied network hyperexcitability in mice expressing amyloid precursor protein (APP) with mutations that cause familial AD, and compared a transgenic model that overexpresses human APP (hAPP) (J20), to a knock-in model expressing APP at physiological levels (APPNL/F )...
March 2018: ENeuro
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