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https://www.readbyqxmd.com/read/28098893/systematic-analysis-of-microarray-datasets-to-identify-parkinson-s-disease%C3%A2-associated-pathways-and-genes
#1
Yinling Feng, Xuefeng Wang
In order to investigate commonly disturbed genes and pathways in various brain regions of patients with Parkinson's disease (PD), microarray datasets from previous studies were collected and systematically analyzed. Different normalization methods were applied to microarray datasets from different platforms. A strategy combining gene co‑expression networks and clinical information was adopted, using weighted gene co‑expression network analysis (WGCNA) to screen for commonly disturbed genes in different brain regions of patients with PD...
January 16, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28097513/stable-control-of-firing-rate-mean-and-variance-by-dual-homeostatic-mechanisms
#2
Jonathan Cannon, Paul Miller
Homeostatic processes that provide negative feedback to regulate neuronal firing rates are essential for normal brain function. Indeed, multiple parameters of individual neurons, including the scale of afferent synapse strengths and the densities of specific ion channels, have been observed to change on homeostatic time scales to oppose the effects of chronic changes in synaptic input. This raises the question of whether these processes are controlled by a single slow feedback variable or multiple slow variables...
December 2017: Journal of Mathematical Neuroscience
https://www.readbyqxmd.com/read/28096673/apathy-and-intrinsic-functional-connectivity-networks-in-amnestic-mild-cognitive-impairment
#3
Soo Hyun Joo, Chang Uk Lee, Hyun Kook Lim
BACKGROUND: Although several prior works reported that apathy is associated with conversion to Alzheimer's disease in individuals with amnestic mild cognitive impairment (aMCI), effects of apathy on the functional connectivity (FC) of the brain remain unclear. In this study, we assessed the pattern of association between apathy and default mode network (DMN), salience network and central executive network (CEN) in aMCI subjects. METHODS: Fifty subjects with aMCI and 50 controls (CONs) participated in this study...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28096471/resolving-the-brainstem-contributions-to-attentional-analgesia-in-man
#4
Jonathan C W Brooks, Wendy-Elizabeth Davies, Anthony E Pickering
: Previous human imaging studies manipulating attention or expectancy have identified the periaqueductal gray (PAG) as a key brainstem structure implicated in endogenous analgesia. However, animal studies indicate that PAG analgesia is mediated largely via caudal brainstem structures like the rostral ventromedial medulla (RVM) and locus coeruleus (LC). To identify their involvement in endogenous analgesia, we used brainstem optimised, whole-brain imaging to record responses to concurrent thermal stimulation (left forearm) and visual attention tasks of titrated difficulty in 20 healthy subjects...
January 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28095900/post-stroke-dementia-a-comprehensive-review
#5
REVIEW
Milija D Mijajlović, Aleksandra Pavlović, Michael Brainin, Wolf-Dieter Heiss, Terence J Quinn, Hege B Ihle-Hansen, Dirk M Hermann, Einor Ben Assayag, Edo Richard, Alexander Thiel, Efrat Kliper, Yong-Il Shin, Yun-Hee Kim, SeongHye Choi, San Jung, Yeong-Bae Lee, Osman Sinanović, Deborah A Levine, Ilana Schlesinger, Gillian Mead, Vuk Milošević, Didier Leys, Guri Hagberg, Marie Helene Ursin, Yvonne Teuschl, Semyon Prokopenko, Elena Mozheyko, Anna Bezdenezhnykh, Karl Matz, Vuk Aleksić, DafinFior Muresanu, Amos D Korczyn, Natan M Bornstein
Post-stroke dementia (PSD) or post-stroke cognitive impairment (PSCI) may affect up to one third of stroke survivors. Various definitions of PSCI and PSD have been described. We propose PSD as a label for any dementia following stroke in temporal relation. Various tools are available to screen and assess cognition, with few PSD-specific instruments. Choice will depend on purpose of assessment, with differing instruments needed for brief screening (e.g., Montreal Cognitive Assessment) or diagnostic formulation (e...
January 18, 2017: BMC Medicine
https://www.readbyqxmd.com/read/28095425/relationship-between-clinical-parameters-and-brain-structure-in-sporadic-amyotrophic-lateral-sclerosis-patients-according-to-onset-type-a-voxel-based-morphometric-study
#6
Hee-Jin Kim, Mony de Leon, Xiuyuan Wang, Hyun Young Kim, Young-Jun Lee, Yeon-Ha Kim, Seung Hyun Kim
BACKGROUND AND PURPOSE: Amyotrophic lateral sclerosis (ALS) is a rapidly progressing, phenotypically heterogeneous neurodegenerative disease affecting mainly the motor neuron system. The present voxel-based morphometry (VBM) study investigated whether patterns of brain atrophy differ among sporadic ALS subtypes. MATERIAL AND METHODS: Sporadic ALS patients (n = 62) with normal cognition and age-matched healthy controls (n = 57) were included in the study. ALS patients were divided into limb- and bulbar-onset groups according to clinical manifestations at symptom onset (n = 48 and 14, respectively)...
2017: PloS One
https://www.readbyqxmd.com/read/28095202/interpretation-of-the-precision-matrix-and-its-application-in-estimating-sparse-brain-connectivity-during-sleep-spindles-from-human-electrocorticography-recordings
#7
Anup Das, Aaron L Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin, John C Doyle, Sydney S Cash, Eric Halgren, Terrence J Sejnowski
The correlation method from brain imaging has been used to estimate functional connectivity in the human brain. However, brain regions might show very high correlation even when the two regions are not directly connected due to the strong interaction of the two regions with common input from a third region. One previously proposed solution to this problem is to use a sparse regularized inverse covariance matrix or precision matrix (SRPM) assuming that the connectivity structure is sparse. This method yields partial correlations to measure strong direct interactions between pairs of regions while simultaneously removing the influence of the rest of the regions, thus identifying regions that are conditionally independent...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28095201/multisensory-bayesian-inference-depends-on-synapse-maturation-during-training-theoretical-analysis-and-neural-modeling-implementation
#8
Mauro Ursino, Cristiano Cuppini, Elisa Magosso
Recent theoretical and experimental studies suggest that in multisensory conditions, the brain performs a near-optimal Bayesian estimate of external events, giving more weight to the more reliable stimuli. However, the neural mechanisms responsible for this behavior, and its progressive maturation in a multisensory environment, are still insufficiently understood. The aim of this letter is to analyze this problem with a neural network model of audiovisual integration, based on probabilistic population coding-the idea that a population of neurons can encode probability functions to perform Bayesian inference...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28095198/effects-of-small-world-rewiring-probability-and-noisy-synaptic-conductivity-on-slow-waves-cortical-network
#9
Ramazan Tekin, Mehmet Emin Tagluk
Physiological rhythms play a critical role in the functional development of living beings. Many biological functions are executed with an interaction of rhythms produced by internal characteristics of scores of cells. While synchronized oscillations may be associated with normal brain functions, anomalies in these oscillations may cause or relate the emergence of some neurological or neuropsychological pathologies. This study was designed to investigate the effects of topological structure and synaptic conductivity noise on the spatial synchronization and temporal rhythmicity of the waves generated by cells in the network...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28095195/deep-learning-with-dynamic-spiking-neurons-and-fixed-feedback-weights
#10
Arash Samadi, Timothy P Lillicrap, Douglas B Tweed
Recent work in computer science has shown the power of deep learning driven by the backpropagation algorithm in networks of artificial neurons. But real neurons in the brain are different from most of these artificial ones in at least three crucial ways: they emit spikes rather than graded outputs, their inputs and outputs are related dynamically rather than by piecewise-smooth functions, and they have no known way to coordinate arrays of synapses in separate forward and feedback pathways so that they change simultaneously and identically, as they do in backpropagation...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28094815/drd2-co-expression-network-and-a-related-polygenic-index-predict-imaging-behavioral-and-clinical-phenotypes-linked-to-schizophrenia
#11
G Pergola, P Di Carlo, E D'Ambrosio, B Gelao, L Fazio, M Papalino, A Monda, G Scozia, B Pietrangelo, M Attrotto, J A Apud, Q Chen, V S Mattay, A Rampino, G Caforio, D R Weinberger, G Blasi, A Bertolino
Genetic risk for schizophrenia (SCZ) is determined by many genetic loci whose compound biological effects are difficult to determine. We hypothesized that co-expression pathways of SCZ risk genes are associated with system-level brain function and clinical phenotypes of SCZ. We examined genetic variants related to the dopamine D2 receptor gene DRD2 co-expression pathway and associated them with working memory (WM) behavior, the related brain activity and treatment response. Using two independent post-mortem prefrontal messenger RNA (mRNA) data sets (total N=249), we identified a DRD2 co-expression pathway enriched for SCZ risk genes...
January 17, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28094464/test-retest-reliability-of-functional-connectivity-networks-during-naturalistic-fmri-paradigms
#12
Jiahui Wang, Yudan Ren, Xintao Hu, Vinh Thai Nguyen, Lei Guo, Junwei Han, Christine Cong Guo
Functional connectivity analysis has become a powerful tool for probing the human brain function and its breakdown in neuropsychiatry disorders. So far, most studies adopted resting-state paradigm to examine functional connectivity networks in the brain, thanks to its low demand and high tolerance that are essential for clinical studies. However, the test-retest reliability of resting-state connectivity measures is moderate, potentially due to its low behavioral constraint. On the other hand, naturalistic neuroimaging paradigms, an emerging approach for cognitive neuroscience with high ecological validity, could potentially improve the reliability of functional connectivity measures...
January 17, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28093358/mapping-the-functional-connectome-traits-of-levels-of-consciousness
#13
Enrico Amico, Daniele Marinazzo, Carol Di Perri, Lizette Heine, Jitka Annen, Charlotte Martial, Mario Dzemidzic, Murielle Kirsch, Vincent Bonhomme, Steven Laureys, Joaquín Goñi
Examining task-free functional connectivity (FC) in the human brain offers insights on how spontaneous integration and segregation of information relate to human cognition, and how this organization may be altered in different conditions, and neurological disorders. This is particularly relevant for patients in disorders of consciousness (DOC) following severe acquired brain damage and coma, one of the most devastating conditions in modern medical care. We present a novel data-driven methodology, connICA, which implements Independent Component Analysis (ICA) for the extraction of robust independent FC patterns (FC-traits) from a set of individual functional connectomes, without imposing any a priori data stratification into groups...
January 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28093279/obesity-and-insulin-resistance-are-associated-with-reduced-activity-in-core-memory-regions-of-the-brain
#14
Lucy G Cheke, Heidi M Bonnici, Nicola S Clayton, Jon S Simons
Increasing research in animals and humans suggests that obesity may be associated with learning and memory deficits, and in particular with reductions in episodic memory. Rodent models have implicated the hippocampus in obesity-related memory impairments, but the neural mechanisms underlying episodic memory deficits in obese humans remain undetermined. In the present study, lean and obese human participants were scanned using fMRI while completing a What-Where-When episodic memory test (the "Treasure-Hunt Task") that assessed the ability to remember integrated item, spatial, and temporal details of previously encoded complex events...
January 13, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28093278/similar-patterns-of-brain-activation-abnormalities-during-emotional-and-non-emotional-judgments-of-faces-in-a-schizophrenia-family-study
#15
Michael J Spilka, Vina M Goghari
Schizophrenia patients have impaired performance and abnormal brain activation during facial emotion recognition, which may represent a marker of genetic liability to schizophrenia. However, it remains unclear whether the impairment is specific to recognizing emotion from faces or is instead attributable to more generalized dysfunction. The current study aimed to distinguish between specific and generalized neural dysfunction underlying impaired facial emotion recognition in schizophrenia and examine associations with genetic liability...
January 13, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28092321/dexmedetomidine-disrupts-the-local-and-global-efficiencies-of-large-scale-brain-networks
#16
Javeria A Hashmi, Marco L Loggia, Sheraz Khan, Lei Gao, Jieun Kim, Vitaly Napadow, Emery N Brown, Oluwaseun Akeju
BACKGROUND: A clear understanding of the neural basis of consciousness is fundamental to research in clinical and basic neuroscience disciplines and anesthesia. Recently, decreased efficiency of information integration was suggested as a core network feature of propofol-induced unconsciousness. However, it is unclear whether this finding can be generalized to dexmedetomidine, which has a different molecular target. METHODS: Dexmedetomidine was administered as a 1-μg/kg bolus over 10 min, followed by a 0...
January 16, 2017: Anesthesiology
https://www.readbyqxmd.com/read/28090665/can-patel-s-%C3%AF-accurately-estimate-directionality-of-connections-in-brain-networks-from-fmri
#17
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/28089970/spatial-working-memory-impairment-in-patients-with-non-neuropsychiatric-systemic-lupus-erythematosus-a-blood-oxygen-level-dependent-functional-magnetic-resonance-imaging-study
#18
Chun-Min Zhu, Ye Ma, Lei Xie, Jin-Zhuang Huang, Zong-Bo Sun, Shou-Xing Duan, Zhi-Rong Lin, Jing-Jing Yin, Hong-Bo Le, Dan-Miao Sun, Wen-Can Xu, Shu-Hua Ma
OBJECTIVE: Using ethology and functional magnetic resonance imaging (fMRI) to explore mild cognitive dysfunction and spatial working memory (WM) impairment in patients with systemic lupus erythematosus (SLE) without overt neuropsychiatric symptoms (non-NPSLE) and to study whether any clinical biomarkers could serve as predictors of brain dysfunction in this disease. METHODS: Eighteen non-NPSLE patients and 18 matched subjects were all tested using the Montreal cognitive assessment scale test and scanned using blood-oxygen-level dependent fMRI while performing the n-back task to investigate the activation intensity of some cognition-related areas...
January 15, 2017: Journal of Rheumatology
https://www.readbyqxmd.com/read/28089677/global-signal-regression-acts-as-a-temporal-downweighting-process-in-resting-state-fmri
#19
Alican Nalci, Bhaskar D Rao, Thomas T Liu
In resting-state functional MRI (rsfMRI), the correlation between blood oxygenation level dependent (BOLD) signals across different brain regions is used to estimate the functional connectivity of the brain. This approach has led to the identification of a number of resting-state networks, including the default mode network (DMN) and the task positive network (TPN). Global signal regression (GSR) is a widely used pre-processing step in rsfMRI that has been shown to improve the spatial specificity of the estimated resting-state networks...
January 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28089676/multimodal-evaluation-of-the-amygdala-s-functional-connectivity
#20
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
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