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https://www.readbyqxmd.com/read/29452265/characterizing-the-modulation-of-resting-state-fmri-metrics-by-baseline-physiology
#1
Powell P W Chu, Ali M Golestani, Jonathan B Kwinta, Yasha B Khatamian, J Jean Chen
The blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) signal is commonly used to assess functional connectivity across brain regions, particularly in the resting state (rs-fMRI). However, the BOLD fMRI signal is not merely a representation of neural activity, but a combination of neural activity and vascular response. These aspects of the BOLD signal are easily influenced by systemic physiology, potentially biasing BOLD-based functional connectivity measurements. In this work, we focus on the following physiological modulators of the BOLD signal: cerebral blood flow (CBF), venous blood oxygenation, and cerebrovascular reactivity (CVR)...
February 13, 2018: NeuroImage
https://www.readbyqxmd.com/read/29451300/decreased-anterior-cingulate-activation-in-a-motor-task-in-youths-with-bipolar-disorder
#2
Jace B King, Jeffrey S Anderson, Deborah A Yurgelun-Todd, Punitha Subramaniam, Marie R Ehrler, Melissa P Lopez-Larson
BACKGROUND: Bipolar disorder (BP) is characterized by abnormal shifts in mood between episodes of mania and severe depression, both of which have been linked with psychomotor disturbances. This study compares brain activation patterns in motor networks between euthymic youths with BP and healthy controls (HC) during the completion of a simple motor task. METHODS: Thirty-five youths with BP and 35 HC (aged 10-19) completed a self-paced sequential bilateral finger-tapping task, consisting of a 4-minute scan block with alternating 20-second periods of either the tapping task (six blocks) or rest (six blocks), while undergoing functional magnetic resonance imaging...
February 16, 2018: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/29451210/intravenous-morphine-self-administration-alters-accumbal-microrna-profiles-in-the-mouse-brain
#3
Juhwan Kim, Heh-In Im, Changjong Moon
A significant amount of evidence indicates that microRNAs (miRNAs) play an important role in drug addiction. The nucleus accumbens (NAc) is a critical part of the brain's reward circuit and is involved in a variety of psychiatric disorders, including depression, anxiety, and drug addiction. However, few studies have examined the expression of miRNAs and their functional roles in the NAc under conditions of morphine addiction. In this study, mice were intravenously infused with morphine (0.01, 0.03, 0.3, 1 and 3 mg/kg/infusion) and showed inverted U-shaped response...
January 2018: Neural Regeneration Research
https://www.readbyqxmd.com/read/29451125/reduced-integration-and-improved-segregation-of-functional-brain-networks-in-alzheimer-s-disease
#4
A Kabbara, H Eid, W El Falou, M Khalil, F Wendling, M Hassan
OBJECTIVE: Emerging evidence shows that cognitive deficits in Alzheimer's disease (AD) are associated with disruptions in brain functional connectivity. Thus, the identification of alterations in AD functional networks has become a topic of increasing interest. However, to what extent AD induces disruption of the balance of local and global information processing in the human brain remains elusive. The main objective of this study is to explore the dynamic topological changes of AD networks in terms of brain network segregation and integration...
February 16, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29450940/statistical-inference-in-brain-graphs-using-threshold-free-network-based-statistics
#5
Hugo C Baggio, Alexandra Abos, Barbara Segura, Anna Campabadal, Anna Garcia-Diaz, Carme Uribe, Yaroslau Compta, Maria Jose Marti, Francesc Valldeoriola, Carme Junque
The description of brain networks as graphs where nodes represent different brain regions and edges represent a measure of connectivity between a pair of nodes is an increasingly used approach in neuroimaging research. The development of powerful methods for edge-wise group-level statistical inference in brain graphs while controlling for multiple-testing associated false-positive rates, however, remains a difficult task. In this study, we use simulated data to assess the properties of threshold-free network-based statistics (TFNBS)...
February 15, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29450484/neurological-manifestations-among-us-government-personnel-reporting-directional-audible-and-sensory-phenomena-in-havana-cuba
#6
Randel L Swanson, Stephen Hampton, Judith Green-McKenzie, Ramon Diaz-Arrastia, M Sean Grady, Ragini Verma, Rosette Biester, Diana Duda, Ronald L Wolf, Douglas H Smith
Importance: From late 2016 through August 2017, US government personnel serving on diplomatic assignment in Havana, Cuba, reported neurological symptoms associated with exposure to auditory and sensory phenomena. Objective: To describe the neurological manifestations that followed exposure to an unknown energy source associated with auditory and sensory phenomena. Design, Setting, and Participants: Preliminary results from a retrospective case series of US government personnel in Havana, Cuba...
February 15, 2018: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/29449814/multisite-delayed-feedback-for-electrical-brain-stimulation
#7
Oleksandr V Popovych, Peter A Tass
Demand-controlled deep brain stimulation (DBS) appears to be a promising approach for the treatment of Parkinson's disease (PD) as revealed by computational, pre-clinical and clinical studies. Stimulation delivery is adapted to brain activity, for example, to the amount of neuronal activity considered to be abnormal. Such a closed-loop stimulation setup might help to reduce the amount of stimulation current, thereby maintaining therapeutic efficacy. In the context of the development of stimulation techniques that aim to restore desynchronized neuronal activity on a long-term basis, specific closed-loop stimulation protocols were designed computationally...
2018: Frontiers in Physiology
https://www.readbyqxmd.com/read/29449712/imaging-structural-and-functional-brain-development-in-early-childhood
#8
REVIEW
John H Gilmore, Rebecca C Knickmeyer, Wei Gao
In humans, the period from term birth to ∼2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk of disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk of neuropsychiatric disorders. This Review discusses the development of grey and white matter and structural and functional networks, as well as genetic and environmental influences on early-childhood brain development...
February 16, 2018: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/29449649/predicting-sex-from-brain-rhythms-with-deep-learning
#9
Michel J A M van Putten, Sebastian Olbrich, Martijn Arns
We have excellent skills to extract sex from visual assessment of human faces, but assessing sex from human brain rhythms seems impossible. Using deep convolutional neural networks, with unique potential to find subtle differences in apparent similar patterns, we explore if brain rhythms from either sex contain sex specific information. Here we show, in a ground truth scenario, that a deep neural net can predict sex from scalp electroencephalograms with an accuracy of >80% (p < 10 -5 ), revealing that brain rhythms are sex specific...
February 15, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29449457/the-activity-of-thalamic-nucleus-reuniens-is-critical-for-memory-retrieval-but-not-essential-for-the-early-phase-of-off-line-consolidation
#10
Hao Mei, Nikos K Logothetis, Oxana Eschenko
Spatial navigation depends on the hippocampal function, but also requires bidirectional interactions between the hippocampus (HPC) and the prefrontal cortex (PFC). The cross-regional communication is typically regulated by critical nodes of a distributed brain network. The thalamic nucleus reuniens (RE) is reciprocally connected to both HPC and PFC and may coordinate the information flow within the HPC-PFC pathway. Here we examined if RE activity contributes to the spatial memory consolidation. Rats were trained to find reward following a complex trajectory on a crossword-like maze...
March 2018: Learning & Memory
https://www.readbyqxmd.com/read/29449446/improving-accuracy-of-simultaneously-reconstructed-activity-and-attenuation-maps-using-deep-learning
#11
Donghwi Hwang, Kyeong Yun Kim, Seung Kwan Kang, Seongho Seo, Jin Chul Paeng, Dong Soo Lee, Jae Sung Lee
Simultaneous reconstruction of activity and attenuation using the maximum likelihood reconstruction of activity and attenuation (MLAA) augmented by time-of-flight (TOF) information is a promising method for positron emission tomography (PET) attenuation correction. However, it still suffers from several problems, including crosstalk artifacts, slow convergence speed, and noisy attenuation maps (μ-maps). In this work, we developed deep convolutional neural networks (CNNs) to overcome these MLAA limitations, and we verified their feasibility using a clinical brain PET data set...
February 15, 2018: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
https://www.readbyqxmd.com/read/29449430/a-critical-role-for-the-nucleus-reuniens-in-long-term-but-not-short-term-associative-recognition-memory-formation
#12
G R I Barker, E C Warburton
Recognition memory for single items requires the perirhinal cortex (PRH), while recognition of an item and its associated location, requires a functional interaction between the PRH, hippocampus (HPC) and medial prefrontal cortex (mPFC). While the precise mechanisms through which these interactions are effected are unknown, the nucleus reuniens (NRe) has bidirectional connections with each regions and hence may play a role in recognition memory. Here we investigated, in male rats, whether specific manipulations of NRe function affected performance of recognition memory for single items, object location or object-in-place associations...
February 15, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29449183/altered-resting-state-voxel-level-whole-brain-functional-connectivity-in-depressed-parkinson-s-disease
#13
Hansheng Wang, Huiyue Chen, Jiahui Wu, Li Tao, Ya Pang, Min Gu, Fajin Lv, Tianyou Luo, Oumei Cheng, Ke Sheng, Jin Luo, Yida Hu, Weidong Fang
BACKGROUND: Depression is one of the most common non-motor symptoms in Parkinson's disease (PD), but its pathogenesis is still not very clear. Recently, degree centrality, a voxel-level whole-brain functional connectivity (FC) analysis of resting-state functional magnetic resonance imaging, has provided the most promising way to explore the neural network mechanisms underlying depressed PD. METHODS: Degree centrality, voxel-wise image and clinical symptoms correlation and secondary seed-based FC analyses were performed in twenty-seven drug-naïve, early stage depressed PD patients, 27 non-depressed PD patients and 27 healthy controls (HCs) to reveal voxel-level whole-brain FC changes in depressed PD...
February 9, 2018: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/29448436/nonparametric-weighted-stochastic-block-models
#14
Tiago P Peixoto
We present a Bayesian formulation of weighted stochastic block models that can be used to infer the large-scale modular structure of weighted networks, including their hierarchical organization. Our method is nonparametric, and thus does not require the prior knowledge of the number of groups or other dimensions of the model, which are instead inferred from data. We give a comprehensive treatment of different kinds of edge weights (i.e., continuous or discrete, signed or unsigned, bounded or unbounded), as well as arbitrary weight transformations, and describe an unsupervised model selection approach to choose the best network description...
January 2018: Physical Review. E
https://www.readbyqxmd.com/read/29448391/relationship-between-the-mechanisms-of-gamma-rhythm-generation-and-the-magnitude-of-the-macroscopic-phase-response-function-in-a-population-of-excitatory-and-inhibitory-modified-quadratic-integrate-and-fire-neurons
#15
Akihiko Akao, Yutaro Ogawa, Yasuhiko Jimbo, G Bard Ermentrout, Kiyoshi Kotani
Gamma oscillations are thought to play an important role in brain function. Interneuron gamma (ING) and pyramidal interneuron gamma (PING) mechanisms have been proposed as generation mechanisms for these oscillations. However, the relation between the generation mechanisms and the dynamical properties of the gamma oscillation are still unclear. Among the dynamical properties of the gamma oscillation, the phase response function (PRF) is important because it encodes the response of the oscillation to inputs...
January 2018: Physical Review. E
https://www.readbyqxmd.com/read/29448128/hubs-in-the-human-fetal-brain-network
#16
Marion I van den Heuvel, Elise Turk, Janessa H Manning, Jasmine Hect, Edgar Hernandez-Andrade, Sonia S Hassan, Roberto Romero, Martijn P van den Heuvel, Moriah E Thomason
Advances in neuroimaging and network analyses have lead to discovery of highly connected regions, or hubs, in the connectional architecture of the human brain. Whether these hubs emerge in utero, has yet to be examined. The current study addresses this question and aims to determine the location of neural hubs in human fetuses. Fetal resting-state fMRI data (N = 105) was used to construct connectivity matrices for 197 discrete brain regions. We discovered that within the connectional functional organization of the human fetal brain key hubs are emerging...
February 6, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29448074/a-probabilistic-approach-to-discovering-dynamic-full-brain-functional-connectivity-patterns
#17
REVIEW
Jeremy R Manning, Xia Zhu, Theodore L Willke, Rajesh Ranganath, Kimberly Stachenfeld, Uri Hasson, David M Blei, Kenneth A Norman
Recent research shows that the covariance structure of functional magnetic resonance imaging (fMRI) data - commonly described as functional connectivity - can change as a function of the participant's cognitive state (for review see (Turk-Browne, 2013)). Here we present a Bayesian hierarchical matrix factorization model, termed hierarchical topographic factor analysis (HTFA), for efficiently discovering full-brain networks in large multi-subject neuroimaging datasets. HTFA approximates each subject's network by first re-representing each brain image in terms of the activities of a set of localized nodes, and then computing the covariance of the activity time series of these nodes...
February 12, 2018: NeuroImage
https://www.readbyqxmd.com/read/29447951/suction-electrode-recording-in-locus-coeruleus-of-newborn-rat-brain-slices-reveals-network-bursting-comprising-summated-non-synchronous-spiking
#18
Vladimir Rancic, Bijal Rawal, Bogdan Panaitescu, Araya Ruangkittisakul, Klaus Ballanyi
The brainstem locus coeruleus (LC) controling behaviors like arousal, sleep, breathing, pain or opioid withdrawal is an established model for spontaneous action potential synchronization. Such synchronous 'spiking' might produce an extracellular field potential (FP) which is a crucial tool for neural network analyses. We found using ≥10 μm tip diameter suction electrodes in newborn rat brainstem slices that the LC generates at ∼1 Hz a robust rhythmic FP (rFP). During distinct rFP phases, LC neurons discharge with a jitter of ±33 ms single spikes that summate to a ∼200 ms-lasting population burst...
February 12, 2018: Neuroscience Letters
https://www.readbyqxmd.com/read/29447256/modulation-of-neural-circuits-underlying-temporal-production-by-facial-expressions-of-pain
#19
Daniela Ballotta, Fausta Lui, Carlo Adolfo Porro, Paolo Frigio Nichelli, Francesca Benuzzi
According to the Scalar Expectancy Theory, humans are equipped with a biological internal clock, possibly modulated by attention and arousal. Both emotions and pain are arousing and can absorb attentional resources, thus causing distortions of temporal perception. The aims of the present single-event fMRI study were to investigate: a) whether observation of facial expressions of pain interferes with time production; and b) the neural network subserving this kind of temporal distortions. Thirty healthy volunteers took part in the study...
2018: PloS One
https://www.readbyqxmd.com/read/29446971/preserved-neural-event-segmentation-in-healthy-older-adults
#20
Christopher A Kurby, Jeffrey M Zacks
An important feature of action understanding is that comprehenders segment the perceptual stream into events. Event segmentation dynamically engages a network of brain regions that likely play a role in how events are encoded. Here, in a sample of older adults, we assessed the relationship between changes in brain dynamics during movie watching and event understanding performance. Forty healthy older adults and a comparison sample of 12 younger adults passively viewed short movies of everyday activities while their brain activity was measured with fMRI...
February 15, 2018: Psychology and Aging
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