Neural network activity and neurological soft signs in healthy adults

2015 ◽  
Vol 278 ◽  
pp. 514-519 ◽  
Author(s):  
Philipp A. Thomann ◽  
Dusan Hirjak ◽  
Katharina M. Kubera ◽  
Bram Stieltjes ◽  
Robert C. Wolf
Keyword(s):  
Neural Network ◽  
Healthy Adults ◽  
Network Activity ◽  
Neurological Soft Signs

Beta and gamma synchronous oscillations in neural network activity in mice-induced by food deprivation

2019 ◽  
Vol 709 ◽  
pp. 134398
Author(s):  
Nifareeda Samerphob ◽  
Acharaporn Issuriya ◽  
Dania Cheaha ◽  
Surapong Chatpun ◽  
Ole Jensen ◽  
...  
Keyword(s):  
Neural Network ◽  
Food Deprivation ◽  
Network Activity ◽  
Synchronous Oscillations

Distribution of VTA Glutamate and Dopamine Terminals, and their Significance in CA1 Neural Network Activity

Neuroscience ◽  
2020 ◽  
Vol 446 ◽  
pp. 171-198 ◽  
Author(s):  
Philip A. Adeniyi ◽  
Amita Shrestha ◽  
Olalekan M. Ogundele
Keyword(s):  
Neural Network ◽  
Network Activity

Bursting as a source for predictability in biological neural network activity

1997 ◽  
Vol 110 (3-4) ◽  
pp. 323-331 ◽  
Author(s):  
L. Menendez de la Prida ◽  
N. Stollenwerk ◽  
J.V. Sanchez-Andres
Keyword(s):  
Neural Network ◽  
Network Activity ◽  
Biological Neural Network

A multi-laboratory evaluation of microelectrode array-based measurements of neural network activity for acute neurotoxicity testing

2017 ◽  
Vol 60 ◽  
pp. 280-292 ◽  
Author(s):  
Andrea Vassallo ◽  
Michela Chiappalone ◽  
Ricardo De Camargos Lopes ◽  
Bibiana Scelfo ◽  
Antonio Novellino ◽  
...  
Keyword(s):  
Neural Network ◽  
Microelectrode Array ◽  
Network Activity ◽  
Laboratory Evaluation ◽  
Acute Neurotoxicity

scholarly journals Microglia Control Neuronal Network Excitability via BDNF Signalling

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Francesco Ferrini ◽  
Yves De Koninck
Keyword(s):  
Neural Network ◽  
Nitric Oxide ◽  
Neurological Disorders ◽  
Neuronal Excitability ◽  
Current Knowledge ◽  
Glycine Receptor ◽  
Network Activity ◽  
Biophysical Mechanism ◽  
Neural Dysfunctions ◽  
Novel Therapeutic

Microglia-neuron interactions play a crucial role in several neurological disorders characterized by altered neural network excitability, such as epilepsy and neuropathic pain. While a series of potential messengers have been postulated as substrates of the communication between microglia and neurons, including cytokines, purines, prostaglandins, and nitric oxide, the specific links between messengers, microglia, neuronal networks, and diseases have remained elusive. Brain-derived neurotrophic factor (BDNF) released by microglia emerges as an exception in this riddle. Here, we review the current knowledge on the role played by microglial BDNF in controlling neuronal excitability by causing disinhibition. The efforts made by different laboratories during the last decade have collectively provided a robust mechanistic paradigm which elucidates the mechanisms involved in the synthesis and release of BDNF from microglia, the downstream TrkB-mediated signals in neurons, and the biophysical mechanism by which disinhibition occurs, via the downregulation of the K+-Cl−cotransporter KCC2, dysrupting Cl−homeostasis, and hence the strength ofGABAA- and glycine receptor-mediated inhibition. The resulting altered network activity appears to explain several features of the associated pathologies. Targeting the molecular players involved in this canonical signaling pathway may lead to novel therapeutic approach for ameliorating a wide array of neural dysfunctions.

scholarly journals Feasibility and resolution limits of opto-magnetic imaging of neural network activity in brain slices using color centers in diamond

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Mürsel Karadas ◽  
Adam M. Wojciechowski ◽  
Alexander Huck ◽  
Nils Ole Dalby ◽  
Ulrik Lund Andersen ◽  
...  
Keyword(s):  
Neural Network ◽  
Brain Slices ◽  
Network Activity ◽  
Color Centers ◽  
Magnetic Imaging ◽  
Resolution Limits

scholarly journals A Dynamic Shift of Neural Network Activity before and after Learning-set Formation

2004 ◽  
Vol 15 (6) ◽  
pp. 796-801 ◽  
Author(s):  
Chihiro Yokoyama ◽  
Hideo Tsukada ◽  
Yasuyoshi Watanabe ◽  
Hirotaka Onoe
Keyword(s):  
Neural Network ◽  
Network Activity ◽  
Before And After ◽  
Learning Set ◽  
Dynamic Shift

scholarly journals The dynamic connectome of speech control

2021 ◽  
Vol 376 (1836) ◽  
Author(s):  
Davide Valeriani ◽  
Kristina Simonyan
Keyword(s):  
Neural Network ◽  
Effective Connectivity ◽  
Vocal Learning ◽  
Brain Regions ◽  
Brain Network ◽  
Motor Output ◽  
Network Activity ◽  
Imaging Data ◽  
Whole Brain ◽  
Cost Efficient

Speech production relies on the orchestrated control of multiple brain regions. The specific, directional influences within these networks remain poorly understood. We used regression dynamic causal modelling to infer the whole-brain directed (effective) connectivity from functional magnetic resonance imaging data of 36 healthy individuals during the production of meaningful English sentences and meaningless syllables. We identified that the two dynamic connectomes have distinct architectures that are dependent on the complexity of task production. The speech was regulated by a dynamic neural network, the most influential nodes of which were centred around superior and inferior parietal areas and influenced the whole-brain network activity via long-ranging coupling with primary sensorimotor, prefrontal, temporal and insular regions. By contrast, syllable production was controlled by a more compressed, cost-efficient network structure, involving sensorimotor cortico-subcortical integration via superior parietal and cerebellar network hubs. These data demonstrate the mechanisms by which the neural network reorganizes the connectivity of its influential regions, from supporting the fundamental aspects of simple syllabic vocal motor output to multimodal information processing of speech motor output. This article is part of the theme issue ‘Vocal learning in animals and humans’.

scholarly journals Identification of neural oscillations and epileptiform changes in human brain organoids

2019 ◽  
Author(s):  
Ranmal A. Samarasinghe ◽  
Osvaldo A. Miranda ◽  
Simon Mitchell ◽  
Isabella Ferando ◽  
Momoko Watanabe ◽  
...  
Keyword(s):  
Neural Network ◽  
Human Brain ◽  
Network Architecture ◽  
Network Formation ◽  
Neurological Diseases ◽  
Extracellular Recording ◽  
Brain Network ◽  
Network Activity ◽  
Intact Brain ◽  
Oscillatory Network

ABSTRACTHuman brain organoids represent a powerful tool for the study of human neurological diseases particularly those that impact brain growth and structure. However, many neurological diseases lack obvious anatomical abnormalities, yet significantly impact neural network functions, raising the question of whether organoids possess sufficient neural network architecture and complexity to model these conditions. Here, we explore the network level functions of brain organoids using calcium sensor imaging and extracellular recording approaches that together reveal the existence of complex oscillatory network behaviors reminiscent of intact brain preparations. We further demonstrate strikingly abnormal epileptiform network activity in organoids derived from a Rett Syndrome patient despite only modest anatomical differences from isogenically matched controls, and rescue with an unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide an essential foundation for the utilization of human brain organoids to study intact and disordered human brain network formation and illustrate their utility in therapeutic discovery.

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