Literature DB >> 35754347

Pathological changes of brain oscillations following ischemic stroke.

Yoshimichi Sato1,2,3, Oliver Schmitt4, Zachary Ip5,6, Gratianne Rabiller1,2, Shunsuke Omodaka1,2,3, Teiji Tominaga3, Azadeh Yazdan-Shahmorad5,6, Jialing Liu1,2.   

Abstract

Brain oscillations recorded in the extracellular space are among the most important aspects of neurophysiology data reflecting the activity and function of neurons in a population or a network. The signal strength and patterns of brain oscillations can be powerful biomarkers used for disease detection and prediction of the recovery of function. Electrophysiological signals can also serve as an index for many cutting-edge technologies aiming to interface between the nervous system and neuroprosthetic devices and to monitor the efficacy of boosting neural activity. In this review, we provided an overview of the basic knowledge regarding local field potential, electro- or magneto- encephalography signals, and their biological relevance, followed by a summary of the findings reported in various clinical and experimental stroke studies. We reviewed evidence of stroke-induced changes in hippocampal oscillations and disruption of communication between brain networks as potential mechanisms underlying post-stroke cognitive dysfunction. We also discussed the promise of brain stimulation in promoting post stroke functional recovery via restoring neural activity and enhancing brain plasticity.

Entities:  

Keywords:  LFP; coherence; connectivity; modulation index; sharp wave associated ripples

Mesh:

Year:  2022        PMID: 35754347      PMCID: PMC9536122          DOI: 10.1177/0271678X221105677

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.960


  173 in total

1.  neuroVIISAS: approaching multiscale simulation of the rat connectome.

Authors:  Oliver Schmitt; Peter Eipert
Journal:  Neuroinformatics       Date:  2012-07

Review 2.  Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning.

Authors:  György Buzsáki
Journal:  Hippocampus       Date:  2015-10       Impact factor: 3.899

3.  Magnetoencephalography: evidence of magnetic fields produced by alpha-rhythm currents.

Authors:  D Cohen
Journal:  Science       Date:  1968-08-23       Impact factor: 47.728

4.  Towards pre-hospital identification of acute ischemic stroke: The value of QEEG from a single frontal channel.

Authors:  Simon Finnigan; Andrew Wong
Journal:  Clin Neurophysiol       Date:  2020-05-19       Impact factor: 3.708

Review 5.  Non-epileptiform EEG abnormalities: an overview.

Authors:  Maria Emilia Cosenza Andraus; Soniza Vieira Alves-Leon
Journal:  Arq Neuropsiquiatr       Date:  2011-10       Impact factor: 1.420

Review 6.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

7.  Electroencephalography improves the prediction of functional outcome in the acute stage of cerebral ischemia.

Authors:  J P Cillessen; A C van Huffelen; L J Kappelle; A Algra; J van Gijn
Journal:  Stroke       Date:  1994-10       Impact factor: 7.914

8.  Multi-modal artificial dura for simultaneous large-scale optical access and large-scale electrophysiology in non-human primate cortex.

Authors:  Devon J Griggs; Karam Khateeb; Jasmine Zhou; Teng Liu; Ruikang Wang; Azadeh Yazdan-Shahmorad
Journal:  J Neural Eng       Date:  2021-04-14       Impact factor: 5.379

9.  Hippocampal sharp wave/ripples during sleep for consolidation of associative memory.

Authors:  Wiâm Ramadan; Oxana Eschenko; Susan J Sara
Journal:  PLoS One       Date:  2009-08-20       Impact factor: 3.240

Review 10.  Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum.

Authors:  Simon Hanslmayr; Bernhard P Staresina; Howard Bowman
Journal:  Trends Neurosci       Date:  2016-01       Impact factor: 13.837

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