Literature DB >> 25522236

Applications of electroencephalography to characterize brain activity: perspectives in stroke.

Michael R Borich1, Katlyn E Brown, Bimal Lakhani, Lara A Boyd.   

Abstract

A wide array of neuroimaging technologies are now available that offer unprecedented opportunities to study the brain in health and disease. Each technology has associated strengths and weaknesses that need to be considered to maximize their utility, especially when used in combination. One imaging technology, electroencephalography (EEG), has been in use for more than 80 years, but as a result of recent technologic advancements EEG has received renewed interest as an inexpensive, noninvasive and versatile technique to evaluate neural activity in the brain. In part, this is due to new opportunities to combine EEG not only with other imaging modalities, but also with neurostimulation and robotics technologies. When used in combination, noninvasive brain stimulation and EEG can be used to study cause-and-effect relationships between interconnected brain regions providing new avenues to study brain function. Although many of these approaches are still in the developmental phase, there is substantial promise in their ability to deepen our understanding of brain function. The ability to capture the causal relationships between brain function and behavior in individuals with neurologic disorders or injury has important clinical implications for the development of novel biomarkers of recovery and response to therapeutic interventions. The goals of this paper are to provide an overview of the fundamental principles of EEG; discuss past, present, and future applications of EEG in the clinical management of stroke; and introduce the technique of combining EEG with a form of noninvasive brain stimulation, transcranial magnetic stimulation, as a powerful synergistic research paradigm to characterize brain function in both health and disease.Video Abstract available (see Supplemental Digital Content 1, http://links.lww.com/JNPT/A87) for more insights from the authors.

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Year:  2015        PMID: 25522236     DOI: 10.1097/NPT.0000000000000072

Source DB:  PubMed          Journal:  J Neurol Phys Ther        ISSN: 1557-0576            Impact factor:   3.649


  9 in total

Review 1.  Central Nervous System Adaptation After Ligamentous Injury: a Summary of Theories, Evidence, and Clinical Interpretation.

Authors:  Alan R Needle; Adam S Lepley; Dustin R Grooms
Journal:  Sports Med       Date:  2017-07       Impact factor: 11.136

2.  Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets.

Authors:  Lorre S Atlan; Susan S Margulies
Journal:  J Neurotrauma       Date:  2019-05-23       Impact factor: 5.269

3.  Stroke Recovery and Rehabilitation Research: Issues, Opportunities, and the National Institutes of Health StrokeNet.

Authors:  Steven C Cramer; Steven L Wolf; Harold P Adams; Daofen Chen; Alexander W Dromerick; Kari Dunning; Caitlyn Ellerbe; Andrew Grande; Scott Janis; Maarten G Lansberg; Ronald M Lazar; Yuko Y Palesch; Lorie Richards; Elliot Roth; Sean I Savitz; Lawrence R Wechsler; Max Wintermark; Joseph P Broderick
Journal:  Stroke       Date:  2017-02-07       Impact factor: 7.914

4.  Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation.

Authors:  Ileana Pirovano; Alfonso Mastropietro; Yuri Antonacci; Chiara Barà; Eleonora Guanziroli; Franco Molteni; Luca Faes; Giovanna Rizzo
Journal:  Front Physiol       Date:  2022-04-05       Impact factor: 4.755

5.  Quantification of stroke lesion volume using epidural EEG in a cerebral ischaemic rat model.

Authors:  Hyun-Joon Yoo; Jinsil Ham; Nguyen Thanh Duc; Boreom Lee
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

Review 6.  Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review.

Authors:  Rihui Li; Dalin Yang; Feng Fang; Keum-Shik Hong; Allan L Reiss; Yingchun Zhang
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

7.  Reliability of Upper Limb Pin-Prick Stimulation With Electroencephalography: Evoked Potentials, Spectra and Source Localization.

Authors:  Lisa Tedesco Triccas; Kenneth P Camilleri; Camilleri Tracey; Fahimi Hnazaee Mansoureh; Wittevrongel Benjamin; Muscat Francesca; Boccuni Leonardo; Mantini Dante; Verheyden Geert
Journal:  Front Hum Neurosci       Date:  2022-07-21       Impact factor: 3.473

Review 8.  A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity.

Authors:  Angela M Auriat; Jason L Neva; Sue Peters; Jennifer K Ferris; Lara A Boyd
Journal:  Front Neurol       Date:  2015-10-29       Impact factor: 4.003

9.  Slower EEG alpha generation, synchronization and "flow"-possible biomarkers of cognitive impairment and neuropathology of minor stroke.

Authors:  Jelena Petrovic; Vuk Milosevic; Miroslava Zivkovic; Dragan Stojanov; Olga Milojkovic; Aleksandar Kalauzi; Jasna Saponjic
Journal:  PeerJ       Date:  2017-09-28       Impact factor: 2.984

  9 in total

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