Literature DB >> 26372528

Decoding human swallowing via electroencephalography: a state-of-the-art review.

Iva Jestrović1, James L Coyle, Ervin Sejdić.   

Abstract

Swallowing and swallowing disorders have garnered continuing interest over the past several decades. Electroencephalography (EEG) is an inexpensive and non-invasive procedure with very high temporal resolution which enables analysis of short and fast swallowing events, as well as an analysis of the organizational and behavioral aspects of cortical motor preparation, swallowing execution and swallowing regulation. EEG is a powerful technique which can be used alone or in combination with other techniques for monitoring swallowing, detection of swallowing motor imagery for diagnostic or biofeedback purposes, or to modulate and measure the effects of swallowing rehabilitation. This paper provides a review of the existing literature which has deployed EEG in the investigation of oropharyngeal swallowing, smell, taste and texture related to swallowing, cortical pre-motor activation in swallowing, and swallowing motor imagery detection. Furthermore, this paper provides a brief review of the different modalities of brain imaging techniques used to study swallowing brain activities, as well as the EEG components of interest for studies on swallowing and on swallowing motor imagery. Lastly, this paper provides directions for future swallowing investigations using EEG.

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Year:  2015        PMID: 26372528      PMCID: PMC4596245          DOI: 10.1088/1741-2560/12/5/051001

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  99 in total

1.  Electrophysiology of appetitive taste and appetitive taste conditioning in humans.

Authors:  Ingmar H A Franken; Jorg Huijding; Ilse M T Nijs; Jan W van Strien
Journal:  Biol Psychol       Date:  2010-12-25       Impact factor: 3.251

2.  Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms.

Authors:  Fabien Lotte; Cuntai Guan
Journal:  IEEE Trans Biomed Eng       Date:  2010-09-30       Impact factor: 4.538

Review 3.  Review: does measurement of regional cerebral blood flow reflect synaptic activity? Implications for PET and fMRI.

Authors:  M Jueptner; C Weiller
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

4.  Examining the evidence on neuromuscular electrical stimulation for swallowing: a meta-analysis.

Authors:  Giselle D Carnaby-Mann; Michael A Crary
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2007-06

5.  Validation of the 50 ml3 drinking test for evaluation of post-stroke dysphagia.

Authors:  D Gottlieb; M Kipnis; E Sister; Y Vardi; S Brill
Journal:  Disabil Rehabil       Date:  1996-10       Impact factor: 3.033

Review 6.  The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

Authors:  R R Llinás
Journal:  Science       Date:  1988-12-23       Impact factor: 47.728

7.  Summated cerebral evoked responses to taste stimuli in man.

Authors:  M Funakoshi; Y Kawamura
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1971-03

8.  Further delineation of the G syndrome: a manageable genetic cause of infantile dysphagia.

Authors:  G N Wilson; W J Oliver
Journal:  J Med Genet       Date:  1988-03       Impact factor: 6.318

9.  Electrical neuroimaging reveals intensity-dependent activation of human cortical gustatory and somatosensory areas by electric taste.

Authors:  Kathrin Ohla; Ulrike Toepel; Johannes le Coutre; Julie Hudry
Journal:  Biol Psychol       Date:  2010-09-19       Impact factor: 3.251

10.  Patient-controlled comparison of flexible endoscopic evaluation of swallowing with sensory testing (FEESST) and videofluoroscopy.

Authors:  Abtin Tabaee; Paul E Johnson; Carolyn J Gartner; Kevin Kalwerisky; Rosemary B Desloge; Michael G Stewart
Journal:  Laryngoscope       Date:  2006-05       Impact factor: 3.325

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  11 in total

Review 1.  Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.

Authors:  Faezeh Movahedi; James L Coyle; Ervin Sejdic
Journal:  IEEE J Biomed Health Inform       Date:  2017-07-14       Impact factor: 5.772

2.  A fast algorithm for vertex-frequency representations of signals on graphs.

Authors:  Iva Jestrović; James L Coyle; Ervin Sejdić
Journal:  Signal Processing       Date:  2016-09-16       Impact factor: 4.662

3.  Differences in brain networks during consecutive swallows detected using an optimized vertex-frequency algorithm.

Authors:  Iva Jestrović; James L Coyle; Ervin Sejdić
Journal:  Neuroscience       Date:  2016-12-16       Impact factor: 3.590

4.  Computational deglutition: Signal and image processing methods to understand swallowing and associated disorders.

Authors:  Ervin Sejdić; Georgia A Malandraki; James L Coyle
Journal:  IEEE Signal Process Mag       Date:  2018-12-25       Impact factor: 12.551

5.  The Effect of Swallowing Cues in Healthy Individuals: An Exploratory Study.

Authors:  Rachel W Mulheren; Ianessa A Humbert
Journal:  Dysphagia       Date:  2022-05-16       Impact factor: 3.438

6.  Electrophysiological Measures of Swallowing Functions: A Systematic Review.

Authors:  Ankita M Bhutada; Tara M Davis; Kendrea L Garand
Journal:  Dysphagia       Date:  2022-02-26       Impact factor: 3.438

7.  Functional connectivity patterns of normal human swallowing: difference among various viscosity swallows in normal and chin-tuck head positions.

Authors:  Iva Jestrović; James L Coyle; Subashan Perera; Ervin Sejdić
Journal:  Brain Res       Date:  2016-09-29       Impact factor: 3.252

Review 8.  Electrokinesiographic Study of Oropharyngeal Swallowing in Neurogenic Dysphagia.

Authors:  Enrico Alfonsi; Massimiliano Todisco; Mauro Fresia; Cristina Tassorelli; Giuseppe Cosentino
Journal:  Dysphagia       Date:  2021-07-27       Impact factor: 3.438

9.  A Randomized Controlled Trial Comparing Physical and Mental Lingual Exercise for Healthy Older Adults.

Authors:  Sarah H Szynkiewicz; Erin Kamarunas; Teresa Drulia; Christina V Nobriga; Lindsay Griffin; Cynthia R O'Donoghue
Journal:  Dysphagia       Date:  2020-08-08       Impact factor: 3.438

10.  A deep learning algorithm based on 1D CNN-LSTM for automatic sleep staging.

Authors:  Dechun Zhao; Renpin Jiang; Mingyang Feng; Jiaxin Yang; Yi Wang; Xiaorong Hou; Xing Wang
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

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