Pekcan Ungan

Prof. Pekcan Ungan

Hacettepe University, Ankara, Turkey
+1
orcid

Research Focus & Metrics

Academic Career Length

54Years (1973-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 1975 in Biological Cybernetics
Verified
Journal Article
Closed access
PDF file
EBE. Başar
E. Başar
AGA. Gönder
A. Gönder
ÇÖÇ. Özesmi
Ç. Özesmi
Pekcan UnganPekcan Ungan
Pekcan Ungan


1 March 1976 in Biological Cybernetics
Verified
Journal Article
Closed access
PDF file
EBE. Başar
E. Başar
AGA. Gönder
A. Gönder
Pekcan UnganPekcan Ungan
Pekcan Ungan

1 April 1997 in Hearing Research
Verified
Journal Article
Closed access
Pekcan UnganPekcan Ungan
Pekcan Ungan
SYSüha Yağcioğlu
Süha Yağcioğlu
BÖBülent Özmen
Bülent Özmen

1 May 1976 in Electroencephalography and Clinical Neurophysiology
Verified
Journal Article
Closed access
Pekcan UnganPekcan Ungan
Pekcan Ungan
EBE Başar
E Başar

11 July 2014 in Frontiers in Human Neuroscience
Verified
Journal Article
Open access
PDF file
GYGizem Yilmaz
Gizem Yilmaz
Pekcan UnganPekcan Ungan
Pekcan Ungan
OSOäÿuz Sebik
Oäÿuz Sebik
PUPaulius Uginäius
Paulius Uginäius
KTKemal Turker
Kemal Turker
The electrical activity of muscles can interfere with the electroencephalogram (EEG) signal considering the anatomical locations of facial or masticatory muscles surrounding the skull. In this study, we evaluated the possible interference of the resting activity of the temporalis muscle on the EEG under conventional EEG recording conditions. In 9 healthy adults EEG activity from 19 scalp locations and single motor unit (SMU) activity from anterior temporalis muscle were recorded in three relaxed conditions; eyes open, eyes closed, jaw dropped. The EEG signal was spike triggered averaged (STA) using the action potentials of SMUs as triggers to evaluate their reflections at various EEG recording sites. Resting temporalis SMU activity generated prominent reflections with different amplitudes, reaching maxima in the proximity of the recorded SMU. Interference was also notable at the scalp sites that are relatively far from the recorded SMU and even at the contralateral locations. Considering the great number of SMUs in the head and neck muscles, prominent contamination from the activity of only a single MU should indicate the susceptibility of EEG to muscle activity artifacts even under the rest conditions. This study emphasizes the need for efficient artifact evaluation methods which can handle muscle interference.