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1.
Int J Psychophysiol ; 80(1): 44-53, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21238505

ABSTRACT

By means of a narrowband wavelet analysis (0.5-6Hz), EEG delta event-related oscillations (EROs), both time- and phase-locked to spontaneous blinking (delta blink-related oscillations or delta BROs), have recently been demonstrated. On the basis of their spatiotemporal characteristics, delta BROs have been proposed as being involved in an automatic mechanism of maintaining awareness in a visuo-spatial context. The aim of the present study was: a) to investigate whether spontaneous blinking was also able to modulate alpha oscillations and, if so, b) whether this modulation was consistent with delta BROs, in order c) to acquire additional information for a better understanding of the cognitive phenomena underlying blinking. Using a broadband (0.5-100 Hz) continuous wavelet transform (CWT), we analysed a total of 189 three-second EEG epochs time-locked to the blinks of seven healthy volunteers. The EEG signals were submitted both to band-pass filtered cross-trial averaging (to obtain frequency-specific BROs) and to alpha event-related synchronization/desynchronization (i.e., blink-related synchronization/desynchronization, BRS/BRD). The alpha oscillations showed: a) an early BRS; b) a BRD in the same temporal window of the delta BROs and, c) a late BRS. We postulate that: a) the early BRS represents the short-term memory maintenance of the last visually perceived trace of the surroundings; b) the alpha BRD is associated with the comparison between the newly perceived image of the environment and its mnestic representation, and, lastly, c) the late BRS is connected with neuronal recovery phenomena.


Subject(s)
Alpha Rhythm/physiology , Awareness/physiology , Blinking/physiology , Delta Rhythm/physiology , Rest/physiology , Space Perception/physiology , Adult , Data Collection , Electroencephalography/methods , Female , Humans , Male , Time Factors , Young Adult
2.
Neurosci Lett ; 449(1): 57-60, 2009 Jan 02.
Article in English | MEDLINE | ID: mdl-18950685

ABSTRACT

Over the past decades, many studies have linked the variations in frequency of spontaneous blinking with certain aspects of information processing and in particular with attention and working memory functions. On the other hand, according to the theory postulated by Crick and Koch, the actual function of primary consciousness is based on the reciprocal interaction between attention and working memory in the automatic and serial mode. The purpose of this study was to investigate for electrophysiological correlates compatible with the cognitive nature of spontaneous blinking, by using the EEG recordings obtained in a group of seven healthy volunteers while they rested quietly though awake, with their eyes open, but not actively engaged in attention-demanding goal-directed behaviours. The global wavelet analysis - at total of 189 three-second EEG epochs time-locked to the blink - revealed an increase in the delta band signal corresponding to the blink. In particular, a reconstruction of the EEG signal by means of inverse-wavelet transform (IWT) showed a blink-related P300-like wave at mid-parietal site. We assumed this phenomenon to represent an electrophysiological sign of the automatic processing of contextual environmental information. This might play a role in maintaining perceptive awareness of the environment at a low level of processing, while the subject is not engaged in attention-demanding tasks but rather introspectively oriented mental activities or free association(s).


Subject(s)
Blinking/physiology , Electroencephalography , Event-Related Potentials, P300/physiology , Parietal Lobe/physiology , Adult , Female , Fourier Analysis , Humans , Male , Signal Processing, Computer-Assisted , Spectrum Analysis , Young Adult
3.
Med Eng Phys ; 26(4): 279-90, 2004 May.
Article in English | MEDLINE | ID: mdl-15121053

ABSTRACT

The improvements in the motor ability in patients with Parkinson's disease due to antiparkinsonian medication is well-known and widely documented. Recent results, based both on kinematic parameters and standard electromyographic (EMG) signal analysis, clearly indicated that the medication reduced, as expected, the clinical signs of Parkinson's disease, but did not restore agonist burst duration modulation with distance in elbow flexion movements. The main aim of the present work is to shed more light on this medication effect using a wavelet analysis approach on multiple EMG signals recorded both on shoulder and elbow muscles in ballistic or rapid movements. The wavelet cross-correlation information allows us to evidence some important quantitative features of the EMG signals due to medication.


Subject(s)
Algorithms , Antiparkinson Agents/therapeutic use , Diagnosis, Computer-Assisted/methods , Electromyography/methods , Muscle Contraction , Parkinson Disease/diagnosis , Parkinson Disease/drug therapy , Aged , Arm/physiopathology , Female , Humans , Male , Middle Aged , Movement , Muscle, Skeletal/physiopathology , Parkinson Disease/physiopathology , Recovery of Function/physiology , Signal Processing, Computer-Assisted , Treatment Outcome
4.
Med Eng Phys ; 25(5): 361-9, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12711233

ABSTRACT

Using a wavelet analysis approach, it is possible to investigate better the transient and intermittent behavior of multiple electromyographic (EMG) signals during ballistic movements in Parkinsonian patients. In particular, a wavelet cross-correlation analysis on surface signals of two different shoulder muscles allows us to evidence the related unsteady and synchronization characteristics. With a suitable global parameter extracted from local wavelet power spectra, it is possible to accurately classify the subjects in terms of a reliable statistic and to study the temporal evolution of the Parkinson's disease level. Moreover, a local intermittency measure appears as a new promising index to distinguish the low-frequency behavior from normal subjects to Parkinsonian patients.


Subject(s)
Electromyography/methods , Muscle, Skeletal/physiopathology , Parkinson Disease/diagnosis , Parkinson Disease/physiopathology , Signal Processing, Computer-Assisted/instrumentation , Adult , Aged , Humans , Male , Middle Aged , Movement , Postural Balance , Predictive Value of Tests , Shoulder/physiopathology
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