FV 14. Longitudinal recordings of eye movements confirm the model of sequential oculomotor alterations in amyotrophic lateral sclerosis consistent with the neuropathological staging scheme

2016 ◽  
Vol 127 (9) ◽  
pp. e217-e218
Author(s):  
M. Gorges ◽  
H.-P. Müller ◽  
D. Lulé ◽  
K. Del Tredici ◽  
J. Keller ◽  
...  
Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2690 ◽  
Author(s):  
Won-Du Chang

Eye movements generate electric signals, which a user can employ to control his/her environment and communicate with others. This paper presents a review of previous studies on such electric signals, that is, electrooculograms (EOGs), from the perspective of human–computer interaction (HCI). EOGs represent one of the easiest means to estimate eye movements by using a low-cost device, and have been often considered and utilized for HCI applications, such as to facilitate typing on a virtual keyboard, moving a mouse, or controlling a wheelchair. The objective of this study is to summarize the experimental procedures of previous studies and provide a guide for researchers interested in this field. In this work the basic characteristics of EOGs, associated measurements, and signal processing and pattern recognition algorithms are briefly reviewed, and various applications reported in the existing literature are listed. It is expected that EOGs will be a useful source of communication in virtual reality environments, and can act as a valuable communication tools for people with amyotrophic lateral sclerosis.


1983 ◽  
Vol 40 (7) ◽  
pp. 460-460
Author(s):  
L. Jacobs ◽  
D. Bozian ◽  
R. R. Heffner ◽  
S. A. Barron

1982 ◽  
Vol 39 (11) ◽  
pp. 684-686 ◽  
Author(s):  
A. Leveille ◽  
J. Kiernan ◽  
J. A. Goodwin ◽  
J. Antel

1985 ◽  
Vol 17 (5) ◽  
pp. 518-518 ◽  
Author(s):  
Peter J. Whitehouse ◽  
James K. Wamsley ◽  
Marco A. Zarbin ◽  
Donald L. Price ◽  
Michael J. Kuhar

2019 ◽  
Vol 12 (6) ◽  
Author(s):  
Wolfgang Becker ◽  
Martin Gorges ◽  
Dorothée Lulé ◽  
Elmar Pinkhardt ◽  
Albert Christian Ludolph ◽  
...  

The attempt to steadily fixate at a small visual object is continuously interrupted by a variety of fixational eye movements comprising, among others, a continuum of saccadic intrusions (SI) which ranges in size from microsaccades with amplitudes ≤0.25° to larger refixation saccades of up to about 2°. The size and frequency of SI varies considerably among individuals and is known to increase in neurodegenerative diseases such as neurodegenerative parkinsonism and amyotrophic lateral sclerosis (ALS). However, studies of ALS disagree whether also the frequency of SI increases. We undertook an analysis of SI in 119 ALS patients and 47 age-matched healthy controls whose eye movements during fixation and tests of executive functions (e.g antisaccades) had been recorded by video-oculography according to standardised procedures. SI were categorised according to their spatio-temporal patterns as stair case, back-and-forth and square wave jerks (a subcategory of back-and-forth). The SI of patients and controls were qualitatively similar (same direction preferences, similar differences between patterns), but were enlarged in ALS. Notably however, no increase of SI frequency could be demonstrated. Yet, there were clear correlations with parameters such as eye blink rate or errors in a delayed saccade task that suggest an impairment of inhibitory mechanisms, in keeping with the notion of a frontal dysfunction in ALS. However, it remains unclear how the impairment of inhibitory mechanisms in ALS could selectively increase the amplitude of intrusions without changing their frequency of occurrence.


2010 ◽  
Vol 82 (1) ◽  
pp. 110-116 ◽  
Author(s):  
C. Donaghy ◽  
M. J. Thurtell ◽  
E. P. Pioro ◽  
J. M. Gibson ◽  
R. J. Leigh

2020 ◽  
Vol 63 (1) ◽  
pp. 59-73 ◽  
Author(s):  
Panying Rong

Purpose The purpose of this article was to validate a novel acoustic analysis of oral diadochokinesis (DDK) in assessing bulbar motor involvement in amyotrophic lateral sclerosis (ALS). Method An automated acoustic DDK analysis was developed, which filtered out the voice features and extracted the envelope of the acoustic waveform reflecting the temporal pattern of syllable repetitions during an oral DDK task (i.e., repetitions of /tɑ/ at the maximum rate on 1 breath). Cycle-to-cycle temporal variability (cTV) of envelope fluctuations and syllable repetition rate (sylRate) were derived from the envelope and validated against 2 kinematic measures, which are tongue movement jitter (movJitter) and alternating tongue movement rate (AMR) during the DDK task, in 16 individuals with bulbar ALS and 18 healthy controls. After the validation, cTV, sylRate, movJitter, and AMR, along with an established clinical speech measure, that is, speaking rate (SR), were compared in their ability to (a) differentiate individuals with ALS from healthy controls and (b) detect early-stage bulbar declines in ALS. Results cTV and sylRate were significantly correlated with movJitter and AMR, respectively, across individuals with ALS and healthy controls, confirming the validity of the acoustic DDK analysis in extracting the temporal DDK pattern. Among all the acoustic and kinematic DDK measures, cTV showed the highest diagnostic accuracy (i.e., 0.87) with 80% sensitivity and 94% specificity in differentiating individuals with ALS from healthy controls, which outperformed the SR measure. Moreover, cTV showed a large increase during the early disease stage, which preceded the decline of SR. Conclusions This study provided preliminary validation of a novel automated acoustic DDK analysis in extracting a useful measure, namely, cTV, for early detection of bulbar ALS. This analysis overcame a major barrier in the existing acoustic DDK analysis, which is continuous voicing between syllables that interferes with syllable structures. This approach has potential clinical applications as a novel bulbar assessment.


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