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Domingo-Sanz VA. Persistence of primitive reflexes associated with asymmetries in fixation and ocular motility values. J Eye Mov Res 2024; 17. [PMID: 39246715 PMCID: PMC11379514 DOI: 10.16910/jemr.17.2.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024] Open
Abstract
This cross-sectional study examined eye movement performance in patients aged 4 to 16 years. Measurements of eye movements were obtained before and after performing therapy for inhibition of four primitive reflexes, asymmetric tonic neck reflex, symmetric tonic neck reflex, labyrinthine tonic reflex and Moro reflex. Subsequently the scores of the four primitive reflexes were compared with the results of five variables: fixation maintenance, % mean saccade size, motility excursions, fixations during excursions and mean duration of fixations. The comparisons showed a significant reduction in evidence of fixation maintenance as well as mean saccade size due to the inhibition of the four primitive reflexes. There was also a significant increase in ocular motility while fixations per saccade and average duration of fixations also decreased significantly. Visual balance between values of both eyes improved in all tests. A device called VisagraphTM III, which measures eye movements, was used for data collection. These results suggest that the oculomotor improvements reflect the involvement of other maturational processes such as the emergence and inhibition of primitive reflexes, the whole reorganization being key to future reading and attentional processes.
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Kim NI, Chen J, Wang W, Kim JY, Kwon MK, Moradnia M, Pouladi S, Ryou JH. Skin-Attached Arrayed Piezoelectric Sensors for Continuous and Safe Monitoring of Oculomotor Movements. Adv Healthc Mater 2024; 13:e2303581. [PMID: 38386698 DOI: 10.1002/adhm.202303581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 02/08/2024] [Indexed: 02/24/2024]
Abstract
Abnormal oculomotor movements are known to be linked to various types of brain disorders, physical/mental shocks to the brain, and other neurological disorders, hence its monitoring can be developed into a simple but effective diagnostic tool. To overcome the limitations in the current eye-tracking system and electrooculography, a piezoelectric arrayed sensor system is developed using single-crystalline III-N thin-film transducers, which offers advantages of mechanical flexibility, biocompatibility, and high electromechanical conversion, for continuous monitoring of oculomotor movements by skin-attachable, safe, and highly sensitive sensors. The flexible piezoelectric eye movement sensor array (F-PEMSA), consisting of three transducers, is attached to the face temple area where it can be comfortably wearable and can detect the muscles' activity associated with the eye motions. Output voltages from upper, mid, and lower sensors (transducers) on different temple areas generate discernable patterns of output voltage signals with different combinations of positive/negative signs and their relative magnitudes for the various movements of eyeballs including 8 directional (lateral, vertical, and diagonal) and two rotational movements, which enable various types of saccade and pursuit tests. The F-PEMSA can be used in clinical studies on the brain-eye relationship to evaluate the functional integrity of multiple brain systems and cognitive processes.
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Affiliation(s)
- Nam-In Kim
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Materials Science and Engineering Program, University of Houston, Houston, TX, 77204, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
| | - Jie Chen
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Materials Science and Engineering Program, University of Houston, Houston, TX, 77204, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
| | - Weijie Wang
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
| | - Ja-Yeon Kim
- Korea Photonics Technology Institute (KOPTI), Gwangju, 61007, Republic of Korea
| | - Min-Ki Kwon
- Department of Photonic Engineering, Chosun University, Gwangju, 61452, Republic of Korea
| | - Mina Moradnia
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
| | - Sara Pouladi
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
| | - Jae-Hyun Ryou
- Department of Mechanical Engineering, University of Houston, Houston, TX, 77204-2004, USA
- Materials Science and Engineering Program, University of Houston, Houston, TX, 77204, USA
- Advanced Manufacturing Institute (AMI), University of Houston, Houston, TX, 77204, USA
- Texas Center for Superconductivity at UH (TcSUH), University of Houston, Houston, TX, 77204, USA
- Department of Electrical & Computer Engineering, University of Houston, Houston, TX, 77204, USA
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Gupta N, Atiya A, Selvakumar A, Hussaindeen JR. Efficacy of Neuro-Optometric visual rehabilitation in Homonymous Hemianopia. Brain Inj 2024; 38:186-193. [PMID: 38297449 DOI: 10.1080/02699052.2024.2309254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024]
Abstract
OBJECTIVES To assess oculomotor dysfunction and the effectiveness of neuro-optometric visual rehabilitation in improving oculomotor parameters in participants with homonymous hemianopia. MATERIALS AND METHODS Fifty subjects diagnosed with homonymous hemianopia (HH), referred through the neuro-ophthalmology department, were recruited for the study. All the subjects underwent a detailed neuro-optometric evaluation that included testing for sensory, visuo-motor and oculomotor functions. Subjects with homonymous hemianopia were then prescribed with yoked prisms and were randomized to two treatments at one month, namely group 1: yoked prisms (n = 15) and group 2: yoked prisms with in-office visual search training (n = 15). RESULTS The mean ± SD age of the subjects was 46 ± 12 years. Subjects with HH exhibited a significant delay in the completion time, response and accuracy of tasks on proactive, saccadic and visual search parameters using the SVI compared to age-matched controls (Independent t-test, p < 0.05). A significant improvement in the reading speed and visual search parameters (RM ANOVA, p < 0.001) was seen post neuro-optometric visual rehabilitation with both yoked prisms and SVI. Statistically significant differences were observed in the reaction time of the visual search paradigms between the two rehabilitative modalities yoked (group1), yoked and SVI (group2) (Mann-Whitney U test, p < 0.001), with the group 2 showing better visual search performance outcomes compared to group 1 (yoked). CONCLUSION Visual search parameters among participants with homonymous hemianopia improved following combined rehabilitation (yoked prisms and visual search trainng).
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Affiliation(s)
- Nayan Gupta
- The Sankara Nethralaya Academy, Unit of Medical Research Foundation, Chennai, India
| | - Ayisha Atiya
- Neuro-Optometry Clinic, Unit of Medical Research Foundation, Chennai, India
| | - Ambika Selvakumar
- Neuro-ophthalmology, Unit of Medical Research Foundation, Chennai, India
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A Pilot Investigation of Visual Pathways in Patients with Mild Traumatic Brain Injury. Neurol Int 2023; 15:534-548. [PMID: 36976675 PMCID: PMC10054811 DOI: 10.3390/neurolint15010032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/02/2023] [Accepted: 03/09/2023] [Indexed: 03/22/2023] Open
Abstract
In this study, we examined visual processing within primary visual areas (V1) in normal and visually impaired individuals who exhibit significant visual symptomology due to sports-related mild traumatic brain injury (mTBI). Five spatial frequency stimuli were applied to the right, left and both eyes in order to assess the visual processing of patients with sports-related mild traumatic brain injuries who exhibited visual abnormalities, i.e., photophobia, blurriness, etc., and controls. The measurement of the left/right eye and binocular integration was accomplished via the quantification of the spectral power and visual event-related potentials. The principal results have shown that the power spectral density (PSD) measurements display a distinct loss in the alpha band-width range, which corresponded to more instances of medium-sized receptive field loss. Medium-size receptive field loss may correspond to parvocellular (p-cell) processing deprecation. Our major conclusion provides a new measurement, using PSD analysis to assess mTBI conditions from primary V1 areas. The statistical analysis demonstrated significant differences between the mTBI and control cohort in the Visual Evoked Potentials (VEP) amplitude responses and PSD measurements. Additionally, the PSD measurements were able to assess the improvement in the mTBI primary visual areas over time through rehabilitation.
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Abbas Farishta R, Farivar R. Montreal Brain Injury Vision Screening Test for General Practitioners. Front Hum Neurosci 2022; 16:858378. [PMID: 35911590 PMCID: PMC9330036 DOI: 10.3389/fnhum.2022.858378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Visual disturbances are amongst the most commonly reported symptoms after a traumatic brain injury (TBI) despite vision testing being uncommon at initial clinical evaluation. TBI patients consistently present a wide range of visual complaints, including photophobia, double vision, blurred vision, and loss of vision which can detrimentally affect reading abilities, postural balance, and mobility. In most cases, especially in rural areas, visual disturbances of TBI would have to be diagnosed and assessed by primary care physicians, who lack the specialized training of optometry. Given that TBI patients have a restricted set of visual concerns, an opportunity exists to develop a screening protocol for specialized evaluation by optometrists—one that a primary care physician could comfortably carry out and do so in a short time. Here, we designed a quick screening protocol that assesses the presence of core visual symptoms present post-TBI. The MOBIVIS (Montreal Brain Injury Vision Screening) protocol takes on average 5 min to perform and is composed of only “high-yield” tests that could be performed in the context of a primary care practice and questions most likely to reveal symptoms needing further vision care management. The composition of our proposed protocol and questionnaire are explained and discussed in light of existing protocols. Its potential impact and ability to shape a better collaboration and an integrative approach in the management of mild TBI (mTBI) patients is also discussed.
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Affiliation(s)
- Reza Abbas Farishta
- McGill Vision Research Unit, Department of Ophthalmology and Vision Sciences, McGill University, Montréal, QC, Canada
- *Correspondence: Reza Abbas Farishta
| | - Reza Farivar
- McGill Vision Research Unit, Department of Ophthalmology and Vision Sciences, McGill University, Montréal, QC, Canada
- Research Institute of the McGill University Health Centre, McGill University, Montréal, QC, Canada
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Facchin A, Mischi E, Iannello C, Maffioletti S, Daini R. Normative Values of the Groffman Visual Tracing Test for the Assessment of Oculomotor Performance in the Adult Population. Vision (Basel) 2022; 6:34. [PMID: 35737421 PMCID: PMC9229512 DOI: 10.3390/vision6020034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/17/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022] Open
Abstract
The Groffman visual tracing (GVT) test is an indirect psychometric measure of oculomotor performance, used for the clinical assessment of eye movements. The test consists of two cards with five contorted lines of increasing overlap, crowding, and difficulty. The task starts from each of the letters at the top of the page, follows the line from the letter to the corresponding number at the bottom of the page, and the number is named. Although the GVT test was developed for the evaluation of children, it has also been applied to adults with visual and cognitive deficits. However, it lacks reference values. Therefore, the aim of the study was to assess oculomotor behavior across the typical human lifespan and to define normative data in an adult population. A total of 526 adults aged between 20 and 79 years, all without neurological or psychiatric deficits, were enrolled in the study. The results were analyzed by considering the accuracy and execution times separately. An influence of age, education and sex for accuracy was found, and age for the execution times was found. Norms for adults were developed considering the specific structure of the test and the accuracy and the execution time separately. The GVT test can now be applied in healthy and neurological adult populations for the evaluation of oculomotor performance.
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Affiliation(s)
- Alessio Facchin
- Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy;
- COMiB—Optics and Optometry Research Center, University of Milano-Bicocca, 20126 Milan, Italy
- NeuroMI—Milan Center for Neuroscience, 20126 Milan, Italy
- Institute of Research and Studies in Optics and Optometry, 50059 Vinci, Italy;
| | - Elisa Mischi
- Material Science Department, University of Milano-Bicocca, 20126 Milan, Italy; (E.M.); (C.I.)
| | - Camilla Iannello
- Material Science Department, University of Milano-Bicocca, 20126 Milan, Italy; (E.M.); (C.I.)
| | - Silvio Maffioletti
- Institute of Research and Studies in Optics and Optometry, 50059 Vinci, Italy;
| | - Roberta Daini
- Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy;
- COMiB—Optics and Optometry Research Center, University of Milano-Bicocca, 20126 Milan, Italy
- NeuroMI—Milan Center for Neuroscience, 20126 Milan, Italy
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Rauchman SH, Albert J, Pinkhasov A, Reiss AB. Mild-to-Moderate Traumatic Brain Injury: A Review with Focus on the Visual System. Neurol Int 2022; 14:453-470. [PMID: 35736619 PMCID: PMC9227114 DOI: 10.3390/neurolint14020038] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 02/01/2023] Open
Abstract
Traumatic Brain Injury (TBI) is a major global public health problem. Neurological damage from TBI may be mild, moderate, or severe and occurs both immediately at the time of impact (primary injury) and continues to evolve afterwards (secondary injury). In mild (m)TBI, common symptoms are headaches, dizziness and fatigue. Visual impairment is especially prevalent. Insomnia, attentional deficits and memory problems often occur. Neuroimaging methods for the management of TBI include computed tomography and magnetic resonance imaging. The location and the extent of injuries determine the motor and/or sensory deficits that result. Parietal lobe damage can lead to deficits in sensorimotor function, memory, and attention span. The processing of visual information may be disrupted, with consequences such as poor hand-eye coordination and balance. TBI may cause lesions in the occipital or parietal lobe that leave the TBI patient with incomplete homonymous hemianopia. Overall, TBI can interfere with everyday life by compromising the ability to work, sleep, drive, read, communicate and perform numerous activities previously taken for granted. Treatment and rehabilitation options available to TBI sufferers are inadequate and there is a pressing need for new ways to help these patients to optimize their functioning and maintain productivity and participation in life activities, family and community.
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Affiliation(s)
- Steven H. Rauchman
- The Fresno Institute of Neuroscience, Fresno, CA 93730, USA
- Correspondence:
| | - Jacqueline Albert
- Department of Medicine, Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA; (J.A.); (A.B.R.)
| | - Aaron Pinkhasov
- Department of Psychiatry, NYU Long Island School of Medicine, Mineola, NY 11501, USA;
| | - Allison B. Reiss
- Department of Medicine, Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA; (J.A.); (A.B.R.)
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Kim SY, Moon BY, Cho HG, Yu DS. Comparison of image-based quantification methods in evaluating fixation stability using a remote eye tracker in abnormal phoria. J Int Med Res 2022; 50:3000605221098183. [PMID: 35546441 PMCID: PMC9112722 DOI: 10.1177/03000605221098183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 04/13/2022] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE This study was performed to establish a quantitative evaluation and comparison of fixation stability, as measured by an eye tracker, using image-based areas determined by the bivariate contour ellipse area (BCEA), kernel density estimation (KDE), and Scanpath methods. METHODS This prospective cross-sectional study included 45 and 20 participants with abnormal and normal phoria, respectively. Eye movements were recorded using a remote eye tracker and were plotted using RStudio software. Image-based areas were evaluated using ImageJ software. RESULTS The image-based areas used to evaluate fixation stability exhibited decreasing stability in the abnormal phoria group in the following order: KDE with ±1 standard deviation (SD), BCEA with ±1 SD, KDE with ±2 SD or Scanpath, and BCEA with ±2 SD. The BCEA tended to be overestimated, and the KDE tended to be underestimated at high density. The Scanpath method had a very high probability area because the area spans all gaze points. CONCLUSIONS Fixation stability could be quantified as image-based areas by the KDE, BCEA, and Scanpath methods. Our findings suggest that fixation stability may be evaluated using one or more methods.
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Affiliation(s)
- Sang-Yeob Kim
- Department of Optometry, Kangwon National University, Samcheok, South Korea
| | - Byeong-Yeon Moon
- Department of Optometry, Kangwon National University, Samcheok, South Korea
| | - Hyun Gug Cho
- Department of Optometry, Kangwon National University, Samcheok, South Korea
| | - Dong-Sik Yu
- Department of Optometry, Kangwon National University, Samcheok, South Korea
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Schmid W, Fan Y, Chi T, Golanov E, Regnier-Golanov AS, Austerman RJ, Podell K, Cherukuri P, Bentley T, Steele CT, Schodrof S, Aazhang B, Britz GW. Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries. J Neural Eng 2021; 18. [PMID: 34330120 DOI: 10.1088/1741-2552/ac1982] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/30/2021] [Indexed: 12/16/2022]
Abstract
Mild traumatic brain injuries (mTBIs) are the most common type of brain injury. Timely diagnosis of mTBI is crucial in making 'go/no-go' decision in order to prevent repeated injury, avoid strenuous activities which may prolong recovery, and assure capabilities of high-level performance of the subject. If undiagnosed, mTBI may lead to various short- and long-term abnormalities, which include, but are not limited to impaired cognitive function, fatigue, depression, irritability, and headaches. Existing screening and diagnostic tools to detect acute andearly-stagemTBIs have insufficient sensitivity and specificity. This results in uncertainty in clinical decision-making regarding diagnosis and returning to activity or requiring further medical treatment. Therefore, it is important to identify relevant physiological biomarkers that can be integrated into a mutually complementary set and provide a combination of data modalities for improved on-site diagnostic sensitivity of mTBI. In recent years, the processing power, signal fidelity, and the number of recording channels and modalities of wearable healthcare devices have improved tremendously and generated an enormous amount of data. During the same period, there have been incredible advances in machine learning tools and data processing methodologies. These achievements are enabling clinicians and engineers to develop and implement multiparametric high-precision diagnostic tools for mTBI. In this review, we first assess clinical challenges in the diagnosis of acute mTBI, and then consider recording modalities and hardware implementation of various sensing technologies used to assess physiological biomarkers that may be related to mTBI. Finally, we discuss the state of the art in machine learning-based detection of mTBI and consider how a more diverse list of quantitative physiological biomarker features may improve current data-driven approaches in providing mTBI patients timely diagnosis and treatment.
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Affiliation(s)
- William Schmid
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Yingying Fan
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Taiyun Chi
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Eugene Golanov
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | | | - Ryan J Austerman
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | - Kenneth Podell
- Department of Neurology, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | - Paul Cherukuri
- Institute of Biosciences and Bioengineering (IBB), Rice University, Houston, TX 77005, United States of America
| | - Timothy Bentley
- Office of Naval Research, Arlington, VA 22203, United States of America
| | - Christopher T Steele
- Military Operational Medicine Research Program, US Army Medical Research and Development Command, Fort Detrick, MD 21702, United States of America
| | - Sarah Schodrof
- Department of Athletics-Sports Medicine, Rice University, Houston, TX 77005, United States of America
| | - Behnaam Aazhang
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Gavin W Britz
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
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Abstract
Alexia refers to a reading disorder caused by some form of acquired brain pathology, most commonly a stroke or tumor, in a previously literate subject. In neuropsychology, a distinction is made between central alexia (commonly seen in aphasia) and peripheral alexia (a perceptual or attentional deficit). The prototypical peripheral alexia is alexia without agraphia (pure alexia), where patients can write but are impaired in reading words and letters. Pure alexia is associated with damage to the left ventral occipitotemporal cortex (vOT) or its connections. Hemianopic alexia is associated with less extensive occipital damage and is caused by a visual field defect, which creates problems reading longer words and passages of text. Reading impairment can also arise due to attentional deficits, most commonly following right hemisphere or bilateral lesions. Studying patients with alexia, along with functional imaging studies of normal readers, has improved our understanding of the neurobiological processes involved in reading. A key question is whether an area in the left ventral occipitotemporal cortex is specialized for or selectively involved in word processing, or whether reading relies on tuning of more general purpose perceptual areas. Reading deficits may also be observed in dementia and traumatic brain injury, but often with less consistent deficit patterns than in patients with focal lesions.
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Affiliation(s)
- Randi Starrfelt
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
| | - Zoe Woodhead
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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Facchin A. Spotlight on the Developmental Eye Movement (DEM) Test. CLINICAL OPTOMETRY 2021; 13:73-81. [PMID: 33688290 PMCID: PMC7936383 DOI: 10.2147/opto.s232487] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/10/2021] [Indexed: 05/05/2023]
Abstract
The developmental eye movement (DEM) test is a practical and simple method for assessing and quantifying ocular motor skills in children. In this review, a summary of the literature relevant to the DEM test has been made, its psychometric properties and its pros and cons have also been considered. The DEM test provides clinicians with a simple method of measuring eye movement using a psychometric test. Over the years, many studies have enabled the identification of the strengthens and weaknesses of this test apart from outlining the psychometric properties. The validity of the test has been checked and expanded over time and studies have shown that the DEM test measures an aspect of eye movement related to reading, rather than purely parameters associated with eye-movement. Some reservations have emerged regarding the repeatability of the test because a degree of learning effect emerges over multiple sessions. Being aware of this point allows correct clinical application and interpretation of the test. Normative data in children were available for nine languages and countries. So far, DEM test could be applied clinically in each case when a rapid test of eye movement was required, such as in testing for vision-related visual problems.
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Affiliation(s)
- Alessio Facchin
- Materials Science Department & COMiB Research Centre in Optics and Optometry, University of Milano-Bicocca, Milano, Italy
- Institute of Research and Studies in Optics and Optometry (IRSOO), Vinci, Italy
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12
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Mao Y, He Y, Liu L, Chen X. Disease Classification Based on Eye Movement Features With Decision Tree and Random Forest. Front Neurosci 2020; 14:798. [PMID: 32848569 PMCID: PMC7423879 DOI: 10.3389/fnins.2020.00798] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/07/2020] [Indexed: 12/16/2022] Open
Abstract
Medical research shows that eye movement disorders are related to many kinds of neurological diseases. Eye movement characteristics can be used as biomarkers of Parkinson's disease, Alzheimer's disease (AD), schizophrenia, and other diseases. However, due to the unknown medical mechanism of some diseases, it is difficult to establish an intuitive correspondence between eye movement characteristics and diseases. In this paper, we propose a disease classification method based on decision tree and random forest (RF). First, a variety of experimental schemes are designed to obtain eye movement images, and information such as pupil position and area is extracted as original features. Second, with the original features as training samples, the long short-term memory (LSTM) network is used to build classifiers, and the classification results of the samples are regarded as the evolutionary features. After that, multiple decision trees are built according to the C4.5 rules based on the evolutionary features. Finally, a RF is constructed with these decision trees, and the results of disease classification are determined by voting. Experiments show that the RF method has good robustness and its classification accuracy is significantly better than the performance of previous classifiers. This study shows that the application of advanced artificial intelligence (AI) technology in the pathological analysis of eye movement has obvious advantages and good prospects.
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Affiliation(s)
- Yuxing Mao
- State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China
| | - Yinghong He
- State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China
| | - Lumei Liu
- State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China
| | - Xueshuo Chen
- State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China
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