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Shamloo F, Kon M, Ritter E, Sereno AB. Quantifying the Magnitude and Longevity of the Effect of Repetitive Head Impacts in Adolescent Soccer Players: Deleterious Effect of Long Headers Extend Beyond a Month. Neurotrauma Rep 2023; 4:267-275. [PMID: 37095854 PMCID: PMC10122256 DOI: 10.1089/neur.2022.0085] [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: 04/26/2023] Open
Abstract
There is growing interest in the effects of sports-related repetitive head impacts (RHIs) on athletes' cognitive capabilities. This study examines the effect of RHIs in data collected from adolescent athletes to estimate the magnitude and longevity of RHIs on sensorimotor and cognitive performance. A non-linear regression model estimated the longevity of RHI effects by adding a half-life parameter embedded in an exponential decay function. A model estimate of this parameter allows the possibility of RHI effects to attenuate over time and introduces a mechanism to study the cumulative effect of RHIs. The posterior distribution of the half-life parameter associated with short-distance headers (<30 m) is centered around 6 days, whereas the posterior distribution of the half-life parameter associated with long-distance headers extends beyond a month. Additionally, the magnitude of the effect of each short header is around 3 times smaller than that of a long header. The results indicate that, on both tasks, response time (RT) changes after long headers are bigger in magnitude and last longer compared to the effects of short headers. Most important, we demonstrate that deleterious effects of long headers extend beyond 1 month. Although estimates are based on data from a relatively short-duration study with a relatively small sample size, the proposed model provides a mechanism to estimate long-term behavioral slowing from RHIs, which may be helpful to reduce the risk of additional injury. Finally, differences in the longevity of the effects of short and long RHIs may help to explain the large variance found between biomechanical input and clinical outcome in studies of concussion tolerance.
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Affiliation(s)
- Farzin Shamloo
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Maria Kon
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
- Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC, USA
- Address correspondence to: Maria Kon, PhD, Department of Psychological Sciences, Purdue University, 703 3rd Street, West Lafayette, IN 47907, USA.
| | - Elizabeth Ritter
- University of North Carolina Health, Chapel Hill, North Carolina, USA
| | - Anne B. Sereno
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
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2
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He Q, Wang Q, Wu Y, Yi L, Wei K. Automatic classification of children with autism spectrum disorder by using a computerized visual-orienting task. Psych J 2021; 10:550-565. [PMID: 33847077 DOI: 10.1002/pchj.447] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 12/04/2020] [Accepted: 03/09/2021] [Indexed: 11/09/2022]
Abstract
Early screening and diagnosis of autism spectrum disorder (ASD) primarily rely on behavioral observations by qualified clinicians whose decision process can benefit from the combination of machine learning algorithms and sensor data. We designed a computerized visual-orienting task with gaze-related or non-gaze-related directional cues, which triggered participants' gaze-following behavior. Based on their eye-movement data registered by an eye tracker, we applied the machine learning algorithms to classify high-functioning children with ASD (HFA), low-functioning children with ASD (LFA), and typically developing children (TD). We found that TD children had higher success rates in obtaining rewards than HFA children, and HFA children had higher rates than LFA children. Based on raw eye-tracking data, our machine learning algorithm could classify the three groups with an accuracy of 81.1% and relatively high sensitivity and specificity. Classification became worse if only data from the gaze or nongaze conditions were used, suggesting that "less-social" directional cues also carry useful information for distinguishing these groups. Our findings not only provide insights about visual-orienting deficits among children with ASD but also demonstrate the promise of combining classical behavioral paradigms with machine learning algorithms for aiding the screening for individuals with ASD.
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Affiliation(s)
- Qiao He
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Qiandong Wang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Yaxue Wu
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Li Yi
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Kunlin Wei
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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3
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Balagopal R, Won M, Patel SS, Chuang AZ, Sereno AB. Heading-Related Slowing by Twenty-Four Hours in Youth Athletes. J Neurotrauma 2020; 37:2664-2673. [PMID: 32799741 DOI: 10.1089/neu.2020.7085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Research suggests cumulative effects of repetitive head impacts (RHIs) on brain structure, especially with younger age of first exposure. Further, recent evidence suggests no immediate cognitive changes with increased RHIs but impairments across a sports season. The aim was to examine more closely the short-term time course of behavioral effects of exposure to RHI. Across 2 years, 18 female adolescent soccer players were tested on ProPoint (sensorimotor) and AntiPoint (cognitive) tasks with reaction time (RT) being the main outcome measure. The athletes were tested before and after workout with ball heading (immediate effect), as well as 24 h after workout (24 h effect) throughout two consecutive seasons. The number of headers performed 24 h before workout, during workout, and season average per workout were recorded. The athletes showed a decrease in ProPoint and AntiPoint RTs immediately after a workout, with no change or decrease in RTs with increasing RHIs. However, increasing RHIs during workout increased RTs in both tasks when tested 24 h later. The athletes also showed an increase in AntiPoint RTs with increasing season average RHIs. Our findings show a complex time course of effects of RHIs on sensorimotor and cognitive performance in adolescent athletes, with exposure to RHIs associated with no change or immediate benefits and then deficits by 24 h. Pathophysiological changes associated with exercise and traumatic brain injury can account for the sensorimotor and cognitive performance changes occurring within 24 h after RHIs.
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Affiliation(s)
- Radhika Balagopal
- Department of Neurobiology and Anatomy, McGovern Medical School, UTHealth, Houston, Texas, USA.,Department of Biological Sciences, University of California, Santa Barbara, California, USA
| | - Michelle Won
- Department of Neurobiology and Anatomy, McGovern Medical School, UTHealth, Houston, Texas, USA.,Department of Neurobiology and Anatomy, Texas A&M College of Medicine, Bryan, Texas, USA
| | - Saumil S Patel
- Department of Neurobiology and Anatomy, McGovern Medical School, UTHealth, Houston, Texas, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Alice Z Chuang
- Department of Ophthalmology and Visual Science, McGovern Medical School, UTHealth, Houston, Texas, USA
| | - Anne B Sereno
- Department of Neurobiology and Anatomy, McGovern Medical School, UTHealth, Houston, Texas, USA.,Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA.,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
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4
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Representation of shape, space, and attention in monkey cortex. Cortex 2019; 122:40-60. [PMID: 31345568 DOI: 10.1016/j.cortex.2019.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 02/26/2019] [Accepted: 06/12/2019] [Indexed: 11/20/2022]
Abstract
Attentional deficits are core to numerous developmental, neurological, and psychiatric disorders. At the single-cell level, much knowledge has been garnered from studies of shape and spatial properties, as well as from numerous demonstrations of attentional modulation of those properties. Despite this wealth of knowledge of single-cell responses across many brain regions, little is known about how these cellular characteristics relate to population level representations and how such representations relate to behavior; in particular, how these cellular responses relate to the representation of shape, space, and attention, and how these representations differ across cortical areas and streams. Here we will emphasize the role of population coding as a missing link for connecting single-cell properties with behavior. Using a data-driven intrinsic approach to population decoding, we show that both 'what' and 'where' cortical visual streams encode shape, space, and attention, yet demonstrate striking differences in these representations. We suggest that both pathways fully process shape and space, but that differences in representation may arise due to their differing functions and input and output constraints. Moreover, differences in the effects of attention on shape and spatial population representations in the two visual streams suggest two distinct strategies: in a ventral area, attention or task demands modulate the population representations themselves (perhaps to expand or enhance one part at the expense of other parts) while in a dorsal area, at a population representation level, attention effects are weak and nearly non-existent, perhaps in order to maintain veridical representations needed for visuomotor control. We show that an intrinsic approach, as opposed to theory-driven and labeled approaches, is useful for understanding how representations develop and differ across brain regions. Most importantly, these approaches help link cellular properties more tightly with behavior, a much-needed step to better understand and interpret cellular findings and key to providing insights to improve interventions in human disorders.
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Timimi S, Milton D, Bovell V, Kapp S, Russell G. Deconstructing Diagnosis: Four Commentaries on a Diagnostic Tool to Assess Individuals for Autism Spectrum Disorders. AUTONOMY (BIRMINGHAM, ENGLAND) 2019; 1:AR26. [PMID: 31396391 PMCID: PMC6687500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Diagnostic assessment tools are widely used instruments in research and clinical practice to assess and evaluate autism symptoms for both children and adults. These tools typically involve observing the child or adult under assessment, and rating their behaviour for signs or so-called symptoms of autism. In order to examine how autism diagnosis is constructed, how diagnostic tools are positioned, and how their trainings are delivered, we paid for four places on a training course for a diagnostic tool. We asked the attendees (the first four authors) to each produce a critical commentary about their impressions of the training and the diagnostic tool itself. Their commentaries are published here in full. They have various disciplinary backgrounds: one is a social scientist, one an ethicist, one a psychiatrist, and one a developmental psychologist. The commentaries are followed by a concluding section that summarises the themes, commonalities, and differences between their accounts of the training course. Authors differed as to whether the diagnostic tool is a useful and necessary endeavour. Nevertheless, all critiqued of the tool's lack of transparency, recognizing context, emotion, and differences in interpretation and power imbalances as playing an unidentified role in the assessment process. Based on this project, we recommend that training for raters for such tools should be accessible to a wider group of people, and incorporate more explicit recognition of its own limitations and commercialisation.
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Sato W, Kochiyama T, Uono S, Yoshimura S, Toichi M. Neural Mechanisms Underlying Conscious and Unconscious Gaze-Triggered Attentional Orienting in Autism Spectrum Disorder. Front Hum Neurosci 2017; 11:339. [PMID: 28701942 PMCID: PMC5487428 DOI: 10.3389/fnhum.2017.00339] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/12/2017] [Indexed: 11/29/2022] Open
Abstract
Impaired joint attention represents the core clinical feature of autism spectrum disorder (ASD). Behavioral studies have suggested that gaze-triggered attentional orienting is intact in response to supraliminally presented eyes but impaired in response to subliminally presented eyes in individuals with ASD. However, the neural mechanisms underlying conscious and unconscious gaze-triggered attentional orienting remain unclear. We investigated this issue in ASD and typically developing (TD) individuals using event-related functional magnetic resonance imaging. The participants viewed cue stimuli of averted or straight eye gaze direction presented either supraliminally or subliminally and then localized a target. Reaction times were shorter when eye-gaze cues were directionally valid compared with when they were neutral under the supraliminal condition in both groups; the same pattern was found in the TD group but not the ASD group under the subliminal condition. The temporo–parieto–frontal regions showed stronger activation in response to averted eyes than to straight eyes in both groups under the supraliminal condition. The left amygdala was more activated while viewing averted vs. straight eyes in the TD group than in the ASD group under the subliminal condition. These findings provide an explanation for the neural mechanisms underlying the impairment in unconscious but not conscious gaze-triggered attentional orienting in individuals with ASD and suggest possible neurological and behavioral interventions to facilitate their joint attention behaviors.
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Affiliation(s)
- Wataru Sato
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Takanori Kochiyama
- Brain Activity Imaging Center, Advanced Telecommunications Research Institute InternationalKyoto, Japan
| | - Shota Uono
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Sayaka Yoshimura
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan
| | - Motomi Toichi
- Faculty of Human Health Science, Graduate School of Medicine, Kyoto UniversityKyoto, Japan.,The Organization for Promoting Neurodevelopmental Disorder ResearchKyoto, Japan
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7
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Koerte IK, Nichols E, Tripodis Y, Schultz V, Lehner S, Igbinoba R, Chuang AZ, Mayinger M, Klier EM, Muehlmann M, Kaufmann D, Lepage C, Heinen F, Schulte-Körne G, Zafonte R, Shenton ME, Sereno AB. Impaired Cognitive Performance in Youth Athletes Exposed to Repetitive Head Impacts. J Neurotrauma 2017; 34:2389-2395. [PMID: 28381107 DOI: 10.1089/neu.2016.4960] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Worldwide, more than 22 million children and adolescents are exposed to repetitive head impacts (RHI) in soccer. Evidence indicates cumulative effects on brain structure, but it is not known whether exposure to RHI affects cognitive improvement in adolescents. The aim of the study was to determine whether exposure to RHI while heading the ball in soccer affects improvement in cognitive performance in adolescents over time. The study group consisted of a convenience sample of 16 male soccer players (mean age 15.7 ± 0.7 years). A comparison cohort of 14 male non-contact sports athletes (mean age 14.9 ± 1.1 years) was recruited from competitive athletic clubs and group-matched in age. Using the ProPoint and AntiPoint tasks, sensorimotor and cognitive functions were measured over both immediate (pre- vs. post-training) as well as across multiple time points within a play season. The number and type of head impacts that occurred during the training were counted. The main outcome measure was the change in response time (RT) in the ProPoint and AntiPoint tasks. The immediate (pre- vs. post-training) and longer-term (across a play season) change in RT was analyzed, and the effect of the number and type of head impacts was tested. Thirty athletes with and without exposure to RHI demonstrated a decrease in RT in both tasks immediately after training. Over the play season, both groups showed improvement in sensorimotor function. While the control group also improved in cognitive performance, the soccer players did not, however. Further, the more long headers performed, the slower the improvement in RT over the season. Youth athletes experience an immediate cognitive improvement after training most likely because of physical exercise. Results of this study also suggest an association between exposure to specific RHI (long headers) and lack of improvement in cognitive performance in youth athletes over time.
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Affiliation(s)
- Inga K Koerte
- 1 Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians-Universität , Munich, Germany .,2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital , and Harvard Medical School, Boston, Massachusetts
| | - Elizabeth Nichols
- 1 Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians-Universität , Munich, Germany
| | - Yorghos Tripodis
- 3 Department of Biostatistics, Boston University School of Public Health , Boston, Massachusetts
| | - Vivian Schultz
- 1 Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians-Universität , Munich, Germany .,2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital , and Harvard Medical School, Boston, Massachusetts
| | - Stefan Lehner
- 4 Department of Applied Sciences and Mechatronics, University of Applied Sciences , Munich, Germany
| | - Randy Igbinoba
- 5 Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas Health Science Center , Houston, Texas
| | - Alice Z Chuang
- 6 Department of Ophthalmology and Visual Science, McGovern Medical School, University of Texas Health Science Center , Houston, Texas
| | - Michael Mayinger
- 1 Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians-Universität , Munich, Germany .,2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital , and Harvard Medical School, Boston, Massachusetts
| | - Eliana M Klier
- 5 Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas Health Science Center , Houston, Texas
| | - Marc Muehlmann
- 7 Institute for Clinical Radiology , Ludwig-Maximilians-Universität, Munich, Germany
| | | | - Christian Lepage
- 2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital , and Harvard Medical School, Boston, Massachusetts
| | - Florian Heinen
- 9 Department of Pediatric Neurology, Dr. von Hauner Children's Hospital , Ludwig-Maximilians- Universität, Munich, Germany
| | - Gerd Schulte-Körne
- 1 Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians-Universität , Munich, Germany
| | - Ross Zafonte
- 10 Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital , Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Martha E Shenton
- 2 Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital , and Harvard Medical School, Boston, Massachusetts.,11 VA Boston Healthcare System , Boston, Massachusetts
| | - Anne B Sereno
- 5 Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas Health Science Center , Houston, Texas
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