Journal articles on the topic 'Neurobehavioral performance'

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1

Bast-Pettersen, Rita, Vidar Skaug, Dag Ellingsen, and Yngvar Thomassen. "Neurobehavioral performance in aluminum welders." American Journal of Industrial Medicine 37, no. 2 (February 2000): 184–92. http://dx.doi.org/10.1002/(sici)1097-0274(200002)37:2<184::aid-ajim4>3.0.co;2-o.

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Jeon, Man Joong, Joon Sakong, Pock Soo Kang, Moon Chan Kim, and Hak Soo Kim. "Effects of Ethanol on Neurobehavioral Performance." Yeungnam University Journal of Medicine 14, no. 1 (1997): 183. http://dx.doi.org/10.12701/yujm.1997.14.1.183.

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3

Bolla, Karen I. "Neurobehavioral Performance in Multiple Chemical Sensitivities." Regulatory Toxicology and Pharmacology 24, no. 1 (August 1996): S52—S54. http://dx.doi.org/10.1006/rtph.1996.0077.

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4

Muck, Rachael A., Amanda N. Hudson, Kimberly A. Honn, Shobhan Gaddameedhi, and Hans P. A. Van Dongen. "Working around the Clock: Is a Person’s Endogenous Circadian Timing for Optimal Neurobehavioral Functioning Inherently Task-Dependent?" Clocks & Sleep 4, no. 1 (February 11, 2022): 23–36. http://dx.doi.org/10.3390/clockssleep4010005.

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Neurobehavioral task performance is modulated by the circadian and homeostatic processes of sleep/wake regulation. Biomathematical modeling of the temporal dynamics of these processes and their interaction allows for prospective prediction of performance impairment in shift-workers and provides a basis for fatigue risk management in 24/7 operations. It has been reported, however, that the impact of the circadian rhythm—and in particular its timing—is inherently task-dependent, which would have profound implications for our understanding of the temporal dynamics of neurobehavioral functioning and the accuracy of biomathematical model predictions. We investigated this issue in a laboratory study designed to unambiguously dissociate the influences of the circadian and homeostatic processes on neurobehavioral performance, as measured during a constant routine protocol preceded by three days on either a simulated night shift or a simulated day shift schedule. Neurobehavioral functions were measured every 2 h using three functionally distinct assays: a digit symbol substitution test, a psychomotor vigilance test, and the Karolinska Sleepiness Scale. After dissociating the circadian and homeostatic influences and accounting for inter-individual variability, peak circadian performance occurred in the late biological afternoon (in the “wake maintenance zone”) for all three neurobehavioral assays. Our results are incongruent with the idea of inherent task-dependent differences in the endogenous circadian impact on performance. Rather, our results suggest that neurobehavioral functions are under top-down circadian control, consistent with the way they are accounted for in extant biomathematical models.
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Orna, Tzischinsky, and Barel Efrat. "Sleep Loss, Daytime Sleepiness, and Neurobehavioral Performance among Adolescents: A Field Study." Clocks & Sleep 4, no. 1 (March 7, 2022): 160–71. http://dx.doi.org/10.3390/clockssleep4010015.

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The current study investigates the impact of sleep loss on neurobehavioral functioning and sleepiness in a natural setting among healthy adolescents. Fifty-nine adolescents (32 females) from grades 7 to 12 (mean age of 16.29 ± 1.86 years) participated in the study. All participants wore the actigraph for a continuous five to seven days, including school and nonschool days. Subjective sleepiness and neurobehavioral performance (using the psychomotor vigilance test and the digit symbol substitution test) were measured three times a day on two school days and one nonschool day. The results presented that sleep loss influenced subjective sleepiness reports, showing higher sleepiness scores following sleep loss than following sufficient night sleep. Neurobehavioral functioning across all measurements was also significantly worse following sleep loss. Furthermore, participants performed worse on weekday morning assessments than on assessments at other times of the day following sleep loss. These findings suggest that sleep loss in natural settings has a significant impact on neurobehavioral performance and subjective sleepiness. Our findings have essential implications for public policy on school schedules.
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Rupp, Tracy L., Nancy J. Wesensten, Rachel Newman, and Thomas J. Balkin. "PER3andADORA2Apolymorphisms impact neurobehavioral performance during sleep restriction." Journal of Sleep Research 22, no. 2 (November 21, 2012): 160–65. http://dx.doi.org/10.1111/j.1365-2869.2012.01062.x.

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7

Arcia, Emily, Peter A. Ornstein, and David A. Otto. "Neurobehavioral Evaluation System (NES) and school performance." Journal of School Psychology 29, no. 4 (December 1991): 337–52. http://dx.doi.org/10.1016/0022-4405(91)90021-i.

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8

Kang, Seong-Kyu, Diane S. Rohlman, Mi-Young Lee, Hye-Sil Lee, Soo-Young Chung, and W. Kent Anger. "Neurobehavioral performance in workers exposed to toluene." Environmental Toxicology and Pharmacology 19, no. 3 (May 2005): 645–50. http://dx.doi.org/10.1016/j.etap.2004.12.049.

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9

Capelo, Rocío, Diane S. Rohlman, Rocío Jara, Tamara García, Jesús Viñas, José A. Lorca, Manuel Contreras Llanes, and Juan Alguacil. "Residence in an Area with Environmental Exposure to Heavy Metals and Neurobehavioral Performance in Children 9–11 Years Old: An Explorative Study." International Journal of Environmental Research and Public Health 19, no. 8 (April 14, 2022): 4732. http://dx.doi.org/10.3390/ijerph19084732.

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We explored the association between residence in an area polluted with metals and neurobehavioral performance in children aged 9 to 11. A cross-sectional study was conducted with thirty boys and thirty girls aged 9 to 11 from public schools in a heavily industrialized area, matched by age (±4 months) and gender with 15 boys and 15 girls from public schools in cities without relevant industrial activity. Neurobehavioral performance was assessed with the Behavioral Assessment and Research System. Linear regression models were used, adjusting for age, sex, social class and multimedia activities to predict each of the neurobehavioral outcome variables. No differences in neurobehavioral performance were found when all children with residence in areas with environmental exposure to metals were classified as exposed and the children from the other provinces as unexposed. However, when we compared children living <1 km from an industrial area with respect to those living more than 1 km away, significant differences were found. Children living <1 km away had lower scores on Finger Tapping (p = 0.03), Symbol-Digit (p = 0.07) and Continuous Performance (p = 0.02) than those living farther away. Our results support the hypothesis that residing close to an area with industrial activity (<1 km) is associated with deficits in neurobehavioral performance among children aged 9 to 11.
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10

Cajochen, Christian, Sat Bir S. Khalsa, James K. Wyatt, Charles A. Czeisler, and Derk-Jan Dijk. "EEG and ocular correlates of circadian melatonin phase and human performance decrements during sleep loss." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 277, no. 3 (September 1, 1999): R640—R649. http://dx.doi.org/10.1152/ajpregu.1999.277.3.r640.

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The aim of this study was to quantify the associations between slow eye movements (SEMs), eye blink rate, waking electroencephalogram (EEG) power density, neurobehavioral performance, and the circadian rhythm of plasma melatonin in a cohort of 10 healthy men during up to 32 h of sustained wakefulness. The time course of neurobehavioral performance was characterized by fairly stable levels throughout the first 16 h of wakefulness followed by deterioration during the phase of melatonin secretion. This deterioration was closely associated with an increase in SEMs. Frontal low-frequency EEG activity (1–7 Hz) exhibited a prominent increase with time awake and little circadian modulation. EEG alpha activity exhibited circadian modulation. The dynamics of SEMs and EEG activity were phase locked to changes in neurobehavioral performance and lagged the plasma melatonin rhythm. The data indicate that frontal areas of the brain are more susceptible to sleep loss than occipital areas. Frontal EEG activity and ocular parameters may be used to monitor and predict changes in neurobehavioral performance associated with sleep loss and circadian misalignment.
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Ward, Teresa M., Dean W. Beebe, Maida Lynn Chen, Carol A. Landis, Sarah Ringold, Ken Pike, and Carol A. Wallace. "Sleep Disturbances and Neurobehavioral Performance in Juvenile Idiopathic Arthritis." Journal of Rheumatology 44, no. 3 (January 15, 2017): 361–67. http://dx.doi.org/10.3899/jrheum.160556.

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Objective.To examine the extent of polysomnographic (PSG) sleep disturbances [obstructive apnea hypopnea index (OAHI), number of wake bouts, arousals, periodic limb movements] and the effect of OAHI on neurobehavioral performance in juvenile idiopathic arthritis (JIA) with obstructive sleep apnea (OSA), JIA without OSA, and controls without OSA, adjusting for intelligence quotient (IQ), pain, medications, daytime sleepiness, and wake bouts.Methods.Children 6–11 years, 68 with JIA and 67 controls, underwent 1 night of PSG and completed self-reported daytime sleepiness surveys, multiple sleep latency tests for physiological sleepiness, and neurobehavioral performance tests the next day.Results.Compared with JIA and controls without OSA, mean OAHI and arousals were significantly higher in JIA with OSA (p < 0.001, respectively). In comparison with JIA and controls without OSA, mean simple reaction time and sustained attention were significantly slower in JIA with OSA, adjusting for IQ, pain, any medication, daytime sleepiness, and wake bouts.Conclusion.Elevated OAHI is suggestive of obstructive sleep apnea and a comorbidity in JIA that may predispose children with JIA to daytime sleepiness and impaired neurobehavioral performance.
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12

Tronick, Edward Z., Karen Olson, Rebecca Rosenberg, Lisa Bohne, Jing Lu, and Barry M. Lester. "Normative Neurobehavioral Performance of Healthy Infants on the Neonatal Intensive Care Unit Network Neurobehavioral Scale." Pediatrics 113, Supplement_2 (March 1, 2004): 676–78. http://dx.doi.org/10.1542/peds.113.s2.676.

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Descriptive statistics for the Neonatal Intensive Care Unit Network Neurobehavioral Scale summary scores are provided for a sample of 125 full-term, healthy 1- to 2-day-old infants. The study sample is described, including demographic characteristics and infant and maternal medical characteristics. Descriptive statistics and percentiles are provided for the Neonatal Intensive Care Unit Network Neurobehavioral Scale summary scores. These tables can be used as quasinorms for comparison with other infants of this age.
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13

Shekleton, Julia A., Shantha M. W. Rajaratnam, Joshua J. Gooley, Eliza Van Reen, Charles A. Czeisler, and Steven W. Lockley. "Improved Neurobehavioral Performance during the Wake Maintenance Zone." Journal of Clinical Sleep Medicine 09, no. 04 (April 15, 2013): 353–62. http://dx.doi.org/10.5664/jcsm.2588.

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14

Kamel, Freya, Andrew S. Rowland, Lawrence P. Park, W. Kent Anger, Donna D. Baird, Beth C. Gladen, Tirso Moreno, Lillian Stallone, and Dale P. Sandler. "Neurobehavioral performance and work experience in Florida farmworkers." Environmental Health Perspectives 111, no. 14 (November 2003): 1765–72. http://dx.doi.org/10.1289/ehp.6341.

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15

Min, Jin-Young, Kyoung-Bok Min, Domyung Paek, Joon Sakong, and Sung-Il Cho. "The association between neurobehavioral performance and lung function." NeuroToxicology 28, no. 2 (March 2007): 441–44. http://dx.doi.org/10.1016/j.neuro.2006.03.019.

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16

Rohlman, Diane S., Michael Lasarev, W. Kent Anger, Jennifer Scherer, Jeffrey Stupfel, and Linda McCauley. "Neurobehavioral Performance of Adult and Adolescent Agricultural Workers." NeuroToxicology 28, no. 2 (March 2007): 374–80. http://dx.doi.org/10.1016/j.neuro.2006.10.006.

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17

Insana, Salvatore P., Kayla B. Williams, and Hawley E. Montgomery-Downs. "Sleep Disturbance and Neurobehavioral Performance among Postpartum Women." Sleep 36, no. 1 (January 2013): 73–81. http://dx.doi.org/10.5665/sleep.2304.

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18

Hashim, Z., N. Abdullah, N. Ismail, L. Naing, J. H. Hashim, M. H. Jaafar, and R. Nordin. "Toluene Exposure and Neurobehavioral Performance Among Automotive Workers." Epidemiology 17, Suppl (November 2006): S513. http://dx.doi.org/10.1097/00001648-200611001-01380.

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19

Bolle, Laurie, Horacio Herrera, Eug�nie Lor�tan, and Marcel-Andr� Boillat. "Neurobehavioral test performance among apprentice painters: Baseline data." American Journal of Industrial Medicine 29, no. 5 (May 1996): 539–46. http://dx.doi.org/10.1002/(sici)1097-0274(199605)29:5<539::aid-ajim14>3.0.co;2-1.

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20

Krieg, Edward F., David W. Chrislip, Carlos J. Crespo, W. Stephen Brightwell, Richard L. Ehrenberg, and David A. Otto. "The Relationship between Blood Lead Levels and Neurobehavioral Test Performance in NHANES III and Related Occupational Studies." Public Health Reports 120, no. 3 (May 2005): 240–51. http://dx.doi.org/10.1177/003335490512000305.

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Objectives. The goals of this study were two-fold: ( 1) to assess the relationship between blood lead levels and neurobehavioral test performance in a nationally representative sample of adults from the third National Health and Nutrition Evaluation Survey and ( 2) to analyze the results from previously published studies of occupational lead exposure that used the same neurobehavioral tests as those included in the survey. Methods. Regression models were used to test and estimate the relationships between measurements of blood lead and performance on a simple reaction time, a symbol-digit substitution, and a serial digit learning test in adults aged 20–59 years who participated the survey. Mixed models were used to analyze the data from the occupational studies. Results. The blood lead levels of those participating in the survey ranged from 0.7 to 41.8 μg/dl. The estimated geometric mean was 2.51 μg/dl, and the estimated arithmetic mean was 3.30 μg/dl. In the survey, no statistically significant relationships were found between blood lead concentration and performance on the three neurobehavioral tests when adjusted for covariates. In the occupational studies, the groups exposed to lead consistently performed worse than control groups on the simple reaction time and digit-symbol substitution tests. Conclusions. The results from the survey and the occupational studies do not provide evidence for impairment of neurobehavioral test performance at levels below 25 μg/dl, the concentration that the Centers for Disease Control and Prevention define as elevated in adults. The average blood lead level of the exposed groups in the occupational studies was 41.07 μg/dl, less than 50 μg/dl, the minimum concentration that the Occupational Safety and Health Administration requires for medical removal from the workplace. Given the evidence of impaired neurobehavioral performance in these groups, the 50 μg/dl limit should be reevaluated.
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21

Dijk, Derk-Jan, David F. Neri, James K. Wyatt, Joseph M. Ronda, Eymard Riel, Angela Ritz-De Cecco, Rod J. Hughes, et al. "Sleep, performance, circadian rhythms, and light-dark cycles during two space shuttle flights." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 281, no. 5 (November 1, 2001): R1647—R1664. http://dx.doi.org/10.1152/ajpregu.2001.281.5.r1647.

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Sleep, circadian rhythm, and neurobehavioral performance measures were obtained in five astronauts before, during, and after 16-day or 10-day space missions. In space, scheduled rest-activity cycles were 20–35 min shorter than 24 h. Light-dark cycles were highly variable on the flight deck, and daytime illuminances in other compartments of the spacecraft were very low (5.0–79.4 lx). In space, the amplitude of the body temperature rhythm was reduced and the circadian rhythm of urinary cortisol appeared misaligned relative to the imposed non-24-h sleep-wake schedule. Neurobehavioral performance decrements were observed. Sleep duration, assessed by questionnaires and actigraphy, was only ∼6.5 h/day. Subjective sleep quality diminished. Polysomnography revealed more wakefulness and less slow-wave sleep during the final third of sleep episodes. Administration of melatonin (0.3 mg) on alternate nights did not improve sleep. After return to earth, rapid eye movement (REM) sleep was markedly increased. Crewmembers on these flights experienced circadian rhythm disturbances, sleep loss, decrements in neurobehavioral performance, and postflight changes in REM sleep.
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Kirov, R., H. Uebel, B. Albrecht, T. Banaschewski, and A. Rothenberger. "Two faces of rem sleep in normal and psychopathological development." European Psychiatry 26, S2 (March 2011): 422–23. http://dx.doi.org/10.1016/s0924-9338(11)72130-7.

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IntroductionWe have previously found an increased rapid eye movement (REM) sleep in children with attention-deficit/hyperactivity disorder (ADHD).ObjectivesTo further investigate sleep characteristics in children with ADHD and their association with cognitive and neurobehavioral functions.AimsWe asked whether and how REM sleep might have been associated with cognitive ability and neurobehavioral functions in children with ADHD compared with healthy children.MethodsTwenty-three children with ADHD and 21 healthy controls underwent a two-night polysomnography and completed a number of standardized tests for cognitive and neurobehavioral functioning.ResultsCompared with controls, ADHD children exhibited a greater amount of REM sleep. In the ADHD group, the increased amount of REM sleep correlated positively with psychopathological scores (inattention) and negatively with performance intelligence quotient (IQ) (Fig. 1).Fig. 1[Kirov et al_Figure 1]In contrast, in the healthy controls, the REM sleep amount correlated positively with performance IQ and negatively with psychopathological scores (inattention) (Fig. 2).Fig. 2[Kirov et al_Figure 2]ConclusionsWe conclude that REM sleep may have a bi-directional role in cognition and neurobehavioral functioning during childhood depending on the presence or absence of psychopathology.
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Saddik, Basema, Ann Williamson, Iman Nuwayhid, and Deborah Black. "The Effects of Solvent Exposure on Memory and Motor Dexterity in Working Children." Public Health Reports 120, no. 6 (November 2005): 657–63. http://dx.doi.org/10.1177/003335490512000614.

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Objectives. Children working in vehicle spray-painting, mechanical, and other trade workshops are at significant risk of exposure to organic solvents and, as a result, may be at significant risk of developing clinical and subclinical signs of neurotoxicity. This study reports on the association between exposure to solvents and neurobehavioral performance on a number of non-computerized tests for working children exposed to solvents in comparison with nonexposed working children and nonexposed children at school. Methods. A convenience cross-sectional sample of 300 male children aged 10–17 years was recruited for study. The exposed working group and the two nonexposed groups (working and nonworking school) were matched, as far as possible, on geographic location of residence and age. Neurotoxic effects were assessed through a questionnaire and the child's performance on a selection of neurobehavioral tests. Results. Exposed working children scored worse on the overall neurotoxicity symptoms score (mean=6.8; standard deviation [SD]=3.6) compared with the nonexposed working children (mean = 1.3; SD=2.0) and school children (mean = 1.2; SD=1.8). Analysis of the non-computerized neurobehavioral tests demonstrated that exposed working children performed significantly worse than the two nonexposed groups on the motor dexterity and memory tests. Results of the mood test showed that exposed working children were more angry and confused than the nonexposed groups. Conclusion. There is an association between exposure to solvents and lower neurobehavioral performance, with significant neurobehavioral deficits among children exposed to solvents in comparison with working children not exposed to solvents and nonworking school children. Memory and motor dexterity appear to be particularly affected in solvent-exposed working children.
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Kim, Tae-Kyun, Dongsun Park, Young-Hwan Ban, Yeseul Cha, Eun Suk An, Jieun Choi, Ehn-Kyoung Choi, and Yun-Bae Kim. "Improvement by Human Oligodendrocyte Progenitor Cells of Neurobehavioral Disorders in an Experimental Model of Neonatal Periventricular Leukomalacia." Cell Transplantation 27, no. 7 (July 2018): 1168–77. http://dx.doi.org/10.1177/0963689718781330.

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The effects of human oligodendrocyte progenitor (F3.olig2) cells on improving neurobehavioral deficits were investigated in an experimental model of periventricular leukomalacia (PVL). Seven-day-old male rats were subjected to hypoxia-ischemia-lipopolysaccharide injection (HIL), and intracerebroventricularly transplanted with F3.olig2 (4 × 105 cells/rat) once at post-natal day (PND) 10 or repeatedly at PND10, 17, 27, and 37. Neurobehavioral disorders were evaluated at PND14, 20, 30, and 40 via cylinder test, locomotor activity, and rotarod performance, and cognitive function was evaluated at PND41–45 through passive avoidance and Morris water-maze performances. F3.olig2 cells recovered the rate of use of the forelimb contralateral to the injured brain, improved locomotor activity, and restored rotarod performance of PVL animals; in addition, marked improvement of learning and memory function was seen. It was confirmed that transplanted F3·olig2 cells migrated to injured areas, matured to oligodendrocytes expressing myelin basic protein (MBP), and markedly attenuated the loss of host MBP in the corpus callosum. The results indicate that the transplanted F3.olig2 cells restored neurobehavioral functions by preventing axonal demyelination, and that human oligodendrocyte progenitor cells could be a candidate for cell therapy of perinatal hypoxic-ischemic and infectious brain injuries including PVL and cerebral palsy.
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Rahman, Shadab A., Jason P. Sullivan, Laura K. Barger, Melissa A. St. Hilaire, Conor S. O’Brien, Katie L. Stone, Andrew J. K. Phillips, et al. "Extended Work Shifts and Neurobehavioral Performance in Resident-Physicians." Pediatrics 147, no. 3 (February 22, 2021): e2020009936. http://dx.doi.org/10.1542/peds.2020-009936.

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Jin, Youngwoo, Yangho Kim, Kyoo Sang Kim, Euna Kim, Young Sook Cho, Yong Chul Shin, Changho Chai, Younghyu Choi, Se Hoon Lee, and Young Hahn Moon. "Performance of Neurobehavioral Tests Among Welders Exposed to Manganese." Korean Journal of Occupational and Environmental Medicine 11, no. 1 (1999): 1. http://dx.doi.org/10.35371/kjoem.1999.11.1.1.

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Sung, Nak Jung, Joon Jung Sakong, Jong Hak Chung, Dae Seong Kim, Joong Jung Lee, and Jong Tae Park. "Assessment of Neurobehavioral Performance among Welders Exposed to Manganese." Korean Journal of Occupational and Environmental Medicine 12, no. 3 (2000): 327. http://dx.doi.org/10.35371/kjoem.2000.12.3.327.

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Chung, Jong-Hak, Joon Sakong, Pock-Soo Kang, Chang-Yoon Kim, Kyeong-Soo Lee, Man-Joong Jeon, Nak-Jung Sung, Sang-Ho Ahn, and Kyu-Chang Won. "Cross-Cultural Comparison of Neurobehavioral Performance in Asian Workers." NeuroToxicology 24, no. 4-5 (August 2003): 533–40. http://dx.doi.org/10.1016/s0161-813x(03)00056-1.

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Rohlman, Diane S., W. Kent Anger, and Pamela J. Lein. "Correlating neurobehavioral performance with biomarkers of organophosphorous pesticide exposure." NeuroToxicology 32, no. 2 (March 2011): 268–76. http://dx.doi.org/10.1016/j.neuro.2010.12.008.

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Till, Christine, Gideon Koren, and Joanne F. Rovet. "Prenatal exposure to organic solvents and child neurobehavioral performance." Neurotoxicology and Teratology 23, no. 3 (May 2001): 235–45. http://dx.doi.org/10.1016/s0892-0362(01)00141-6.

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Huang, Z. Q. "Divers’ neurobehavioral performance under 4.7MPa: A real-time monitoring." Archives des Maladies Professionnelles et de l'Environnement 74, no. 5 (November 2013): 550. http://dx.doi.org/10.1016/j.admp.2013.07.091.

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Letz, R. "Covariates of Computerized Neurobehavioral Test Performance in Epidemiologic Investigations." Environmental Research 61, no. 1 (April 1993): 124–32. http://dx.doi.org/10.1006/enrs.1993.1056.

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33

Mayes, Linda C., Richard H. Granger, Mary Ann Frank, Richard Schottenfeld, and Marc H. Bornstein. "Neurobehavioral Profiles of Neonates Exposed to Cocaine Prenatally." Pediatrics 91, no. 4 (April 1, 1993): 778–83. http://dx.doi.org/10.1542/peds.91.4.778.

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This study examined the effects of maternal cocaine use on performance on the Neonatal Behavioral Assessment Scale (NBAS). Cocaine-exposed newborns (n = 56) were compared with a non-cocaine-exposed group (n = 30) born to mothers with similar sociodemographic characteristics. Cocaine-exposed newborns showed significant reduction in birth weight but did not experience greater obstetric or postnatal complications. On neurobehavioral assessments using the NBAS, cocaine-exposed newborns showed significantly depressed performance on the habituation cluster but not on other NBAS clusters when differences in birth weight were controlled. In a sample of 30 cocaine-exposed newborns matched on birth weight, gestational age, and race to the 30 non-cocaine-exposed newborns, cocaine-exposed newborns continued to show depressed habituation performance. The significance of a selective effect of cocaine exposure on early habituation performance is discussed in terms of the implications for attentional regulation in the first year of life.
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Wright, Kenneth P., Joseph T. Hull, and Charles A. Czeisler. "Relationship between alertness, performance, and body temperature in humans." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 283, no. 6 (December 1, 2002): R1370—R1377. http://dx.doi.org/10.1152/ajpregu.00205.2002.

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Body temperature has been reported to influence human performance. Performance is reported to be better when body temperature is high/near its circadian peak and worse when body temperature is low/near its circadian minimum. We assessed whether this relationship between performance and body temperature reflects the regulation of both the internal biological timekeeping system and/or the influence of body temperature on performance independent of circadian phase. Fourteen subjects participated in a forced desynchrony protocol allowing assessment of the relationship between body temperature and performance while controlling for circadian phase and hours awake. Most neurobehavioral measures varied as a function of internal biological time and duration of wakefulness. A number of performance measures were better when body temperature was elevated, including working memory, subjective alertness, visual attention, and the slowest 10% of reaction times. These findings demonstrate that an increased body temperature, associated with and independent of internal biological time, is correlated with improved performance and alertness. These results support the hypothesis that body temperature modulates neurobehavioral function in humans.
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McHill, Andrew W., Joseph T. Hull, Wei Wang, Charles A. Czeisler, and Elizabeth B. Klerman. "Chronic sleep curtailment, even without extended (>16-h) wakefulness, degrades human vigilance performance." Proceedings of the National Academy of Sciences 115, no. 23 (May 21, 2018): 6070–75. http://dx.doi.org/10.1073/pnas.1706694115.

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Millions of individuals routinely remain awake for more than 18 h daily, which causes performance decrements. It is unknown if these functional impairments are the result of that extended wakefulness or from the associated shortened sleep durations. We therefore examined changes in objective reaction time performance and subjective alertness in a 32-d inpatient protocol in which participants were scheduled to wakefulness durations below 16 h while on a 20-h “day,” with randomization into standard sleep:wake ratio (1:2) or chronic sleep restriction (CSR) ratio (1:3.3) conditions. This protocol allowed determination of the contribution of sleep deficiency independent of extended wakefulness, since individual episodes of wakefulness in the CSR condition were only 15.33 h in duration (less than the usual 16 h of wakefulness in a 24-h day) and sleep episodes were 4.67 h in duration each cycle. We found that chronic short sleep duration, even without extended wakefulness, doubled neurobehavioral reaction time performance and increased lapses of attention fivefold, yet did not uniformly decrease self-reported alertness. Further, these impairments in neurobehavioral performance were worsened during the circadian night and were not recovered during the circadian day, indicating that the deleterious effect from the homeostatic buildup of CSR is expressed even during the circadian promotion of daytime arousal. These findings reveal a fundamental aspect of human biology: Chronic insufficient sleep duration equivalent to 5.6 h of sleep opportunity per 24 h impairs neurobehavioral performance and self-assessment of alertness, even without extended wakefulness.
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36

Lammers, J. H. C. M., H. H. Emmen, H. Muijser, E. M. G. Hoogendijk, R. H. McKee, D. E. Owen, and B. M. Kulig. "Neurobehavioral Effects of Cyclohexane in Rat and Human." International Journal of Toxicology 28, no. 6 (November 2009): 488–97. http://dx.doi.org/10.1177/1091581809345534.

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The neurobehavioral effects of inhaled cyclohexane in rats and humans are investigated to define relationships between internal doses and acute central nervous system effects. Rats are exposed for 3 consecutive days at target concentrations of 0, 1.4, 8, and 28 g/m3, 8 h/d. Measurements include standardized observational measures, spontaneous motor activity assessments, and learned visual discrimination performance. Cyclohexane concentrations in blood and brain are measured to assess internal exposure. Human volunteers are exposed for 4 hours to 86 or 860 mg/m3 in 2 test sessions. Neurobehavioral effects are measured using a computerized neurobehavioral test battery. In rats, there are slight reductions in psychomotor speed in the high-exposure group but minimal central nervous system effects. In humans, there are no significant treatment-related effects at the levels tested.
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37

Kim, Chang Yoon, Joon Sakong, Jong Hak Chung, Ree Joo, Man Joong Jeon, Nag Jung Sung, and Sang Kyu Kim. "Neurobehavioral Performance Test of Workers Exposed to Mixed Organic Solvents." Yeungnam University Journal of Medicine 14, no. 2 (1997): 314. http://dx.doi.org/10.12701/yujm.1997.14.2.314.

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38

Dean, Dennis A., Adam Fletcher, Steven R. Hursh, and Elizabeth B. Klerman. "Developing Mathematical Models of Neurobehavioral Performance for the “Real World”." Journal of Biological Rhythms 22, no. 3 (June 2007): 246–58. http://dx.doi.org/10.1177/0748730407301376.

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39

Sakong, Joon, Ho-Jang Kwon, Mina Ha, Yun-Chul Hong, Chul-Gab Lee, and Dong-Muk Kang. "Longitudinal Study on Blood Lead Concentration and Childrenʼs Neurobehavioral Performance." Epidemiology 22 (January 2011): S278—S279. http://dx.doi.org/10.1097/01.ede.0000392554.20021.f8.

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40

Petitto, John M., Zhi Huang, David A. Hartemink, and Ray Beck. "IL-2/15 receptor-β gene deletion alters neurobehavioral performance." Brain Research 929, no. 2 (March 2002): 218–25. http://dx.doi.org/10.1016/s0006-8993(01)03393-5.

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41

Rohlman, Diane Schertler, Ahmed A. Ismail, Gaafar Abdel-Rasoul, Michael Lasarev, Olfat Hendy, and James R. Olson. "Characterizing exposures and neurobehavioral performance in Egyptian adolescent pesticide applicators." Metabolic Brain Disease 29, no. 3 (May 16, 2014): 845–55. http://dx.doi.org/10.1007/s11011-014-9565-9.

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42

Mutti, Antonio, Claudio Ferroni, Pier P. Vescovi, Ricardo Bottazzi, Luisella Selis, Gilberto Gerra, and Innocente Franchini. "Endocrine effects of psychological stress associated with neurobehavioral performance testing." Life Sciences 44, no. 24 (January 1989): 1831–36. http://dx.doi.org/10.1016/0024-3205(89)90300-7.

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43

Kicinski, Michal, Griet Vermeir, Nicolas Van Larebeke, Elly Den Hond, Greet Schoeters, Liesbeth Bruckers, Isabelle Sioen, et al. "Neurobehavioral performance in adolescents is inversely associated with traffic exposure." Environment International 75 (February 2015): 136–43. http://dx.doi.org/10.1016/j.envint.2014.10.028.

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44

Bouchard, Maryse, Donna Mergler, and Mary Baldwin. "Manganese exposure and age: neurobehavioral performance among alloy production workers." Environmental Toxicology and Pharmacology 19, no. 3 (May 2005): 687–94. http://dx.doi.org/10.1016/j.etap.2004.12.037.

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45

Coffman, Colt A., Jacob J. M. Kay, Kat M. Saba, Adam T. Harrison, Jeffrey P. Holloway, Michael F. LaFountaine, and Robert Davis Moore. "Predictive Value of Subacute Heart Rate Variability for Determining Outcome Following Adolescent Concussion." Journal of Clinical Medicine 10, no. 1 (January 5, 2021): 161. http://dx.doi.org/10.3390/jcm10010161.

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Objective assessments of concussion recovery are crucial for facilitating effective clinical management. However, predictive tools for determining adolescent concussion outcomes are currently limited. Research suggests that heart rate variability (HRV) represents an indirect and objective marker of central and peripheral nervous system integration. Therefore, it may effectively identify underlying deficits and reliably predict the symptomology following concussion. Thus, the present study sought to evaluate the relationship between HRV and adolescent concussion outcomes. Furthermore, we sought to examine its predictive value for assessing outcomes. Fifty-five concussed adolescents (12–17 years old) recruited from a local sports medicine clinic were assessed during the initial subacute evaluation (within 15 days postinjury) and instructed to follow up for a post-acute evaluation. Self-reported clinical and depressive symptoms, neurobehavioral function, and cognitive performance were collected at each timepoint. Short-term HRV metrics via photoplethysmography were obtained under resting conditions and physiological stress. Regression analyses demonstrated significant associations between HRV metrics, clinical symptoms, neurobehavioral function, and cognitive performance at the subacute evaluation. Importantly, the analyses illustrated that subacute HRV metrics significantly predicted diminished post-acute neurobehavioral function and cognitive performance. These findings indicate that subacute HRV metrics may serve as a viable predictive biomarker for identifying underlying neurological dysfunction following concussion and predict late cognitive outcomes.
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46

Tronick, Edward Z., Deborah A. Frank, Howard Cabral, Mark Mirochnick, and Barry Zuckerman. "Late Dose-Response Effects of Prenatal Cocaine Exposure on Newborn Neurobehavioral Performance." Pediatrics 98, no. 1 (July 1, 1996): 76–83. http://dx.doi.org/10.1542/peds.98.1.76.

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Objective. To determine in a representative sample of full-term urban newborns of English-speaking mothers whether an immediate or late dose-response effect could be demonstrated between prenatal cocaine exposure and newborn neurobehavioral performance, controlling for confounding factors. Methods. The Neonatal Behavioral Assessment Scale (NBAS) was administered by masked examiners to a total sample of 251 clinically healthy, full-term infants at 2 days and/or 17 days. Three in utero cocaine exposure groups were defined: heavily exposed (n = 44, &gt;75th percentile self-reported days of use during pregnancy and/or &gt;75th percentile of meconium benzoylecognine concentration); lightly exposed (n = 79, less than both 75th percentiles); and unexposed (n = 101, no positive biological or self-report marker). At the 3-week examination there were 38 heavily exposed, 73 lightly exposed, and 94 unexposed infants. Controlling for infant birth weight, gestational age, infant age at the time of examination, mothers' age, perinatal risk, obstetric medication, and alcohol, marijuana, and cigarette use, a regression analysis evaluated the effects of levels of cocaine exposure on NBAS performance. Results. No neurobehavioral effects of exposure on the newborn NBAS cluster scores or on the qualifier scores were found when confounders were controlled for at 2 to 3 days of age. At 3 weeks, after controlling for covariates, a significant dose effect was observed, with heavily exposed infants showing poorer state regulation and greater excitability. Conclusions. These findings demonstrate specific dose-related effects of cocaine on 3-week neurobehavioral performance, particularly for the regulation of arousal, which was not observed in the first few days of life.
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47

Shi, Xiu-Quan, Wei Yan, Ke-Yue Wang, Qi-Yuan Fan, and Yan Zou. "Protective effects of dietary fibre against manganese-induced neurobehavioral aberrations in rats." Archives of Industrial Hygiene and Toxicology 63, no. 3 (September 25, 2012): 263–70. http://dx.doi.org/10.2478/10004-1254-63-2012-2149.

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We tested the hypothesis that dietary fi bre (DF) has protective effects against manganese (Mn)-induced neurotoxicity. Forty-eight one-month old Sprague-Dawley rats were randomly divided into six groups: control, 16 % DF, Mn (50 mg kg-1 body weight), Mn+ 4 % DF, Mn+ 8 % DF, and Mn+ 16 % DF. After oral administration of Mn (as MnCl2) by intragastric tube during one month, we determined Mn concentrations in the blood, liver, cerebral cortex, and stool and tested neurobehavioral functions. Administration of Mn was associated with increased Mn concentration in the blood, liver, and cerebral cortex and increased Mn excretion in the stool. Aberrations in neurobehavioral performance included increases in escape latency and number of errors and decrease in step-down latency. Irrespective of the applied dose, the addition of DF in forage decreased tissue Mn concentrations and increased Mn excretion rate in the stool by 20 % to 35 %. All neurobehavioral aberrations were also improved. Our fi ndings show that oral exposure to Mn may cause neurobehavioral abnormalities in adult rats that could be effi ciently alleviated by concomitant supplementation of DF in animal feed.
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48

LaGoy, Alice, Justin Williams, Meaghan Beckner, Leslie Jabloner, Qi Mi, Shawn Flanagan, Michael Dretsch, et al. "0295 Subjective alertness, behavioral alertness, and perception-action coupling reflect distinct aspects of neurobehavioral resilience during simulated military operational stress." Sleep 45, Supplement_1 (May 25, 2022): A133. http://dx.doi.org/10.1093/sleep/zsac079.293.

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Abstract Introduction Despite exposure to operational stressors (e.g., sleep loss, caloric restriction), military personnel must maintain different aspects of neurobehavioral function (i.e., subjective alertness, behavioral alertness, perception-action coupling) to operate safely within military environments. It is unclear whether perception-action coupling, which refers to the ability to ‘read and react’ to ever-changing circumstances, reflects a distinct aspect of neurobehavioral resilience from subjective and behavioral alertness. Further, prior sleep may enhance resilience during subsequent exposure to operational stressors. Therefore, we examined resilience across different neurobehavioral tasks during exposure to simulated military operational stress (SMOS) and examined differences in baseline sleep between resilient and vulnerable participants. Methods Forty-nine military personnel (11 females, 26.6 ± 5.8 years) completed a 5-day SMOS protocol that included two days of sleep restriction and disruption (sleep opportunities: 01:00-03:00 and 05:00-07:00) accompanied by caloric restriction (50% caloric need). Participants completed tasks of subjective alertness (Profile of Mood States Vigor subscale, POMS), behavioral alertness (Psychomotor Vigilance Task) and perception-action coupling (Perception-Action Coupling Task) at baseline and at 04:00 across the two nights of sleep disruption. For each neurobehavioral outcome, a two-step decision-making process defined resilient and vulnerable participants: resilient participants demonstrated high alertness/performance during sleep disruption and minimal change from baseline during sleep disruption. Kappa coefficients were calculated to determine agreement in resilience classification across different neurobehavioral outcomes. Further, differences between resilient and vulnerable participants in baseline sleep questionnaires (Pittsburgh Sleep Quality Index; Epworth Sleepiness Scale) and polysomnography (sleep efficiency; sleep fragmentation; and slow wave activity, SWA) were examined with independent t-tests. Results Classification of participants as resilient or vulnerable differed across neurobehavioral outcomes, as indicated by kappa values &lt;0.60. Resilient participants, defined by POMS, had lower baseline SWA than vulnerable participants (t = 2.06, p = .04). No other differences in sleep were observed between groups. Conclusion Subjective alertness, behavioral alertness, and perception-action coupling reflect distinct aspects of neurobehavioral resilience, highlighting the importance of understanding the operational relevance of different neurobehavioral measures when assessing fatigue risk. Further, more baseline SWA, indicating higher baseline sleep need, may reflect vulnerability to SMOS and subsequent sleep loss. Support (If Any) Department of Defense Award #W81XWH-17-2-0070
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49

Letz, Richard. "Quantitative Neurobehavioral Testing in Humans for Assessing Potential Effects of Occupational Exposure." Journal of the American College of Toxicology 8, no. 2 (March 1989): 303–9. http://dx.doi.org/10.3109/10915818909019554.

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Neurobehavioral tests have proven useful as noninvasive indicators of subtle neurotoxic damage. We have developed a computer-administered neurobehavioral testing system for application in a wide variety of situations for evaluating the neurotoxic effects of toxic substances in humans. Performance on these tests has been reported to be impaired by controlled laboratory exposure to known neurotoxic substances. In addition, epidemiological studies have been conducted that show poorer performance on these tests associated with subacute and chronic exposure to neurotoxicants encountered in the workplace. A number of laboratories are currently using this system. Additional work on the most appropriate methods of data analysis is necessary, but a data base collected with a standard instrument will facilitate such efforts. An argument for behavioral surveillance as a part of routine medical monitoring in industry is presented.
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50

Chung, Soo Young, Seong Kyu Kang, Dae seong Kim, and Se Hoon Lee. "Assessment of Neurobehavioral Performance Among Rotogravure Printing Workers Exposed to Toluene." Korean Journal of Occupational and Environmental Medicine 16, no. 2 (2004): 115. http://dx.doi.org/10.35371/kjoem.2004.16.2.115.

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