Adolescent Sport-Related Concussion and the Associated Neurophysiological Changes: A Systematic Review
Tài liệu tham khảo
Patricios, 2023, Consensus statement on concussion in sport: the 6th international conference on concussion in sport-amsterdam, October 2022, Br J Sports Med, 57, 695, 10.1136/bjsports-2023-106898
Gordon, 2022, Canadians reporting sport-related concussions: increasing and now stabilizing, Clin J Sport Med, 32, 313, 10.1097/JSM.0000000000000888
Konrad, 2013, Brain development during adolescence: neuroscientific insights into this developmental period, Dtsch Arztebl Int, 110, 425
Dambinova, 2016, Functional, structural, and neurotoxicity biomarkers in integrative assessment of concussions, Front Neurol, 7, 172, 10.3389/fneur.2016.00172
Davis, 2023, Child SCAT6, Br J Sports Med, 57, 636, 10.1136/bjsports-2023-106982
Echemendia, 2023, Sport concussion assessment tool™ - 6 (SCAT6), Br J Sports Med, 57, 622, 10.1136/bjsports-2023-106849
Valovich, 2003, Repeat administration elicits a practice effect with the balance error scoring system but not with the standardized assessment of concussion in high school athletes, J Athl Train, 38, 51
Hänninen, 2016, Sport concussion assessment tool - 3rd edition - normative reference values for professional ice hockey players, J Sci Med Sport, 19, 636, 10.1016/j.jsams.2015.08.005
Chin, 2016, Reliability and validity of the sport concussion assessment tool-3 (SCAT3) in high school and collegiate athletes, Am J Sports Med, 44, 2276, 10.1177/0363546516648141
Cameron, 2022, One-year stability of preseason sport concussion assessment tool 5 (SCAT5) values in university level collision and combative sport athletes, Phys Sportsmed, 50, 478, 10.1080/00913847.2021.1955225
Anderson, 2020, The ability of CNS vital signs to detect coached sandbagging performance during concussion baseline testing: a randomized control trial, Brain Inj, 34, 369, 10.1080/02699052.2020.1724332
Kamins, 2017, What is the physiological time to recovery after concussion? A systematic review, Br J Sports Med, 51, 935, 10.1136/bjsports-2016-097464
Stone, 2013, Early history of electroencephalography and Establishment of the American Clinical Neurophysiology Society, J Clin Neurophysiol, 30, 28, 10.1097/WNP.0b013e31827edb2d
Beres, 2017, Time is of the essence: a review of electroencephalography (EEG) and event-related brain potentials (ERPs) in language research, Appl Psychophysiol Biofeedback, 42, 247, 10.1007/s10484-017-9371-3
Rapp, 2015, Traumatic brain injury detection using electrophysiological methods, Front Hum Neurosci, 9, 11, 10.3389/fnhum.2015.00011
Nuwer, 2005, Routine and quantitative EEG in mild traumatic brain injury, Clin Neurophysiol, 116, 2001, 10.1016/j.clinph.2005.05.008
Thatcher, 2001, An EEG severity index of traumatic brain injury, J Neuropsychiatry Clin Neurosci, 13, 77, 10.1176/jnp.13.1.77
Teplan, 2002, Fundamental of EEG measurement, Meas Sci Rev, 2, 1
Ianof, 2017, Traumatic brain injury: an EEG point of view, Dement Neuropsychol, 11, 3, 10.1590/1980-57642016dn11-010002
Corbin-Berrigan, 2023, The use of electroencephalography as an informative tool in assisting early clinical management after sport-related concussion: a systematic review, Neuropsychol Rev, 33, 144, 10.1007/s11065-020-09442-8
Liberati, 2009, The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration, BMJ, 339, b2700, 10.1136/bmj.b2700
Moher, 2009, Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement, BMJ, 339, b2535, 10.1136/bmj.b2535
İnce, 2021, The inventor of electroencephalography (EEG): Hans Berger (1873–1941), Childs Nerv Syst, 37, 2723, 10.1007/s00381-020-04564-z
Ouzzani, 2016, Rayyan—a web and mobile app for systematic reviews, Syst Rev, 5, 210, 10.1186/s13643-016-0384-4
Slim, 2003, Methodological index for non-randomized studies (MINORS): development and validation of a new instrument, ANZ J Surg, 73, 712, 10.1046/j.1445-2197.2003.02748.x
2014
Howell, 2021, Quantitative multimodal assessment of concussion recovery in youth athletes, Clin J Sport Med, 31, 133, 10.1097/JSM.0000000000000722
Hristopulos, 2019, Disrupted information flow in resting-state in adolescents with sports related concussion, Front Hum Neurosci, 13, 419, 10.3389/fnhum.2019.00419
Moore, 2015, The persistent influence of pediatric concussion on attention and cognitive control during flanker performance, Biol Psychol, 109, 93, 10.1016/j.biopsycho.2015.04.008
Munia, 2017, A novel EEG based spectral analysis of persistent brain function alteration in athletes with concussion history, Sci Rep, 7, 10.1038/s41598-017-17414-x
Poltavski, 2019, Frontal theta-gamma ratio is a sensitive index of concussion history in athletes on tasks of visuo-motor control, Sci Rep, 9, 10.1038/s41598-019-54054-9
Thanjavur, 2021, Recurrent neural network-based acute concussion classifier using raw resting state EEG data, Sci Rep, 11, 10.1038/s41598-021-91614-4
Virji-Babul, 2014, Changes in functional brain networks following sports-related concussion in adolescents, J Neurotrauma, 31, 1914, 10.1089/neu.2014.3450
Emery, 2017, What strategies can be used to effectively reduce the risk of concussion in sport? A systematic review, Br J Sports Med, 51, 978, 10.1136/bjsports-2016-097452
Oostenveld, 2001, The five percent electrode system for high-resolution EEG and ERP measurements, Clin Neurophysiol, 112, 713, 10.1016/S1388-2457(00)00527-7
Echemendia, 2023, Acute evaluation of sport-related concussion and implications for the sport concussion assessment tool (SCAT6) for adults, adolescents and children: a systematic review, Br J Sports Med, 57, 722, 10.1136/bjsports-2022-106661
Putukian, 2023, Clinical recovery from concussion-return to school and sport: a systematic review and meta-analysis, Br J Sports Med, 57, 798, 10.1136/bjsports-2022-106682
Schneider, 2023, Targeted interventions and their effect on recovery in children, adolescents and adults who have sustained a sport-related concussion: a systematic review, Br J Sports Med, 57, 771, 10.1136/bjsports-2022-106685
Prichep, 2013, Time course of clinical and electrophysiological recovery after sport-related concussion, J Head Trauma Rehabil, 28, 266, 10.1097/HTR.0b013e318247b54e
Register-Mihalik, 2013, Knowledge, attitude, and concussion-reporting behaviors among high school athletes: a preliminary study, J Athl Train, 48, 645, 10.4085/1062-6050-48.3.20
Iverson, 2015, Factors associated with concussion-like symptom reporting in high school athletes, JAMA Pediatr, 169, 1132, 10.1001/jamapediatrics.2015.2374
Giza, 2001, The neurometabolic cascade of concussion, J Athl Train, 36, 228
Giza, 2014, The new neurometabolic cascade of concussion, Neurosurgery, 75 Suppl 4, S24, 10.1227/NEU.0000000000000505
Post, 2012, Mechanisms of brain impact injuries and their prediction: a review, Trauma, 14, 327, 10.1177/1460408612446573
Kwako, 2011, Traumatic brain injury in intimate partner violence: a critical review of outcomes and mechanisms, Trauma Violence Abuse, 12, 115, 10.1177/1524838011404251
Tarkenton, 2020, Differences in adolescent symptom reporting following motor vehicle accident versus sport-related concussion, Arch Clin Neuropsychol, 36, 554, 10.1093/arclin/acaa086
Iadecola, 2017, The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease, Neuron, 96, 17, 10.1016/j.neuron.2017.07.030
Mayr, 2014, Executive dysfunction assessed with a task-switching task following concussion, PLoS One, 9, e91379, 10.1371/journal.pone.0091379
Hillary, 2017, Injured brains and adaptive networks: the benefits and costs of hyperconnectivity, Trends Cogn Sci, 21, 385, 10.1016/j.tics.2017.03.003
Iraji, 2016, Compensation through functional hyperconnectivity: a Longitudinal connectome assessment of mild traumatic brain injury, Neural Plast, 2016, 10.1155/2016/4072402
Hylin, 2017, Understanding the mechanisms of recovery and/or compensation following injury, Neural Plast, 2017, 10.1155/2017/7125057
Blakemore, 2010, The role of puberty in the developing adolescent brain, Hum Brain Mapp, 31, 926, 10.1002/hbm.21052
Chavarro, 2017, Validity of self-assessed sexual maturation against physician assessments and hormone levels, J Pediatr, 186, 172, 10.1016/j.jpeds.2017.03.050
Harney, 2013, How to measure maturation: a comparison of probabilistic methods used to test for genotypic variation and plasticity in the decision to mature, Evolution, 67, 525, 10.1111/j.1558-5646.2012.01758.x
Kozieł, 2018, Modified maturity offset prediction equations: validation in independent longitudinal samples of boys and Girls, Sports Med, 48, 221, 10.1007/s40279-017-0750-y
Halsey, 2019, The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum?, Biol Lett, 15, 10.1098/rsbl.2019.0174
Panagiotakos, 2008, Value of p-value in biomedical research, Open Cardiovasc Med J, 2, 97, 10.2174/1874192400802010097
Nahm, 2017, What the P values really tell us, Korean J Pain, 30, 241, 10.3344/kjp.2017.30.4.241
Dunson, 2001, Commentary: practical advantages of bayesian analysis of epidemiologic data, Am J Epidemiol, 153, 1222, 10.1093/aje/153.12.1222