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    المؤلفون: Ríos, Diego, Ávila, Guillermo

    المصدر: Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023 ; Progress in Landslide Research and Technology ; page 331-345 ; ISSN 2731-3794 2731-3808 ; ISBN 9783031390111 9783031390128

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    وصف الملف: 13 páginas; application/pdf

    Relation: 40; 28; 151; Clinical Neurophysiology; Al-Qazzaz NK, Ali SHBM, Ahmad SA, Chellappan K, Islam MS, Escudero J. Role of EEG as Biomarker in the Early Detection and Classification of Dementia. Sci World J 2014. https://doi.org/10.1155/2014/906038.; Amalric M, Pattij T, Sotiropoulos I, Silva JM, Sousa N, Ztaou S, et al. Where Dopaminergic and Cholinergic Systems Interact: A Gateway for Tuning Neurodegenerative Disorders. Front Behav Neurosci 2021;15:147. https://doi.org/10.3389/FNBEH.2021.661973/BIBTEX.; Anjum MF, Dasgupta S, Mudumbai R, Singh A, Cavanagh JF, Narayanan NS. Linear predictive coding distinguishes spectral EEG features of Parkinson’s disease. Parkinsonism Relat Disord 2020;79:79–85. https://doi.org/10.1016/J. PARKRELDIS.2020.08.001.; Appelhoff S, Hurst AJ, Lawrence A, Li A, Mantilla Ramos YJ, O’Reilly C, et al. PyPREP: A Python implementation of the preprocessing pipeline (PREP) for EEG data. 2022. https://doi.org/10.5281/ZENODO.6363576.; Arnaldi D, De Carli F, Famà F, Brugnolo A, Girtler N, Picco A, et al. Prediction of cognitive worsening in de novo Parkinson’s disease: Clinical use of biomarkers. Mov Disord 2017;32:1738–47. https://doi.org/10.1002/mds.27190.; Babiloni C, Barry RJ, Bas ar E, Blinowska KJ, Cichocki A, Drinkenburg WHIM, et al. International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies. Clin Neurophysiol 2020:285–307. https://doi.org/10.1016/j.clinph.2019.06.234.; Babiloni C, Blinowska K, Bonanni L, Cichocki A, De Haan W, Del Percio C, et al. What electrophysiology tells us about Alzheimer’s disease: a window into the synchronisation and connectivity of brain neurons. Neurobiol Aging 2020b;85:58–73. https://doi.org/10.1016/j.neurobiolaging.2019.09.008.; Barzegaran E, Vildavski VY, Knyazeva MG. Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior. Sci Reports 2017;2017(71):7. https://doi.org/10.1038/s41598-017- 08421-z.; Beer JC, Tustison NJ, Cook PA, Davatzikos C, Sheline YI, Shinohara RT, et al. Longitudinal ComBat: A method for harmonising longitudinal multi-scanner imaging data. Neuroimage 2020;220. https://doi.org/10.1016/J. NEUROIMAGE.2020.117129 117129.; Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. J R Stat Soc Ser B 1995;57:289–300.; Bigdely-Shamlo N, Mullen T, Kothe C, Su K-M, Robbins KA. The PREP pipeline: standardised preprocessing for large-scale EEG analysis. Front Neuroinform 2015:9. https://doi.org/10.3389/fninf.2015.00016.; Bigdely-Shamlo N, Touryan J, Ojeda A, Kothe C, Mullen T, Robbins K. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. Neuroimage 2020;207. https://doi.org/10.1016/j.neuroimage.2019.116361 116361.; Bonanni L, Franciotti R, Nobili F, Kramberger MG, Taylor J-P, Garcia-Ptacek S, et al. EEG Markers of Dementia with Lewy Bodies: A Multicenter Cohort Study. J Alzheimer’s Dis 2016;54:1649–57. https://doi.org/10.3233/JAD-160435.; Bonanni L, Perfetti B, Bifolchetti S, Taylor J-P, Franciotti R, Parnetti L, et al. Quantitative electroencephalogram utility in predicting conversion of mild cognitive impairment to dementia with Lewy bodies. Neurobiol Aging 2015;36:434. https://doi.org/10.1016/J.NEUROBIOLAGING.2014.07.009.; Bonanni L, Thomas A, Tiraboschi P, Perfetti B, Varanese S, Onofrj M. EEG comparisons in early Alzheimer’s disease, dementia with Lewy bodies and Parkinson’s disease with dementia patients with a 2-year follow-up. Brain 2008;131:690–705. https://doi.org/10.1093/brain/awm322.; Carmona Arroyave JA, Tobón Quintero CA, Suárez Revelo JJ, Ochoa Gómez JF, García YB, Gómez LM, et al. Resting functional connectivity and mild cognitive impairment in Parkinson’s disease. An electroencephalogram study. Future Neurol 2019;14:FNL18. https://doi.org/10.2217/fnl-2018-0048.; Carrarini C, Calisi D, De Rosa MA, Di Iorio A, D’Ardes D, Pellegrino R, et al. QEEG abnormalities in cognitively unimpaired patients with delirium. J Neurol Neurosurg Psychiatry 2023:94. https://doi.org/10.1136/JNNP-2022-330010.; Castellanos NP, Makarov VA. Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis. J Neurosci Methods 2006;158:300–12. https://doi.org/10.1016/j.jneumeth.2006.05.033.; Coffey N, Hinde J. Analysing time-course microarray data using functional data analysis - A review. Stat Appl Genet Mol Biol 2011:10. https://doi.org/10.2202/ 1544-6115.1671/MACHINEREADABLECITATION/RIS.; Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, et al. Parameterising neural power spectra into periodic and aperiodic components. Nat Neurosci 2020 2312 2020;23:1655–65. https://doi.org/10.1038/s41593-020-00744-x.; Eubank RL. Nonparametric Regression and Spline Smoothing. Second Edition. Taylor & Francis; 1999. Folstein MF, Folstein SE, McHugh PR. ‘‘Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–98. https://doi.org/10.1016/0022-3956(75)90026-6.; Franciotti R, Pilotto A, Moretti DV, Falasca NW, Arnaldi D, Taylor J-P, et al. Anterior EEG slowing in dementia with Lewy bodies: a multicenter European cohort study. Neurobiol Aging 2020;93:55–60. https://doi.org/10.1016/j. neurobiolaging.2020.04.023.; Garcés P, Vicente R, Wibral M, Pineda-Pardo J ángel, López ME, Aurtenetxe S, et al. Brain-wide slowing of spontaneous alpha rhythms in mild cognitive impairment. Front Aging Neurosci 2013;5:100. https://doi.org/10.3389/ FNAGI.2013.00100/BIBTEX.; George JS, Strunk J, Mak-Mccully R, Houser M, Poizner H, Aron AR. Dopaminergic therapy in Parkinson’s disease decreases cortical beta band coherence in the resting state and increases cortical beta band power during executive control. Neuroimage (Amst) 2013;3:261. https://doi.org/10.1016/J.NICL.2013.07.013.; Gibb WRG, Lees AJ. The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson’s disease. J Neurol Neurosurg Psychiatry 1988;51:745–52. https://doi.org/10.1136/JNNP.51.6.745.; Goetz CC. The Unified Parkinson’s Disease Rating Scale (UPDRS): Status and recommendations. Mov Disord 2003;18:738–50. https://doi.org/10.1002/ mds.10473.; Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, et al. MEG and EEG data analysis with MNE-Python. Front Neurosci 2013:267. https://doi. org/10.3389/FNINS.2013.00267/BIBTEX.; Jackson N, Cole SR, Voytek B, Swann NC. Characteristics of Waveform Shape in Parkinson’s Disease Detected with Scalp Electroencephalography. ENeuro 2019:6. https://doi.org/10.1523/ENEURO.0151-19.2019.; Jaramillo-Jimenez A, Suarez-Revelo JX, Ochoa-Gomez JF, Carmona Arroyave JA, Bocanegra Y, Lopera F, et al. Resting-state EEG alpha/theta ratio related to neuropsychological test performance in Parkinson’s Disease. Clin Neurophysiol 2021;132:756–64. https://doi.org/10.1016/j.clinph.2021.01.001.; Jennings JL, Peraza LR, Baker M, Alter K, Taylor J-P, Bauer R. Investigating the power of eyes open resting state EEG for assisting in dementia diagnosis. Alzheimer’s Res Ther 2022;2022(141):14. https://doi.org/10.1186/S13195-022-01046-Z.; Kehagia AA, Barker RA, Robbins TW. Cognitive impairment in Parkinson’s disease: The dual syndrome hypothesis. Neurodegener Dis 2012;11:79–92. https://doi. org/10.1159/000341998.; Kimchi EY, Neelagiri A, Whitt W, Sagi AR, Ryan SL, Gadbois G, et al. Clinical EEG slowing correlates with delirium severity and predicts poor clinical outcomes. Neurology 2019;93:e1260.; Law ZK, Todd C, Mehraram R, Schumacher J, Baker MR, LeBeau FEN, et al. The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review. Diagnostics 2020;10:616. https://doi.org/10.3390/DIAGNOSTICS10090616.; Li M, Wang Y, Lopez-Naranjo C, Hu S, Reyes RCG, Paz-Linares D, et al. Harmonized- Multinational qEEG norms (HarMNqEEG). Neuroimage 2022;256. https://doi. org/10.1016/J.NEUROIMAGE.2022.119190 119190.; Litvan I, Goldman JG, Tröster AI, Schmand BA, Weintraub D, Petersen RC, et al. Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov Disord 2012;27:349–56. https://doi.org/10.1002/mds.24893.; Llinás RR, Ribary U, Jeanmonod D, Kronberg E, Mitra PP. Thalamocortical dysrhythmia: A neurological and neuropsychiatric syndrome characterised by magnetoencephalography. Proc Natl Acad Sci U S A 1999;96:15222–7. https:// doi.org/10.1073/pnas.96.26.15222.; Lopes da Silva F. Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalogr Clin Neurophysiol 1991;79:81–93. https://doi.org/10.1016/0013-4694(91)90044-5.; Mari-Acevedo J, Yelvington K, Tatum WO. Normal EEG variants. Handb Clin Neurol 2019;160:143–60. https://doi.org/10.1016/B978-0-444-64032-1.00009-6.; Massa F, Meli R, Grazzini M, Famà F, De Carli F, Filippi L, et al. Utility of quantitative EEG in early Lewy body disease. Park Relat Disord 2020;75:70–5. https://doi. org/10.1016/j.parkreldis.2020.05.007.; Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53:695–9. https://doi.org/ 10.1111/j.1532-5415.2005.53221.x.; Ou Z, Pan J, Tang S, Duan D, Yu D, Nong H, et al. Global Trends in the Incidence, Prevalence, and Years Lived With Disability of Parkinson’s Disease in 204 Countries/Territories From 1990 to 2019. Front Public Heal 2021;9. https://doi. org/10.3389/FPUBH.2021.776847/FULL 776847.; https://hdl.handle.net/10614/15852; https://doi.org/10.1016/j.clinph.2023.03.363; Universidad Autónoma de Occidente; Respositorio Educativo Digital UAO; https://red.uao.edu.co/