Modelos de percepção do tempo: um novo paradigma para o fisioterapeuta
DOI:
https://doi.org/10.33233/fb.v17i2.204Abstract
A percepção do tempo é subjetiva e relativa, além de modulada por aspectos neurofuncionais como a emoção, memória e atenção, e está alterada em algumas patologias neuropsiquiátricas. Entretanto, ainda existe muita discussão sobre quais modelos de percepção do tempo são mais aceitáveis e como estão envolvidos nas doenças neurológicas. Desse modo, o conhecimento do fisioterapeuta sobre a percepção do tempo e seus modelos é um fator que pode direcionar ao tratamento do paciente, pois há uma ativação de áreas corticais na percepção do tempo que também são envolvidas na motricidade. Um modelo geral de processamento de informação temporal deve comportar um oscilador, acumulador e comparador dos dados obtidos com a memória. No entanto, as bases neurofisiológicas dos mecanismos de percepção do tempo ainda não são totalmente determinadas, existindo modelos que apontam a existência de um mecanismo neural único ou a de vários dispositivos especializados em diferentes escalas. Embora as mudanças na percepção do tempo não caracterizem uma doença, diversos comprometimentos neurológicos podem acometer a percepção temporal. Apesar dos esforços não se pode concluir sobre quais áreas desempenham a função temporizadora, apenas inferir por meio de experimentos realizados em animais e humanos.
Palavras-chave: percepção do tempo, doença de Parkinson, neuroanatomia, neurofisiologia.
References
Thönes S, Oberfeld D. Time perception in depression: A meta-analysis. J Affect Disord 2015;1;175C:359-372.
Gupta DS. Processing of sub- and supra-second intervals in the primate brain results from the calibration of neuronal oscillators via sensory, motor, and feedback processes. Front Psychol 2014;1;5:816.
Block RA, Gruber RP. Time perception, attention, and memory: a selective review. Acta Psychol (Amst) 2014;149:129-33.
Maes PJ, Leman M, Palmer C, Wanderley MM. Action-based effects on music perception. Front Psychol 2014;3;4:1008.
Church RM, Broadbent HA. Alternative representations of time, number, and rate. Cognition 1990;37(1-2):55-81.
Berry AS Li X, Lin Z, Lustig C. Shared and distinct factors driving attention and temporal processing across modalities. Acta Psychologica 2014;147:42-50.
Penney TB, Gibbon J, Meck WH. Differential effects of auditory and visual signals on clock speed and temporal memory. J Exp Psychol Hum Percept Perform 2000;26(6):1770-87.
Allman MJ, Meck WH. Pathophysiological distortions in time perception and timed performance. Brain 2012;135(Pt 3):656-77.
Meck WH, Vatakis A, van Rijn H. Timing & Time Perception Reviews: Opening the door to theoretical discussions of consciousness, decision-making, multisensory processing, time cells and memory mapping … to name but a few issues of relevance to temporal cognition. Timing & Time Perception Reviews. 2014;1(1):1-4.
Droit-Volet S, Fanget M, Dambrun M. Mindfulness meditation and relaxation training increases time sensitivity. Conscious Cogn 2015;31:86-97.
Ivry RB, Spencer RM. The neural representation of time. Curr Opin Neurobiol 2004;14(2):225-32.
Grondin S. Timing and time perception: a review of recent behavioral and neuroscience findings and theoretical directions. Atten Percept Psychophys 2010;72(3):561-82.
French RM, Addyman C, Mareschal D, Thomas E. Unifying prospective and retrospective interval-time estimation: A fading-Gaussian activation-based model of interval-timing. Procedia - Social and Behavioral Sciences 2014;126;141-50.
Gu BM, van Rijn H, Meck WH. Oscillatory multiplexing of neural population codes for interval timing and working memory. Neurosci Biobehav Rev 2015;48:160-85.
Balci F, Simen P. Decision processes in temporal discrimination. Acta Psychol 2014;149:157-68.
Addyman C, Mareschal Denis. GAMIT-Net: retrospective and prospective interval timing in a single neural network. In: Bello P, Guarini M, McShane M, Scassellati B, eds. Proceedings of the 36th Annual Conference of the Cognitive Science Society. The Cognitive Science Society 2014:98-103.
Kornbrot DE, Msetfi RM, Grimwood MJ. Time perception and depressive realism: judgment type, psychophysical functions and bias. PLoS One 2013;21;8(8):e71585.
Effron DA, Niedenthal PM, Gil S, Droit-Volet S. Embodied temporal perception of emotion. Emotion 2006;6(1):1-9.
Kaneko S, Murakami I. Perceived duration of visual motion increases with speed. J Vis 2009;22;9(7):14.
Jozefowiez J, Polack CW, Machado A, Miller RR. Trial frequency effects in human temporal bisection: implications for theories of timing. Behav Processes 2014;101:81-88.
Teixeira S, Machado S, Paes F, Velasques B, Silva JG, Sanfim AL, Minc D. Time perception distortion in neuropsychiatric and neurological disorders. CNS Neurol Disord Drug Targets 2013;12(5):567-82.
Goel A, Buonomano DV. Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments. Philos Trans R Soc Lond B Biol Sci 2014;20;369(1637).
Maniadakis M, Trahanias P. Time models and cognitive processes: a review. Front Neurorobot 2014;27;8:7.
Buonomano DV, Maass W. State-dependent computations: spatiotemporal processing in cortical networks. Nat Rev Neurosci 2009;10(2):113-25.
van Rijn H, Gu BM, Meck WH. Dedicated clock/timing-circuit theories of time perception and timed performance. Adv Exp Med Biol 2014;829:75-99.
Buhusi CV, Oprisan SA. Time-scale invariance as an emergent property in a perceptron with realistic, noisy neurons. Behav Processes 2013;95:60-70.
Block RA, Hancock PA, Zakay D. How cognitive load affects duration judgments: A meta-analytic review. Acta Psychol (Amst) 2010;134(3):330-43.
Buhusi CV, Meck WH. What makes us tick? Functional and neural mechanisms of interval timing. Nat Rev Neurosci 2005;6(10):755-65.
Santos L, Opris I, Hampson R, Godwin DW, Gerhardt G, Deadwyler S. Functional dynamics of primate cortico-striatal networks during volitional movements. Front Syst Neurosci 2014;27(8):00027.
Parker KL, Lamichhane D, Caetano MS, Narayanan NS. Executive dysfunction in Parkinson’s disease and timing deficits. Front Integr Neurosci 2013;7:75.
Fortuna M, Teixeira S, Machado S, Velasques B, Bittencourt J, Peressutti C, Budde H. Cortical reorganization after hand immobilization: the beta qEEG spectral coherence evidences. PLoS One 2013;22;8:11.
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