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Little fast, little slow, should I stay or should I go? Adapting cognitive control to local-global temporal prediction across typical development. PLoS One 2023; 18:e0281417. [PMID: 36827315 PMCID: PMC9955637 DOI: 10.1371/journal.pone.0281417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/23/2023] [Indexed: 02/25/2023] Open
Abstract
Adaptive cognitive control (CC), the ability to adjust goal-directed behavior according to changing environmental demand, can be instantiated bottom-up by implicit knowledge, including temporal predictability of task-relevant events. In S1-S2 tasks, either local (trial-by-trial hazard expectation) or global (block-by-block expectation) temporal information can induce prediction, allowing for proactive action control. Recent developmental evidence showed that adaptive CC based on global temporal prediction emerges earlier than when it is based on the local one only. However, very little is known about how children learn to dynamically adjust behavior on the fly according to changing global predictive information. Addressing this issue is nevertheless crucial to unravel the mechanisms underlying adaptive CC flexibility. Here we used a modified version of the Dynamic Temporal Prediction task to investigate how typically developing younger (6-8 years) and older children (9-11 years), adolescents (12-15 years) and adults (21-31 years) use global prediction to shape adaptive CC over time. Specifically, the short-long percentage of S2 preparatory intervals was manipulated list-wide to create a slow-fast-slow-fast fixed block sequence and test how efficiently the response speed adapted accordingly. Overall, results revealed that in all groups behavioral performance is successfully adjusted as a function of global prediction in the late phase of the task (block 3 to 4). Remarkably, only adolescents and adults exhibit an early adaptation of adaptive CC (block 1 to 2), while children younger than 11 show sluggish ability in inferring implicit changes in global predictive rules. This age-related dissociation suggests that, although being present from an early age, adaptive CC based on global predictive information needs more developmental space to become flexible in an efficient way. In the light of a neuroconstructivist approach, we suggest that bottom-up driven implicit flexibility may represent a key prerequisite for the development of efficient explicit cognitive control.
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2
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Bromazepam increases the error of the time interval judgments and modulates the EEG alpha asymmetry during time estimation. Conscious Cogn 2022; 100:103317. [PMID: 35364385 DOI: 10.1016/j.concog.2022.103317] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 03/19/2022] [Accepted: 03/23/2022] [Indexed: 11/23/2022]
Abstract
AIM This study investigated the bromazepam effects in male subjects during the time estimation performance and EEG alpha asymmetry in electrodes associated with the frontal and motor cortex. MATERIAL AND METHODS This is a double-blind, crossover study with a sample of 32 healthy adults under control (placebo) vs. experimental (bromazepam) during visual time-estimation task in combination with electroencephalographic analysis. RESULTS The results demonstrated that the bromazepam increased the relative error in the 4 s, 7 s, and 9 s intervals (p = 0.001). In addition, oral bromazepam modulated the EEG alpha asymmetry in cortical areas during the time judgment (p ≤ 0.025). CONCLUSION The bromazepam decreases the precision of time estimation judgments and modulates the EEG alpha asymmetry, with greater left hemispheric dominance during time perception. Our findings suggest that bromazepam influences internal clock synchronization via the modulation of GABAergic receptors, strongly relating to attention, conscious perception, and behavioral performance.
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3
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Szelag E, Stanczyk M, Szymaszek A. Sub- and Supra-Second Timing in Auditory Perception: Evidence for Cross-Domain Relationships. Front Neurosci 2022; 15:812533. [PMID: 35095407 PMCID: PMC8791025 DOI: 10.3389/fnins.2021.812533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/13/2021] [Indexed: 11/21/2022] Open
Abstract
Previous studies indicate that there are at least two levels of temporal processing: the sub- and supra-second domains. The relationship between these domains remains unclear. The aim of this study was to test whether performance on the sub-second level is related to that on the supra-second one, or whether these two domains operate independently. Participants were 118 healthy adults (mean age = 23 years). The sub-second level was studied with a temporal-order judgment task and indexed by the Temporal Order Threshold (TOT), on which lower values corresponded to better performance. On the basis of TOT results, the initial sample was classified into two groups characterized by either higher temporal efficiency (HTE) or lower temporal efficiency (LTE). Next, the efficiency of performance on the supra-second level was studied in these two groups using the subjective accentuation task, in which participants listened to monotonous sequences of beats and were asked to mentally accentuate every n-th beat to create individual rhythmic patterns. The extent of temporal integration was assessed on the basis of the number of beats being united and better performance corresponded to longer units. The novel results are differences between groups in this temporal integration. The HTE group integrated beats in significantly longer units than did the LTE group. Moreover, for tasks with higher mental load, the HTE group relied more on a constant time strategy, whereas the LTE group relied more on mental counting, probably because of less efficient temporal integration. These findings provide insight into associations between sub- and supra-second levels of processing and point to a common time keeping system, which is active independently of temporal domain.
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Sanjram PK, Shivhare YK. Emergence of Frequency-Dependent Motor Variability Within Supra-Second Auditory Cueing. Percept Mot Skills 2021; 128:2805-2819. [PMID: 34404293 DOI: 10.1177/00315125211040748] [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: 11/17/2022]
Abstract
Motor variability (MV) is an essential feature of the sensory motor system, and it plays an important role in sensory-motor learning. MV facilitates motor adaptation during auditory-motor synchronization (AMS). In AMS, individuals receive a series of similar auditory stimuli that come in a periodic manner at a fixed interval called an inter-stimulus interval (ISI). Peri-second ISI (1 second range) and supra-second ISI (>1 second) are differently processed, since these intervals involve different amount of cognitive resources. Supra-second ISI involves more top-down attention as compared to peri-second ISI. In this study we examined the effect of tone frequency (perceptual property of auditory stimuli) on predictive tapping and MV under peri-second and supra-second ranges. We examined the effect of tone frequency (a perceptual property of auditory stimuli) on predictive tapping and motor variability (MV) under short (peri-second) and long (supra-second) inter-stimulus intervals. Among 30 healthy participants (aged 18-35 years, M = 24.6 years), we randomly assigned equal numbers of these two inter-stimulus conditions to isochronous sound sequences. In their attempt to synchronize their motor responses with the tone, participants reproduced the ISI in their inter-tap intervals (ITIs). We analyzed their predictive tapping in terms of negative asynchrony (in which the tap occurs before the tone) and small positive asynchrony (0-100 ms), whereas we analyzed MV using the coefficient of variation (CV) of the ITI. We found that participants showed predictive tapping under short ISI, irrespective of the tone frequency. Moreover, their MV was unaffected by tone frequency. These findings imply that participants expressed MV in a predictive rather than reactive manner under short, but not long, ISI. Under long ISI, tone frequency had a significant effect on MV such that there was higher MV with the low-frequency than with the high-frequency tone. Thus, low-frequency tones are most suitable for auditory-motor learning in the supra-second range.
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Affiliation(s)
- Premjit Khanganba Sanjram
- Department of Biosciences and Biomedical Engineering, 226957Indian Institute of Technology Indore, Indore, India.,Discipline of Psychology, Indian Institute of Technology Indore, India.,Center for Electric Vehicles and Intelligent Transport Systems, Indian Institute of Technology Indore, India.,Centre of Futuristic Defense and Space Technologies, Indian Institute of Technology Indore, India.,Human Factors & Applied Cognition Lab, Indian Institute of Technology Indore, India
| | - Yogesh Kumar Shivhare
- Human Factors & Applied Cognition Lab, Department of Biosciences and Biomedical Engineering, 226957Indian Institute of Technology Indore, India
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Martins E Silva DC, Marinho V, Teixeira S, Teles G, Marques J, Escórcio A, Fernandes T, Freitas AC, Nunes M, Ayres M, Ayres C, Marques JB, Cagy M, Gupta DS, Bastos VH. Non-immersive 3D virtual stimulus alter the time production task performance and increase the EEG theta power in dorsolateral prefrontal cortex. Int J Neurosci 2020; 132:563-573. [PMID: 32962509 DOI: 10.1080/00207454.2020.1826945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AIM The study investigated the cortical activity changes and time production task performance induced by changes in motion speed of a non-immersive 3D virtual stimulus. MATERIAL AND METHODS Twenty-one individuals were participated in the crossover study with the visual-time reproduction task under three-speed conditions: original, slow and fast virtual stimulus. In addition, the electroencephalographic analysis of the theta band power in the dorsolateral prefrontal cortex was done simultaneously with time production task execution. RESULTS The results demonstrated that in the slow speed condition, there is an increase in the error in the time production task after virtual reality (p < 0.05). There is also increased EEG theta power in the right dorsolateral prefrontal cortex in all speed conditions (p < 0.05). CONCLUSIONS We propose that the modulations of speed of virtual stimulus may underlie the accumulation of temporal pulses, which could be responsible for changes in the performance of the production task of the time intervals and a substantial increase in right dorsolateral prefrontal cortex activity related to attention and memory, acting in cognitive domains of supraseconds.
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Affiliation(s)
| | - Victor Marinho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Silmar Teixeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Gabriela Teles
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - João Marques
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - Anderson Escórcio
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - Thayaná Fernandes
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - Ana Cláudia Freitas
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - Monara Nunes
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Marcos Ayres
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Carla Ayres
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil
| | - Juliana Bittencourt Marques
- Laboratory of Neurophysiology and Neuropsychology of Attention, Veiga de Almeida University, Cabo Frio, Brazil
| | - Maurício Cagy
- Masters and PhD Program in Biomedical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daya S Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Victor Hugo Bastos
- Brain Mapping and Functionality, Laboratory, Federal University of Delta do Parnaíba, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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6
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Gupta DS, Banerjee A, Roy D, Piras F. Editorial: Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain. Front Comput Neurosci 2020; 14:73. [PMID: 33041775 PMCID: PMC7522307 DOI: 10.3389/fncom.2020.00073] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 07/08/2020] [Indexed: 11/17/2022] Open
Affiliation(s)
| | - Arpan Banerjee
- Cognitive Brain Dynamics Lab, National Brain Research Center, Gurugram, India
| | - Dipanjan Roy
- Cognitive Brain Dynamics Lab, National Brain Research Center, Gurugram, India
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
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7
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Liang Q, Zeng Y, Xu B. Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory. Front Comput Neurosci 2020; 14:51. [PMID: 32714173 PMCID: PMC7343962 DOI: 10.3389/fncom.2020.00051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 05/11/2020] [Indexed: 11/13/2022] Open
Abstract
Sequence learning is a fundamental cognitive function of the brain. However, the ways in which sequential information is represented and memorized are not dealt with satisfactorily by existing models. To overcome this deficiency, this paper introduces a spiking neural network based on psychological and neurobiological findings at multiple scales. Compared with existing methods, our model has four novel features: (1) It contains several collaborative subnetworks similar to those in brain regions with different cognitive functions. The individual building blocks of the simulated areas are neural functional minicolumns composed of biologically plausible neurons. Both excitatory and inhibitory connections between neurons are modulated dynamically using a spike-timing-dependent plasticity learning rule. (2) Inspired by the mechanisms of the brain's cortical-striatal loop, a dependent timing module is constructed to encode temporal information, which is essential in sequence learning but has not been processed well by traditional algorithms. (3) Goal-based and episodic retrievals can be achieved at different time scales. (4) Musical memory is used as an application to validate the model. Experiments show that the model can store a huge amount of data on melodies and recall them with high accuracy. In addition, it can remember the entirety of a melody given only an episode or the melody played at different paces.
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Affiliation(s)
- Qian Liang
- Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zeng
- Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Bo Xu
- Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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8
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Increase in Mutual Information During Interaction with the Environment Contributes to Perception. ENTROPY 2019; 21:e21040365. [PMID: 33267079 PMCID: PMC7514849 DOI: 10.3390/e21040365] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 03/22/2019] [Accepted: 04/02/2019] [Indexed: 02/04/2023]
Abstract
Perception and motor interaction with physical surroundings can be analyzed by the changes in probability laws governing two possible outcomes of neuronal activity, namely the presence or absence of spikes (binary states). Perception and motor interaction with the physical environment are partly accounted for by a reduction in entropy within the probability distributions of binary states of neurons in distributed neural circuits, given the knowledge about the characteristics of stimuli in physical surroundings. This reduction in the total entropy of multiple pairs of circuits in networks, by an amount equal to the increase of mutual information, occurs as sensory information is processed successively from lower to higher cortical areas or between different areas at the same hierarchical level, but belonging to different networks. The increase in mutual information is partly accounted for by temporal coupling as well as synaptic connections as proposed by Bahmer and Gupta (Front. Neurosci. 2018). We propose that robust increases in mutual information, measuring the association between the characteristics of sensory inputs' and neural circuits' connectivity patterns, are partly responsible for perception and successful motor interactions with physical surroundings. The increase in mutual information, given the knowledge about environmental sensory stimuli and the type of motor response produced, is responsible for the coupling between action and perception. In addition, the processing of sensory inputs within neural circuits, with no prior knowledge of the occurrence of a sensory stimulus, increases Shannon information. Consequently, the increase in surprise serves to increase the evidence of the sensory model of physical surroundings.
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9
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Marinho V, Pinto GR, Bandeira J, Oliveira T, Carvalho V, Rocha K, Magalhães F, de Sousa VG, Bastos VH, Gupta D, Orsini M, Teixeira S. Impaired decision-making and time perception in individuals with stroke: Behavioral and neural correlates. Rev Neurol (Paris) 2019; 175:367-376. [PMID: 30922589 DOI: 10.1016/j.neurol.2018.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 10/09/2018] [Accepted: 10/09/2018] [Indexed: 01/03/2023]
Abstract
Several studies have demonstrated that stroke subjects present impairment of functions related to decision-making and timing, involving the information processing in the neural circuits of the cerebellum in association with the prefrontal cortex. This review is aimed to identify the gaps, and demonstrate a better understanding of decision-making and timing functions in the patients with stroke. Electronic literature database was searched and the findings of relevant studies were used to explore the mechanisms of decision-making and timing in patients with stroke, as well as the circuit connections in timing mediated by prefrontal cortex and cerebellum. A literature review was conducted with 65 studies that synthesized findings on decision-making and time perception in individuals with stroke. Types of neurobiological modalities in this study included: Relationships among decision-making, time perception, related cognitive aspects (such as discrimination tasks, verbal estimation, bisection tasks, time production and motor reproduction), and motor control. We demonstrate that the timing processes are important for the performance in cognitive tasks and that the cerebellum and prefrontal cortex are involved in decision-making and time perception. In the context, the decision-making is impaired in stroke patients has a great impact on executive functions, and this seems to be important in determining neurobiological aspects relevant to the time interval interpretation.
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Affiliation(s)
- V Marinho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba-PI, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil.
| | - G R Pinto
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba-PI, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
| | - J Bandeira
- Teresina Unified Education Center - CEUT, Teresina-PI, Brazil
| | - T Oliveira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba-PI, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
| | - V Carvalho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
| | - K Rocha
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
| | - F Magalhães
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
| | - V G de Sousa
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba-PI, Brazil
| | - V H Bastos
- The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil; Brain Mapping and Functionality Laboratory, Federal University of Piauí, Parnaíba-PI, Brazil
| | - D Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - M Orsini
- Master's Program in Local Development Program, University Center Augusto Motta - UNISUAM, Rio de Janeiro, Brazil
| | - S Teixeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Parnaíba, Brazil; The Northeast Biotechnology Network, Federal University of Piauí, Teresina-PI, Brazil
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10
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Manaia F, Rocha K, Marinho V, Magalhães F, Oliveira T, Carvalho V, Araújo T, Ayres C, Gupta D, Velasques B, Ribeiro P, Cagy M, Bastos VH, Teixeira S. The role of low-frequency rTMS in the superior parietal cortex during time estimation. Neurol Sci 2019; 40:1183-1189. [DOI: 10.1007/s10072-019-03820-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 02/28/2019] [Indexed: 10/27/2022]
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11
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Ravignani A, Thompson B, Lumaca M, Grube M. Why Do Durations in Musical Rhythms Conform to Small Integer Ratios? Front Comput Neurosci 2018; 12:86. [PMID: 30555314 PMCID: PMC6282044 DOI: 10.3389/fncom.2018.00086] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 10/01/2018] [Indexed: 01/29/2023] Open
Abstract
One curious aspect of human timing is the organization of rhythmic patterns in small integer ratios. Behavioral and neural research has shown that adjacent time intervals in rhythms tend to be perceived and reproduced as approximate fractions of small numbers (e.g., 3/2). Recent work on iterated learning and reproduction further supports this: given a randomly timed drum pattern to reproduce, participants subconsciously transform it toward small integer ratios. The mechanisms accounting for this “attractor” phenomenon are little understood, but might be explained by combining two theoretical frameworks from psychophysics. The scalar expectancy theory describes time interval perception and reproduction in terms of Weber's law: just detectable durational differences equal a constant fraction of the reference duration. The notion of categorical perception emphasizes the tendency to perceive time intervals in categories, i.e., “short” vs. “long.” In this piece, we put forward the hypothesis that the integer-ratio bias in rhythm perception and production might arise from the interaction of the scalar property of timing with the categorical perception of time intervals, and that neurally it can plausibly be related to oscillatory activity. We support our integrative approach with mathematical derivations to formalize assumptions and provide testable predictions. We present equations to calculate durational ratios by: (i) parameterizing the relationship between durational categories, (ii) assuming a scalar timing constant, and (iii) specifying one (of K) category of ratios. Our derivations provide the basis for future computational, behavioral, and neurophysiological work to test our model.
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Affiliation(s)
- Andrea Ravignani
- Language and Cognition Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.,Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium.,Research Department, Sealcentre Pieterburen, Pieterburen, Netherlands
| | - Bill Thompson
- Language and Cognition Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.,Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium
| | - Massimo Lumaca
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Aarhus, Denmark
| | - Manon Grube
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Aarhus, Denmark
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12
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The BDNF Val66Met Polymorphism Promotes Changes in the Neuronal Integrity and Alters the Time Perception. J Mol Neurosci 2018; 67:82-88. [DOI: 10.1007/s12031-018-1212-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 11/11/2018] [Indexed: 10/27/2022]
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13
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Bahmer A, Gupta DS. Role of Oscillations in Auditory Temporal Processing: A General Model for Temporal Processing of Sensory Information in the Brain? Front Neurosci 2018; 12:793. [PMID: 30429770 PMCID: PMC6220050 DOI: 10.3389/fnins.2018.00793] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 10/12/2018] [Indexed: 11/13/2022] Open
Abstract
We review the role of oscillations in the brain and in the auditory system showing that the ability of humans to distinguish changes in pitch can be explained as a precise analysis of temporal information in auditory signals by neural oscillations. The connections between auditory brain stem chopper neurons construct neural oscillators, which discharge spikes at various constant intervals that are integer multiples of 0.4 ms, contributing to the temporal processing of auditory cochlear output. This is subsequently spatially mapped in the inferior colliculus. Electrophysiological measurements of auditory chopper neurons in different species show oscillations with periods which are integer multiples of 0.4 ms. The constant intervals of 0.4 ms can be attributed to the smallest synaptic delay between interconnected simulated chopper neurons. We also note the patterns of similarities between microcircuits in the brain stem and other parts of the brain (e.g., the pallidum, reticular formation, locus coeruleus, oculomotor nuclei, limbic system, amygdala, hippocampus, basal ganglia and substantia nigra), dedicated to the processing of temporal information. Similarities in microcircuits across the brain reflect the importance of one of the key mechanisms in the information processing in the brain, namely the temporal coupling of different neural events via coincidence detection.
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Affiliation(s)
- Andreas Bahmer
- Comprehensive Hearing Center, ENT Clinic, University of Würzburg, Würzburg, Germany
| | - Daya Shankar Gupta
- Biology Department, Camden County College, Gloucester Township, NJ, United States
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14
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Marinho FVC, Pinto GR, Oliveira T, Gomes A, Lima V, Ferreira-Fernandes H, Rocha K, Magalhães F, Velasques B, Ribeiro P, Cagy M, Gupta D, Bastos VH, Teixeira S. The SLC6A3 3'-UTR VNTR and intron 8 VNTR polymorphisms association in the time estimation. Brain Struct Funct 2018; 224:253-262. [PMID: 30310975 DOI: 10.1007/s00429-018-1773-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 10/06/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVE The present study investigated the association of 3'-UTR VNTR and intron 8 VNTR polymorphisms with a time estimation task performance. MATERIALS AND METHODS One hundred and eight men in a Brazilian Northeast population (18-32 years old) participated in the experiment. The 3'-UTR VNTR and intron 8 VNTR polymorphisms were associated alone and combined to absolute error (AE) and relative error (RE) in a time estimation task (target duration: 1 s, 4 s, 7 s and 9 s). RESULTS We found an association of the behavioral variable with intron 8 VNTR for the time intervals of 1 s and 9 s (p < 0.001) and polymorphisms combinatorial effect for 1 s (p ≤ 0.05). CONCLUSION The intron 8 VNTR polymorphism and the combinatorial effect can modulate the time estimate in the domain of supra seconds, and thus our study indicates a role of the dopamine transporter in the neurobiological areas related to the time intervals judgment.
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Affiliation(s)
- Francisco Victor Costa Marinho
- Neuro-innovation Technology and Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião no. 2819, Nossa Sra. de Fátima, Parnaíba, PI, CEP: 64202-020, Brazil. .,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Giovanny R Pinto
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Thomaz Oliveira
- Neuro-innovation Technology and Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião no. 2819, Nossa Sra. de Fátima, Parnaíba, PI, CEP: 64202-020, Brazil.,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Anderson Gomes
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Valéria Lima
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Hygor Ferreira-Fernandes
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Kaline Rocha
- Neuro-innovation Technology and Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião no. 2819, Nossa Sra. de Fátima, Parnaíba, PI, CEP: 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Francisco Magalhães
- Neuro-innovation Technology and Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião no. 2819, Nossa Sra. de Fátima, Parnaíba, PI, CEP: 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maurício Cagy
- Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Victor Hugo Bastos
- Brain Mapping and Functionality Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Silmar Teixeira
- Neuro-innovation Technology and Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião no. 2819, Nossa Sra. de Fátima, Parnaíba, PI, CEP: 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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15
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Marinho V, Oliveira T, Bandeira J, Pinto GR, Gomes A, Lima V, Magalhães F, Rocha K, Ayres C, Carvalho V, Velasques B, Ribeiro P, Orsini M, Bastos VH, Gupta D, Teixeira S. Genetic influence alters the brain synchronism in perception and timing. J Biomed Sci 2018; 25:61. [PMID: 30086746 PMCID: PMC6080374 DOI: 10.1186/s12929-018-0463-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 07/31/2018] [Indexed: 12/19/2022] Open
Abstract
Background Studies at the molecular level aim to integrate genetic and neurobiological data to provide an increasingly detailed understanding of phenotypes related to the ability in time perception. Main Text This study suggests that the polymorphisms genetic SLC6A4 5-HTTLPR, 5HTR2A T102C, DRD2/ANKK1-Taq1A, SLC6A3 3’-UTR VNTR, COMT Val158Met, CLOCK genes and GABRB2 A/C as modification factor at neurochemical levels associated with several neurofunctional aspects, modifying the circadian rhythm and built-in cognitive functions in the timing. We conducted a literature review with 102 studies that met inclusion criteria to synthesize findings on genetic polymorphisms and their influence on the timing. Conclusion The findings suggest an association of genetic polymorphisms on behavioral aspects related in timing. However, order to confirm the paradigm of association in the timing as a function of the molecular level, still need to be addressed future research.
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Affiliation(s)
- Victor Marinho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil. .,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Thomaz Oliveira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Juliete Bandeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Giovanny R Pinto
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Anderson Gomes
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Valéria Lima
- Genetics and Molecular Biology Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Francisco Magalhães
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Kaline Rocha
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Carla Ayres
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil
| | - Valécia Carvalho
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory Motor Integration Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marco Orsini
- Master's Program in Local Development Program, University Center Augusto Motta - UNISUAM, Rio de Janeiro, Brazil and Health Sciences Applied - Vassouras University, Rio de Janeiro, Brazil
| | - Victor Hugo Bastos
- Brain Mapping and Functionality Laboratory, Federal University of Piauí, Parnaíba, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Silmar Teixeira
- Neuro-innovation Technology & Brain Mapping Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819 - Nossa Sra. de Fátima -, Parnaíba, PI, CEP 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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16
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Gupta DS, Teixeira S. The Time-Budget Perspective of the Role of Time Dimension in Modular Network Dynamics during Functions of the Brain. Primates 2018. [DOI: 10.5772/intechopen.70588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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17
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Magalhães F, Rocha K, Marinho V, Ribeiro J, Oliveira T, Ayres C, Bento T, Leite F, Gupta D, Bastos VH, Velasques B, Ribeiro P, Orsini M, Teixeira S. Neurochemical changes in basal ganglia affect time perception in parkinsonians. J Biomed Sci 2018; 25:26. [PMID: 29554962 PMCID: PMC5858149 DOI: 10.1186/s12929-018-0428-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 03/08/2018] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Parkinson's disease is described as resulting from dopaminergic cells progressive degeneration, specifically in the substantia nigra pars compacta that influence the voluntary movements control, decision making and time perception. AIM This review had a goal to update the relation between time perception and Parkinson's Disease. METHODOLOGY We used the PRISMA methodology for this investigation built guided for subjects dopaminergic dysfunction in the time judgment, pharmacological models with levodopa and new studies on the time perception in Parkinson's Disease. We researched on databases Scielo, Pubmed / Medline and ISI Web of Knowledge on August 2017 and repeated in September 2017 and February 2018 using terms and associations relevant for obtaining articles in English about the aspects neurobiology incorporated in time perception. No publication status or restriction of publication date was imposed, but we used as exclusion criteria: dissertations, book reviews, conferences or editorial work. RESULTS/DISCUSSION We have demonstrated that the time cognitive processes are underlying to performance in cognitive tasks and that many are the brain areas and functions involved and the modulators in the time perception performance. CONCLUSIONS The influence of dopaminergic on Parkinson's Disease is an important research tool in Neuroscience while allowing for the search for clarifications regarding behavioral phenotypes of Parkinson's disease patients and to study the areas of the brain that are involved in the dopaminergic circuit and their integration with the time perception mechanisms.
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Affiliation(s)
- Francisco Magalhães
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Kaline Rocha
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Victor Marinho
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Jéssica Ribeiro
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Thomaz Oliveira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Carla Ayres
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Thalys Bento
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Francisca Leite
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Victor Hugo Bastos
- Laboratory of Brain Mapping and Functionality, Federal University of Piauí, Parnaíba, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Av. Venceslau Braz, 71 - Botafogo, Rio de Janeiro, RJ, 22290-140, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Av. Venceslau Braz, 71 - Botafogo, Rio de Janeiro, RJ, 22290-140, Brazil
| | - Marco Orsini
- Rehabilitation Science Program, Analysis of Human Movement Laboratory, Augusto Motta University Center, Rio de Janeiro, Brazil.,Program Professional Master in Applied Science in Health/UNISUAM, Av. Paris, 84, Bonsucesso, Rio de Janeiro, RJ, 21041-020, Brazil
| | - Silmar Teixeira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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18
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Krüger M, Straube A, Eggert T. The Propagation of Movement Variability in Time: A Methodological Approach for Discrete Movements with Multiple Degrees of Freedom. Front Comput Neurosci 2017; 11:93. [PMID: 29081743 PMCID: PMC5645523 DOI: 10.3389/fncom.2017.00093] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Accepted: 09/26/2017] [Indexed: 11/23/2022] Open
Abstract
In recent years, theory-building in motor neuroscience and our understanding of the synergistic control of the redundant human motor system has significantly profited from the emergence of a range of different mathematical approaches to analyze the structure of movement variability. Approaches such as the Uncontrolled Manifold method or the Noise-Tolerance-Covariance decomposition method allow to detect and interpret changes in movement coordination due to e.g., learning, external task constraints or disease, by analyzing the structure of within-subject, inter-trial movement variability. Whereas, for cyclical movements (e.g., locomotion), mathematical approaches exist to investigate the propagation of movement variability in time (e.g., time series analysis), similar approaches are missing for discrete, goal-directed movements, such as reaching. Here, we propose canonical correlation analysis as a suitable method to analyze the propagation of within-subject variability across different time points during the execution of discrete movements. While similar analyses have already been applied for discrete movements with only one degree of freedom (DoF; e.g., Pearson's product-moment correlation), canonical correlation analysis allows to evaluate the coupling of inter-trial variability across different time points along the movement trajectory for multiple DoF-effector systems, such as the arm. The theoretical analysis is illustrated by empirical data from a study on reaching movements under normal and disturbed proprioception. The results show increased movement duration, decreased movement amplitude, as well as altered movement coordination under ischemia, which results in a reduced complexity of movement control. Movement endpoint variability is not increased under ischemia. This suggests that healthy adults are able to immediately and efficiently adjust the control of complex reaching movements to compensate for the loss of proprioceptive information. Further, it is shown that, by using canonical correlation analysis, alterations in movement coordination that indicate changes in the control strategy concerning the use of motor redundancy can be detected, which represents an important methodical advance in the context of neuromechanics.
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Affiliation(s)
- Melanie Krüger
- Sensorimotor Neuroscience and Ageing Research Laboratory, School of Medicine, University of Tasmania, Hobart, TAS, Australia.,Department of Neurology, University Hospital Munich Großhadern, Munich, Germany.,Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Andreas Straube
- Department of Neurology, University Hospital Munich Großhadern, Munich, Germany
| | - Thomas Eggert
- Department of Neurology, University Hospital Munich Großhadern, Munich, Germany
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19
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Marinho V, Oliveira T, Rocha K, Ribeiro J, Magalhães F, Bento T, Pinto GR, Velasques B, Ribeiro P, Di Giorgio L, Orsini M, Gupta DS, Bittencourt J, Bastos VH, Teixeira S. The dopaminergic system dynamic in the time perception: a review of the evidence. Int J Neurosci 2017; 128:262-282. [PMID: 28950734 DOI: 10.1080/00207454.2017.1385614] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Dopaminergic system plays a key role in perception, which is an important executive function of the brain. Modulation in dopaminergic system forms an important biochemical underpinning of neural mechanisms of time perception in a very wide range, from milliseconds to seconds to longer daily rhythms. Distinct types of temporal experience are poorly understood, and the relationship between processing of different intervals by the brain has received little attention. A comprehensive understanding of interval timing functions should be sought within a wider context of temporal processing, involving genetic aspects, pharmacological models, cognitive aspects, motor control and the neurological diseases with impaired dopaminergic system. Particularly, an unexplored question is whether the role of dopamine in interval timing can be integrated with the role of dopamine in non-interval timing temporal components. In this review, we explore a wider perspective of dopaminergic system, involving genetic polymorphisms, pharmacological models, executive functions and neurological diseases on the time perception. We conclude that the dopaminergic system has great participation in impact on time perception and neurobiological basis of the executive functions and neurological diseases.
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Affiliation(s)
- Victor Marinho
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Thomaz Oliveira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Kaline Rocha
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Jéssica Ribeiro
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Francisco Magalhães
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Thalys Bento
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Giovanny R Pinto
- b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Bruna Velasques
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Pedro Ribeiro
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Luiza Di Giorgio
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Marco Orsini
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil.,d Rehabilitation Science Program, Analysis of Human Movement Laboratory, Augusto Motta University Center (UNISUAM) , Rio de Janeiro , Brazil
| | - Daya S Gupta
- e Department of Biology , Camden County College , Blackwood , NJ , USA
| | - Juliana Bittencourt
- f Biomedical Engineering Program (COPPE), Federal University of Rio de Janeiro (UFRJ) , Rio de Janeiro , Brazil
| | - Victor Hugo Bastos
- g Brain Mapping and Functionality Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Silmar Teixeira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
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20
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Gupta DS, Merchant H. Editorial: Understanding the Role of the Time Dimension in the Brain Information Processing. Front Psychol 2017; 8:240. [PMID: 28280477 PMCID: PMC5322218 DOI: 10.3389/fpsyg.2017.00240] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2017] [Accepted: 02/07/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- Daya S Gupta
- Department of Biology, Camden County College Blackwood, NJ, USA
| | - Hugo Merchant
- Department of Behavioral and Cognitive Neurobiology, Instituto de Neurobiología, UNAM Querétaro, Mexico
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21
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Interactive roles of the cerebellum and striatum in sub-second and supra-second timing: Support for an initiation, continuation, adjustment, and termination (ICAT) model of temporal processing. Neurosci Biobehav Rev 2016; 71:739-755. [PMID: 27773690 DOI: 10.1016/j.neubiorev.2016.10.015] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/06/2016] [Accepted: 10/19/2016] [Indexed: 12/29/2022]
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22
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Teixeira S, Magalhães F, Marinho V, Velasques B, Ribeiro P. Proposal for using time estimation training for the treatment of Parkinson’s disease. Med Hypotheses 2016; 95:58-61. [DOI: 10.1016/j.mehy.2016.08.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 08/07/2016] [Accepted: 08/31/2016] [Indexed: 01/11/2023]
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23
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El Haj M, Kapogiannis D. Time distortions in Alzheimer's disease: a systematic review and theoretical integration. NPJ Aging Mech Dis 2016; 2:16016. [PMID: 28721270 PMCID: PMC5514999 DOI: 10.1038/npjamd.2016.16] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 04/03/2016] [Accepted: 04/17/2016] [Indexed: 02/07/2023] Open
Abstract
Time perception is an essential function of the human brain, which is compromised in Alzheimer’s disease (AD). Here, we review empirical findings on time distortions in AD and provide a theoretical framework that integrates time and memory distortions in AD and explains their bidirectional modulation. The review was based on a literature survey performed on the PubMed and PsycInfo databases. According to our theoretical framework, time distortions may induce decline in the ability to mentally project oneself in time (i.e., mental time travel), and consequently may contribute to an episodic memory compromise in AD. Conversely, episodic memory compromise in AD may result in a loss of the ability to retrieve information about time and/or the ability to project oneself in subjective time. The relationship between time distortions and memory decline in AD can be jointly attributed to hippocampus involvement, as this brain area supports both time perception and memory and is preferentially targeted by the neuropathological processes of AD. Clinical implications of time distortions are discussed and directions for future research are suggested.
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Affiliation(s)
- Mohamad El Haj
- University Lille, CNRS, CHU Lille, UMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, Lille, France
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24
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Fontes R, Ribeiro J, Gupta DS, Machado D, Lopes-Júnior F, Magalhães F, Bastos VH, Rocha K, Marinho V, Lima G, Velasques B, Ribeiro P, Orsini M, Pessoa B, Leite MAA, Teixeira S. Time Perception Mechanisms at Central Nervous System. Neurol Int 2016; 8:5939. [PMID: 27127597 PMCID: PMC4830363 DOI: 10.4081/ni.2016.5939] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2015] [Revised: 11/24/2015] [Accepted: 11/30/2015] [Indexed: 12/20/2022] Open
Abstract
The five senses have specific ways to receive environmental information and lead to central nervous system. The perception of time is the sum of stimuli associated with cognitive processes and environmental changes. Thus, the perception of time requires a complex neural mechanism and may be changed by emotional state, level of attention, memory and diseases. Despite this knowledge, the neural mechanisms of time perception are not yet fully understood. The objective is to relate the mechanisms involved the neurofunctional aspects, theories, executive functions and pathologies that contribute the understanding of temporal perception. Articles form 1980 to 2015 were searched by using the key themes: neuroanatomy, neurophysiology, theories, time cells, memory, schizophrenia, depression, attention-deficit hyperactivity disorder and Parkinson’s disease combined with the term perception of time. We evaluated 158 articles within the inclusion criteria for the purpose of the study. We conclude that research about the holdings of the frontal cortex, parietal, basal ganglia, cerebellum and hippocampus have provided advances in the understanding of the regions related to the perception of time. In neurological and psychiatric disorders, the understanding of time depends on the severity of the diseases and the type of tasks.
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Affiliation(s)
- Rhailana Fontes
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Jéssica Ribeiro
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Daya S Gupta
- Department of Biology, Camden County College , Blackwood, NJ, USA
| | - Dionis Machado
- Laboratory of Brain Mapping and Functionality, Federal University of Piauí , Parnaíba
| | - Fernando Lopes-Júnior
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Francisco Magalhães
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Victor Hugo Bastos
- Laboratory of Brain Mapping and Functionality, Federal University of Piauí , Parnaíba
| | - Kaline Rocha
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Victor Marinho
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
| | - Gildário Lima
- Neurophisic Applied Laboratory, Federal University of Piauí , Parnaíba
| | - Bruna Velasques
- Brain Mapping and and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro , Rio de Janeiro
| | - Pedro Ribeiro
- Brain Mapping and and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro , Rio de Janeiro
| | | | - Bruno Pessoa
- Neurology Department, Federal Fluminense University , Niterói, Brazil
| | | | - Silmar Teixeira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí , Parnaíba, Brazil
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25
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26
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Choi W, Lee G, Lee S. Effect of the cognitive-motor dual-task using auditory cue on balance of surviviors with chronic stroke: a pilot study. Clin Rehabil 2014; 29:763-70. [DOI: 10.1177/0269215514556093] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 09/25/2014] [Indexed: 11/15/2022]
Abstract
Objective: To investigate the effect of a cognitive-motor dual-task using auditory cues on the balance of patients with chronic stroke. Design: Randomized controlled trial. Setting: Inpatient rehabilitation center. Subjects: Thirty-seven individuals with chronic stroke. Interventions: The participants were randomly allocated to the dual-task group ( n=19) and the single-task group ( n=18). The dual-task group performed a cognitive-motor dual-task in which they carried a circular ring from side to side according to a random auditory cue during treadmill walking. The single-task group walked on a treadmill only. All subjects completed 15 min per session, three times per week, for four weeks with conventional rehabilitation five times per week over the four weeks. Main measures: Before and after intervention, both static and dynamic balance were measured with a force platform and using the Timed Up and Go (TUG) test. Results: The dual-task group showed significant improvement in all variables compared to the single-task group, except for anteroposterior (AP) sway velocity with eyes open and TUG at follow-up: mediolateral (ML) sway velocity with eye open (dual-task group vs. single-task group: 2.11 mm/s vs. 0.38 mm/s), ML sway velocity with eye close (2.91 mm/s vs. 1.35 mm/s), AP sway velocity with eye close (4.84 mm/s vs. 3.12 mm/s). After intervention, all variables showed significant improvement in the dual-task group compared to baseline. Conclusion: The study results suggest that the performance of a cognitive-motor dual-task using auditory cues may influence balance improvements in chronic stroke patients.
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Affiliation(s)
- Wonjae Choi
- Department of Physical Therapy, College of Health and Welfare, Sahmyook University, Seoul, South Korea
- Institute of Rehabilitation Science, Seoul, South Korea
| | - GyuChang Lee
- Department of Physical Therapy, College of Natural Science, Kyungnam University, Changwon-si, South Korea
| | - Seungwon Lee
- Department of Physical Therapy, College of Health and Welfare, Sahmyook University, Seoul, South Korea
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Chen L. How many neural oscillators we need on sub- and supra-second intervals processing in the primate brain. Front Psychol 2014; 5:1263. [PMID: 25414682 PMCID: PMC4222218 DOI: 10.3389/fpsyg.2014.01263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 10/17/2014] [Indexed: 11/30/2022] Open
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