1
|
Hinault T, D'Argembeau A, Bowler DM, La Corte V, Desaunay P, Provasi J, Platel H, Tran The J, Charretier L, Giersch A, Droit-Volet S. Time processing in neurological and psychiatric conditions. Neurosci Biobehav Rev 2023; 154:105430. [PMID: 37871780 DOI: 10.1016/j.neubiorev.2023.105430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 10/25/2023]
Abstract
A central question in understanding cognition and pathology-related cognitive changes is how we process time. However, time processing difficulties across several neurological and psychiatric conditions remain seldom investigated. The aim of this review is to develop a unifying taxonomy of time processing, and a neuropsychological perspective on temporal difficulties. Four main temporal judgments are discussed: duration processing, simultaneity and synchrony, passage of time, and mental time travel. We present an integrated theoretical framework of timing difficulties across psychiatric and neurological conditions based on selected patient populations. This framework provides new mechanistic insights on both (a) the processes involved in each temporal judgement, and (b) temporal difficulties across pathologies. By identifying underlying transdiagnostic time-processing mechanisms, this framework opens fruitful avenues for future research.
Collapse
Affiliation(s)
- Thomas Hinault
- Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14032 Caen, France.
| | - Arnaud D'Argembeau
- Psychology and Neuroscience of Cognition Research Unit, University of Liège, F.R.S-FNRS, 4000 Liège, Belgium
| | - Dermot M Bowler
- Autism Research Group, City, University of London, EC1V 0HB London, United Kingdom
| | - Valentina La Corte
- Laboratoire Mémoire, Cerveau et Cognition (MC2Lab), UR 7536, Université de Paris cité, 92774 Boulogne-Billancourt, France; Institut Universitaire de France, 75231 Paris, France
| | - Pierre Desaunay
- Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14032 Caen, France; Service de Psychiatrie de l'enfant et de l'adolescent, CHU de Caen, 14000 Caen, France
| | - Joelle Provasi
- CHArt laboratory (Human and Artificial Cognition), EPHE-PSL, 75014 Paris, France
| | - Hervé Platel
- Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14032 Caen, France
| | - Jessica Tran The
- Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14032 Caen, France
| | - Laura Charretier
- Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14032 Caen, France
| | - Anne Giersch
- Cognitive Neuropsychology and Pathophysiology of Schizophrenia Laboratory, National Institute of Health and Medical Research, University of Strasbourg, 67081 Strasbourg, France
| | - Sylvie Droit-Volet
- Université Clermont Auvergne, LAPSCO, CNRS, UMR 6024, 60032 Clermont-Ferrand, France
| |
Collapse
|
2
|
Buzi G, Eustache F, D'Argembeau A, Hinault T. The role of depressive symptoms in the interplay between aging and temporal processing. Sci Rep 2023; 13:11375. [PMID: 37452125 PMCID: PMC10349066 DOI: 10.1038/s41598-023-38500-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023] Open
Abstract
Temporal processing, the ability to mentally represent and process the dynamical unfolding of events over time, is a fundamental feature of cognition that evolves with advancing age. Aging has indeed been associated with slower and more variable performance in timing tasks. However, the role of depressive symptoms in age-related changes in temporal processing remains to be investigated. Therefore, the present work aims to shed light on the link between temporal processing and depressive symptoms, which are frequent with advancing age. We relied on the multicentric "Blursday Project" database, providing measures of temporal processing together with questionnaires investigating psychological wellbeing. Results reveal that aging influences several timing abilities, from the reproduction of short time intervals to verbal estimations of longer temporal distances. Furthermore, the slowing down of felt passage of time regarding the last few days with age was fully mediated by the intensity of depressive symptoms. Overall, these findings suggest that depressive symptoms may play a pivotal role in age-related temporal processing changes.
Collapse
Affiliation(s)
- Giulia Buzi
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France
| | - Francis Eustache
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France
| | - Arnaud D'Argembeau
- Department of Psychology, Psychology and Neuroscience of Cognition Research Unit, University of Liège, Place des Orateurs 1 (B33), 4000, Liège, Belgium
| | - Thomas Hinault
- Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine (NIMH), 2, Rue des Rochambelles, 14000, Caen, France.
| |
Collapse
|
3
|
Yin B, Shi Z, Wang Y, Meck WH. Oscillation/Coincidence-Detection Models of Reward-Related Timing in Corticostriatal Circuits. TIMING & TIME PERCEPTION 2022. [DOI: 10.1163/22134468-bja10057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Abstract
The major tenets of beat-frequency/coincidence-detection models of reward-related timing are reviewed in light of recent behavioral and neurobiological findings. This includes the emphasis on a core timing network embedded in the motor system that is comprised of a corticothalamic-basal ganglia circuit. Therein, a central hub provides timing pulses (i.e., predictive signals) to the entire brain, including a set of distributed satellite regions in the cerebellum, cortex, amygdala, and hippocampus that are selectively engaged in timing in a manner that is more dependent upon the specific sensory, behavioral, and contextual requirements of the task. Oscillation/coincidence-detection models also emphasize the importance of a tuned ‘perception’ learning and memory system whereby target durations are detected by striatal networks of medium spiny neurons (MSNs) through the coincidental activation of different neural populations, typically utilizing patterns of oscillatory input from the cortex and thalamus or derivations thereof (e.g., population coding) as a time base. The measure of success of beat-frequency/coincidence-detection accounts, such as the Striatal Beat-Frequency model of reward-related timing (SBF), is their ability to accommodate new experimental findings while maintaining their original framework, thereby making testable experimental predictions concerning diagnosis and treatment of issues related to a variety of dopamine-dependent basal ganglia disorders, including Huntington’s and Parkinson’s disease.
Collapse
Affiliation(s)
- Bin Yin
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
- School of Psychology, Fujian Normal University, Fuzhou, 350117, Fujian, China
| | - Zhuanghua Shi
- Department of Psychology, Ludwig Maximilian University of Munich, 80802 Munich, Germany
| | - Yaxin Wang
- School of Psychology, Fujian Normal University, Fuzhou, 350117, Fujian, China
| | - Warren H. Meck
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| |
Collapse
|
4
|
Schlichting N, Kartashova T, Wiesing M, Zimmermann E. Temporal perturbations cause movement-context independent but modality specific sensorimotor adaptation. J Vis 2022; 22:18. [PMID: 35201280 PMCID: PMC8883149 DOI: 10.1167/jov.22.2.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Complex, goal-directed and time-critical movements require the processing of temporal features in sensory information as well as the fine-tuned temporal interplay of several effectors. Temporal estimates used to produce such behavior may thus be obtained through perceptual or motor processes. To disentangle the two options, we tested whether adaptation to a temporal perturbation in an interval reproduction task transfers to interval reproduction tasks with varying sensory information (visual appearance of targets, modality, and virtual reality [VR] environment or real-world) or varying movement types (continuous arm movements or brief clicking movements). Halfway through the experiments we introduced a temporal perturbation, such that continuous pointing movements were artificially slowed down in VR, causing participants to adapt their behavior to sustain performance. In four experiments, we found that sensorimotor adaptation to temporal perturbations is independent of environment context and movement type, but modality specific. Our findings suggest that motor errors induced by temporal sensorimotor adaptation affect the modality specific perceptual processing of temporal estimates.
Collapse
Affiliation(s)
- Nadine Schlichting
- Institute for Experimental Psychology, Heinrich-Heine-University Düsseldorf, Germany.,
| | - Tatiana Kartashova
- Institute for Experimental Psychology, Heinrich-Heine-University Düsseldorf, Germany.,
| | - Michael Wiesing
- Institute for Experimental Psychology, Heinrich-Heine-University Düsseldorf, Germany.,
| | - Eckart Zimmermann
- Institute for Experimental Psychology, Heinrich-Heine-University Düsseldorf, Germany.,
| |
Collapse
|
5
|
Machado A, Guilhardi P, Caetano MS, Silva FJ. Rules of Conduct for Behavior Analysts in the Presence of Hypothetical Constructs: A Commentary on Eckard and Lattal (2020). Perspect Behav Sci 2021; 43:791-802. [PMID: 33381689 DOI: 10.1007/s40614-020-00272-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2020] [Indexed: 11/25/2022] Open
Abstract
Eckard and Lattal (2020) summarized the behavioristic view of hypothetical constructs and theories, and then, in a novel and timely manner, applied this view to a critique of internal clock models of temporal control. In our three-part commentary, we aim to contribute to the authors' discussion by first expanding upon their view of the positive contributions afforded by constructs and theories. We then refine and question their view of the perils of reifying constructs and assigning them causal properties. Finally, we suggest to behavior analysts four rules of conduct for dealing with mediational theories: tolerate constructs proposed with sufficient reason; consider them seriously, both empirically and conceptually; develop alternative, behavior-analytic models with overlapping empirical domains; and contrast the various models. Through variation and selection, behavioral science will evolve.
Collapse
|
6
|
Yousefzadeh SA, Hesslow G, Shumyatsky GP, Meck WH. Internal Clocks, mGluR7 and Microtubules: A Primer for the Molecular Encoding of Target Durations in Cerebellar Purkinje Cells and Striatal Medium Spiny Neurons. Front Mol Neurosci 2020; 12:321. [PMID: 31998074 PMCID: PMC6965020 DOI: 10.3389/fnmol.2019.00321] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 12/16/2019] [Indexed: 12/16/2022] Open
Abstract
The majority of studies in the field of timing and time perception have generally focused on sub- and supra-second time scales, specific behavioral processes, and/or discrete neuronal circuits. In an attempt to find common elements of interval timing from a broader perspective, we review the literature and highlight the need for cell and molecular studies that can delineate the neural mechanisms underlying temporal processing. Moreover, given the recent attention to the function of microtubule proteins and their potential contributions to learning and memory consolidation/re-consolidation, we propose that these proteins play key roles in coding temporal information in cerebellar Purkinje cells (PCs) and striatal medium spiny neurons (MSNs). The presence of microtubules at relevant neuronal sites, as well as their adaptability, dynamic structure, and longevity, makes them a suitable candidate for neural plasticity at both intra- and inter-cellular levels. As a consequence, microtubules appear capable of maintaining a temporal code or engram and thereby regulate the firing patterns of PCs and MSNs known to be involved in interval timing. This proposed mechanism would control the storage of temporal information triggered by postsynaptic activation of mGluR7. This, in turn, leads to alterations in microtubule dynamics through a "read-write" memory process involving alterations in microtubule dynamics and their hexagonal lattice structures involved in the molecular basis of temporal memory.
Collapse
Affiliation(s)
- S. Aryana Yousefzadeh
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Germund Hesslow
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Gleb P. Shumyatsky
- Department of Genetics, Rutgers University, Piscataway, NJ, United States
| | - Warren H. Meck
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| |
Collapse
|
7
|
Hardy NF, Goudar V, Romero-Sosa JL, Buonomano DV. A model of temporal scaling correctly predicts that motor timing improves with speed. Nat Commun 2018; 9:4732. [PMID: 30413692 PMCID: PMC6226482 DOI: 10.1038/s41467-018-07161-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 10/20/2018] [Indexed: 11/09/2022] Open
Abstract
Timing is fundamental to complex motor behaviors: from tying a knot to playing the piano. A general feature of motor timing is temporal scaling: the ability to produce motor patterns at different speeds. One theory of temporal processing proposes that the brain encodes time in dynamic patterns of neural activity (population clocks), here we first examine whether recurrent neural network (RNN) models can account for temporal scaling. Appropriately trained RNNs exhibit temporal scaling over a range similar to that of humans and capture a signature of motor timing, Weber's law, but predict that temporal precision improves at faster speeds. Human psychophysics experiments confirm this prediction: the variability of responses in absolute time are lower at faster speeds. These results establish that RNNs can account for temporal scaling and suggest a novel psychophysical principle: the Weber-Speed effect.
Collapse
Affiliation(s)
- Nicholas F Hardy
- Neuroscience Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Departments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Vishwa Goudar
- Departments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Juan L Romero-Sosa
- Departments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Dean V Buonomano
- Neuroscience Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, 90095, USA.
- Departments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
- Departments of Psychology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| |
Collapse
|
8
|
Iwasaki M, Noguchi Y, Kakigi R. Neural correlates of time distortion in a preaction period. Hum Brain Mapp 2018; 40:804-817. [PMID: 30276935 DOI: 10.1002/hbm.24413] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 08/19/2018] [Accepted: 09/24/2018] [Indexed: 11/09/2022] Open
Abstract
An intention to move distorts the perception of time. For example, a visual stimulus presented during the preparation of manual movements is perceived longer than actual. Although neural mechanisms underlying this action-induced time distortion have been unclear, here we propose a new model in which the distortion is caused by a sensory-motor interaction mediated by alpha rhythm. It is generally known that viewing a stimulus induces a reduction in amplitude of occipital 10-Hz wave ("alpha-blocking"). Preparing manual movements are also known to reduce alpha power in the motor cortex ("mu-suppression"). When human participants prepared movements while viewing a stimulus, we found that those two types of classical alpha suppression interacted in the third (time-processing) region in the brain, inducing a prominent decrease in alpha power in the supplementary motor cortex (SMA). Interestingly, this alpha suppression in the SMA occurred in an asymmetric manner (such that troughs of alpha rhythm was more strongly suppressed than peaks), which can produce a gradual increase (slow shift of baseline) in neural activity. Since the neural processing in the SMA encodes a subjective time length for a sensory event, the increased activity in this region (by the asymmetric alpha suppression) would cause an overestimation of elapsed time, resulting in the action-induced time distortion. Those results showed a unique role of alpha wave enabling communications across distant (visual, motor, and time-processing) regions in the brain and further suggested a new type of sensory-motor interaction based on neural desynchronization (rather than synchronization).
Collapse
Affiliation(s)
- Miho Iwasaki
- Department of Psychology, Graduate School of Humanities, Kobe University, Kobe, Japan
| | - Yasuki Noguchi
- Department of Psychology, Graduate School of Humanities, Kobe University, Kobe, Japan
| | - Ryusuke Kakigi
- Department of Integrative Physiology, National Institute for Physiological Sciences, Okazaki, Japan
| |
Collapse
|
9
|
Coull JT, Droit-Volet S. Explicit Understanding of Duration Develops Implicitly through Action. Trends Cogn Sci 2018; 22:923-937. [DOI: 10.1016/j.tics.2018.07.011] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 06/29/2018] [Accepted: 07/16/2018] [Indexed: 01/08/2023]
|
10
|
Gili T, Ciullo V, Spalletta G. Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem. Front Comput Neurosci 2018; 12:75. [PMID: 30254581 PMCID: PMC6141745 DOI: 10.3389/fncom.2018.00075] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 08/17/2018] [Indexed: 01/02/2023] Open
Abstract
The dynamics of the environment where we live in and the interaction with it, predicting events, provided strong evolutionary pressures for the brain functioning to process temporal information and generate timed responses. As a result, the human brain is able to process temporal information and generate temporal patterns. Despite the clear importance of temporal processing to cognition, learning, communication and sensory, motor and emotional processing, the basal mechanisms of how animals differentiate simple intervals or provide timed responses are still under debate. The lesson we learned from the last decade of research in neuroscience is that functional and structural brain connectivity matter. Specifically, it has been accepted that the organization of the brain in interacting segregated networks enables its function. In this paper we delineate the route to a promising approach for investigating timing mechanisms. We illustrate how novel insight into timing mechanisms can come by investigating brain functioning as a multi-layer dynamical network whose clustered dynamics is bound to report the presence of metastable states. We anticipate that metastable dynamics underlie the real-time coordination necessary for the brain's dynamic functioning associated to time perception. This new point of view will help further clarifying mechanisms of neuropsychiatric disorders.
Collapse
Affiliation(s)
- Tommaso Gili
- IMT School for Advanced Studies Lucca, Lucca, Italy.,Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy.,Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy.,Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| |
Collapse
|
11
|
Comstock DC, Hove MJ, Balasubramaniam R. Sensorimotor Synchronization With Auditory and Visual Modalities: Behavioral and Neural Differences. Front Comput Neurosci 2018; 12:53. [PMID: 30072885 PMCID: PMC6058047 DOI: 10.3389/fncom.2018.00053] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 06/19/2018] [Indexed: 11/13/2022] Open
Abstract
It has long been known that the auditory system is better suited to guide temporally precise behaviors like sensorimotor synchronization (SMS) than the visual system. Although this phenomenon has been studied for many years, the underlying neural and computational mechanisms remain unclear. Growing consensus suggests the existence of multiple, interacting, context-dependent systems, and that reduced precision in visuo-motor timing might be due to the way experimental tasks have been conceived. Indeed, the appropriateness of the stimulus for a given task greatly influences timing performance. In this review, we examine timing differences for sensorimotor synchronization and error correction with auditory and visual sequences, to inspect the underlying neural mechanisms that contribute to modality differences in timing. The disparity between auditory and visual timing likely relates to differences in the processing specialization between auditory and visual modalities (temporal vs. spatial). We propose this difference could offer potential explanation for the differing temporal abilities between modalities. We also offer suggestions as to how these sensory systems interface with motor and timing systems.
Collapse
Affiliation(s)
- Daniel C Comstock
- Cognitive and Information Sciences, University of California, Merced, Merced, CA, United States
| | - Michael J Hove
- Department of Psychological Science, Fitchburg State University, Fitchburg, MA, United States
| | - Ramesh Balasubramaniam
- Cognitive and Information Sciences, University of California, Merced, Merced, CA, United States
| |
Collapse
|
12
|
Hardy NF, Buonomano DV. Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model. Neural Comput 2018; 30:378-396. [PMID: 29162002 PMCID: PMC5873300 DOI: 10.1162/neco_a_01041] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Brain activity evolves through time, creating trajectories of activity that underlie sensorimotor processing, behavior, and learning and memory. Therefore, understanding the temporal nature of neural dynamics is essential to understanding brain function and behavior. In vivo studies have demonstrated that sequential transient activation of neurons can encode time. However, it remains unclear whether these patterns emerge from feedforward network architectures or from recurrent networks and, furthermore, what role network structure plays in timing. We address these issues using a recurrent neural network (RNN) model with distinct populations of excitatory and inhibitory units. Consistent with experimental data, a single RNN could autonomously produce multiple functionally feedforward trajectories, thus potentially encoding multiple timed motor patterns lasting up to several seconds. Importantly, the model accounted for Weber's law, a hallmark of timing behavior. Analysis of network connectivity revealed that efficiency-a measure of network interconnectedness-decreased as the number of stored trajectories increased. Additionally, the balance of excitation (E) and inhibition (I) shifted toward excitation during each unit's activation time, generating the prediction that observed sequential activity relies on dynamic control of the E/I balance. Our results establish for the first time that the same RNN can generate multiple functionally feedforward patterns of activity as a result of dynamic shifts in the E/I balance imposed by the connectome of the RNN. We conclude that recurrent network architectures account for sequential neural activity, as well as for a fundamental signature of timing behavior: Weber's law.
Collapse
Affiliation(s)
- N F Hardy
- Neuroscience Interdepartmental Program and Department of Neurobiology, University of California Los Angeles, Los Angeles, CA 90095, U.S.A.
| | - Dean V Buonomano
- Neuroscience Interdepartmental Program and Departments of Neurology and Psychology, University of California Los Angeles, Los Angeles, CA 90095, U.S.A.
| |
Collapse
|
13
|
Bueno FD, Morita VC, de Camargo RY, Reyes MB, Caetano MS, Cravo AM. Dynamic representation of time in brain states. Sci Rep 2017; 7:46053. [PMID: 28393850 PMCID: PMC5385543 DOI: 10.1038/srep46053] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 03/10/2017] [Indexed: 11/09/2022] Open
Abstract
The ability to process time on the scale of milliseconds and seconds is essential for behaviour. A growing number of studies have started to focus on brain dynamics as a mechanism for temporal encoding. Although there is growing evidence in favour of this view from computational and in vitro studies, there is still a lack of results from experiments in humans. We show that high-dimensional brain states revealed by multivariate pattern analysis of human EEG are correlated to temporal judgements. First, we show that, as participants estimate temporal intervals, the spatiotemporal dynamics of their brain activity are consistent across trials. Second, we present evidence that these dynamics exhibit properties of temporal perception, such as scale invariance. Lastly, we show that it is possible to predict temporal judgements based on brain states. These results show how scalp recordings can reveal the spatiotemporal dynamics of human brain activity related to temporal processing.
Collapse
Affiliation(s)
- Fernanda Dantas Bueno
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| | - Vanessa C Morita
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| | - Raphael Y de Camargo
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| | - Marcelo B Reyes
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| | - Marcelo S Caetano
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| | - André M Cravo
- Centro de Matemática Computação e Cognição, Universidade Federal do ABC (UFABC), Rua Santa Adélia, 166, Santo André - SP - 09210-170, Brasil
| |
Collapse
|
14
|
Benton CP, Redfern AS. Perceived Duration Increases with Contrast, but Only a Little. Front Psychol 2016; 7:1950. [PMID: 28018282 PMCID: PMC5156709 DOI: 10.3389/fpsyg.2016.01950] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Accepted: 11/28/2016] [Indexed: 11/13/2022] Open
Abstract
Recent adaptation studies provide evidence for early visual areas playing a role in duration perception. One explanation for the pronounced duration compression commonly found with adaptation is that it reflects adaptation-driven stimulus-specific reduction in neural activity in early visual areas. If this level of stimulus-associated neural activity does drive duration, then we would expect a strong effect of contrast on perceived duration as electrophysiological studies shows neural activity in early visual areas to be strongly related to contrast. We employed a spatially isotropic noise stimulus where the luminance of each noise element was independently sinusoidally modulated at 4 Hz. Participants matched the perceived duration of a high (0.9) or low (0.1) contrast stimulus to a previously presented standard stimulus (600 ms, contrast = 0.3). To achieve perceptually equivalent durations, the low contrast stimulus had to be presented for longer than the high contrast stimulus. This occurred when we controlled for stimulus size and when we adjusted for individual differences in perceived temporal frequency. Further, we show that the effect cannot be explained by shifts in perceived onset and offset and is not explained by a simple contrast-driven response bias. The direction of our results is clearly consistent with the idea that level of neural activity drives duration. However, the magnitude of the effect (~10% duration difference over a 0.9-0.1 contrast reduction) is in marked contrast to the larger duration distortions that can be found with repetition suppression and the oddball effect; particularly when these may be associated with smaller differences in neural activity than that expected from our contrast difference. Taken together, these results indicate that level of stimulus-related neural activity in early visual areas is unlikely to provide a general mechanism for explaining differences in perceived duration.
Collapse
|
15
|
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]
|
16
|
Abstract
It is becoming more apparent that there are rich contributions to temporal processing across the brain. Temporal dynamics have been found from lower brain structures all the way to cortical regions. Specifically,in vitrocortical preparations have been extremely useful in understanding how local circuits can time. While many of these results depict vastly different processing than a traditional central clock metaphor they still leave questions as to how this information is integrated. We therefore review evidence to place the results pertaining to local circuit timers into the larger context of temporal perception and generalization.
Collapse
|
17
|
Turgeon M, Lustig C, Meck WH. Cognitive Aging and Time Perception: Roles of Bayesian Optimization and Degeneracy. Front Aging Neurosci 2016; 8:102. [PMID: 27242513 PMCID: PMC4870863 DOI: 10.3389/fnagi.2016.00102] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 04/20/2016] [Indexed: 12/14/2022] Open
Abstract
This review outlines the basic psychological and neurobiological processes associated with age-related distortions in timing and time perception in the hundredths of milliseconds-to-minutes range. The difficulty in separating indirect effects of impairments in attention and memory from direct effects on timing mechanisms is addressed. The main premise is that normal aging is commonly associated with increased noise and temporal uncertainty as a result of impairments in attention and memory as well as the possible reduction in the accuracy and precision of a central timing mechanism supported by dopamine-glutamate interactions in cortico-striatal circuits. Pertinent to these findings, potential interventions that may reduce the likelihood of observing age-related declines in timing are discussed. Bayesian optimization models are able to account for the adaptive changes observed in time perception by assuming that older adults are more likely to base their temporal judgments on statistical inferences derived from multiple trials than on a single trial's clock reading, which is more susceptible to distortion. We propose that the timing functions assigned to the age-sensitive fronto-striatal network can be subserved by other neural networks typically associated with finely-tuned perceptuo-motor adjustments, through degeneracy principles (different structures serving a common function).
Collapse
Affiliation(s)
- Martine Turgeon
- Douglas Mental Health University Institute, McGill UniversityMontreal, QC, Canada
| | - Cindy Lustig
- Department of Psychology, University of MichiganAnn Arbor, MI, USA
| | - Warren H. Meck
- Department of Psychology and Neuroscience, Duke UniversityDurham, NC, USA
| |
Collapse
|