The ability to accurately estimate the passage of time plays an important role in daily activities, from the sleep-wake cycle to speaking, to the ability to play musical instruments. We process time across a wide range of intervals, which operates over the range of milliseconds to the 24-h (Buhusi & Meck, 2005; Fraisse, 1984; Grondin, 2010). As described by Block, Grondin, and Zakay (Chapter 2, this volume), the methods to investigate temporal processing can be distinguished in prospective and retrospective paradigms. In the prospective paradigm, participants know in advance that they will be asked to judge the duration of a time period. In the retrospective paradigm, participants do not know until the end of a time period that they will be asked to judge its duration. The way participants experience the passage of time and the various cognitive processes involved may nevertheless differ between the two paradigms. In the prospective paradigm, a person may intentionally encode temporal information as an integral part of the experience of the time period. In the retrospective paradigm, a person may incidentally encode temporal information, and whatever information is relevant may be later retrieved from memory.
Traditionally, processing duration in the milliseconds-seconds range has been explained using the pacemaker-accumulator model (Gibbon, Church, & Meck, 1984; Triesman, 1963). The model postulates that duration judgments go through three stages: clock, memory, and decision stage. The clock stage is composed of a pacemaker that emits pulses gated to an accumulator. A switch is placed before the accumulator that controls the flow of pulses from the pacemaker to the accumulator. The memory stage is conceptualized as the storing system that accumulates pulses in working memory for comparison with the content of reference memory. The reference memory contains a long-term memory representation of pulses accumulated across prior trials. The final stage is the decision stage, in which the current duration is compared with those stored in the reference memory. In Treisman’s model (1963),
These models provide interesting frameworks to test research hypotheses. But how do we test them? Which method is more appropriate for a specific question? In this view, the purpose of this chapter is to facilitate a future researcher that approaches the study of timing to select the appropriate method with a specific focus on prospective timing. Here, the principal methods for studying time in the prospective paradigm will be described. Moreover, applications in clinical populations will be also described.
2 Methods for Studying Time in the Prospective Paradigm
Traditionally, researchers have utilized many different methods for investigating time (Block, 1990; Grondin, 2008; 2010; Zakay 1990; 1993), however, this chapter, will focus only on the most classical ones used in the prospective paradigm (i.e., time production, verbal estimation, and time reproduction).
Time production and verbal estimation tasks may be considered the two sides of the same coin and reflect similar underlying temporal processes and mechanisms (Block, 1990). In the production task, a participant has to produce an interval equal to an interval previously reported (i.e., “Produce 2 seconds”). In the verbal estimation task, after experiencing target duration, the participant has to translate this subjective duration into clock units. An adapted version of experiments utilizing these tasks can be downloaded from the GitHub repository of this book. These two methods involve the comparison of the experienced duration with internal information concerning conventional duration units, such as milliseconds and seconds (i.e., reference memory; Zakay, 1990). In both cases, a translation from an objectively labeled duration to a subjectively experienced duration (i.e., time production) and vice versa (i.e., verbal estimation) has to be completed. Time production and verbal estimation are appropriate ways for investigating individual differences related to the internal clock (its speed rate or variables influencing it), given that they best
In the time reproduction tasks, participants are required to reproduce the duration of the temporal interval previously presented. The task is composed of two phases: the encoding and the reproduction phase. First, participants experience the target duration (i.e., encoding phase), and then they are asked to delimit a time interval (by pressing a designed key) equivalent to the target duration previously presented (i.e., reproduction phase; Mioni, Stablum, McClintock, & Grondin, 2014c). An adapted version of such experiments can be downloaded from the GitHub repository of this book. Compared to the production or verbal estimation tasks, a reproduction task is used less in the investigation of individual differences at the internal clock level. In fact, the speed rate of the internal clock is the same when experiencing the target duration and when reproducing it. This method, which relies on a comparison of previously experienced temporal intervals, has the potential disadvantage that it might be mainly an index of the consistency of the subjective time experience, providing no information about variation at the pacemaker rate. Even if the rate of physiological and cognitive processes varies, the same rate will subserve a person’s experience of the target duration (encoding phase) and its reproduction (reproduction phase). Thus, the reproduction method may detect individual differences only if it is used in the framework of psychophysical studies, in which duration is varied. In addition, judgments obtained by using the reproduction method (as well as the production method) may be confounded by extraneous variables such as the desire to terminate the experiment sooner, impatience, or the inability to delay a response.
Researchers often use these three methods interchangeably without providing an explanation for the selection of a given method. It is important to remember that each method activates different timing-related processes and presents some specific perceptual errors. For example, participants tested with the verbal estimation method are prone to respond to the estimated duration using rounded numbers and data are often characterized by a great amount of variability compared to the other methods (Grondin, 2010; Zakay, 1990). Time reproduction is considered to be more accurate and reliable than time production and verbal estimation; however, it is less useful for investigating variations in the pacemaker rate. Time production and verbal estimation show more inter-participant variability than time reproduction, but can be successfully used in studies where the rate of the internal pacemaker is manipulated.
Moreover, it is important to consider that each method requires cognitive resources to be processed. In fact, a reproduction task recruits attention and working memory to keep active the reference duration in order to subsequently
3 Scoring Methods
Data collected from the reproduction, production, and verbal estimation tasks may be scored in term of the: (1) Sd/Od ratio, (2) absolute discrepancy (|Sd-Od|), (3) absolute error (|Sd-Od|/Od), and (4) coefficient of variation (sd 2/Sd; Glicksohn & Hadad, 2012; Mioni et al., 2014). Sd represents the subjective duration expressed by the participants and Od represents the objective target duration presented.
In computing the Sd/Od ratio, the time estimation is expressed in terms of proportion of physical duration and then the results are compared across different temporal intervals. The absolute discrepancy (|Sd-Od|) reflects the magnitude of temporal error without giving any information regarding the duration (i.e., over- or under-estimation). The absolute error (|Sd-Od|/Od) may be the most sensitive of all indices and reflects a more generalized disruption of timing (Brown & Boltz, 2002). Finally, the coefficient of variance (cv) is an index of timing variability over a series of trials.
Interestingly, Glicksohn and Hadad (2012) tried to compare and contrast these different indices (with exclusion of cv) while studying sex difference in time perception. The authors only considered the time production task, but the results are a good starting point for extending the conclusions to the time reproduction and verbal estimation methods. Briefly, the results showed that when Sd/Od ratio is considered, female participants had a lower mean ratio in comparison to the male participants. In contrast, results reported using |Sd-Od| and |Sd-Od|/Od indices were seriously compromised by wide individual differences. Regarding the cv, it is an interesting index when comparing clinical and healthy groups and when group and individual variability is under investigation. With clinical population, higher temporal variability is a robust finding (Cester, Mioni, & Cornoldi, 2017; Jones & Jahanshahi, 2014; Mioni,
What are the benefits of one measure over the other? If multiple temporal intervals are included within the same experimental design Sd/Od ratio should be used. This index also provides information regarding the direction of duration (over- or under-estimation); if an index of amount of error is needed, the absolute discrepancy (|Sd-Od|) is more appropriate. The absolute error (|Sd-Od|/Od) includes a mix of the other two indices reflecting a more generalized disruption of timing. The cv can be included if different groups (i.e., clinical vs. healthy or children vs. adults) are compared and it is an interesting measure of temporal variability.
4 Critical Considerations
Taking into consideration that each method activates different time-related processes (attentional or working memory resources) and activate different representation of time (subjective or objective), one way to select the appropriate method is to take into account other variables involved such as the temporal interval, the motor component, cognitive load, and cognitive strategies as well as the group of participants under investigation. A general consideration is also that, given the tendency we have to round off time estimates with chronometric units, verbal estimations produce more variability and are less accurate (greater discrepancy with respect to the standard duration) than time production and reproduction methods.
4.1 Temporal Range
Regarding the temporal range, a general tendency in timing literature, mainly in neuroscience researchers, is to emphasize a distinction between intervals above and below 1s, which is based on differential pharmacological effects (Rammsayer, 2008) and on patient studies with various cases of brain damage (see Allman & Meck, 2012; Meck, 2005; Mioni, Grondin, & Stablum, 2014a; Piras et al., 2014). Moreover, researchers claim that the processing of smaller intervals is more sensory-based or benefits from some automatic processing, whereas the processing of longer intervals requires the support of cognitive
Therefore, if the theoretical question involves exploring “pure” temporal abilities, without (or with reduced) influence of cognitive processes, brief temporal intervals (below 1200–1300 ms) should be privileged.
4.2 Concurrent Secondary Task
In most cases, when performing temporal tasks, participants are also engaged in an additional exercise, called the “secondary task”. The aim of adding a secondary task is to: (1) avoid counting strategies that are often used when experiencing long temporal intervals (see Section 4.3) and (2) understand the effects of cognitive load on duration judgments. As mentioned before, attention plays a major role in prospective duration experience. The Attentional-Gate Model (Block & Zakay, 1996; Zakay & Block, 1996) proposes that the
Generally, dual-task conditions (temporal task + secondary task) typically cause time judgments to become less accurate than single-task conditions in which participants judge time alone, but the effects also vary depending on the temporal task used. Verbal estimates and reproductions usually decrease (shorter temporal intervals estimated or reproduced) with greater processing demands during a time period, the reverse usually holds for time productions. During time reproduction tasks, temporal reproductions are longer if the timing task is defined as the primary task (attention fully focused on performing the timing task) than if it is defined as the secondary task (attention is focused on the secondary task).
4.3 Counting during Timing Tasks
Adding a secondary task during the temporal task, not only gives the opportunity to test variations of attention and cognitive resources on time processing, but it also prevents the participants from adopting strategies, such as counting, during time processing (Grondin et al., 1999, 2004). It has been demonstrated that explicit counting improves temporal sensitivity in children as well as in adults (Clément & Rattat, 2006) and also in clinical groups (Perbal, Couillet, Azouvi, & Pouthas, 2003; Perbal, Couillet, Azouvi, & Pouthas, 2005). An explanation of this counting advantage, rely on the knowledge that segmenting information into smaller parts helps the processing of this information. Moreover, counting reduces the contribution of memory to the overall variance in the timing process. This reduction is made possible by the remembering of the number counted rather than by remembering an interval representation.
4.4 Methods for Producing and Reproducing Time
In the case of time production and reproduction, an additional issue concerns the motor action required to produce or reproduce temporal intervals. Participants need to integrate their motor action in order to produce a precise button press to process the temporal interval (Droit-Volet, 2010; Mioni et al., 2014). Moreover, preparing and executing a motor action requires cognitive resources that might result in additional variance (Caldara et al., 2004). For instance, we can assume that people suffering from deficits in planning, preparation, and execution of motor movements could have poor temporal performance in a temporal reproduction task due to their motor-related deficits rather than to their inability to estimate time (Bloxham, Dick, & Mooret, 1987; Stuss et al., 1989). Mioni and colleagues (2014) compared the effects of three classical methods used to reproduce time with temporal intervals ranging from 1 to 18 s: (1) pressing a designed key at the end of the reproduction, (2) pressing a designed key to start and stop the reproduction, and (3) continuous pressing a designed key to reproduce the duration. Results showed that temporal performance depends on the method employed and on the interval range under investigation. In fact, the second method (i.e., pressing to start and end the reproduction) led to better accuracy (|Sd-Od|) than did
4.5 Modality and Stimulus Type
Finally, when building a timing task the modality and the type of temporal interval should be taken into account. The modality refers to the sensory modality used to present the temporal intervals (visual, auditory, or tactile). It is known that time perception is influenced by the sensory modality used for marking the time intervals (Grondin, 2003). Timing is more precise when stimuli are presented in the auditory rather than the visual modality (Grondin, 2003, 2010; Ulrich, Nitschkle, & Rammsayer, 2006), and this auditory superiority might be due to the automaticity of temporal processing in audition.
Also, the way the temporal intervals are presented influence temporal performance. Temporal intervals can be defined as “filled” or “empty”. An interval is defined “filled” when there is one given continuous signal between onset and offset; the signals’ onset and offset marks the interval’s beginning and end. An “empty” interval is a silent duration, that is, without stimulation, included within two sensory signals that mark the beginning and end of the interval. Generally, duration estimates lengthen if duration is filled as opposed to unfilled. However, the differences between performance with filled and empty intervals are used depends on the type of markers, on the range of duration investigated, and the method employed (Grondin, 2008, 2010).
5 Prospective Timing in Clinical Populations
It is useful to bear in mind that there is no human clinical condition that can be defined solely as a disorder of timing and time perception per se. However, distortions in ones’ timing ability are present, to varying degrees, in many patient populations, and may or may not accompany differences in other aspects of sensory processing, as well as developmental, cognitive, and behavioural profiles. From a clinical perspective, examinations of the timing
5.1 Timing in Parkinson’s Patients
pd is a movement disorder characterized by bradykinesia, tremor, rigidity, and postural instability. Disease symptoms occur as a result of selective, progressive, and chronic degeneration of the nigrostriatal and mesocortico-limbic dopamine systems (Allman & Meck, 2012; Jankovic & Tolosa, 2007; Meck, 2005). Dysfunctions in dopamine transmission have also been identified as the main cause of temporal impairment in pd patients. Evidence suggests that pd patients show dysfunctions in time perception in various temporal tasks (Jones & Jahanshahi, 2014).
pd patients have been tested due to their basal ganglia dysfunction and dopaminergic alteration. Dopaminergic antagonists produce a deceleration of the subjective clock speed (Buhusi & Meck, 2005). These results traditionally elected the dopaminergic system and the basal ganglia as a “house” of the pacemaker-clock system. However, the pathophysiology of pd is complex and evolves in the course of the illness. The basal ganglia seem to be particularly involved in timekeeping functions, and a strict connection is hypothesized between the basal ganglia and cortical structures supporting conscious representation and memory for time. The frontal cortex, mainly the dorsolateral prefrontal cortex, has an established role in a range of cognitive processes, such as working memory and decision-making, which the clock model proposes as necessary for efficient interval timing. Therefore, it can be difficult in pd patients to tease apart whether the timing difficulties are driven by a core timing dysfunction, or by the disruption of general cognitive processes.
When investigating perceptual timing in patients with movement disorders the most effective tasks are those not involving reaction time and responses
An interesting phenomenon that is often observed is the “migration effect” (Malapani, Deweer, & Gibbon, 2002; Malapani et al., 1998). When temporal intervals in different temporal ranges are used within the same block, short intervals are over-reproduced and long intervals are under-reproduced (see also the Vierordt’s law; Lejeune, & Wearden, 2009). What is the source of this effect in pd patients? Malapani et al. (2002) suggested that the memory for learned durations is the source of the temporal impairment rather than variation at the clock level.
Some other critical factors that have to be taken into account when testing pd patients is the effect of medication and the role of cognitive factors. Regarding the first point, Jones and Jahanshahi (2014) reported that half of the studies that reported a direct comparison between “ON” and “OFF” medication indicated a beneficial effect of medication on perceptual timing. However, some studies have also reported the opposite findings, reflecting a negative effect of dopaminergic remediation of relatively preserved basal ganglia circuits. Moreover, patients can vary in severity and duration of the illness, which are factors that can mediate the medication impact (Merchant et al., 2008).
Finally, regarding the involvement of cognitive function on temporal processing, this leads to an important area of debate. Does the temporal dysfunction observed in pd patients reflect a dysfunction in critical timing regions or it is mediated by global cognitive impairment? Traditionally, the way for testing the extent to which cognitive impairment is correlated with timing performance is to compare performance in neuropsychological and temporal tasks. Even though most studies report a complete neuropsychological evaluation (Jones & Jahanshahi, 2014), very few studies run correlational analyses. Jones et al. (2008) conducted a factor analysis and reported a common factor between measures of attention and time production that was distinct from time reproduction. However, Merchant et al. (2008) found that performance on a range of cognitive tasks did not discriminate those with pd who did well or poorly on a range or motor and perceptual timing tasks. Importantly, in all these studies, the group of pd patients was treated as a whole sample, however,
5.2 Time in Traumatic Brain Injury Patients
Neuropathological evidence suggest a marked heterogeneity of injuries across tbi patients. However, it is apparent that diffuse axonal injury is common, and that damage occurs most frequently in the frontal and temporal lobes. Temporal impairments in patients with tbi are expected considering the disruption of cognitive function involved in temporal processing (Mioni, Grondin, & Stablum, 2014a; Piras et al., 2014).
Reviewing the studies conducted to investigate temporal dysfunction in tbi patients (Mioni, Grondin, & Stablum, 2014a), four used a time reproduction task (Meyers & Levin, 1992; Mioni, Stablum, McClintock, & Cantagallo, 2012; Mioni, Mattalia, & Stablum, 2013a; Perbal et al., 2003), three a verbal estimation task (Anderson & Schmitter-Edgecombe, 2011; Meyers & Levin, 1992; Schmitter-Edgecombe & Rueda, 2008), two a time production task (Mioni, Mattalia, & Stablum, 2013a; Perbal et al., 2003), and two a time discrimination task5 (Mioni, Mattalia, & Stablum, 2013a; Mioni, Stablum, & Cantagallo, 2013b).
The studies conducted with the time reproduction task showed that tbi patients were as accurate as controls (Sd/Od ratio) and showed higher variability (cv) in their timing judgments, indicating dysfunction in maintaining a stable representation of temporal intervals. In the study conducted by Perbal et al. (2003), participants were also asked to perform a secondary (non-temporal) task together with the time reproduction task. Similar under-reproduction was observed in tbi patients and controls in both simple (time reproduction only) and concurrent (time reproduction + non-temporal task) conditions, in particular under the latter condition.
The studies conducted with a time production task confirmed and extended the results obtained with the time reproduction task. Again, tbi patients were as accurate as controls (Sd/Od ratio) and showed higher temporal variability (cv; Mioni et al., 2013b; Perbal et al., 2003). Regarding the impact of a concurrent non-temporal task, no effect was found (time production only vs. time production + non-temporal task) and this finding applies to both groups (i.e., tbi and controls). tbis and controls showed the same performances (Sd/Od ratio and cv) in both simple and concurrent conditions (Perbal et al., 2003).
Three studies were conducted with a verbal estimation task but performance was only analysed in two of them. Indeed, in Meyers and Levin’s (1992) study, performance at a verbal estimation task was not analysed due to the extreme variability noted in the tbi sample. Schmitter-Edgecombe and Rueda (2008), as well as Anderson and Schmitter-Edgecombe (2011), reported lower accuracy (|Sd-Od|), higher under-estimation (Sd/Od ratio), and more variability (i.e., cv) in tbi patients than controls.
In brief, tbi patients and controls showed similar performances (|Sd-Od| or Sd/Od ratio) when time reproduction and time production tasks are employed. However, tbi patients performed less accurately than controls when verbal estimation was used. Moreover, in all studies, variability is higher with tbi patients than with controls.
In sum, the revision of the existing literature investigating time perception in tbi patients showed that temporal dysfunctions in tbi patients were related to deficits in cognitive function involved in temporal processing such as working memory, attention, and executive function rather than an impairment in time estimation per se. In fact, temporal dysfunctions were observed when the tasks employed required high cognitive functions to be performed (Mioni, Mattalia, & Stablum, 2013a; Mioni, Stablum, & Cantagallo, 2013b). The consistent higher temporal variability observed is a sign of impaired frontally mediated cognitive functions that affect temporal representation.
6 Conclusions and Practical Considerations
This chapter provided a general overview of the typical perceptual timing tasks used under the prospective paradigm. The tasks that have been described were the time production, verbal estimation, and time reproduction tasks. Each of these tasks highlights different temporal characteristics and requires different cognitive processes. Briefly, time production and verbal estimation tasks are suitable methods for investigating individual differences in the speed rate of
Different factors should be taken into account when selecting a timing task. First of all, the temporal range is critical. Brief temporal ranges should be preferred to reduce additional cognitive factors that are required when performing long temporal intervals (i.e., attention and working memory). Moreover, a motor component can alter temporal performance in time production and time reproduction, when brief temporal intervals are employed. If longer temporal intervals are used (around 1.2 s), participants have the natural tendency to use strategies (i.e., counting) during the temporal task. Segmenting a long temporal interval using counting improves temporal performance, however in this case the results can be less interpreted as an index of temporal ability and more as an index of counting. To prevent participants from counting, various methodologies can be used, and simply asking participants not to count has been demonstrated as a good method to eliminate counting. Finally, this chapter briefly presented a review of the main findings observed in timing literature when pd and tbi patients are tested with some specific clinical and methodological suggestions.
Allman M. & C. Falter (2015). Abnormal timing and time perception in autism spectrum disorder? A review of the evidence. In Vatakis A. & M.J. Allman (Eds.). Time distortions in mind-temporal processing in clinical populations (pp. 37–56). Leiden, The Netherlands: Brill Academic Publishers
Anderson J.W. & M. Schmitter-Edgecombe (2011). Recovery of time estimtion following moderate to severe traumatic brain injury. Neuropsychology 2536–44.
Baudouin A. S. Vanneste M. Isingrini & V. Pouthas (2006). Differential involvement of internal clock and working memory in the production and reproduction of duration: A study on older adults. Acta Psychologica 121285–296.
Block R.A. (1990). Models of psychological time. In Block R.A. (Ed.) Cognitive models of psychological time (pp. 1–35). Hillsdale, nj: Lawrence Erlbaum Associates Inc.
Block R.A. & D. Zakay (1996). Models of psychological time revised. In Helfrich H. (Ed.) Time and mind (pp. 171–195). Kirkland, wa: Hogrefe and Huber.
Block R.A. D. Zakay & P.A. Hancock (1998). Human aging and duration judgments: A meta-analytic review. Psychology & Aging 13 584–596.
Block R.A. P.A. Hancock & D. Zakay (2010). How cognitive load affects duration judgments: A meta-analytic review. Acta Psychologica 134330–343.
Bloxham C.A. D.J. Dick & J.M. Mooret (1987). Reaction times and attention in Parkinson’s disease. Journal of Neurology Neurosurgery and Psychiatry 501178–1183.
Brown S.W. (1985). Time perception and attention: The effects of prospective versus retrospective paradigms and task demands on perceived duration. Perception & Psychophysics 38(2) 115–124.
Brown S.W. (1997). Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks. Perception & Psychophysics 591118–1140.
Brown S.W. (2008). Time and attention: Review of the literature. In Grondin S. (Ed.) Psychology of Time (pp. 111–138). Bingley, England: Emerald.
Brown S.W. & M.G. Boltz (2002). Attentional processes in time perception: Effects of mental workload and event structure. Journal of Experimental Psychology: Human Perception and Performance 28600–615.
Buhusi C.V. & W.H. Meck (2005). What makes us stick? Functional and neural mechanisms of interval timing. Nature Review Neuroscience 6755–765.
Caldara R. M.-P. Deiber C. Andrey G.M. Michel G. Thut & C.-A. Hauert (2004). Actual and mental motor preparation and execution: A spatiotemporal erp study. Experimental Brain Research 159389–399.
Cester I. G. Mioni & C. Cornoldi (2017). Time processing in children with mathematical difficulties. Learning and Individual Differences 5822–30.
Droit-Volet S. (2010). Stop using time reproduction tasks in a comparative perspective without further analyses of the role of the motor response: The example of children. European Journal of Cognitive Psychology 22(1) 130–148.
Gibbon J. R.M. Church & W.H. Meck (1984). Scalar timing in memory. In Gibbon J. & L.G. Allan (Eds.) Timing and time perception (pp. 52–77). New York: The New York Academy of Science.
Grondin S. (2003). Sensory modalities and temporal processing. In Helfrich H. (Ed.) Time and mind ii (pp. 61–77). Göttingen: Hogrefe & Huber.
Grondin S. (2008). Methods for studying psychological time. In Grondin S. (Ed.) Psychology of time (pp. 51–74). Bingley, uk: Emerald Group Publishing.
Grondin S. (2010). Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions. Attention Perception & Psychophysics 72(3) 561–582.
Grondin S. G. Meilleur-Wells & R. Lachance (1999). When to start explicit counting in a time-intervals discrimination task: A critical point in the timing process of humans. Journal of Experimental Psychology: Human Perception and Performance 25993–1004.
Grondin S. B. Ouellet & M.-E. Roussel (2004). Benefits and limits of explicit counting for discriminating temporal intervals. Canadian Journal Experimental Psychology 581–12.
Hart H. J. Radua D. Mataix-Cols & K. Rubia (2012). Meta-analysis of fMRI studies of timing in attention-deficit hyperactivity disorder (adhd). Neuroscience & Biobehavioral Reviews 36(10) 2248–2256.
Hellström Ǻ. & T.H. Rammsayer (2004). Effects of time-order, interstimulus interval, and feedback in duration discrimination of noise bursts in the 50- and 1000-ms ranges. Acta Psychologica 1161–20.
Jones C.R.G. & M. Jahanshahi (2014). Motor and perceptual timing in Parkinson’s disease. In Merchant H. & V. de Lafuente (Eds.) Neurobiology of interval timing. Advances in experimental medicine and biology (pp. 265–290). New York: Springer Verlag.
Jones C.R.G. T.J. Malone G. Dirnberger M. Edwards & M. Jahanshahi (2008). Basal ganglia, dopamine and temporal processing: Performance on three timing tasks on and off medication in Parkinson’s disease. Brain & Cognition 68(1) 30–41.
Karaminis T. G.M. Cicchini L. Neil G. Cappagli D. Aagten-Murphy D. Burr & E. Pellicano (2016). Central tendency effects in time interval reproduction in autism. Scientific Reports 28(6) 28570.
Lejeune H. & J.H. Wearden (2009). Vierordt’s the experimental study of the time sense (1868) and its legacy. European Journal of Cognitive Psychology 21941–960.
Lewis P.A. & R.C. Miall (2003). Distinct systems for automatic and cognitively controlled time measurement: Evidence from neuroimaging. Current Opinion in Neurobiology 13250–255.
Litvan I. J.G. Goldman A.I. Tröster B.A. Schmand D. Weintraub R.C. Petersen B. Mollenhauer C.H. Adler K. Marder C.H. Williams-Gray D. Aarsland J. Kulisevsky M.C. Rodriguez-Oroz D.J. Burn R.A. Barker & M. Emre (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement disorder society task force guidelines. Movement Disorders 27(3) 349–356.
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, Litvan I. , J.G. Goldman , A.I. Tröster , B.A. Schmand , D. Weintraub , R.C. Petersen , B. Mollenhauer , C.H. Adler , K. Marder , C.H. Williams-Gray , D. Aarsland , J. Kulisevsky , M.C. Rodriguez-Oroz , D.J. Burn , & R.A. Barker ( M. Emre 2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement disorder society task force guidelines. , ( 27 3), 349– 356.
Malapani C. B. Rakitin R. Levy W.H. Meck B. Deweer B. Dubois & J. Gibbon (1998). Coupled temporal memories in Parkinson’s disease: A dopamine-related dysfunction. Journal of Cognitive Neuroscience 10(3) 316–331
Malapani C. B. Deweer & J. Gibbon (2002). Separating storage from retrieval dysfunction of temporal memory in Parkinson’s disease. Journal of Cognitive Neuroscience 14(2) 311–322.
Merchant H. M. Luciana C. Hooper S. Majestic & P. Tuite (2008). Interval timing and Parkinson’s disease: Heterogeneity in temporal performance. Experimental Brain Research 184(2) 233–248.
Meyers C.A. & H.S. Levin (1992). Temporal perception following closed head injury: Relationship of orientation and attention span. Neuropsychiatry Neuropsychology and Behavioral Neurology 128–32.
Mioni G. F. Stablum M.S. McClintock & A. Cantagallo (2012). Time-based prospective memory in severe traumatic brain in jury patients: The involvement of executive functions and time perception. Journal of International Neuropsychology Society 18697–705.
Mioni G. G. Mattalia & F. Stablum (2013a). Time perception in severe traumatic brain injury patients: A study comparing different methodologies. Brain & Cognition 81305–312.
Mioni G. F. Stablum & A. Cantagallo (2013b). Time discrimination in traumatic brain injury patients. Journal of Clinical Experimental Neuropsychology 3590–102.
Mioni G. S. Grondin & F. Stablum (2014a). Temporal dysfunction in traumatic brain injury patients: Primary or secondary impairment? Frontiers in Human Neuroscience 8(269).
Mioni G. F. Stablum & S. Grondin (2014b). Interval discrimination across different duration ranges with a look at spatial compatibility and context effects. Frontiers in Psychology 5(717).
Mioni G. F. Stablum S.M. McClintock & S. Grondin (2014c). Different methods for reproducing time, different results. Attention Perception & Psychophysics 76 675–681.
Mioni G. L. Meligrana S. Grondin F. Perini L. Bartolomei & F. Stablum (2015). Effects of emotional facial expression on time perception in patients with Parkinson’s disease. Journal of the International Neuropsychological Society 22(9) 890–899.
Mioni G. M. Grassi V. Tarantino F. Stablum S. Grondin & P.S. Bisiacchi (2016a). The impact of a concurrent motor task on auditory and visual temporal discrimination tasks. Attention Perception & Psychophysics 78742–748.
Mioni G. F. Stablum E. Prunetti & S. Grondin (2016b). Time perception in anxious and depressed patients: A comparison between time reproduction and time production tasks. Journal of Affective Disorders 196 154–163.
Mioni G. S. Grondin L. Meligrana F. Perini L. Bartolomei & F. Stablum (2017). Effects of happy and sad facial expressions on the perception of time in Parkinson’s disease patients with mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology 221–16.
Perbal S. J. Couillet P. Azouvi & V. Pouthas (2003). Relationship between time estimation, memory, attention, and processing speed in patients with severe traumatic brain injury. Neuropsychologia 411599–1610.
Perbal S. B. Deweer B. Pillon M. Vidailhet B. Dubois & V. Pouthas (2005). Effects of internal clock and memory disorders on duration reproductions and duration productions in patients with Parkinson’s disease. Brain & Cognition 58(1) 35–48.
Piras F. F. Piras V. Ciullo E. Danese C. Caltagirone & G. Spalletta (2014). Time dysperception perspective for acquired brain injury. Frontiers in Neurology 4217.
Rammsayer T.H. (2008). Neuropharmacological approaches to human timing. In Grondin S. (Ed.) Psychology of Time (pp. 295–320). Bingley: Emerald Group.
Rattat A.C. & S. Droit-Volet (2012). What is the best and easiest method of preventing counting in different temporal tasks? Behavioural Research Methods 44(1) 67–80.
Schmitter-Edgecombe M. & A.D. Rueda (2008). Time estimation and episodic memory following traumatic brain injury. Journal of Clinical Experimental Neuropsychology 30 212–223.
Stuss D.T. L. Stethem H. Hugenholtz T. Picton J. Pivik & M.T. Richard (1989). Reaction time after head injury: Fatigue, divided and focused attention, and consistency of performance. Journal of Neurology Neurosurgery and Psychiatry 52742–748.
Thoenes S. & D. Oberfeld (2017). Meta-analysis of time perception and temporal processing in schizophrenia: Differential effects on precision and accuracy. Clinical Psychology Review5444–64.
Toplak M.E. C. Dockstader & R. Tannock (2006). Temporal information processing in adhd: Findings to-date and new methods. Journal of Neuropsychological Methods 1515–29.
Triesman M. (1963). Temporal discrimination and the indifference interval. Implication for model of the “internal clock”. Psychological Monographs 771–31.
Ulrich R. J. Nitschke & T. Rammsayer (2006). Crossmodal temporal discrimination: Assessing the predictions of a general pacemaker-counter model. Perception & Psychophysics 681140–1152.
Zakay D. (1990). The evasive art of subjective time measurement: Some methodological dilemmas. In Block R.A. (Ed.) Cognitive models of psychological time (pp. 59–84). Lawrence Erlbaum Associates.
Zakay D. & R.A. Block (1996). The role of attention in time estimation processes. In Pastor M.A. & J. Artieda (Eds.) Time internal clocks and movement (pp. 143–163). Amsterdam: Elsevier.
Zakay D. & R.A. Block (2004). Prospective and retrospective duration judgments: An executive-control perspective. Acta Neurobiologiae Experimentalis 64319–328.