Neural Mechanisms Underlying Time Perception and Reward Anticipation

Apaydın, Nihal; Üstün, Sertaç; Kale, Emre H.; Çelikağ, İpek; Özgüven, Halise Devrimci; Başkak, Bora; Çíçek, Metehan

doi:10.3389/fnhum.2018.00115

Cited by 34 publications

(36 citation statements)

References 55 publications

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“…Finally, the supraperceptual condition is more correlated with the subperceptual than the supramotor. Coull et al (2000) 1 focus from Smith et al (2011) 1 focus from Apaydın et al (2018) 1 focus from Morillon et al (2009) For each cluster brain regions, cluster size (mm 3 ), side (hemisphere), ALE value, Talairach coordinates, and contributors to cluster (foci) were provided. BA = Brodmann's area; L = left; R = right.…”

Section: Correlation Between Maps and Voxels' Contribution To Correlamentioning

confidence: 99%

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The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies

Nani

Manuello

Liloia

et al. 2019

Journal of Cognitive Neuroscience

104

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During the last two decades, our inner sense of time has been repeatedly studied with the help of neuroimaging techniques. These investigations have suggested the specific involvement of different brain areas in temporal processing. At least two distinct neural systems are likely to play a role in measuring time: One is mainly constituted of subcortical structures and is supposed to be more related to the estimation of time intervals below the 1-sec range (subsecond timing tasks), and the other is mainly constituted of cortical areas and is supposed to be more related to the estimation of time intervals above the 1-sec range (suprasecond timing tasks). Tasks can then be performed in motor or nonmotor (perceptual) conditions, thus providing four different categories of time processing. Our meta-analytical investigation partly confirms the findings of previous meta-analytical works. Both sub- and suprasecond tasks recruit cortical and subcortical areas, but subcortical areas are more intensely activated in subsecond tasks than in suprasecond tasks, which instead receive more contributions from cortical activations. All the conditions, however, show strong activations in the SMA, whose rostral and caudal parts have an important role not only in the discrimination of different time intervals but also in relation to the nature of the task conditions. This area, along with the striatum (especially the putamen) and the claustrum, is supposed to be an essential node in the different networks engaged when the brain creates our sense of time.

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Section: Correlation Between Maps and Voxels' Contribution To Correlamentioning

confidence: 99%

“…(Exp. B) 1 focus fromApaydın et al (2018) foci fromUstun et al (2017) 1 focus fromRao et al (2001) (Exp. A) foci fromJueptner et al (1996) 1 focus fromRao et al (2001) (Exp.…”

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confidence: 99%

The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies

Nani

Manuello

Liloia

et al. 2019

Journal of Cognitive Neuroscience

104

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“…In particular, the parietal cortex has been implicated in reconstructing sequences of spatio-temporal events and their temporal ordering (15,16,91,92). In conjunction with hippocampus as well as insular and prefrontal cortices, the parietal lobes participate in a distributed neural network that accesses and manipulates the mental timeline according to salience and behavioral context (82,93,94). This network further overlaps core elements of the default mode network which integrates information about current bodily states and memories with incoming sensory traffic.…”

Section: Discussionmentioning

confidence: 99%

Altered Time Awareness in Dementia

et al. 2020

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Our awareness of time, specifically of longer intervals spanning hours, days, months, and years, is critical for ensuring our sense of self-continuity. Disrupted time awareness over such intervals is a clinical feature in a number of frontotemporal dementia syndromes and Alzheimer's disease, but has not been studied and compared systematically in these diseases. We used a semi-structured caregiver survey to capture time-related behavioral alterations in 71 patients representing all major sporadic and genetic syndromes of frontotemporal dementia, in comparison to 28 patients with typical Alzheimer's disease and nine with logopenic aphasia, and 32 healthy older individuals. Survey items pertained to apparent difficulties ordering past personal events or estimating time intervals between events, temporal rigidity and clockwatching, and propensity to relive past events. We used a logistic regression model including diagnosis, age, gender, and disease severity as regressors to compare the proportions of individuals exhibiting each temporal awareness symptom between diagnostic groups. Gray matter associations of altered time awareness were assessed using voxel-based morphometry. All patient groups were significantly more prone to exhibit temporal awareness symptoms than healthy older individuals. Clinical syndromic signatures were identified. While patients with typical and logopenic Alzheimer's disease most frequently exhibited disturbed event ordering or interval estimation, patients with semantic dementia were most prone to temporal rigidity and clockwatching and those with behavioral variant frontotemporal dementia commonly exhibited all these temporal symptoms as well as a propensity to relive past events. On voxel-based morphometry, the tendency to relive past events was associated with relative preservation of a distributed left-sided temporo-parietal gray matter network including hippocampus. These findings reveal a rich and complex picture of disturbed temporal awareness in major dementia syndromes, with stratification of frontotemporal dementia syndromes from Alzheimer's disease. This is the first study to assess symptoms of altered temporal awareness across frontotemporal dementia syndromes and provides a motivation for future work directed to the development of validated clinical questionnaires, analysis of underlying neurobiological mechanisms and design of interventions.

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“…Çalışmalarda algıyla ilgili sağ prefrontal korteks, paryetal korteks, supplementer motor alan gibi kortikal beyin bölgelerinin yanında serebellum ve bazal ganglia gibi subkortikal bölgelerin aktive olduğu sıklıkla ortaya çıkmıştır (2,6,7). Laboratuvarımızda daha önce yapılan görüntüleme çalışmaları da literatürle uyumlu bir biçimde frontoparyetal bir ağın ve subkortikal bölgelerin zaman algısı görevlerinde aktive olduğunu göstermiştir (22)(23)(24). Bu bulgular, zaman algısının beyinde geniş bölgere yayılan nöral devrelerin birlikte çalışması ile gerçekleştiğini gösterir niteliktedir.…”

Section: Discussionunclassified

“…Bu bulgular, zaman algısının beyinde geniş bölgere yayılan nöral devrelerin birlikte çalışması ile gerçekleştiğini gösterir niteliktedir. Ayrıca yine laboratuvarımızda yapılan çalışmalarda zaman algısının çalışma belleği, ödül sistemi ve duygular ile etkileşim içerisinde olan karmaşık bir bilişsel süreç olduğu ortaya çıkarılmıştır (22)(23)(24). Genel itibariyle bazal ganglia, supplementer motor alan temel zaman bilgisini üreten mekanizmalarla ilişkilendirilmektedir.…”

Section: Discussionunclassified

Evaluation of Time and Color Perception in Children and Adults

Üstün¹,

Akın²,

Akın³

et al. 2019

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The study aimed to compare the time and color perception among adults and children to reveal the age-dependent change of the time perception. Materials and Methods: The children (n=30; age: 7-12, 50% female) and the adults (n=30, age: 20-25, 60% female) were selected randomly to participate to the study. To evaluate the time and color perception ''Foreperiod Task'' which was designed via MATLAB software was used. The percentage of correct responses and reaction times of participants were obtained to evaluate participants' performance. Results: The percentage of correct responses and reaction times data were analyzed with two-way ANOVA separately. For the percentage of correct response; task effect (F=83.56, p<0.001), group effect (F=94.34, p<0.001) and task-group interaction (F=7.56, p<0.05) were significant. For the reaction time; group effect was significant (F=22.09 p<0.001). Task effect and interaction of task-group were not significant. Reaction times in time and color perception tasks were not different from each other both in adult groups and children groups (p>0.05). However, the percentage of correct responses for the two tasks differed significantly in both groups (for children: t=5.5, p<0.001; for adults: t=8.3, p<0.001). Conclusion: Performance score of the children was lower than adults in both tasks. Participants' time perception performances were lower than their color perception and this performance difference was more distinct in children compared to adults. These results indicate that the development of time perception in children is slower than color perception. The fact that relatively complex neural networks are involved for the timing process in the brain might be the reason for the slow development of the time perception.

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Neural Mechanisms Underlying Time Perception and Reward Anticipation

Cited by 34 publications

References 55 publications

The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies

The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies

Altered Time Awareness in Dementia

Evaluation of Time and Color Perception in Children and Adults

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