Time-perception network and default mode network are associated with temporal prediction in a periodic motion task
The updating of prospective internal models is necessary to accurately predict future observations. Uncertainty-driven internal model updating has been studied using a variety of perceptual paradigms, and have revealed engagement of frontal and parietal areas. In a distinct literature, studies on te...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-06-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00268/full |
| _version_ | 1818191103880331264 |
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| author | Fabiana Mesquita Carvalho Khallil Taverna Chaim Tiago Arruda Sanchez Draulio Barros de Araujo |
| author_facet | Fabiana Mesquita Carvalho Khallil Taverna Chaim Tiago Arruda Sanchez Draulio Barros de Araujo |
| author_sort | Fabiana Mesquita Carvalho |
| collection | DOAJ |
| description | The updating of prospective internal models is necessary to accurately predict future observations. Uncertainty-driven internal model updating has been studied using a variety of perceptual paradigms, and have revealed engagement of frontal and parietal areas. In a distinct literature, studies on temporal expectations have also characterized a time-perception network, which relies on temporal orienting of attention. However, the updating of prospective internal models is highly dependent on temporal attention, since temporal attention must be reoriented according to the current environmental demands. In this study we used fMRI to evaluate to what extend the continuous manipulation of temporal prediction would recruit update-related areas and the time-perception network areas. We developed an exogenous temporal task that combines rhythm cueing and time-to-contact principles to generate implicit temporal expectation. Two patterns of motion were created: periodic (simple harmonic oscillation) and non-periodic (harmonic oscillation with variable acceleration). We found that non-periodic motion engaged the exogenous temporal orienting network, which includes the ventral premotor and inferior parietal cortices, and the cerebellum, as well as the presupplementary motor area, which has previously been implicated in internal model updating, and the motion-sensitive area MT+. Interestingly, we found a right-hemisphere preponderance suggesting the engagement of explicit timing mechanisms. We also show that the periodic motion condition, when compared to the non-periodic motion, activated a particular subset of the default-mode network (DMN) midline areas, including the left dorsomedial prefrontal cortex, anterior cingulate cortex, and bilateral posterior cingulate cortex/precuneus. It suggests that the DMN plays a role in processing contextually expected information and supports recent evidence that the DMN may reflect the validation of prospective internal models and predictive control. Taken together, our findings suggest that continuous manipulation of temporal predictions engages representations of temporal prediction as well as task-independent updating of internal models. |
| first_indexed | 2024-12-12T00:09:18Z |
| format | Article |
| id | doaj.art-54668184d635458487af037aea91d46b |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-12T00:09:18Z |
| publishDate | 2016-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-54668184d635458487af037aea91d46b2022-12-22T00:45:02ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612016-06-011010.3389/fnhum.2016.00268196110Time-perception network and default mode network are associated with temporal prediction in a periodic motion taskFabiana Mesquita Carvalho0Khallil Taverna Chaim1Tiago Arruda Sanchez2Draulio Barros de Araujo3University of Sao Paulo (USP)University of Sao Paulo (USP)Federal University of Rio de Janeiro (UFRJ)Federal University of Rio Grande do Norte (UFRN)The updating of prospective internal models is necessary to accurately predict future observations. Uncertainty-driven internal model updating has been studied using a variety of perceptual paradigms, and have revealed engagement of frontal and parietal areas. In a distinct literature, studies on temporal expectations have also characterized a time-perception network, which relies on temporal orienting of attention. However, the updating of prospective internal models is highly dependent on temporal attention, since temporal attention must be reoriented according to the current environmental demands. In this study we used fMRI to evaluate to what extend the continuous manipulation of temporal prediction would recruit update-related areas and the time-perception network areas. We developed an exogenous temporal task that combines rhythm cueing and time-to-contact principles to generate implicit temporal expectation. Two patterns of motion were created: periodic (simple harmonic oscillation) and non-periodic (harmonic oscillation with variable acceleration). We found that non-periodic motion engaged the exogenous temporal orienting network, which includes the ventral premotor and inferior parietal cortices, and the cerebellum, as well as the presupplementary motor area, which has previously been implicated in internal model updating, and the motion-sensitive area MT+. Interestingly, we found a right-hemisphere preponderance suggesting the engagement of explicit timing mechanisms. We also show that the periodic motion condition, when compared to the non-periodic motion, activated a particular subset of the default-mode network (DMN) midline areas, including the left dorsomedial prefrontal cortex, anterior cingulate cortex, and bilateral posterior cingulate cortex/precuneus. It suggests that the DMN plays a role in processing contextually expected information and supports recent evidence that the DMN may reflect the validation of prospective internal models and predictive control. Taken together, our findings suggest that continuous manipulation of temporal predictions engages representations of temporal prediction as well as task-independent updating of internal models.http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00268/fullAttentionfMRIinternal modelTemporal Predictiontemporal expectation |
| spellingShingle | Fabiana Mesquita Carvalho Khallil Taverna Chaim Tiago Arruda Sanchez Draulio Barros de Araujo Time-perception network and default mode network are associated with temporal prediction in a periodic motion task Frontiers in Human Neuroscience Attention fMRI internal model Temporal Prediction temporal expectation |
| title | Time-perception network and default mode network are associated with temporal prediction in a periodic motion task |
| title_full | Time-perception network and default mode network are associated with temporal prediction in a periodic motion task |
| title_fullStr | Time-perception network and default mode network are associated with temporal prediction in a periodic motion task |
| title_full_unstemmed | Time-perception network and default mode network are associated with temporal prediction in a periodic motion task |
| title_short | Time-perception network and default mode network are associated with temporal prediction in a periodic motion task |
| title_sort | time perception network and default mode network are associated with temporal prediction in a periodic motion task |
| topic | Attention fMRI internal model Temporal Prediction temporal expectation |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00268/full |
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