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Single-Domain Task Battery (SDTB)
on Temporal Prediction
An fMRI study
Ana Luísa Pinho
30th
of March 2022
Grahn labmeeting
Motivation of the project
Anticipation of the timing of future events based on the temporal regularities of past events
What does “temporal prediction” stand for?
What are “temporal predictions” important for?
Key to attentional-orienting processes
What is the fundamental question?
Assess whether temporal predictions are mediated by a context-specific or a common
neurocognitive mechanism
2/15
Formation of Temporal Predictions
●
(Quasi)-periodic stimulus stream
●
Aperiodic stimulus stream
Ex: speech, music or biological motion
Ex: single interval of two consecutive events
3/15
Three different models
• Model 1: Periodic prediction reflects repeated application of single-interval
prediction
• Model 2: Single-interval prediction reflects alignment of a single periodic cycle
• Model 3: Periodic and single-interval prediction mechanisms coexist and are
engaged in a context-dependent manner.
4/15
Testing Model 3: a behavioral study
Breska, A and Ivry, RB (2018) - Double dissociation of single-interval and rhythmic
temporal prediction in cerebellar degeneration and Parkinson’s disease, PNAS
●
Explicit timing tasks
●
Role of sub-cortical regions in temporal processing
●
Basal Ganglia rhythmic judgments
●
Cerebellum single-interval judgments
5/15
Breska&Ivry (2018) study: outline
• Neuropsychological approach
• 48 participants
• 13 patients with Cerebellar Degeneration (CD)
• 12 patients with Parkinson Disease (PD)
• 23 healthy individuals
• Judgment of sub-second intervals:
• Consistent results for attentional orienting in time
• Critical role of the cerebellum in sub-second timing
6/15
Breska&Ivry (2018) study: exp. design
7/15
Breska&Ivry (2018)
study: results
Yes No
No Yes
Rhythmic
Single-interval
CD PD
Benefit or not?
8/15
●
Double dissociation provides causal evidence for functionally non-overlapping
mechanisms of rhythm and interval-based temporal predictions.
●
Separate contributions of the Cerebellum and Basal Ganglia, which suggests a
mechanistic specialization across timing domains.
Breska&Ivry (2018) study: conclusions
9/15
●
FMRI study employing Breska&Ivry (2018) approach to investigate the neural
correlates associated with the contributions of the Cerebellum and Basal Ganglia
●
Use different sensory modalities to characterize the relationship of these sub-cortical
contributions with the cortex
SDTB study: goals
10/15
SDTB study: tasks
• Participants with no clinical profile
• 4 tasks modulating timing and sensory domains
• Timing: Production and Perception
• Sensory: Auditory and Visual
• 2 main conditions for every task
• Beat condition
• Interval condition
11/15
SDTB study: production tasks
Beat
Interval
= 100ms
or
500ms 500ms
2000ms 2000ms
500ms 500ms
2600ms 1400ms
ISI 1 ISI 2 ISI 3 ISI 4
ISI 1 ISI 2 ISI 3 ISI 4
ISI 1, ISI 3∈[250,1000]
ISI 2,ISI 4∈[1500 ,2250]
ISI 1, ISI 3∈[250,1000]
ISI 2,ISI 4∈[500 ,4000]
...
Baseline
...
Baseline
12/15
SDTB study: perception tasks
Beat
Interval
= 100ms
or
500ms 500ms
2000ms 2000ms
500ms 500ms
1100ms 2900ms
ISI 1 ISI 2 ISI 3 ISI 4
ISI 1 ISI 2 ISI 3 ISI 4
ISI 1, ISI 3, ISI 5∈[250,1000]
ISI 2,ISI 4∈[1500 ,2250]
ISI 1, ISI 3, ISI 5∈[250,1000]
ISI 2,ISI 4∈[500 ,4000]
...
Baseline
...
Baseline
ISI 3 < ISI 5
or
ISI 3 > ISI 5
700ms
ISI 5
ISI 5
950ms
?
ISI 3 < ISI 5
or
ISI 3 > ISI 5 ?
13/15
●
Structure of the tasks?
●
Include another task category with a non-temporal feature discrimination response?
WDYT?
14/15
twitter.com/ALuisaPinho agrilopi@uwo.ca
Thank you!

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Single-Domain Task Battery (SDTB) on Temporal Prediction

  • 1. Single-Domain Task Battery (SDTB) on Temporal Prediction An fMRI study Ana Luísa Pinho 30th of March 2022 Grahn labmeeting
  • 2. Motivation of the project Anticipation of the timing of future events based on the temporal regularities of past events What does “temporal prediction” stand for? What are “temporal predictions” important for? Key to attentional-orienting processes What is the fundamental question? Assess whether temporal predictions are mediated by a context-specific or a common neurocognitive mechanism 2/15
  • 3. Formation of Temporal Predictions ● (Quasi)-periodic stimulus stream ● Aperiodic stimulus stream Ex: speech, music or biological motion Ex: single interval of two consecutive events 3/15
  • 4. Three different models • Model 1: Periodic prediction reflects repeated application of single-interval prediction • Model 2: Single-interval prediction reflects alignment of a single periodic cycle • Model 3: Periodic and single-interval prediction mechanisms coexist and are engaged in a context-dependent manner. 4/15
  • 5. Testing Model 3: a behavioral study Breska, A and Ivry, RB (2018) - Double dissociation of single-interval and rhythmic temporal prediction in cerebellar degeneration and Parkinson’s disease, PNAS ● Explicit timing tasks ● Role of sub-cortical regions in temporal processing ● Basal Ganglia rhythmic judgments ● Cerebellum single-interval judgments 5/15
  • 6. Breska&Ivry (2018) study: outline • Neuropsychological approach • 48 participants • 13 patients with Cerebellar Degeneration (CD) • 12 patients with Parkinson Disease (PD) • 23 healthy individuals • Judgment of sub-second intervals: • Consistent results for attentional orienting in time • Critical role of the cerebellum in sub-second timing 6/15
  • 7. Breska&Ivry (2018) study: exp. design 7/15
  • 8. Breska&Ivry (2018) study: results Yes No No Yes Rhythmic Single-interval CD PD Benefit or not? 8/15
  • 9. ● Double dissociation provides causal evidence for functionally non-overlapping mechanisms of rhythm and interval-based temporal predictions. ● Separate contributions of the Cerebellum and Basal Ganglia, which suggests a mechanistic specialization across timing domains. Breska&Ivry (2018) study: conclusions 9/15
  • 10. ● FMRI study employing Breska&Ivry (2018) approach to investigate the neural correlates associated with the contributions of the Cerebellum and Basal Ganglia ● Use different sensory modalities to characterize the relationship of these sub-cortical contributions with the cortex SDTB study: goals 10/15
  • 11. SDTB study: tasks • Participants with no clinical profile • 4 tasks modulating timing and sensory domains • Timing: Production and Perception • Sensory: Auditory and Visual • 2 main conditions for every task • Beat condition • Interval condition 11/15
  • 12. SDTB study: production tasks Beat Interval = 100ms or 500ms 500ms 2000ms 2000ms 500ms 500ms 2600ms 1400ms ISI 1 ISI 2 ISI 3 ISI 4 ISI 1 ISI 2 ISI 3 ISI 4 ISI 1, ISI 3∈[250,1000] ISI 2,ISI 4∈[1500 ,2250] ISI 1, ISI 3∈[250,1000] ISI 2,ISI 4∈[500 ,4000] ... Baseline ... Baseline 12/15
  • 13. SDTB study: perception tasks Beat Interval = 100ms or 500ms 500ms 2000ms 2000ms 500ms 500ms 1100ms 2900ms ISI 1 ISI 2 ISI 3 ISI 4 ISI 1 ISI 2 ISI 3 ISI 4 ISI 1, ISI 3, ISI 5∈[250,1000] ISI 2,ISI 4∈[1500 ,2250] ISI 1, ISI 3, ISI 5∈[250,1000] ISI 2,ISI 4∈[500 ,4000] ... Baseline ... Baseline ISI 3 < ISI 5 or ISI 3 > ISI 5 700ms ISI 5 ISI 5 950ms ? ISI 3 < ISI 5 or ISI 3 > ISI 5 ? 13/15
  • 14. ● Structure of the tasks? ● Include another task category with a non-temporal feature discrimination response? WDYT? 14/15