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Music Single-Domain Task Battery (Music-SDTB)
Probing the Neurocognitive Mechanisms of Temporal Predictions
Ana Luísa Pinho
24th
of October 2022
Diedrichsenlab meeting
Motivation of the project
Anticipation of the timing of future events based on the temporal regularities of past events
What does temporal predictions stand for?
What are temporal predictions important for?
Key to attentional-orienting processes
What is the goal?
Verify the context-specific, neurocognitive-mechanism hypothesis with neuroimaging
Formation of Temporal Predictions
1 (Quasi)-periodic stimulus stream
2 Aperiodic stimulus stream
Ex: speech, music or biological motion
Ex: single interval of two consecutive events
Categories Models
1 Single-interval prediction
2 Periodic + Single-interval prediction
Formation of Temporal Predictions
1 (Quasi)-periodic stimulus stream
2 Aperiodic stimulus stream
Ex: speech, music or biological motion
Ex: single interval of two consecutive events
Categories Models
1 Single-interval prediction
Context-dependent
2 Periodic + Single-interval prediction
Formation of Temporal Predictions
1 (Quasi)-periodic stimulus stream
2 Aperiodic stimulus stream
Ex: speech, music or biological motion
Ex: single interval of two consecutive events
Categories Models
1 Single-interval prediction
Context-dependent
2 Periodic + Single-interval prediction
Subserved by two subcortical networks
Testing Model 2: a neuropsychological study
Breska, A and Ivry, RB (2018) - Double dissociation of single-interval and rhythmic
temporal prediction in cerebellar degeneration and Parkinson’s disease, PNAS
● Timing task with overt responses
● Clinical population: Parkinson’s disease + Cerebellar degeneration patients
● Basal Ganglia rhythmic judgments
● Cerebellum single-interval judgments
● Identify the contributions of Basal Ganglia and Cerebellum to form temporal
predictions in the context of rhythmic and non-rhythmic sequences of events
Music-SDTB: outline
● Identify the contributions of Basal Ganglia and Cerebellum to form temporal
predictions in the context of rhythmic and non-rhythmic sequences of events
● Use different sensory modalities —audio and visual— to characterize the
relationship of these sub-cortical contributions with the cortex
Music-SDTB: outline
● Identify the contributions of Basal Ganglia and Cerebellum to form temporal
predictions in the context of rhythmic and non-rhythmic sequences of events
● Use different sensory modalities —audio and visual— to characterize the
relationship of these sub-cortical contributions with the cortex
Music-SDTB: outline
• 25 participants with no clinical profile
• 6 tasks modulating timing and sensory domains
• Timing: Production, Perception, NTFD
• Sensory: Auditory and Visual
• 2 main conditions for every task
• Beat condition
• Interval condition
● Identify the contributions of Basal Ganglia and Cerebellum to form temporal
predictions in the context of rhythmic and non-rhythmic sequences of events
● Use different sensory modalities —audio and visual— to characterize the
relationship of these sub-cortical contributions with the cortex
Music-SDTB: outline
• 25 participants with no clinical profile
• 6 tasks modulating timing and sensory domains
• Timing: Production, Perception, NTFD
• Sensory: Auditory and Visual
• 2 main conditions for every task
• Beat condition
• Interval condition
Behavior
● Identify the contributions of Basal Ganglia and Cerebellum to form temporal
predictions in the context of rhythmic and non-rhythmic sequences of events
● Use different sensory modalities —audio and visual— to characterize the
relationship of these sub-cortical contributions with the cortex
Music-SDTB: outline
• 25 participants with no clinical profile
• 6 tasks modulating timing and sensory domains
• Timing: Production, Perception, NTFD
• Sensory: Auditory and Visual
• 2 main conditions for every task
• Beat condition
• Interval condition
Behavior
fMRI
Music SDTB: a deep behavioral-phenotyping study
Music SDTB: tasks and hypotheses
Production Perception NTFD*
*NTFD = Non-Temporal Feature Discrimination
Basal Ganglia Cerebellum
Music SDTB: tasks and hypotheses
Production Perception NTFD*
*NTFD = Non-Temporal Feature Discrimination
H1
Basal Ganglia Cerebellum
Music SDTB: tasks and hypotheses
Production Perception NTFD*
*NTFD = Non-Temporal Feature Discrimination
H2
Basal Ganglia Cerebellum
Music SDTB: tasks and hypotheses
Production Perception NTFD*
*NTFD = Non-Temporal Feature Discrimination
H3
Basal Ganglia Cerebellum
Music SDTB: Production tasks
Beat
Interval
Standard∈{459,510 ,561,612,663}
...
Baseline
...
Baseline
ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)]
ISIB=3(Standard)
Standard ISIB Standard ISIB
Standard ISII Standard ISII
= 80ms
or
Music SDTB: Perception tasks
Beat
Interval
...
Baseline
Standard ISIB Standard ISIB Comparison
Standard∈{459,510 ,561,612,663}
ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)]
Comparison=Standard (1+d)
ISIB=3(Standard)
Standard ISII Standard ISII Comparison
...
Baseline
ISIB > or <
Comparison?
ISIB > or <
Comparison?
= 80ms
or
Beat
Interval
= 80ms
or
Music SDTB: NTFD tasks
Standard ISIB Standard ISIB Standard
Standard ISII Standard ISII Standard
Higher or Lower?
Circle or Triangle?
Higher or Lower?
Circle or Triangle?
Standard∈{459,510 ,561,612,663}
ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)]
ISIB=3(Standard)
...
Baseline
...
Baseline
Behavioral Results
● 25 Participants
● 3 Sessions
➔ 1st
Session: 24 runs (4 runs per task)
➔ 2nd
and 3rd
Sessions: 28 runs (4 runs for Production + NTFD and 6 runs for Perception)
Behavioral Results
● 25 Participants
● 3 Sessions
➔ 1st
Session: 24 runs (4 runs per task)
➔ 2nd
and 3rd
Sessions: 28 runs (4 runs for Production + NTFD and 6 runs for Perception)
● Validate the tasks
● Assess complexity: between Conditions and Modalities
● Preliminary validation of our hypothesis
Condition:
Modality:
Benefit of Audio over Visual
SA=
Response−Standard
Standard
AA=|Response−Standard
Standard |
Condition: Validates H1 and H3
Modality: AA shows benefit of Audio over Visual
PSE indexes bias
Psychometric Function to dissociate
bias from variability from our
measurements of performance
DL indexes variability
PSE: bias shorter for longer Standards
Two-way repeated measures ANOVA
Perception Tasks
Two-way repeated measures ANOVA
● No effect of DL for Conditions
but for Standard = 612
Perception Tasks
Two-way repeated measures ANOVA
● Significant effect of DL for Modality
● No effect of DL for Conditions
but for Standard = 612
Perception Tasks
Two-way repeated measures ANOVA
● Significant effect of DL for Modality
● Interaction between Visual
Modality and Conditions
● No effect of DL for Conditions
but for Standard = 612
Perception Tasks
Benefit of Visual over Audio
Aligns w/ results of SA for Production Tasks
Modality:
Condition:
twitter.com/ALuisaPinho agrilopi@uwo.ca
Thank you! Scenes of the next episode:

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Music SDTB: Probing the Neurocognitive Mechanisms of Temporal Predictions

  • 1. Music Single-Domain Task Battery (Music-SDTB) Probing the Neurocognitive Mechanisms of Temporal Predictions Ana Luísa Pinho 24th of October 2022 Diedrichsenlab meeting
  • 2. Motivation of the project Anticipation of the timing of future events based on the temporal regularities of past events What does temporal predictions stand for? What are temporal predictions important for? Key to attentional-orienting processes What is the goal? Verify the context-specific, neurocognitive-mechanism hypothesis with neuroimaging
  • 3. Formation of Temporal Predictions 1 (Quasi)-periodic stimulus stream 2 Aperiodic stimulus stream Ex: speech, music or biological motion Ex: single interval of two consecutive events Categories Models 1 Single-interval prediction 2 Periodic + Single-interval prediction
  • 4. Formation of Temporal Predictions 1 (Quasi)-periodic stimulus stream 2 Aperiodic stimulus stream Ex: speech, music or biological motion Ex: single interval of two consecutive events Categories Models 1 Single-interval prediction Context-dependent 2 Periodic + Single-interval prediction
  • 5. Formation of Temporal Predictions 1 (Quasi)-periodic stimulus stream 2 Aperiodic stimulus stream Ex: speech, music or biological motion Ex: single interval of two consecutive events Categories Models 1 Single-interval prediction Context-dependent 2 Periodic + Single-interval prediction Subserved by two subcortical networks
  • 6. Testing Model 2: a neuropsychological study Breska, A and Ivry, RB (2018) - Double dissociation of single-interval and rhythmic temporal prediction in cerebellar degeneration and Parkinson’s disease, PNAS ● Timing task with overt responses ● Clinical population: Parkinson’s disease + Cerebellar degeneration patients ● Basal Ganglia rhythmic judgments ● Cerebellum single-interval judgments
  • 7. ● Identify the contributions of Basal Ganglia and Cerebellum to form temporal predictions in the context of rhythmic and non-rhythmic sequences of events Music-SDTB: outline
  • 8. ● Identify the contributions of Basal Ganglia and Cerebellum to form temporal predictions in the context of rhythmic and non-rhythmic sequences of events ● Use different sensory modalities —audio and visual— to characterize the relationship of these sub-cortical contributions with the cortex Music-SDTB: outline
  • 9. ● Identify the contributions of Basal Ganglia and Cerebellum to form temporal predictions in the context of rhythmic and non-rhythmic sequences of events ● Use different sensory modalities —audio and visual— to characterize the relationship of these sub-cortical contributions with the cortex Music-SDTB: outline • 25 participants with no clinical profile • 6 tasks modulating timing and sensory domains • Timing: Production, Perception, NTFD • Sensory: Auditory and Visual • 2 main conditions for every task • Beat condition • Interval condition
  • 10. ● Identify the contributions of Basal Ganglia and Cerebellum to form temporal predictions in the context of rhythmic and non-rhythmic sequences of events ● Use different sensory modalities —audio and visual— to characterize the relationship of these sub-cortical contributions with the cortex Music-SDTB: outline • 25 participants with no clinical profile • 6 tasks modulating timing and sensory domains • Timing: Production, Perception, NTFD • Sensory: Auditory and Visual • 2 main conditions for every task • Beat condition • Interval condition Behavior
  • 11. ● Identify the contributions of Basal Ganglia and Cerebellum to form temporal predictions in the context of rhythmic and non-rhythmic sequences of events ● Use different sensory modalities —audio and visual— to characterize the relationship of these sub-cortical contributions with the cortex Music-SDTB: outline • 25 participants with no clinical profile • 6 tasks modulating timing and sensory domains • Timing: Production, Perception, NTFD • Sensory: Auditory and Visual • 2 main conditions for every task • Beat condition • Interval condition Behavior fMRI
  • 12. Music SDTB: a deep behavioral-phenotyping study
  • 13. Music SDTB: tasks and hypotheses Production Perception NTFD* *NTFD = Non-Temporal Feature Discrimination Basal Ganglia Cerebellum
  • 14. Music SDTB: tasks and hypotheses Production Perception NTFD* *NTFD = Non-Temporal Feature Discrimination H1 Basal Ganglia Cerebellum
  • 15. Music SDTB: tasks and hypotheses Production Perception NTFD* *NTFD = Non-Temporal Feature Discrimination H2 Basal Ganglia Cerebellum
  • 16. Music SDTB: tasks and hypotheses Production Perception NTFD* *NTFD = Non-Temporal Feature Discrimination H3 Basal Ganglia Cerebellum
  • 17. Music SDTB: Production tasks Beat Interval Standard∈{459,510 ,561,612,663} ... Baseline ... Baseline ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)] ISIB=3(Standard) Standard ISIB Standard ISIB Standard ISII Standard ISII = 80ms or
  • 18. Music SDTB: Perception tasks Beat Interval ... Baseline Standard ISIB Standard ISIB Comparison Standard∈{459,510 ,561,612,663} ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)] Comparison=Standard (1+d) ISIB=3(Standard) Standard ISII Standard ISII Comparison ... Baseline ISIB > or < Comparison? ISIB > or < Comparison? = 80ms or
  • 19. Beat Interval = 80ms or Music SDTB: NTFD tasks Standard ISIB Standard ISIB Standard Standard ISII Standard ISII Standard Higher or Lower? Circle or Triangle? Higher or Lower? Circle or Triangle? Standard∈{459,510 ,561,612,663} ISI I⊂[min(3×∀ Standard),max (3×∀ Standard)] ISIB=3(Standard) ... Baseline ... Baseline
  • 20. Behavioral Results ● 25 Participants ● 3 Sessions ➔ 1st Session: 24 runs (4 runs per task) ➔ 2nd and 3rd Sessions: 28 runs (4 runs for Production + NTFD and 6 runs for Perception)
  • 21. Behavioral Results ● 25 Participants ● 3 Sessions ➔ 1st Session: 24 runs (4 runs per task) ➔ 2nd and 3rd Sessions: 28 runs (4 runs for Production + NTFD and 6 runs for Perception) ● Validate the tasks ● Assess complexity: between Conditions and Modalities ● Preliminary validation of our hypothesis
  • 22.
  • 24. SA= Response−Standard Standard AA=|Response−Standard Standard | Condition: Validates H1 and H3 Modality: AA shows benefit of Audio over Visual
  • 25. PSE indexes bias Psychometric Function to dissociate bias from variability from our measurements of performance DL indexes variability PSE: bias shorter for longer Standards
  • 26. Two-way repeated measures ANOVA Perception Tasks
  • 27. Two-way repeated measures ANOVA ● No effect of DL for Conditions but for Standard = 612 Perception Tasks
  • 28. Two-way repeated measures ANOVA ● Significant effect of DL for Modality ● No effect of DL for Conditions but for Standard = 612 Perception Tasks
  • 29. Two-way repeated measures ANOVA ● Significant effect of DL for Modality ● Interaction between Visual Modality and Conditions ● No effect of DL for Conditions but for Standard = 612 Perception Tasks
  • 30. Benefit of Visual over Audio Aligns w/ results of SA for Production Tasks Modality: