Neural networks for volitional movement generation

evidence from neuroimaging meta-analysis

Felix Hoffstaedter, Robert Langner, Simon Eickhoff

Institute of Neurosciences and Medicine (INM-7)

Forschungszentrum Jülich

Content

Volitional Movements

  • min 2 alternative choices not determined by the experiment
  • resulted in a movement response

Neuroimaging Meta Analysis

Co-ordinate based meta-analysis

Activation likelihood estimation

Index

N = 35   17 female

Age = 35.9 ± 12.4

3T Siemens Trio   33min

Volitional Timing & Choice

Volitional Choice

Non-Volitional

Subtraction of neural activation in fMRI

Choice > Reaction = What

Timing > Choice = When

The Turing Way project illustration by Scriberia. Used under a CC-BY 4.0 licence. DOI: The Turing Way Community & Scriberia (2024).
  • synthesis of quantitative data from multiple independent studies addressing a common research question
  • computing a combined effect size across studies

Meta-analysis

  • synthesis of quantitative data from multiple independent studies addressing a common research question
  • computing a combined effect size across studies

Meta-analysis

  • Analytical flexibility:   Effect sizes are difficult to compare
  • Data sharing is rare:    Mega-analyses are very rare

Neuroimaging Meta-analysis

  • synthesis of quantitative data from multiple independent studies addressing a common research question
  • computing a combined effect size across studies

Meta-analysis

  • Analytical flexibility:   Effect sizes are difficult to compare
  • Data sharing is rare:    Mega-analyses are very rare

Neuroimaging Meta-analysis

Co-ordinate Based Meta-analysis

Co-ordinate Based Meta-analysis

‘What’ MNI coordinates
pre-SMA Area 6 3141 0 / 17 / 50
dPMC Area 6 R 20 / 3 / 62
dPMC Area 6 L 348 -20 / -2 / 65
DLPFC - R 337 32 / 47 / 21
DLPFC - L 1054 -38 / 47 / 12
Broca’s Area Area 45 -41 / 35 / 15
IPL PF L 382 -57 / -39 / 36
IPS hIP1 -39 / -45 / 38
hIP2 -51 / -41 / 39

Co-ordinate Based Meta-analysis

‘What’ MNI coordinates
pre-SMA Area 6 3141 0 / 17 / 50
dPMC Area 6 R 20 / 3 / 62
dPMC Area 6 L 348 -20 / -2 / 65
DLPFC - R 337 32 / 47 / 21
DLPFC - L 1054 -38 / 47 / 12
Broca’s Area Area 45 -41 / 35 / 15
IPL PF L 382 -57 / -39 / 36
IPS hIP1 -39 / -45 / 38
hIP2 -51 / -41 / 39

~ 10k studies reporting co-ordinated

Co-ordinate Based Meta-analysis

Co-ordinate Based Meta-analysis

Neural Network for
volitional movements generation

Neural Network for
volitional movements generation

  • 78 fMRI & PET experiments
  • 49  non-volitional control conditions
    • 47 choice conditions
    • 36 timing conditions
  • Task-set effects:   PET & fMRI block-design
    • 26 choice - sustained activity
    • 22 timing - sustained activity
  • Event-related fMRI modeling:
    • 11 Preparation
    • 17 Execution

Neural Network for
volitional movements generation

Neural Network for
volitional movements generation

Neural Network for
volitional movements generation

Neural Network for
volitional movements generation

Neural Network for
volitional movements generation

Conclusion

  • Generalized networks for volitional movements
    • Choice // Timing
      • Preparation & Execution

 

  • Neuroimaging Meta-analysis reveal new findings

 

  • FAIR science is good science
    • DataLad helps with RDM
INM-7                   f.hoffstaedter@fz-juelich.de