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? Reading Hidden Intentions in the Human Brain John-Dylan Haynes, Katsuyuki Sakai, Geraint Rees, Sam Gilbert, Chris Frith, and Richard E. Passingham Tae Hyuk Keum

Reading Hidden Intentions in the Human Brain

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Reading Hidden Intentions in the Human Brain. John-Dylan Haynes, Katsuyuki Sakai, Geraint Rees, Sam Gilbert, Chris Frith, and Richard E. Passingham. Tae Hyuk Keum. Introduction. Goal-related processing increases activity in prefrontal cortex - PowerPoint PPT Presentation

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Page 1: Reading Hidden Intentions in the Human Brain

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Reading Hidden Intentions in the Human Brain

John-Dylan Haynes, Katsuyuki Sakai,Geraint Rees, Sam Gilbert, Chris Frith,

and Richard E. Passingham

Tae Hyuk Keum

Page 2: Reading Hidden Intentions in the Human Brain

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Introduction• Goal-related processing increases activity

in prefrontal cortex

– frontopolar, lateral, medial, and prefrontal cortex

Page 3: Reading Hidden Intentions in the Human Brain

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Introduction• Previous studies proposed:

– Preparation of motor responses– Holding a set of potential choices in mind– Tracking memory of previous choices– General processes for establishing a new task

• What is unclear:

- Whether the increase in prefrontal activity encode a subject’s current intention

Page 4: Reading Hidden Intentions in the Human Brain

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Hypothesis/Aim• Prefrontal cortex possibly encodes information

currently being prepared by a subject

• Use choice-delay-response task to see if it is possible to decode from activity in prefrontal cortex which task the subjects were covertly intending to perform

Page 5: Reading Hidden Intentions in the Human Brain

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Experiment• Participants:

– 3 Male, 5 Female– Age (21 ~ 35)– All right-handed– Had normal vision or corrected vision acuity

• Choice-delay-response task- 8 scanning runs (32 trials each)- fMRI 3T

Page 6: Reading Hidden Intentions in the Human Brain

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Experiment

2.8 ~ 10.7s

2s

2 correct2 wrong

+ or -

Page 7: Reading Hidden Intentions in the Human Brain

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Experiment• Decoding analysis

– Searchlight approach

– Multivariate pattern recognition

– Classification according to the typical response pattern

– Voxel-by-voxel analysis to create 3D spatial map according to decoding accuracy

Page 8: Reading Hidden Intentions in the Human Brain

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Results

Green: intention coded during delayRed: intention coded during execution

Page 9: Reading Hidden Intentions in the Human Brain

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Results• MPFCa activity:

- significantly high decoding accuracy only during delay (covert intention)

- overall increase during delay

• MPFCp activity informative during task execution but not delay

• No difference in both intentions (+,-) for overall activity other than spatial patterns

Page 10: Reading Hidden Intentions in the Human Brain

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Discussion• MPFCa encode goals during preparation• MPFCp encode goals during execution

• MPFC contain localizable task-specific representations of chosen intentions (shown for 1st time)

• Two intentions are coded not by increase in global activity, but by spatial response patterns

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Page 11: Reading Hidden Intentions in the Human Brain

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• Strengths– Subjects rarely chose wrong answer (5%)– Complex/systematic fMRI analysis

• Fine-grained neural representations– Very well controlled

• Variable delay • Randomized response positions

– No covert motor preparations

• Limitations - Unable to separate motor preparations from encoding

of intentions during execution period - Rapid pacing of trials

-cannot analyze period prior to cued selection - Experiment is quite long (32 trials X 8 runs)

Page 12: Reading Hidden Intentions in the Human Brain

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Future studies• Is MPFC generally involved in encoding task-

specific intentions or for +/- specifically?

• Possible to decode which task is chosen before being aware of choosing it?

• Do regions of PFC have clustered functional specializations?

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Page 13: Reading Hidden Intentions in the Human Brain

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ReferencesHaynes JD, Sakai K, Rees G, Gilbert S, Frith C, & Passingham RE.(2007)Reading hidden

intentions in the human brain. Current Biology 17(4):323-8Frith, C., Gallagher, H., and Maguire, E.A. (2004). Mechanisms of control. In Human Brain

Function, R.S.J. Frackowiack, ed.(London: Elsevier), pp. 329–364.Rowe, J.B., Stephan, K.E., Friston, K., Frackowiak, R.S., and Passingham, R.E. (2005). The

prefrontal cortex shows contextspecificchanges in effective connectivity to motor or visual cortex during the selection of action or colour. Cereb. Cortex15, 85–95.

Haggard, P., and Eimer, M. (1999). On the relation between brain potentials and the awareness of voluntary movements. Exp.Brain Res. 126, 128–133.

Blankertz, B., Dornhege, G., Schafer, C., Krepki, R., Kohlmorgen,J., Muller, K.R., Kunzmann, V., Losch, F., and Curio, G.(2003). Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis. IEEE Trans. Neural Syst. Rehabil. Eng. 11, 127–131.

Frith, C.D. (2000). The role of dorsolateral prefrontal cortex in the selection of action as revealed by functional imaging. In Control of Cognitive Processes: Attention and Performance XVIII, S.Monsell and J. Driver, eds. (Cambridge, MA: MIT Press), pp.549–565.

Hadland, K.A., Rushworth, M.F., Passingham, R.F., Jahanshahi,M., and Rothwell, J.C. (2001). Interference with performance ofa response selection task that has no working memory component:an rTMS comparison of the dorsolateral prefrontal and medial cortex. J. Cogn. Neurosci. 13, 1097–1108.