Our modified monetary incentive delay (MID) task [10 (link)] version [21 (link)] relied on exerting force on a hand grip or dynamometer (TSD121B-MRI, Biopac) (Fig. 1d ) at a threshold corresponding to 50% of each participant’s maximum voluntary contraction (MVC) and, therefore, was termed monetary incentive force (MIF) task. To investigate the influence of competition on performance, the experiment was run under two experimental conditions, an isolation and a competition condition. Success rate was computed in % of successful trials out of total trials, and for each of the four sessions (i.e., SuccessTotal, SuccessSession 1, SuccessSession 2, SuccessSession 3, and SuccessSession 4) and for each of the three incentives (i.e., CHF 0.2, 0.5, and 1). See Supplementary Methods for further details.
Tsd121b mri
Manufactured by Biopac
Sourced in United States
The TSD121B-MRI is a transducer designed for use in MRI environments. It is capable of measuring physiological signals such as force, displacement, or pressure. The device is constructed with non-magnetic materials to minimize interference with the MRI scanner.
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Lab products found in correlation
8 protocols using tsd121b mri
1
Competitive Monetary Incentive Force Task
2
Force Measurement with Visual Feedback
3
Grip Force Measurement and fMRI Integration
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Applied grip force was measured with MR-compatible hand clench dynamometers (TSD121B-MRI) connected to the BIOPAC MP150 acquisition system (BIOPAC Systems, Inc.; Goleta, CA, USA) via the corresponding cable/filter system. The measured grip strength (up to 50 kg) was directly obtained in kilograms and recorded with the software AcqKnowledge 4.3.1 (BIOPAC Systems, Inc.; Goleta, CA, USA). Force was sampled at 1000 Hz. Custom made software translated force values online in the virtual avatar movement. Latency of displaying information on the screen (< 40 ms) was measured by counting the number of drawn frames during a run and dividing this number by a run’s length. Perceptually, no participant reported experiencing a response delay.
Scanning was performed using a Siemens (Erlangen, Germany) Trio 3 Tesla magnetic resonance scanner with a CP Send/Receive head coil. Functional images were obtained with a gradient-echo T2*-weighted transverse echoplanar image (EPI) sequence [603 volumes per run (in total 1206 volumes); TR = 2s; TE = 30ms; flip angle = 90°; 33 axial slices; 3mm3 isotropic voxel size]. In addition, high-resolution T1-weighted anatomical scans [TR = 2.25s; TE = 3.83ms; flip angle = 9°; 144 slices per volume; 1mm3 isotropic voxel size] were obtained to improve spatial normalization of functional images onto the Montreal Neurological Institute (MNI) brain template.
Scanning was performed using a Siemens (Erlangen, Germany) Trio 3 Tesla magnetic resonance scanner with a CP Send/Receive head coil. Functional images were obtained with a gradient-echo T2*-weighted transverse echoplanar image (EPI) sequence [603 volumes per run (in total 1206 volumes); TR = 2s; TE = 30ms; flip angle = 90°; 33 axial slices; 3mm3 isotropic voxel size]. In addition, high-resolution T1-weighted anatomical scans [TR = 2.25s; TE = 3.83ms; flip angle = 9°; 144 slices per volume; 1mm3 isotropic voxel size] were obtained to improve spatial normalization of functional images onto the Montreal Neurological Institute (MNI) brain template.
4
Multimodal Acquisition of Behavioral Data during fMRI
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Presentation of visual stimuli and acquisition of behavioral data were achieved using custom MATLAB (http://www.mathworks.com ) scripts implementing the PsychToolBox libraries40 (link). During fMRI, visual feedback was presented via a projector positioned at the back of the room. Participants viewed a reflection of the projector in a mirror attached to the scanner head coil.
An MRI compatible hand clench dynamometer (TSD121B-MRI, BIOPAC Systems, Inc., Goleta, CA) was used to record grip force effort exertion. During experiments, signals from this sensor were sent to our custom designed software for real-time visual feedback of participants’ exertion. Effort exertion was performed while participants held the force transducer in their right hand with arm extended while lying in the supine position.
To record participants’ choices we used an MRI compatible multiple button-press response box (Cedrus RB-830, Cedrus Corp., San Pedro, CA) held in the left hand.
An MRI compatible hand clench dynamometer (TSD121B-MRI, BIOPAC Systems, Inc., Goleta, CA) was used to record grip force effort exertion. During experiments, signals from this sensor were sent to our custom designed software for real-time visual feedback of participants’ exertion. Effort exertion was performed while participants held the force transducer in their right hand with arm extended while lying in the supine position.
To record participants’ choices we used an MRI compatible multiple button-press response box (Cedrus RB-830, Cedrus Corp., San Pedro, CA) held in the left hand.
5
Force Measurement with Visual Feedback
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Stimulus presentation was programmed on a PC using MATLAB (The Math-Works Inc., USA) and Psychtoolbox. Force was recorded using a hand-held TSD121B-MRI (BIOPAC Systems Inc., USA). The PC screen provided subjects with real-time visual feedback on the force being exerted.
6
Force Measurement with Visual Feedback
7
Physical Effort-Based Decision Making
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The experiment was conducted in a laboratory room with only the participant and the experimenter present. Stimuli presentation and response collection were implemented using custom code in Matlab (The MathWorks, Inc., USA) and Psychophysics Toolbox extensions64 (link), controlled by a PC running the Windows operating system. To examine preferences for effort and reward information and their interaction with the willingness to exert effort, we developed a physical effort-based decision-making task, in which effort was operationalised as the amount of force exerted on a handheld dynamometer (TSD121B-MRI; BIOPAC Systems, Inc., USA). This allowed us to systematically set different, individualised effort levels.
8
Monetary Incentive Force Task Protocol
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Our task, termed monetary incentive force (MIF) task 6, (link)28 (link) , combines aspects from the monetary incentive delay (MID) task 16 (link) and from effort-based decision-making paradigms 10, (link)17 (link) . It requires participants to exert force on a hand grip dynamometer (TSD121B-MRI, Biopac) (Figure 1a) at a threshold corresponding to 50% of each participant's maximum voluntary contraction (MVC). The experiment was run under two experimental conditions, with half of the participants performing the task in isolation (i.e., their earnings depended solely on their own performance) while the other half in competition. Success was measured by the number of successful experimental trials, and results were computed separately for the two halves of the experiment (H1 and H2; see Figure 1a) for three monetary incentives (i.e., 0.2, 0.5, and 1 CHF). See 28 (link) for further details.
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