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Murd C, Moisa M, Grueschow M, Polania R, Ruff CC. Causal contributions of human frontal eye fields to distinct aspects of decision formation. Sci Rep 2020; 10:7317. [PMID: 32355294 PMCID: PMC7193618 DOI: 10.1038/s41598-020-64064-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 04/07/2020] [Indexed: 11/09/2022] Open
Abstract
Several theories propose that perceptual decision making depends on the gradual accumulation of information that provides evidence in favour of one of the choice-options. The outcome of this temporally extended integration process is thought to be categorized into the 'winning' and 'losing' choice-options for action. Neural correlates of corresponding decision formation processes have been observed in various frontal and parietal brain areas, among them the frontal eye-fields (FEF). However, the specific functional role of the FEFs is debated. Recent studies in humans and rodents provide conflicting accounts, proposing that the FEF either accumulate the choice-relevant information or categorize the outcome of such evidence integration into discrete actions. Here, we used transcranial magnetic stimulation (TMS) on humans to interfere with either left or right FEF activity during different timepoints of perceptual decision-formation. Stimulation of either FEF affected performance only when delivered during information integration but not during subsequent categorical choice. However, the patterns of behavioural changes suggest that the left-FEF contributes to general evidence integration, whereas right-FEF may direct spatial attention to the contralateral hemifield. Taken together, our results indicate an FEF involvement in evidence accumulation but not categorization, and suggest hemispheric lateralization for this function in the human brain.
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Affiliation(s)
- Carolina Murd
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland. .,Department of Penal Law, School of Law, University of Tartu, Teatri väljak 3, Tallinn, 10143, Estonia.
| | - Marius Moisa
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland
| | - Marcus Grueschow
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland
| | - Rafael Polania
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland.,Decision Neuroscience Lab, Department of Health Sciences and Technology, ETH Zurich, Rämistrasse 101, Zurich, 8092, Switzerland
| | - Christian C Ruff
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Rämistrasse 71, Zurich, 8006, Switzerland
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Sarabi MT, Aoki R, Tsumura K, Keerativittayayut R, Jimura K, Nakahara K. Visual perceptual training reconfigures post-task resting-state functional connectivity with a feature-representation region. PLoS One 2018; 13:e0196866. [PMID: 29742133 PMCID: PMC5942817 DOI: 10.1371/journal.pone.0196866] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 04/20/2018] [Indexed: 12/17/2022] Open
Abstract
The neural mechanisms underlying visual perceptual learning (VPL) have typically been studied by examining changes in task-related brain activation after training. However, the relationship between post-task "offline" processes and VPL remains unclear. The present study examined this question by obtaining resting-state functional magnetic resonance imaging (fMRI) scans of human brains before and after a task-fMRI session involving visual perceptual training. During the task-fMRI session, participants performed a motion coherence discrimination task in which they judged the direction of moving dots with a coherence level that varied between trials (20, 40, and 80%). We found that stimulus-induced activation increased with motion coherence in the middle temporal cortex (MT+), a feature-specific region representing visual motion. On the other hand, stimulus-induced activation decreased with motion coherence in the dorsal anterior cingulate cortex (dACC) and bilateral insula, regions involved in decision making under perceptual ambiguity. Moreover, by comparing pre-task and post-task rest periods, we revealed that resting-state functional connectivity (rs-FC) with the MT+ was significantly increased after training in widespread cortical regions including the bilateral sensorimotor and temporal cortices. In contrast, rs-FC with the MT+ was significantly decreased in subcortical regions including the thalamus and putamen. Importantly, the training-induced change in rs-FC was observed only with the MT+, but not with the dACC or insula. Thus, our findings suggest that perceptual training induces plastic changes in offline functional connectivity specifically in brain regions representing the trained visual feature, emphasising the distinct roles of feature-representation regions and decision-related regions in VPL.
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Affiliation(s)
| | - Ryuta Aoki
- Research Center for Brain Communication, Kochi University of Technology, Kami-city, Kochi, Japan
| | - Kaho Tsumura
- Department of Biosciences and Informatics, Keio University, Yokohama-city, Kanagawa, Japan
| | | | - Koji Jimura
- Research Center for Brain Communication, Kochi University of Technology, Kami-city, Kochi, Japan
- Department of Biosciences and Informatics, Keio University, Yokohama-city, Kanagawa, Japan
| | - Kiyoshi Nakahara
- School of Information, Kochi University of Technology, Kami-city, Kochi, Japan
- Research Center for Brain Communication, Kochi University of Technology, Kami-city, Kochi, Japan
- * E-mail:
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Tosoni A, Committeri G, Calluso C, Galati G. The effect of reward expectation on the time course of perceptual decisions. Eur J Neurosci 2017; 45:1152-1164. [DOI: 10.1111/ejn.13555] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 02/02/2017] [Accepted: 02/23/2017] [Indexed: 11/28/2022]
Affiliation(s)
- Annalisa Tosoni
- Department of Neuroscience, Imaging and Clinical Sciences; G. D'Annunzio University; Via dei Vestini 33 66013 Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Giorgia Committeri
- Department of Neuroscience, Imaging and Clinical Sciences; G. D'Annunzio University; Via dei Vestini 33 66013 Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Cinzia Calluso
- Department of Neuroscience, Imaging and Clinical Sciences; G. D'Annunzio University; Via dei Vestini 33 66013 Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Gaspare Galati
- Department of Psychology; Sapienza University of Rome; Rome Italy
- Laboratory of Neuropsychology; Santa Lucia Foundation; Rome Italy
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Pedersen ML, Endestad T, Biele G. Evidence Accumulation and Choice Maintenance Are Dissociated in Human Perceptual Decision Making. PLoS One 2015; 10:e0140361. [PMID: 26510176 PMCID: PMC4624809 DOI: 10.1371/journal.pone.0140361] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 09/24/2015] [Indexed: 11/17/2022] Open
Abstract
Perceptual decision making in monkeys relies on decision neurons, which accumulate evidence and maintain choices until a response is given. In humans, several brain regions have been proposed to accumulate evidence, but it is unknown if these regions also maintain choices. To test if accumulator regions in humans also maintain decisions we compared delayed and self-paced responses during a face/house discrimination decision making task. Computational modeling and fMRI results revealed dissociated processes of evidence accumulation and decision maintenance, with potential accumulator activations found in the dorsomedial prefrontal cortex, right inferior frontal gyrus and bilateral insula. Potential maintenance activation spanned the frontal pole, temporal gyri, precuneus and the lateral occipital and frontal orbital cortices. Results of a quantitative reverse inference meta-analysis performed to differentiate the functions associated with the identified regions did not narrow down potential accumulation regions, but suggested that response-maintenance might rely on a verbalization of the response.
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Affiliation(s)
- Mads Lund Pedersen
- Department of Psychology, University of Oslo, 0317, Oslo, Norway; Intervention Centre, Oslo University Hospital, Rikshospitalet, 0372, Oslo, Norway
| | - Tor Endestad
- Department of Psychology, University of Oslo, 0317, Oslo, Norway
| | - Guido Biele
- Department of Psychology, University of Oslo, 0317, Oslo, Norway; Norwegian Institute of Public Health, 0473, Oslo, Norway
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Feature interactions enable decoding of sensorimotor transformations for goal-directed movement. J Neurosci 2014; 34:6860-73. [PMID: 24828640 DOI: 10.1523/jneurosci.5173-13.2014] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Neurophysiology and neuroimaging evidence shows that the brain represents multiple environmental and body-related features to compute transformations from sensory input to motor output. However, it is unclear how these features interact during goal-directed movement. To investigate this issue, we examined the representations of sensory and motor features of human hand movements within the left-hemisphere motor network. In a rapid event-related fMRI design, we measured cortical activity as participants performed right-handed movements at the wrist, with either of two postures and two amplitudes, to move a cursor to targets at different locations. Using a multivoxel analysis technique with rigorous generalization tests, we reliably distinguished representations of task-related features (primarily target location, movement direction, and posture) in multiple regions. In particular, we identified an interaction between target location and movement direction in the superior parietal lobule, which may underlie a transformation from the location of the target in space to a movement vector. In addition, we found an influence of posture on primary motor, premotor, and parietal regions. Together, these results reveal the complex interactions between different sensory and motor features that drive the computation of sensorimotor transformations.
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Tosoni A, Corbetta M, Calluso C, Committeri G, Pezzulo G, Romani GL, Galati G. Decision and action planning signals in human posterior parietal cortex during delayed perceptual choices. Eur J Neurosci 2014; 39:1370-83. [DOI: 10.1111/ejn.12511] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Revised: 12/20/2013] [Accepted: 01/10/2014] [Indexed: 11/30/2022]
Affiliation(s)
- Annalisa Tosoni
- Department of Neuroscience and Imaging; G. D'Annunzio University; Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Maurizio Corbetta
- Department of Neurology; Washington University School of Medicine; St Louis MO USA
- Department of Radiology; Washington University School of Medicine; St Louis MO USA
- Department of Anatomy and Neurobiology; Washington University School of Medicine; St Louis MO USA
| | - Cinzia Calluso
- Department of Neuroscience and Imaging; G. D'Annunzio University; Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Giorgia Committeri
- Department of Neuroscience and Imaging; G. D'Annunzio University; Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Giovanni Pezzulo
- Institute of Cognitive Sciences and Technologies; CNR; Roma Italy
| | - G. L. Romani
- Department of Neuroscience and Imaging; G. D'Annunzio University; Chieti Italy
- Institute for Advanced Biomedical Technologies; G. D'Annunzio Foundation; Chieti Italy
| | - Gaspare Galati
- Department of Psychology; Sapienza University of Rome; Roma Italy
- Laboratory of Neuropsychology; Santa Lucia Foundation; Roma Italy
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Buchsbaum BR, Erickson DT, Kayser AS. Decomposing effects of time on task reveals an anteroposterior gradient of perceptual decision regions. PLoS One 2013; 8:e72074. [PMID: 23977212 PMCID: PMC3747156 DOI: 10.1371/journal.pone.0072074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2013] [Accepted: 07/08/2013] [Indexed: 11/19/2022] Open
Abstract
In perceptual decision making, the selection of an appropriate action depends critically on an organism's ability to use sensory inputs to accumulate evidence for a decision. However, differentiating decision-related processes from effects of "time on task" can be difficult. Here we combine the response signal paradigm, in which the experimenter rather than the subject dictates the time of the response, and independent components analysis (ICA) to search for signatures consistent with time on task and decision making, respectively, throughout the brain. Using this novel approach, we identify two such independent components from BOLD activity related to a random dot motion task: one sensitive to the main effect of stimulus duration, and one to both the main effect of motion coherence and its interaction with duration. Furthermore, we demonstrate that these two components are expressed differently throughout the brain, with activity in occipital regions most reflective of the former, activity within intraparietal sulcus modulated by both factors, and more anterior regions including the anterior insula, pre-SMA, and inferior frontal sulcus driven almost exclusively by the latter. Consistent with these ICA findings, cluster analysis identifies a posterior-to-anterior gradient that differentiates regions sensitive to time on task from regions whose activity is strongly tied to motion coherence. Together, these findings demonstrate that progressively more anterior regions are likely to participate in progressively more proximate decision-related processes.
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Affiliation(s)
| | - Drew T. Erickson
- Department of Neurology, The University of California at San Francisco, San Francisco, California, United States of America
| | - Andrew S. Kayser
- Department of Neurology, The University of California at San Francisco, San Francisco, California, United States of America
- Department of Neurology, Veterans Affairs Northern California Health Care System, Martinez, California, United States of America
- * E-mail:
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