Our understanding of cortical function is largely static and modular. A lot has been learned about which cortical areas express different types of information, but how information flows through the cortex is still largely conjecture, indirectly inferred from anatomical connections. Consider two critical cognitive functions: attention and perceptual decisions. Much is known about these functions on a modular level, but where these signals arise, where they flow, and how brain areas interact and collaborate to support them is still largely unknown. To address this, we will train monkeys to make judgments about visual motion and/or color in a task designed to parametrically vary attention and decision factors. We will record neural activity from many electrodes simultaneously implanted in a wide range of areas in the frontal and visual cortex. By comparing temporal dynamics of neural activity, we will test fundamental hypotheses about the nature of how cognitive signals arise and act on different cortical areas. One hypothesis is that both attention and decision-related signals arise from prefrontal cortex and flow to visual cortex. The alternative hypothesis is that top-down attention signals arise in the prefrontal cortex, but perception decisions arise in higher-level visual cortex. We will also determine whether top-down signals act simultaneously on different levels of the cortical hierarchy versus the signals cascading from one area to the next. We will also test whether patterns of signal flow and interactions between cortical areas change with task demands. Testing these hypotheses is critical step to addresses neuropsychiatric disorders. There is increasing evidence that many disorders may be due to dysfunction in connections and interactions between brain areas. This study would be the first large scale test of how interactions between cortical areas support two basic and critical cognitive functions in the normal brain.

Public Health Relevance

We will use multiple-electrode technology to record from multiple areas of the cortex while monkeys attend to make decisions about, different stimulus features. Testing these hypotheses is critical step to addressing neuropsychiatric disorders. There is increasing evidence that many disorders may be due to dysfunction in connections and interactions between brain areas. This study would be the first large scale test of how interactions between cortical areas support two basic and critical cognitive functions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
1R37MH087027-01A1
Application #
7889233
Study Section
Special Emphasis Panel (ZRG1-IFCN-L (02))
Program Officer
Rossi, Andrew
Project Start
2010-03-11
Project End
2015-01-31
Budget Start
2010-03-11
Budget End
2011-01-31
Support Year
1
Fiscal Year
2010
Total Cost
$352,566
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Lundqvist, Mikael; Herman, Pawel; Warden, Melissa R et al. (2018) Gamma and beta bursts during working memory readout suggest roles in its volitional control. Nat Commun 9:394
Villagrasa, Francesc; Baladron, Javier; Vitay, Julien et al. (2018) On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach. J Neurosci 38:9551-9562
Wutz, Andreas; Loonis, Roman; Roy, Jefferson E et al. (2018) Different Levels of Category Abstraction by Different Dynamics in Different Prefrontal Areas. Neuron 97:716-726.e8
Bastos, André M; Loonis, Roman; Kornblith, Simon et al. (2018) Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory. Proc Natl Acad Sci U S A 115:1117-1122
Lundqvist, Mikael; Herman, Pawel; Miller, Earl K (2018) Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not. J Neurosci 38:7013-7019
Brincat, Scott L; Siegel, Markus; von Nicolai, Constantin et al. (2018) Gradual progression from sensory to task-related processing in cerebral cortex. Proc Natl Acad Sci U S A 115:E7202-E7211
Jia, Nan; Brincat, Scott L; Salazar-Gómez, Andrés F et al. (2017) Decoding of intended saccade direction in an oculomotor brain-computer interface. J Neural Eng 14:046007
Loonis, Roman F; Brincat, Scott L; Antzoulatos, Evan G et al. (2017) A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning. Neuron 96:521-534.e7
Pinotsis, Dimitris A; Brincat, Scott L; Miller, Earl K (2017) On memories, neural ensembles and mental flexibility. Neuroimage 157:297-313
Lindsay, Grace W; Rigotti, Mattia; Warden, Melissa R et al. (2017) Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex. J Neurosci 37:11021-11036

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