Numerical processing in the human parietal cortex during experimental and natural conditions

Mohammad Dastjerdi, Muge Ozker, Brett L. Foster, Vinitha Rangarajan and Josef Parvizi ()
Additional contact information
Mohammad Dastjerdi: Laboratory of Behavioral and Cognitive Neurology (LBCN), Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, 300 Pasteur Drive, Room A343, Stanford, California 94305, USA
Muge Ozker: Laboratory of Behavioral and Cognitive Neurology (LBCN), Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, 300 Pasteur Drive, Room A343, Stanford, California 94305, USA
Brett L. Foster: Laboratory of Behavioral and Cognitive Neurology (LBCN), Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, 300 Pasteur Drive, Room A343, Stanford, California 94305, USA
Vinitha Rangarajan: Laboratory of Behavioral and Cognitive Neurology (LBCN), Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, 300 Pasteur Drive, Room A343, Stanford, California 94305, USA
Josef Parvizi: Laboratory of Behavioral and Cognitive Neurology (LBCN), Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, 300 Pasteur Drive, Room A343, Stanford, California 94305, USA

Nature Communications, 2013, vol. 4, issue 1, 1-11

Abstract: Abstract Human cognition is traditionally studied in experimental conditions wherein confounding complexities of the natural environment are intentionally eliminated. Thus, it remains unknown how a brain region involved in a particular experimental condition is engaged in natural conditions. Here we use electrocorticography to address this uncertainty in three participants implanted with intracranial electrodes and identify activations of neuronal populations within the intraparietal sulcus region during an experimental arithmetic condition. In a subsequent analysis, we report that the same intraparietal sulcus neural populations are activated when participants, engaged in social conversations, refer to objects with numerical content. Our prototype approach provides a means for both exploring human brain dynamics as they unfold in complex social settings and reconstructing natural experiences from recorded brain signals.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/ncomms3528 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3528

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms3528

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().