Temporally-structured acquisition of multidimensional optical imaging data facilitates visualization of elusive cortical representations in the behaving monkey

David B. Omer, Rina Hildesheim, Amiram Grinvald*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Fundamental understanding of higher cognitive functions can greatly benefit from imaging of cortical activity with high spatiotemporal resolution in the behaving non-human primate. To achieve rapid imaging of high-resolution dynamics of cortical representations of spontaneous and evoked activity, we designed a novel data acquisition protocol for sensory stimulation by rapidly interleaving multiple stimuli in continuous sessions of optical imaging with voltage-sensitive dyes. We also tested a new algorithm for the "temporally structured component analysis" (TSCA) of a multidimensional time series that was developed for our new data acquisition protocol, but was tested only on simulated data (Blumenfeld, 2010). In addition to the raw data, the algorithm incorporates prior knowledge about the temporal structure of the data as well as input from other information. Here we showed that TSCA can successfully separate functional signal components from other signals referred to as noise. Imaging of responses to multiple visual stimuli, utilizing voltage-sensitive dyes, was performed on the visual cortex of awake monkeys. Multiple cortical representations, including orientation and ocular dominance maps as well as the hitherto elusive retinotopic representation of orientation stimuli, were extracted in only 10. s of imaging, approximately two orders of magnitude faster than accomplished by conventional methods. Since the approach is rather general, other imaging techniques may also benefit from the same stimulation protocol. This methodology can thus facilitate rapid optical imaging explorations in monkeys, rodents and other species with a versatility and speed that were not feasible before.

Original languageAmerican English
Pages (from-to)237-251
Number of pages15
JournalNeuroImage
Volume82
DOIs
StatePublished - 5 Nov 2013
Externally publishedYes

Bibliographical note

Funding Information:
We wish to thank Barak Blumenfeld and Misha Tsodyks for their valuable contributions to an earlier version of the manuscript, Li-Raz Rom and Chen Ben-Yaakov for technical assistance with the demanding experiments, and AG and DBO for writing the manuscript. AG was supported by the EC ( FP6-2004-IST-FETPI-015803 , DAISY) and by grants from the Israeli Science Foundation , the German Federal Ministry of Education and Research (BMBF), the Grodetsky Center for Research of Higher Brain Functions , and the Weizmann Institute of Science, Rehovot, Israel.

Keywords

  • Behaving monkey
  • Cortical dynamics
  • Independent-component analysis
  • Principle-component analysis
  • Temporally structured component analysis
  • Voltage sensitive dyes
  • Voltage-sensitive dye imaging

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