Display options
Cite
Ioannides AA, Fenwick PB, Pitri E, et al. A step towards non-invasive characterization of the human frontal eye fields of individual subjects. Nonlinear Biomed Phys. 2010;4:S11doi: 10.1186/1753-4631-4-S1-S11.
Ioannides, A. A., Fenwick, P. B., Pitri, E., & Liu, L. (2010). A step towards non-invasive characterization of the human frontal eye fields of individual subjects. Nonlinear biomedical physics, 4S11. https://doi.org/10.1186/1753-4631-4-S1-S11
Ioannides, Andreas A, et al. "A step towards non-invasive characterization of the human frontal eye fields of individual subjects." Nonlinear biomedical physics vol. 4 (2010): S11. doi: https://doi.org/10.1186/1753-4631-4-S1-S11
Ioannides AA, Fenwick PB, Pitri E, Liu L. A step towards non-invasive characterization of the human frontal eye fields of individual subjects. Nonlinear Biomed Phys. 2010 Jun 03;4:S11. doi: 10.1186/1753-4631-4-S1-S11. PMID: 20522261; PMCID: PMC2880797.
Copy Download .nbib Format: NLM
Share it on

Nonlinear Biomed Phys. 2010 Jun 03;4:S11. doi: 10.1186/1753-4631-4-S1-S11.

A step towards non-invasive characterization of the human frontal eye fields of individual subjects.

Nonlinear biomedical physics

Andreas A Ioannides, Peter Bc Fenwick, Elina Pitri, Lichan Liu

Affiliations

  1. Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd, Nicosia, Cyprus. [email protected].

PMID: 20522261 PMCID: PMC2880797 DOI: 10.1186/1753-4631-4-S1-S11

Abstract

BACKGROUND: Identifying eye movement related areas in the frontal lobe has a long history, with microstimulation in monkeys producing the most clear-cut results. For humans, however, there is still no consensus about the location and the extent of the frontal eye field (FEF). There is also no simple non-invasive method for unambiguously defining the FEF in individual subjects, a prerequisite for clinical applications. Here we explore the use of magnetoencephalography (MEG) for the non-invasive identification and characterization of FEF activity in an individual subject.

METHODS: We mapped human brain activity before, during and after saccades by applying tomographic analysis to MEG data. Statistical parametric maps and circular statistics produced plausible FEF loci, but no unambiguous definition for individual subjects. Here we first computed the spectral decomposition and correlation with electrooculogram (EOG) of the tomographic brain activations. For each of these two measures statistical comparisons were made between different saccades.

RESULTS: In this paper, we first review the frontal cortex activations identified in earlier animal and human studies and place the putative human FEFs in a well-defined anatomical framework. This framework is then used as reference for describing the results of new Fourier analysis of the tomographic solutions comparing active saccade tasks and their controls. The most consistent change in the dorsal frontal cortex was at the putative left FEF, for both saccades to the left and right. The asymmetric result is consistent with the 1-way callosal traffic theory. We also showed that the new correlation analysis had its most consistent change in the contralateral putative FEF. This result was obtained for EOG latencies before saccade onset with delays of a few hundreds of milliseconds (FEF activity leading the EOG) and only for visual cues signaling the execution of a saccade in a previously defined saccade direction.

CONCLUSIONS: The FEF definition derived from microstimulation describes only one of the areas in the dorsal lateral frontal lobe that act together to plan, prepare and execute a saccade. The definition and characterization of these areas in an individual subject can be obtained from non-invasive MEG measurements.

References

  1. J Neurophysiol. 1997 Jun;77(6):3386-90 - PubMed
  2. Eur J Neurosci. 2005 May;21(10):2853-63 - PubMed
  3. Hum Brain Mapp. 1999;8(1):28-43 - PubMed
  4. J Comp Neurol. 1952 Oct;97(2):357-83 - PubMed
  5. J Comp Neurol. 1989 Apr 15;282(3):415-27 - PubMed
  6. J Cogn Neurosci. 2010 Apr;22(4):728-38 - PubMed
  7. Am J Alzheimers Dis Other Demen. 2009 Jun-Jul;24(3):258-66 - PubMed
  8. Front Hum Neurosci. 2008 Mar 28;1:1 - PubMed
  9. Brain. 2004 Apr;127(Pt 4):873-87 - PubMed
  10. Cereb Cortex. 2004 Jan;14(1):56-72 - PubMed
  11. Neuron. 2004 Mar 4;41(5):795-807 - PubMed
  12. Neuropsychologia. 1996 Jun;34(6):475-83 - PubMed
  13. J Neurosci. 2005 Aug 31;25(35):7950-67 - PubMed
  14. Cereb Cortex. 1998 Jan-Feb;8(1):40-7 - PubMed
  15. J Neurosci. 1991 Mar;11(3):667-89 - PubMed
  16. Brain. 1993 Apr;116 ( Pt 2):355-67 - PubMed
  17. Neuron. 1998 Oct;21(4):761-73 - PubMed
  18. J Neurophysiol. 1979 May;42(3):681-709 - PubMed
  19. Neuroimage. 2009 Jan 15;44(2):455-68 - PubMed
  20. Cereb Cortex. 2006 Apr;16(4):447-59 - PubMed
  21. J Neurophysiol. 1985 Sep;54(3):714-34 - PubMed
  22. Prog Neurobiol. 2009 Oct;89(2):220-30 - PubMed
  23. J Neurophysiol. 1985 Mar;53(3):603-35 - PubMed
  24. Psychiatry Res. 2009 Dec 30;170(2-3):150-6 - PubMed
  25. Nonlinear Biomed Phys. 2010 Jun 03;4 Suppl 1:S10 - PubMed
  26. CMAJ. 2005 Jan 18;172(2):171-3 - PubMed
  27. Neuroreport. 2000 Jun 26;11(9):1907-13 - PubMed
  28. Arch Gen Psychiatry. 1993 Jun;50(6):474-82 - PubMed

Publication Types