Literature DB >> 3534580

Mapping human visual cortex with positron emission tomography.

P T Fox, M A Mintun, M E Raichle, F M Miezin, J M Allman, D C Van Essen.   

Abstract

Positron-emission tomography (PET) can localize functions of the human brain by imaging regional cerebral blood flow (CBF) during voluntary behaviour. Functional brain mapping with PET, however, has been hindered by PET's poor spatial resolution (typically greater than 1 cm). We have developed an image-analysis strategy that can map functional zones not resolved by conventional PET images. Brain areas selectively activated by a behavioural task can be isolated by subtracting a paired control-state image from the task-state image, thereby removing areas not recruited by the task. When imaged in isolation the centre of an activated area can be located very precisely. This allows subtle shifts in response locale due to changes in task to be detected readily despite poor spatial resolution. As an initial application of this strategy we mapped the retinal projection topography of human primary visual cortex. Functional zones separated by less than 3 mm (centre-to-centre) were differentiated using PET CBF images with a spatial resolution of 18 mm. This technique is not limited to a particular brain area or type of behaviour but does require that the increase in CBF produced by the task be both intense and focal.

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Mesh:

Year:  1986        PMID: 3534580     DOI: 10.1038/323806a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  54 in total

Review 1.  If neuroimaging is the answer, what is the question?

Authors:  S M Kosslyn
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

2.  Improvement in variability of the horizontal meridian of the primary visual area following high-resolution spatial normalization.

Authors:  P Kochunov; M Hasnain; J Lancaster; T Grabowski; P Fox
Journal:  Hum Brain Mapp       Date:  2003-02       Impact factor: 5.038

Review 3.  The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.

Authors:  Nikos K Logothetis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

4.  In vivo mammalian brain imaging using one- and two-photon fluorescence microendoscopy.

Authors:  Juergen C Jung; Amit D Mehta; Emre Aksay; Raymond Stepnoski; Mark J Schnitzer
Journal:  J Neurophysiol       Date:  2004-05-05       Impact factor: 2.714

5.  Cortical functional architecture and local coupling between neuronal activity and the microcirculation revealed by in vivo high-resolution optical imaging of intrinsic signals.

Authors:  R D Frostig; E E Lieke; D Y Ts'o; A Grinvald
Journal:  Proc Natl Acad Sci U S A       Date:  1990-08       Impact factor: 11.205

Review 6.  The coupling controversy.

Authors:  Peter T Fox
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

7.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

Authors:  K K Kwong; J W Belliveau; D A Chesler; I E Goldberg; R M Weisskoff; B P Poncelet; D N Kennedy; B E Hoppel; M S Cohen; R Turner
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

8.  Reproducibility of cerebral glucose utilization measured by PET and the [18F]-2-fluoro-2-deoxy-d-glucose method in resting, healthy human subjects.

Authors:  P Maquet; D Dive; E Salmon; R von Frenckel; G Franck
Journal:  Eur J Nucl Med       Date:  1990

9.  Dynamic functional imaging of brain glucose utilization using fPET-FDG.

Authors:  Marjorie Villien; Hsiao-Ying Wey; Joseph B Mandeville; Ciprian Catana; Jonathan R Polimeni; Christin Y Sander; Nicole R Zürcher; Daniel B Chonde; Joanna S Fowler; Bruce R Rosen; Jacob M Hooker
Journal:  Neuroimage       Date:  2014-06-14       Impact factor: 6.556

10.  Noninvasive visualization of human dopamine dynamics from PET images.

Authors:  E D Morris; C C Constantinescu; J M Sullivan; M D Normandin; L A Christopher
Journal:  Neuroimage       Date:  2010-01-04       Impact factor: 6.556

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