Monkey somatosensory cerebrocerebellar pathways: Uneven densities of corticopontine neurons in different body representations of areas 3b, 1, and 2

Vassbø, Knut; Nicotra, Giuseppe; Wiberg, Mikael; Bjaalie, Jan G.

doi:10.1002/(sici)1096-9861(19990329)406:1<109::aid-cne7>3.0.co;2-u

Cited by 20 publications

(11 citation statements)

References 54 publications

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“…Electrophysiological mapping offers evidence that the parietal cortex is preferentially connected with the posterior lobe of the cat cerebellum (Sasaki et al 1975); in monkeys, still part of the PM afferents come originally from the parietal cortex (Sasaki 1979). Corticopontine projections arising from areas 1 and 2 are substantial (Vassbo et al 1999), and inputs from the contralateral pontocerebellar fibers are the most numerous to the PM (King et al 1998). These terminate more in the apex of the lobule (Voogd and Glickstein 1998), which corresponds to the location of the cerebellar PM 10-to 25-Hz LFP oscillations.…”

Section: Paramedian Lobule-somatosensory Cortex Lfp Relationsmentioning

confidence: 98%

Local Field Potential Oscillations in Primate Cerebellar Cortex: Synchronization With Cerebral Cortex During Active and Passive Expectancy

Courtemanche

Lamarre²

2005

Journal of Neurophysiology

122

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Many brain regions, such as the cerebellum, primary somatosensory cortex (SI), and primary motor cortex (MI), interact to produce coordinated actions. Synchronization of local field potentials (LFPs) in sensorimotor cerebral areas has been related to motor performance, often through 10- to 25-Hz oscillatory LFPs. The macaque cerebellar paramedian lobule (PM) also shows 10- to 25-Hz LFP oscillations, which are modulated in a stimulus-response lever press task to get reward (active condition), but also, albeit differently, in a similarly timed stimulus-reward relation (passive condition). This study focuses on simultaneous LFP activity in primate SI or MI and the PM cerebellum during the active (left- or right-hand lever presses) and passive conditions. Results show a similar modulation pattern of 10- to 25-Hz oscillations in the cerebellum, MI, and SI during the active condition (left or right hand), decreasing after stimulus onset, returning, and again decreasing after movement onset. In the passive condition, when the monkey did not move but got reward, all 3 areas show an oscillatory profile where oscillations increase after stimulus onset and last until reward, denoting a role for these oscillations in passive expectancy. However, synchronization between cerebellar LFPs and SI LFPs is higher during the active condition than during the passive condition, and highest for the interested hand. This greater PM-SI synchronization, when the monkey had to press the lever, could represent a form of cerebro-cerebellar communication, perhaps to serve somatosensory processing to accomplish the task; PM-MI synchronization was less selective for the hand used and might carry a more general type of information.

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Section: Paramedian Lobule-somatosensory Cortex Lfp Relationsmentioning

confidence: 98%

Local Field Potential Oscillations in Primate Cerebellar Cortex: Synchronization With Cerebral Cortex During Active and Passive Expectancy

Courtemanche

Lamarre²

2005

Journal of Neurophysiology

122

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“…For computerised 3-D reconstruction, the digitised data were transferred to Silicon Graphics workstations running software Micro3D (version 2000;Oslo Research Park, Oslo, Norway), developed in our laboratory (http://www.nesys.no) and used in several recent investigations (Leergaard et al 2000aMalmierca et al 1995Malmierca et al , 1998Bjaalie et al 1997a, b;Berg et al 1998Berg et al , 1999Vassbø et al 1999). The digitised sections were assigned z-values defined by section thickness and serial numbers, before they were aligned interactively on the screen with the aid of multiple anatomic landmarks.…”

Section: -D Reconstructionmentioning

confidence: 60%

“…8; Nikundiwe et al 1994;Leergaard et al , 2000aMalmierca et al 1998). In general, the use of computerised 3-D reconstruction facilitates the visualisation of complex anatomic structures (Malmierca et al 1998;Leergaard et al 2000a,b: present study) and allows various elaborate quantitative analyses (Bjaalie et al 1991;Malmierca et al 1998;Vassbø et al 1999;Leergaard et al 2000a,b). A general discussion of 3-D reconstruction approaches is provided by Bjaalie et al (1991) and Leergaard and Bjaalie (2001).…”

Section: Discussionmentioning

confidence: 99%

“…The present study is related to our ongoing investigations of mossy fibre pathways to the somatosensory influenced regions of the cerebellar hemispheres (Leergaard et al 2000aThompson et al 1995;Bjaalie et al 1997b;Hallem et al 1999;Vassbø et al 1999;Svanevik et al 2000;De Schutter and Bjaalie 2001). We have focussed on precerebellar brain stem systems (for review, see Newman and Ginsberg 1992;Ruigrok and Cella 1995;Voogd 1995) and have made computerised three-dimensional (3-D) reconstructions of the brain stem and several precerebellar nuclei in the rat.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional computerised atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data

Brevik¹,

Leergaard²,

Svanevik³

et al. 2001

Anatomy and Embryology

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Comparisons of microscopical neuroanatomic data from different experiments and investigators are typically hampered by the use of different section planes and dissimilar techniques for data documentation. We have developed a framework for visualization and comparison of section-based, spatial distribution data, in brain stem nuclei. This framework provides opportunities for harmonized data presentation in neuroinformatics databases. Three-dimensional computerized reconstructions of the rat brain stem and precerebellar nuclei served as a basis for establishing internal coordinate systems for the pontine nuclei and the precerebellar divisions of the sensory trigeminal nuclei. Coordinate based diagrams were used for presentation of experimental data (spatial distribution of labelled neurons and axonal plexuses) from standard angles of view. Each nuclear coordinate system was based on a cuboid bounding box with a defined orientation. The bounding box was size-adjusted to touch cyto- and myeloarchitectonically defined boundaries of the individual nuclei, or easily identifiable nearby landmarks. We exemplify the use of these internal coordinate systems with dual retrograde neural tracing data from pontocerebellar and trigeminocerebellar systems. The new experimental data were combined, in the same coordinate based diagrams, with previously published data made available via a neuroinformatics data repository (www.nesys.uio.no/Database, see also www.cerebellum.org). Three-dimensional atlasing, internal nuclear coordinate systems, and consistent formats for presentation of neuroanatomic data in web-based data repositories, offer new opportunities for efficient analysis and re-analysis of neuroanatomic data.

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“…Plus and minus values along the x-axis in both columns correspond to distances (µm) in left and right directions from the midline as determined by the Neurolucida plotting. For further explanation see text method for representing true density differences is to convert the density of cells to 2D iso-density maps (Vassbo et al 1999). The obvious limitation of this method is the lack of the third dimension.…”

Section: Rationalementioning

confidence: 99%

Visualization of density relations in large-scale neural networks

Nádasdy

Záborszky

2001

Anatomy and Embryology

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The topological organization of interfacing neuronal populations in the basal forebrain of rats was investigated in 3D by using computational methods for extracting information about the spatial distribution of cell densities and density relations. We claim that numerical and spatial constraints imposed by these methods may help to define neuronal clusters in this brain area where simple two-dimensional histology failed to reveal such an arrangement. Neuronal clusters have been suggested in many brain regions as sites of integrative operations. Taking advantage of computerized data acquisition methods in the 3D reconstruction of large cell populations we introduced four basic methods to visualize density relations on simple and combined cell markers: Differential Density 3D Scatter Plot, Iso-relational Scatter plot, Iso-density Surface Rendering and Iso-relational Surface Rendering. These methods are described and exemplified on a 3D neuronal database acquired from mapping different chemically or hodologically defined cell populations in serial sections of the rat basal forebrain.

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Monkey somatosensory cerebrocerebellar pathways: Uneven densities of corticopontine neurons in different body representations of areas 3b, 1, and 2

Cited by 20 publications

References 54 publications

Local Field Potential Oscillations in Primate Cerebellar Cortex: Synchronization With Cerebral Cortex During Active and Passive Expectancy

Local Field Potential Oscillations in Primate Cerebellar Cortex: Synchronization With Cerebral Cortex During Active and Passive Expectancy

Three-dimensional computerised atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data

Visualization of density relations in large-scale neural networks

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