The Role of the Substantia Nigra in Cognitive Activity in Cats

Mukhin, E. I.; Mukhina, Yu. K.; Набиева, Т.Н.

doi:10.1023/b:neab.0000012808.55321.25

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Cognition testing is possible in larger animal species: for example, open-field behavior (Villalba et al 2009) and maze learning (Hernandez et al 2009) have been undertaken in sheep; memory and learning testing in dogs (Barsoum et al 2000;Milgram et al 2007;Head et al 2008); and obstacle memory (McVea and Pearson 2006) and recognition/decision-making tests (Mukhin et al 2004) in cats. However, compared with smaller animals, these species are generally less amenable to statistically relevant, operator-blinded behavioral studies.…”

Section: Animal Models Are Invaluable Toolsmentioning

confidence: 99%

Lessons learnt from animal models: pathophysiology of neuropathic lysosomal storage disorders

Hemsley

Hopwood

2010

J of Inher Metab Disea

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Approximately 50 inborn errors of metabolism known as lysosomal storage disorders have been discovered to date, most of which are due to a single mutation in a gene encoding a soluble lysosomal enzyme. Consequently, inadequate enzyme activity results in the accumulation of substrates for that enzyme, invariably accompanied by a wide variety of secondary pathological changes. Many of these conditions remain untreatable, and therefore, research into pathogenic processes and potential treatment strategies is intense. A key tool for researchers in this area is the availability of clinically relevant animal models in which to study disease manifestation and evaluate therapeutic outcomes. Large numbers of both naturally occurring and genetically modified animal models of neurodegenerative lysosomal storage disorders are in existence, with spontaneous models occurring in both large domestic (e.g., cat, dog, sheep) and small (e.g., mouse) animal species. Many have undergone rigorous phenotypic characterization and are now providing us with insights into neurological disease processes. The purpose of this review is to highlight some of the major lessons learnt from these studies.

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Section: Animal Models Are Invaluable Toolsmentioning

confidence: 99%

Lessons learnt from animal models: pathophysiology of neuropathic lysosomal storage disorders

Hemsley

Hopwood

2010

J of Inher Metab Disea

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The homotopic connectivity of the functional brain: a meta-analytic approach

Mancuso

Costa

Nani

et al. 2019

Sci Rep

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Homotopic connectivity (HC) is the connectivity between mirror areas of the brain hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be perturbed by several pathological conditions. The voxel-mirrored homotopic connectivity (VMHC) is a technique devised to enquire this pattern of brain organization, based on resting state functional connectivity. Since functional connectivity can be revealed also in a meta-analytical fashion using co-activations, here we propose to calculate the meta-analytic homotopic connectivity (MHC) as the meta-analytic counterpart of the VMHC. The comparison between the two techniques reveals their general similarity, but also highlights regional differences associated with how HC varies from task to rest. Two main differences were found from rest to task: (i) regions known to be characterized by global hubness are more similar than regions displaying local hubness; and (ii) medial areas are characterized by a higher degree of homotopic connectivity, while lateral areas appear to decrease their degree of homotopic connectivity during task performance. These findings show that MHC can be an insightful tool to study how the hemispheres functionally interact during task and rest conditions.

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The Role of the Substantia Nigra in Cognitive Activity in Cats

Cited by 2 publications

References 5 publications

Lessons learnt from animal models: pathophysiology of neuropathic lysosomal storage disorders

Lessons learnt from animal models: pathophysiology of neuropathic lysosomal storage disorders

The homotopic connectivity of the functional brain: a meta-analytic approach

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