Selective interhemispheric circuits account for a cardinal bias in spontaneous activity within early visual areas

• Autor(a) principal: Altavini, Tiago Siebert
• Data de Publicação: 2016
• Outros Autores: Ocazionez, Sergio Andres Conde, Eriksson, David, Wunderle, Thomas, Schmidt, Kerstin Erika
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/21456
• topic: Corpus callosum; Transition zone; Orientation preference; Resting state; VSD imaging

Ongoing brain activity exhibits patterns resembling neural ensembles co activated by stimulation or task performance. Such patterns have been attributed to the brain’s functional architecture, e.g. selective long-range connections. Here, we directly investigate the contribution of selective connections between hemispheres to spontaneous and evoked maps in cat area 18 close to the 17/18 border. We recorded voltage-sensitive dye imaging maps and spiking activity while manipulating interhemispheric input by reversibly deactivating corresponding contralateral areas. During deactivation, spontaneous maps continued to be generated with similar frequency and quality as in the intact network but a baseline cardinal bias disappeared. Consistently, neurons preferring either horizontal (HN) or vertical (VN), as opposed to oblique contours, decreased their resting state activity. HN decreased their rates also when stimulated visually. We conclude that structured spontaneous maps are primarily generated by thalamo- and/or intracortical connectivity. However, selective long-range connections through the corpus callosum - in perpetuation of the long-range intracortical network – contribute to a cardinal bias, possibly, because they are stronger or more frequent between neurons preferring horizontal and/or cardinal contours. As those contours are easier perceived and appear more frequently in natural environment, long-range connections might provide visual cortex with a grid for probabilistic grouping operations in a larger visual scene