Abstract
Studies based on a paradigm of free or natural viewing have revealed characteristics that allow us to know how the brain processes stimuli within a natural environment. This method has been little used to study brain function. With a connectivity approach, we examine the processing of emotions using an exploratory method to analyze functional magnetic resonance imaging (fMRI) data. This research describes our approach to modeling stress paradigms suitable for neuroimaging environments. We showed a short film (4.54 minutes) with high negative emotional valence and high arousal content to 24 healthy male subjects (36.42 years old; SD = 12.14) during fMRI. Independent component analysis (ICA) was used to identify networks based on spatial statistical independence. Through this analysis we identified the sensorimotor system and its influence on the dorsal attention and default-mode networks, which in turn have reciprocal activity and modulate networks described as emotional.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Adult
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Arousal / physiology*
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Emotions / physiology*
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Functional Neuroimaging / methods
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Humans
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Magnetic Resonance Imaging / methods
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Male
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Middle Aged
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Nerve Net / physiology*
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Sensorimotor Cortex / diagnostic imaging
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Sensorimotor Cortex / physiology*
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Stress, Psychological / psychology
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Visual Perception / physiology*
Grants and funding
This work was supported by the Programa de Maestría en Ciencias (Neurobiología) of the Universidad Nacional Autónoma de México (UNAM) for the masters fellowship (MN) supported by the National Council of Science and Technology, Mexico (Consejo Nacional de Ciencia y Tecnología, CONACYT); DGAPA-UNAM for the Postdoctoral Fellowship (JM-S); the PASPA program at DGAPA-UNAM for the sabbatical fellowship (FAB); and CONACyT for the funding received via grant CB167271 (FAB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.