Measuring the Brain-Gut Axis in Psychological Sciences: A Necessary Challenge

Palacios-García, Ismael; Parada, Francisco J.

doi:10.3389/fnint.2019.00073

Cited by 21 publications

(19 citation statements)

References 104 publications

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“…Human interaction is essential for the development of natural cognition (Rogoff & Lave, 1984). This global set of conditions were termed as "lifelines" by Steven Rose (1997), we might even think of them as "lifestyles" (Lydon-Staley et al, 2019;Palacios-Garcia & Parada, 2019;Sarkar et al, 2018;Tompson et al, 2019). Hence, MoBI+4E scientists will have the task to model individual and group brain/body dynamics as they unfold throughout specific periods of Parada & Rossi MoBI scaffolds the 4E approach time (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, even if the technical/analytical gap is breached, novel hypotheses, measures, and experimental paradigms are needed in order to tackle MoBI's ultimate goal: to model and understand cognition, behavior, and experience as it emerges and unfolds unto and from the world (Gramann et al, 2014;Krakauer et al, 2017;Makeig et al, 2009;Palacios-Garcia & Parada, 2019;Parada & Rossi, 2018). Such a goal is not completely novel or unique to the MoBI framework; it is at the core of a long-standing scientific and philosophical challenge.…”

Section: Introductionmentioning

confidence: 99%

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Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Fj¹,

Rossi²

2021

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TRADUCCIÓN por EILIS REARDON (Connecticut College - ereardon@conncoll.edu). Avances tecnológicos recientes englobados bajo de Mobila Brain/Body Imaging framework (Makeig et al., 2009), ha producido emocionantes nuevos resultados experimentales que vinculan el mente, el cerebro, y el comportamiento (Gramann et al., 2014; Ladouce et al., 2017; Shamay-Tsoory & Mendelsohn, 2019). El objetivo principal del enfoque de MoBI es modelar los dinámicas cerebral y corporal durante cada dia, natural, situaciones de la vida real. Sin embargo, a pesar de que se han realizado avances considerables tanto en hardware como en software (Blum et al., 2019; Debener et al., 2015; Ojeda et al., 2014), las condiciones técnicas y analiticas aun no son optimas (Gramann et al., 2014; Ladouce et al., 2017; Matusz et al., 2019; Parada, 2018). El enfoque MoBI esta basado en adjuntar sensores neuroconductuales sincronizados, pequeños, y livianos a los participantes y alrededor de ellos durante la configuración de estructuras, semiestructuradas y desestructuraciones medidas conductualmente (Gramann et al., 2014; Parada, 2018). Estos sensores aun tienen que volverse completamente discretos o transparentes (Bleichner & Debener, 2018; Debener et al., 2015). A pesar de un considerable vacío tecnico y analitico todavia existe, aquistucion de cerebro/cuerpo dinámicas durante situaciones de la vida real (e.g. Nann et al., 2019; Piñeyro Salvidegoitia et al., 2019; Rodríguez et al., 2018; Zink et al., 2016), asi como en virtual, modificado, y/o entornos de laboratorio extendidos ha tenido exito en muchos casos (e.g. Djebbara et al., 2019; Gramann et al., 2010; Jungnickel & Gramann, 2016; Soto et al., 2018).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Fj¹,

Rossi²

2021

Preprint

Self Cite

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“…Various pathogens manipulate their host, for example, to lose fear of predators or to move to exposed locations, thereby promoting pathogen transmission ( Heil, 2016 ; Hughes, 2014 ). The effect of non-pathogenic microorganisms on host behavior is predicted to be more nuanced because of the greater overlap in the selective interests of host and microorganisms ( Douglas, 2018b ; Ezenwa et al, 2012 ), and a current research priority is to identify the categories of animal behavior that are influenced by the presence and composition of the microbiome and the host–microbe interactions mediating these effects ( Cryan et al, 2019 ; Long-Smith et al, 2020 ; Palacios-García and Parada, 2019 ; Vuong et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

The impact of the gut microbiome on memory and sleep in Drosophila

Silva

Palacios-Muñoz

Okray

et al. 2020

Journal of Experimental Biology

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The gut microbiome has been proposed to influence diverse behavioral traits of animals, although the experimental evidence is limited and often contradictory. Here, we made use of the tractability of Drosophila melanogaster for both behavioral analyses and microbiome studies to test how elimination of microorganisms affects a number of behavioral traits. Relative to conventional flies (i.e. with unaltered microbiome), microbiologically sterile (axenic) flies displayed a moderate reduction in memory performance in olfactory appetitive conditioning and courtship assays. The microbiological status of the flies had a small or no effect on anxiety-like behavior (centrophobism) or circadian rhythmicity of locomotor activity, but axenic flies tended to sleep for longer and displayed reduced sleep rebound after sleep deprivation. These last two effects were robust for most tests conducted on both wild-type Canton S and w1118 strains, as well for tests using an isogenized panel of flies with mutations in the period gene, which causes altered circadian rhythmicity. Interestingly, the effect of absence of microbiota on a few behavioral features, most notably instantaneous locomotor activity speed, varied among wild-type strains. Taken together, our findings demonstrate that the microbiome can have subtle but significant effects on specific aspects of Drosophila behavior, some of which are dependent on genetic background.

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“…With regard to their exposomes, some populations are disproportionately vulnerable. Novel hypotheses will use recent theoretical ( 102 – 104 ) and technological ( 105 , 106 ) advancements to quantify the extent to which lifetime interconnections impact physiological and neurobehavioral dynamics and consequences for health, i.e., ontogeny. The challenge is manifold, as exposomics encounters (i) a scarcity of systematic multilevel data, (ii) an underdeveloped analytical framework to deal with those data, and (iii) the lack of an appropriate epistemological framework that would do justice ( 107 ) to the complexity of the phenomenon.…”

Section: Identifying Future Researchmentioning

confidence: 99%