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Perrone, A. A.

Publications and source records attributed to Perrone, A. A..

2 recordsLinked to original sources

Spatial differences in elemental stoichiometry and essential fatty acid content of food sources and consumers in a stream food web

Our study characterizes spatial differences in food webs of two reaches of a New York 3rd-order stream differing in light availability. Food web components were analyzed using marker fatty acids (FAs). Food source nutritional quality for consumers and predators (insect larvae) was measured through stoichiometry of C, N and P and essential FAs. There were strong imbalances between detrital food sources (low N, P and essential FAs) and insects in both shaded and open reaches, and food sources and invertebrate consumers were differentially affected by light with respect to their elemental stoichiometry and essential FA content. Biochemical patterns indicated that invertebrates fed selectively on higher-quality sources (algae, bryophytes, epiphytic bacteria, transported matter) and less on lower-quality periphyton and benthic matter. In addition to confirming the importance of autochthonous food sources for stream invertebrates, this study has highlighted that local ecological processes driven by changes in light availability and canopy-derived nutrient-rich matter can alter the micro- and macronutrient content of primary producers and detrital matter. These changes tracked differently within each consumer and varied with types of nutrient. Invertebrates exhibited a greater degree of homeostasis with respect to N and P than their essential FAs, and across trophic levels.

ecology↗

Correction of respiratory artifacts in MRI head motion estimates

Head motion represents one of the greatest technical obstacles for brain MRI. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, this estimation may be corrupted by factitious effects owing to main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and a comparison single-shot dataset from Oregon Health & Science University. We show unequivocally that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with degraded quality of functional MRI. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects. Subsequently, we demonstrate that utilizing this filter improves post-processing data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.

neuroscience↗