Biology subjects

Parthasarathi, T.

Publications and source records attributed to Parthasarathi, T..

3 recordsLinked to original sources

bioRxiv2024

Enabling Greenhouse Gas Emission Reduction while Improving Rice Yield with a Methane-Derived Microbial Biostimulant

Rice is a vital crop for food security and human nutrition, yet its cultivation produces [~]11% of total global anthropogenic methane (CH4) emissions - the second most important greenhouse gas (GHG). Modifications to rice management practice are necessary, both to increase yield and mitigate GHG emissions. We investigated the effect of a methane-derived microbial biostimulant on grain yield and GHG emissions from rice fields. Applications of microbial biostimulant resulted in significant enhancement of grain yield, even under different nitrogen management, with consistent reduction in GHG emissions. The study further outlines a potential mechanism for broad and diverse positive effects of microbial biostimulant on the paddy crop including in photosynthesis, tillering and panicle development. Observations from the study will help stakeholders and policy makers, leverage biological solutions like methane-derived microbial biostimulant to improve crop yield and address food security, while reducing anthropogenic CH4 emissions to meet targets agreed at COP26.

plant biology↗

bioRxiv2021

The Future is Less Concrete than the Present: A Neural Signature of the Concreteness of Prospective Thought Is Modulated by Temporal Proximity during Intertemporal Decision-Making

Why do people discount future rewards? Multiple theories in psychology argue that future events are imagined less concretely than immediate events, thereby diminishing their perceived value. Here we provide neuroscientific evidence for this proposal. First, we construct a neural signature of the concreteness of prospective thought, using an fMRI dataset where the concreteness of imagined future events is orthogonal to their valence by design. Then, we apply this neural signature in two additional fMRI datasets, each using a different delay discounting task, to show that neural measures of concreteness decline as rewards are delayed farther into the future. Significance StatementPeople tend to devalue, or discount, outcomes in the future relative to those that are more immediate. This tendency is evident in peoples difficulty in making healthy food choices or saving money for retirement. Several psychological theories propose that discounting occurs because delayed outcomes are perceived less concretely that more immediate ones. Here we build a brain decoder for the concreteness of future thought and use this unobtrusive measure to show that outcomes are processed less concretely as they occur farther into the future.

neuroscience↗

bioRxiv2020

The dorsal and ventral default mode networks are dissociably modulated by the valence and vividness of imagined events

Recent work has shown that the brains default mode network (DMN) is active when people imagine the future. Here we test whether future imagination can be decomposed into two dissociable psychological processes linked to different subcomponents of the DMN. While measuring brain activity with fMRI as subjects imagine future events, we manipulate the vividness of these events to modulate the demands for scene construction, and we manipulate the valence of these events to modulate the demands for evaluation. We found that one subcomponent of the DMN, the ventral DMN or medial temporal lobe subsystem, responds to the vividness but not the valence of imagined events. In contrast, another subcomponent, the dorsal or core DMN, responds to the valence but not the vividness of imagined events. This separate modifiability of different subcomponents of the DMN by vividness and valence provides strong evidence for a neurocognitive dissociation between (1) the construction of novel, imagined scenes from individual components from memory and (2) the evaluation of these constructed events as desirable or undesirable. Significance StatementPrevious work has suggested that imagination may depend on separate neural networks involved in the construction and evaluation of imagined future events. This study provides strong neural evidence for this dissociation by demonstrating that two components of the brains default mode network (DMN) uniquely and specifically respond to different aspects of imagination. The vividness of imagined events modulates the ventral DMN, but not the dorsal DMN, while the valence of imagined events modulates the dorsal DMN, but not the ventral DMN. This supports the dissociable engagement of these sub-networks in constructing and evaluating imagined future events.

neuroscience↗