Running, Fast and Slow: The Dorsal Striatum Sets the Cost of Movement During Foraging

preprint OA: closed
📄 Open PDF Full text JSON View at publisher
AI-generated summary by claude@2026-07, 2026-07-14

Rats running on a treadmill adjusted their speed to overcome increased effort costs, while their timing reflected reward urgency, implicating distinct dorsal and ventral striatal circuits in vigor control.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-14 · read from full text

The study examined how rats in a naturalistic foraging task choose when and how fast to run while reward value and motor cost changed, using model-based analyses to explain the coupling or decoupling of decision speed and movement speed. It found that rats dynamically adjusted these speeds in response to changing reward or effort demands, and that dorsal striatum lesions increased sensitivity to motor cost, reducing running speed in the most effortful conditions while largely preserving reward-related behavioral adjustments. The authors’ main caveat is that conclusions about mechanism are based on lesion effects within this specific treadmill-foraging paradigm. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Summary Humans and other animals adjust when and how fast they execute goal-directed actions according to expected costs and benefits. Yet, the behavioral principles and brain regions underlying adaptive vigor control remain poorly understood. Here, we developed a self-paced foraging task in which rats must run across a motorized treadmill to collect rewards, allowing separate manipulation of benefit (reward delivery probability) and cost (effort). Throughout the foraging sessions, run timing and speed jointly reflected the rats’ idiosyncratic urgency to obtain rewards. In contrast, when the cost of crossing the treadmill increased, rats ran faster to maintain a high reward rate while run timing remained stable. Consistent with distinct mechanisms for adapting to costs or benefits, dorsal striatum lesions primarily limited running speed under effortful conditions, whereas ventral striatum lesions reduced rewardseeking urgency at session onset. Together, these findings suggest that vigor is modulated by costs and benefits through distinct striatal circuits.
Full text 1,117 characters · extracted from oa-doi-fallback · click to expand
Summary During reward-oriented behaviors, animals –including humans– spontaneously adjust the speeds of their decisions and movements based on dynamically changing costs and benefits. The mechanisms constraining these adaptive modulations remain unclear, especially in freely moving animals. Here, we developed a naturalistic foraging task in which rats decided when and how fast to run across a motorized treadmill to collect rewards. Model-based analyses explained why decision and movement speeds were coupled or decoupled as rats adapted to changes in reward value or motor cost, respectively. Moreover, lesions of the dorsal striatum increased the animals’ sensitivity to motor cost, limiting their running speed in the most effortful conditions while sparing reward-related behavioral modulations. Altogether, our study describes how neuroeconomic constraints influence decision and movement speeds in foraging rats, and paves the way for a refined understanding of the role of the basal ganglia in motor control and decision-making. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00