Evidence map›Paper›PMID 39026728›Full record

ArticlebioRxiv : the preprint server for biology2024

Decision-making shapes dynamic inter-areal communication within macaque ventral frontal cortex.

Frederic M Stoll, Peter H Rudebeck

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Frederic M StollNash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-8642-8133
Peter H RudebeckNash Family Department of Neuroscience, Lipschultz Center for Cognitive Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.

Funding

Neural circuit mechanisms of affective probabilistic learningR01MH132064 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Peter Rudebeck · 2023 to 2026
$3.2M
A new approach to the role of prefrontal-limbic circuits in anxiety disordersR01MH110822 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RUDEBECK, PETER · 2016 to 2020
$2.2M
NIMH NIH HHS R01 MH110822NIMH NIH HHS R01 MH132064
6 · The paper itself

Abstract

Macaque ventral frontal cortex is comprised of a set of anatomically heterogeneous and highly interconnected areas. Collectively these areas have been implicated in many higher-level affective and cognitive processes, most notably the adaptive control of decision-making. Despite this appreciation, little is known about how subdivisions of ventral frontal cortex dynamically interact with each other during decision-making. Here we assessed functional interactions between areas by analyzing the activity of thousands of single neurons recorded from eight anatomically defined subdivisions of ventral frontal cortex in macaques performing a visually guided two-choice probabilistic task for different fruit juices. We found that the onset of stimuli and reward delivery globally increased communication between all parts of ventral frontal cortex. Inter-areal communication was, however, temporally specific, occurred through unique activity subspaces between areas, and depended on the encoding of decision variables. In particular, areas 12l and 12o showed the highest connectivity with other areas while being more likely to receive information from other parts of ventral frontal cortex than to send it. This pattern of functional connectivity suggests a role for these two areas in integrating diverse sources of information during decision processes. Taken together, our work reveals the specific patterns of interareal communication between anatomically connected subdivisions of ventral frontal cortex that are dynamically engaged during decision-making.

Indexed as

agranular insulachoicesdecision makingfunctional connectivityorbitofrontal cortexoutcomerewardventral frontal cortex

Identifiers

PMID39026728
PMCPMC11257438

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.