Evidence map›Paper›PMID 36747838›Full record

ArticlebioRxiv : the preprint server for biology2023

Individual Differences in Delay Discounting are Associated with Dorsal Prefrontal Cortex Connectivity in Youth.

Kahini Mehta, Adam Pines, Azeez Adebimpe, Bart Larsen, Dani S Bassett, Monica E Calkins, Erica Baller, Martin Gell, Lauren M Patrick, Raquel E Gur and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

16 authors.

Kahini MehtaLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Adam PinesLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Azeez AdebimpeLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bart LarsenLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dani S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, PA 19104, USA.
Monica E CalkinsDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Erica BallerLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Martin GellLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lauren M PatrickDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Raquel E GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ruben C GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
David R RoalfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Daniel RomerAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel H WolfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Joseph W KableDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Theodore D SatterthwaiteLifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
Evolution of Psychosis in Youth: Multimodal Risk and Resilience MarkersR01MH119219 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E, GUR, RUBEN C. · 2019 to 2023
$3.8M
Olfactory and facial markers of developmental risk for psychosis in 22q11 deletion syndromeR01MH119185 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2019 to 2024
$3.5M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Adolescent Neurodevelopment and Impaired Intrinsic Motivation in Psychosis RiskR01MH113565 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI WOLF, DANIEL H · 2018 to 2022
$2.9M
Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespanR01MH117014 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2019 to 2022
$2.9M
NIBIB NIH HHS R01 EB022573NIMH NIH HHS F31 MH123063NIMH NIH HHS K99 MH127293NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH113565NIMH NIH HHS R01 MH117014NIMH NIH HHS R01 MH119185NIMH NIH HHS R01 MH119219NIMH NIH HHS R01 MH120174NIMH NIH HHS R01 MH120482NIMH NIH HHS R37 MH125829NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS T32 MH019112
6 · The paper itself

Abstract

Delay discounting is a measure of impulsive choice relevant in adolescence as it predicts many real-life outcomes, including substance use disorders, obesity, and academic achievement. However, the functional networks underlying individual differences in delay discounting during youth remain incompletely described. Here we investigate the association between multivariate patterns of functional connectivity and individual differences in impulsive choice in a large sample of youth. A total of 293 youth (9-23 years) completed a delay discounting task and underwent resting-state fMRI at 3T. A connectome-wide analysis using multivariate distance-based matrix regression was used to examine whole-brain relationships between delay discounting and functional connectivity was then performed. These analyses revealed that individual differences in delay discounting were associated with patterns of connectivity emanating from the left dorsal prefrontal cortex, a hub of the default mode network. Delay discounting was associated with greater functional connectivity between the dorsal prefrontal cortex and other parts of the default mode network, and reduced connectivity with regions in the dorsal and ventral attention networks. These results suggest that delay discounting in youth is associated with individual differences in relationships both within the default mode network and between the default mode and networks involved in attentional and cognitive control.

Identifiers

PMID36747838
PMCPMC9900814

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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.