ArticleHuman brain mapping2021
Dynamic frontostriatal functional peak connectivity (in alcohol use disorder).
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Cue-exposure treatment influences resting-state functional connectivity-a randomized controlled fMRI study in alcohol use disorder.Psychopharmacology · 2024Trial
- Feasibility of training the dorsolateral prefrontal-striatal network by real-time fMRI neurofeedback.Scientific reports · 2022Trial
- Frontostriatal Networks Undergo Functional Specialization during Adolescence That Follows a Ventral-Dorsal Gradient: Developmental Trajectories and Longitudinal Associations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Greater ventral striatal functional connectivity in cigarette smokers relative to non-smokers across a spectrum of alcohol consumption.Brain imaging and behavior · 2024Article
- Altered individual gray matter structural covariance networks in early abstinence patients with alcohol dependence.Brain imaging and behavior · 2024Article
- Association between iron accumulation in the dorsal striatum and compulsive drinking in alcohol use disorder.Psychopharmacology · 2023Article
- Comorbidity of Post-Traumatic Stress Disorder and Alcohol Use Disorder: Animal Models and Associated Neurocircuitry.International journal of molecular sciences · 2022Review
- Disruption of cerebellar-cortical functional connectivity predicts balance instability in alcohol use disorder.Drug and alcohol dependence · 2022Article
- Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study.Frontiers in neuroscience · 2022Article
- Dynamic connectivity patterns of resting-state brain functional networks in healthy individuals after acute alcohol intake.Frontiers in neuroscience · 2022Article
- Altered Cerebro-Cerebellar Dynamic Functional Connectivity in Alcohol Use Disorder: a Resting-State fMRI Study.Cerebellum (London, England) · 2021Article
- Dynamic frontostriatal functional peak connectivity (in alcohol use disorder).Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alcohol use disorder (AUD) is associated with changes in frontostriatal connectivity, but functional magnetic resonance imaging (fMRI) functional connectivity (FC) approaches are usually not adapted to these circuits. We developed a circuit-specific fMRI analysis approach to detect dynamic changes in frontostriatal FC inspired by medial-ventral-rostral to lateral-dorsal-caudal frontostriatal gradients originally identified in nonhuman primate tract-tracing data. In our PeaCoG ("peak connectivity on a gradient") approach we use information about the location of strongest FC on empirical frontostriatal connectivity gradients. We have recently described a basic PeaCoG version with conventional FC, and now developed a dynamic PeaCoG approach with sliding-window FC. In resting state data of n = 66 AUD participants and n = 40 healthy controls we continue here the analyses that we began with the basic version. Our former result of an AUD-associated ventral shift in right orbitofrontal cortex PeaCoG is consistently detected in the dynamic approach. Temporospatial variability of dynamic PeaCoG in the left dorsolateral prefrontal cortex is reduced in AUD and associated with self-efficacy to abstain and days of abstinence. Our method has the potential to provide insight into the dynamics of frontostriatal circuits, which has so far been relatively unexplored, and into their role in mental disorders and normal cognition.
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Registered trials
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.