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Misconfigured striatal connectivity profiles in smokers

A figure from this studyFeatured Paper of the Month – November 2022

Published in Neuropsychopharmacology by Thomas Ross and Elliot Stein of the NIDA IRP Neuroimaging Research Branch.

Summary

The striatum, part of the forebrain, is critically involved in reward processes and substance use. Many of the inputs to the striatum come from frontal brain regions. One way to study these connections in living humans is using a technique called functional magnetic resonance imaging (fMRI). A common fMRI approach, resting-state functional connectivity, typically examines the temporal similarity of the signals from two brain areas: essentially looking at the connection between ‘point A’ and ‘point B.’ However, we know from animal studies and from anatomical tissue studies that the striatum receives inputs from many frontal regions simultaneously. Thus, the typical A-to-B analysis approach is likely a poor representation of what is happening in the brain.

In this paper, NIDA scientists created and implemented a novel analysis approach that they termed “connectivity profile analysis,” or CPA. This approach looks at the connections from all frontal regions to each striatal region. Using CPA, they are able to look for 3 types of misconfigurations: an overall difference in the strengths of connections, a change in the order of connection strengths and a change in the diversity of the connections.

This CPA approach was applied to people with nicotine use disorder (NUD) under two conditions, while on nicotine and after about 2 days abstinent, compared to a non-smoking group. They found two different misconfigurations in people with NUD. In the top (dorsal) region of the striatum, the order of connection strengths differed between people with NUD and the comparison group. This difference was present whether people with NUD were on nicotine or were abstinent. However, in the bottom (ventral) portion of the striatum there was a difference in overall strength of connections, but only when examining the people with NUD in the abstinent condition.

These findings underscore the potential for approaches that better model the biology of brain connections to yield deeper insights into the neural basis of substance use disorders. For example, the identified sites of misconfiguration could serve as useful targets for therapies like transcranial magnetic stimulation and/or as biomarker readouts for treatment efficacy.

Publication Information

Korponay, Cole; Stein, Elliot A; Ross, Thomas J

Misconfigured striatal connectivity profiles in smokers Journal Article

In: Neuropsychopharmacology, vol. 47, no. 12, pp. 2081–2089, 2022, ISSN: 1740-634X.

Abstract | Links

@article{pmid35752682,
title = {Misconfigured striatal connectivity profiles in smokers},
author = {Cole Korponay and Elliot A Stein and Thomas J Ross},
url = {https://pubmed.ncbi.nlm.nih.gov/35752682/},
doi = {10.1038/s41386-022-01366-6},
issn = {1740-634X},
year = {2022},
date = {2022-11-01},
urldate = {2022-11-01},
journal = {Neuropsychopharmacology},
volume = {47},
number = {12},
pages = {2081--2089},
abstract = {Dysregulation of frontal cortical inputs to the striatum is foundational in the neural basis of substance use disorder (SUD). Neuroanatomical and electrophysiological data increasingly show that striatal nodes receive appreciable input from numerous cortical areas, and that the combinational properties of these multivariate "connectivity profiles" play a predominant role in shaping striatal activity and function. Yet, how abnormal configuration of striatal connectivity profiles might contribute to SUD is unknown. Here, we implemented a novel "connectivity profile analysis" (CPA) approach using resting-state functional connectivity data to facilitate detection of different types of connectivity profile "misconfiguration" that may reflect distinct forms of aberrant circuit plasticity in SUD. We examined 46 nicotine-dependent smokers and 33 non-smokers and showed that both dorsal striatum (DS) and ventral striatum (VS) connectivity profiles with frontal cortex were misconfigured in smokers-but in doubly distinct fashions. DS misconfigurations were stable across sated and acute abstinent states (indicative of a "trait" circuit adaptation) whereas VS misconfigurations emerged only during acute abstinence (indicative of a "state" circuit adaptation). Moreover, DS misconfigurations involved abnormal connection strength rank order arrangement, whereas VS misconfigurations involved abnormal aggregate strength. We found that caudal ventral putamen in smokers uniquely displayed multiple types of connectivity profile misconfiguration, whose interactive magnitude was linked to dependence severity, and that VS misconfiguration magnitude correlated positively with withdrawal severity during acute abstinence. Findings underscore the potential for approaches that more aptly model the neurobiological composition of corticostriatal circuits to yield deeper insights into the neural basis of SUD.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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Dysregulation of frontal cortical inputs to the striatum is foundational in the neural basis of substance use disorder (SUD). Neuroanatomical and electrophysiological data increasingly show that striatal nodes receive appreciable input from numerous cortical areas, and that the combinational properties of these multivariate "connectivity profiles" play a predominant role in shaping striatal activity and function. Yet, how abnormal configuration of striatal connectivity profiles might contribute to SUD is unknown. Here, we implemented a novel "connectivity profile analysis" (CPA) approach using resting-state functional connectivity data to facilitate detection of different types of connectivity profile "misconfiguration" that may reflect distinct forms of aberrant circuit plasticity in SUD. We examined 46 nicotine-dependent smokers and 33 non-smokers and showed that both dorsal striatum (DS) and ventral striatum (VS) connectivity profiles with frontal cortex were misconfigured in smokers-but in doubly distinct fashions. DS misconfigurations were stable across sated and acute abstinent states (indicative of a "trait" circuit adaptation) whereas VS misconfigurations emerged only during acute abstinence (indicative of a "state" circuit adaptation). Moreover, DS misconfigurations involved abnormal connection strength rank order arrangement, whereas VS misconfigurations involved abnormal aggregate strength. We found that caudal ventral putamen in smokers uniquely displayed multiple types of connectivity profile misconfiguration, whose interactive magnitude was linked to dependence severity, and that VS misconfiguration magnitude correlated positively with withdrawal severity during acute abstinence. Findings underscore the potential for approaches that more aptly model the neurobiological composition of corticostriatal circuits to yield deeper insights into the neural basis of SUD.

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  • https://pubmed.ncbi.nlm.nih.gov/35752682/
  • doi:10.1038/s41386-022-01366-6

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