Greater BOLD activity but more efficient connectivity is associated with better cognitive performance within a sample of nicotine-deprived smokers

Travis T. Nichols, Kathleen M. Gates, Peter C.M. Molenaar, Stephen J. Wilson

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The first few days of an attempt to quit smoking are marked by impairments in cognitive domains, such as working memory and attention. These cognitive impairments have been linked to increased risk for relapse. Little is known about individual differences in the cognitive impairments that accompany deprivation or the neural processing reflected in those differences. In order to address this knowledge gap, we collected functional magnetic resonance imaging (fMRI) data from 118 nicotine-deprived smokers while they performed a verbal n-back task. We predicted better performance would be associated with more efficient patterns of brain activation and effective connectivity. Results indicated that performance was positively related to load-related activation in the left dorsolateral prefrontal cortex and the left lateral premotor cortex. Additionally, effective connectivity patterns differed as a function of performance, with more accurate participants having simpler, more parsimonious network models than did worse participants. Cognitive efficiency is typically thought of as less neural activation for equal or superior behavioral performance. Taken together, findings suggest cognitive efficiency should not be viewed solely in terms of amount of activation but that both the magnitude of activation within and degree of covariation between task-critical structures must be considered. This research highlights the benefit of combining traditional fMRI analysis with newer methods for modeling brain connectivity. These results suggest a possible role for indices of network functioning in assessing relapse risk in quitting smokers as well as offer potentially useful targets for novel intervention strategies. The first few days of an attempt to quit smoking are marked by impairments in cognition. Little is known about individual differences in the cognitive impairments that accompany acute cigarette deprivation or the neural mechanisms underlying this variability. To address this knowledge gap, we assessed brain activation and connectivity in 118 nicotine-deprived smokers during the performance of an effortful cognitive task (verbal n-back). Better task performance was associated with greater activation but simpler pattern of connectivity among task-related brain regions.

Original languageEnglish (US)
Pages (from-to)931-940
Number of pages10
JournalAddiction Biology
Volume19
Issue number5
DOIs
StatePublished - Sep 2014

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Nicotine
Brain
Individuality
Smoking
Magnetic Resonance Imaging
Efficiency
Recurrence
Motor Cortex
Task Performance and Analysis
Prefrontal Cortex
Short-Term Memory
Tobacco Products
Cognition
Cognitive Dysfunction
Research

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Pharmacology
  • Psychiatry and Mental health

Cite this

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title = "Greater BOLD activity but more efficient connectivity is associated with better cognitive performance within a sample of nicotine-deprived smokers",
abstract = "The first few days of an attempt to quit smoking are marked by impairments in cognitive domains, such as working memory and attention. These cognitive impairments have been linked to increased risk for relapse. Little is known about individual differences in the cognitive impairments that accompany deprivation or the neural processing reflected in those differences. In order to address this knowledge gap, we collected functional magnetic resonance imaging (fMRI) data from 118 nicotine-deprived smokers while they performed a verbal n-back task. We predicted better performance would be associated with more efficient patterns of brain activation and effective connectivity. Results indicated that performance was positively related to load-related activation in the left dorsolateral prefrontal cortex and the left lateral premotor cortex. Additionally, effective connectivity patterns differed as a function of performance, with more accurate participants having simpler, more parsimonious network models than did worse participants. Cognitive efficiency is typically thought of as less neural activation for equal or superior behavioral performance. Taken together, findings suggest cognitive efficiency should not be viewed solely in terms of amount of activation but that both the magnitude of activation within and degree of covariation between task-critical structures must be considered. This research highlights the benefit of combining traditional fMRI analysis with newer methods for modeling brain connectivity. These results suggest a possible role for indices of network functioning in assessing relapse risk in quitting smokers as well as offer potentially useful targets for novel intervention strategies. The first few days of an attempt to quit smoking are marked by impairments in cognition. Little is known about individual differences in the cognitive impairments that accompany acute cigarette deprivation or the neural mechanisms underlying this variability. To address this knowledge gap, we assessed brain activation and connectivity in 118 nicotine-deprived smokers during the performance of an effortful cognitive task (verbal n-back). Better task performance was associated with greater activation but simpler pattern of connectivity among task-related brain regions.",
author = "Nichols, {Travis T.} and Gates, {Kathleen M.} and Molenaar, {Peter C.M.} and Wilson, {Stephen J.}",
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N2 - The first few days of an attempt to quit smoking are marked by impairments in cognitive domains, such as working memory and attention. These cognitive impairments have been linked to increased risk for relapse. Little is known about individual differences in the cognitive impairments that accompany deprivation or the neural processing reflected in those differences. In order to address this knowledge gap, we collected functional magnetic resonance imaging (fMRI) data from 118 nicotine-deprived smokers while they performed a verbal n-back task. We predicted better performance would be associated with more efficient patterns of brain activation and effective connectivity. Results indicated that performance was positively related to load-related activation in the left dorsolateral prefrontal cortex and the left lateral premotor cortex. Additionally, effective connectivity patterns differed as a function of performance, with more accurate participants having simpler, more parsimonious network models than did worse participants. Cognitive efficiency is typically thought of as less neural activation for equal or superior behavioral performance. Taken together, findings suggest cognitive efficiency should not be viewed solely in terms of amount of activation but that both the magnitude of activation within and degree of covariation between task-critical structures must be considered. This research highlights the benefit of combining traditional fMRI analysis with newer methods for modeling brain connectivity. These results suggest a possible role for indices of network functioning in assessing relapse risk in quitting smokers as well as offer potentially useful targets for novel intervention strategies. The first few days of an attempt to quit smoking are marked by impairments in cognition. Little is known about individual differences in the cognitive impairments that accompany acute cigarette deprivation or the neural mechanisms underlying this variability. To address this knowledge gap, we assessed brain activation and connectivity in 118 nicotine-deprived smokers during the performance of an effortful cognitive task (verbal n-back). Better task performance was associated with greater activation but simpler pattern of connectivity among task-related brain regions.

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