A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

Matsuo, Koji; Nicoletti, Mark; Nemoto, Kiyotaka; Hatch, John P.; Peluso, Marco Aurélio Monteiro; Nery, Fabiano G.; Soares, Jair C.

doi:10.1002/hbm.20588

Cited by 227 publications

(242 citation statements)

References 60 publications

(67 reference statements)

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“…Our observation seems to complement previous reports (Matsuo et al 2009) where instead at the level of the lateral part of the OFC a negative correlation was observed between GM and BIS measured impulsivity. This is not surprising given that it is well known that the medial and lateral OFC have distinct neuro-anatomical connections (Ferry et al 2000;Kondo et al 2003Kondo et al , 2005 and functional roles (Noonan et al 2010;Mar et al 2011;Bechara 2005).…”

Section: Discussionsupporting

confidence: 92%

“…Thus, it seems reasonable to think that the positive relationship between GM volume and impulsivity in the MePFC/medial OFC may be the result of the engagement of reflective system (Bechara 2005) during decision making in subjects with higher impulsivity. Previous studies showed GM volume correlation in the OFC with motor impulsivity (Matsuo et al 2009). The lack of a similar correlation in our study may be due to the functional differences described above between the lateral and medial OFC and the fact that the latter region may be less sensitive to motor-related impulsivity.…”

Section: Discussionmentioning

confidence: 88%

“…Previous observations using self-reported measurement reported an inverse correlation between impulsive behaviour and GM volume in the lateral OFC (Lui et al 2009;Matsuo et al 2009). Boes et al (2009) showed that GM volume in the right MePFC predicted impulse control in adolescents.…”

Section: Introductionmentioning

confidence: 84%

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Morphometric Correlation of Impulsivity in Medial Prefrontal Cortex

et al. 2012

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Impulsivity is a complex behaviour composed of different domains encompassing behavioural disinhibition, risky decision-making and delay discounting abnormalities. To investigate regional brain correlates between levels of individual impulsivity and grey matter volume, we performed voxel-based morphometric correlation analysis in 34 young, healthy subjects using impulsivity scores measured with Barratt Impulsivity Scale-11 and computerized Kirby's delay discounting task. The VBM analysis showed that impulsivity appears to be reliant on a network of cortical (medial prefrontal cortex and dorsolateral prefrontal cortex) and subcortical (ventral striatum) structures emphasizing the importance of brain networks associated with reward related decisionmaking in daily life as morphological biomarkers for impulsivity in a normal healthy population. While our results in healthy volunteers may not directly extend to pathological conditions, they provide an insight into the mechanisms of impulsive behaviour in patients with abnormalities in prefrontal/frontal-striatal connections, such as in drug abuse, pathological gambling, ADHD and Parkinson's disease.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 88%

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Morphometric Correlation of Impulsivity in Medial Prefrontal Cortex

et al. 2012

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“…In our study, METH users with greater duration of METH use had smaller left caudal middle frontal volumes, suggesting that longer METH exposure may be more damaging in this region of the cortex. A study of healthy individuals found that smaller gray matter volume in the left and right orbitofrontal cortex and anterior cingulate cortex correlated with higher impulsivity, measured with the BIS (Matsuo et al, 2009). In our study, the caudal middle frontal volume was smaller in the METH users compared to the CON, which is consistent with others who similarly found smaller frontal gray matter volumes in METH users (Morales et al, 2012;Nakama et al, 2011).…”

Section: Thinner Frontal Cortices In Meth Usersmentioning

confidence: 99%

“…Impulsivity, measured with a delay-discounting task, correlated positively with gray matter density in the posterior cingulate cortex and ventral striatum and negatively with that in the left superior frontal gyrus (Schwartz et al, 2010). In non-drug using CON, gray matter volumes of the left OFC, right OFC, and left anterior cingulate cortex (ACC) correlated inversely with BIS total scores, and the left OFC volume also correlated inversely with motor impulsivity (Matsuo et al, 2009). These results suggest that smaller brain structures, perhaps due to effects of drugs, may account for more impulsive behavior observed.…”

Section: Introductionmentioning

confidence: 99%

Sex differences in impulsivity and brain volumes in methamphetamine users

Kogachi

Chang

Jiang

et al. 2015

Drug and Alcohol Dependence

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Methamphetamine (METH) is an addictive stimulant adversely affecting brain structure and function. The aim of this study was to investigate impulsivity and brain structures, and sex differences on these variables, between METH users and non-drug user controls (CON). Structural MRI was performed in 124 subjects: 62 METH (ages 41.2±1.4 years, 34 males, 28 females) and 62 CON (ages 43.3±2.3 years, 36 males, 26 females). FreeSurfer 5.1 automated morphometry was used to measure brain morphometry. Subjects completed the Barratt Impulsiveness Scale (BIS) questionnaire, which measures six factors. 2-way and repeated measures ANCOVA, co-varying for age, education, depressive symptoms, and intracranial volume, evaluated for independent and interactive effects of group status and sex. Relationships between METH usage characteristics, brain volumes, and impulsivity scores with significant group differences were examined with Pearson correlations. METH users had higher impulsivity scores in a majority of the factors (p<0.001-0.05). Male METH users had larger right superior frontal volumes compared to CON, while female METH users had smaller volumes compared to CON (p=0.02). Groupby-volume interactions were found in the right superior frontal (p=0.02) and right insula (p=0.02). In the male METH users, greater volumes in these regions were associated with less self-control. Female METH users had larger accumbens compared to female CON (p=0.03). METH users had consistently thinner left frontal cortical regions compared to CON (p=0.003). Consistent with prior reports, METH users were more impulsive and had thinner left frontal cortices than CON. Male METH users had larger superior frontal and insula volumes than CON, which was associated with less self-control (p=0.009-0.05). This was not seen in the female METH users, possibly due to a protective effect of estrogen from neuroinflammation in these regions. This suggests that men and women may be affected differently, and sex should be accounted for in brain morphometry studies.3

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Gene × Disease Interaction on Orbitofrontal Gray Matter in Cocaine Addiction

Alia‐Klein¹,

Parvaz²,

Woicik³

et al. 2011

Arch Gen Psychiatry

100

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Context Chronic cocaine use has been associated with structural deficits in brain regions having dopamine receptive neurons. However, the concomitant use of other drugs and common genetic variability in monoamine regulation present additional structural variability. Objective To examine variations in gray matter volume (GMV) as a function of lifetime drug use and the monoamine oxidase A (MAOA) genotype in men with cocaine use disorders (CUD) and healthy male controls. Design Cross-sectional comparison between 40 CUD and 42 controls scanned with magnetic resonance imaging (MRI) to assess GMV and genotyped for the MAOA polymorphism. The impact of cocaine addiction on GM was tested by 1) comparing CUD with controls, 2) testing diagnosis-by-MAOA interactions, and 3) correlating GMV with lifetime cocaine, alcohol, and cigarette smoking, and testing their unique contribution to GM beyond other factors. Outcome Measures GMV were derived from MRI with voxel-based-morphometry. Genotyping was performed for a functional polymorphism (a variable number tandem repeat or VNTR) in the promoter region of the MAOA gene with “high” and “low” alleles. Results 1) Individuals with CUD had reductions in GMV in the orbitofrontal (OFC), dorsolateral prefrontal (DLPFC) and temporal cortex, and hippocampus, compared to controls. 2) The OFC reductions were uniquely driven by CUD with low MAOA genotype and by lifetime cocaine use. 3) GMV in the DLPFC and hippocampus, was driven by lifetime alcohol use beyond the genotype and other pertinent variables. Conclusions This study documents for the first time, the enhanced sensitivity of CUD low MAOA carriers to GM loss, specifically in the OFC, indicating that this genotype may exacerbate the deleterious effects of cocaine in the brain. In addition, chronic alcohol use was a major contributor to GM loss in the DLPFC and hippocampus, and is likely to further impair executive function and learning in cocaine addiction.

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A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

Cited by 227 publications

References 60 publications

Morphometric Correlation of Impulsivity in Medial Prefrontal Cortex

Morphometric Correlation of Impulsivity in Medial Prefrontal Cortex

Sex differences in impulsivity and brain volumes in methamphetamine users

Gene × Disease Interaction on Orbitofrontal Gray Matter in Cocaine Addiction

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