A biopsychological review of gambling disorder

Quintero, Gabriel C

doi:10.2147/ndt.s118818

Cited by 11 publications

(12 citation statements)

References 33 publications

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“…Quantitative electroencephalography (qEEG) involves power spectral analysis of frequency bands, such as delta (1–4 Hz), theta (5–7 Hz), alpha (8–13 Hz), and beta (14–30 Hz) ( Houston & Ceballos, 2013 ). Pathological gamblers show dysfunctional EEG activity, especially in the frontoparietal area ( Quintero, 2017 ). Some studies of the EEG correlates of gambling behavior have focused on reward sensitivity and decision-making ( Houston & Ceballos, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

EEG correlates associated with the severity of gambling disorder and serum BDNF levels in patients with gambling disorder

Kim

Choi²,

Lee³

et al. 2018

J Behav Addict

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Background and aimsThis study aimed to evaluate the association between the severity of pathological gambling, serum brain-derived neurotrophic factor (BDNF) level, and the characteristics of quantitative electroencephalography (EEG) in patients with gambling disorder.MethodsA total of 55 male patients aged 18–65 with gambling disorder participated. The severity of pathological gambling was assessed with the nine-item Problem Gambling Severity Index from the Canadian Problem Gambling Index (CPGI-PGSI). The Beck Depression Inventory and Lubben Social Network Scale were also assessed. Serum BDNF levels were assessed from blood samples. The resting-state EEG was recorded while the eyes were closed, and the absolute power of five frequency bands was analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), beta (12–30 Hz), and gamma (30–50 Hz).ResultsSerum BDNF level was positively correlated with theta power in the right parietal region (P4, r = .403, p = .011), beta power in the right parietal region (P4, r = .456, p = .010), and beta power in the right temporal region (T8, r = .421, p = .008). Gambling severity (CPGI-PGSI) was positively correlated with absolute beta power in the left frontal region (F7, r = .284, p = .043) and central region [(C3, r = .292, p = .038), (C4, r = .304, p = .030)].ConclusionsThese findings support the hypothesis that right-dominant lateralized correlations between BDNF and beta and theta power reflect right-dominant brain activation in addiction. The positive correlations between beta power and the severity of gambling disorder may be associated with hyperexcitability and increased cravings. These findings contribute to a better understanding of brain-based electrophysiological changes and BDNF levels in patients with pathological gambling.

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Section: Introductionmentioning

confidence: 99%

EEG correlates associated with the severity of gambling disorder and serum BDNF levels in patients with gambling disorder

Kim

Choi²,

Lee³

et al. 2018

J Behav Addict

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“…Literature reviews regarding gambling disorder (GD) neurobiology have been specialized on human,1,2 rodents,3,4 or combination of both 5,6. The main question of this review was: which are the main neurotransmitters systems and brain structures relevant for GD based on recent rodent studies?…”

Section: Introductionmentioning

confidence: 99%

“…In addition, other reviews focus on both human and rodent 5,6,15,16. The Norbury and Husain publications review points that a high level of sensation seeking is a factor related to gambling and substance addiction 5.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Additionally, another review by Quintero concludes that pathological and nonpathological gamblers can differ in terms of brain´s anatomy, brain´s physiology, electroencephalography (EEG) profile, executive and cognitive efficiency 6. For instance, fellows with GD can denote alterations in the insula, OFC, and frontal lobe;6 moreover, fellows with GD compared to nonpathological gambler show differences in frontoparietal activation pattern (if winning or losing a game) and insular activity (altered cognitive interpretation of near-miss results and trial success) related to gaming 6. With respect to anatomical differences between gamblers and non-gamblers, the first ones show more gray-matter volume compared to normal subjects, based on magnetic resonance imaging technology; furthermore, gamblers have a smaller size of right thalamus, right hippocampus, and left putamen compared to normal subjects 6.…”

Section: Introductionmentioning

confidence: 99%

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<p>Review: brain neurobiology of gambling disorder based on rodent models</p>

Quintero¹

2019

NDT

Self Cite

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Different literature reviews of gambling disorder (GD) neurobiology have been focused on human studies, others have focused on rodents, and others combined human and rodent studies. The main question of this review was: which are the main neurotransmitters systems and brain structures relevant for GD based on recent rodent studies? This work aims to review the experimental findings regarding the rodent´s neurobiology of GD. A search in the Pub Med database was set (October 2012–October 2017) and 162 references were obtained. After screening, 121 references were excluded, and only 41 references remained from the initial output. More, other 25 references were added to complement (introduction section, neuroanatomical descriptions) the principal part of the work. At the end, a total of 66 references remained for the review. The main conclusions are: 1) according to studies that used noninvasive methods for drug administration, some of the neurotransmitters and receptors involved in behaviors related to GD are: muscarinic, N-methyl-D-aspartate (NMDA), cannabinoid receptor 1 (CB 1 ), cannabinoid receptor 2 (CB 2 ), dopamine 2 receptor (D 2 ), dopamine 3 receptor (D 3 ), and dopamine 4 receptor (D 4 ); 2) moreover, there are other neurotransmitters and receptors involved in GD based on studies that use invasive methods of drug administration (eg, brain microinjection); example of these are: serotonin 1A receptor (5-HT 1A ), noradrenaline receptors, gamma-aminobutyric acid receptor A (GABA A ), and gamma-aminobutyric acid receptor B (GABA B ); 3) different brain structures are relevant to behaviors linked to GD, like: amygdala (including basolateral amygdala (BLA)), anterior cingulate cortex (ACC), hippocampus, infralimbic area, insular cortex (anterior and rostral agranular), nucleus accumbens (NAc), olfactory tubercle (island of Calleja), orbitofrontal cortex (OFC), medial prefrontal cortex (mPFC), prefrontal cortex (PFC) – subcortical network, striatum (ventral) and the subthalamic nucleus (STN); and 4) the search for GD treatments should consider this diversity of receptor/neurotransmitter systems and brain areas.

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