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1 aggage screeners, intelligence analysts, and gamblers.
2 ced significant improvement for pathological gamblers.
3 gambling were observed among the 3 groups of gamblers.
4 der and younger adult past-year recreational gamblers.
5 her negative associations among the heaviest gamblers.
6 ed with gambling distortions in pathological gamblers.
7 As in the case for the English language, the gambler algorithm gives significantly lower entropies th
8 ral parts of the striatum in 13 pathological gamblers and 15 healthy control subjects.
9 and incongruent stimuli in male pathological gamblers and a group of comparison subjects.
10  categorical difference between pathological gamblers and healthy control subjects in terms of dopami
11  were used to compare past-year recreational gamblers and nongamblers in the older and younger age gr
12                                              Gamblers and nongamblers were compared within each group
13 Twenty-three frequent, non-treatment seeking gamblers and twenty-three healthy matched controls (all
14 erapy but also motivational interviewing and Gamblers Anonymous, are supported in the treatment of ga
15 her formal treatment or attended meetings of Gamblers Anonymous.
16                                   Pathologic gamblers are known to have abnormal neural responses ass
17 a modulation of striatal reward responses in gamblers by addiction-related cues, and highlight a pote
18  cooperation together with development of a "gambler" cell subpopulation promote resistance evolution
19 sites leads to an antibiotic-induced mutable gambler-cell subpopulation.
20 even when options stay the same, like when a gambler changes bets despite constant odds of winning.
21 f this 'exploration-exploitation' dilemma, a gambler choosing between multiple slot machines balances
22 gher in the ventral striatum in pathological gamblers compared with control subjects.
23 hesis capacity was increased in pathological gamblers compared with healthy control subjects.
24 -frequency poker players, and 14 matched non-gambler controls, performed a modified version of the st
25 infrequent incongruent stimuli, pathological gamblers demonstrated decreased activity in the left ven
26                              In pathological gamblers, discounting may be further increased by the pr
27 iates, alcohol, nicotine, smokers, gambling, gamblers, gaming, and gamers.
28 ion of a nationally representative sample of gamblers grouped by age at onset of gambling has not bee
29                  In conclusion, pathological gamblers had higher impulsivity and functional paralimbi
30  for each mental health domain, pathological gamblers had lower HRQoL scores than problem gamblers (P
31 vity of the paralimbic network: Pathological gamblers had reduced synchronization at rest in the high
32 g reward and loss expectations in pathologic gamblers has not yet been investigated.
33 e not only indicates changes in pathological gamblers in core circuitry implicated in drug addiction,
34 ipants from the whole population, identified gamblers including self-defined, and specific population
35                            The "Chou-Fasman" gambler is an algorithm based on the Chou-Fasman rules f
36          In the present study, human problem gamblers made choices between immediate rewards and indi
37                                  Viewing the gamblers' net incomes as random walks, we study the mean
38 0.19; 95% CI: 0.06-0.61) and more frequently gamblers (OR 2.23; 95% CI: 1.22-4.07).
39 cannabis users (OR 2.35; 95% CI: 1.33-4.13), gamblers (OR 3.34; 95% CI: 2.18-5.11) and individuals wi
40 gamblers had lower HRQoL scores than problem gamblers (P<.05), who in turn had lower scores than non-
41 ho in turn had lower scores than non-problem gamblers (P<.05).
42 e to the behavioral inflexibility of problem gamblers, particularly the persistence in gambling behav
43 irected control but the way in which problem gamblers (PG) orchestrate model-based and model-free str
44 nd endogenous opioid release in pathological gamblers (PG) using [(11)C]carfentanil PET with an oral
45 FICANCE STATEMENT Wiehler et al. report that gamblers rely less on the strategic exploration of unkno
46  and a roulette game was used to examine the gambler's fallacy (color decisions following outcome run
47  with full misses), and manifested a classic gambler's fallacy effect.
48 hmidt on our recent correspondence about the gambler's fallacy in goalkeeper behaviour during penalty
49                                 Pathological gamblers share many neural correlates of Stroop task per
50                                              Gamblers showed a reduction in directed exploration, whe
51 ses showed that during directed exploration, gamblers showed reduced parietal cortex and substantia-n
52 cific reductions of strategic exploration in gamblers that might be linked to altered processing in a
53 eneralized Zipf analysis, and a "Chou-Fasman gambler." The k-tuplet analysis is a "letter" analysis,
54 gamblers were more likely than younger adult gamblers to begin gambling after age 18 years, to gamble
55   Male gamblers were more likely than female gamblers to report problems with strategic or "face-to-f
56       The characteristics of male and female gamblers utilizing a gambling helpline were examined to
57 ependence were observed in early-onset adult gamblers vs adult nongamblers, and only elevated rates o
58  of alcohol use were observed in adult-onset gamblers vs adult nongamblers.
59  of reduced frontal pole (FP) recruitment in gamblers was not supported.
60 early-onset adult, and adult-onset past-year gamblers were compared on measures of gambling attitudes
61 n which the decisions of ostensible previous gamblers were indicated below available options on each
62 nt subjective general health in recreational gamblers were mainly attributable to the older age group
63                   We found that pathological gamblers were more impulsive than controls in a stop-sig
64                                   Adolescent gamblers were more likely than adolescent nongamblers to
65                                         Male gamblers were more likely than female gamblers to report
66                                  Older adult gamblers were more likely than younger adult gamblers to
67                                         Male gamblers were more likely to report a drug problem or an
68 ntrolled, older adult past-year recreational gamblers were more likely to report past-year alcohol us
69                                       Female gamblers were more likely to report problems with nonstr
70                                       Female gamblers were more likely to report receiving nongamblin
71 ment interventions are recommended for sport gamblers who also drink concurrently, especially because
72                                 Furthermore, gamblers with a history of stimulant abuse had up to fou
73  gambling with poor self-control, we studied gamblers with and without previous stimulant abuse and a
74 or and affective instability in pathological gamblers with bipolar spectrum disorder.
75 o-controlled treatment study in pathological gamblers with bipolar spectrum disorders; it compares su
76  stop-signal task compared with controls and gamblers with previous stimulant abuse.
77 Subgroup analysis revealed that pathological gamblers without a history of stimulant abuse had lower
78                   We hypothesized that human gamblers would show a reduction in directed (uncertainty