ライフサイエンスコーパス: gambler

1 ed with gambling distortions in pathological gamblers.

2 aggage screeners, intelligence analysts, and gamblers.

3 ced significant improvement for pathological gamblers.

4 gambling were observed among the 3 groups of gamblers.

5 der and younger adult past-year recreational gamblers.

6 As in the case for the English language, the gambler algorithm gives significantly lower entropies th

7 ral parts of the striatum in 13 pathological gamblers and 15 healthy control subjects.

8 and incongruent stimuli in male pathological gamblers and a group of comparison subjects.

9 categorical difference between pathological gamblers and healthy control subjects in terms of dopami

10 were used to compare past-year recreational gamblers and nongamblers in the older and younger age gr

11 Gamblers and nongamblers were compared within each group

12 her formal treatment or attended meetings of Gamblers Anonymous.

13 Pathologic gamblers are known to have abnormal neural responses ass

14 a modulation of striatal reward responses in gamblers by addiction-related cues, and highlight a pote

15 f this 'exploration-exploitation' dilemma, a gambler choosing between multiple slot machines balances

16 gher in the ventral striatum in pathological gamblers compared with control subjects.

17 hesis capacity was increased in pathological gamblers compared with healthy control subjects.

18 -frequency poker players, and 14 matched non-gambler controls, performed a modified version of the st

19 infrequent incongruent stimuli, pathological gamblers demonstrated decreased activity in the left ven

20 In pathological gamblers, discounting may be further increased by the pr

21 iates, alcohol, nicotine, smokers, gambling, gamblers, gaming, and gamers.

22 ion of a nationally representative sample of gamblers grouped by age at onset of gambling has not bee

23 In conclusion, pathological gamblers had higher impulsivity and functional paralimbi

24 for each mental health domain, pathological gamblers had lower HRQoL scores than problem gamblers (P

25 vity of the paralimbic network: Pathological gamblers had reduced synchronization at rest in the high

26 g reward and loss expectations in pathologic gamblers has not yet been investigated.

27 e not only indicates changes in pathological gamblers in core circuitry implicated in drug addiction,

28 The "Chou-Fasman" gambler is an algorithm based on the Chou-Fasman rules f

29 In the present study, human problem gamblers made choices between immediate rewards and indi

30 gamblers had lower HRQoL scores than problem gamblers (P<.05), who in turn had lower scores than non-

31 ho in turn had lower scores than non-problem gamblers (P<.05).

32 nd endogenous opioid release in pathological gamblers (PG) using [(11)C]carfentanil PET with an oral

33 and a roulette game was used to examine the gambler's fallacy (color decisions following outcome run

34 with full misses), and manifested a classic gambler's fallacy effect.

35 hmidt on our recent correspondence about the gambler's fallacy in goalkeeper behaviour during penalty

36 Pathological gamblers share many neural correlates of Stroop task per

37 eneralized Zipf analysis, and a "Chou-Fasman gambler." The k-tuplet analysis is a "letter" analysis,

38 gamblers were more likely than younger adult gamblers to begin gambling after age 18 years, to gamble

39 Male gamblers were more likely than female gamblers to report problems with strategic or "face-to-f

40 The characteristics of male and female gamblers utilizing a gambling helpline were examined to

41 ependence were observed in early-onset adult gamblers vs adult nongamblers, and only elevated rates o

42 of alcohol use were observed in adult-onset gamblers vs adult nongamblers.

43 early-onset adult, and adult-onset past-year gamblers were compared on measures of gambling attitudes

44 nt subjective general health in recreational gamblers were mainly attributable to the older age group

45 We found that pathological gamblers were more impulsive than controls in a stop-sig

46 Adolescent gamblers were more likely than adolescent nongamblers to

47 Male gamblers were more likely than female gamblers to report

48 Older adult gamblers were more likely than younger adult gamblers to

49 Male gamblers were more likely to report a drug problem or an

50 ntrolled, older adult past-year recreational gamblers were more likely to report past-year alcohol us

51 Female gamblers were more likely to report problems with nonstr

52 Female gamblers were more likely to report receiving nongamblin

53 Furthermore, gamblers with a history of stimulant abuse had up to fou

54 gambling with poor self-control, we studied gamblers with and without previous stimulant abuse and a

55 or and affective instability in pathological gamblers with bipolar spectrum disorder.

56 o-controlled treatment study in pathological gamblers with bipolar spectrum disorders; it compares su

57 stop-signal task compared with controls and gamblers with previous stimulant abuse.

58 Subgroup analysis revealed that pathological gamblers without a history of stimulant abuse had lower