Cited by 203Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on BehaviorNeuroendocrine regulation and behavior

Testosterone levels correspond with increased ventral striatum activation in response to monetary rewards in adolescents

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Op de Macks, Zdeňa A., Moor, Bregtje Gunther, Overgaauw, Sandy, Güroğlu, Berna, Dahl, Ronald E., Crone, Eveline A.·2011·Developmental Cognitive Neuroscience

Abstract

Risk taking is an integral part of learning and development, particularly during adolescence the prevalence of risky behaviors peak. It is hypothesized that the tendency to take risks is related to pubertal maturation, where there is interplay between gonadal hormones, the neural mechanisms that underlie affective (e.g., reward) processing, and risky behavior. To test this hypothesis, fifty healthy adolescents (aged 10-16 years; 33 girls, 17 boys) at different stages of puberty performed a gambling task while lying in the MRI scanner, and provided saliva samples for hormone assessment. Gonadal hormone levels were correlated with the neural response to receiving a monetary reward. Results showed that testosterone level correlated positively with activation in the striatum for both boys and girls, suggesting that individual differences in hormones at puberty are related to the way adolescents respond to reward, which can ultimately affect risk-taking behavior.

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Written from the paper’s full text.

TL;DR

In 50 healthy adolescents aged 10–16, salivary testosterone was positively associated with ventral striatum activation to monetary reward versus loss in both boys and girls. The authors interpret this as evidence that pubertal gonadal hormones may contribute to heightened reward sensitivity, though effects in girls were weaker and analyses did not survive strict multiple-comparison correction.

Key findings

  • Testosterone positively predicted reward > loss activation in the ventral striatum: boys showed bilateral ventral striatum activation at whole-brain p < .001, girls showed left ventral striatum activation at p < .005; independent nucleus accumbens ROI correlations were boys r = .75 and girls r = .34, both p < .05.
  • Hierarchical regression showed age alone did not significantly predict striatal activation (boys R² = .26, p = .06; girls R² = .00, p = .99), while adding testosterone explained additional variance (boys ΔR² = .31, p = .017; girls ΔR² = .14, p = .044). In boys the combined model was significant, F(2, 11) = 5.71, p = .01, with only testosterone significant, b = .031, t(11) = 2.8, p = .017; in girls the combined model was not significant, F(2, 27) = 2.24, p = .126, but testosterone was positively related, b = .044, t(27) = 2.12, p = .044.
  • Participants chose to spin more often on low-risk trials (mean = 90.4%) than high-risk trials (mean = 37.3%), F(1, 49) = 162.95, p < .001, with no significant sex differences. Testosterone levels were significantly higher in boys than girls, t(42) = 1.77, p = .04.
  • Reward > loss main effects included dorsal and ventral striatum and medial orbitofrontal cortex; boys and girls separately showed bilateral striatum activation, with no sex differences. In girls, estradiol at p < .005 related to dorsal striatum, DLPFC, and medial PFC.

Methods

  • Fifty healthy, right-handed adolescents aged 10–16 years (33 girls, 17 boys) participated; after exclusions for insufficient spin/feedback trials, hormone–fMRI analyses included 14 boys (M age = 13.4, SD = .56) and 30 girls (M age = 12.9, SD = .38). Participants provided saliva samples for testosterone, estradiol, and DHEA and completed the Pubertal Development Scale (PDS) and picture-based interview about puberty (PBIP).
  • While in a 3T Philips scanner, participants performed the Jackpot gambling task: on each trial they could choose to spin (low-risk or high-risk) or reset, then received reward, loss, or reset feedback. There were 50 trials (20 low-risk, 30 high-risk).
  • fMRI data were analyzed in SPM5 using a GLM; reward and loss outcomes were modeled at feedback onset, and whole-brain regression analyses tested hormone levels as predictors of the reward > loss contrast separately for boys and girls. MarsBaR ROI analyses and hierarchical regression predicting nucleus accumbens activation from age and testosterone were also performed.

Limitations

  • Stated: age was correlated with puberty score and testosterone, potentially confounding the testosterone–striatum relation; hierarchical regression indicated testosterone, not age, was the better predictor, but future studies should disentangle age and pubertal development using a narrower age range and sex matching.
  • Stated: analyses did not survive strict corrections for multiple comparisons; the testosterone relation in girls was found only at a less stringent threshold and was less robust, possibly due to lower testosterone variability, menstrual-cycle instability, or measurement error.
  • Evident: the sample was small, especially for boys (n = 14); the design was cross-sectional and correlational, so causality cannot be established; the girls’ combined age-plus-testosterone model was not significant; and the authors note they lacked power to test an age-by-sex interaction.

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Registry

Crossref · 10.1016/j.dcn.2011.06.003

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

7 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Claims the paper makes

0 of 36 cited sources checked · 0 supported · 0 flagged

  • Findingown data
    § a b s t r a c t

    Testosterone level correlated positively with activation in the striatum for both boys and girls.

    “Results showed that testosterone level correlated positively with activation in the striatum for both boys and girls”
    • Also stated in: § 3.4. Hormone level as predictor · plain
      “A whole-brain regression analysis with testosterone level as predictor on the contrast reward &gt; loss in boys ( n = 14) showed that boys with higher testosterone levels had more activation in the bilateral ventral striatum (Fig. 4A, left panel).”
    Quote in the paperSubstantial claim
  • Findingown data
    § 3.2. Hormone results

    Testosterone levels were significantly higher in boys than in girls.

    “As predicted, testosterone levels were significantly higher in boys than in girls, t (42) = 1.77, p = .04.”
    Quote in the paperNot a substantial claim
  • Findingown data
    § 3.4. Hormone level as predictor

    Testosterone level predicted the extent of activation in several areas of the ventral striatum, such that higher levels of testosterone corresponded with increased reward-related activation in both boys and girls.

    “As can be seen in Fig. 5, testosterone level predicted the extent of activation in these several areas of the ventral striatum, such that higher levels of testosterone corresponded with increased reward-related activation in both boys and girls.”
    • Also stated in: § 4.3. Gonadal hormone levels correspond with stronger reward-related activation · plain
      “Results showed that testosterone levels were positively associated with activation in the ventral striatum in response to a monetary reward.”
    • Also stated in: § 4.3. Gonadal hormone levels correspond with stronger reward-related activation · plain
      “Specifically, in the nucleus accumbens it was found that both in boys and girls higher testosterone levels predicted more reward-related activation.”
    Quote in the paperSubstantial claim
  • Findingown data
    § 3.4. Hormone level as predictor

    Boys with higher testosterone levels had more activation in the bilateral ventral striatum on the reward > loss contrast.

    “A whole-brain regression analysis with testosterone level as predictor on the contrast reward &gt; loss in boys ( n = 14) showed that boys with higher testosterone levels had more activation in the bilateral ventral striatum (Fig. 4A, left panel).”
    Quote in the paperSubstantial claim
  • Findingown data
    § 3.3. Reward processing: main effects

    A two-sample t-test did not result in different levels of activation in boys versus in girls.

    “A two-sample t -test did not result in different levels of activation in boys versus in girls.”
    Quote in the paperNot a substantial claim
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  • The quote only partly states this claim. 2
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    Findingown data
    § 3.1. Task performance

    There were no significant sex differences in choice selection; both boys and girls selected 'spin' more often in the low-risk condition compared to the high-risk condition, and did so to the same extent.

    “No significant sex differences in choice selection were found; both boys and girls selected 'spin' more often in the low-risk (LR) condition compared to the high-risk (HR) condition, and did so to the same extent (boy vs. girl for LR: 91.5% vs. 89.8%, for HR: 31.0% vs. 40.6%), F (1, 48) = .99, p &gt; .05 (Fig. 2).”
    Quote in the paperNot a substantial claim
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    Findingown data
    § 3.4. Hormone level as predictor

    In girls, the model including both age and testosterone was not significant (F(2, 27) = 2.24, p = .126), but there was a positive relation between testosterone and striatal activation (b = .044, t(27) = 2.12, p = .044).

    “In girls, the model including both predictors was not significant, F (2, 27) = 2.24, p = .126, however, there was a positive relation between testosterone and striatal activation, b = .044, t (27) = 2.12, p = .044.”
    Quote in the paperSubstantial claim
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    Findingown data
    § 4.1. Girls and boys exhibit similar risk taking behavior

    Participants showed increased risk taking on low-risk trials compared to high-risk trials, and this pattern was similar for boys and girls.

    “As predicted, participants showed increased risk taking on low-risk trials compared to high-risk trials, and this pattern of behavior was similar for boys and girls.”
    Quote in the paperNot a substantial claim
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    Findingown data
    § 3.4. Hormone level as predictor

    In girls, testosterone level as predictor on the reward > loss contrast did not result in activation at p < .001, but at p < .005, activation was observed in the left ventral striatum at a similar location as in boys.

    “This analysis did not result in activation at the threshold p &lt; .001, but when the threshold was lowered to p &lt; .005, activation was observed in the left ventral striatum at a similar location as in boys (Fig. 4A, right panel).”
    Quote in the paperNot a substantial claim
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    Findingown data
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    In the left nucleus accumbens ROI, follow-up tests confirmed the whole-brain analyses and resulted in positive correlations between testosterone and activation for both boys (r = .75) and girls (r = .34), both p's < .05.

    “In girls this relation was only found at a less stringent threshold but was statistically confirmed using an independent sphere ROI analysis.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 3.2. Hormone results

    Estradiol levels and DHEA levels did not differ significantly between boys and girls.

    “Estradiol levels and DHEA levels did not differ significantly between boys and girls (both p 's &gt; .05).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data
    § 3.4. Hormone level as predictor

    In boys, the model predicting striatal activation by age and testosterone was significant (F(2, 11) = 5.71, p = .01), and only testosterone level explained a significant proportion of the variance in activation in the ventral striatum (b = .031, t(11) = 2.8, p = .017).

    “The model in which striatal activation was predicted by age and testosterone was significant in boys, F (2, 11) = 5.71, p = .01, and tests of the individual regression coefficients showed that only testosterone level explained a significant proportion of the variance in activation in the ventral striatum, b = .031, t (11) = 2.8, p = .017.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 3.2. Hormone results

    Average PDS score did not differ significantly between boys and girls, and average PBIP score did not differ significantly between boys and girls.

    “Average PDS score did not differ significantly between boys (mean = 2.0) and girls (mean = 2.5, p &gt; .05), and similarly average PBIP score demonstrated no significant differences between boys (mean = 3.0) and girls (mean = 3.1, p &gt; .05; Table 1).”
    Quote in the paperNot a substantial claim
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    Findingown data
    § 3.4. Hormone level as predictor

    Age as a single predictor did not account for a significant proportion of the variance in activation of the ventral striatum in boys (R2 = .26, F(1, 12) = 4.18, p = .06) nor in girls (R2 = .00, F(1, 28) = .00, p = .99).

    “Results of this analysis showed that age as a single predictor did not account for a significant proportion of the variance in activation of the ventral striatum in boys, R 2 = .26, F (1, 12) = 4.18, p = .06, nor in girls, R 2 = .00, F (1, 28) = .00, p = .99.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    Adolescents showed no sex differences in reward processing; boys and girls displayed similar bilateral activation of the striatum.

    “Adolescents showed no sex differences in reward processing; boys and girls displayed similar bilateral activation of the striatum.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    For the contrast reward > loss, regions of activation for all participants included the dorsal and ventral striatum and the medial orbitofrontal cortex; for boys and girls separately, activation included the bilateral striatum in both groups.

    “When participants chose to take a risk and won (i.e., received a monetary reward), they recruited brain areas including the dorsal and ventral striatum, and the medial orbitofrontal cortex (OFC).”
    Quote in the paperNot a substantial claim
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    Premisecitation
    § a b s t r a c t

    The preference for risk taking peaks at around age 14.

    “One study that replicated this developmental peak in risky behavior in an experimental setting showed that the preference for risk taking peaks at around age 14 (Burnett et al., 2010).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Burnett et al., 2010 source

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    Premisecitation
    § 1.1. Developmental peak in reward sensitivity

    The striatum is sensitive to monetary rewards.

    “The adult literature using such paradigms has shown that the striatum is sensitive to (monetary) rewards (Breiter et al., 2001; Delgado, 2007; McClure et al., 2004).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Breiter et al., 2001 source

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    • cites Delgado, 2007 source

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    Premisecitation
    § a b s t r a c t

    Sensation seeking peaks in adolescence, and girls reach their peak at a younger age than boys.

    “Sensation seeking not only peaks in adolescence, but also girls reach their peak at a younger age than boys (Romer and Hennessy, 2007), possibly due to sex differences in pubertal maturation.”
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    • cites Romer and Hennessy, 2007

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    Premisecitation
    § a b s t r a c t

    Sensation seeking is a personality trait related to risk-taking behavior.

    “Sensation seeking is regarded as a personality trait that is related to risk-taking behavior (Llewellyn, 2008).”
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    • cites Llewellyn, 2008

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    Premisecitation
    § a b s t r a c t

    Sensation seeking appears to increase in association with pubertal maturation.

    “There has been particular interest in sensation seeking which appears to increase in association with pubertal maturation (Steinberg, 2008; Forbes and Dahl, 2010).”
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    • cites Steinberg, 2008 source

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    • cites Forbes and Dahl, 2010

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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    In adults, higher testosterone levels result in increased striatal activity during reward anticipation.

    “Another study in adults that administered testosterone and focused on neural processing during reward anticipation showed that higher testosterone levels resulted in increased striatal activity (Hermans et al., 2010).”
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    • cites Hermans et al., 2010

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    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Competition is associated with increased testosterone levels, and winning as opposed to losing a monetary reward during a hypothetical competition is associated with a higher increase of testosterone levels.

    “These findings are also in line with previous literature showing that competition is associated with increased testosterone levels, and more importantly, winning as opposed to losing a monetary reward during a hypothetical competition is associated with a higher increase of testosterone levels (Archer, 2006).”
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    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    High basal levels of testosterone are associated with neurochemical and behavioral changes in response to winning as opposed to losing, whereas low basal levels of testosterone are not.

    “Furthermore, high basal levels of testosterone are associated with neurochemical and behavioral changes in response to winning as opposed to losing, whereas low basal levels of testosterone are not (Mehta et al., 2008)”
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    • cites Mehta et al., 2008

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    Premisecitation
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    Brain areas including the dorsal and ventral striatum and medial orbitofrontal cortex play a key role in reward processing.

    “These brain areas play a key role in reward processing (Haber and Knutson, 2010).”
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    • cites Haber and Knutson, 2010 source

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    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Neuroanatomical studies have shown that gonadal hormones at puberty are associated with changes in both gray and white matter, with testosterone and estradiol showing differential effects in adolescent boys and girls.

    “Furthermore, neuroanatomical studies have shown that gonadal hormones at puberty are associated with changes in both gray and white matter, with testosterone and estradiol showing differential effects in adolescent boys and girls (Peper et al., 2011).”
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    Premisecitation
    § 2.5. fMRI preprocessing and statistical analysis

    Because the time-course, physiology, hormones, and component physical changes of pubertal maturation differ markedly for boys and girls, all analyses were performed separately for each sex.

    “Because the time-course, physiology, hormones, and component physical changes of pubertal maturation differ markedly for boys and girls (Dorn et al., 2006), all analyses were performed separately for each sex”
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    Premisecitation
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    In the context of uncertainty (e.g., gambling task), the dorsal striatum responds to valence (reward or loss) and magnitude of outcomes, showing strongest activation to large monetary rewards and weakest activation to large monetary losses.

    “previous studies have shown that in the context of uncertainty (e.g., gambling task) also the dorsal striatum responds to valence (reward or loss) and magnitude of outcomes, showing strongest activation to large monetary rewards, and weakest activation to large monetary losses (Delgado et al., 2003).”
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    • cites Delgado et al., 2003 source

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    Study design and conductown data
    § 2.2. Pubertal assessment

    Hormone levels were relatively stable across two days and provided a reliable indicator of basal hormone level.

    “The mean hormone levels across the three samples that were collected each day correlated highly between the two days for both testosterone ( r = .93, p &lt; .001), estradiol ( r = .86, p &lt; .001), and DHEA ( r = .83, p &lt; .001), indicating that hormone levels were relatively stable across days, and hence a reliable indicator of the participant's basal hormone level.”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    In the Iowa gambling task, higher testosterone levels lead participants to choose more often from card decks that resulted in large monetary rewards, despite a net monetary loss.

    “More specifically, when performing the Iowa gambling task, higher testosterone levels lead participants to choose more often from card decks that resulted in large (as opposed to moderate) monetary rewards, despite a net monetary loss.”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    Reward processing changes with menstrual cycle phase.

    “However, it has been found that reward processing changes with menstrual cycle phase (Dreher et al., 2007).”
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    Premisecitation
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    The medial OFC specifically responds to abstract rewards, such as monetary gain.

    “The medial OFC specifically responds to abstract rewards, such as monetary gain (Kringelbach and Rolls, 2004).”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    Changes in gonadal hormone levels are associated with changes in the magnitude and/or extent of the response to reward, specifically in the striatum.

    “This model suggests that changes in gonadal hormone levels (or different levels of puberty) are associated with changes in the magnitude and/or extent of the response to reward, specifically in the striatum.”
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    Interpretationcitation
    § 1.1. Developmental peak in reward sensitivity

    The adolescent inclination to take risks might be associated with increased sensitivity to rewards, as indicated by an adolescent-specific peak in activation of the striatum.

    “suggesting that the adolescent inclination to take risks might be associated with increased sensitivity to rewards, as indicated by an adolescent-specific peak in activation of the striatum.”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    The exact nature of changes in affective processing, the relation with gonadal hormones, and how they affect motivational behavior in adolescents is not yet well understood.

    “However, the exact nature of these changes, the relation with gonadal hormones, and how they affect motivational behavior in adolescents is not yet well understood (Doremus-Fitzwater et al., 2010).”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    Testosterone contributes to a shift to less punishment sensitivity and relatively greater reward sensitivity.

    “This was interpreted as testosterone contributing to a shift to less punishment sensitivity and relatively greater reward sensitivity (Van Honk et al., 2004).”
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    Interpretationown data
    § a b s t r a c t

    Individual differences in hormones at puberty are related to the way adolescents respond to reward, which can ultimately affect risk-taking behavior.

    “suggesting that individual differences in hormones at puberty are related to the way adolescents respond to reward, which can ultimately affect risk-taking behavior.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Individual differences in reward-related striatal activation affect risk-taking behavior.
    • Rests on an assumption: The sample of healthy adolescents aged 10-16 is representative of the broader adolescent population.
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    Premisecitation
    § 1.1. Developmental peak in reward sensitivity

    In response to rewards, adolescents recruit similar brain regions (including the striatum) as children and adults.

    “Developmental studies have shown that in response to rewards, adolescents recruit similar brain regions (including the striatum) as children and adults.”
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    • cites Geier and Luna, 2009 source

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    Interpretationreasoning
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Both functional and structural changes in the brain are associated with individual differences in gonadal hormone levels at puberty.

    “These findings suggest that both functional and structural changes in the brain are associated with individual differences in gonadal hormone levels at puberty.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § 4.1. Girls and boys exhibit similar risk taking behavior

    It is unlikely that the absence of sex differences in risk taking is related to small rewards per se; rather, it is likely that the absence of a forced gamble results in different patterns of risk taking.

    “Thus, it is unlikely that the absence of sex differences is related to small rewards per se, but rather, it is likely that the absence of a forced gamble results in different patterns of risk taking.”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    Exogenous administration of testosterone increases the likelihood of disadvantageous or risky decision-making in adults.

    “Previous studies have shown in adults that the exogenous administration of testosterone increases the likelihood of disadvantageous or risky decision-making.”
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    • cites Van Honk et al., 2004

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    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Nelson's social information processing network (SIPN) model predicts that affective changes (e.g., changes in reward processing) are associated with changes in limbic brain regions, such as the nucleus accumbens, that are specifically influenced by gonadal hormones.

    “These findings are in line with Nelson's social information processing network (SIPN) model, which predicts that affective changes (e.g., changes in reward processing) are associated with changes in limbic brain regions, such as the nucleus accumbens, that are specifically influenced by gonadal hormones (Nelson et al., 2005).”
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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    In adolescents at different pubertal stages, higher natural testosterone levels correspond with increased striatal activity during reward anticipation, but with decreased striatal activity during reward outcome processing.

    “Similar results were found in adolescents at different pubertal stages; the natural occurrence of higher testosterone levels corresponded with increased striatal activity during reward anticipation, but with decreased striatal activity during reward outcome processing (Forbes et al., 2010)”
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    Study design and conductown data
    § 2.4. MRI data acquisition

    Average head movement was .09 mm for boys and .09 mm for girls, with no significant sex differences.

    “Average head movement was .09 mm (SD = .05) for boys and .09 mm (SD = .05) for girls, and there were no significant sex differences in head motion ( p &gt; .05).”
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    Premisecitation
    § 1.1. Developmental peak in reward sensitivity

    The extent to which these brain regions are recruited differs across age groups.

    “However, the extent to which these brain regions are recruited differs across age groups (Geier and Luna, 2009).”
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    • cites Geier and Luna, 2009 source

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    Premisecitation
    § 1.1. Developmental peak in reward sensitivity

    At the moment of receiving a reward, the striatum response is stronger in adolescents compared to children and adults.

    “However, the convergence of evidence appears to support the model that specifically at the moment of receiving a reward, the striatum response is stronger in adolescents compared to children and adults (Galvan, 2010)”
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    • cites Galvan, 2010

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    Premisecitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    Changes in affective processing during adolescence may be associated with the increase of gonadal hormones at puberty that influence neural processing in the limbic brain regions, such as the striatum.

    “According to Nelson et al. (2005) changes in affective processing during adolescence (e.g., reward processing and reorientation to peer social stimuli) may be associated with the increase of gonadal hormones at puberty that influence neural processing in the limbic brain regions, such as the striatum (see SIPN model: Nelson et al., 2005).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Nelson et al., 2005 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.2. Girls and boys recruit similar brain areas in response to monetary reward

    The ventral striatum has been associated with coding for subjective value of reward.

    “Whereas the ventral striatum has been associated with coding for subjective value of reward (Peters and Büchel, 2010)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Peters and Büchel, 2010 source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation
    § 1.2. Pubertal maturation, gonadal hormones, and reward processing

    The relation between testosterone and striatal activity differs depending on the phase of risky decision making.

    “suggesting that the relation between testosterone and striatal activity differs depending on the phase of risky decision making.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    The neural response to reward may have represented different phases of reward processing in these two paradigms, possibly explaining the discrepancy in results.

    “Thus, the neural response to reward may have represented different phases of reward processing in these two paradigms, possibly explaining the discrepancy in results.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductown data
    § 4.4. Limitations

    Age was correlated with puberty score and testosterone level, possibly confounding the relation between testosterone and striatum activation.

    “One limitation of this study calls for cautious interpretation of the findings, namely that age was correlated with puberty score and testosterone level, possibly confounding the relation between testosterone and striatum activation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    The absence of a robust relation between gonadal hormones and reward-related activation in girls might be due to girls having less stable hormone levels due to the menstrual cycle, or possible measurement errors.

    “A possible explanation for the absence of a robust relation between gonadal hormones and reward-related activation in girls, despite showing similar neural responses to reward compared to boys, might be that girls have less stable hormone levels due to the menstrual cycle, or possible measurement errors which are summarized below.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Estradiol is a more reliable measure of pubertal development in girls.

    “Results for estradiol, a more reliable measure of pubertal development in girls (Shirtcliff et al., 2009), also showed a positive relation with reward-related activation in the dorsal striatum, DLPFC, and medial PFC, although again at a less stringent threshold.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Shirtcliff et al., 2009

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Estrogen-replacement therapy in postmenopausal women protects against cognitive decline across different domains of cognitive functioning, including attention, memory, and reasoning.

    “Also, estrogen-replacement therapy in postmenopausal women protects against cognitive decline across different domains of cognitive functioning, including attention, memory, and reasoning (Sherwin, 2002).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Sherwin, 2002

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    The more robust relation between testosterone and reward-related activation in boys may be due to lower variability in testosterone level in girls than in boys.

    “The relation between testosterone and reward-related activation was more robust in boys than in girls, possibly due to lower variability in testosterone level in girls than in boys.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    The discrepancy with Forbes et al. may be explained by a difference in experimental paradigms: in Forbes et al.'s study a card-guessing game was used, and the neural response to reward was measured during the outcome phase time-locked to feedback presentation, whereas in the Jackpot task outcome and feedback were presented simultaneously and the neural response was time-locked to this combined ' '

    “A possible explanation for this discrepancy is the difference in experimental paradigms; in Forbes et al.'s study a card-guessing game was used in which participants guessed whether the next playing card would be lower or higher than the stimulus card presented.”
    • Also stated in: § 4.3. Gonadal hormone levels correspond with stronger reward-related activation · plain
      “In the Jackpot task outcome (i.e., appearance of fruit in the third slot) and feedback (i.e., appearance of blue or red bar indicating gain or loss respectively) were presented simultaneously, and the neural response to reward was time-locked to this 'combined' presentation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.3. Gonadal hormone levels correspond with stronger reward-related activation

    Previous studies have shown that cognitive performance (e.g., working memory) changes across the menstrual cycle.

    “Indeed previous studies have shown that cognitive performance (e.g., working memory) changes across the menstrual cycle (Jacobs and D'Esposito, 2011)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jacobs and D'Esposito, 2011

      Not checked in the free run.

52 of 52
  • The paper relies on this without support.

    Individual differences in reward-related striatal activation affect risk-taking behavior.

    “which can ultimately affect risk-taking behavior”
    “suggesting that the adolescent inclination to take risks might be associated with increased sensitivity to rewards”
  • The paper relies on this without support.

    The sample of healthy adolescents aged 10-16 is representative of the broader adolescent population.

    “fifty healthy adolescents (aged 10-16 years; 33 girls, 17 boys) at different stages of puberty”
    “suggesting that individual differences in hormones at puberty are related to the way adolescents respond to reward”
2 of 2

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent neuroimaging studies support the idea that pubertal development plays a role in developmental change in the sensitivity of the striatum to reward.

    “Recent neuroimaging studies also support the idea that, in addition to having profound effects on brain structure [a topic not covered in the present article; see Blakemore et al. (2010) and Smith et al. (2013) for reviews], pubertal development plays a role in developmental change in the sensitivity of the striatum to reward (Braams et al., 2015, Forbes et al., 2010, Op de Macks et al., 2011).”

    From The dual systems model: Review, reappraisal, and reaffirmation (2016) · cites this paper as Op de Macks et al., 2011

  • Increased testosterone has been associated with increased risk-taking on laboratory tasks among both boys and girls.

    “In addition, increased testosterone has been associated with increased risk-taking on laboratory tasks among both boys and girls (Op de Macks et al., 2011, Peper and Dahl, 2013).”

    From Becoming a sexual being: The “elephant in the room” of adolescent brain development (2017) · cites this paper as Op de Macks et al., 2011

  • The majority of neurodevelopmental studies in humans have identified testosterone, rather than estradiol, as the hormone most correlated with striatal activity related to risk-taking and social motivation in females.

    “The majority of neurodevelopmental studies in humans have identified testosterone, rather than estradiol, as the hormone most correlated with striatal activity related to risk-taking and social motivation in females”

    From Becoming a sexual being: The “elephant in the room” of adolescent brain development (2017) · cites this paper as Op de Macks et al., 2011

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • p-value fits an unstated one-tailed test: t (42) = 1.77, p = .04

    Minor

    The paper reports p = .04 here; recomputing from the test statistic and its degrees of freedom gives p = .084 (two-tailed). The reported value is what a one-tailed test gives, but the paper does not say near this result that a one-tailed test was used.

    Reported p = .04 · recomputed p = .084

  • Inconsistent p-value: F (2, 11) = 5.71, p = .01

    Minor

    The paper reports p = .01 here; recomputing from the test statistic and its degrees of freedom gives p = .020. The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p = .01 · recomputed p = .020

2 of 2

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upt(42) = 1.77reported p = .04 · recomputed p = .084

    “t (42) = 1.77, p = .04”

  • Doesn’t add upF(2, 11) = 5.71reported p = .01 · recomputed p = .020

    “F (2, 11) = 5.71, p = .01”

  • ConsistentF(1, 12) = 4.18reported p = .06 · recomputed p = .063

    “F (1, 12) = 4.18, p = .06”

  • ConsistentF(1, 28) = 0reported p = .99 · recomputed p = 1.000

    “F (1, 28) = .00, p = .99”

  • Consistentt(11) = 2.8reported p = .017 · recomputed p = .017

    “t (11) = 2.8, p = .017”

  • ConsistentF(2, 27) = 2.24reported p = .126 · recomputed p = .126

    “F (2, 27) = 2.24, p = .126”

  • Consistentt(27) = 2.12reported p = .044 · recomputed p = .043

    “t (27) = 2.12, p = .044”

7 of 7

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Girls' testosterone-puberty correlation is called both significant and nonsignificant

    Major

    Table 1 marks the girls' PDS-testosterone correlation as significant, and the results text also says the hormone correlations were significant. A later sentence says that this same correlation was not significant.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Cocosco, 1997, Brain web: online interface to a 3D MRI simulated brain database, Neuroimage, 5, S452

Cited by

Sorted by citations

Authors
Op de Macks, Z. A., Moor, B. G., Overgaauw, S., Güroğlu, B., Dahl, R. E., & Crone, E. A.
Affiliations
  • Leiden University (NL)
  • University of California, Berkeley (US)
Venue
Developmental Cognitive Neuroscience
Publisher
Elsevier BV
Published
2011-10
Volume
1
Issue
4
Pages
506-516
ISSN
1878-9293 (ISSN-L)
OpenAlex
W2010914795
Cited by
203
References
49
Citations by year
2026: 9 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 14 · 2021: 8 · 2020: 17 · 2019: 13 · 2018: 29 · 2017: 19 · 2016: 14 · 2015: 21 · 2014: 15 · 2013: 11 · 2012: 8
FWCI
5.68
Type
journal article
Language
en
Open access
Locations
  • Developmental Cognitive Neuroscience (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UvA-DARE (University of Amsterdam) (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Social Sciences › Psychology › Social Psychology › Neuroendocrine regulation and behavior
Keywords
testosterone, ventral striatum, monetary rewards, adolescents, puberty, gonadal hormones, risk-taking, gambling task, reward processing, individual differences, pubertal development
MeSH terms
Adolescent, Adolescent Behavior, Basal Ganglia, Child, Female, Gambling, Humans, Magnetic Resonance Imaging, Male, Photic Stimulation, Reward, Risk-Taking, Testosterone, Biomarkers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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