Accepted Manuscript Title: The effect of estrogen synthesis inhibition on hippocampal memory Author: Janine Bayer Gabriele Rune Heidrun Schultz Michael J. Tobia Imke Mebes Olaf Katzler Tobias Sommer PII: DOI: Reference:
S0306-4530(15)00098-0 http://dx.doi.org/doi:10.1016/j.psyneuen.2015.03.011 PNEC 2950
To appear in: Received date: Revised date: Accepted date:
9-12-2014 5-3-2015 5-3-2015
Please cite this article as: Bayer, J., Rune, G., Schultz, H., Tobia, M.J., Mebes, I., Katzler, O., Sommer, T.,The effect of estrogen synthesis inhibition on hippocampal memory, Psychoneuroendocrinology (2015), http://dx.doi.org/10.1016/j.psyneuen.2015.03.011 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Estrogen synthesis inhibition and memory. Bayer et al.
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The effect of estrogen synthesis inhibition on hippocampal memory
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Janine Bayera, Gabriele Runeb, Heidrun Schultza, Michael J. Tobiaac, Imke Mebesd, Olaf
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Katzlere , Tobias Sommera
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Running title: Estrogen synthesis inhibition and memory.
Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf,
b
an
Hamburg, Germany
Department of Neuroanatomy, University Medical Center Hamburg-Eppendorf, Hamburg,
c
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Germany
Department of Radiology, Pennsylvania State University College of Medicine, Hershey,
d
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Pennsylvania, United States of America
Department of Gynecology, University Medical Center Hamburg-Eppendorf, Hamburg,
Mammazentrum am Jerusalem Krankenhaus, Hamburg, Germany
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e
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Germany
Corresponding author: Janine Bayer, Department of Systems Neuroscience, University Medical
Center
Hamburg-Eppendorf,
Martinistr.
52,
20246
Hamburg,
Germany,
[email protected], Tel.: +49-40-7410-55781, Fax.: +49-40-7410-59955
Email addresses:
Gabriele Rune,
[email protected]; Heidrun Schultz,
[email protected];
Michael Tobia,
[email protected]; Imke Mebes,
[email protected]; Olaf Katzler,
[email protected]; Tobias Sommer,
[email protected] Page 1 of 40
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Abstract 17-beta-estradiol (E2) facilitates long term-potentiation (LTP) and increases spine synapse
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density in hippocampal neurons of ovariectomized rodents. Consistent with these beneficial effects on the cellular level, E2 improves hippocampus-dependent memory. A prominent
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approach to study E2 effects in rodents is the inhibition of its synthesis by letrozole, which reduces LTPs and spine synapse density. In the current longitudinal functional magnetic
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resonance imaging (fMRI) study, we translated this approach to humans and compared the
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impact of E2 synthesis inhibition on memory performance and hippocampal activity in postmenopausal women taking letrozole (n = 21) to controls (n = 24). In particular, we employed
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various behavioral memory paradigms that allow the disentanglement of hippocampusdependent and -independent memory. Consistent with the literature on rodents, E2 synthesis
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inhibition specifically impaired hippocampus-dependent memory, however, this did not apply to the same degree to all of the employed paradigms. On the neuronal level, E2 depletion tended to decrease hippocampal activity during encoding, whereas it increased activity in the
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anterior cingulate and the dorsolateral prefrontal cortex. We thus infer that the inhibition of
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E2 synthesis specifically impairs hippocampal functioning in humans, whereas the increased prefrontal activity presumably reflects a compensatory mechanism, which is already known from studies on cognitive aging and Alzheimer's disease.
Keywords: memory; hippocampus; estrogen; aromatase inhibitors; dual process model
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1. Introduction Since the observation that hippocampal synapse density covaries with oestrus-cycle-
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dependent changes in 17-beta-estradiol (E2) concentrations, it has been known that E2 also influences non-reproductive brain circuits (Woolley et al., 1990). For example, the
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experimental administration of E2 and its precursors increases spine synapse density,
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promotes spine maturation and enhances the magnitude of long-term potentiation (LTP; Li et al., 2004; Smith et al., 2009). Interestingly, these effects on hippocampal plasticity are not
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mainly mediated by E2 derived from the gonads (Fester et al., 2006; Rune et al., 2006; Kretz et al., 2004). Instead, the de novo synthesis of E2 by hippocampal neurons is essential to
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the maintenance of hippocampal synapses (Kretz et al., 2004). Hippocampal E2 levels can actually exceed serum E2 levels (Hojo et al., 2004; Kato and Kawato, 2013). Systemic
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application of the aromatase inhibitor letrozole, i.e. the decrease of endogenous E2 levels, reduces spine synapse density and impairs LTP, even in the hippocampus of ovariectomized
al., 2010).
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female mice, i.e. in the absence of E2 synthesized in the ovaries (Vierk et al., 2012; Zhou et
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Consistent with the cellular actions of E2, a positive association between E2 and hippocampus-dependent spatial memory has been described in rodents (Gibbs et al., 2004; Harburger et al., 2007). In humans, the effects of E2 on memory have mostly been explored in the context of hormone therapies (HT), where E2 is primarily exogenously applied to treat osteoporosis and other menopause-related health problems. Based on the different HT regimens with respect to the hormonal compounds, doses and time of onset after menopause, the observed effects of HT on memory are highly inconsistent (Hogervorst and Bandelow, 2010). Contrary to the effects of exogenous E2 treatment employed in the HT-studies, we explored
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the understudied influence of endogenously synthesized E2 in postmenopausal women. In particular, we characterized the effect of letrozole - which is used for neoadjuvant treatment of estrogen receptor positive breast cancer - on memory and hippocampal activity. We
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focused on postmenopausal women as they have low peripheral E2 baseline levels, similar to the ovariectomized rodents that showed reduced hippocampal plasticity in response to
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letrozole treatment (Fester et al., 2012; Zhou et al., 2010). A longitudinal design was employed in which a cohort of postmenopausal women with an indication for letrozole
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treatment was tested prior to, and 3 to 6 months after onset of aromatase inhibition, and this cohort was then compared to an age-matched control group.
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To characterize the impact of E2 depletion on neural plasticity in the hippocampus (Zhou et al., 2010), we studied brain activity during episodic memory formation using fMRI. In
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particular, we employed an established paradigm (Staresina and Davachi, 2006), in which hippocampal activity during encoding correlates with subsequent memory performance. We
the control group.
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hypothesized a relative decline in memory-related hippocampal activity in the AI compared to
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Episodic memory can be based on hippocampus-dependent, but also on hippocampus-
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independent processes. Whereas the hippocampus is critically involved in retrieving an item together with associated contextual information (associative memory or recollection), recognizing an item without any associated information (item memory or familiarity) can be based purely on the parahippocampal cortices (Davachi, 2006). Behaviorally, we therefore employed three process-specific memory tests to disentangle the effect of E2 depletion on hippocampus-dependent and -independent forms of episodic memory. Such process-specific memory tests are highly sensitive to subtle changes in memory performance and allow a more specific inference to the underlying neural substrates, i.e. the hippocampus vs. parahippocampal cortices (Yonelinas, 2002). We hypothesized that there is a specific decline
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in hippocampus-dependent but not in parahippocampus-dependent memory processes, i.e. in recollection but not familiarity. Additionally, standard neuropsychological tests and questionnaires were applied to identify potential confounding variables between participants
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of the AI and control group.
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2. Material and methods 2.1 Participants and general procedure
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Participants of the 'Aromatase Inhibition group' (AI group) were recruited during the breast
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cancer consulting hour at the University Medical-Center of Hamburg Eppendorf and at the Mammazentrum of the Jerusalem Hospital in Hamburg. Participants for the control group (C
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group) were recruited during the breast consulting hour and through advertisements. Twenty-three postmenopausal participants aged between 56 and 75 years (M = 67.39, SD =
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4.70) with receptor-sensitive breast cancer stage I to stage III and an indication for neoadjuvant aromatase inhibitor therapy (AI group) completed the current study. Information on the individual disease burden of the AI participants was not acquired. A sample of twenty-
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six postmenopausal women aged between 52 and 79 years (M = 67.29, SD = 7.19), without
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an indication for aromatase inhibitor therapy, constituted the control group. The C group consisted of 24 women without a current cancer diagnosis, one woman with a ductal carcinoma in situ and one woman who had undergone a mastectomy after breast-cancer diagnosis. One woman from the control group had received chemotherapy 11 months prior to testing. None of the other women from either the AI group or the C group had a history of chemotherapy. None of the participants received a cranial radiotherapy; the number of participants receiving a local radiotherapy of the breast is listed in Table 1. One control and two AI participants were excluded from all analyses, based on scores below the cut off value of 12 in the DemTect dementia screening test (for remaining sample sizes, see
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Supplementary Table 1). For the reasons specified in Supplementary Table 1, the sample size for particular tests was slightly reduced. All participants were right-handed. All procedures were carried out with the adequate understanding and written consent of the
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participants. The study was approved by the ethics committee of the medical association of Hamburg, and the participants were paid financial compensation for their participation.
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Participants were studied longitudinally at two measurement points (T1 & T2), which each comprised testing on two days. T1 served as a baseline and was scheduled more than 4
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months after breast cancer surgery (M = 224.67 days, SD = 52.77) and before onset of AI therapy in the AI group. T2 was scheduled so that subjects from the AI group had received at
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least three months of AI therapy (M = 127.10 days, SD = 28.06). At each measurement point, episodic memory performance was explicitly characterized using four different memory
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paradigms, i.e. a visual, a verbal source and an associative memory recognition task plus a neuropsychological free recall test, as well as a self-reported subjective memory
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questionnaire (see Supplementary Table 1). The associative memory task was performed in the scanner. In addition, neuropsychological tests (Table 3) and psychosocial questionnaires
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(see Table 2) were administered to identify potential confounding group differences with
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respect to intelligence, executive functions, verbal fluency, working memory, anxiety, depression, quality of life, menopausal symptoms and experienced memory and attention failures. Because E2 synthesis is reduced by >98% in postmenopausal women, no E2 levels were assessed (Geisler and Lønning, 2005).
- Please insert Table 1 around here.Table 1. Means (M), standard deviations (SD) and case numbers (n) for sample characteristics. The last column shows p-values (p) of independent-sample t-tests.
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2.2 Memory paradigms Behavioral memory performance was assessed by means of two recognition tasks, i.e. a
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verbal source memory task and a visual memory task, as well as by a neuropsychological memory test (see supplementary methods for detailed description of the tasks). The verbal
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source memory task was adapted from Prull and colleagues (2006). In this paradigm, subjects first encode two word lists. During retrieval, subjects see the words from the two
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lists, intermixed with new words, and have to identify words from a specific list (e.g. the first list). This paradigm allows the estimation of the contribution of recollection (hippocampus-
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dependent) and familiarity (hippocampus-independent) to recognition performance based on the process dissociation framework (Jacoby, 1991). The visual memory task was adapted
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from Howard and colleagues (Howard et al., 2006). In this task, subjects first encode photos from various travel destinations. During retrieval, old pictures are presented intermixed with
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new pictures. Participants have to judge on a 6-point Likert scale, ranging from ‘very sure old’ to ‘very sure new’, whether they recognize the picture and how confident they are about
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their decision. This paradigm allows the estimation of the contribution of recollection and
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familiarity to recognition performance, based on fitting the dual-process model to the individual
receiver-operating
characteristic
curves
(Yonelinas,
2002).
As
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neuropsychologically validated free recall test, the 'Verbaler Lern- und Merkfähigkeitstest' (VLMT; Helmstaedter et al., 2001), the German equivalent of the Rey auditory verbal learning test (RAVLT), was administered. In this test, a list of 15 words is read to the subject five times. After each round, subjects are asked to recall as many words as possible; performance in the fifth round is considered 'immediate verbal memory'. Next, a new, interfering list of 15 words is read to the subject only once. Subjects then recall as many words as they can from that list, directly followed by another recall of list 1. After a 30 minute
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delay, subjects again recall the words from list 2 ('delayed verbal memory'). To study changes in the neural activity during episodic memory encoding, a modified version of an established word-color association task was employed (Supplementary Figure 2;
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Staresina and Davachi, 2006). In this task, subjects encode words presented on a colored square while lying in the scanner. During retrieval, also performed inside the scanner but
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without acquiring fMRI-volumes, subjects first have to freely recall the encoded words. Subsequently, the target words are presented intermixed with new words. For every word
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participants have to indicate whether they recognize the word, and with which color it was paired during encoding. See supplementary material for detailed descriptions of all memory
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tasks.
To assess subjective memory failures, the 'Fragenbogen zur Erfassung alltäglicher
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Gedächtnisleistungen' (FEAG), the German version of the 'Inventory of Memory
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Experiences' (IME), was used.
2.3 Acquisition, preprocessing and analysis of functional imaging data
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High-resolution T1-weighted structural MR images were acquired in a 3 T system (Siemens
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Trio) by using a standard 3D-MPRAGE sequence (TR 2300 ms, TE 2.89 ms, flip angle 9°, 1 mm slices, field of view 256 x 192; 240 slices). Event-related functional MRI scans were acquired with an echo planar imaging T2*-sensitive sequence in 40 contiguous axial slices (2 mm thickness with 1 mm gap; TR, 2380 ms; TE, 25 ms; flip angle, 80°; field of view, 204 x 204; matrix 102 x 102).
Functional MRI data were preprocessed and analyzed using standard workflows of Statistical Parametric Mapping (SPM8; Wellcome Department of Imaging Neuroscience, London, UK; see supplementary material for details). In the functional analysis, activity during encoding of items was modeled dependent on the subsequent memory performance,
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i.e. whether an item was later free recalled, whether it was recognized and the associated color was also correctly recognized, or whether it was recognized but the associated color was incorrectly recognized. Areas where activity associated to successful encoding was
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affected by E2 depletion were identified by a time by condition interaction on the group level. Results of all analyses were considered significant at p < .05; the family-wise error was
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corrected for multiple comparisons of the entire scan volume and within predefined anatomical regions of interest (ROIs), namely the hippocampus, the anterior cingulate cortex
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(ACC) and the dorsolateral prefrontal cortex (DLPFC; Amunts et al., 2005; Tzourio-Mazoyer
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et al., 2002).
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3. Results 3.1 Behavioral Results
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3.1.1 Sample Table 1 summarizes characteristics of the participants included in statistical analyses.
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Experimental groups did not significantly differ with respect to age, delay between
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measurement points, the number of years since menopause, the use of HT, the number of nulliparous women or years of education (Table 1).
3.1.2 Questionnaires
Means, standard deviations and p-values of statistical analyses for the questionnaires are summarized in Table 2 and Table 3. Questionnaires were used to assess potential confounds such as potential group differences in mood, anxiety, perceived stress and subjective quality of life that could be caused by disease burden and AI therapy in the AI
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group. To present the full picture, we will also highlight trend-level significant results, because in such a relatively heterogeneous sample a high inter-individual variability is expected within the groups, which increases the risk of type II errors.
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Regarding menopausal symptoms, subjects reported more urogenital menopausal symptoms at T2 compared to T1, irrespective of group (F(1, 43) = 4.07, p = .050). In line with
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existing literature on common side effects of AI therapy, somatic menopausal symptoms showed a significant time by group interaction (F(1, 43) = 1.93, p = .006; see Table 2;
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Gallicchio et al., 2012) driven by an increase in somatic menopausal symptoms in the AI but not the control group.
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Concerning psychological questionnaires, subjects reported higher psychological tension (F(1, 43) = 3.14, p = .083) and more attentional failures at T2 compared to T1, irrespective of
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group (trend-level significance; F(1, 43) = 3.24, p = .079). Controls showed significantly higher trait anxiety (t(42) = 2.14, p = .038) and reported more perceived demands, i.e.
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perceived external stressors (trend-level significance; F(1, 43) = 3.90, p = .055). Additionally, participants of the control group reported more attentional failures than the AI group (F(1, 43)
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= 6.52, p = .014). Perceived demands (F(1, 43) = 5.68, p = .022) and state anxiety showed a
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time by group interaction (trend-level significance; F(1, 42) = 3.53, p = .067), driven by an increase over time in the control but not in the AI group. Generalized anxiety also showed a time by group interaction (trend-level significance; F(1, 43) = 3.42, p = .071), again driven by an increase in the control group only. The observation that the controls reported more anxiety at the second measurement point is consistent with the findings of Knowles et al (1996). The authors claim that anxiety changes in non-treatment groups can be related to a more accurate reporting of anxiety symptoms at the second measurement point (Knowles et al., 1996). As participants become more familiar with the questionnaire, they become better in understanding the questions and respond more adequately. The AI group, on the other
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hand, had generally lower trait anxiety levels, but they filled out the questionnaires for the first time briefly after receiving their breast cancer diagnoses, an event that is most likely associated with a relative peak in currently experienced anxiety. Therefore, it is certainly
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plausible that this group did not show a similar increase in anxiety symptoms, as did the control group, when they filled out the questionnaire again. There were no significant main
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effects or interactions with respect to depression or perceived global health.
In summary, participants of the AI group did not show significant increases in anxiety, stress
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or depression, so that potential (negative) effects of E2 deprivation on memory performance in the AI group are not confounded by changes in psychological well-being. On the contrary,
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the AI group performed slightly better in tests of fluid intelligence, executive control and
the two groups.
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3.1.3 Neuropsychological testing
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working memory, which is most likely related to differences in the recruitment strategies for
Means, standard deviations and p-values of statistical analyses for the neuropsychological
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tests are summarized in Table 2 and Table 3. Neuropsychological tests (except of the VLMT)
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were used to investigate potential further cognitive side effects of AI therapy, aside from changes in hippocampus-dependent memory. Short-term memory in the forward block span improved from T1 to T2, irrespective of group (see Table 3). Improvements were detected in the lexical switch, a test of verbal fluency, as well as in figural memory (both tests trend-level significance; F(1, 43) = 2.94, p = .094; F(1, 39) = 3.13, p = .085). It is of note that these performance gains associated with familiarization to the testing procedure occurred, although parallel versions of the respective tasks were used on each occasion. The effects of repeated testing are a common issue in longitudinal studies, and can even mask the effects of cognitive aging (Salthouse, 2010).
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The participants of the AI group were faster with respect to general processing speed (F(1, 43) = 5.02, p = .028) and had a better working memory for the block span backward (F(1, 42) = 4.95, p = .032), Moreover, participants of the AI group performed better in the block
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design test, a test of abstract intelligence, and the attentional switch, a test of executive function, than the controls (both tests trend-level significance; t(43) = -1.82, p = .075; F(1,
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43) = 4.01, p = .052).
Altogether, general neuropsychological performance did not yield a significant influence of
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E2 deprivation. As such, potential decrements in hippocampus-dependent memory performance cannot be attributed to changes in other cognitive domains (i.e. executive
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functions) assessed in the present study.
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- Please insert Table 2 around here.-
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Table 2. Means (M), standard deviations (SD) and case numbers (n) for psychosocial questionnaires. The last three columns present p-values (p) of the statistical analyses (* = p < .05.** = p < .05 † = p
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< .1). Significant or trend-level significant means and p-values are highlighted in bold font.
#
As these
tests were conducted only once, statistical analyses were performed by means of two-sample t-tests. Significant change (p < .05) from T1 to T2 within the respective group (paired-sample t-test).
b
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a
Statistical trend towards a significant change (p < .1) from T1 to T2 within the respective group (pairedsample t-test).
1
German equivalent to the Inventory of Memory Experiences (IME; Hermann &
Neisser, 1978).
- Please insert Table 3 around here.-
Table 3. Results of neuropsychological tasks. The last three columns present p-values (p) of the statistical analyses (* = p < .05,** = p < .05, † = p < .1). Significant or trend-level significant means and p-values are highlighted in bold font.
#
As these tests were conducted only once, statistical
analyses were performed by means of two-sample t-tests.
b
Statistical trend towards a significant
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change (p < .1) from T1 to T2 within the respective group (paired-sample t-test).
3.1.4 Assessment of memory performance
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Subjective memory failures
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The questionnaire assessing subjective memory failures was used to explore whether AI therapy has a subjective impact on everyday memory. In addition, potential subjective
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changes in memory performance could be contrasted with the objective memory outcomes. Irrespective of group, subjects reported an increase in memory failures at T2 compared to T1
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(F(1, 43) = 4.21, p = .046; Table 2). Irrespective of time point, controls reported significantly more memory failures than the AI participants (F(1, 43) = 4.30, p = .044). Subjective memory
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failure did not show a significant time by group interaction. In summary, current data give no
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evidence that AI therapy affects subjective everyday memory performance.
VLMT (German equivalent of the Rey auditory verbal learning test)
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The VLMT was used to test the primary hypothesis that AI therapy specifically impairs hippocampus-dependent memory, as it has been shown that predominantly delayed memory in this task is affected by hippocampal lesions. The immediate condition of the VLMT showed neither significant effects of time (F(1,40) = 0.79, p = .379) nor group (F(1,40) = 2.11, p = .154), nor a significant time by group interaction F(1,40) = 0.79, p = .379). The delayed condition of the VLMT did not show significant effects of time (F(1,36) = 0.06, p = .804) or group (F(1,36) = 2.49, p = .124), but yielded a significant group by time interaction (F(1,36) = 4.60, p = .039) that was driven by an increase in the control, but not the AI group. Altogether, only the hippocampus-dependent condition of the verbal memory test showed a
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significant impact of AI therapy. In particular, whereas the control group benefited from the familiarization with the testing procedure and performed better at the second visit, this was
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not the case for AI participants.
Verbal Source Memory Task
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The verbal source memory task was employed to test the primary hypothesis that AI therapy specifically impairs source memory that relies on the hippocampus-dependent process
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recollection. The design of the verbal source memory task does not allow the calculation of corrected hit rates. Recollection as estimated by the process dissociation procedure did not
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vary significantly between time points (F(1,43) = 0.93, p = .762) or groups, (F(1,43) = 0.004, p = .953), but showed a significant time by group interaction (F(1,43) = 12.410, p = .001;
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Figure 1, A) that was driven by a decrease in the AI and an increase in the control group. Familiarity, also estimated by the process dissociation procedure, were higher at T2
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compared with T1 (F(1,43) = 4.42, p = .041), but differed neither significantly between groups (F(1,43) = 1.75, p = .193), nor did they show a time by group interaction (F(1,42) = 0.74, p =
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.395). In sum, only the hippocampus-dependent memory process recollection was
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significantly affected by AI therapy. Again, the observed group difference was mainly driven by the increase in performance in the control group that benefited from familiarization with the testing procedure.
Visual memory task
The visual memory task was used to test the primary hypothesis that AI therapy specifically impairs the hippocampus-dependent memory process, i.e. recollection, but not familiarity. Corrected hit rates revealed a main effect of time (trend-level significance; F(1,41) = 3.05, p = .088), with better performances at T 2 (M = 0.43 ± 0.16) compared to T1 (M = 0.41 ± 0.14).
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Additionally, corrected hit rates yielded a significant main effect of group (F(1,41) = 6.74, p = .031), in that the AI group (M = 0.48 ± 0.14) performed better than the controls (M = 0.37 ± 0.14). Corrected hit rates did not show a significant group by time interaction (F(1,41) = 1.32,
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p = .256). Recollection, as estimated by fitting the data to the dual process model, did not yield a
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significant main effect of time (F(1,41) = 2.01, p = .164), but the main effect of group suggested higher recollection in the AI compared with the control group (trend-level
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significance; F(1,41) = 3.12, p = .085). Recollection showed a time by group interaction (trend-level significance; F(1,41) = 3.41, p = .072; Figure 1, B) driven by a significant
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increase in the control (t(21) = -3.24, p = .004) but not in the AI group (t(20) = 0.25, p = .809). Familiarity, also estimated by fitting the data to the dual process model, did not change
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significantly across time points (F(1,41) = 0.06, p = .803), but showed a significant main effect of group (F(1,41) = 6.40, p = .015; Figure 2, B) indicating higher familiarity in the AI
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group. The group by time interaction suggested an increase in familiarity in the AI relative to the control group (trend-level significance; F(1,41) = 3.89, p = .055). In summary, the current
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data provide only weak evidence that AI therapy impairs hippocampus-dependent memory in
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the visual domain (Figure 1, B).
Word-color association task (fMRI paradigm) The word-color association task was used to evoke robust hippocampal activity during memory encoding in the MR-scanner. Corrected hit rates (item memory) increased from T1 to T2, irrespective of group (F(1,39) = 20.723, p < .001), but did not show a significant main effect of group or a group by time interaction (F(1,39) = 0.35, p = .559). Similarly, the proportion of free recall (F(1,39) = 16.96, p < .001) and correctly associated colors (F(1,39) = 28.62, p < .001) improved from T1 to T2, but did not show a significant main effect of group or
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a group by time interaction (free recall: F(1,39) = 0.08, p = .782; associative memory: F(1,39) = 2.59, p = .116). Overall, there was no evidence for a group difference in memory
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performance in the distracting environment of the MR-scanner.
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- Please insert Figure 1 around here.-
3.2 Results of functional imaging (word-color association task)
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Functional imaging data were assessed in order to examine whether AI therapy affects memory-related hippocampal and/or prefrontal activity during successful memory encoding.
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Analysis of functional MRI data revealed a significant cluster within the right hippocampus, associated to the linear contrast testing for encoding success (x = 24, y = -30, z = -6; Z =
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3.57, pSVC = .027; Figure 2, A). A cluster within the left hippocampus did not survive small volume correction (SVC; x = -22, y = -22, z = -12; Z = 2.74, pSVC = .249). A cluster within the
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right hippocampus showed lower BOLD responses for participants after AI therapy relative to controls (trend-level significance; x = 26, y = -16, z = -12; Z = 3.14, pSVC = .097; Figure 2, B).
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A cluster within the prefrontal cortex covering the ACC (x = 16, y = 30, z = 32; Z = 3.87, pSVC
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= .012) and the DLPFC (x = 14, y = 28, z = 32; Z = 3.77, pSVC = .019), showed higher BOLDresponses for encoding success in participants after AI-therapy relative to controls (Figure 2, C). No other brain regions showed significant main effects or interactions surviving a threshold of p < .05, corrected for the whole brain or the reduced search volumes. In addition, testing for pairwise difference between the levels of encoding success also did not identify significant voxels. In sum, present data provide only weak evidence for decreased memory-related hippocampal activity after AI therapy. In contrast, AI therapy significantly enhanced memoryrelated prefrontal activity in the ACC and the DLPFC.
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- Please insert Figure 2 around here.-
4. Discussion
cr
E2 depletion specifically decreased hippocampus-dependent recollection in the two verbal memory paradigms, i.e. the verbal source-memory task and the German equivalent of the
us
Rey auditory verbal learning test. Performance in the visual memory task showed a similar pattern, but group differences reached only trend-level statistical significance. This is, to our
an
knowledge, the first evidence that E2 depletion in postmenopausal women specifically impairs hippocampus-dependent memory and modulates the memory-related BOLD effect.
M
With respect to neural correlates, activity in the right hippocampus during successful encoding showed a statistical trend to decrease as a consequence of E2 depletion. The right
ed
ACC and DLPFC showed the opposite pattern of activity, i.e. an increase during successful episodic encoding with lower E2 levels.
pt
The specificity of the subtle impairment of recollection-based recognition memory is
Both
Ac ce
corroborated by the consistency of the finding across the two employed recognition tasks. paradigms
assess
recollection
and
familiarity
by
different
experimental
operationalizations and estimate their contributions to recognition by distinct procedures. According to a widely accepted model of recognition memory, recollection is the memory for an item together with associated contextual information (Yonelinas, 2002). Familiarity is considered to be a signal-detection process which does not lead to the retrieval of contextual details (Yonelinas, 2002). Rodent and human studies have shown that recollection is a hippocampus-dependent process, whereas familiarity is mediated by the surrounding cortices (Diana et al., 2007; Fortin et al., 2004). The verbal source memory task measured
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Estrogen synthesis inhibition and memory. Bayer et al.
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the contribution of recollection objectively, i.e. through assessing memory for list membership of each target. Previous studies employing this paradigm showed that recollection correlates positively with neuropsychological functions mediated by temporal but
ip t
not frontal regions (Prull et al., 2006). The visual memory task assessed the contribution of recollection through subjective meta-memory judgments, i.e. through assessing the
cr
confidence for each memory decision. Again, previous usage of this paradigm showed that hippocampal lesions cause impaired recollection while sparing familiarity (Aggleton et al.,
us
2005; Jäger et al., 2009; Vann et al., 2009). E2 depletion also affected delayed verbal memory in the VLMT. Although this task does not permit the estimation of process
an
parameters, it is of note that deficits in the delayed condition of VLMT are only shown by participants with temporal-lobe, but not extra-temporal lobe, epilepsy (Helmstaedter et al.,
M
2009). As particularly the delayed recall of words correlates with hippocampal volume (Golomb et al., 1994), the current result could be interpreted in terms of decreased
ed
hippocampal efficacy as a result of AI therapy. As opposed to this, a decline in prefrontal functions also results in delayed recall deficits, but affects initial learning to a similar degree
pt
(Alexander et al., 2003). As such, current data indicate a specific deficit in hippocampus-
Ac ce
dependent verbal memory after AI therapy. Only the word-color association task that was performed in the MR-scanner did not show an effect of E2 depletion on the behavioral level, which might be caused by reduced sensitivity in this highly unusual context. However, the fMRI data suggest a decrease in memory-related hippocampal activity (although only a statistical trend) and an increased activation within the ACC and the DLPFC after E2 depletion. These findings are in line with the negative effect of aromatase inhibition on spine synapse density and LTP (Vierk et al., 2012; Zhou et al., 2010). Moreover, they connect to the observation that systemic letrozole treatment specifically affects spine density in the hippocampus but not prefrontal areas.
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Estrogen synthesis inhibition and memory. Bayer et al.
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Current data suggest that successful encoding depends less on the hippocampus and more on prefrontal areas after inhibition of E2 synthesis. Consistent with this interpretation, compensatory activity in prefrontal areas is a common finding in research on cognitive
ip t
decline in aging and Alzheimer’s disease (Bäckman et al., 1999; Cabeza et al., 2002; Gould et al., 2006; Grady et al., 2002; Gutchess et al., 2005). Specifically, elderly subjects with
cr
intact memory performance show decreased activity in the medial temporal lobe, but enhanced prefrontal activity compared with young subjects (Gutchess et al., 2005).
us
Additionally, Gutchess and colleagues report that activity in the medial temporal lobe and prefrontal cortex was negatively correlated in the elderly subjects. More direct evidence has
an
been reported in rats, where optogenetic hippocampal inhibition was compensated by activity within the ACC (Goshen et al., 2011). The enhanced recruitment of the DLPFC in the
M
present study suggests that the participants of the AI group used organizational encoding strategies more intensely after AI therapy. Consistent with this interpretation, elderly subjects
ed
tend to use more semantic associations than young subjects during free recall, a potential behavioral compensatory mechanism for memory deficits (Golomb et al., 2008). It is thus
pt
conceivable, that enhanced activity in the ACC and DLPFC mirror compensatory
Ac ce
mechanisms in participants under E2 depletion. There are some limitations that should be addressed in future research. First of all, 21 AI participants, but only two controls, were receiving local radiotherapy of the breast during the study period. Although there is evidence that radiotherapy without chemotherapy impairs executive functions but not verbal memory (Jim et al., 2009; Phillips et al., 2012; Quesnel et al., 2009), we cannot rule out the possibility that radiotherapy influenced the present results. Similarly, we did not have individual information on disease stage. Cancer itself has been associated to decrements in executive functions (Ahles et al., 2007; Hedayati et al., 2011; Shilling et al., 2005) and impaired memory Wechsler logical memory test(Shilling et al.,
Page 19 of 40
Estrogen synthesis inhibition and memory. Bayer et al.
20/20
2005), a test that depends on prefrontal as well as hippocampal functioning (Helmstaedter et al., 2009; Strenziok et al., 2013; Vargha-Khadem et al., 1997). Again, we can not exclude the possibility that disease stage influenced present results. In addition, the baseline
ip t
differences between groups might have influenced the observed interactions. These differences are likely based on the different recruiting strategies. However, as it was the AI
cr
group that outperformed the controls in some of the neuropsychological tests and showed less trait anxiety, one would expect that the observed group differences, if at all, would more
us
likely mask than increase potential effects of aromatase inhibition. Moreover, these group differences would seem to oppose the interpretation that rather unspecific side effects of AI
an
therapy (e.g. fatigue, depressive symptoms and anxiety) might have caused the subtle memory impairment. Finally, although it is plausible that the increase in memory-related
M
BOLD response in the ACC constitutes a compensatory mechanism for decreased hippocampal efficacy, current data do not provide sufficient evidence to proof this
literature (Poldrack, 2010).
ed
hypothesis. Moreover, the concept of neural efficiency is not yet proven by the existing
pt
The current study was designed to translate the findings on E2 depletion by letrozole
Ac ce
treatment in ovariectomized rodents to humans, with a focus on hippocampus-dependent memory. We show that E2 depletion leads to subtle impairments in hippocampus-dependent memory within the verbal and visual domain. This finding corresponds well with results of previous studies, in which AI therapy prevented re-testing related performance gains (Collins et al., 2009; Hedayati et al., 2012). In sum, we interpret the current data as evidence for the dependency of hippocampus-dependent memory on central E2 synthesis. The preservation of overall memory performance (ie. corrected hit rate) is most likely a result of compensatory mechanisms, such as the enhanced recruitment of prefrontal areas.
Page 20 of 40
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us
cr
ip t
Estrogen synthesis inhibition and memory. Bayer et al.
an
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Table(s)
20
0
Treatment Letrozole daily (2.5 mg) Switch from Letrozole to Anastrozole Anastrozole (1 mg) Local radiotherapy Hormone Replacement Therapy Current Past Never Nulliparity Years of Education 9 Years 10 Years 13 Years
an
0 10 11 3
0
M
8 10 3
1 10 13 5
0.615
0.567 0.612
6 13 5
Ac ce p
te
d
Table 1
0 2
us
1 2 21
p 0.791 0.518 0.518 p
ip t
C group M SD 68.29 7.03 167.75 43.88 17.9 9.72 n
cr
Age Delay (in Days) Years since Menopause
AI group M SD 66.9 4.63 159.33 42.46 17.1 7.45 n
Page 30 of 40
21
menopausal symptoms (psyche)
Menopause Rating Scale (MRS)
Table 2
Gesellschaft für Neuropsyc hologie Fragebogen zur Erfassung Arbeitskreis erlebter Defizite der Aufmerksamkeit und Aufmerksamkeit (FEDA) Gedächtnis (2005)
Holzapfel, 1990
21
Potthoff, Heinemann, menopausal Schneider, Rosemeier, symptoms & Hauser, 2000 (somatic) menopausal symptoms (urogenital)
Aaronson et al., 1993
Fragebogen zur Erfassung alltäglicher Gedächtnisleistungen (FEAG)1
21
Spitzer, Kroenke, Williams, & Lowe, 2006 anxiety
Generalized Anxiety Disorder Sc ale (GAD) Quality of Life-C30: Global Health Sc ore (QoL)
experienced attention failures
experienced memory failures
global health score
depression
21
21
20
21
21
21
demands
Hautzinger & Bailer, 1993
21 21
Allgemeine Depressionsskala (ADS)
21
Fliege, 2005 tension joy
21
state anxiety
Perceived Stress Questionnaire (PSQ) worries
21
trait anxiety
Laux, Glanzmann, Schaffner, & Spielberger, 1981
State-Trait Anxiety Inventory: Trait (STAI)
n
T1
94.64
53.14
2.29
1.79
2.88
5.00
3.29
8.30
8.90
3.21
2.43
2.12
91.76
55.02
1.90
2.24
4.00a
5.16
2.57
9.82
7.14
8.76 15.00
7.43
31.07
M
d
1.31
4.17
9.74
3.19
4.07 3.75
2.96
15.34
10.28
SD
AI group
te
9.51
7.81
8.62 15.33
7.73
32.48
30.57
M
Ac ce p v ariable
source
task/measure
2.96
9.03
2.20
3.24 4.25
2.58
11.72
SD
24
24
24
24 24
24
23
23
n
8.39
9.92
2.68
2.51
2.49
1.23
24
24
86.38
59.29
2.29
1.46
4.42
5.13
3.33
11.36
8.42
9.13 13.88
8.46
34.98
36.96
M
T1
11.24
84.73
62.33
2.54
1.94
4.02
5.09
4.25
12.53
13.97
.079†
.014*
.044*
.664
.586
.264
.876
.369
.709
.055†
.177 .125
.123
.158
.038*, #
.627
.631
.310
.954
.006**
.387
.071†
.320
.022*
.150 .883
.114
.067†
time * group
ANOVA group p
ip t
.046*
.832
.050*
.172
.520
.819
.525
.708
.465
.083†
.479
.475
time
cr
13.23
2.45
1.58
2.50
1.27
3.97
7.69
2.62
9.33†
3.04
8.77
2.54 3.42
†
SD
10.63 13.38
9.23
38.22
M
T2
us 13.11
2.31
1.69
2.65
1.02
2.75
7.60
2.39
3.21 3.80
3.02
10.98
9.52
SD
C group
an 24
24
24
24
M
T2
Table(s)
Page 31 of 40
Table 3.
figural memory
verbal memory
numerical memory
visuo-spatial memory
verbal fluency
verbal intelligence executive functions
abstract intelligence
task/measure
10.200
delay 8.944
49.722
7.150
digit span backward
immediate
8.600
digit span forward
6.700
block span backward
23.429
semantic switch 6.952
22.905
semantic fluency
block span forward
23.286
lexical switch
17.333
word-color interference 23.571
1.857
attentional switch
lexical fluency
0.005
phasic alertness
total score
3.201
5.064
9.086
SD
M
AI group
T2
SD
4.582
3.406
9.310
1.872
1.273
1.218
1.181
3.995
6.379
5.605
7.339
5.780
1.652
0.012
10.389
9.353
49.947
7.350
8.150
7.000
7.900
23.095
23.905
24.238
23.667
18.316
1.619
0.003
6.079
3.724
6.892
2.159
1.531
1.298
1.997
4.381
4.867
5.253
5.961
9.787
1.322
0.010
T1
321.417
30.208
13.958
28.750
M
7.870
7.250
44.458
7.250
7.833
5.917
6.667
22.292
25.500
21.667
22.542
21.750
2.458
SD
C group M
T2 SD
21.958
2.833
0.004
4.310
3.710
11.244
2.111
1.579
1.349
1.167
2.726
6.692
7.800
7.223 6.347
6.760
13.010
2.353
0.010
8.609
8.652
b
47.375
6.500
7.625
6.167
7.167
22.625
24.375
4.600
3.459
10.672
1.818
2.081
1.551
1.606
4.302
4.726
ANOVA
.085
†
.804
.379
.377
.102
.317
.124
ip t
.379
.130
.571
.039*
cr .154
.474
.542
.901
.032† .171
.337
.638
.319
.672
.857
.206
us .175
.003**
.390
.264
.463
.094† .953
.640
.603
.413
.052† .194
.424
.773
time * group
.755
.028*
.428#
.131#
.075†,#
group p
.775
.511
.855
.660
.901
time
1.000
an
23.250
22.958
M
9.561
2.226
0.009
66.447 318.417 80.467
7.896
6.517
10.719
d
0.003
te
280.667 49.595 281.857 36.748
31.619
16.619
matrix reasoning
total score general processing speed
34.190
M
T1
Ac ce p
block design
v ariable
Table(s)
Page 32 of 40
Ac ce pt e
d
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an
us
cr
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Figure(s)
Figure 1. Performance in memory tasks. Pale purple/green bars represent performance at baseline (T 1), colorful purple/green bars represent performance at the post measurement (T 2). For interpretation of the references to color in this figure legend, the reader is referred to the web version of the article. Performance in the aromatase inhibitor group (AI group) is represented by purple color, performance in the control group (C group) is indexed by green color. A. Familiarity (left) and recollection (right) in the verbal source memory task. Familiarity showed a trend-level significant main effect of group, with higher values in the AI group compared with the C group. Recollection showed a significant group by time interaction (** = p < .01), with a trend-level significant decrease in recollection within the AI group and a significant increase in the C group. B. Familiarity (left) and recollection (right) in the visual memory task. AI therapy tended to have a positive effect on familiarity († = p < .1) while reducing practice effects in recollection. C. Memory for word-color associations and free recall in the word-color association task. Performance in this task was not significantly influenced by AI therapy. Error bars represent standard errors of the mean.
Page 33 of 40
ip t
Figure(s)
cr
Figure 2. For interpretation of the references to color in this figure legend, the reader is referred to the web version of the article. A. Statistical map of the linear contrast of encoding success. Encoding
us
success was associated to a significant cluster within the right hippocampus; a cluster within the left hippocampus did not survive small volume correction. B. Statistical map of the reversed time by group interaction for encoding success, i.e. AI group (T 1 > T2) x C group (T1 < T2). A cluster in the right
an
hippocampus showed a trend-level significant group by time interaction. C. Statistical map of the time by group interaction, i.e. AI group (T1 < T2) x C group (T1 > T2). A cluster in the prefrontal cortex, covering the right anterior cingulate and the right dorsolateral prefrontal cortex, showed a significant
Ac ce pt e
d
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group by time interaction. An uncorrected threshold of p < .005 was chosen for visualization purposes.
Page 34 of 40
Ac ce p
te
d
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cr
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Figure(s)
Page 35 of 40
Figure(s) 0.12
0.10
0.08
ip t
0.06
cr
0.04
us
0.02
0.55
Ac ce p
te
d
M
an
0.00
0.10
0.08
0.50
0.45
0.06
0.40 0.04
0.35 Page 36 of 40
0.00
0.00
*Conflict of Interest
Ac
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cr
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The authors declare no conflict of interest.
Page 37 of 40
*Contributors
Janine Bayer contributed to the conception and the design, conducted research, contributed in data analysis and interpretation and wrote the manuscript.
Gabriele Rune contributed to the conception and the design, participated in reviewing the
ip t
manuscript, approved the manuscript to be published. Heidrun Schultz contributed to data analysis, participated in reviewing the manuscript,
Michael J. Tobia contributed to data analysis, participated in reviewing the manuscript,
us
cr
approved the manuscript to be published.
approved the manuscript to be published.
Imke Mebes contributed to the acquisition of data, participated in reviewing the manuscript,
Olaf Katzler to the acquisition of data, participated in reviewing the manuscript, approved
ed
the manuscript to be published.
Tobias Sommer contributed to the conception and the design, contributed in data analysis
ce pt
and interpretation and wrote the manuscript.
Ac
M
approved the manuscript to be published.
an
Page 38 of 40
*Role of the Funding Source
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The study was funded by the German Research Foundation [DFG SO 952/2-1 and DFG SO 952/6-1].
Page 39 of 40
*Highlights (for review)
Estradiol depletion specifically impaired hippocampus-dependent memory.
Estradiol depletion tended to decrease memory-related hippocampal activity.
Estradiol depletion increased memory-related activity in prefrontal areas.
The increased prefrontal activity reflects most likely a compensatory mechanism.
Ac
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cr
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Page 40 of 40