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241.
How do people use information from others to solve complex problems? Prior work has addressed this question by placing people in social learning situations where the problems they were asked to solve required varying degrees of exploration. This past work uncovered important interactions between groups' connectivity and the problem's complexity: the advantage of less connected networks over more connected networks increased as exploration was increasingly required for optimally solving the problem at hand. We propose the Social Interpolation Model (SIM), an agent-based model to explore the cognitive mechanisms that can underlie exploratory behavior in groups. Through results from simulation experiments, we conclude that “exploration” may not be a single cognitive property, but rather the emergent result of three distinct behavioral and cognitive mechanisms, namely, (a) breadth of generalization, (b) quality of prior expectation, and (c) relative valuation of self-obtained information. We formalize these mechanisms in the SIM, and explore their effects on group dynamics and success at solving different kinds of problems. Our main finding is that broad generalization and high quality of prior expectation facilitate successful search in environments where exploration is important, and hinder successful search in environments where exploitation alone is sufficient.  相似文献   
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Loneliness is common in dementia caregivers as cognitive impairment (CI) alters marital and social relationships. Unexplored is how an individual’s loneliness is affected at earlier, more ambiguous, periods of their spouse’s CI. Using the Health and Retirement Study, our study participants included 2,206 coupled individuals with normal cognitive function at the 2006/8 baseline. Loneliness outcomes at baseline, 4-year, and 8-year follow-up are assessed by the status of transition to cognitive impairment no dementia (TCIND) (2010/12 & 2014/16) using linear mixed models. Individual’s loneliness was stable when their spouse’s cognition remained normal, but increased with the spouse’s TCIND. The increase in loneliness did not vary by gender. Loneliness, a key risk factor for reduced life quality and increased depression, increases even at early stages of a partner’s CIND. This work suggests the potential impact of early intervention and social support for partners of individuals with CIND.  相似文献   
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This study evaluated relations among optimism, perceived stress management skills (PSMS),and positive mood in 46 men who had surgical treatment for localized prostate cancer. The authors found that optimism, PSMS, and positive mood scores were positively correlated. Positive mood was unrelated to demographic and disease-related control variables. In a hierarchical regression model controlling for PSMS, the relationship between optimism and positive mood became nonsignificant, whereas PSMS remained a correlate of positive mood. Results suggest that the relationship between optimism and positive mood may be mediated by belief in being able to use stress management techniques effectively.  相似文献   
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Abstract

Waveform data resulting from time-intensive longitudinal designs require careful treatment. In particular, the statistical properties of summary metrics in this area are crucial. We draw on event-related potential (ERP) studies, a field with a relatively long history of collecting and analyzing such data, to illustrate our points. In particular, three summary measures for a component in the average ERP waveform feature prominently in the literature: the maximum (or peak amplitude), the average (or mean amplitude) and a combination (or adaptive mean). We discuss the methodological divide associated with these summary measures. Through both analytic work and simulation study, we explore the properties (e.g., Type I and Type II errors) of these competing metrics for assessing the amplitude of an ERP component across experimental conditions. The theoretical and simulation-based arguments in this article illustrate how design (e.g., number of trials per condition) and analytic (e.g., window location) choices affect the behavior of these amplitude summary measures in statistical tests and highlight the need for transparency in reporting the analytic steps taken. There is an increased need for analytic tools for waveform data. As new analytic methods are developed to address these time-intensive longitudinal data, careful treatment of the statistical properties of summary metrics used for null hypothesis testing is crucial.  相似文献   
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Fear-motivated avoidance extinction memory is prone to hippocampal brain-derived neurotrophic factor (BDNF)-dependent reconsolidation upon recall. Here, we show that extinction memory recall activates mammalian target of rapamycin (mTOR) in dorsal CA1, and that post-recall inhibition of this kinase hinders avoidance extinction memory persistence and recovers the learned aversive response. Importantly, coadministration of recombinant BDNF impedes the behavioral effect of hippocampal mTOR inhibition. Our results demonstrate that mTOR signaling is necessary for fear-motivated avoidance extinction memory reconsolidation and suggests that BDNF acts downstream mTOR in a protein synthesis-independent manner to maintain the reactivated extinction memory trace.

Repeated or prolonged nonreinforced recall may induce extinction of consolidated memories, a form of learning involving the formation of a new association that inhibits the expression of the original one (Bouton 2004). On the contrary, brief re-exposure to retrieval cues may destabilize consolidated memories, which must then be reconsolidated to persist (Przybyslawski and Sara 1997; Nader et al. 2000). Psychotherapy based on extinction enhancement or reconsolidation disruption might reduce the intrusive recollection of aversive events and help in the treatment of post-traumatic stress disorder (PTSD), a prevalent mental health condition characterized by the persistent avoidance of places, people, and objects resembling traumatic experiences (Ressler et al. 2004; Schwabe et al. 2014; Dunbar and Taylor 2017; Bryant 2019). Therefore, considerable effort has been lately dedicated to analyze the properties and potential interactions of fear memory extinction and reconsolidation. In this regard, it has been reported that these processes are mutually exclusive (Merlo et al. 2014), and that extinction training during the reconsolidation time window enhances extinction learning and prevents the recovery of fear (Monfils et al. 2009). Moreover, we have previously shown that recall renders fear-motivated avoidance extinction memory susceptible to amnesia, indicating that this memory type is prone to reconsolidation when active and suggesting that targeting extinction memory reconsolidation can be a feasible treatment strategy for PTSD (Rossato et al. 2010; Rosas-Vidal et al. 2015). However, the neurochemical basis of extinction memory reconsolidation has seldom been analyzed.Mammalian target of rapamycin (mTOR) is a 289-kDa phospho-inositide 3-kinase (PI3K)-related serine-threonine protein kinase that functions as a key element of mTOR complex 1 (mTORC1) and mTOR complex 2 (mTORC2) signaling modules to regulate protein synthesis through the phosphorylation of eukaryotic initiation factor 4E (eIF4E)-binding protein 1 (4E-BP1) and p70 ribosomal S6 kinase (p70S6K) (Hay and Sonenberg 2004). A well-known mediator of cell growth and proliferation (Hall 2008; Ryskalin et al. 2017), mTOR involvement in synaptic plasticity was first suggested by studies showing that rapamycin (RAPA), a macrolide that selectively inhibits mTORC1 signaling by interacting with the chaperone FKBP12 and binding to mTOR FKBP12–RAPA-binding domain, impairs long-term facilitation in Aplysia as well as long-term potentiation (LTP) in the rat hippocampus (Casadio et al. 1999; Tang et al. 2002). Interestingly, avoidance memory consolidation and recall need mTOR signaling in the dorsal hippocampus (Bekinschtein et al. 2007; Pereyra et al. 2018), as it also happens with the reconsolidation and extinction of several other memory types (Myskiw et al. 2008; Gafford et al. 2011; Zubedat and Akirav 2017; Jarome et al. 2018; Lee et al. 2018; Yang et al. 2019). Here, we examined whether reconsolidation of fear-motivated avoidance extinction memory requires mTOR activity in the CA1 region of the dorsal hippocampus. To do that, we used 3-mo-old, 300- to 350-g, male Wistar rats (n = 320), housed in groups of five with free access to water and food in a holding room at 22°C–23°C on a normal light cycle (12 h light:12 h dark; lights on at 6.00 a.m.). Animals were implanted with 22-gauge guides aimed at the CA1 region of the dorsal hippocampus (Supplemental Fig. S1, stereotaxic coordinates in millimeters: anteroposterior, −4.2; laterolateral, ±3.0; dorsoventral, −3.0), as previously described (Radiske et al. 2015), and allowed to recover from surgery for 10 d before being handled by the experimenter once per day for 2 d. One day later, the animals were trained in a one-trial step-down inhibitory avoidance (SDIA) task, an aversive learning paradigm in which stepping down from a platform is paired with a mild footshock. Briefly, the SDIA training box (50 × 25 × 25 cm) was made of Plexiglas and fitted with a grid floor through which scrambled electric shocks could be delivered to the rat''s feet. Over the left end of the grid floor there was a 5-cm-high, 8-cm-wide, 25-cm-long wooden platform. For training, the animals were individually placed on the platform facing the left rear corner of the training box and, when they stepped down and placed their four paws on the grid, received a 2-sec, 0.4-mA scrambled footshock, whereupon they were immediately withdrawn from the training box. This training protocol induces a long-lasting, hippocampus-dependent, fear-motivated avoidance memory expressed as an increase in step-down latency at test (Bernabeu et al. 1995; Paratcha et al. 2000; Katche et al. 2013). However, repeated testing in the absence of the footshock causes clear-cut extinction (Cammarota et al. 2005; Rossato et al. 2006; Bonini et al. 2011). Therefore, to extinguish the learned avoidance response, we submitted SDIA trained rats to one daily unreinforced test session for five consecutive days. To that end, we put the animals back on the training box platform until they stepped down to the grid. No footshock was given, and the animals were allowed to freely explore the training apparatus for 30 sec after stepping down. During this time, the animals stepped up onto the platform and down again several times. This procedure induces an SDIA extinction memory immune to spontaneous recovery, reinstatement and renewal that lasts for at least 14 d and requires NMDA receptor activation as well as protein synthesis and gene expression in dorsal CA1 to consolidate (Cammarota et al. 2003; Rossato et al. 2010; Radiske et al. 2015). One day after the last extinction session, extinction memory was reactivated by placing the animals on the training box platform until they stepped down from it. Five minutes or 6 h later, the animals received bilateral intradorsal CA1 infusions (1 µL/side) of vehicle (VEH; 5% DMSO in saline), RAPA (0.02 µg/side) or the selective ATP-competitive inhibitor of mTOR, TORIN2 (TORIN; 0.20 µg/side). RAPA and TORIN were dissolved in DMSO and diluted to working concentration in sterile saline (<5% DMSO). The doses used were determined based on pilot experiments and previous studies showing the behavioral and biochemical effects of each compound (Bekinschtein et al. 2007; Revest et al. 2014; Renard et al. 2016; Lee et al. 2018). Retention was evaluated at different times after extinction memory reactivation by placing the animals on the training box platform and measuring their latency to step down. Because of the 300-sec ceiling imposed on test latency, step-down data were expressed as median ± IQR and analyzed using the Kruskal–Wallis test followed by Dunn''s post hoc comparisons. We found that animals that received VEH recalled SDIA extinction memory normally regardless of the time elapsed between reactivation and test sessions. Conversely, RAPA and TORIN given 5 min, but not 6 h, after SDIA extinction memory reactivation impaired retention of extinction and induced reappearance of the SDIA response 1 d and 7 d later (Fig. 1A, 1 d after RA: H = 24.42, P < 0.001; P < 0.001 for VEH vs. RAPA, P < 0.001 for VEH vs. TORIN; 7 d after RA: H = 26.85, P < 0.001; P < 0.001 for VEH vs. RAPA, P < 0.001 for VEH vs. TORIN in Dunn''s multiple comparisons after Kruskal–Wallis test; Fig. 1B, 1 d after RA: H = 4.510, P = 0.1049; 7 d after RA: H = 4.606, P = 0.0999 in Kruskal–Wallis test). Neither RAPA nor TORIN affected SDIA extinction memory when administered 24 h after the last extinction session in the absence of extinction memory reactivation (Fig. 1C, 1 d after infusion: H = 2.141, P = 0.3428; 7 d after infusion: H = 4.086, P = 0.1296 in Kruskal–Wallis test) or when given 5 min post-reactivation but retention was evaluated 3 h thereafter (Fig. 1D, H = 1.654, P = 0.4375 in Kruskal–Wallis test). Moreover, RAPA and TORIN had no effect on extinction memory retention if injected in dorsal CA1 5 min after an extinction pseudoreactivation session carried out in an avoidance training box rendered nonaversive for SDIA-trained animals (Fig. 1E, After RA: H = 13.86, P = 0.001; P < 0.01 for VEH vs. RAPA, P < 0.01 for VEH vs. TORIN; After PseudoRA: H = 0.7503, P = 0.6872 in Dunn''s multiple comparisons after Kruskal–Wallis test; Supplemental Fig. S2). mTOR activity is regulated by phosphorylation at different sites (Watanabe et al. 2011). Phosphorylation at Ser2448 is mediated by p70S6K, occurs mainly to mTOR associated with mTORC1 (Chiang and Abraham 2005; Holz and Blenis 2005; Akcakanat et al. 2007), enables mTOR binding to regulatory-associated protein of mTOR (RAPTOR), and correlates with mTORC1 activation (Rosner et al. 2010). On the contrary, Ser2481 is an autophosphorylation site insensitive to acute rapamycin treatment that is phosphorylated only when mTOR makes part of mTORC2 complexes (Peterson et al. 2000; Copp et al. 2009). To analyze mTOR phosphorylation levels, we performed immunoblotting on total homogenates from the CA1 region of the dorsal hippocampus. Samples were not pooled. Equal amounts of proteins (15 µg) were fractionated by SDS-PAGE and transferred to PVDF membranes. Blots were blocked for 1 h, incubated overnight at 4°C with anti-pSer2448 mTOR (1:10,000; RRID:AB_330970), anti-pSer2481 mTOR (1:10,000; RRID:AB_2262884), or anti-mTOR (1:10,000; RRID:AB_330978), and then incubated for 2 h at room temperature with HRP-coupled anti-IgG secondary antibody. Immunoreactivity was detected using the Amersham ECL Prime Western Blotting Detection Reagent and the Amersham Imager 600 system. Densitometric analyses were performed using the ImageQuant TL 8.1 analysis software (GE Healthcare). We found that pSer2448 mTOR levels peaked 5 min after SDIA extinction memory reactivation and returned to control values within 30 min (Fig. 2, F(5,20) = 2.805, P = 0.0446; P < 0.05 for 5 min vs. No RA in Dunnett''s multiple comparison test after repeated measures ANOVA). No changes in pSer2481 mTOR or total mTOR levels were found up to 6 h post-reactivation (Fig. 2, pSer2481 mTOR: F(5,20) = 1.241, P = 0.3274; mTOR: F(5,20) = 1.208, P = 0.3411 in repeated measures ANOVA; Supplemental Fig. S3). mTORC1 activation stimulates brain-derived neurotrophic factor (BDNF) production in hippocampal neurons (Jeon et al. 2015), which in turn may induce mTOR-dependent activation of dendritic mRNA translation (Takei et al. 2004). Previously, we reported that hippocampal BDNF maintains fear-motivated avoidance extinction memory after recall (Radiske et al. 2015). In agreement with this finding, coinfusion of recombinant BDNF (0.25 µg/side) after SDIA extinction memory reactivation impeded the recovery of the avoidance response provoked by RAPA (Fig. 3, 1 d after RA: H = 27.52, P < 0.001; P < 0.001 for VEH vs. RAPA, P < 0.001 for BDNF vs. RAPA, P < 0.05 for RAPA vs. RAPA + BDNF; 7 d after RA: H = 26.76, P < 0.001; P < 0.001 for VEH vs. RAPA, P < 0.001 for BDNF vs. RAPA, P < 0.01 for RAPA vs. RAPA + BDNF in Dunn''s multiple comparisons after Kruskal–Wallis test).Open in a separate windowFigure 1.mTOR is required for fear-motivated avoidance extinction memory reconsolidation. (A) Animals were trained in SDIA (TR; 0.4 mA/2 sec) and beginning 24 h later submitted to one daily extinction session for five consecutive days (EXT). Twenty-four hours after the last session, extinction memory was reactivated (RA) and, 5 min thereafter, the animals received bilateral intradorsal CA1 infusions of vehicle (VEH; 5% DMSO in saline), rapamycin (RAPA; 0.02 µg/side) or TORIN (0.20 µg/side). Retention was assessed 1 and 7 d later (Test). (B) Animals were treated as in A except that they received intra-CA1 infusions of VEH, RAPA, or TORIN 6 h after RA. (C) Animals were treated as in A, except that they received VEH, RAPA, or TORIN in dorsal CA1 24 h after the last extinction session in the absence of RA (No RA). (D) Animals were treated as described in A, except that VEH, RAPA, or TORIN were given 5 min after RA and retention was assessed 3 h later. (E) Animals were treated as in A, except that a subgroup of animals received VEH, RAPA, or TORIN 5 min after an extinction pseudoreactivation session in an avoidance training box rendered nonaversive for SDIA-trained animals. The nonaversive box was similar in dimensions to the SDIA training box, but it was made of dark gray wood and had a Plexiglas platform. (PRA) Pseudoreactivation session. Data are expressed as median ± IQR. (**) P < 0.01, (***) P < 0.001 versus VEH in Dunn''s multiple comparisons after Kruskal–Wallis test.Open in a separate windowFigure 2.Reactivation of fear-motivated avoidance extinction memory increases mTOR phosphorylation at Ser2448, but not at Ser2481, in the CA1 region of the dorsal hippocampus. Animals were trained in SDIA (0.4 mA/2 s) and beginning 24 h later submitted to one daily extinction session for 5 consecutive days. Twenty-four hours after the last session, extinction memory was reactivated (RA) and the animals killed by decapitation at different post-reactivation times (5–360 min). The CA1 region of the dorsal hippocampus was dissected out, homogenized, and used to determine of pS2448 mTOR, pS2481 mTOR, or mTOR levels by immunoblotting. (N) Naïve animals, (No RA) animals trained in SDIA that were submitted to five daily extinction sessions and killed 24 h after the last extinction session. Data are expressed as mean ± SEM. (*) P < 0.05 versus No RA in Dunnett''s multiple comparison test after repeated measures ANOVA.Open in a separate windowFigure 3.Coinfusion of recombinant BDNF reverses the effect of RAPA on fear-motivated avoidance extinction memory reconsolidation. Animals were trained in SDIA (TR; 0.4 mA/2 sec) and beginning 24 h later were submitted to one daily extinction session for five consecutive days (EXT). Twenty-four hours after the last session, extinction memory was reactivated (RA) and 5 min later the animals received bilateral intradorsal CA1 infusions of vehicle (VEH; 5% DMSO in saline), rapamycin (RAPA; 0.02 µg/side), BDNF (0.25 µg/µL), or RAPA plus BDNF (RAPA + BDNF). Retention was assessed 1 and 7 d later (Test). Data expressed as median ± IQR. (***) P < 0.001 versus VEH in Dunn''s multiple comparisons after Kruskal–Wallis test.Our results show that dorsal CA1 mTOR inhibition during a short post-recall time window persistently impairs retention of SDIA extinction memory and causes avoidance reappearance. This effect took time to develop, was time-dependent, concomitant with SDIA extinction memory reactivation, and occurred after the administration of mTOR inhibitors with different mechanisms of action, suggesting that it was not spontaneous or caused by nonspecific pharmacological interactions but due to bona fide impairment of an active mTOR-dependent reconsolidation process. This conclusion is further supported by findings showing that SDIA extinction memory reactivation rapidly and transiently increased mTOR phosphorylation at Ser2448, a post-translational modification customarily used as a proxy for mTOR activation (Reynolds et al. 2002; Guertin and Sabatini 2007; Rivas et al. 2009; Guo et al. 2017; Dong et al. 2018; Rosa et al. 2019). Most findings indicate that BDNF modulates protein synthesis through mTOR (Takei et al. 2001, 2004). In fact, BDNF controls hippocampal synaptic mRNA translation by regulating mTORC activation state (Briz et al. 2013; Leal et al. 2014), which seems to be necessary for SDIA memory consolidation (Slipczuk et al. 2009). However, in agreement with previous findings that BDNF is sufficient to restabilize a reactivated extinction memory trace, even when hippocampal protein synthesis and gene expression are inhibited (Radiske et al. 2015), our results show that mTOR acts upstream BDNF during the reconsolidation of extinction, and suggest not only that BDNF is a key protein synthesis product for this process but also that its actions are not mediated by mTOR-dependent mRNA translation. Indeed, mTOR signaling controls BDNF activity-dependent dendritic translation (Baj et al. 2016), and several protein synthesis-dependent plastic mechanisms, including late-LTP and memory consolidation, are rescued by BDNF when protein synthesis is impaired (Pang and Lu 2004; Moguel-González et al. 2008; Martínez-Moreno et al. 2011; Ozawa et al. 2014). Exogenous BDNF becomes quickly available for activity-dependent secretion, rapidly replacing the endogenous biosynthetic pathway after its administration (Santi et al. 2006). Thus, the rapid modulation of hippocampal high-frequency transmission produced by this neurotrophin is unaffected by protein synthesis inhibitors (Gottschalk et al. 1999; Tartaglia et al. 2001) and BDNF administration may induce the lasting structural reorganization and potentiation of hippocampal synapses in an mRNA synthesis and protein translation-independent manner (Martínez-Moreno et al. 2020), perhaps through a mechanism involving PKMζ activity regulation (Mei et al. 2011). In fact, hippocampal PKMζ acts downstream BDNF to control AMPAR synaptic insertion through a protein synthesis-independent mechanism during declarative memory reconsolidation (Rossato et al. 2019).In conclusion, our results confirm that extinction does not erase the SDIA response but generates an inhibitory memory that coexists with it and controls its expression. The data also corroborate that avoidance extinction memory enters a labile state when reactivated by recall and needs to be reconsolidated through a mechanism involving hippocampal mTOR/BDNF signaling activation to maintain its dominance over the aversive trace. Finally, though not less important, our findings emphasize the necessity of understanding the dynamics of memory competition in order to develop better therapeutic strategies for PTSD treatment.  相似文献   
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Burgeoning evidence suggests that when children observe data, they use knowledge of the demonstrator's intent to augment learning. We propose that the effects of social learning may go beyond cases where children observe data, to cases where they receive no new information at all. We present a model of how simply asking a question a second time may lead to belief revision, when the questioner is expected to know the correct answer. We provide an analysis of the CHILDES corpus to show that these neutral follow-up questions are used in parent–child conversations. We then present three experiments investigating 4- and 5-year-old children's reactions to neutral follow-up questions posed by ignorant or knowledgeable questioners. Children were more likely to change their answers in response to a neutral follow-up question from a knowledgeable questioner than an ignorant one. We discuss the implications of these results in the context of common practices in legal, educational, and experimental psychological settings.  相似文献   
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