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1 ance to rare stimuli or for the detection of deviance.
2 s through critiques of the medicalization of deviance.
3 n the developmental trajectory of peer-group deviance.
4 rces of individual differences in peer-group deviance.
5 , 3.8821; P = .05) but not in men (change in deviance, 0.77215; P = .38).
6 ce, 4.6553; P = .03) and in women (change in deviance, 3.8821; P = .05) but not in men (change in dev
7 er time in the overall population (change in deviance, 4.6553; P = .03) and in women (change in devia
8 ch aimed at delineating the causes of sexual deviance and at measuring and improving the efficacy of
9 been associated with signaling of contextual deviance and disambiguation of similar items (i.e., patt
10  gained momentum in recent years, focuses on deviance and dissent as normal and healthy aspects of gr
11 e aim for a balanced and complete account of deviance and dissent, highlighting when such behaviors w
12 onal as well as the dysfunctional effects of deviance and dissent.
13  the motivations and conditions underpinning deviance and dissent.
14 ion, but it also signals novelty, contextual deviance, and action monitoring.
15 d tolerance of deviance, peer drug use, peer deviance, and exposure to violence on television.
16  underlying automatic processing of auditory deviance, as reflected by the duration + frequency doubl
17 nts a relatively dark picture of dissent and deviance: as reflections of a lack of group loyalty, as
18                     Self-reported peer-group deviance at ages 8 to 11, 12 to 14, 15 to 17, 18 to 21,
19                        In the standard fixed-deviance condition, schizophrenia patients showed defici
20 ted whether behavioral and cortical auditory deviance detection (the latter indexed by the mismatch n
21               The P3a response - a marker of deviance detection - to mistuned targets was also found
22 ole of frontal cortex and Hgamma activity in deviance detection and PE generation.
23 e that the memory traces underlying cortical deviance detection form a link between stimulus probabil
24                                     Auditory deviance detection has been associated with a human audi
25 volvement of the human auditory brainstem in deviance detection has not yet been demonstrated.
26        We conclude that neural mechanisms of deviance detection likely reside in cortical areas outsi
27  Thus, the memory traces underlying cortical deviance detection may provide a link between stimulus p
28 ect stimulus-specific adaptation rather than deviance detection per se.
29 nhibitory neurons and how it might relate to deviance detection remains elusive.
30 pitched tones are available to the automatic deviance detection system that underlies the generation
31 d that both behavioral and cortical auditory deviance detection uses transitional probabilities.
32 ared patterns of human Hgamma and LF-ERPs in deviance detection using electrocorticographic recording
33                                           If deviance detection was based on pattern probability, rev
34                                           If deviance detection was based on transitional probabiliti
35 ted to measure cortical responses related to deviance detection, and dynamic causal models quantified
36  excitatory neurons thus shares time course, deviance detection, and pharmacological features with th
37 N, as well as P3a, another index of auditory deviance detection, to duration changes is evident even
38 in particular, carries signatures of genuine deviance detection.
39 urons, this late component reflected genuine deviance detection.
40 iple anatomical and temporal scales of human deviance detection.
41 ed neural networks for active prediction and deviance detection.
42 ve confirmed early ( approximately 30-40 ms) deviance detection.
43 omically lower (i.e., thalamus and midbrain) deviance detection.
44 at the MMN is a correlate of true change or "deviance" detection.
45                                Assessment of deviance-detection thresholds showed that patients requi
46                                    Dominance deviance-deviation from additivity in the main or intera
47 dhood parental loss, low self-esteem, social deviance, education, recent trauma, past and present psy
48 engthened considerably with 14,585 SNPs, the deviance explained by heterozygosity increasing almost f
49                              The analysis of deviance for the APC regression models indicated that th
50 or height were used to estimate each child's deviance from average birth weight, birth length, weight
51 ene interactions has often been defined as a deviance from genetic additive effects, which is essenti
52                 Resistance (initial postfire deviance from prefire condition) and resilience (return
53 idual markers in this interval, and possible deviance from strict autosomal dominant inheritance, we
54 cenarios characterized by various degrees of deviance from the usual main-term logistic regression mo
55 potential elicited automatically by auditory deviance in CHR and early illness schizophrenia (ESZ) pa
56                                              Deviance in fetal growth at either distributional extrem
57           The authors calculated z scores of deviance in fetal growth from a reference curve using re
58 g aCFSs (explaining approximately 77% of the deviance in logistic regression models) and of aCFS brea
59         BRT models effectively predicted the deviance in neonicotinoid detection (62.4%) and concentr
60 ession analyses indicated that 4.5% to 9% of deviance in stroke mortality among BGs could be explaine
61 ty (non-Hispanic blacks) explains <2% of the deviance in stroke mortality among BGs.
62 nds itself to investigation of developmental deviance in the early onset of schizophrenia.
63 nd environmental contributions to peer-group deviance in twins from midchildhood through early adulth
64 ings have implications for studies examining deviances in impulse control by showing that the develop
65              Mean and variance of peer-group deviance increased substantially with age.
66 in favour of the causal model), and also for deviance information criteria (DIC) computed for a range
67                                              Deviance information criterion is applied to determine t
68 transmission rates are compared by using the deviance information criterion.
69 standardized, the heritability of peer-group deviance is approximately 30% at ages 8 to 11 years and
70     However, the authors show that dominance deviance is attenuated when it is observed at a proxy lo
71 wide association studies, so large dominance deviance is likely to be rare.
72                                   Peer-group deviance is strongly associated with externalizing behav
73 the correlation between childhood peer-group deviance levels and the subsequent slope of peer-group d
74 cific environmental influences on peer-group deviance levels were stable in the first 3 age periods a
75 ity norms in politics and religion, and this deviance may be essential to the academic mind and to ac
76 " (new vs neutral oddballs) from "contextual deviance" (neutral oddballs vs standard images) and "tar
77        This was confirmed for posterior mean deviances obtained for both models (11.5 natural log uni
78 re than the recommended dose was used (i.e., deviance of >2 sachets between available and expected st
79 mate relationship between the log-likelihood deviance of model fit and the match times to infection b
80 lysis of the statistical significance of the deviance of the averages for a number of global properti
81 ociation between item novelty and contextual deviance on the basis of decreases in either theta (4-8
82 f rules (institutions) that limit individual deviance organize cooperation in human societies, then i
83 evels and the subsequent slope of peer-group deviance over time resulting from genetic factors was po
84                                         Peer deviance (PD) strongly predicts externalizing psychopath
85 ors of less importance included tolerance of deviance, peer drug use, peer deviance, and exposure to
86 plex mechanism that is sensitive to auditory deviance per se.
87 sult from genetically mediated developmental deviance reflecting greater susceptibility to schizophre
88                              In concert with Deviance Regulation Theory, their framework offers a fou
89 ection, and dynamic causal models quantified deviance-related changes in effective connectivity.
90                                     We found deviance-related responses in both frequency bands over
91  administered the Bedford-Foulds Personality Deviance Scales.
92                     We hypothesize that this deviance-sensitive, internally synchronized network of n
93 where in the ascending auditory pathway true deviance sensitivity first emerges.
94                      If the IC exhibits true deviance sensitivity to intensity, IC neurons should sho
95                Genetic effects on peer-group deviance showed a strong and steady increase over time.
96 ition of the OCCR, as judged on the basis of deviance statistics, was bounded by nucleotides 3059-407
97 ome measures were self-reports of behavioral deviance, substance use, and personality, as well as DSM
98 0), and in an intron of TBCD) and rs8073471 (Deviance test P-value=2.77 x 10(-34)).
99 isplay a persistent, long-lasting pattern of deviance that was largely independent of their brain dis
100                    According to the positive deviance theory, the study of actual food expenditure by
101                                         Peer deviance was associated with future DA in the proband, w
102                                         Peer deviance was defined as the proportion of individuals bo
103 nderstanding the risk factors for peer-group deviance will help clarify the etiology of a range of ex
104 olating mutants with the greatest phenotypic deviance, with the hopes of discovering genes that are c

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