ライフサイエンスコーパス: individual difference

1 and volume changes were wide, showing large individual differences.

2 nd misinterpretations of genetic research on individual differences.

3 hat mediate behavior and contributing to our individual differences.

4 le showing high stability and sensitivity to individual differences.

5 e proposal and hint at extensions addressing individual differences.

6 ative payment model vs 59.9 for reporting as individual; difference, 19.7 [95% CI, 18.9 to 20.4]; P <

7 ive a psychological ontology from a study of individual differences across a broad range of behaviora

8 Individual differences also performed well (21% and 12%,

9 Here, we investigate individual differences among DNN instances that arise fr

10 Individual difference analyses further show that partici

11 Individual difference analyses suggested that the impact

12 To improve our understanding of individual differences and dynamics of learning across t

13 ry with affective valence, take into account individual differences and historicity, and apply the mo

14 xperiences, and effects due to moderation by individual differences and moderation by partner-reports

15 These findings imply that the sum of all individual differences and partner experiences exert the

16 Importantly, individual differences and partner reports had no predic

17 ionuclides harbour variable (increased inter-individual differences) and temporally dynamic gut micro

18 tant roles played by stress, social support, individual differences, and broader socioeconomic factor

19 xt at the level of intra-cultural variation, individual differences, and the transition to digital ni

20 This experiment employed an individual differences approach to test the hypothesis t

21 Finally, we address how taking an individual-differences approach in developmental neuroim

22 ly stereotyped, upon closer inspection, many individual differences are apparent across antennal lobe

23 We show that these individual differences are correlated both with lower le

24 Via a twin study, we show that these individual differences are largely shaped by variation i

25 gulation is generally viewed as a trait, and individual differences are quantified using a diverse se

26 drug and non-drug rewards, and assessment of individual differences based on criteria in the fourth e

27 itional selection utilizes variation between individuals, differences between gametes within individu

28 a means by which the importance of modelling individual differences can be brought from theory to con

29 Our work shows how individual differences can lead to universal patterns of

30 hat is characterised by an increase in inter-individual differences compared with microbiomes of heal

31 Whether these individual differences concur with idiosyncratic face-se

32 vulnerability to sleep loss, and these inter-individual differences constitute a pronounced human phe

33 Patterns of individual differences (correlations between thresholds

34 scales during text reading, and significant individual differences due to the interaction between te

35 raw response times) in their suitability as individual difference DVs, finding that certain model pa

36 ne similar to their ex-partner (although the individual difference effects were not mirrored in an al

37 Tremendous individual differences exist in stress responsivity and

38 dividuals with psychopathology suggests that individual difference findings related to DA and reward

39 een difficult, both due to significant inter-individual differences for individuals of similar age an

40 Individual differences impacted the amount of neural res

41 cal decision-making is not just regulated by individual differences in 'pro-social' versus 'pro-self'

42 Finally, qualitative individual differences in adaptation were explained by s

43 adaptation data, as well as into qualitative individual differences in adaptation.

44 (g) is thought to play an important role in individual differences in adaptive behavior, yet its cor

45 We characterized individual differences in addiction-like behaviors using

46 Using a rat model designed to identify individual differences in age-related memory impairments

47 igure-8 coils exist, many do not account for individual differences in anatomy or are not generalizab

48 Individual differences in anesthetic sensitivity and sto

49 We assessed how individual differences in anxiety-like (measured via the

50 t region (AC/C/G and CT/T/C) associated with individual differences in anxiety-like trait, gene expre

51 Individual differences in appetitive traits present in t

52 Individual differences in AQ scores were significantly c

53 This signal predicted individual differences in associated oculomotor switch c

54 udies characterizing the molecular bases for individual differences in AT in the dorsal amygdala, whi

55 distributed neural circuit that is linked to individual differences in AT, which includes the dorsal

56 potential explanation for this variability: individual differences in baseline activation of the reg

57 tiple independent studies demonstrating that individual differences in baseline brain modularity pred

58 Consistent individual differences in behavior [i.e., behavioral typ

59 nvironmental variation in the development of individual differences in behavior and health.

60 n gene regulatory network (GRN) activity and individual differences in behavior are poorly understood

61 In healthy populations, individual differences in behavior are reflected in vari

62 Individual differences in behavior are the raw material

63 ntral theories explaining the maintenance of individual differences in behavior build on the assumpti

64 ersonalities, as defined by repeatable among individual differences in behavior.

65 vel insights into the genetic basis of inter-individual differences in behavioral flexibility using t

66 Research focusing on among-individual differences in behaviour ('animal personality

67 Consistent individual differences in behaviour (i.e. personality) c

68 Our work demonstrates that individual differences in behaviour explain important di

69 ividual physiological variation may underlie individual differences in behaviour in response to stres

70 and intensively studied phenomenon, whether individual differences in behavioural loss aversion can

71 Future investigations could examine individual differences in body awareness as a mechanism

72 h, identification of genes influencing inter-individual differences in brain morphology may help eluc

73 f a complimentary approach for investigating individual differences in brain structure and function,

74 behavior, it is not currently understood how individual differences in brain structure and physiology

75 nd highlight the importance of investigating individual differences in brain-language relationships i

76 al insight into the mechanisms that underlie individual differences in childhood intelligence, partic

77 t-specific architectural profiles related to individual differences in childhood physical abuse burde

78 the model can explain and accurately predict individual differences in choice behaviour.

79 le underlying biological mechanism for inter-individual differences in chronotype, and support the ce

80 It is important to recognize individual differences in clinical phenotype, both for c

81 thophysiological mechanisms that cause these individual differences in clinical presentation remain l

82 * in the putamen is significantly related to individual differences in cognitive ability, such that g

83 latta, were linked to behavior and predicted individual differences in cognitive control ability.

84 network interconnections as a major locus of individual differences in cognitive functioning in early

85 se opportunities rely on characterization of individual differences in cognitive strategies; an endea

86 Pronounced individual differences in color effects were related to

87 on, here we utilized two approaches based on individual differences in color naming and variation of

88 perceptual inference could reveal meaningful individual differences in complex high-level behaviors.

89 thy population sample, in early development, individual differences in compulsivity are linked to the

90 work to future research to better understand individual differences in concussion recovery.

91 We require metrics to assess stable individual differences in connectivity in the developing

92 C), and intraparietal sulcus (IPS) predicted individual differences in context effects on probability

93 These results suggest that individual differences in CT are partly influenced by ge

94 s thus technically adaptable to screening of individual differences in CYP enzyme function from biops

95 do not appear to be strongly associated with individual differences in D2-like receptors.

96 Here, we examined whether individual differences in D2R availability were related

97 uals but suggested that associations between individual differences in DA and reward discounting depe

98 sought to characterize associations between individual differences in DA and time, probability, and

99 We show that individual differences in DA D2 receptor availability ar

100 Study 1 demonstrated that individual differences in DA D2-like receptors were not

101 tential sources of behavioral heterogeneity: individual differences in decision-making competence and

102 exposure and suggest that stress may reveal individual differences in decision-making tied to impuls

103 Inter-individual differences in defensive responding are widel

104 ociations between brain morphology and inter-individual differences in defensive responding but diffe

105 Such individual differences in degree of specialization can p

106 fficient and precise protocols for measuring individual differences in delay discounting.

107 These findings held adjusting for individual differences in depression/anxiety, PTSD, and

108 e opposite to the NVH and suggest that among individual differences in diet can be maintained via acc

109 Moreover, individual differences in distraction-related attenuatio

110 rtainty-guided information seeking relate to individual differences in dogmatism, a phenomenon linked

111 d monkeys have reported correlations between individual differences in dopamine D2-type receptor (D2R

112 Genetic factors explained the major part of individual differences in educational attainment (herita

113 d by co-twins have an important influence on individual differences in educational attainment.

114 Individual differences in emotional variability are thou

115 es to provide more detailed understanding of individual differences in endogenous opioid neurobiology

116 ent segmentation may be a broad indicator of individual differences in episodic memory ability.

117 While individual differences in ERN magnitude have been implic

118 resentation of association networks predicts individual differences in executive function.

119 We also review work defining individual differences in Fc glycosylation, regulation o

120 We found systematic individual differences in fixation frequencies along six

121 ique patterns of network-level topology, and individual differences in fluid intelligence.

122 potential mechanism by which widely reported individual differences in foraging specialization may em

123 ct stable, trait-like, functionally relevant individual differences in functional brain organization.

124 structural features in any analysis of inter-individual differences in functional connectivity and do

125 whether there is a partial genetic basis for individual differences in g using data from seven differ

126 enge, and to minimize confounding effects of individual differences in gene expression profiles, we p

127 k instructions and semantic information, and individual differences in genetics, cognitive function a

128 nalysis, we delineated relationships between individual differences in global signal topography and a

129 s genetics as the dominant force influencing individual differences in global surface area.

130 ), but the association was explained away by individual differences in health and life-style measures

131 ls were not influenced by cardiac phase, nor individual differences in heart rate variability.

132 Additionally, individual differences in high-order cognitive abilities

133 ieu of these effects and investigate whether individual differences in hippocampal structure and func

134 l, and there was no evidence to suggest that individual differences in hippocampal subregional volume

135 there is an increasing interest in studying individual differences in human brain development in ord

136 anxiety disorders, we know little about how individual differences in human dopamine neurochemistry

137 investigated whether individual differences in human dopamine receptors (D2R)

138 Individual differences in human perception of sweetness

139 the single-trial level, could better explain individual differences in impulse control.

140 e a role for common genetic contributions to individual differences in impulsivity.

141 n's disease, and their relationship to inter-individual differences in impulsivity.

142 t is influenced by goal-directed context and individual differences in impulsivity.

143 ring delay discounting that is influenced by individual differences in impulsivity.SIGNIFICANCE STATE

144 framework for characterizing and quantifying individual differences in information-seeking, which we

145 he neurodevelopmental pathways that underpin individual differences in intellect.

146 erature that he did not mention showing that individual differences in intelligence and cognitive ref

147 These data demonstrate that individual differences in large-scale neural networks co

148 ve magnetic resonance imaging, we found that individual differences in learning and memory were posit

149 Individual differences in learning can influence how ani

150 rgued that personalized instruction based on individual differences in learning styles or genetic pre

151 ould permit researchers to take into account individual differences in lifestyle, socioeconomic facto

152 tion of binding that explicitly controls for individual differences in ligand affinity for TDP-43 and

153 These findings suggest that individual differences in loneliness among older adults

154 Despite large individual differences in memory performance, people rem

155 Additionally, individual differences in midbrain D(3) receptor availab

156 Individual differences in model-free, but not model-base

157 l speech and examined their relationships to individual differences in mood, personality, and physica

158 nally, model-free moral learning varied with individual differences in moral judgment.

159 own about the neurochemical underpinnings of individual differences in motivation.

160 n PCC reactivity to smoking cues and whether individual differences in MT-mediated PCC changes predic

161 of activity across the brain that predicted individual differences in multiple concept knowledge tas

162 These individual differences in music reward sensitivity are d

163 However, it is unknown whether individual differences in music sensitivity might arise

164 ter encoding in a manner that predicts inter-individual differences in negative memory biases in huma

165 Importantly, individual differences in network topography are associa

166 Our findings indicate that individual differences in neural activity and behavior p

167 What individual differences in neural activity predict the fu

168 There are large individual differences in neurobiological outcomes follo

169 r analytical framework reconciles consistent individual differences in neuronal activation with macro

170 variables succeeds despite consistent inter-individual differences in neuronal activation.

171 ity of the NAc, raising the possibility that individual differences in NPY expression moderate the ri

172 Specifically, individual differences in opioid system function may und

173 models of developmental psychopathology and individual differences in outcome over time.

174 in pain.SIGNIFICANCE STATEMENT Individual-to-individual differences in pain are well documented, but

175 Individual-to-individual differences in pain are well documented, but

176 Individual differences in pain perception are of interes

177 nucleotide polymorphism, have been linked to individual differences in pain sensitivity, depressive s

178 the difference between those rates predicts individual differences in patience.

179 There are strong individual differences in performance during sleep depri

180 the machine learning results corresponded to individual differences in performance on standardized mo

181 We also revealed individual differences in personality change over time,

182 assess the magnitude of changes, and analyse individual differences in personality change.

183 teristics of the games themselves as well as individual differences in player style determining the f

184 tion-induced dependence and may be biased by individual differences in predispositional insula-based

185 uctions in collective blame and moderated by individual differences in preference for consistency.

186 nd defense, focusing on associations between individual differences in psychopathic personality trait

187 gray/white matter contrast (GWC) to age and individual differences in psychopathology and general co

188 ss-subject analyses, these effects explained individual differences in psychophysical evaluations and

189 ffects model controlling for sex and between-individual differences in pubertal stage showed a signif

190 ferent aspects of the pupil signal, with the individual differences in pupil response associated with

191 cial preference can account for the observed individual differences in reciprocity motives.

192 and subjacent white matter myelination, and individual differences in regional GWC are associated wi

193 Rats also show individual differences in response to tickling [7], and

194 These results support growing evidence that individual differences in responses to drug and nondrug

195 Mothers showed consistent individual differences in resting HRV across years.

196 ugh inherited factors are known to influence individual differences in risk for these disorders, it h

197 in baseline phasic dopamine signaling drive individual differences in risk preference.

198 Our findings show stable individual differences in salience along a set of fundam

199 erneuron-related transcripts and may capture individual differences in schizophrenia risk.

200 orbitofrontal and nucleus accumbens, predict individual differences in sensibility to music reward.

201 s in caring motivations and behavior reflect individual differences in sensitivity to cues that signa

202 The neural mechanisms underlying individual differences in social approach or avoidance t

203 he unique contribution of WM capacity to the individual differences in social-distancing compliance c

204 The results are robust to individual differences in socioeconomic background facto

205 substantially mitigated when we account for individual differences in socioeconomic status or intell

206 sical psychometric theory, mostly focused on individual differences in stable attributes, offers litt

207 posttranscriptional mechanisms contribute to individual differences in stress response and the resili

208 ept that is enabling the field to understand individual differences in stress responses, with the hop

209 tes how molecular dysfunctions contribute to individual differences in stress sensitivity.

210 euroinflammation colocalize in PSP, and that individual differences in subcortical tau pathology and

211 ticipants, and we were interested in whether individual differences in subjective estimates of uncert

212 It has been suggested that these individual differences in subjective valuation of delaye

213 and a potential hormone-dependent basis for individual differences in such plasticity among genetica

214 Theory suggests that such individual differences in susceptibility to environmenta

215 We then address the evolution of individual differences in susceptibility to the environm

216 rns of functional brain connectivity predict individual differences in sustained attention, whether t

217 unctional connectivity patterns that predict individual differences in sustained attention.

218 Inter-individual differences in T helper (Th) cell responses a

219 es in network topography are associated with individual differences in task-evoked activations, sugge

220 ndation of long-term well-being is rooted in individual differences in temperament observed in infanc

221 By measuring individual differences in temporal discounting and corre

222 We further demonstrate that individual differences in thalamic activity relate to re

223 Due to individual differences in the ability to control a certa

224 st function and found that it was related to individual differences in the additional time needed to

225 sing recognition of the value of considering individual differences in the behavior of wild animals t

226 time-variant 'connectome' is related to the individual differences in the behavioural and cognitive

227 Further, we find individual differences in the change of TIB devoted to s

228 ent saving to addiction(7-13), understanding individual differences in the choice process is importan

229 We document large individual differences in the color-material weight acro

230 ignaling pathway may account for some of the individual differences in the effects of lithium on cell

231 ifferences in pupil response associated with individual differences in the integration kernel, while

232 nd novel perspective on our understanding of individual differences in the interplay between pain and

233 Further, individual differences in the magnitude of change in fro

234 Individual differences in the modulatory strength of pri

235 tional processes and cognitive ability track individual differences in the refinement of borders betw

236 We tested the hypothesis that individual differences in the reliance of alcohol seekin

237 We identified individual differences in the reliance of well establish

238 pecific example of a gAP in humans linked to individual differences in the response to stress.

239 le, but at the same time there are important individual differences in the sensitivity to musical rew

240 pha6beta2 modulation of dopamine release and individual differences in the sensitivity to this outcom

241 In this study, we aim to investigate whether individual differences in the social learning and transm

242 ity with the cerebral cortex that related to individual differences in the stereotactic locations bot

243 Moreover, individual differences in the strength of hippocampal ac

244 experimental results only if it incorporates individual differences in the strength of the auditory-m

245 is important for musical pleasure, and that individual differences in the structure of the relevant

246 ses in neural taste processing contribute to individual differences in the susceptibility for overeat

247 Further, marked individual differences in the susceptibility of alcohol

248 Here we tested the hypothesis that individual differences in the susceptibility to aDLS dop

249 nmental factors have been shown to influence individual differences in the use of these substances.

250 iness among older adults are correlated with individual differences in the volumes of brain regions t

251 Eventually, the individual differences in these patient-specific epitope

252 in shaping religious belief, suggesting that individual differences in these processes may help expla

253 n and provide guidance for future studies of individual differences in this domain.

254 Using a risky foraging task, we investigated individual differences in this dynamic across 781 indivi

255 ntemporary psychological theory assumes that individual differences in thought patterns occur because

256 yroid parameters, inter-individual and intra-individual differences in thyroid parameters, age-relate

257 In Experiment 2, individual differences in touch perception were explored

258 's emotion regulation circuitry may underlie individual differences in trait anxiety using the common

259 We tested whether individual differences in trait anxiety would impact esc

260 Whether individual differences in treatment-related changes in P

261 n and use it to document substantial, stable individual differences in trustworthiness impressions.

262 Results highlight how individual differences in vocal proficiency between grea

263 understanding of the mechanisms underpinning individual differences in vulnerability and can facilita

264 c variation in opioid tone may contribute to individual differences in vulnerability and resilience f

265 There are large inter-individual differences in vulnerability to sleep loss, a

266 t cellular density in the NAcc is related to individual differences in waist circumference at baselin

267 at this initial stage could be predicted by individual differences in WM capacity, partly due to inc

268 ity, and the interactions between them, with individual differences in working memory capacity.

269 ns of behavior and brain function that track individual differences in working memory during human de

270 r, these results inform our understanding of individual differences in working memory in childhood an

271 imaging and personalized models can quantify individual-differences in imagined experiences.

272 unctional connectivity patterns that predict individual-differences in three domains of higher-order

273 Little is known about how individual differences influence these models relevant t

274 onary perspective for understanding how this individual difference may predispose to mental and physi

275 has examined how to overcome barriers and if individual differences mediate their causes and potentia

276 We consider ways individual differences might enter the framework and the

277 tial learning, and (3) provide evidence that individual differences modulate perceptual barrier effec

278 Thus, individual differences must be taken into account when a

279 Notably, patient-individual differences of numerical cell distribution we

280 nificantly correlated with some of the inter-individual differences on key behavioural responses asso

281 Moreover, there can be marked individual differences - precise judges will repeatedly

282 The top individual-difference predictors were life satisfaction,

283 es through a contemporary lens of consistent individual differences provides evidence for an integrat

284 including limited evidence for stability of individual differences, relatively low reliability of ta

285 Accurate characterization of individual differences requires measurement reliability,

286 Binge drinking unmasked individual differences, revealing latent traits in alcoh

287 ondrug rewards, thereby reflecting a broader individual difference risk factor.

288 factors and enhances our understating of how individual differences shape the stress response.

289 group biases to find significant and robust individual differences; some individuals consistently re

290 agreeableness and power was not moderated by individual differences, such as gender or ethnicity, or

291 dividuals, pointing to more pronounced inter-individual differences than previously reported.

292 rity and justice are often conceptualized as individual differences that are resistant to enduring ch

293 ts of reward processing, taking into account individual differences that could moderate this relation

294 n varies across individuals due to the large individual differences that manifest during perceptual b

295 However, similar to the case of individual differences, the density of color names along

296 riables (i.e., own relationship-specific and individual-difference variables) predicted two to four t

297 To examine these individual differences, we fit a computational model (th

298 An fMRI study revealed these individual differences were supported by color-dependent

299 Relative individual differences were up to -48% for ED(MC) and -4

300 the flow." Although such observations about individual differences within nonclinical populations ar