ライフサイエンスコーパス: task performance

1 ger spatial segments, which are relevant for task performance.

2 concentration) was not clearly correlated to task performance.

3 re encoding task-relevant information during task performance.

4 his finding was not driven by differences in task performance.

5 ay reduce elements of interference affecting task performance.

6 ic tasks, but deactivated during nonsemantic task performance.

7 -level task performance and inferior complex-task performance.

8 alpha lateralization significantly affected task performance.

9 alpha-band networks, which in turn impaired task performance.

10 ropped markedly for subjects with the lowest task performance.

11 d flow PET scans acquired at rest and during task performance.

12 tive correlation between this activation and task performance.

13 t task-irrelevant information for successful task performance.

14 recording simultaneous single neurons during task performance.

15 by task difficulty, despite their successful task performance.

16 ween distributed neural circuits that enable task performance.

17 reflect a causal contribution of neurons to task performance.

18 s is suggested to be required for successful task performance.

19 , the subordinate RSNs were activated during task performance.

20 resting activity patterns are important for task performance.

21 measure participants' brain activity during task performance.

22 licit processes that simultaneously subserve task performance.

23 at was associated with lesser improvement in task performance.

24 broadband gamma frequency activity predicted task performance.

25 and did not differ from control subjects on task performance.

26 dual differences in factors such as baseline task performance.

27 a compensatory mechanism that helps maintain task performance.

28 ent effect of D1-like receptor activation on task performance.

29 and shell to evaluate neural activity during task performance.

30 ed with higher executive capacity and better task performance.

31 s to the transition of tone sequences during task performance.

32 as and left precuneus associated with better task performance.

33 but not variations in power predict correct task performance.

34 patients, using EEG during cognitive control task performance.

35 e inferior frontal sulcus at rest and during task performance.

36 eye, cognitive ability, and central driving task performance.

37 ere was an initial facilitation in criterion task performance.

38 s in dACC, measured with fMRI, and cognitive task performance.

39 uit additional neural resources that support task performance.

40 membered items in a display ("set size") and task performance.

41 evelopment, and was uniquely associated with task performance.

42 le property of the neural representation and task performance.

43 ns of the costs and benefits associated with task performance.

44 ptive effect of pain on his or her cognitive task performance.

45 lyses to localize the neuronal substrates of task performance.

46 rning, when the hippocampus is essential for task performance.

47 ere strongly correlated during both rest and task performance.

48 adigm designed to account for differences in task performance.

49 challenging to measure the quality of covert task performance.

50 fication accuracy to quantify the quality of task performance.

51 probe task and hippocampal activation during task performance.

52 h high resting activity that declines during task performance.

53 tivity patterns facilitates adaptive (novel) task performance.

54 ine signaling were differentially related to task performance.

55 omyography and footplate manometry monitored task performance.

56 lations (rnoise) in rhesus macaque A1 during task performance.

57 one (8 mg/day) modestly worsened psychomotor task performance.

58 nly response strength, not timing, predicted task performance.

59 l and right premotor areas without affecting task performance.

60 ng MD excitability was sufficient to enhance task performance.

61 ns and correlated them with bimanual tactile task performance.

62 nticipatory adjustments to facilitate future task performance.

63 of individual and age-related differences in task performance.

64 als of the task, and simultaneously impaired task performance.

65 he fingers, fPRL, and scotomas interacted in task performance.

66 0 reductions were not associated with poorer task performance.

67 (mMAP) performance was used as a measure of task performance.

68 both spontaneously and at precise moments of task performance.

69 functional recruitment of these areas during task performance.

70 ty correlated directly with bimanual tactile task performance.

71 compared with 3 homozygotes despite similar task performance.

72 imulation made animals more efficient during task performance.

73 even when that information is irrelevant for task performance.

74 reconfigurations are crucial for successful task performance.

75 ce specific brain regions and at least motor task performance.

76 gesting AM sensitive neurons' involvement in task performance.

77 with increased cerebellar activation during task performance.

78 n dentate nucleus activation recorded during task performance.

79 dissociated core and shell contributions to task performance.

80 both areas show similar tuning curves during task performance.

81 eal flexibility over timescales relevant for task performance.

82 parietal control area 7a during attentional task performance.

83 wn mistakes can serve as a signal to improve task performance.

84 of the primary task and compared with single-task performance.

85 incorrect decisions serves to improve future task performance.

86 task performance, it impaired force-tracking task performance.

87 e was positively correlated with cooperation task performance.

88 campal-prefrontal synchrony seen during dual-task performance.

89 terns of grey matter atrophy associated with task performance.

90 ttending to global landmarks did not benefit task performance.

91 and subjective effort induced by continuous task performance.

92 ed the pattern of cortical activation during task performance.

93 g on distraction probability, thereby aiding task performance.

94 coactivation during many different kinds of task performance.

95 ss the entire MD cortex is correlated during task performance.

96 efrontal cortex predicts working memory (WM) task performance.

97 y the level of influence of each node during task performance.

98 striatal adaptation was related to improved task performance.

99 n of the reward zone by deep cells predicted task performance.

100 m suppresses neurons that may interfere with task performance.

101 ntal effort and concomitant deterioration in task performance?

102 ensory comparison is no longer requested for task performance, a major proportion of directional corr

103 te ample data correlating such modulation to task performance, a mechanistic explanation remains elus

104 During task performance, a significant distraction (noise or si

105 suggested by the dramatic decline in ongoing-task performance after the event, with excellent perform

106 tch might explain age-related improvement in task performance and a developmentally normative decline

107 rs, acoustic detail had a stronger impact on task performance and alpha power modulation.

108 ctivity to the LPFC predicted working memory task performance and also correlated with LPFC BOLD acti

109 lly observed inverted-U relationship between task performance and arousal and that optimal detection

110 ional maturation were associated with poorer task performance and clinical measures of ASD and inatte

111 pendent effects in PFC were not explained by task performance and did not conform to established loca

112 icient semantic processing leading to better task performance and imply that GABAergic neurochemical

113 sorder (ASD) is marked by superior low-level task performance and inferior complex-task performance.

114 allowed us to assess in what way first-order task performance and metacognition are related to each o

115 ssion resulted in a marked reduction in both task performance and sensory processing on the following

116 roup, the ASD group had significantly poorer task performance and significantly lower activation in i

117 ired vigilance) and was predictive of memory task performance and symptom severity.

118 in OFC, and decoding accuracy is related to task performance and the occurrence of individual behavi

119 vation implicated in WM depends primarily on task performance and therefore stratified participants i

120 by Designer Drugs) selectively impaired MSO task performance and this was reversed by ABT-418.

121 ore, the degree of this disruption predicted task performance and transiently evoked symptoms charact

122 sounds, but only when the animals engaged in task performance and were attentive to the stimuli.

123 ongoing spontaneous activity are modified by task performance and whether/how these intrinsic pattern

124 ore (derived from questions about vision and task performance), and discomfort-related subscore (deri

125 ting to join a colony, circadian patterns of task performance, and age-related changes of task.

126 re any areas additionally activated for dual-task performance, and compared the neural activity and f

127 Electroencephalography was recorded during task performance, and event-related brain potentials wer

128 e genetic approaches suggest heritability of task performance, and population genetic studies indicat

129 ttles into a more confined state space under task performance, and proximity to the targeted trajecto

130 that neural sensitivity was improved during task performance, and this improvement was closely assoc

131 Behavioral impulsivity, IQ, MID task performance, and VS BOLD were regressed against psy

132 lt-mode network (DMN)] fMRI responses during task performance are dynamically responsive to increasin

133 t that incentives associated with successful task performance are initially encoded as a potential ga

134 lates of optimal states for signal detection task performance are largely unknown.

135 a new derived quantity that illustrates how task performance arises from the interaction of active e

136 WM) yielded inconsistent results, suggesting task performance as a moderating variable of prefrontal

137 ral positive effect of neural variability on task performance as assessed by accuracy measures.

138 nly RLPFC stimulation increasingly disrupted task performance as each sequence progressed.

139 essing and striatal regions activated during task performance as well as the relationship of these re

140 g memory (WM) tasks is counter-productive to task performance, as this task requires the continual up

141 been linked directly to successful cognitive task performance, as we also show here.

142 dTMS delivered over the rOFA impaired task performance at 60-100 ms only.

143 nts and their unaffected relatives preserves task performance at low task loads but is insufficient t

144 These effects were not due to differences in task performance, because accuracy was matched across th

145 Nicotine enhanced attentional task performance behaviorally and increased efficiency,

146 behavior or brain response, or for cognitive task performance beyond those specifically trained.

147 ape of brain reconfigurations that accompany task performance both within and between four cognitive

148 imposes a negative impact on attention-based task performance, but also has been associated with enha

149 f transcranial magnetic stimulation (TMS) on task performance, but it is unclear whether these effect

150 Amphetamine sped task performance, but its psychomotor effects were not s

151 wn to optimize these templates for efficient task performance, but the neural mechanisms underlying t

152 oups did not differ in online working memory task performance, but the transcranial direct current st

153 at a dose selected for each animal to reduce task performance by about 50%.

154 en metacognitive performance and first-order task performance by recording EEG signals while particip

155 ary activation is coupled with reductions in task performance by workers and colony-wide rates of for

156 We conclude that stop-signal reaction time task performance can be successfully modeled in mice and

157 or capacity of the brain networks underlying task performance can change with aging.

158 Here we test whether visual learning/task performance can induce a change in the patterns of

159 Learning and/or task performance can induce modulation of the resting sy

160 emory task, while taking variations in basic task performance capacity into account.

161 or demographic, psychological, clinical, and task performance characteristics were studied.

162 hed for sociodemographic, psychological, and task performance characteristics.

163 Regardless of age and task performance, children with epilepsy showed reduced

164 G) changes in absence seizures with impaired task performance compared with seizures in which perform

165 Finally, analysis of across-task performance confirmed the hypothesis that benefit i

166 nd physiological stress predicted individual task performance, consistent with an adaptive role for s

167 During task performance, cortical improvements were large and p

168 in breathing pattern that are time locked to task performance could also lead to confounding effects

169 agnetic resonance (fMRI) imaging during RiSE task performance could help to specify dysfunctional neu

170 ta set with structural imaging and cognitive task performance data.

171 SIGNIFICANCE STATEMENT: Perceptual task performance declines over time (the so-called vigil

172 Perceptual task performance declines over time (the so-called vigil

173 Task performance decreased as patient load increased.

174 or to multiple cortical areas just prior to task performance decreases variability during task-relev

175 iations remain even after controlling for Go task performance, demonstrating specificity to the Stop

176 Task performance depends on several factors, including h

177 of the specific cognitive domains to coding task performance differed significantly.

178 ts is frequently ascribed to improvements in task performance due to division of labour amongst worke

179 ion of the default network can contribute to task performance during an externally directed executive

180 Particularly, task performance during attentional orienting was correl

181 Rats showed significant transfer, increasing task performance during cocaine-paired cues.

182 predicts neural changes in the human ATL and task performance during semantic processing.

183 Results showed that TMS disrupted task performance during two temporally distinct time per

184 e (i.e., "distractors"), frequently modulate task performance, even when consistently paired with a p

185 sic network configuration for domain-general task performance experience more efficient network updat

186 he early time period (at 40/50 ms) disrupted task performance for both preferred (faces at rOFA and b

187 later time period (at 100/110 ms) disrupted task performance for the preferred category only of each

188 ys that the brain differently contributes to task performance for younger and older adults.

189 activity when receiving negative feedback on task performance from a study investigator.

190 tightly coupled to both musical training and task performance, further supporting a role for cortical

191 For this impaired subgroup, task performance furthermore predicted remission on the

192 e patients with generally impaired cognitive task performance had poorer treatment outcomes.

193 he gamma band activity associated with motor task performance has its origins in the pallido-subthala

194 ystonias, endogenous dopamine release during task performance has not been previously investigated in

195 anxiety (ICC = 0.66) and threat-potentiated task performance (ICC = 0.58) showed clinically useful t

196 Although task performance improved over days, no significant diff

197 tributes to impaired attention and perturbed task performance in 2CKO mice.

198 ne COMT in relation to N-Back working memory task performance in a large population-based cohort of y

199 ABA levels have been related to variation in task performance in a number of regions.

200 ctional connectivity strength was related to task performance in ASD, whereas that between dorsolater

201 been linked directly to successful cognitive task performance in external-task-positive regions but n

202 Further, we compared task performance in females, using a hippocampus-depende

203 or lobe were additionally activated for dual-task performance in healthy controls and for motor task

204 e if the effect of bilateral STN DBS on dual-task performance in isolated patients with dystonia, who

205 ine receptor (nAChR) agonist, normalized MSO task performance in ketamine-treated rats and this effec

206 ) increased the task-based learning rate and task performance in some older adults to the level of yo

207 pocampal activity correlated positively with task performance in the control condition, whereas stria

208 In addition, task performance in the controls covaried with occipital

209 ascular risk factors, and neuropsychological task performance in the domains of learning and memory,

210 brain activity is reported to maintain motor task performance in the face of motor fatigue and cognit

211 between breastfeeding and specific cognitive task performance in the first 2 y of life, particularly

212 tex (Brodmann areas 9 and 40) was related to task performance in TYP.

213 Structure-function relations also predicted task performance, including accuracy and speed of respon

214 tional effects from 'early' to 'late' during task performance, including diminished right prefrontal

215 nce imaging abnormalities are evident during task performance, including impaired deactivation of the

216 PET scans before and after task performance indicated a sustained increase in AG in

217 were elevated in the NAc of 2CKO mice during task performance, indicating that 5-HT2C receptors impac

218 on model--is now regularly used to decompose task performance into underlying processes such as the q

219 ation are effectively the same: if objective task performance is above chance, there is likely consci

220 tal to semantic processing, it is unclear if task performance is correlated with differential recruit

221 tes that variability in brain signals during task performance is related to brain maturation in old a

222 ain's functional network architecture during task performance is shaped primarily by an intrinsic net

223 We find that task performance is well predicted by a rapid increase i

224 ile punishment improved serial reaction time task performance, it impaired force-tracking task perfor

225 ength, cardiorespiratory fitness, functional task performance, lean body mass, and fatigue, with inco

226 Specifically, task performance led to increased connectivity (compared

227 ased dopaminergic function during unaffected task performance may be explained by a compensatory adap

228 Threat-potentiated task performance may therefore hold promise as a non-sub

229 PN) predicted interindividual differences in task performance more accurately than other fMRI and PET

230 onstrated slower walking speeds, slower near task performance, more frequent driving cessation, and l

231 kingly similar to the impairments in complex task performance observed in patients with diabetes, whi

232 While conditioned task performance of a marmoset can compare unfavorably w

233 fects of such housing on the development and task performance of experimental animals remains unclear

234 current experiments, we recorded the flanker task performance of individuals with high and low WMC du

235 Task performance often improves when tasks can be prepar

236 In all conditions, children's dual-task performance on the visual monitoring task was stron

237 erhaps in part because of sex differences in task performance or because of strain differences in the

238 f in freewill is endorsed, is independent of task performance or motivation, and is reversed when fre

239 ena in which one sensory modality influences task performance or perception in another sensory modali

240 rbations had no impact on reward preference, task performance, or improvement of performance during t

241 e deliberate, generated because they improve task performance over a random guessing strategy.

242 even transiently during the delay, impaired task performance, primarily by increasing inappropriate

243 network (P = 0.08) associated with improved task performance (r = 0.62, P = 0.008).

244 ion in brain regions involved in the initial task performance reemerges during postlearning rest, sug

245 Successful coding task performance relies predominantly on executive funct

246 n brain generates metacognitive awareness of task performance remains unclear.

247 lifies the decrement in cognitive-motor dual-task performance seen when moving from a single-task to

248 Dual-task performance significantly correlated with fractiona

249 local field potentials were recorded during task performance simultaneously from VTA and mPFC, two r

250 es in modularity were correlated with memory task performance, such that lower modularity levels were

251 at rest and reduced neural activation during task performance suggests enhanced neural efficiency in

252 ral motor cortical activity during unimanual task performance than young adults.

253 s a new, objective metric for characterizing task performance that is more effective than the stop-si

254 Behavioral task performance that requires processing fine-detail in

255 he monkeys showed behavioral improvements in task performance that were accompanied by rapid and long

256 During task performance, the activity of individual neurons was

257 been linked to spatial memory, attention and task performance, the cellular and network origin of the

258 During task performance, the impact of anxiety was subtle, but,

259 l activation was differentially modulated by task performance: there was a significant task by group

260 f the neural response becomes smaller during task performance, thereby improving neural detection thr

261 osed by response variability diminish during task performance, thereby improving the sensitivity of n

262 rge rate can be modulated transiently during task performance, thereby increasing the signal-to-noise

263 HC activation was correlated with task performance, thus likely contributing to the superi

264 ment and duration of attentionally demanding task performance (time-on-task), as experimental factors

265 low-gamma (~48 Hz) ranges selectively during task performance times when each frequency band was most

266 ined functional imaging data recorded during task performance to see how the opportunity to experienc

267 ween increased psychosis RPS and reduced MID task performance (uncorrected P = .03 for RPS model 4, 0

268 ontent predicts individual differences in WM task performance using a novel behavioral approach.

269 provide better population-level estimates of task performance variance.

270 Behavioral assessment showed that fine motor task performance was altered in children of ll mothers a

271 Pharmacological analysis confirmed that task performance was dopamine-dependent.

272 Correct task performance was followed by reward feedback that co

273 In contrast, no change in FAD task performance was found after virtual lesions to the

274 Task performance was impaired after THC administration,

275 Attention task performance was improved by transdermal nicotine re

276 Overt task performance was maintained across the lifespan and

277 Finally, the flicker effect on task performance was more strongly predicted by EEG flic

278 Crucially, the effect of 10 Hz flicker on task performance was predicted by the distance between 1

279 ation observed between the VR and real-world task performance was r > 0.96 (Study 2).

280 Subsequent task performance was related to functional connectivity

281 Task performance was selectively impaired when dTMS was

282 The effect of sensory flicker on task performance was stronger when selective attention d

283 f brain activity associated with stop-signal task performance was studied by using functional MRI, an

284 In the switch task, performance was mildly impaired, new firing maps w

285 By applying a computational model of task performance, we derived parameters reflective of th

286 By examining functional connectivity during task performance, we extend previous findings suggesting

287 eoff and landing angles are critical to this task performance, we hypothesized smaller target sizes w

288 -group differences in neural activity during task performance were assessed using a whole-brain, mixe

289 Learning and memory task performance were impaired in Arg-61 mice at both ol

290 Changes in task performance were included as regressors of interest

291 While Motifs occurring during cognitive task performance were more likely to have more matches i

292 Blood alcohol levels and task performance were similar across LR groups, but low-

293 s dedicated to monitoring behavior to adjust task performance when necessary.

294 ral" learning after stress appears to rescue task performance, whereas attempts to engage the "declar

295 ectivity, which was related to its effect on task performance, whereas this connection was enhanced b

296 riate patterns of brain activation predicted task performance with a high degree of accuracy, and als

297 's computational capability by comparing its task performance with a standard machine learning techni

298 MOD-treated patients who exhibited improved task performance with treatment also showed greater trea

299 urons can code sensory inputs and behavioral task performance within psychophysical limits.

300 ether the expression of a network underlying task performance would differ as a function of task dema