ライフサイエンスコーパス: verbal

1 RTLE 30 +/- 8) scores than healthy controls (verbal 58 +/- 8, visual 39 +/- 6; p < 0.001).

2 ), ataxia (6/9), dysarthria in probands with verbal ability (6/9), hypotonia (7/9), hypertonia (6/9),

3 programs (e.g., ranging from 0 to 66.7% for verbal abuse).

4 76 (16%) women across all countries reported verbal abuse, and 108 (3%) reported physical abuse.

5 res (flips/shrugs), and increasingly produce verbal acknowledgments of ignorance ("I don't know").

6 Verbal aggression which appears targeted, demeaning or h

7 sometimes called disruptive vocalisation, or verbal agitation.

8 rity can be derived and used to solve simple verbal analogies with human-level accuracy.

9 the prenatal or infantile period and severe verbal and ambulatory comorbidities.

10 l blood DHA during pregnancy were related to verbal and full scale intelligence quotient (IQ) scores

11 e children also showed relative strengths in verbal and language abilities, including a smaller discr

12 onent analyses, first separately for the non-verbal and language tests, then in a combined analysis i

13 ks: marked visuospatial deficits relative to verbal and non-verbal reasoning abilities and hypersocia

14 2 months, and found a predictive relation to verbal and nonverbal cognitive skills measured at 2, 3 a

15 nvestigating the cross-modal coordination of verbal and nonverbal communication in autism.

16 Although these difficulties affect both verbal and nonverbal communication, there are no quantit

17 In an observational study, all the verbal and nonverbal interactions of 6 different supervi

18 tive to quantitative analysis depends on the verbal and statistical expressions of a hypothesis being

19 e that failure to take the alignment between verbal and statistical expressions seriously lies at the

20 core of 7 executive function tests, auditory verbal and visual design learning tests, and reaction ti

21 relate hippocampal surface-shape patterns to verbal and visual learning.

22 visuo-spatial learning and an event-related verbal and visual memory functional MRI paradigm address

23 No overt impairment of verbal and visual memory was identified with neuropsycho

24 powerful short cognitive test that examines verbal and visual recall and is a valuable addition to t

25 Neuropsychological measures of verbal and visuo-spatial learning and an event-related v

26 For cognition, core verbal and visuo-spatial reasoning skills were intact, w

27 : the modality of communication (gestural or verbal) and the (arbitrariness of the) relationship betw

28 n = 241), we examined whether spatial (SWM), verbal, and mental rotation (RWM) working memory capacit

29 Full-scale, verbal, and performance intelligence quotient (FSIQ, VIQ

30 girls, 11 557 [24%] boys) reported physical, verbal, and relational (ie, traditional) bullying only,

31 ect data for presentation during ICU rounds, verbal appraisal of patient data was highly incomplete.

32 Much of this debate is based on verbal arguments, but a quantitative framework is needed

33 ithout the presence of symptoms that require verbal assessment, it was more accurate (sensitivity = 7

34 s against public figures, including the 2019 verbal attack against an anti-Brexit politician, and hyb

35 In conditions such as minimally-verbal autism, standard assessments of language comprehe

36 analyzed 2833 snakebite deaths from 611,483 verbal autopsies in the nationally representative Indian

37 region, and clinical syndromes from 243,000 verbal autopsies in the nationally representative Millio

38 use of biannual house-to-house censuses, and verbal autopsies were done between May 26, 2015, and May

39 Verbal autopsies were done to gain information about sur

40 Verbal autopsies were performed.

41 on country-level vital registration data and verbal autopsies.

42 Maternal death was ascertained via verbal autopsy and HIV status at delivery via annual HIV

43 Mortality was assessed by using verbal autopsy and public records.

44 ation-based assessments of stillbirths using verbal autopsy at the state level in India.

45 n modeling of vital registration and limited verbal autopsy data and generally only characterize the

46 Vital registration and verbal autopsy data are mainstays for the estimation of

47 ystematically derived vital registration and verbal autopsy data.

48 timates were based on vital registration and verbal autopsy data.

49 ta and modeling predicted causes of death in verbal autopsy data.

50 opathology, abstracted clinical records, and verbal autopsy findings for each case and, if applicable

51 for 2010-17 and causes of death from 211 166 verbal autopsy interviews in the Indian Million Death St

52 ren in the placebo group were ascertained by verbal autopsy interviews.

53 ion collaboration (WHO/MCEE) on the basis of verbal autopsy studies from India.

54 The model was based on verbal autopsy studies representing more than 100 000 ne

55 postmortem laboratory and pathology testing, verbal autopsy, and clinical and demographic data.

56 Cause-specific mortality, as assessed by verbal autopsy, was a prespecified secondary outcome.

57 cause models based on vital registration and verbal autopsy.

58 s of mortality among deceased children using verbal autopsy.

59 ion between gingival bleeding and reports of verbal bullying among adolescents.

60 val bleeding had an 80% higher prevalence of verbal bullying than their counterparts (PR 1.80; 95% CI

61 The prevalence of self-reported verbal bullying was 12.8%.

62 The occurrence of verbal bullying was verified through adolescents' self-r

63 ce of gingival bleeding on the occurrence of verbal bullying.

64 ife of adolescents, causing more episodes of verbal bullying.

65 a, emphasize the importance of assessing non-verbal cognition in this patient group and provide direc

66 ardised by age and sex for three scales (non-verbal cognitive development, language development, and

67 anisms underlying natural eye contact during verbal communication and autistic traits in neurotypical

68 A healthy voice is crucial for verbal communication and hence in daily as well as profe

69 y under routine clinical conditions improved verbal communication in daily-life situations in people

70 ms underlying spontaneous eye contact during verbal communication remains unexplored.

71 Verbal communication was significantly improved from bas

72 mance during multiple tasks designed to test verbal communication.

73 erent learning mechanisms due to the lack of verbal communication.

74 repetitive behaviors and impaired verbal/non-verbal communication.

75 in the hemodynamic response, during natural verbal communication.

76 lingualism affords cognitive benefits beyond verbal communication.

77 or the 1-year mortality, the GCS without the verbal component 24 h after an ICA had the highest AUC (

78 n of pretransplant MRI severity and baseline verbal comprehension (r = -0.340; P = .008), perceptual

79 childhood blood lead level with deficits in verbal comprehension and processing speed were not stati

80 ing speed, memory, perceptual reasoning, and verbal comprehension in adolescence and adulthood.

81 y thus appears to play a similar role in non-verbal comprehension of sequential images as in language

82 ention also positively influenced children's verbal comprehension skills (0.28 SD higher at posttest,

83 eurocognitive test performance in 4 domains (verbal comprehension, perceptual [visual] reasoning, wor

84 imental tasks tapping into motor imagery and verbal conceptual verb processing in addition to neuroph

85 elevant question is the extent to which this verbal content is processed as overt speech in the brain

86 ading is a cognitive operation that produces verbal content with no vocal output.

87 in neurotypical people within a naturalistic verbal context.

88 This technique uses subtle nonverbal and verbal conversational primes to influence spectators to

89 Before each target image, a verbal cue validly or invalidly indicated a property of

90 ivation related to cognitive processing (non-verbal decision making).

91 nstructed personal models from participants' verbal descriptions and self-ratings of sensory/motor/co

92 the consent requirements, targeted consent's verbal disclosure is preferable to waiving consent, prov

93 s and 75% of those pursuing surgery reported verbal discouragement from pursuing a surgical career.

94 gnificantly more likely to perceive that the verbal discouragement was based on gender (P < 0.0001),

95 Both men and women reported high rates of verbal discouragement, but more women perceived that the

96 We also provided brief verbal education about diagnostic colonoscopy.

97 ion, pointing to abnormal recruitment during verbal encoding in patients and their siblings [P < 0.05

98 (beta +/- SE = -0.012 +/- 0.002; P < 0.001), verbal episodic memory (beta +/- SE = -0.009 +/- 0.002;

99 Lower risk of poor verbal episodic memory (OR: 0.784; 95% CI: 0.641, 0.959;

100 We investigated verbal episodic memory and intrinsic functional connecti

101 luded measures of global cognitive function, verbal episodic memory, semantic fluency, and calculatio

102 rations have been positively associated with verbal episodic memory.

103 In Experiment 2, participants made verbal estimates of the absolute distance between a sing

104 processing speed (B = -0.175, P = .05), and verbal fluency (B = -0.253, P = .02).

105 substitution (HR, 1.59; 95% CI, 1.22-2.04), verbal fluency (HR, 1.61; 95% CI, 1.23-2.08), and invert

106 ned the correlations between RSFC in ECN and verbal fluency (VF) in both groups as well as RSFC in DM

107 TX2 predicted subsequent decline in phonemic verbal fluency and Clinical Dementia Rating scale plus F

108 s were associated with better performance in verbal fluency and memory functions.

109 cognition (exp(b)=0.725, p=0.026), language, verbal fluency and visuospatial scores, and MND-FTD (OR=

110 icits in distinct cognitive domains, such as verbal fluency and working memory, are not underpinned b

111 nally, participants individually completed a verbal fluency assessment.

112 ly associated with intelligence quotient and verbal fluency in patients, and fully mediated group dif

113 he microstructural properties and cognition (verbal fluency language task, VF) and affect (anxiety) i

114 NIRS signals during the verbal fluency task (VFT) was acquired using a 52-channe

115 a greater number of users, the inclusion of verbal fluency tasks and repeat assessments.

116 functioning, the Trail Making Test, and the Verbal Fluency Test.

117 with higher scores in phonemic and semantic verbal fluency tests and with lower TMT A time.

118 executive functions, language functions and verbal fluency to ascertain whether functional deficits

119 functions (immediate recall, delayed recall, verbal fluency) and depressive symptoms (EURO-D scale) w

120 ns (motor, processing speed, working memory, verbal fluency, and executive functioning) to assess ant

121 sed five times using tests of verbal memory, verbal fluency, and reasoning.

122 ponse inhibition or selection, set shifting, verbal fluency, and recognition or working memory were i

123 color word test, letter-digit substitution, verbal fluency, and word learning) and a global cognitio

124 Word-description, verbal fluency, speech duration, speaking volume, and sp

125 the secondary outcomes were memory function, verbal fluency, working memory and executive function.

126 ing global function, executive function, and verbal fluency.

127 nd to decline with aging: delayed recall and verbal fluency.

128 erformance in both phonological and semantic verbal fluency.

129 was positively associated with the semantic verbal fluency.

130 sociated with less decline in WFT, a test of verbal fluency.

131 utcomes were latent variables of spatial and verbal fluid intelligence.

132 We used a verbal free recall paradigm in which the PCC was stimula

133 sked 189 neurosurgical patients to perform a verbal free-recall task, of which 96 had indwelling elec

134 and often leads researchers to draw sweeping verbal generalizations that lack a meaningful connection

135 Auditory verbal hallucinations (hearing voices) are typically ass

136 ychotic symptoms), and had enduring auditory verbal hallucinations during the previous 12 months, des

137 disturbances in psychosis, such as auditory verbal hallucinations, are associated with increased bas

138 ate the effect of AVATAR therapy on auditory verbal hallucinations, compared with a supportive counse

139 s of failing to statistically operationalize verbal hypotheses in a way that respects researchers' ac

140 st theories and hypotheses in psychology are verbal in nature, yet their evaluation overwhelmingly re

141 displeasure, and neither an established non-verbal indicator of positive affect, the Duchenne smile,

142 nline information (59.9-85.3), compared with verbal information].

143 be, we observed an increase in accuracy on a verbal insight task.

144 arning-social observation (experiment 2) and verbal instruction (experiment 3)-and how this learning

145 stones and significant speech delay (50% non-verbal); intellectual disability in the moderate to seve

146 Change in verbal intelligence did not significantly differ between

147 tle research has examined the role of dyadic verbal interactions on food intake.

148 dings support the significant role of dyadic verbal interactions on intake, and inform the developmen

149 Intake was associated with dyadic verbal interactions, and such relationship was complex i

150 relationship between food intake and dyadic verbal interactions.

151 a smaller discrepancy between nonverbal and verbal IQ and a greater likelihood of having achieved fl

152 mensional modelling to predict out-of-sample verbal IQ and depression from cortical metabolism alone.

153 lso significantly associated with cognitive (verbal IQ) decline and nominally associated with sub-thr

154 l positioning and hippocampal activation for verbal items (all P < 0.05, FWE-corrected).

155 In contrast, improved recognition of verbal items under haloperidol was reflected by enhanced

156 call performance and recognition accuracy of verbal items.

157 exhibited declines in IQ and in measures of verbal knowledge and of memory, but not processing speed

158 as poorer in RIRP than controls on a test of verbal learning (p=0.022) and of fine co-ordination of t

159 auditory-based TCT predicts improvements in verbal learning and clinical symptom reduction following

160 cifically, the cognitive domains represented verbal learning and memory (p = 0.0091, beta = -0.044) a

161 ren with OSAS, which correlates with a lower verbal learning and memory score.

162 n = 42) performed a dual-task paradigm and a verbal learning and memory test during and out of sympto

163 ted cognitive training (TCT) aims to enhance verbal learning and other domains of cognitive functioni

164 ssed on ketamine-induced: (1) impairments in verbal learning and recall measured by the Hopkins Verba

165 males on social cognition, processing speed, verbal learning and visual learning.

166 CT) of MMN and P3a predicted improvements in verbal learning as well as decreases in the severity of

167 o -0.18, Bonferroni-corrected p < 0.007) and verbal learning outcomes (B = -0.36, 95% CI -0.60 to -0.

168 ression, performed worse on the Rey Auditory Verbal Learning Task (p < 0.05), and had a markedly lowe

169 nces across neurocognitive tests [California Verbal Learning Test (CVLT trials 1-5,CVLT delayed recal

170 ; worse forgetting score on the Rey Auditory Verbal Learning Test (RAVLT) over time [p = 0.02, beta +

171 ual reproduction delayed recall and auditory verbal learning test delayed recall) were used to genera

172 episodic memory assessment by the California Verbal Learning Test, including measures of immediate fr

173 mplex Figure [immediate recall], and Hopkins Verbal Learning Test-Revised [delayed recall]) and proce

174 ured by the retention measure in the Hopkins Verbal Learning Test.

175 learning and recall measured by the Hopkins Verbal Learning Test; (2) impairments in working memory

176 Verbal learning was more impaired the greater the atroph

177 visual selective attention, working memory, verbal learning, and executive functioning), were genera

178 t was observed for MCCB speed of processing, verbal learning, and visual learning and UPSA total scor

179 e flexibility, immediate and delayed recall, verbal learning, and visuomotor coordination were variab

180 events, trauma, disordered thought content, verbal learning, information processing speed, and famil

181 ted with worse overall performance and worse verbal learning, verbal memory, executive function, psyc

182 logical domains of attention/working memory, verbal learning/memory and novel problem solving.

183 tage in several cognitive domains, including verbal list learning and global cognition.

184 TLE) and right TLE (RTLE) patients had lower verbal (LTLE 44 +/- 11; RTLE 45 +/- 10) and visual learn

185 n the road, this paradigm may serve as a non-verbal marker of autism for developmental and cross-spec

186 ients, respectively, studied either familiar verbal material or unfamiliar faces.

187 in all domains (0.16 < R2 < 0.58) except for verbal memory (0.05 < R2 < 0.06).

188 0.21 [95% CI 0.06-0.35], p = 0.006), and for verbal memory (0.12 [95% CI 0.01-0.24, p = 0.031), but n

189 d and significant benefit of waking rest for verbal memory (d = 0.38, p < 0.001).

190 .7 points, 95% CI 3.6-7.8; p<0.0001) and non-verbal memory (decline of 6.8 points, 4.8-8.7; p<0.0001)

191 , we noted significant worsening on tests of verbal memory (T score decline of 5.7 points, 95% CI 3.6

192 ment, a significant postoperative decline in verbal memory and confrontational naming was observed in

193 red with placebo is associated with improved verbal memory and other cognitive functions in older men

194 correlated with performance on language and verbal memory and positively with visuospatial ability.

195 Postsurgical verbal memory decline was more common in LTLE than in RT

196 left hippocampal tail predicted postsurgical verbal memory decline.

197 whose changes after ECT can track patients' verbal memory impairments (r = 0.613, p = 0.008).

198 ther baseline memory performance or post-ECT verbal memory impairments.

199 (18)F-ASEM binding was not associated with verbal memory in this small MCI sample.

200 Retention of verbal memory over 1 week was negatively correlated with

201 s associated with a dose-response decline in verbal memory over the following six years, independent

202 brain connections that can predict baseline verbal memory performance (r = 0.535, p = 0.026).

203 support vector regression model to estimate verbal memory performance based on connectivity.

204 We prospectively measured visual and verbal memory performance in 20 patients with epilepsy i

205 pplied hippocampus also was an advantage for verbal memory performance in cerebral small vessel disea

206 w DHub values accurately predicted declining verbal memory performance.

207 mine concentrations correlated with impaired verbal memory performance.

208 ive electrodes in brain regions that support verbal memory processing.

209 zures was the first factor that impaired the verbal memory retention between 30 minutes and 1 week.

210 pples were more pronounced during successful verbal memory retrieval and recover the cortical neural

211 tates was associated with steeper decline in verbal memory scores (e.g., for 9-year change in immedia

212 tes was associated with a steeper decline in verbal memory scores over time, but only among women.

213 fitted with indwelling electrodes perform a verbal memory task and asked how encoding or retrieval c

214 Here, using a paired-associates verbal memory task, we combine behavioural data, computa

215 s from 115 patients performing a free recall verbal memory task.

216 Hippocampal function was assessed using a verbal memory task.

217 ct size 1.2) and also performed worse on the verbal memory task.

218 inical Dementia Rating Scale sum of boxes, a verbal memory test (logical memory), and a controlled or

219 or, language, spatial attention, spatial and verbal memory) with the pattern of lesion and indirect s

220 so exhibited reduced frontal recruitment for verbal memory, and more pronounced left posterior hippoc

221 th affective psychopathology, impairments in verbal memory, and overall cognitive function: these fin

222 erall performance and worse verbal learning, verbal memory, executive function, psychomotor speed, an

223 Cognitive outcomes were performance on verbal memory, semantic fluency, working memory, and exe

224 ition was assessed five times using tests of verbal memory, verbal fluency, and reasoning.

225 ariables of information processing speed and verbal memory.

226 working memory, whereas MR was implicated in verbal memory.

227 limited linguistic ability seen in minimally-verbal (MV) children with Autism Spectrum Disorder (ASD)

228 he sound-induced flash illusion (SIFI) and a verbal n-back task (0-back, low load and 2-back, high lo

229 We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mec

230 , an extensive selection of standardized non-verbal neuropsychological tests was administered to 38 i

231 Here we use a non-verbal non-task-dependent measure known as the sniff res

232 itualistic-repetitive behaviors and impaired verbal/non-verbal communication.

233 ive disorder, neuroticism, schizophrenia and verbal-numerical reasoning (absolute rg effect sizes bet

234 identified between trail-making measures and verbal-numerical reasoning (rg>0.6), general cognitive f

235 ied: 2 loci shared between schizophrenia and verbal-numerical reasoning, 6 loci shared between schizo

236 aradoxically predicted greater likelihood of verbal omission when compared with manual notation.

237 The strongest predictor of trainee verbal omissions was a preceding failure to include the

238 ported racial discrimination, 30.3% reported verbal or physical abuse (or both), and 10.3% reported s

239 Mistreatment (i.e., discrimination, verbal or physical abuse, and sexual harassment) may con

240 uman temporal lobe as participants perform a verbal paired associates memory task that requires the e

241 ssment to evaluate episodic memory using the verbal paired associates test.

242 of words [9-11], as participants performed a verbal paired-associates task.

243 es of duty hour violations (23.3% vs 11.1%), verbal/physical abuse (41.6% vs 28.6%), gender discrimin

244 ata from prerounding notes ("artifacts") and verbal presentations during daily rounds.

245 ipant was asked to list words in response to verbal probes querying five psoriasis treatments: self-i

246 Furthermore, performance on tasks of verbal processing was within the normal range.

247 Verbal production ability is related to total ATL atroph

248 -fluent, showed reduction in the quantity of verbal production, lexical diversity, and informativenes

249 e systems-reading, speech comprehension, and verbal production-in cross-sectional and longitudinal ex

250 systems: reading, speech comprehension, and verbal production.

251 atients to converse and respond to visual or verbal prompts to identify and protect brain tissue supp

252 a unified model, reflecting verbal quantity, verbal quality, and motor speech, alongside four core la

253 ere extracted in a unified model, reflecting verbal quantity, verbal quality, and motor speech, along

254 discomfort was evaluated using a four-point verbal rating scale hourly for the first 8 hours after s

255 m-solving and apply this approach to the non-verbal Raven Advanced Progressive Matrices test for flui

256 ospatial deficits relative to verbal and non-verbal reasoning abilities and hypersocial personality.

257 The psychology of verbal reasoning initially compared performance with cla

258 d a main effect on executive functioning and verbal reasoning.

259 rized by deficits in visual-spatial, but not verbal, reasoning.

260 Vaccination history was collected through verbal recall by the caregiver and, when available, by H

261 WMH volume was greater in MetS, but verbal recall performance was not impaired.

262 nd WMH volume was negatively associated with verbal recall performance.

263 c variables on WMH load (from FLAIR MRI) and verbal recall performance.

264 scores (e.g., for 9-year change in immediate verbal recall z score, marginal risk difference (RD) = -

265 ce interval (CI): -0.16, -0.03); for delayed verbal recall z score, RD = -0.10 (95% CI: -0.17, -0.03)

266 ediate (P = 0.0036) and delayed (P = 0.0115) verbal recall.

267 In the absence of verbal report, these nociceptive responses are used as m

268 te judgments of egocentric distance included verbal reports and visually directed motion toward a mem

269 present study confirm that blind pulling and verbal reports are independently influenced by gravity.

270 ion) and aversive outcomes (e.g., footage or verbal reports from a violent terrorist attack) without

271 lts showed that, for all gravity levels, the verbal reports of distance judgments were accurate for t

272 5], and pictures are encoded via visual and verbal routes [6].

273 th males and females) followed novel complex verbal rules that varied across control-related variable

274 sociations (sentence processing, reading and verbal semantics).

275 f bullying were physical (18.3%, 13.7-23.0), verbal-sexual (13.2%, 10.2-16.2), and racial-ethnic (11.

276 scores than controls for executive function, verbal speed, processing speed, auditory memory, and fin

277 haracterised by heightened responsiveness to verbal suggestion.

278 Responsiveness to direct verbal suggestions (suggestibility) has long been hypoth

279 Three orthogonal components for the non-verbal tests were extracted, which were interpreted as s

280 uicide research has primarily been guided by verbal theories containing vague constructs and poorly s

281 rformance in novel nonverbal and traditional verbal TM tasks.

282 We showed that verbal ToM reasoning was supported by cortical surface a

283 at is their relation to the later-developing verbal ToM reasoning?

284 age when children start passing traditional verbal ToM tasks.

285 ems for reasoning about others' minds-mature verbal ToM that emerges around 4 y of age, whereas nonve

286 here two different systems for nonverbal and verbal ToM, and when is the developmental onset of matur

287 rustworthiness of the source, and mostly for verbal uncertainty communication.

288 for learning linguistic biomarkers from the verbal utterances of elderly individuals could help the

289 ee significant interaction effects involving verbal variables: the interaction effect of staff positi

290 play in predicting upcoming events in a non-verbal visual narrative.

291 e.g., global warming, immigration), formats (verbal vs. numeric), and magnitudes (high vs. low) influ

292 The verbal word learning task and the neuropsychiatric inven

293 g and memory (p = 0.0091, beta = -0.044) and verbal working memory (p = 0.0062, beta = -0.036).

294 Verbal working memory (vWM) involves storing and manipul

295 scores on cognitive tests that may depend on verbal working memory and encoding.

296 sing, including lexical retrieval as well as verbal working memory and visual scene scanning.

297 the left inferior frontal cortex diminishes verbal working memory capacity.

298 hed group of uninfected controls performed a verbal working memory task during magnetoencephalography

299 ion, which is a neural correlate of enhanced verbal working memory.

300 sk performance and an independent measure of verbal working memory.