ライフサイエンスコーパス: neurotypical

1 d to predict diagnostic group (autism versus neurotypical).

2 l) and ADHD diagnoses (n=2,026 ADHD; n=2,409 neurotypical).

3 had an ADHD diagnosis and 2652 (84.5%) were neurotypical.

4 ecific power spectral density were generally neurotypical.

5 ose with restrictions on inhibitory tone and neurotypicals.

6 ting the Magnocellular-Deficit dyslexics and neurotypicals.

7 ra-individual change) and T2) to that of the neurotypicals.

8 slexics; 46.3%) had comparable thresholds to neurotypicals.

9 macromolecules) levels in 34 healthy men (17 neurotypicals, 17 ASD).

10 We analyzed 131 human brains (44 neurotypical, 19 with Tourette syndrome, 9 with schizoph

11 stimuli-elicited cortical oscillations in 48 neurotypical (20 females) and 49 children (26 females) w

12 In this study, 1383 university students (679 neurotypical, 704 neurodivergent individuals)-matched on

13 eir electrophysiological correlates in young neurotypical adolescents and adolescents with ASD.

14 c gene expression in multiple data sets from neurotypical adult and prenatal human neocortical tissue

15 Sixty right-handed neurotypical adult men aged 18 to 45 years, and 60 right

16 Here, we studied neurotypical adults (n = 50) or adults with sound sensit

17 the control of upper extremity movements in neurotypical adults and hemisphere-specific motor defici

18 ltered brain function in reward circuitry in neurotypical adults and may increase risk for autism spe

19 Biomarker Consortium - Down Syndrome and 172 neurotypical adults from the Wisconsin Registry for Alzh

20 between stimulants, sleep, and cognition in neurotypical adults has received little attention.

21 ontrasting potential timing differences with neurotypical adults is needed to identify optimal Alzhei

22 hat the perceptual basis of drawing skill in neurotypical adults is not due to a local processing bia

23 earch regarding the effect of white noise on neurotypical adults presents mixed results, thus the imp

24 spontaneous social imitation in autistic and neurotypical adults using fNIRS brain imaging.

25 that adults with ASD are less surprised than neurotypical adults when their expectations are violated

26 We showed that, like infants, neurotypical adults' (n = 17 participants) eye movements

27 The neurotypical adults' limbic response reverted more rapid

28 that autistic adults performed comparably to neurotypical adults, and the dynamics of learning did no

29 analyses further revealed that, relative to neurotypical adults, patients with aphasia, both fluent

30 ee sham-controlled experiments, each with 12 neurotypical adults, that measured the effects of transc

31 We found that in neurotypical adults, the nondominant left hand does comp

32 ultivoxel pattern analysis, find that (i) in neurotypical adults, the RTPJ shows reliable and distinc

33 esonance imaging scans were collected for 25 neurotypical adults.

34 al network was related to autistic traits in neurotypical adults.

35 acial emotions in adults with ASD-but not in neurotypical adults.

36 s and examined working memory performance in neurotypical adults.

37 ents with chronic post-stroke aphasia and 20 neurotypical adults.

38 t or during voluntary movement during GVS in neurotypical adults.

39 cortical spatial expression of CNV genes in neurotypical adults.

40 unperturbed voluntary movement of the arm in neurotypical adults.

41 n limitations and evaluated it in a group of neurotypical adults.

42 nflammatory markers in plasma, compared with neurotypical, age-matched controls (n = 16, mean age = 2

43 naptic genes in postmortem cerebella from 14 neurotypical and 11 autistic individuals.

44 ndot stereoacuities for 110 participants (90 neurotypical and 20 with amblyopia) and compared them to

45 Twenty neurotypical and 22 autistic adults learned a probabilis

46 co-developmental process is distinct between neurotypical and ASD children.

47 back also characteristically differs between neurotypical and ASD groups.

48 ared sex prediction model performance across neurotypical and autistic males and females.

49 This effect was present for both neurotypical and autistic participants, indicating simil

50 color similarity structures of humans (color-neurotypical and color-atypical participants) and two GP

51 mprehension of its structure and function in neurotypical and disordered development.

52 iability in auditory processing abilities in neurotypical and dyslexic populations.

53 ture and function of the human brain in both neurotypical and neuroatypical individuals.

54 In both the neurotypical and neurodivergent groups, higher levels of

55 yloid in their cerebrospinal fluid, yielding neurotypical and preclinical, cognitively healthy, subgr

56 es considering autism (n=764 autistic; n=893 neurotypical) and ADHD diagnoses (n=2,026 ADHD; n=2,409

57 tion also increases aggression, at least in "neurotypical" animals with intact AVP signaling.

58 tography on diffusion data in 33 ADHD and 19 neurotypicals, assessing their impact on both IPS recrui

59 engage additional brain mechanisms to match neurotypical behaviour and compensate for social difficu

60 Whereas neurotypical brain activity frequently transits between

61 ses that regulate sex differentiation in the neurotypical brain contribute to sex differences in the

62 Neurons with complex karyotypes arise during neurotypical brain development, but neurons are almost n

63 hanisms by which maternal UBE3A loss derails neurotypical brain growth and function.

64 work for studying arousal self-regulation in neurotypical brains and in diseases such as attention-de

65 st during maximum background interference in neurotypicals, but not ASD.

66 n and facial expression was greater when the neurotypical child spent more time looking at the face,

67 iology was acquired while 29 autistic and 31 neurotypical children (7-17 years old, inclusive of both

68 h, compared to a control group of parents of neurotypical children (N = 20), as well as to nonaloof p

69 children diagnosed with autism (N = 224) and neurotypical children (N = 69).

70 ren, their non-ASD siblings, and age-matched neurotypical children aged 3 to 16 years of age as well

71 data from 548 children (166 with autism, 295 neurotypical children and 87 children with ADHD) and cor

72 equations to compare these features between neurotypical children and children with ASD and/or ADHD

73 ging a large structural brain MRI dataset of neurotypical children and those diagnosed with ASD, we e

74 regularities over a 1-year offline period in neurotypical children between the age of 9 and 15.

75 We tested 125 neurotypical children between the ages of 6 and 14 years

76 Our results show that neurotypical children exhibit heterogenous responses to

77 Neurotypical children faced the screen more often and bl

78 ed magnetic resonance imaging (MRI) of 3,826 neurotypical children from the Adolescent Brain Cognitiv

79 wever, homogeneity of response in individual neurotypical children has not been established.

80 poral contrast were compared in dyslexic and neurotypical children individually matched for age and i

81 Whereas neurotypical children produced emotional sentences with

82 cting functional connectivity, where ASD and neurotypical children showed divergent patterns.

83 dicated that this social influence effect in neurotypical children was due to changes in the integrat

84 Here, we presented 20 neurotypical children with congruent and incongruent vis

85 Using data from 41 children with ASD and 41 neurotypical children, we examined functional connectivi

86 arietal as well as fronto-central regions of neurotypical children.

87 ry of behavioral development between ASD and neurotypical children.

88 and had a higher mean blink rate compared to neurotypical children.

89 as demonstrated in autistic children than in neurotypical children.

90 fibrillary tau tangles in DS relative to the neurotypical cohort.

91 uman induced pluripotent stem cells from one neurotypical control donor null for full-length CNTNAP2,

92 s with AUD (n = 36, n(nuclei) = 248,873) and neurotypical control individuals (n = 37, n(nuclei) = 21

93 dividuals with non-dup15q autism (n = 7) and neurotypical control individuals (n = 7).

94 h-functioning adults with ASD and 98 matched neurotypical control individuals aged 18 to 42 years.

95 four individuals with schizophrenia and four neurotypical control individuals for whom postmortem cau

96 of individuals with Alzheimer's disease and neurotypical control individuals.

97 of 14 individuals with AS and a group of 14 neurotypical control participants performed a face-match

98 Compared with neurotypical control participants, participants with ASD

99 ntly lower (by ~15%) in autistic relative to neurotypical control participants.

100 ctively, most clearly distinguished ASD from neurotypical control subjects in the three cohorts.

101 ith chronic LCVA (14 females) and 16 matched neurotypical controls (8 females) to use novel tools in

102 h included unaffected siblings and unrelated neurotypical controls (ages 3-12 y; n = 193), whether pl

103 udy in individuals with 3q29Del (N = 24) and neurotypical controls (N = 1608) using structural MRI.

104 D; n = 24, mean age 23 years, 8 females) and neurotypical controls (n = 24, mean age 22, 8 females) d

105 tly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage.

106 ect design in 30 male adults with ASD and 17 neurotypical controls (NT) receiving placebo.

107 ipotent stem cells (iPSCs) from patients and neurotypical controls and differentiated these into hipp

108 latory mechanisms underlying MDD compared to neurotypical controls by combining single-cell chromatin

109 Adults with CP and neurotypical controls completed a sensorimotor task that

110 s (FDR <.1) between children with autism and neurotypical controls in a set of 115 discordant sibling

111 In a fMRI task, 30 adults with ASD and 27 neurotypical controls read vignettes whose protagonists

112 d with areas that were sexually dimorphic in neurotypical controls, in both grey and white matter, su

113 ost-mortem brains of individuals with BD and neurotypical controls, including 511 total samples from

114 left hemisphere activations for language in neurotypical controls, participants with complete or par

115 t males with autism spectrum disorder and 61 neurotypical controls, using two complementary approache

116 4 non-deletion), and 4 age- and sex-matched neurotypical controls.

117 h autism spectrum disorder (ASD) compared to neurotypical controls.

118 n over lateral occipital regions relative to neurotypical controls.

119 eaker in the persons with CP compared to the neurotypical controls.

120 ties between subjects with schizophrenia and neurotypical controls.

121 ortical and subcortical brain regions from 6 neurotypical controls.

122 mortem samples from individuals with ASD and neurotypical controls.

123 dback from MT+ to V1, and was not present in neurotypical controls.

124 s assessed via magnetic resonance imaging in neurotypical controls.

125 stem connectivity in both youth with ASD and neurotypical controls.

126 ts with autism spectrum disorder relative to neurotypical controls.

127 with ASC showed similar deficits compared to neurotypical controls.

128 Assessment of neurotypical cortex tissue has reported parallel pattern

129 ested as neuroanatomical outliers within the neurotypical cortical thickness range in a wider neural

130 muli on the right and were slower than their neurotypical counterparts to look at faces on the left.

131 typical abilities and even outperform their neurotypical counterparts.

132 tions with deep whole-genome sequencing in a neurotypical deceased individual and confirmed results w

133 als with high-functioning ASDs compared with neurotypical, demographically matched controls.

134 nt in several primary outcomes indicative of neurotypical development during adolescence compared to

135 functional brain activity more indicative of neurotypical development relative to the standard care g

136 toddlers who were aged 18 to 32 months with neurotypical development who were recruited from a volun

137 rlapped with regions that differed by sex in neurotypical development.

138 resulted in delivery of live pups exhibiting neurotypical development.

139 attention, in children with autism, FXS, and neurotypical development.

140 cell populations MEF2C functions to regulate neurotypical development.

141 pression of NTNG2 plays an important role in neurotypical development.

142 PTSD (N=107) or MDD (N=109) as well as from neurotypical donors (N=109).

143 rom four hemispheres and two different human neurotypical donors, we identified 287 and 780 mosaic va

144 from anterior human hippocampus in ten adult neurotypical donors.

145 -Down Syndrome (ABC-DS), ADAD (n = 297), and neurotypical familial controls (n = 188) from the Domina

146 s with DS and ADAD had lower FDG compared to neurotypical familial controls (p < 0.01).

147 oms, FDG uptake was lower for DS compared to neurotypical familial controls (p < 0.01).

148 ADAD baseline FDG was similar to neurotypical familial controls until 7 years before expe

149 es with RTT (median age = 10.7 years) and 26 neurotypical females (median age = 10.6 years).

150 Features positively predictive of neurotypical females were on average significantly less

151 n Autism Project (141 neurotypical males, 76 neurotypical females, 202 autistic males, 73 autistic fe

152 es, females with ASC performed comparably to neurotypical females.

153 (ADHD, PTSD, phobia) based on deviation from neurotypical fixation behavior.

154 These results suggest that age-related neurotypical FNC correlates with genetic risk for SCZ an

155 g regions comprising the DMN relates both to neurotypical function and to ASD and/or ADHD, and they s

156 s with the same psychiatric disorders, and a neurotypical group (total N=329).

157 rs following beta-amyloid onset, whereas the neurotypical group displayed greater temporal latency be

158 tates) in the autistic group compared to the neurotypical group for both IOG and CBR.

159 y high for IQ: they were more similar to the neurotypical group than to other patients.

160 k altered the sensory representations of the neurotypical group toward the novel experimental statist

161 ion, ASD diagnosis (in N = 35 ASD and N = 64 neurotypical group), measures of social responsiveness,

162 f the other patient groups but less from the neurotypical group; consistently, their genomic profile

163 nd food texture awareness differences in two neurotypical groups having either a high or low subjecti

164 jects who died from suicide as well as their neurotypical healthy controls.

165 Using fMRI in autistic and neurotypical human adults (females and males), we assess

166 In neurotypical human adults, we isolated covert attention

167 ach to 2,125 frontal cortical neurons from a neurotypical human brain.

168 Here neuromodulation of RCrusI in neurotypical humans resulted in altered functional conne

169 ants with cerebellar ataxia (CA) compared to neurotypicals in solving sequential discrete problems.

170 howed "shallower" sigmoid curves compared to neurotypicals, indicating the presence of an indistinct

171 ura mater, and dural fibroblasts of a single neurotypical individual, devise strategies to discover s

172 educed in autistic individuals compared with neurotypical individuals (g = -0.41; SE = 0.11; 95% cred

173 in both autistic and ADHD groups relative to neurotypical individuals and associated with ADHD traits

174 ith datasets of gene expression in brains of neurotypical individuals and individuals with autism spe

175 ion of the brain and its interconnections in neurotypical individuals and, increasingly, in those wit

176 causes to sensory signals in ASD relative to neurotypical individuals given identical sensory cues, a

177 Neurotypical individuals have subjective sensitivity dif

178 bidirectional difficulties for both ASD and neurotypical individuals in interacting with one another

179 roimaging data, and 6 postmortem brains from neurotypical individuals in the Allen Human Brain Atlas

180 that a greater number of autistic traits in neurotypical individuals is associated with a more detai

181 coverage scWGS of 107 single neurons from 18 neurotypical individuals of various ages, and found that

182 Neurotypical individuals often experience a subjective r

183 Neurotypical individuals preferentially recruit the midd

184 the hypothesis that metamodal engagement in neurotypical individuals requires matching the encoding

185 s, 20 mixed glia, and 56 single neurons from neurotypical individuals spanning 0.4-104 years of age a

186 ortem brain tissue of admixed Black American neurotypical individuals to identify ancestry-dependent

187 avioral and fMRI data from a large sample of neurotypical individuals to show that participants' resp

188 ned the neural correlates of these traits in neurotypical individuals using the SRS-A and established

189 nces in basic ways of acting between ASD and neurotypical individuals which would prevent them from u

190 d a clinical diagnosis of SCZ, along with 15 neurotypical individuals with low PRS.

191 at a sensorimotor level in both autistic and neurotypical individuals with varying levels of autistic

192 al participants (899 ASD individuals and 865 neurotypical individuals) were included in the meta-anal

193 leus of the striatum of 443 individuals (245 neurotypical individuals, 154 individuals with schizophr

194 udy of 333 individuals (161 autistic and 172 neurotypical individuals, aged 6-30 years), with two ass

195 udy of 483 individuals (204 with ASD and 279 neurotypical individuals, ages 6-30 years), with assessm

196 tional expressions in autistic compared with neurotypical individuals, and whether these differences

197 ive enhancement is widespread and growing in neurotypical individuals, despite mixed scientific evide

198 this level may be particularly important in neurotypical individuals, where novel sensory modalities

199 tional and bias-free decision-making than do neurotypical individuals.

200 ty between individuals with ASD than between neurotypical individuals.

201 pproaches to analyze 10 postmortem brains of neurotypical individuals.

202 hat were derived from patients with PTHS and neurotypical individuals.

203 printed words, spoken words) in autistic and neurotypical individuals.

204 oms have remitted are indistinguishable from neurotypical individuals.

205 ze autistic facial expression, compared with neurotypical individuals.

206 of the corpus callosum (AgCC) and 21 matched neurotypical individuals.

207 ted in cognitively normal older adults with "neurotypical" levels of amyloid and tau.

208 and LEAP, features positively predictive of neurotypical males were on average significantly more pr

209 sm spectrum condition and age and IQ-matched neurotypical males while they made reflective mentalizin

210 he Longitudinal European Autism Project (141 neurotypical males, 76 neurotypical females, 202 autisti

211 th ASC showed poorer performance relative to neurotypical males, females with ASC performed comparabl

212 WM volumes are larger in autistic males than neurotypical males.

213 lability was compared in autistic (N=16) and neurotypical (N=16) adults between 18 and 36 years of ag

214 Using the neurotypical Nathan Kline Institute Rockland Sample (N =

215 t, they examined whether deviations from the neurotypical neuroanatomical profile were associated wit

216 d on external adult observations anchored in neurotypical notions of appropriate emotional responses1

217 eplicative, stress lead to p53 activation in neurotypical NPCs.

218 = 15.7 4 years; MACS I-III; GMFCS I-IV) and neurotypical (NT) adolescents (N = 21; Age = 14.3 2 year

219 functioning adults with DS (n = 4) and older neurotypical (NT) adults (n = 37).

220 Results showed that, similar to neurotypical (NT) adults, ASD adults were faster to reco

221 assessments were obtained from 43 ASD and 41 neurotypical (NT) children, aged 8-17.

222 als colonized with microbiotas from familial neurotypical (NT) controls.

223 ivity in fourteen adults with CP and sixteen neurotypical (NT) controls.

224 SD) differs significantly from that of their neurotypical (NT) counterparts.

225 ty disorder (ADHD), comorbid ASD + ADHD, and neurotypical (NT) development.

226 Neurotypical (NT) individuals and individuals with autis

227 In experiment 1, ASD and neurotypical (NT) participants performed a ToM task desi

228 Finally, Experiment 4 demonstrates that, in neurotypical (NT) participants, difficulties with ToM co

229 ren with autism spectrum condition (ASC) and neurotypical (NT) peers as they watched scenes of a chil

230 aze behaviors of children with ASD and their neurotypical (NT) peers during a screen-based and a live

231 ements of babies diagnosed later with ASD or neurotypical (NT) that are collected routinely during pr

232 difficulty using non-stereoscopic cues than neurotypical observers.

233 ot adequately distinguish the dyslexics from neurotypicals, on the basis of flicker thresholds alone.

234 Thirty-one neurotypical participants aged 18-30 years completed anh

235 r neurotypical which results in 96.1% of all neurotypical participants being correctly identified as

236 speech could increase along the life-span of neurotypical participants but would be reduced in autist

237 show that the similarity structure of color-neurotypical participants can be remarkably well aligned

238 vestigated the trial-by-trial performance of neurotypical participants in a serial discrimination tas

239 Neurotypical participants overweighted recent stimuli, r

240 Importantly, ASD participants and neurotypical participants showed distinct associations b

241 nces for vitality form recognition, we asked neurotypical participants to identify the vitality form

242 Here, 38 neurotypical participants underwent two fMRI sessions ac

243 ASD and neurotypical participants viewed a large set of naturali

244 To explore feasibility, 10 neurotypical participants were recruited for repeated ki

245 Patient DS, along with several neurotypical participants, completed the three standard

246 ecreased levels of grouping in autistic than neurotypical participants, consistent with elements of e

247 le-case analyses indicated that, compared to neurotypical participants, DS showed (1) impaired invers

248 Compared to neurotypical participants, individuals with dyslexia wei

249 Compared to neurotypical participants, participants with RTT had gre

250 ed sensorimotor control in both autistic and neurotypical participants, with all individuals using pr

251 nd inner speech contribution in autistic and neurotypical participants.

252 -scale datasets comprising a total of 41,075 neurotypical participants.

253 ed, with no differences between autistic and neurotypical participants.

254 gments based less on intent information than neurotypical participants.

255 hronological age = 30.20, SD = 7.07), and 15 neurotypical peers (mean chronological age = 36.73, SD =

256 ith MLD are significantly discriminable from neurotypical peers before, but not after, tutoring, sugg

257 differentiate adolescents with TD from their neurotypical peers, and to monitor symptom-specific func

258 sociated with sensory overresponsivity, than neurotypical peers.

259 83 participants with ASD and 76 age-matched neurotypical peers.

260 n the cognitive style of autistic people and neurotypical people with autistic traits.

261 eye tracking to investigate this relation in neurotypical people within a naturalistic verbal context

262 nal model of IM that applies to autistic and neurotypical people.

263 verbal communication and autistic traits in neurotypical people.

264 agreement with predictive coding accounts of neurotypical perception and indicate that visual process

265 thus the implications of white noise on the neurotypical population remain unclear.

266 d processes on sensorimotor exploration in a neurotypical population.

267 ts vary along a continuum extending into the neurotypical population.

268 l and non-social skills in both autistic and neurotypical populations.

269 that intranasal oxytocin may promote a more neurotypical profile in treatment-resistant CP children,

270 iations of neuroanatomical features from the neurotypical profile predicted outcome at the individual

271 ation (DNAm) sites from 171 donors including neurotypicals, PTSD, and major depressive disorder cases

272 sociated with measures of reading fluency in neurotypical readers.

273 MGB) during speech processing in contrast to neurotypical readers.

274 faster RANln scores in dyslexics, but was in neurotypical readers.

275 ffect reading-related cognitive abilities in neurotypical readers.SIGNIFICANCE STATEMENT Developmenta

276 tly lower temporal frequency thresholds than neurotypicals (referred to as 'Magnocellular-Deficit' dy

277 andardized mean change score between ASD and neurotypical samples (ie, Hedges g).

278 ion to upright and inverted faces in ASD and neurotypical samples were included for quantitative synt

279 In neurotypicals, sensitivity to visual stimuli was disrupt

280 ability in A25, mimicking the effects of the neurotypical serial pathway identified here.SIGNIFICANCE

281 cal maps of sex-by-diagnosis differences and neurotypical sex differences were evaluated.

282 mposition can discriminate ASD subjects from neurotypical siblings (NTs, AUC = 0.66), with 108 differ

283 in individuals with ASD as prerequisites for neurotypical social interaction.

284 es autistic individuals employ to blend into neurotypical social norms, often at costs to psychologic

285 In the placebo condition, the neurotypical SSVEP response was affected by both the for

286 ferent neurodivergences), neurodivergent and neurotypical students in general were equivalent in cogn

287 larger in the preclinical compared with the neurotypical subgroup.

288 oral patterns of the ANNs better matched the neurotypical subjects 'behavior than those measured in A

289 hs to weeks, and lead to fast improvement in neurotypical subjects and chronic cortically blind patie

290 amples of human postmortem brain tissue from neurotypical subjects and individuals with schizophrenia

291 ether a greater number of autistic traits in neurotypical subjects is associated with an increased re

292 deprived individuals, with mixed evidence in neurotypical subjects, thereby limiting its support as a

293 on levels in the intron 1 area compared with neurotypical subjects.

294 Compared to neurotypicals, the dyslexic group displayed significantl

295 on of the participants as on the spectrum or neurotypical which results in 96.1% of all neurotypical

296 eport included 567 BBC children (92 ASD, 475 neurotypical), who were recruited at birth and prospecti

297 to social and non-social autistic traits, in neurotypical women and men.

298 itigate social challenges and survive in the neurotypical world.

299 erformance, creativity, and stress levels of neurotypical young adults in a private office space.

300 -allele dosage and symptom severity, whereas neurotypical youth showed increased NAcc connectivity wi