ライフサイエンスコーパス: psychiatric

1 gastrointestinal (24.1%), bone (22.9%), and psychiatric (19.3%) symptoms were the most common sympto

2 Schizophrenia is a severe neurodevelopmental psychiatric affliction manifested behaviorally at late a

3 s exposure (PNSE) increases risk for adverse psychiatric and behavioral outcomes in offspring.

4 or alcohol-consumption liability and related psychiatric and behavioral phenotypes.

5 cts of antidopaminergic medication on motor, psychiatric and cognitive decline, over a 3-year period.

6 analyzed in relation to sleep duration, and psychiatric and cognitive measures in 11,067 9-11-year-o

7 sleep duration in adults is correlated with psychiatric and cognitive problems.

8 Further, several psychiatric and developmental disorders that disrupt cog

9 amine receptor D2 (DRD2) are associated with psychiatric and mental disorders.

10 standing the pathophysiology of behavioural, psychiatric and neurodegenerative diseases.

11 ulting from aberrant network excitability in psychiatric and neurological diseases, such as epilepsy.

12 findings open new possibilities for probing psychiatric and neurological disorders impacted by insul

13 orkplaces was associated with mortality from psychiatric and self-harm-related conditions.

14 e brain's striatum, thereby affecting motor, psychiatric, and cognitive functions.

15 reported in several neurological, metabolic, psychiatric, and intestinal disorders, paving the way to

16 with diseases including neurodevelopmental, psychiatric, and neurodegenerative disorders such as aut

17 the following topics: bvFTD history taking, psychiatric assessment, clinical scales, physical and ne

18 they reached adulthood, along with extensive psychiatric assessment.

19 Both histories suggest that our major psychiatric categories evolved through a complex process

20 ioning that underlie ADHD and other existing psychiatric categories to create informative phenotypes

21 s emblematic of the problems in the existing psychiatric classification system.

22 use and related consequences, women had more psychiatric comorbidities and were less likely to be lis

23 The authors examined psychiatric comorbidities associated with alcohol use di

24 All 6 had psychiatric comorbidities.

25 substance misuse outcomes, independently of psychiatric comorbidity and familial factors shared betw

26 nd substance misuse outcomes, accounting for psychiatric comorbidity and familial factors.

27 FMD clinical characteristics, psychiatric comorbidity and symptomatology, and childhoo

28 Psychiatric comorbidity is known to impact upon use of n

29 nd in vulnerable individuals associated with psychiatric comorbidity, genetic and environmental facto

30 Targeting medical and psychiatric comorbidity, integrating adjunctive psychoso

31 a for a past-year alcohol use disorder had a psychiatric comorbidity, while only one-third of heteros

32 n a nicotine patch in adults with a comorbid psychiatric condition, initiating varenicline in adults

33 ly vulnerable to political alienation due to psychiatric conditions (n = 13,884 and n = 33,062, respe

34 Symptom expression in psychiatric conditions is often linked to altered threat

35 slexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophre

36 psychotic disorders are highly debilitating psychiatric conditions that lack a clear etiology and ex

37 Eating disorders are life-interrupting psychiatric conditions with high morbidity and mortality

38 ncy and increased risk of neurodevelopmental psychiatric conditions, such as schizophrenia and autism

39 for associations between genetic loading for psychiatric conditions, symptom profiles and esketamine

40 vascular health, as well as neurological and psychiatric conditions.

41 sentation including medical, behavioural and psychiatric conditions.

42 , vascular and neurodegenerative disease and psychiatric conditions.

43 therapeutic approach for neurodevelopmental psychiatric conditions.

44 uncertainty, observed in autism and related psychiatric conditions.

45 blem with substantial economic, medical, and psychiatric consequences.

46 ulation-based comparison group, five using a psychiatric control group, and four using a discordant-s

47 In this meta-analysis, neither psychiatric control nor discordant-sibling designs suppo

48 zophrenia or schizoaffective disorder or non-psychiatric control subjects, and key outcomes, stratifi

49 cortex (dlPFC) of 15 MDD and 15 matched non-psychiatric control subjects.

50 ession, anxiety, and ELM scores were used as psychiatric controls.

51 chiatric PRSs are moderately associated with psychiatric diagnoses but are not yet clinically predict

52 nformation on gender, neurodevelopmental and psychiatric diagnoses including autism, and measures of

53 itecture of electronic health record-derived psychiatric diagnoses is similar to ascertained research

54 nce use, and number of previously documented psychiatric diagnoses) were analyzed using Cox regressio

55 adjusted for sociodemographics, comorbidity, psychiatric diagnoses, and self-harm.

56 s (i.e., childhood trauma exposure, lifetime psychiatric diagnoses, psychotropic medication use, FKBP

57 Nonrandom mating has been shown for psychiatric diagnoses, with hypothesized-but not quantif

58 P-GluA1-Ser845 were not associated with the psychiatric diagnosis and symptoms of patients.

59 eriences at ages 11-12 predicted receiving a psychiatric diagnosis in child and adolescent mental hea

60 (including major depression and other major psychiatric diagnosis); and (5) repeated noncompliance.

61 ~50% of patients with bvFTD receive a prior psychiatric diagnosis, and average diagnostic delay is u

62 greatly advance biological determination of psychiatric diagnosis, which is critical for the develop

63 Few if any experts believe that existing psychiatric diagnostic categories included in DSM and IC

64 bstance abuse (alcohol and drug); (4) severe psychiatric disease (including major depression and othe

65 gnaling pathway with direct implications for psychiatric disease origin.

66 ic variants associated with neurological and psychiatric disease risk.

67 ess exposure and as a contributing factor to psychiatric disease.

68 insight into the neuron subtypes involved in psychiatric disease.

69 haps can be applied to other mouse models of psychiatric disease.

70 potential involvement in brain function and psychiatric disease.

71 has not yet been applied to animal models of psychiatric disease.

72 iseases such as cancer, gastrointestinal and psychiatric diseases and disorders.

73 tanding sex differences in the prevalence of psychiatric diseases associated with altered risk taking

74 ssors and have been implicated in many neuro-psychiatric diseases such as schizophrenia, Alzheimer's

75 ardio-metabolic, oncologic, and neurological/psychiatric diseases, and identify several drug-repurpos

76 ent, a key feature of several neurologic and psychiatric diseases, is mediated by unknown mechanisms.

77 However, the potential role of circRNAs in psychiatric diseases, particularly major depressive diso

78 nderstand the role of SEZ6 in neurologic and psychiatric diseases.

79 cognitive function, and in neurological and psychiatric diseases.

80 is thought to be a critical mediator of many psychiatric diseases.

81 eater overall risk of being diagnosed with a psychiatric disorder (HR 1.19, 95% CI 1.14-1.23, p < 0.0

82 Major depressive disorder is a common psychiatric disorder associated with marked suffering, m

83 have an influence on cognitive function and psychiatric disorder pathophysiology, via its hypothesis

84 ently impact on human cognitive function and psychiatric disorder pathophysiology.

85 l volumes, age-related cognitive decline and psychiatric disorder risk.

86 Depression is a seriously disabling psychiatric disorder with a significant burden of diseas

87 Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic mult

88 as well as in control individuals without a psychiatric disorder.

89 tivity disorder (ADHD) is a highly heritable psychiatric disorder.

90 f disorders rather than specific to a single psychiatric disorder.

91 Psychiatric-disorder risk genes tended to be expressed d

92 fate specification, which is disrupted by a psychiatric-disorder-associated genetic mutation in pati

93 ndophenotypes it is possible to both dissect psychiatric disorders ('splitting') and to combine multi

94 emotional processing tasks in patients with psychiatric disorders (including schizophrenia, bipolar

95 thophysiological characteristics among major psychiatric disorders (MPDs), such as schizophrenia (SZ)

96 insomnia (rg = 0.34-0.81) as well as several psychiatric disorders (rg = 0.26-0.79).

97 of neuroeconomic gameplay studies in Axis 1 psychiatric disorders and advocates the use of these gam

98 many novel genetic variants associated with psychiatric disorders and behavioral traits in human pop

99 ion (EDU) are phenotypically associated with psychiatric disorders and behaviours.

100 been implicated in the comorbidity of major psychiatric disorders and cardiovascular disease, potent

101 reby refining the epigenomic architecture of psychiatric disorders and enabling integrative analyses

102 onality problems, and elevated rates of both psychiatric disorders and externalizing syndromes.

103 We applied H-MAGMA to five psychiatric disorders and four neurodegenerative disorde

104 ize the genetic similarities among different psychiatric disorders and indicate that cross-disorder a

105 ere searched for terms relating to genetics, psychiatric disorders and machine learning, including ne

106 neuroinflammatory processes, as observed in psychiatric disorders and neurodegenerative diseases.

107 nt, which are largely described processes in psychiatric disorders and neurodegenerative diseases.

108 Polygenic scores for several other psychiatric disorders and psychological traits were also

109 ns for the comprehension of highly prevalent psychiatric disorders and symptoms.

110 Psychiatric disorders are associated with accelerated ag

111 We show that psychiatric disorders are predominantly associated with

112 idered genes associated with neurological or psychiatric disorders as candidate genes for PNES.

113 a cohort of individuals with mania and other psychiatric disorders as well as in control individuals

114 ic studies suggest a further link to several psychiatric disorders as well as Pontocerebellar Hypopla

115 hedelic compound for routine clinical use in psychiatric disorders at this time, but continued resear

116 lysis of brain structural abnormalities in 6 psychiatric disorders based on effect size estimates for

117 New treatment development for psychiatric disorders depends critically upon the develo

118 Notably, many of these psychiatric disorders first manifest in youth.

119 view machine learning methods for predicting psychiatric disorders from genetics alone and evaluate t

120 pplied mtCOJO to summary statistics for five psychiatric disorders from the Psychiatric Genomics Cons

121 years, risk gene discovery in other complex psychiatric disorders has been achieved by studying rare

122 (OSA) links to Alzheimer's disease and major psychiatric disorders has recently directed an intensifi

123 ized placebo-controlled trials of women with psychiatric disorders have generally reported similar or

124 t decade, genome-wide association studies of psychiatric disorders have identified numerous significa

125 ilience could protect against stress-induced psychiatric disorders in at-risk populations.

126 o accelerate gene finding for depression, or psychiatric disorders in general.

127 ted with monogenic forms of neurological and psychiatric disorders in individuals with PNES shows tha

128 le of PNNs in the adult brain and in certain psychiatric disorders in which alterations in PNNs and P

129 Anxiety disorders are the most prevalent psychiatric disorders in youth and are associated with p

130 nic stress contributes to the development of psychiatric disorders including anxiety and depression.

131 roglia are potential therapeutic targets for psychiatric disorders induced by MIA.

132 ptor trafficking, which has implications for psychiatric disorders involving dysregulated dopamine si

133 However, its application to psychiatric disorders is challenging because of methodol

134 es and differences in brain structures among psychiatric disorders is important for understanding the

135 use of LSD and ayahuasca in the treatment of psychiatric disorders is preliminary, although promising

136 etailed understanding of the neurobiology of psychiatric disorders is still lacking.

137 fficacy of psychedelics for the treatment of psychiatric disorders is warranted.

138 Although its role in psychiatric disorders is widely acknowledged, the unders

139 lar changes before signs of neurological and psychiatric disorders manifest.

140 y recognized that most categorically defined psychiatric disorders occur on a spectrum or continuum,

141 ial overlap with genes associated with other psychiatric disorders or brain development, enrichment i

142 rupted hedonic processing is associated with psychiatric disorders such as depression.

143 Aversive memories are at the heart of psychiatric disorders such as phobias and post-traumatic

144 rs such as anxiety and depression are common psychiatric disorders that frequently begin in youth and

145 es of research in nongenetic risk factors in psychiatric disorders that point to potential shared bio

146 uide the development of novel treatments for psychiatric disorders with attention deficits.

147 d pathophysiology of schizophrenia and other psychiatric disorders with developmental origins.

148 ajor depressive disorder (MDD) are heritable psychiatric disorders with partially overlapping genetic

149 Anxiety disorders are common, complex psychiatric disorders with twin heritabilities of 30-60%

150 reatment of Huntington's disease and several psychiatric disorders(1,2).

151 tional dopamine system is implicated in most psychiatric disorders, and genetic polymorphisms reducin

152 nd is linked to Alzheimer's disease (AD) and psychiatric disorders, but its molecular functions are n

153 UE overlap behaviourally with addiction and psychiatric disorders, collectively referred to as pheno

154 ns have documented the heritability of major psychiatric disorders, established their highly polygeni

155 y, degenerative brain disease, brain injury, psychiatric disorders, functional disorders and epilepsy

156 heir dysfunction has been implicated in many psychiatric disorders, including alcohol use disorder, y

157 ng of the brain-level molecular pathology of psychiatric disorders, including autism spectrum disorde

158 ce is a period of increased vulnerability to psychiatric disorders, including depression.

159 gical systems that are commonly disrupted in psychiatric disorders, including endocrine, metabolic, a

160 t are themselves genetically associated with psychiatric disorders, including synaptic transmission a

161 onal annotations known to be associated with psychiatric disorders, including those related to synapt

162 education were significantly associated with psychiatric disorders, largely driven by an association

163 diseases, particularly neurodegenerative and psychiatric disorders, making it possible to study mecha

164 Polygenic risk scores for psychiatric disorders, particularly depression and schiz

165 viduals, we conditioned the genetic risk for psychiatric disorders, personality traits, brain imaging

166 d the majority of them had evidence in other psychiatric disorders, providing a molecular underpinnin

167 ion may aid the treatment for stress-related psychiatric disorders, such as PTSD.

168 use have been shown to overlap strongly with psychiatric disorders, whereas aspects of alcohol consum

169 Adolescence is a peak time for the onset of psychiatric disorders, with anxiety disorders being the

170 Depression remains one of the most prevalent psychiatric disorders, with many patients not responding

171 ronmental risk factor for the development of psychiatric disorders, with the age of exposure potentia

172 the role of genes intolerant to mutations in psychiatric disorders, yet this association is more pron

173 f functional neuroanatomy and disruptions in psychiatric disorders.

174 ses may contribute to the pathophysiology of psychiatric disorders.

175 ge during childhood compared with most other psychiatric disorders.

176 ed for the study of environmental factors in psychiatric disorders.

177 identification of new therapies for numerous psychiatric disorders.

178 rain structural abnormalities across 6 major psychiatric disorders.

179 vances in angiogenesis-mediated treatment of psychiatric disorders.

180 followed (1973-2013) for incidence of broad psychiatric disorders.

181 ng thousands of DNA variants associated with psychiatric disorders.

182 y underlie part of the association with some psychiatric disorders.

183 ions of shared and unique pathophysiology of psychiatric disorders.

184 cortex (mPFC), have been found in different psychiatric disorders.

185 points to a central role of mitochondria in psychiatric disorders.

186 have both been implicated in the etiology of psychiatric disorders.

187 nsations relevant to symptoms in medical and psychiatric disorders.

188 nts may have therapeutic effects in specific psychiatric disorders.

189 way for efficacious clinical treatments for psychiatric disorders.

190 and cognitive deficits commonly observed in psychiatric disorders.

191 hancers to genetic risk for neurological and psychiatric disorders.

192 een eating nitrated dry cured meat and other psychiatric disorders.

193 mechanisms underpinning anxiety and related psychiatric disorders.

194 that is partially independent from comorbid psychiatric disorders.

195 proved to be a valuable tool to investigate psychiatric disorders.

196 in and dopamine are associated with multiple psychiatric disorders.

197 ot generalize to other MDD subtypes or other psychiatric disorders.

198 antly reduce the incidence of stress-related psychiatric disorders.

199 c variants robustly associated with risk for psychiatric disorders.

200 finement can be impacted by the emergence of psychiatric disorders.

201 ht chain to differentiate bvFTD from primary psychiatric disorders.

202 ic understanding of the sequelae for several psychiatric disorders.

203 ditions are understudied compared with other psychiatric disorders.

204 agmatic and explanatory biological models of psychiatric disorders.

205 the pathophysiology of cognitive deficits in psychiatric disorders.

206 ogical link, as well as their alterations in psychiatric disorders.

207 otentially increasing the risk of developing psychiatric disorders.

208 rrelations between PAU and substance use and psychiatric disorders.

209 another key feature of the genetic basis of psychiatric disorders: the important role and pervasive

210 hogenesis of not only neurological, but also psychiatric, disorders, such as anxiety disorder.

211 Diagnoses that are psychiatric (e.g. schizophrenia), acute rather than chro

212 the incidence of severe psychiatric events (psychiatric emergency department visit, psychiatric hosp

213 unities and recommendations in refugee child psychiatric epidemiology and mental health services rese

214 Defined broadly, psychiatric epigenomics seeks to understand the effects

215 n, psychiatrist) and the incidence of severe psychiatric events (psychiatric emergency department vis

216 h and examine the social, psychological, and psychiatric features of offspring from extended pedigree

217 Recent advances in psychiatric genetics have been made possible through lar

218 This approach, though underutilized in psychiatric genetics, has several useful features for th

219 ighlight findings of particular relevance to psychiatric genetics.

220 in the significant GWAS loci reported by the Psychiatric Genomic Consortium (PGC2).

221 an ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC) study of schizophr

222 yses, using ADHD meta-analytic data from the Psychiatric Genomics Consortium for discovery (N=19,210)

223 tions, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association

224 ponent 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorde

225 RICOPILI was created as the Psychiatric Genomics Consortium pipeline for GWAS and ad

226 tics for five psychiatric disorders from the Psychiatric Genomics Consortium-schizophrenia (SCZ), bip

227 We also examined two other groups: non-psychiatric ("healthy") controls (HC) and individuals wi

228 Models adjusting for temporal trends and for psychiatric history in the parental generation did not a

229 sychosocial functioning, pharmacotherapy and psychiatric history were noted.

230 (1-7) vs 2 (1-5) days; P = 0.021], and more psychiatric hospital admissions (1.3% vs 0.1%; P<0.001).

231 nts (psychiatric emergency department visit, psychiatric hospitalization, suicide) were compared betw

232 s days from first psychotic symptom to first psychiatric hospitalization.

233 edictive of high-stress states and of future psychiatric hospitalizations related to stress, more so

234 who were diagnosed with depression in Danish psychiatric hospitals from 1994 to 2016 was examined.

235 of distinct diagnoses to a representation of psychiatric illness that crosses diagnostic boundaries.

236 Depression is a common psychiatric illness that often begins in youth, and is s

237 a list of inflammatory mediators linked with psychiatric illness, but in preclinical studies have bee

238 o a lack of diagnostic tools and confounding psychiatric illness.

239 flow across the cortex and are implicated in psychiatric illness.

240 use disorder and increased susceptibility to psychiatric illness.

241 CNS disorders, and in particular psychiatric illnesses, lack definitive disease-altering

242 ed to normal function and to a wide range of psychiatric illnesses.

243 (DISC1) is a susceptibility gene for several psychiatric illnesses.

244 life are associated with the development of psychiatric illnesses.

245 have emphasized the overlap of PSs and other psychiatric illnesses.

246 ortion of the CB, plays an important role in psychiatric illnesses; however, its role during early de

247 hould be on the same brain area for the same psychiatric indication." The authors have now compiled t

248 Participants were recruited from the acute psychiatric inpatient ward at Hospital Rey Juan Carlos (

249 It questions the nature of psychiatric manifestations (semiology) in light of recen

250 imarily in males, with notable neurological, psychiatric, medical, and lifespan associations.

251 conducted, in addition to abstracts of major psychiatric meeting held since 2010, of randomized, plac

252 enation patients plays a significant role in psychiatric morbidity.

253 place and time in the 19th century than any psychiatric nosologic system.

254 ent need for new biomarkers of adversity and psychiatric outcomes.

255 tigraphy data were collected from a group of psychiatric outpatients before and during imposition of

256 erences between healthy control subjects and psychiatric patients from 11 mega- and meta-analyses fro

257 nese phonetic fluency task can differentiate psychiatric patients from healthy controls (HC).

258 Psychiatric patients may be at higher risk for memory dy

259 al within-subject studies in male and female psychiatric patients to discover blood gene expression b

260 retention and improving quality of care for psychiatric patients.

261 ong positive genetic correlations with other psychiatric phenotypes (e.g., r(g) = 0.36 with bipolar d

262 lts defined a distinctive group of circadian psychiatric phenotypes that we propose to designate as "

263 rlap heavily in their shared risk with other psychiatric phenotypes, the relationship with metabolic

264 anism data in support of clinically relevant psychiatric phenotypes.

265 he opportunities they hold for dissection of psychiatric polygenicity.

266 ut genetic factors influencing cognitive and psychiatric presentations are unknown.

267 Low sense of coherence, pain, and previous psychiatric problems were associated with increased leve

268 Longitudinal data analysis showed that the psychiatric problems, especially the depressive problems

269 , subtle facial dysmorphisms, behavioral and psychiatric problems.

270 Psychiatric PRSs are moderately associated with psychiat

271 mptoms of Schizophrenia (SANS) and the Brief Psychiatric Rating Scale (BPRS).

272 graphic and clinical factors associated with psychiatric recording accuracy, with multiple imputation

273 The introduction of polysomnography into psychiatric research confirmed a disturbance of sleep co

274 ndbeck Foundation Initiative for Integrative Psychiatric Research for replication (N=37,076).

275 These results may be relevant for psychiatric research, given the alterations in PNNs, PV+

276 r biomarker-guided approaches in preclinical psychiatric research.

277 CACNA1C is a psychiatric risk gene that encodes the voltage-gated cal

278 esses will inevitably exceed the capacity of psychiatric services in the United States and worldwide.

279 dence is emerging that it can also influence psychiatric symptomatology, including major depression a

280 ld, continues to be without neurological and psychiatric symptomatology.

281 d withdrawal-effects amplified in those with psychiatric symptoms and drug use coping motives.

282 arning task together with measures of common psychiatric symptoms in 400 subjects.

283 as working memory, is crucial to addressing psychiatric symptoms in brain disorders.

284 ted with increased risk of the corresponding psychiatric symptoms in HD, suggesting a common genetic

285 and apathy appears to be distinct from other psychiatric symptoms in HD.

286 support aversive learning relate to specific psychiatric symptoms remains undetermined.

287 sive learning processes in the expression of psychiatric symptoms that transcend diagnostic boundarie

288 scores (PRS) and a broad range of childhood psychiatric symptoms, and to quantify the extent to whic

289 learning difficulties and seizures and later psychiatric symptoms, cerebellar ataxia, extrapyramidal

290 selective serotonin reuptake inhibitors for psychiatric symptoms, cholinesterase inhibitors for cogn

291 abrupt onset of seizures and/or movement and psychiatric symptoms.

292 r effectiveness, side effects, and impact on psychiatric symptoms.

293 is a heterogeneous and etiologically complex psychiatric syndrome, not a unitary disease entity, enco

294 Similar to many other psychiatric syndromes, advances in genotyping technology

295 a is explored by a review and analysis of 28 psychiatric texts in English, French, and German publish

296 138 phenotypes, including substance use and psychiatric traits.

297 e of genetic risks onto behaviors related to psychiatric vulnerability (e.g., marijuana, alcohol, and

298 ated with all 3 outcomes [eg, 8.0% with poor psychiatric well-being reported MVCs vs 2.6% without, od

299 Similarly, poor psychiatric well-being was associated with all 3 outcome

300 with frequent duty hour violations and poor psychiatric well-being.