scholarly journals A Case, Who Applied with Autistic Symptoms, Diagnosed as Limbic Encephalitis

2021 ◽  
Author(s):  
Gonca Özyurt ◽  
Yusuf Öztürk ◽  
Hüseyin Burak Baykara
Keyword(s):  
Limbic Encephalitis ◽  
Motor Behavior ◽  
Psychiatric Patients ◽  
Neuropsychiatric Symptoms ◽  
Clinical Manifestations ◽  
Autism Spectrum ◽  
Ivig Treatment ◽  
Behavioral Disturbances ◽  
Temporal Lobe Seizures ◽  
Autistic Symptoms

Childhood disintegrative disorder (CDD) is a neuropsychiatric syndrome characterized as autism spectrum disorder in DSM 5 which is described by regression in the areas of communication, social interaction skills and motor behavior that develop normally in the first years of life. Autoimmune limbic encephalitis occurs with clinical manifestations of limbic system involvement such as subacute memory malformation, various neuropsychiatric symptoms, behavioral disturbances, and temporal lobe seizures. In this paper; an 7-year-old girl who applied with CDD findings, and diagnosed with limbic encephalitis after physical examination with symptoms persisted after IVIG treatment, was reported. Although autistic symptoms due to limbic encephalitis may be rarely seen in the clinic, autistic symptoms that are particularly acute or subacute are important neurological diagnoses that should be kept in mind in the differential diagnosis of psychiatric patients.

scholarly journals Children With Autism Spectrum Disorder and Neurodevelopmental Regression Present a Severe Pattern After a Follow-Up at 24 Months

2021 ◽  
Vol 12 ◽  
Author(s):  
Pilar Martin-Borreguero ◽  
Antonio Rafael Gómez-Fernández ◽  
Maria Jose De La Torre-Aguilar ◽  
Mercedes Gil-Campos ◽  
Katherine Flores-Rojas ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Pervasive Developmental Disorders ◽  
Rating Scale ◽  
Clinical Manifestations ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Autistic Symptoms ◽  
Battelle Developmental Inventory

This study examined the presence of neurodevelopmental regression and its effects on the clinical manifestations and the severity of autism spectrum disorder (ASD) in a group of children with autism compared with those without neurodevelopmental regression at the time of initial classification and subsequently.Methods and Subjects: ASD patients were classified into two subgroups, neurodevelopmental regressive (AMR) and non-regressive (ANMR), using a questionnaire based on the Autism Diagnostic Interview-Revised test. The severity of ASD and neurodevelopment were assessed with the Childhood Autism Rating Scale Test-2, Strengths and Difficulties Questionnaire, and Pervasive Developmental Disorders Behavior Inventory Parent Ratings (PDDBI) and with the Battelle Developmental Inventory tests at the beginning of the study and after 24 months of follow-up. Fifty-two patients aged 2–6 years with ASD were included. Nineteen were classified with AMR, and 33 were classified with ANMR.Results: The AMR subgroup presented greater severity of autistic symptoms and higher autism scores. Additionally, they showed lower overall neurodevelopment. The AMR subgroup at 24 months had poorer scores on the Battelle Developmental Inventory test in the following areas: Total personal/social (p < 0.03), Total Motor (p < 0.04), Expressive (p < 0.01), and Battelle Total (p < 0.04). On the PDDBI test, the AMR subgroup had scores indicating significantly more severe ASD symptoms in the variables: ritual score (p < 0.038), social approach behaviors (p < 0.048), expressive language (p < 0.002), and autism score (p < 0.003).Conclusions: ASD patients exhibited a set of different neurological phenotypes. The AMR and ANMR subgroups presented different clinical manifestations and prognoses in terms of the severity of autistic symptoms and neurodevelopment.

scholarly journals Imbalance in the Gut Microbiota of Children With Autism Spectrum Disorders

2021 ◽  
Vol 11 ◽  
Author(s):  
Hongfang Ding ◽  
Xinhao Yi ◽  
Xiaohua Zhang ◽  
Hui Wang ◽  
Hui Liu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
High Throughput Sequencing ◽  
Clinical Manifestations ◽  
Autism Spectrum ◽  
Rrna Gene ◽  
Healthy Children ◽  
Healthy Controls ◽  
Children With Asd ◽  
Gi Symptoms ◽  
Autistic Symptoms

BackgroundAutism spectrum disorder (ASD) are complex behavioral changes manifesting early in childhood, which impacts how an individual perceives and socializes with others. The study aims to assess the disparities in gut microbiota (GM) amongst healthy controls and children with ASD.MethodsThe study was performed on 25 children with ASD and 20 healthy children. Autistic symptoms were diagnosed and assessed with the Diagnostic and Statistical Manual for Mental Disorders and the Autism Treatment Evaluation Checklist (ATEC). Gastrointestinal (GI) symptoms were assessed with a GI Severity Index (GSI) questionnaire. The fecal bacteria composition was investigated by the high−throughput sequencing of the V3–V4 region of the 16S rRNA gene. The alpha diversity was estimated using the Shannon, Chao, and ACE indexes. The unweighted UniFrac analysis and the PCA plots were used to represent the beta diversity. LDA and LEfSe were used to assess the effect sizes of each abundant differential taxon.ResultsChildren with high GSI scores had much higher ATEC Total scores than those with lower GSI-scores. GI symptoms were strongly associated with symptoms of ASD. There was no difference in Chao, ACE, and Shannon indexes between ASD patients and healthy controls. Both groups showed a significant microbiota structure clustering in the plotted PCAs and significant differences in its composition at the family, order, genus, and phyla levels. There were also noteworthy overall relative differences in Actinobacteria and Firmicutes between both groups.ConclusionsThis study shows the relationship between the clinical manifestations of Autistic symptoms and GI symptoms. ASD patients have dysbiosis of gut microbiota, which may be related to the onset of ASD. These findings may be beneficial for developing ASD symptoms by changing gut microbiota.

scholarly journals Platelet Depletion is Effective in Ameliorating Anxiety-Like Behavior and Reducing the Pro-Inflammatory Environment in the Hippocampus in Murine Experimental Autoimmune Encephalomyelitis

2019 ◽  
Vol 8 (2) ◽  
pp. 162 ◽  
Author(s):  
Pece Kocovski ◽  
Xiangrui Jiang ◽  
Claretta D’Souza ◽  
Zhenjiang Li ◽  
Phuc Dang ◽  
...  
Keyword(s):  
Experimental Autoimmune Encephalomyelitis ◽  
Neuropsychiatric Symptoms ◽  
Critical Role ◽  
Clinical Manifestations ◽  
Lymphocytic Infiltration ◽  
Disease Stage ◽  
Autoimmune Encephalomyelitis ◽  
Significant Difference ◽  
Platelet Depletion ◽  
Experimental Autoimmune

The neuropsychiatric symptoms of multiple sclerosis (MS), such as anxiety and depression, can result from disease activity itself as well as psychological reaction to an unfavorable diagnosis. Accordingly, the literature reports evidence of increased anxiety-like behavior in experimental autoimmune encephalomyelitis (EAE), an accepted MS model. Due to the recently described critical role of platelets in inflammation and autoimmune disease, we examined the relationship between platelets, inflammation, and anxiety-like behavior in EAE. In the elevated plus maze, EAE-induced C57BL/6J mice showed decreased time spent in the open arms relative to vehicle-only controls, demonstrating an increase in anxiety-like behavior. This effect occurred in the presence of platelet–neuron association, but absence of lymphocytic infiltration, in the hippocampal parenchyma. Platelet depletion at the pre-clinical disease stage, using antibody-mediated lysis prevented the EAE-induced increase in anxiety-like behavior, while no significant difference in distance moved was recorded. Furthermore, platelet depletion was also associated with reduction of the pro-inflammatory environment to control levels in the hippocampus and prevention of EAE disease symptomology. These studies demonstrate the high efficacy of a platelet-targeting approach in preventing anxiety-like symptoms and clinical manifestations of EAE and have implications for the treatment of neuropsychiatric symptoms in MS.

scholarly journals Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder

2020 ◽  
Vol 20 (S11) ◽  
Author(s):  
Jacqueline Peng ◽  
Mengge Zhao ◽  
James Havrilla ◽  
Cong Liu ◽  
Chunhua Weng ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Clinical Manifestations ◽  
Predictive Performance ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Research Articles

Abstract Background Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and MetaMap are among the most widely used tools to extract biomedical concept entities. However, their performance in extracting disease-specific terminology from literature has not been compared extensively, especially for complex neuropsychiatric disorders with a diverse set of phenotypic and clinical manifestations. Methods We comparatively evaluated these NLP tools using autism spectrum disorder (ASD) as a case study. We collected 827 ASD-related terms based on previous literature as the benchmark list for performance evaluation. Then, we applied CLAMP, cTAKES, and MetaMap on 544 full-text articles and 20,408 abstracts from PubMed to extract ASD-related terms. We evaluated the predictive performance using precision, recall, and F1 score. Results We found that CLAMP has the best performance in terms of F1 score followed by cTAKES and then MetaMap. Our results show that CLAMP has much higher precision than cTAKES and MetaMap, while cTAKES and MetaMap have higher recall than CLAMP. Conclusion The analysis protocols used in this study can be applied to other neuropsychiatric or neurodevelopmental disorders that lack well-defined terminology sets to describe their phenotypic presentations.

scholarly journals Anosognosia in People with Cognitive Impairment: Association with Cognitive Deficits and Behavioral Disturbances

2015 ◽  
Vol 5 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Antonella De Carolis ◽  
Virginia Cipollini ◽  
Valentina Corigliano ◽  
Anna Comparelli ◽  
Micaela Sepe-Monti ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Deficits ◽  
Rating Scale ◽  
Motor Behavior ◽  
Psychiatric Symptoms ◽  
Early Stage ◽  
Functional Anatomy ◽  
Night Time ◽  
Behavioral Disturbances ◽  
The Relationship

Aims: To investigate, in a group of subjects at an early stage of cognitive impairment, the relationship between anosognosia and both cognitive and behavioral symptoms by exploring the various domains of insight. Methods: One hundred and eight subjects affected by cognitive impairment were consecutively enrolled. The level of awareness was evaluated by means of the Clinical Insight Rating Scale (CIRS). Psychiatric symptoms were evaluated using the Italian version of the Neuropsychiatric Inventory (NPI), whereas memory (memory index, MI) and executive (executive index, EI) functions were explored using a battery of neuropsychological tests and qualified by means of a single composite cognitive index score for each function. Results: A significant positive correlation between the total NPI score and global anosognosia score was found. Furthermore, both the MI and EI scores were lower in subjects with anosognosia than in those without anosognosia (p < 0.001 and p < 0.007, respectively). When the single domains of the CIRS were considered, anosognosia of reason of visit correlated with the EI score (r = -0.327, p = 0.01) and night-time behavioral disturbances (r = 0.225; p = 0.021); anosognosia of cognitive deficit correlated with depression (r = -0.193; p = 0.049) and the MI score (r = -0.201; p = 0.040); anosognosia of functional deficit correlated with the MI score (r = -0.257; p = 0.008), delusions (r = 0.232; p = 0.015) and aberrant motor behavior (r = 0.289; p = 0.003); anosognosia of disease progression correlated with the MI score (r = -0.236; p = 0.015), agitation (r = 0.247; p = 0.011), aberrant motor behavior (r = 0.351; p = 0.001) and night-time behavioral disturbances (r = 0.216; p = 0.027). Conclusions: Our study suggests that, in the early stage of cognitive impairment, anosognosia is associated with both cognitive deficits and behavioral disorders according to the specific functional anatomy of the symptoms.

Dissociation In Non-clinical And Clinical Sample Of Czech Adolescents. Reliability And Validity Of The Czech Version Of The Adolescent Dissociative Experiences Scale

2010 ◽  
Vol 25 (7) ◽  
pp. 390-395 ◽  
Author(s):  
J. Soukup ◽  
H. Papežová ◽  
A.A. Kuběna ◽  
V. Mikolajová
Keyword(s):  
Clinical Sample ◽  
Psychiatric Patients ◽  
Reliability And Validity ◽  
Traumatic Experiences ◽  
Adhd Group ◽  
Behavioral Disturbances ◽  
Dissociative Experiences Scale ◽  
Language Version ◽  
Somatoform Dissociation ◽  
Dissociative Experiences

AbstractObjectiveThe purpose of this study was to examine psychometric properties of the Czech language version of the Adolescent Dissociative Experiences Scale (A-DES) [2].Method653 non-clinical participants and 162 adolescent psychiatric inpatients completed Czech versions of the A-DES and the Somatoform Dissociation Questionnaire (SDQ-20), and provided further information (data regarding demographic variables, diagnoses, further psychopathology).ResultsThe Czech A-DES has very good internal consistency, test-retest reliability and a good validity, though its predictive power is limited. The ADES scores significantly correlate with the measure of somatoform dissociation, a presence of clinician-observed dissociative symptoms, reported traumatic experiences, self injurious behavior, and polysymptomatic diagnostic picture. A-DES scores were significantly higher in ADHD group, but not in a group with a diagnosis of a dissociative disorder.ConclusionThe authors stress that all adolescent psychiatric patients who show more complex behavioral disturbances, have histories of trauma, show self-injurious behaviors or have ADHD diagnosis should be screened for dissociation.

Altered Chemical Metabolites in the Amygdala-Hippocampus Region Contribute to Autistic Symptoms of Autism Spectrum Disorders

2007 ◽  
Vol 62 (9) ◽  
pp. 1030-1037 ◽  
Author(s):  
Taro Endo ◽  
Toshiki Shioiri ◽  
Hideaki Kitamura ◽  
Teruo Kimura ◽  
Sumio Endo ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Autism Spectrum ◽  
Autistic Symptoms ◽  
Spectrum Disorders

scholarly journals Dissecting autism and schizophrenia through neuroimaging genomics

Brain ◽  
2021 ◽  
Author(s):  
Clara A Moreau ◽  
Armin Raznahan ◽  
Pierre Bellec ◽  
Mallar Chakravarty ◽  
Paul M Thompson ◽  
...  
Keyword(s):  
High Risk ◽  
Psychiatric Symptoms ◽  
Clinical Manifestations ◽  
Autism Spectrum ◽  
Case Control ◽  
Effect Sizes ◽  
Case Control Studies ◽  
Top Down ◽  
Bottom Up ◽  
Genomic Variants

Abstract Neuroimaging genomic studies of autism spectrum disorder and schizophrenia have mainly adopted a ‘top-down’ approach, starting with the behavioural diagnosis, and moving down to intermediate brain phenotypes and underlying genetic factors. Advances in imaging and genomics have been successfully applied to increasingly large case-control studies. As opposed to diagnostic-first approaches, the bottom-up strategy starts at the level of molecular factors enabling the study of mechanisms related to biological risk, irrespective of diagnoses or clinical manifestations. The latter strategy has emerged from questions raised by top-down studies: Why are mutations and brain phenotypes over-represented in individuals with a psychiatric diagnosis? Are they related to core symptoms of the disease or to comorbidities? Why are mutations and brain phenotypes associated with several psychiatric diagnoses? Do they impact a single dimension contributing to all diagnoses? In the review, we aimed at summarizing imaging genomic findings in autism and schizophrenia as well as neuropsychiatric variants associated with these conditions. Top-down studies of autism and schizophrenia identified patterns of neuroimaging alterations with small effect-sizes and an extreme polygenic architecture. Genomic variants and neuroimaging patterns are shared across diagnostic categories suggesting pleiotropic mechanisms at the molecular and brain network levels. Although the field is gaining traction; characterizing increasingly reproducible results, it is unlikely that top-down approaches alone will be able to disentangle mechanisms involved in autism or schizophrenia. In stark contrast with top-down approaches, bottom-up studies showed that the effect-sizes of high-risk neuropsychiatric mutations are equally large for neuroimaging and behavioural traits. Low specificity has been perplexing with studies showing that broad classes of genomic variants affect a similar range of behavioral and cognitive dimensions, which may be consistent with the highly polygenic architecture of psychiatric conditions. The surprisingly discordant effect sizes observed between genetic and diagnostic first approaches underscore the necessity to decompose the heterogeneity hindering case-control studies in idiopathic conditions. We propose a systematic investigation across a broad spectrum of neuropsychiatric variants to identify putative latent dimensions underlying idiopathic conditions. Gene expression data on temporal, spatial and cell type organization in the brain have also considerable potential for parsing the mechanisms contributing to these dimensions phenotypes. While large neuroimaging genomic datasets are now available in unselected populations, there is an urgent need for data on individuals with a range of psychiatric symptoms and high-risk genomic variants. Such efforts together with more standardized methods will improve mechanistically informed predictive modeling for diagnosis and clinical outcomes.

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