The autistic mirror in the real: Autism in Lacan’s mirror stage

2021 ◽  
pp. 095935432110345
Author(s):  
Leon S. Brenner
Keyword(s):  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Integrative Model ◽  
Mirror Stage ◽  
Autistic Spectrum ◽  
The Real ◽  
English Speaking ◽  
Diagnostic Framework ◽  
English Speaking World

The mirror stage is one of Jacques Lacan’s most well-received metapsychological models in the English-speaking world. In its many renditions Lacan elucidates the different forms of identification that lead to the construction of the Freudian ego. This article utilizes Lacan’s mirror stage to provide a novel perspective on autistic embodiment. It develops an integrative model that accounts for the progression of four distinct forms of autistic identification in the mirror stage; these forms provide the basis for the development of four different clinical trajectories in the treatment of autism. This model is posed as an alternative to the clinical and diagnostic framework associated with the autistic spectrum disorder.

scholarly journals Why the process is so Important for a DIRFloortime specialist

2019 ◽  
Vol 17 (2) ◽  
pp. 97-105
Author(s):  
I.V. Naidina
Keyword(s):  
Autistic Spectrum Disorder ◽  
Real Life ◽  
Individual Characteristics ◽  
Interaction Process ◽  
Spectrum Disorder ◽  
Learning Approach ◽  
Autistic Spectrum ◽  
The Real ◽  
Real Life Setting ◽  
Spectrum Disorders

DIRFloortime® is a learning approach tailored to individual characteristics of the adult and child and based on establishing emotionally charged relationships, which is successfully used to help children with autistic spectrum disorders. An expert trained in DIRFloortime® offers her thoughts on the importance of the interaction process between children and adults during sessions and in the real-life setting. The paper reviews following the child’s lead and challenging — the main strategies of the DIRFloortime approach. It describes the concept of the circle of communication and characteristics of the interaction process, such as tempo, rhythm, duration, intensity, and content. The process of interaction with children affected by autistic spectrum disorder who have difficulties in communicating should be arranged so that they can be engaged and remain in this process with pleasure and joy as long as possible. The child must feel successful and valuable in the eyes of adults who help him/her grow up. Then the child will be able to cope with his fears, shyness, perceptual and motor challenges and to grow in a most harmonious way. This is why DIRFloortime creators and therapists give particular importance to the process of interaction.

PERMODELAN PREDIKTIF AUTISTIC SPECTRUM DISORDER DENGAN ALGORITMA C.45

2018 ◽  
Vol 15 (2) ◽  
pp. 99
Author(s):  
Oktafian Farhan ◽  
Agus Subekti
Keyword(s):  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Data Set ◽  
Autistic Spectrum

Autisme merupakan disabilitas perkembangan yang dialami sepanjang hidup penderita Autistic Spectrum Disorder (ASD). Semakin cepat ditangani, semakin besar kemungkinan anak akan kembali normal. Untuk alasan ini, diperlukan metode baru yang dapat membantu orang tua dengan cepat mengenali gejala autisme pada anak-anak mereka. Dalam studi sebelumnya yang dilakukan oleh Fadi Fayez Tabhtah, suatu data set dihasilkan untuk mendeteksi apakah seorang anak memiliki autisme atau tidak. Tetapi penelitiannya hanya menghasilkan data set, ia tidak memeriksa lebih lanjut dimana algoritma cocok untuk data set yang telah dihasilkan. Atribut data set ternyata memiliki nilai yang salah, yang mengundang pertanyaan tentang keakurasian data. Dalam penelitian ini peneliti menggunakan metode CRISP-DM dan menguji keakuratan data set penelitian sebelumnya menggunakan algoritma C.45. Selanjutnya, aplikasi WEKA menggunakan pemilihan fitur dan pengaruh dari nilai yang salah untuk setiap atribut dan menemukan atribut yang paling signifikan. Atribut-atribut ini kemudian diuji dengan algoritma C.45 sehingga model prediksi dari data set diperoleh. Atribut A6 dari perhitungan pohon keputusan tidak muncul sama sekali sebagai cabang. Sebuah model baru diperoleh di mana atribut A6 dihilangkan, sehingga ketika diukur oleh algoritma C.45, nilai akurasi yang lebih baik diperoleh. Hasil model baru kemudian diuji pada data kuesioner baru, yang menghasilkan prediksi yang tepat.

Alzheimer's Disease and Autistic Spectrum Disorder: Is there any Association?

2016 ◽  
Vol 15 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Sarah A. Khan ◽  
Shahida A. Khan ◽  
A.R. Narendra ◽  
Gohar Mushtaq ◽  
Solafa A. Zahran ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum

scholarly journals Quality of Life in Caregivers of Children and Adolescents with Autistic Spectrum Disorder: Development and Validation of the Questionnaire

2021 ◽  
Vol 11 (7) ◽  
pp. 924
Author(s):  
Claudia B. Pratesi ◽  
Alessandra Baeza Garcia ◽  
Riccardo Pratesi ◽  
Lenora Gandolfi ◽  
Mariana Hecht ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Health ◽  
Children And Adolescents ◽  
Internal Consistency ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum ◽  
The Social ◽  
Health Domains

Studies have shown that children and adolescents with autism and their relatives present a high level of stress and more family problems, impacting parents’ and caregivers’ quality of life (QoL). Despite studies on this subject, there is no specific questionnaire to evaluate QoL in parents or caregivers of children and adolescents with an autistic spectrum disorder (ASD) in Brazil. Therefore, this study’s primary purpose was to develop and validate a specific questionnaire to evaluate QoL in these individuals. The study was performed using the following steps: development of the ASD Parent/caregiver QoL questionnaire (autistic spectrum disorder parent/caregiver quality of life—ASDPC-QoL), subjective evaluation, validation of the questionnaire by the Delphi method, assessment of internal consistency, responsiveness, and reliability of the ASLPC-QoL, and administration of the questionnaire to 881 Brazilian ASD caregivers or parents. ASDPC-QoL comprises 28 questions divided into four domains (social, concerns, physical and mental health) with good psychometric properties (reproducibility, reliability, internal consistency, responsiveness, and validity). Our data showed that worries and physical health were the domains with the lowest scores in ASDPCA-QoL. ASDPCA-QoL did not differ among gender and age of child considering the total and all domains. Older participants (≥41 y/o) presented the best scores for social and worries domains but did not differ in other domains and the total. Parents or caregivers of ASD children diagnosed for more than three years have better mental and physical health domains than those recently diagnosed (up to 1 year) but did not differ in the total and other domains. Individuals with a partner and with the highest educational level present the best score for the social domain. Employed individuals showed better scores than unemployed ones for all domains and the total, except for worries, which did not differ. It also occurred comparing the individuals that do not use antidepressants and the ones that use them. Assessing and better understanding the QoL of caregivers is highly relevant. By understanding the social, worries, physical, and emotional health domains of caregivers, it is possible to track harmful aspects, prevent and treat pathologies, in addition to assisting in the implementation of effective public policies.

Clinical and anatomical heterogeneity in autistic spectrum disorder: a structural MRI study

2009 ◽  
Vol 40 (7) ◽  
pp. 1171-1181 ◽  
Author(s):  
F. Toal ◽  
E. M. Daly ◽  
L. Page ◽  
Q. Deeley ◽  
B. Hallahan ◽  
...  
Keyword(s):  
Asperger Syndrome ◽  
Autistic Spectrum Disorder ◽  
Grey Matter ◽  
Clinical Phenotype ◽  
Brain Regions ◽  
Spectrum Disorder ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Autistic Spectrum ◽  
Adults With Asd

BackgroundAutistic spectrum disorder (ASD) is characterized by stereotyped/obsessional behaviours and social and communicative deficits. However, there is significant variability in the clinical phenotype; for example, people with autism exhibit language delay whereas those with Asperger syndrome do not. It remains unclear whether localized differences in brain anatomy are associated with variation in the clinical phenotype.MethodWe used voxel-based morphometry (VBM) to investigate brain anatomy in adults with ASD. We included 65 adults diagnosed with ASD (39 with Asperger syndrome and 26 with autism) and 33 controls who did not differ significantly in age or gender.ResultsVBM revealed that subjects with ASD had a significant reduction in grey-matter volume of medial temporal, fusiform and cerebellar regions, and in white matter of the brainstem and cerebellar regions. Furthermore, within the subjects with ASD, brain anatomy varied with clinical phenotype. Those with autism demonstrated an increase in grey matter in frontal and temporal lobe regions that was not present in those with Asperger syndrome.ConclusionsAdults with ASD have significant differences from controls in the anatomy of brain regions implicated in behaviours characterizing the disorder, and this differs according to clinical subtype.

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