spectrum disorders
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2022 ◽  
Vol 122 ◽  
pp. 104168
Author(s):  
Yi Huey Lim ◽  
Rochelle E. Watkins ◽  
Heather Jones ◽  
Natalie R. Kippin ◽  
Amy Finlay-Jones

2022 ◽  
Author(s):  
Nadezhda V. Shuvalova ◽  
Svetlana V. Lezhenina ◽  
Tatiana M. Kozhanova ◽  
Mikhail Yu. Sapozhnikov ◽  
Evgenia V. Sapozhnikova ◽  
...  

2022 ◽  
Author(s):  
Svetlana V. Lezhenina ◽  
Nadezhda V. Shuvalova ◽  
Tatiana M. Kozhanova ◽  
Oleg N. Viktorov ◽  
Sergej V. Smelov ◽  
...  

2022 ◽  
Author(s):  
Svetlana V. Lezhenina ◽  
Nadezhda V. Shuvalova ◽  
Antonina A. Sapozhnikova ◽  
Svetlana Yu. Gladysheva ◽  
Nadezhda B. Efeikina ◽  
...  

2022 ◽  
Vol 12 ◽  
Author(s):  
Andreas Rosén Rasmussen ◽  
Andrea Raballo ◽  
Antonio Preti ◽  
Ditte Sæbye ◽  
Josef Parnas

BackgroundAnomalies of imagination encompass disturbances of the basic experiential structure of fantasies and imagery that can be explored in a semi-structured way with the Examination of Anomalous Fantasy and Imagination (EAFI). We aimed (1) to examine the distribution of anomalies of imagination among different diagnostic groups and a group of healthy controls, and (2) to examine their relation with disorders of basic self, perceptual disturbances and canonical state psychopathology of the schizophrenia-spectrum (positive, negative and general symptoms).MethodsThe 81 participants included patients with schizophrenia or other non-affective psychosis (N = 32), schizotypal personality disorder (N = 15) or other mental illness (N = 16) and healthy controls (N = 18). The assessment encompassed EAFI, Examination of Anomalous Self-Experience (EASE), parts of Bonn Scale for the Assessment of Basic Symptoms (BSABS) and Positive and Negative Syndrome Scale (PANSS). For network analysis, the associations of EAFI with the other psychopathological variables were tested by Pearson's correlation coefficient and graphically represented using multidimensional clustering. Comparisons between correlations in the network were tested with Steiger's test.ResultsAnomalies of imagination aggregated significantly in schizophrenia-spectrum disorders compared to other mental illness and healthy controls with no difference between schizophrenia and schizotypal disorder. In the network analysis, anomalies of imagination were closely inter-connected with self-disorders. Although, the anomalies of imagination correlated moderately with perceptual disturbance and positive, negative and general state symptomatology, these dimensions aggregated separately and relatively distant in the network.ConclusionsThe results support that anomalies of imagination are highly characteristic of schizophrenia-spectrum disorders and closely related to self-disorders.


2022 ◽  
Vol 23 (2) ◽  
pp. 967
Author(s):  
Ekaterina A. Trifonova ◽  
Zakhar S. Mustafin ◽  
Sergey A. Lashin ◽  
Alex V. Kochetov

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by the early onset of communication and behavioral problems. ASD is highly heritable; however, environmental factors also play a considerable role in this disorder. A significant part of both syndromic and idiopathic autism cases could be attributed to disorders caused by mammalian target of rapamycin (mTOR)-dependent translation deregulation. This narrative review analyzes both bioinformatic and experimental evidence that connects mTOR signaling to the maternal autoantibody-related (MAR) autism spectrum and autoimmune neuropsychiatric disorders simultaneously. In addition, we reconstruct a network presenting the interactions between the mTOR signaling and eight MAR ASD genes coding for ASD-specific maternal autoantibody target proteins. The research discussed in this review demonstrates novel perspectives and validates the need for a subtyping of ASD on the grounds of pathogenic mechanisms. The utter necessity of designing ELISA-based test panels to identify all antibodies related to autism-like behavior is also considered.


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