Inicio  /  Applied Sciences  /  Vol: 13 Par: 12 (2023)  /  Artículo
ARTÍCULO
TITULO

Identifying Neurobiological Markers in Obsessive?Compulsive Disorder: A Study Protocol for a Cross-Sectional Study in Subgroups of Differing Phenotype

Pasquale Paribello    
Bernardo Carpiniello    
Roberto Murgia    
Antonio Andrea Porcheddu    
Sabrina El-Kacemi    
Marco Pinna    
Martina Contu    
Giulia Costa    
Rossella Barbarossa    
Egea Sanna    
Sara Carucci    
Alessandro Zuddas    
Paola Fadda    
Simona Dedoni    
Carlotta Siddi    
Patrizia Congiu    
Michela Figorilli    
Michela Fanzecco    
Monica Puligheddu    
Antonella Gagliano    
Federica Pinna    
Maria Scherma and Mirko Manchiaadd Show full author list remove Hide full author list    

Resumen

Obsessive?compulsive disorder (OCD) represents a frequent and highly disabling mental disorder. Past attempts to characterize different disease subgroups focused on the time of onset (late vs. early onset), presence of insight (poor insight), and post-infectious forms (pediatric acute-onset neuropsychiatric syndrome, PANS). Each subgroup may be associated with a differing impact on cognition, functioning, sleep quality, and treatment response profile. Certain lines of evidence suggest brain-derived neurotrophic factor (BDNF) levels may differ between individuals living with OCD as compared with controls, but there is a lack of evidence on the variation of BDNF levels in OCD subgroups. Lastly, the potential of assessing inflammatory states, electroencephalogram, and polysomnography to characterize these subtypes has been hardly explored. Estimates of drug-resistance rates indicate that 20% and up to 65% of affected adults and up to 35% of the pediatric population may not benefit from pharmacological treatments. At least part of the variability in treatment response could depend on the underlying biological heterogeneity. In the present project, we aim to increase the accuracy in characterizing the phenotypical and biological signature for the different OCD subtypes through clinical, cognitive, and sleep markers, along with other possible markers that may be biologically plausible.

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