Functional Connectivity During Visuospatial Processing in Schizophrenia: A Classification Study Using Lasso Regression
نویسندگان
چکیده
منابع مشابه
Abnormal functional connectivity during visuospatial processing is associated with disrupted organisation of white matter in autism
Disruption of structural and functional neural connectivity has been widely reported in Autism Spectrum Disorder (ASD) but there is a striking lack of research attempting to integrate analysis of functional and structural connectivity in the same study population, an approach that may provide key insights into the specific neurobiological underpinnings of altered functional connectivity in auti...
متن کاملFunctional connectivity in obesity during reward processing
Obesity is a health problem that has become a major focus of attention in recent years. There is growing evidence of an association between obesity and differences in reward processing. However, it is not known at present whether these differences are linked exclusively to food, or whether they can be detected in other rewarding stimuli. We compared responses to food, rewarding non-food and neu...
متن کاملResting-state Functional Connectivity During Controlled Respiratory Cycles Using Functional Magnetic Resonance Imaging
Introduction: This study aimed to assess the effect of controlled mouth breathing during the resting state using functional magnetic resonance imaging (fMRI). Methods: Eleven subjects participated in this experiment in which the controlled “Nose” and “Mouth” breathings of 6 s respiratory cycle were performed with a visual cue at 3T MRI. Voxel-wise seed-to-voxel maps and whole-brain region of i...
متن کاملFunctional connectivity abnormalities during contextual processing in schizophrenia and in Parkinson's disease.
Functional connectivity was evaluated in patients with schizophrenia (SC) and in patients with Parkinson's disease (PD) during the performance of a local contextual processing paradigm, to investigate the proposition that functional disconnection is involved with contextual processing deficits in these populations. To this end, we utilized event-related EEG signals, synchronization likelihood a...
متن کاملAdaptive Lasso and group-Lasso for functional Poisson regression
High dimensional Poisson regression has become a standard framework for the analysis of massive counts datasets. In this work we estimate the intensity function of the Poisson regression model by using a dictionary approach, which generalizes the classical basis approach, combined with a Lasso or a group-Lasso procedure. Selection depends on penalty weights that need to be calibrated. Standard ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neuropsychiatric Disease and Treatment
سال: 2021
ISSN: 1178-2021
DOI: 10.2147/ndt.s304434