Cargando…

Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

Schizophrenia (SZ) and autism spectrum disorder (ASD) share considerable clinical features and intertwined historical roots. It is greatly needed to explore their similarities and differences in pathophysiologic mechanisms. We assembled a large sample size of neuroimaging data (about 600 SZ patients...

Descripción completa

Detalles Bibliográficos
Autores principales:	Du, Yuhui, Fu, Zening, Xing, Ying, Lin, Dongdong, Pearlson, Godfrey, Kochunov, Peter, Hong, L. Elliot, Qi, Shile, Salman, Mustafa, Abrol, Anees, Calhoun, Vince D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440519/ https://www.ncbi.nlm.nih.gov/pubmed/34521980 http://dx.doi.org/10.1038/s42003-021-02592-2

Ejemplares similares

Dynamic functional network reconfiguration underlying the pathophysiology of schizophrenia and autism spectrum disorder
por: Fu, Zening, et al.
Publicado: (2020)

A new multimodality fusion classification approach to explore the uniqueness of schizophrenia and autism spectrum disorder
por: Du, Yuhui, et al.
Publicado: (2022)

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
por: Abrol, Anees, et al.
Publicado: (2021)

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
por: Du, Yuhui, et al.
Publicado: (2020)

Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network
por: Qi, Shile, et al.
Publicado: (2022)

Convergent Approaches for Defining Functional Imaging Endophenotypes in Schizophrenia
por: Pearlson, Godfrey D., et al.
Publicado: (2009)

Functional Brain Networks in Schizophrenia: A Review
por: Calhoun, Vince D., et al.
Publicado: (2009)

Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals
por: Hassanzadeh, Reihaneh, et al.
Publicado: (2022)

Developmental and aging resting functional magnetic resonance imaging brain state adaptations in adolescents and adults: A large N (>47K) study
por: Abrol, Anees, et al.
Publicado: (2023)

Default mode network modulation by mentalizing in young adults with autism spectrum disorder or schizophrenia
por: Hyatt, Christopher J., et al.
Publicado: (2020)

Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification
por: Rabany, Liron, et al.
Publicado: (2019)

Intrinsic neural timescales in autism spectrum disorder and schizophrenia. A replication and direct comparison study
por: Uscătescu, Lavinia Carmen, et al.
Publicado: (2023)

Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity
por: Abrol, Anees, et al.
Publicado: (2017)

Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
por: Rokham, Hooman, et al.
Publicado: (2023)

Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measures
por: Miller, Robyn L., et al.
Publicado: (2019)

Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
por: Qi, Shile, et al.
Publicado: (2020)

Age‐related structural and functional variations in 5,967 individuals across the adult lifespan
por: Luo, Na, et al.
Publicado: (2019)

A Selective Review of Multimodal Fusion Methods in Schizophrenia
por: Sui, Jing, et al.
Publicado: (2012)

Structural Angle and Power Images Reveal Interrelated Gray and White Matter Abnormalities in Schizophrenia
por: Xu, Lai, et al.
Publicado: (2012)

Classification of schizophrenia patients based on resting-state functional network connectivity
por: Arbabshirani, Mohammad R., et al.
Publicado: (2013)

Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
por: Rashid, Barnaly, et al.
Publicado: (2014)

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia
por: Yang, Honghui, et al.
Publicado: (2010)

Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder
por: Calhoun, Vince D, et al.
Publicado: (2012)

Altered Small-World Brain Networks in Temporal Lobe in Patients with Schizophrenia Performing an Auditory Oddball Task
por: Yu, Qingbao, et al.
Publicado: (2011)

Identifying commonality and specificity across psychosis sub-groups via classification based on features from dynamic connectivity analysis
por: Du, Yuhui, et al.
Publicado: (2020)

The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study
por: Qi, Shile, et al.
Publicado: (2020)

Evidence for Anomalous Network Connectivity during Working Memory Encoding in Schizophrenia: An ICA Based Analysis
por: Meda, Shashwath A., et al.
Publicado: (2009)

Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia
por: Iraji, Armin, et al.
Publicado: (2022)

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
por: Du, Yuhui, et al.
Publicado: (2018)

A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia
por: Xing, Ying, et al.
Publicado: (2023)

Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study
por: Meng, Xing, et al.
Publicado: (2023)

Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression
por: Salman, Mustafa S., et al.
Publicado: (2019)

Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
por: Doucet, Gaelle E., et al.
Publicado: (2020)

An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders
por: Pearlson, Godfrey D., et al.
Publicado: (2015)

High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data
por: Du, Wei, et al.
Publicado: (2012)

Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease
por: Hajjar, Ihab, et al.
Publicado: (2023)

Predictive signature of static and dynamic functional connectivity for ECT clinical outcomes
por: Fu, Zening, et al.
Publicado: (2023)

Altered Topological Properties of Functional Network Connectivity in Schizophrenia during Resting State: A Small-World Brain Network Study
por: Yu, Qingbao, et al.
Publicado: (2011)

Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients
por: Miller, Robyn L., et al.
Publicado: (2016)

Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity
por: Sendi, Mohammad S. E., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6glalsjdq6it4vus7c6teaaiij