Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings

Autor: Xiufeng Xu, Haijun Li, Jinsong Tang, Kathleen R. Merikangas, Jicai Wang, Xiaogang Chen, Chunyu Liu, Jindong Chen, Hongbao Cao, Weiqing Liu, Liwen Tan, Chunrong Luo, Yanqing Tang, Yanhui Liao, Yin Yao Shugart, Vince D. Calhoun
Rok vydání: 2015
Předmět:
Adult
Male
endocrine system
animal structures
Sibling controls
Cognitive Neuroscience
medicine.medical_treatment
TRS
Disease
lcsh:Computer applications to medicine. Medical informatics
Article
lcsh:RC346-429
Functional connectivity
03 medical and health sciences
0302 clinical medicine
Neuroplasticity
Connectome
medicine
Humans
Radiology
Nuclear Medicine and imaging
Sibling
Antipsychotic
lcsh:Neurology. Diseases of the nervous system
Brain plasticity
Neuronal Plasticity
Siblings
Brain
Middle Aged
medicine.disease
Magnetic Resonance Imaging
030227 psychiatry
Neurology
Schizophrenia
lcsh:R858-859.7
Female
Treatment resistant schizophrenia
Neurology (clinical)
Psychology
Neuroscience
hormones
hormone substitutes
and hormone antagonists
030217 neurology & neurosurgery
Multivariate classification
Zdroj: NeuroImage: Clinical, Vol 8, Iss C, Pp 95-103 (2015)
NeuroImage : Clinical
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2015.03.017
Popis: Among individuals diagnosed with schizophrenia, approximately 20%–33% are recognized as treatment-resistant schizophrenia (TRS) patients. These TRS patients suffer more severely from the disease but struggle to benefit from existing antipsychotic treatments. A few recent studies suggested that schizophrenia may be caused by impaired synaptic plasticity that manifests as functional dysconnectivity in the brain, however, few of those studies focused on the functional connectivity changes in the brains of TRS groups. In this study, we compared the whole brain connectivity variations in TRS patients, their unaffected siblings, and healthy controls. Connectivity network features between and within the 116 automated anatomical labeling (AAL) brain regions were calculated and compared using maps created with three contrasts: patient vs. control, patient vs. sibling, and sibling vs. control. To evaluate the predictive power of the selected features, we performed a multivariate classification approach. We also evaluated the influence of six important clinical measures (e.g. age, education level) on the connectivity features. This study identified abnormal significant connectivity changes of three patterns in TRS patients and their unaffected siblings: 1) 69 patient-specific connectivity (PCN); 2) 102 shared connectivity (SCN); and 3) 457 unshared connectivity (UCN). While the first two patterns were widely reported by previous non-TRS specific studies, we were among the first to report widespread significant connectivity differences between TRS patient groups and their healthy sibling groups. Observations of this study may provide new insights for the understanding of the neurophysiological mechanisms of TRS.
Highlights • We first compared global functional connectivity in treatment-resistant schizophrenia and their unaffected siblings. • Widespread unshared significant functional connectivity in unaffected siblings of treatment-resistant schizophrenia • We studied the association of brain connectivity to clinical measures.
Databáze: OpenAIRE
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