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Can I read Reduced Functional Connectivity in Brain Networks Underlying Paired Associates Memory Encoding in Schizophrenia on EtoBox?
Reduced Functional Connectivity in Brain Networks Underlying Paired Associates Memory Encoding in Schizophrenia by Meighen M. Roes; Abhijit M. Chinchani; Todd S. Woodward is a Neuroscience article available to read on EtoBox.
What is Reduced Functional Connectivity in Brain Networks Underlying Paired Associates Memory Encoding in Schizophrenia about?
## Background: Deficits in relational episodic memory encoding are characteristic of schizophrenia (sz), but whole-brain multivariate analyses of these deficits have been lacking. open science has provided task-based functional magnetic resonance imaging (fmri) data investigating paired associate encoding in sz, but it has not yet been mobilized to address this gap in the literature. therefore, in this study, we use previously unpublished task fmri data to conduct the first network-level investigation of impaired relational episodic encoding in sz. ## Methods: Using fmri data acquired from 40 healthy control participants and 40 age- and sex-matched persons with sz, we examined the networks involved in successful versus unsuccessful encoding of verbal paired associates using an associative semantic strategy. ## Results: Constrained principal component analysis for fmri revealed 3 distinct functional networks recruited during encoding: a responding network, a linguistic processing/attention network, and the default mode network. relative to the healthy control group, the sz group exhibited aberrant activity in all 3 networks during successful encoding; namely, hypoactivation in the l
Who reads Reduced Functional Connectivity in Brain Networks Underlying Paired Associates Memory Encoding in Schizophrenia?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Meighen M. Roes; Abhijit M. Chinchani; Todd S. Woodward
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Neuroscience (Life Sciences)
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