2018
DOI: 10.1016/j.biopsych.2017.12.010
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Neural Mechanisms of Early-Life Social Stress as a Developmental Risk Factor for Severe Psychiatric Disorders

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Cited by 25 publications
(16 citation statements)
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“…A common animal model used to study different facets of mental disorders is early-life social isolation in rodents [ 1 ]. In rats, this isolation can induce long-lasting alterations in functional connectivity, behavior, and molecular expression [ 1 , 12 14 ]. The exposure to social deprivation is considered one of the most reliable preclinical models of schizophrenia, as it simulates the core features of mental disorders, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…A common animal model used to study different facets of mental disorders is early-life social isolation in rodents [ 1 ]. In rats, this isolation can induce long-lasting alterations in functional connectivity, behavior, and molecular expression [ 1 , 12 14 ]. The exposure to social deprivation is considered one of the most reliable preclinical models of schizophrenia, as it simulates the core features of mental disorders, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…This model is of particular interest since the manipulations are conducted early in life and caused long-term neurodevelopmental, behavioral, structural, and neurochemical alterations with a translational relevance for a spectrum of symptoms seen in schizophrenia. 82 Interestingly, a single dose of cariprazine (0.1-0.3 mg/kg) or aripiprazole (3 mg/kg) reduced the hyperactivity and reversed the cognitive deficits in the novel object recognition (NOR) test that were observed in rats exposed to a combination of PCP and social isolation. 83 Moreover, only cariprazine was able to correct pro-social behavioral and body-sniffing, which may reflect a potential effectiveness of cariprazine, but not aripiprazole, in treating negative symptoms.…”
mentioning
confidence: 98%
“…Image pre-processing was performed as in our previous studies 27,28 and comprised the following steps: (1) correction of each EPI time-series for magnetic field (B0) inhomogeneities and movement using "realign & unwarp" SPM function (SPM8: http://www.fil.ion.ucl.ac.uk/spm/ software/spm8); (2) regressing out the estimated movement parameter vectors from each voxel (FSL, version 4.1. http://www.fmrib.ox.ac.uk/fsl); (3) filtering out respiratory and cardiac signals using Aztec software; 29 (4) slicetiming correction (SPM8); (5) spatial normalization to a rat brain template in Paxinos space (SPM8); 30 (6) filtering out the cerebrospinal fluid signal from the normalized images (FSL); (7) scrubbing data frames with a frame-wise displacement >0.03 mm (linear interpolation) in order to capture the remaining motion-related artifacts; 31 (8) global signal regression; (9) band-pass filtering (0.01-0.1 Hz) (Analysis of Functional NeuroImages version 2) 32 .…”
Section: Mri Acquisition and Pre-processingmentioning
confidence: 99%