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1.
Psychopharmacol Bull ; 52(3): 72-80, 2022 06 27.
Article in English | MEDLINE | ID: mdl-35815178

ABSTRACT

Buprenorphine and naloxone (Suboxone) is a combination medication-assisted treatment (MAT) for opioid use disorder. MAT withdrawal-induced psychosis is a rare clinical presentation. To our best knowledge, only three reports have summarized the characteristic manifestations of buprenorphine withdrawal psychosis, yet all of them were male. In this case report, we present a 41-year-old female patient with bipolar disorder and comorbid substance use disorder who developed new-onset psychosis and relapse of manic symptoms following abrupt discontinuation of Suboxone. Manic and psychotic symptoms remitted after a short-term hospitalization with the treatment of an antipsychotic and a mood stabilizer. In addition to discussing this case presentation and treatment approach, we review existing literature and discuss possible underlying mechanisms to enhance understanding of this clinical phenomenon.


Subject(s)
Antipsychotic Agents , Bipolar Disorder , Buprenorphine , Psychotic Disorders , Substance Withdrawal Syndrome , Adult , Antipsychotic Agents/therapeutic use , Bipolar Disorder/drug therapy , Buprenorphine/adverse effects , Buprenorphine, Naloxone Drug Combination/therapeutic use , Female , Humans , Male , Naloxone/adverse effects , Psychotic Disorders/drug therapy , Substance Withdrawal Syndrome/drug therapy , Substance Withdrawal Syndrome/etiology
2.
Front Psychol ; 13: 812208, 2022.
Article in English | MEDLINE | ID: mdl-35756282

ABSTRACT

Background: Since the introduction of the neurodevelopmental perspective of schizophrenia research on individuals at ultra-high risk for psychosis (UHR) has gained increasing interest, aiming at early detection and intervention. Results from fMRI studies investigating behavioral and brain functional changes in UHR during facial emotion recognition, an essential component of social cognition, showed heterogenous results, probably due clinical diversity across these investigations. This fMRI study investigated emotion recognition in a sub-group of the UHR spectrum, namely non-help-seeking, drug-naïve UHR with high cognitive functioning to reveal the neurofunctional underpinnings of their social functioning in comparison to healthy controls. Methods: Two large cohorts of students from an elite University (n 1 = 4,040, n 2 = 4,364) were screened firstly with the Prodromal Questionnaires and by surpassing predefined cut-offs then interviewed with the semi-structured Interview for Psychosis-Risk Syndromes to verify their UHR status. Twenty-one identified non-help-seeking UHR and 23 non-UHR control subjects were scanned with functional magnetic resonance imaging while classifying emotions (i.e., neutral, happy, disgust and fear) in a facial emotion recognition task. Results: Behaviorally, no group differences were found concerning accuracy, reaction times, sensitivity or specificity, except that non-help-seeking UHR showed higher specificity when recognizing neutral facial expressions. In comparison to healthy non-UHR controls, non-help-seeking UHR showed generally higher activation in the superior temporal and left Heschl's gyrus as well as in the somatosensory, insular and midcingulate cortex than the control subjects during the entire recognition task regardless of the emotion categories. In an exploratory analysis, in the non-help-seeking UHR group, functional activity in the left superior temporal gyrus was significantly correlated with deficits in the ability to experience emotions at uncorrected statistical thresholds. Conclusions: Compared to healthy controls, non-help-seeking UHR show no behavioral deficits during facial emotion recognition, but functional hyperactivities in brain regions associated with this cognitive process. Our study may inspire future early intervention and provide loci for treatment using neural stimulation.

3.
BMC Psychiatry ; 21(1): 253, 2021 05 17.
Article in English | MEDLINE | ID: mdl-34001048

ABSTRACT

BACKGROUND: To investigate a 3-stage screening procedure and explore the clinical features of subjects at Clinical High Risk (CHR) for psychosis in a representative sample of Chinese college students. METHODS: An epidemiological survey of the prevalence of the CHR syndrome in Chinese college students that was selected by stratified random sampling from Shanghai, Nanjing and Nanchang cities was done following a 3-stage procedure. Participants were initially screened with the Prodromal Questionnaire-brief version (PQ-B), and whose distress score of PQ-B exceeded 24 would be invited to a telephone assessment using the subscale for positive symptoms of the Scale of Prodromal Symptoms (SOPS)/Structured Interview for Prodromal Syndromes (SIPS). Lastly, participants who scored 3 or higher in any item of the subscale would be administered with the SIPS interview conducted by trained researchers to confirm the diagnosis of CHR syndrome. RESULTS: Twenty-three thousand sixty-three college students completed the survey during September 2017 to October 2018. Seventy-two students were diagnosed as CHR subjects, and the detection rate in the total sample was 0.3%. The peak age range for the first diagnosis of CHR was 17 to 20 years. Thirteen and forty-six were set as the cutoff points of PQ-B total score and distress score to balance the greatest sensitivity and specificity. Binary logistic regression revealed that 8 items in PQ-B showed significant distinction for detecting CHR subjects. CONCLUSIONS: The 3-stage screening method can be utilized in the detection of CHR subjects for psychosis in the general population, during which delusional ideas, perceptual abnormalities and suspiciousness deserve great attention.


Subject(s)
Psychotic Disorders , Adolescent , Adult , China/epidemiology , Epidemiologic Studies , Humans , Prodromal Symptoms , Psychiatric Status Rating Scales , Psychotic Disorders/diagnosis , Psychotic Disorders/epidemiology , Students , Young Adult
4.
Gen Psychiatr ; 31(2): e000014, 2018.
Article in English | MEDLINE | ID: mdl-30582127

ABSTRACT

BACKGROUND: The impairment of facial expression recognition has become a biomarker for early identification of first-episode schizophrenia, and this kind of research is increasing. AIMS: To explore the differences in brain area activation using different degrees of disgusted facial expression recognition in antipsychotic-naïve patients with first-episode schizophrenia and healthy controls. METHODS: In this study, facial expression recognition tests were performed on 30 first-episode, antipsychotic-naïve patients with schizophrenia (treatment group) and 30 healthy subjects (control group) with matched age, educational attainment and gender. Functional MRI was used for comparing the differences of the brain areas of activation between the two groups. RESULTS: The average response time difference between the patient group and the control group in the 'high degree of disgust' facial expression recognition task was statistically significant (1.359 (0.408)/2.193 (0.625), F=26.65, p<0.001), and the correct recognition rate of the treatment group was lower than that of the control group (41.05 (22.25)/59.84 (13.91, F=19.81, p<0.001). Compared with the control group, the left thalamus, right lingual gyrus and right middle temporal gyrus were negatively activated in the patients with first-episode schizophrenia in the 'high degree of disgust' emotion recognition, and there was a significant activation in the left and right middle temporal gyrus and the right caudate nucleus. However, there was no significant activation difference in the 'low degree of disgust' recognition. CONCLUSIONS: In patients with first-episode schizophrenia, the areas of facial recognition impairment are significantly different in different degrees of disgust facial expression recognition.

5.
BMC Psychiatry ; 18(1): 383, 2018 12 07.
Article in English | MEDLINE | ID: mdl-30526563

ABSTRACT

BACKGROUND: By combining regional homogeneity (ReHo) and functional connectivity (FC) analyses, this study aimed to explore brain functional alterations in Attenuated Psychosis Syndrome (APS), which could provide complementary information for the neurophysiological indicators for schizophrenia (SZ) associated brain dysfunction. METHODS: Twenty-one APS subjects and twenty healthy controls were enrolled in the data acquisition of demographics and clinical characteristics as well as structural and resting-state functional magnetic resonance imaging (rs-fMRI). ReHo analysis was conducted to determine the peak coordinate of the abnormal regional brain activity. Then, identified brain regions were considered as seed regions and were used to calculate FC between reginal brain voxels and whole brain voxels. Finally, potential correlations between imaging indices and clinical data were also explored. RESULTS: Four APS and two HC subjects were excluded because the largest dynamic translation or rotation had exceeded 2 mm / 2°. Compared with healthy controls (HCs), APS subjects exhibited higher ReHo values in the right middle temporal gyrus (MTG) and lower ReHo values in the left middle frontal gyrus (MFG), left superior frontal gyrus (SFG), left postcentral gyrus (PoCG), and left superior frontal gyrus, medial (SFGmed). Considered these areas as seed regions, the APS subjects showed abnormal enhancement in functional brain connections, predominantly in the frontal and temporal lobes. CONCLUSIONS: We concluded that the APS subjects had spatially regional dysfunction and remoted synchronous dysfunction in the frontal and temporal lobes of the brain, and changes in ReHo and FC patterns may reveal the mechanism of brain dysfunctions and may serve as an imaging biomarker for the diagnosis and evaluation of SZ.


Subject(s)
Connectome/methods , Frontal Lobe , Magnetic Resonance Imaging/methods , Psychotic Disorders , Temporal Lobe , Adult , Brain Mapping/methods , Female , Frontal Lobe/diagnostic imaging , Frontal Lobe/physiopathology , Humans , Male , Psychotic Disorders/pathology , Psychotic Disorders/physiopathology , Temporal Lobe/diagnostic imaging , Temporal Lobe/physiopathology
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