scholarly journals A multimodal neuroimaging study investigating resting-state connectivity, glutamate and GABA at 7 T in first-episode psychosis

2021 ◽  
Vol 46 (6) ◽  
pp. E702-E710
Author(s):  
Gregory Overbeek ◽  
Timothy J. Gawne ◽  
Meredith A. Reid ◽  
Nina V. Kraguljac ◽  
Adrienne C. Lahti
2018 ◽  
Vol 83 (9) ◽  
pp. S329
Author(s):  
Hironori Kuga ◽  
Andreia Faria ◽  
Lindsay Shaffer ◽  
Jeff Crawford ◽  
Takanori Ohgaru ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Soo Hwan Park ◽  
Taekwan Kim ◽  
Minji Ha ◽  
Sun-Young Moon ◽  
Silvia Kyungjin Lho ◽  
...  

AbstractNeuroimaging studies have revealed how intrinsic dysconnectivity among cortical regions of the mentalizing network (MENT) and the mirror neuron system (MNS) could explain the theory of mind (ToM) deficit in schizophrenia patients. However, despite the concurrent involvement of the cerebellum with the cortex in social cognition, the dysfunction in intrinsic interplay between the cerebellar nodes of MENT/MNS and the cortex in schizophrenia patients remains unknown. Thus, we aimed to investigate whether resting-state cerebello–cortical dysconnectivity exists in first-episode psychosis (FEP) patients in relationship with their ToM deficit. A total of 37 FEP patients and 80 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. Using a priori-defined cerebellar seeds that functionally connect to the MENT (right crus II) and MNS (right crus I), we compared cerebello–cortical functional connectivities (FCs) in FEP patients and HCs. Correlations between cerebello–parietal connectivities and ToM performance were investigated in FEP patients. FEP patients showed hyperconnectivity between the right crus II and anterior cingulate gyrus and between the right crus I and supplementary motor area, bilateral postcentral gyrus, and right central/parietal operculum (CO/PO). Hypoconnectivity was found between the right crus II and left supramarginal gyrus (SMG) in FEP patients. FCs between the right crus II and left SMG and between the right crus I and right CO/PO were significantly correlated with ToM scores in FEP patients. In accordance with the “cognitive dysmetria” hypothesis, our results highlight the importance of cerbello-cortical dysconnectivities in understanding social cognitive deficits in schizophrenia patients.


2015 ◽  
Vol 40 (7) ◽  
pp. 1631-1639 ◽  
Author(s):  
Miklos Argyelan ◽  
Juan A Gallego ◽  
Delbert G Robinson ◽  
Toshikazu Ikuta ◽  
Deepak Sarpal ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S93-S94
Author(s):  
Eric Nelson ◽  
Nina Kraguljac ◽  
Jose Maximo ◽  
William Armstrong ◽  
Adrienne Lahti

Abstract Background Approximately 30% of patients with schizophrenia do not improve with antipsychotic drug (APD) treatment and 60% show sub-optimal response. Converging lines of evidence point to hippocampal dysfunction in schizophrenia. It is thought that hippocampal dysfunction spreads across hippocampal subfields and to cortical regions by way of long-range efferent projections. Our prior studies have shown altered hippocampal regional cerebral blood flow in unmedicated patients and normalization after APD treatment. Meta-analyses show reduced hippocampal volume in first episode psychosis (FEP) patients. We evaluated resting state hippocampal functional connectivity (hFC) as well as hippocampal and hippocampal subfield volumes as predictors of treatment response (TR) in two cohorts of patients with a psychosis spectrum disorder. All patients were subsequently treated with an APD for 6 weeks. Methods Cohort 1 consisted of 55 medication-naïve first episode psychosis (FEP) subjects (36 male; mean age 24.18 years). Cohort 2 consisted of 42 unmedicated patients with schizophrenia (SZ) (31 male; mean age 27.9 years). FEP were scanned on a Siemens MAGNETOM Prisma MRI scanner using a 20 channel head coil. Anatomical scans were acquired via T1-weighted and T2-weighted images. Two 6-minute resting state scans were acquired in opposing phase encoding directions (A > P and P > A). SZ were scanned on a Siemens MAGNETOM Allegra MRI scanner with a circularly polarized transmit/receive head coil. Anatomical scans were acquired via a T1-weighted sequence. Resting state scans were acquired with a single 5-minute gradient recalled echo-planar imaging sequence. For both datasets, resting state data were preprocessed in the CONN toolbox (version 18a). We used the left hippocampus as a seed region to create whole brain seed-to-voxel correlation maps for each subject. Regression analyses were then performed to assess the relationship between resting state connectivity and TR (% change in BPRS positive score from (A) baseline to (B) after 6 weeks of APD: (((B-A)/A)*-100). Analyses were corrected using voxel (p < 0.05, uncorrected) and cluster level correction (p < 0.05, FDR corrected). Age, sex, and framewise displacement were used as covariates of no interest. T1 and T2 weighted images were preprocessed using FreeSurfer 6.0. Freesurfer’s hippocampus subfield segmentation module was used to calculate left and right subfield volumes. SPSS 25 was used to regress hippocampal subfield volumes on TR. Age and estimated total intracranial volume (eTIV) were included as covariates of no interest. Results In both cohorts greater hFC to the cuneus and precuneus was predictive of better TR, as was greater hFC to the fusiform gyrus, medial prefrontal cortex (PFC) and anterior cingulate cortex in cohort 2. Reduced hFC connectivity to the angular gyrus in supramarginal gyrus and temporal pole in cohort 1 as well as the orbitofrontal cortex and dorsolateral PFC in cohort 2 were also predictive of better TR. Results from the stepwise regression showed that neither right nor left whole hippocampal volume, or subfield volumes, significantly predict TR for either cohort. Discussion In two patient cohorts, we observed a similar pattern where increased hFC to the cuneus and precuneus was predictive of better response to APD. Furthermore, the lack of a significant predictive value of hippocampal volumes in predicting TR was replicated in each cohort. The replicability of these findings, particularly in a cohort of medication-naïve FEP provides potential biological patterns useful in determining initial response to APD medication in patients with a psychosis spectrum disorder.


2017 ◽  
Vol 41 (S1) ◽  
pp. s845-s845
Author(s):  
Y. Zaytseva ◽  
Z. Garakh ◽  
A. Morozova

IntroductionDespite the assumption that the EEG parameters in schizophrenia may be predictive for the treatment outcome, there are only a small number of such studies present. We hypothesised that the characteristics of the changes in EEG rhythms during cognitive load might differ in the first episode of psychosis and remission being dependent on the stage of the illness.MethodsThe EEG rhyths spectral power (SP) in the resting state and their changes during the performance of spatial logical task in 25 first-episode psychosis patients (FEP) and same patients in remission (REM) after 6–18 months were analysed. Control group included healthy subjects matched with patient group by gender, age and years of education.ResultsThe resting state SP values did not differ in FEP and REM. When performing a task, FEP theta SP was decreased compared to the resting state values in F7, F8, P3, T6 sites (P < 0.05), while gamma2 SP was increased in Fz (P < 0.001) and Pz (P < 0.01). REM theta, alpha, and beta1 SP was decreased in the same way as in norm in all sites (P < 0.05). Gamma2 SP increase was found in sites Fp1, F8, Fz (P < 0.05). FEP theta and beta1 SP changes during cognitive load positively correlated with the PANSS scales (delusions, thought disorders, hallucinations). REM did not have significant correlations between SP and PANSS parameters.ConclusionsThe analysed REM EEG characteristics differ less from the norm than the FEP. Based on the results, the performance of the task is related to the stage of the illness.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2019 ◽  
Vol 16 (9) ◽  
pp. 695-703 ◽  
Author(s):  
Rinvil Renaldi ◽  
Minah Kim ◽  
Tak Hyung Lee ◽  
Yoo Bin Kwak ◽  
Andi J. Tanra ◽  
...  

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