Commonalities and differences in ECT-induced gray matter volume change between depression and schizophrenia.

BACKGROUND: Electroconvulsive therapy (ECT) is one of the most effective treatments for depression and schizophrenia, particularly in urgent or treatment-resistant cases. After ECT, regional gray matter volume (GMV) increases have been repeatedly reported both in depression and schizophrenia. However, the interpretation of these findings remains entangled because GMV changes do not necessarily correlate with treatment effects and may be influenced by the intervention itself. We hypothesized that the comparison of longitudinal magnetic resonance imaging data between the two diagnostic groups will provide clues to distinguish diagnosis-specific and transdiagnostic changes. METHOD: Twenty-nine Japanese participants, including 18 inpatients with major depressive disorder and 11 with schizophrenia, underwent longitudinal voxel-based morphometry before and after ECT. We investigated GMV changes common to both diagnostic groups and those specific to each group. Moreover, we also evaluated potential associations between GMV changes and clinical improvement for each group. RESULTS: In both diagnostic groups, GMV increased in widespread areas after ECT, sharing common regions including: anterior temporal cortex; medial frontal and anterior cingulate cortex; insula; and caudate nucleus. In addition, we found a schizophrenia-specific GMV increase in a region including the left pregenual anterior cingulate cortex, with volume increase significantly correlating with clinical improvement. CONCLUSIONS: Transdiagnostic volume changes may represent the effects of the intervention itself and pathophysiological changes common to both groups. Conversely, diagnosis-specific volume changes are associated with treatment effects and may represent pathophysiology-specific impacts of ECT.

Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression.

BACKGROUND: Electroconvulsive therapy is effectively used for treatment-resistant depression; however, its neural mechanism is largely unknown. Resting-state functional magnetic resonance imaging is promising for monitoring outcomes of electroconvulsive therapy for depression. This study aimed to explore the imaging correlates of the electroconvulsive therapy effects on depression using Granger causality analysis and dynamic functional connectivity analyses. METHODS: We performed advanced analyses of resting-state functional magnetic resonance imaging data at the beginning and intermediate stages and end of the therapeutic course to identify neural markers that reflect or predict the therapeutic effects of electroconvulsive therapy on depression. RESULTS: We demonstrated that information flow between the functional networks analyzed by Granger causality changes during electroconvulsive therapy, and this change was correlated with the therapeutic outcome. Information flow and the dwell time (an index reflecting the temporal stability of functional connectivity) before electroconvulsive therapy are correlated with depressive symptoms during and after treatment. LIMITATIONS: First, the sample size was small. A larger group is needed to confirm our findings. Second, the influence of concomitant pharmacotherapy on our results was not fully addressed, although we expected it to be minimal because only minor changes in pharmacotherapy occurred during electroconvulsive therapy. Third, different scanners were used the groups, although the acquisition parameters were the same; a direct comparison between patient and healthy participant data was not possible. Thus, we presented the data of the healthy participants separately from that of the patients as a reference. CONCLUSIONS: These results show the specific properties of functional brain connectivity.

Early and late effects of electroconvulsive therapy associated with different temporal lobe structures.

Recent studies examining electroconvulsive therapy (ECT) have reported that early sessions can induce rapid antidepressant and antipsychotic effects, and the early termination of ECT was reported to increase the risk of relapse. We hypothesized that different neural mechanisms associated with the therapeutic effects of ECT may be involved in the different responses observed during the early and late periods of ECT treatment. We investigated whether these antidepressant and antipsychotic effects were associated with temporally and spatially different regional gray matter volume (GMV) changes during ECT. Fourteen patients with major depressive disorder, with or without psychotic features, underwent 3-Tesla structural magnetic resonance imaging scans before (time point [Tp] 1), after the fifth or sixth ECT session (Tp2), and after ECT completion (Tp3). We investigated the regions in which GMV changed between Tp1 and Tp2, Tp2 and Tp3, and Tp1 and Tp3 using voxel-based morphometry. In addition, we investigated the association between regional GMV changes and improvement in depressive or psychotic symptoms. GMV increase in the left superior and inferior temporal gyrus during Tp1-Tp2 was associated with improvement in psychotic symptoms (P < 0.025). GMV increase in the left hippocampus was associated with improvement of depressive symptoms in Tp2-Tp3 (P < 0.05). Our findings suggest that different temporal lobe structures are associated with early antipsychotic and late antidepressant effects of ECT.

Anti-PDHA1 antibody is detected in a subset of patients with schizophrenia.

Autoantibodies have been implicated in schizophrenia aetiology. Here, novel autoantibodies were isolated from patients with schizophrenia. Autoantibody candidates were searched using two-dimensional gel electrophoresis and western blotting with rat brain proteins as antigens and two sera pools (25 schizophrenia patients versus 25 controls) as antibodies. Immunoreactive antigens were identified by mass spectrometry. Antibody prevalence were evaluated by western blotting using human recombinant proteins. Furthermore, brain magnetic resonance imaging data (regional brain volumes and diffusion tensor imaging measures) were compared. Two proteins of the mitochondrial respiration pathway were identified as candidate antigens. Three patients with schizophrenia, but no controls, expressed antibodies targeting one of the candidate antigens, i.e., pyruvate dehydrogenase E1 component subunit alpha, somatic form, mitochondrial (PDHA1, EC 1.2.4.1), which is related to mitochondrial energy production. Anti-PDHA1 antibody-positive patients (n = 3) had increased volumes in the left occipital fusiform gyrus compared to both controls (n = 23, p = 0.017) and antibody-negative patients (n = 16, p = 0.009), as well as in the left cuneus compared to antibody-negative patients (n = 16, p = 0.018). This is the first report of an anti-PDHA1 antibody in patients with schizophrenia. Compatible with recent findings of mitochondrial dysfunction in schizophrenia, this antibody may be involved in the pathogenesis of a specific subgroup of schizophrenia.

Multimodal neuroimaging as a window into the pathological physiology of schizophrenia: Current trends and issues.

Visualizing the detailed brain anatomy of individuals with schizophrenia has been made possible by recent advances in magnetic resonance imaging (MRI). Although structural MRI cannot be currently used to diagnose schizophrenia, multimodal MRI can reveal insightful information on key clinical aspects of the pathological physiology of schizophrenia. However, in this regard, the number of multimodal MRI studies is still limited and definitely required. In this review, we discuss how classical and popular theories on the pathological physiology of schizophrenia can be re-examined using neuroimaging studies, and also discuss how multimodal MRI studies may provide additional findings. The pathological hypotheses examined include the "progressive brain disease hypothesis" and "disconnection hypothesis". This article is discussed mainly based on recent findings published by our research group.

Polymorphism within a Neuronal Activity-Dependent Enhancer of NgR1 Is Associated with Corpus Callosum Morphology in Humans.

The human Nogo-66 receptor 1 (NgR1) gene, also termed Nogo receptor 1 or reticulon 4 receptor (RTN4R) and located within 22q11.2, inhibits axonal growth and synaptic plasticity. Patients with the 22q11.2 deletion syndrome show multiple changes in brain morphology, with corpus callosum (CC) abnormalities being among the most prominent and frequently reported. Thus, we hypothesized that, in humans, NgR1 may be involved in CC formation. We focused on rs701428, a single nucleotide polymorphism of NgR1, which is associated with schizophrenia. We investigated the effects of the rs701428 genotype on CC structure in 50 healthy participants using magnetic resonance imaging. Polymorphism of rs701428 was associated with CC structural variation in healthy participants; specifically, minor A allele carriers had larger whole CC volumes and lower radial diffusivity in the central CC region compared with major G allele homozygous participants. Furthermore, we showed that the NgR1 3' region, which contains rs701428, is a neuronal activity-dependent enhancer, and that the minor A allele of rs701428 is susceptible to regulation of enhancer activity by MYBL2. Our results suggest that NgR1 can influence the macro- and microstructure of the white matter of the human brain.

Global association between cortical thinning and white matter integrity reduction in schizophrenia.

Previous neuroimaging studies have revealed that both gray matter (GM) and white matter (WM) are altered in several morphological aspects in schizophrenia patients. Although several studies reported associations between GM and WM alterations in restricted regions, the existence of a global association between GM and WM pathologies is unknown. Considering the wide distribution of GM morphological changes and the profound genetic background of WM abnormalities, it would be natural to postulate a global association between pathologies of GM and WM in schizophrenia. In this investigation, we studied 35 schizophrenia patients and 35 healthy control subjects using T1-weighted magnetic resonance imaging and diffusion tensor imaging (DTI) and investigated the association between GM thickness and WM fractional anisotropy (FA) as a proxy of pathology in each tissue. To investigate cortical thickness, surface-based analysis was used. The mean cortical thickness for the whole brain was computed for each hemisphere, and group comparisons were performed. For DTI data, mean FA for the whole brain was calculated, and group comparisons were performed. Subsequently, the correlation between mean cortical thickness and mean FA was investigated. Results showed that the mean cortical thickness was significantly thinner, and the mean FA was significantly lower in schizophrenia patients. Only in the patient group the mean cortical thickness and mean FA showed significant positive correlations in both hemispheres. This correlation remained significant even after controlling for demographic and clinical variables. Thus, our results indicate that the GM and WM pathologies of schizophrenia are intertwined at the global level.

Establishment of an efficient BAC transgenesis protocol and its application to functional characterization of the mouse Brachyury locus.

Transgenesis using large DNA such as YAC or BAC has extended the range of applications in functional genomics. Here we describe an efficient BAC transgenesis protocol using a simple BAC DNA preparation method adopted from YAC DNA purification methods. This method allowed us to isolate BAC DNA from small scale culture of BAC-containing cells in sufficient quantity and purity for microinjection. More than 40 founders have been produced with linearized BAC DNA prepared by this method, and 85% of them contained intact BAC transgenes. In contrast, when circular BAC DNA was injected, an approximately three-fold reduction of transgene integration rate was observed and fewer intact transgene integrations were obtained. A line of transgenic mice carrying a 170-kb BAC clone generated in this way successfully rescued tail and embryonic lethality phenotypes of the mouse Brachyury (T) mutants, further demonstrating the utility of this method in functional analysis of the mouse genome.

Different regulatory sequences are required for parvalbumin gene expression in skeletal muscles and neuronal cells of transgenic mice.

Parvalbumin (PV) is expressed in fast-twitch fibers in skeletal muscles and a subpopulation of inhibitory neurons in the CNS. We generated transgenic mice that expressed the human interleukin-2 receptor alpha-subunit-green fluorescent fusion protein (hIL-2R-GFP) using two types of PV transgene. One contained the hIL-2R-GFP gene downstream of a 16.5-kb 5'-upstream PV genomic sequence (PV line). The other comprised the hIL-2R-GFP gene in bacterial artificial chromosome (BAC) with either a 180-kb (PA line) or 155-kb (PB line) insert encompassing the PV gene. Independent lines of all transgenic mice showed a faithful hIL-2R-GFP expression in fast-twitch muscle fibers. However, appreciable hIL-2R-GFP expression in the CNS occurred only in the PA transgenic lines. In one line of PA transgenic mice, hIL-2R-GFP was properly expressed in PV-containing neurons in the cerebellum, thalamic reticular nucleus, globus pallidus and cerebral cortex, though ectopic expression was observed in a particular subset of cerebellar astrocytes. Another line of PA transgenic mice showed a selective and mosaic expression of hIL-2R-GFP in PV-containing Purkinje, basket and stellate cells in the cerebellum. These results indicate that the 16.5-kb PV genomic sequence is sufficient for fiber-type-selective transcription but additional regulatory sequences comprised in BAC DNA are required for proper expression in PV-containing neurons.