Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Mariko Tada is active.

Publication


Featured researches published by Mariko Tada.


Frontiers in Psychiatry | 2013

Mismatch Negativity as a “Translatable” Brain Marker Toward Early Intervention for Psychosis: A Review

Tatsuya Nagai; Mariko Tada; Kenji Kirihara; Tsuyoshi Araki; Seiichiro Jinde; Kiyoto Kasai

Recent reviews and meta-analyses suggest that reducing the duration of untreated psychosis leads to better symptomatic and functional outcome in patients with psychotic disorder. Early intervention attenuates the symptoms of individuals at clinical high-risk (HR) for psychosis and may delay or prevent their transition to psychosis. Identifying biological markers in the early stages of psychotic disorder is an important step toward elucidating the pathophysiology, improving prediction of the transition to psychosis, and introducing targeted early intervention for help-seeking individuals aiming for better outcome. Mismatch negativity (MMN) is a component of event-related potentials that reflects preattentive auditory sensory memory and is a promising biomarker candidate for schizophrenia. Reduced MMN amplitude is a robust finding in patients with chronic schizophrenia. Recent reports have shown that people in the early stages of psychotic disorder exhibit attenuation of MMN amplitude. MMN in response to duration deviants and in response to frequency deviants reveals different patterns of deficits. These findings suggest that MMN may be useful for identifying clinical stages of psychosis and for predicting the risk of development. MMN may also be a “translatable” biomarker since it reflects N-methyl-d-aspartte receptor function, which plays a fundamental role in schizophrenia pathophysiology. Furthermore, MMN-like responses can be recorded in animals such as mice and rats. This article reviews MMN studies conducted on individuals with HR for psychosis, first-episode psychosis, recent-onset psychosis, and on animals. Based on the findings, the authors discuss the potential of MMN as a clinical biomarker for early intervention for help-seeking individuals in the early stages of psychotic disorder, and as a translatable neurophysiological marker for the preclinical assessment of pharmacological agents used in animal models that mimic early stages of the disorder.


Schizophrenia Research | 2013

Auditory mismatch negativity and P3a in response to duration and frequency changes in the early stages of psychosis

Tatsuya Nagai; Mariko Tada; Kenji Kirihara; Noriaki Yahata; Ryuichiro Hashimoto; Tsuyoshi Araki; Kiyoto Kasai

BACKGROUND A shorter duration of untreated psychosis in patients with schizophrenia results in better symptomatic and functional outcomes. Therefore, identifying biological markers in the early stages of psychosis is an important step toward early detection and intervention. Mismatch negativity (MMN) and P3a are leading candidate biomarkers. MMN measures differ in their sensitivity to varying deviants. However, this has not been fully addressed in assessing the early stages of psychosis. In the current study, we examined MMN/P3a to duration deviant (dMMN/dP3a) and frequency deviant (fMMN/fP3a) in the early stages of psychosis. To our knowledge, this is the first study that examined both MMN/P3a to duration deviant (dMMN/dP3a) and frequency deviant (fMMN/fP3a) in the early stages of psychosis. METHODS Participants consisted of 20 patients with first episode schizophrenia (FES), 21 ultra-high risk (UHR) individuals, and 22 healthy controls (HC). We measured dMMN/dP3a and fMMN/fP3a ERP components by means of a 64 electrodes-cap for EEG recording, and we used two-tone auditory oddball paradigms with 2000 stimuli. RESULTS The amplitude of dMMN was significantly reduced in FES and UHR compared to HC. The amplitude of fMMN showed no significant difference among the three groups. The amplitudes of dP3a and fP3a were significantly reduced in FES and UHR compared to HC. CONCLUSION These findings suggest that dMMN may have higher sensitivity than fMMN whereas dP3a and fP3a may have similar sensitivity in the early stages of psychosis.


Translational Psychiatry | 2014

A snapshot of plasma metabolites in first-episode schizophrenia: a capillary electrophoresis time-of-flight mass spectrometry study

Shinsuke Koike; Miki Bundo; Kazuya Iwamoto; Motomu Suga; Hitoshi Kuwabara; Y Ohashi; K Shinoda; Yosuke Takano; Norichika Iwashiro; Yoshihiro Satomura; Tatsuya Nagai; Tatsunobu Natsubori; Mariko Tada; Hidenori Yamasue; Kiyoto Kasai

Few biomarkers have been known that can easily measure clinical conditions in mental illnesses such as schizophrenia. Capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS) is a new method that can measure ionized and low-molecular-weight metabolites. To explore global metabolomic alterations that characterize the onset of schizophrenia and identify biomarkers, we profiled the relative and absolute concentrations of the plasma metabolites from 30 patients with first-episode schizophrenia (FESZ, four drug-naïve samples), 38 healthy controls and 15 individuals with autism spectrum disorders using CE-TOFMS. Five metabolites had robust changes (increased creatine and decreased betaine, nonanoic acid, benzoic acid and perillic acid) in two independent sample sets. Altered levels of these metabolites are consistent with well-known hypotheses regarding abnormalities of the homocysteine metabolism, creatine kinase-emia and oxidative stress. Although it should be considered that most patients with FESZ received medication, these metabolites are candidate biomarkers to improve the determination of diagnosis, severity and clinical stages, especially for FESZ.


Schizophrenia Research | 2013

A multimodal approach to investigate biomarkers for psychosis in a clinical setting: The integrative neuroimaging studies in schizophrenia targeting for early intervention and prevention (IN-STEP) project

Shinsuke Koike; Yosuke Takano; Norichika Iwashiro; Yoshihiro Satomura; Motomu Suga; Tatsuya Nagai; Tatsunobu Natsubori; Mariko Tada; Yukika Nishimura; Syudo Yamasaki; Noriaki Yahata; Tsuyoshi Araki; Hidenori Yamasue; Kiyoto Kasai

Longitudinal clinical investigations and biological measurements have determined not only progressive brain volumetric and functional changes especially around the onset of psychosis but also the abnormality of developmental pathways based on gene-environment interaction model. However, these studies have contributed little to clinical decisions on their diagnosis and therapeutic choices because of subtle differences between patients and healthy controls. A multi-modal approach may resolve this limitation and is favorable to explore the pathophysiology of psychosis. The integrative neuroimaging studies for schizophrenia targeting early intervention and prevention (IN-STEP) is a research project aimed at exploring the pathophysiological features of the onset of psychosis and investigating possible predictive biomarkers for the clinical treatment of psychosis. Since 2008, we have adopted blood sampling, neurocognitive batteries, neurophysiological assessment, structural imaging, and functional imaging longitudinally for help-seeking ultra-high-risk (UHR) individuals and patients with first-episode psychosis (FEP). Here, we intend to introduce the IN-STEP research study protocol and present preliminary clinical findings. Thirty-seven UHR individuals and 30 patients with FEP participated in this study. Six months later, there was no difference in objective and subjective scores between the groups, which suggests that young people having symptoms and functional deficits should be cared for regardless of their history of psychosis according to their clinical stages. The rate of transition to psychosis was 7.1%, 8.0%, and 35.3% (at 6, 12, and 24months, respectively). Through this research project, we expect to clarify the pathophysiological features around the onset of psychosis and improve the prognosis of psychosis through clinical application.


Cerebral Cortex | 2016

Differential Alterations of Auditory Gamma Oscillatory Responses Between Pre-onset High-risk Individuals and First-episode Schizophrenia

Mariko Tada; Tatsuya Nagai; Kenji Kirihara; Shinsuke Koike; Motomu Suga; Tsuyoshi Araki; Tetsuo Kobayashi; Kiyoto Kasai

Alterations in gamma-band auditory steady-state response (ASSR) are the most robust finding of abnormal neural oscillations in patients with first-episode (FES) and chronic schizophrenia. Gamma-band ASSRs may indicate GABAergic interneuron dysfunction. Nevertheless, it is unknown whether abnormal gamma-band ASSRs are present before the onset of psychosis. Subjects were 15 ultra-high-risk (UHR) individuals, 13 FES patients, and 21 healthy control (HC) subjects. We performed electroencephalogram recordings and measured ASSRs in each group as they were presented with click trains at 20, 30, and 40 Hz. We then conducted time-frequency analyses and calculated intertrial phase coherence and event-related spectral perturbation. The time course of gamma-band ASSRs showed significantly different features among groups. Compared with the HC group, the UHR group was characterized by intact early-latency (0-100 ms) and reduced late-latency (300-500 ms) ASSRs. In contrast, both early- and late-latency ASSRs were significantly reduced in the FES group. Gamma-band ASSRs were correlated with clinical symptoms and attentional functioning in FES (|rs| > 0.70). These results suggest differential alterations of gamma-band ASSRs between UHR and FES groups. The late-latency ASSR alteration may represent a biomarker for early detection of psychosis, while the early-latency ASSR abnormality may develop through the onset of psychosis.


Progress in Neuro-psychopharmacology & Biological Psychiatry | 2012

Neurophysiological impairment in emotional face processing is associated with low extraversion in schizophrenia

Kenji Kirihara; Kiyoto Kasai; Mariko Tada; Tatsuya Nagai; Yuki Kawakubo; Syudo Yamasaki; Toshiaki Onitsuka; Tsuyoshi Araki

Patients with schizophrenia have low extraversion and high neuroticism. These personality traits affect the everyday life of patients with schizophrenia, making it important to investigate neurobiological basis of personality traits. In healthy people, extraversion is associated with hemodynamic responses in the amygdala and electrophysiological brain activity such as event-related potential and event-related desynchronization during emotional face processing. Patients with schizophrenia show abnormal neural activity during emotional face processing, such as an N170 amplitude reduction. However, few studies to date have reported an association between personality traits and neural activity during emotional face processing in schizophrenia. In the present study, we examined N170 during emotional face processing, and association with personality traits in patients with schizophrenia. Fifteen male patients with chronic schizophrenia and 15 healthy male subjects participated in this study. Patients with schizophrenia had reduced N170 amplitudes (p=0.007). While healthy subjects had increased N170 amplitudes in response to emotional faces compared with neutral faces (p=0.003), patients with schizophrenia showed no difference in N170 amplitudes between emotional and neutral faces (p=0.60). Reduced N170 amplitude in response to neutral faces was correlated with low extraversion scores in patients with schizophrenia (r(s)=-0.69, p=0.005). The abnormal N170 and its association with extraversion in schizophrenia were found at the right rather than the left posterior temporal electrode. An abnormal N170 in schizophrenia may reflect impairments in the structural encoding of emotional faces, and indiscrimination between emotional and neutral faces at this stage of information processing. The association between abnormal N170 amplitudes and extraversion suggests that abnormal neural activity in the early stages of emotional face processing may underlie low extraversion characteristic of schizophrenia.


Psychiatry and Clinical Neurosciences | 2016

Intact neural activity during a Go/No‐go task is associated with high global functioning in schizophrenia

Tsuyoshi Araki; Kenji Kirihara; Daisuke Koshiyama; Tatsuya Nagai; Mariko Tada; Masato Fukuda; Kiyoto Kasai

Go/No‐go derived event‐related potential (ERP) signals have been widely used in schizophrenia research to monitor self‐control deficits in this disorder. However, no study to date has associated Go/No‐go‐related ERP with global functioning.


Scientific Reports | 2017

Reduced Mismatch Negativity is Associated with Increased Plasma Level of Glutamate in First-episode Psychosis

Tatsuya Nagai; Kenji Kirihara; Mariko Tada; Daisuke Koshiyama; Shinsuke Koike; Motomu Suga; Tsuyoshi Araki; Kenji Hashimoto; Kiyoto Kasai

Reduced amplitude of mismatch negativity (MMN) is one of the more promising biological markers of schizophrenia. This finding holds true in both early and chronic phases of the disorder, and is compatible with the glutamatergic dysfunction hypothesis. To further establish MMN as a biomarker of aberrant glutamatergic neurotransmission, an exploration for an association with blood levels of glutamatergic amino acids is an important next step. Despite a large body of work investigating MMN in schizophrenia, no previous studies have undertaken this endeavor. Nineteen patients with first-episode psychosis (FEP), 21 ultra-high risk individuals (UHR), and 16 healthy controls (HC) participated in the study. The MMNs in response to duration change (dMMN) and frequency change (fMMN) were measured. The fasting plasma levels of glutamate, glutamine, glycine, D-serine, and L-serine were measured. dMMN amplitudes were significantly reduced in FEP and UHR, compared to HC. The plasma levels of glutamate of FEP were significantly higher than those of HC. Higher plasma levels of glutamate were associated with smaller dMMN amplitudes in the FEP and HC groups. These findings are compatible with the hypothesis that MMN is a useful biological marker of aberrant glutamatergic neurotransmission in the early stages of schizophrenia.


Schizophrenia Research | 2017

Duration and frequency mismatch negativity shows no progressive reduction in early stages of psychosis

Daisuke Koshiyama; Kenji Kirihara; Mariko Tada; Tatsuya Nagai; Shinsuke Koike; Motomu Suga; Tsuyoshi Araki; Kiyoto Kasai

The auditory mismatch negativity (MMN) is a component of event-related potentials, which is being increasingly recognized as a candidate biomarker for early stages of psychosis. Although previous cross-sectional studies have demonstrated small MMN amplitude in early stages of psychosis, it remains unknown whether small MMN amplitude is due to progressive reduction during the early course. In this study, we investigated longitudinal changes of MMN in early stages of psychosis. Participant included 14 patients with first-episode psychosis (FEP), 16 individuals with ultra-high risk (UHR), and 16 healthy control subjects (HC). We measured MMN in response to duration deviants (dMMN) and that in response to frequency deviants (fMMN), respectively. The amplitudes of dMMN in FEP and UHR were significantly smaller in comparison to those in HC, which did not show a progressive decrease over time. The amplitude of fMMN did not differ among groups, which again did not show progression. There was no significant correlation between the length of the follow-up period and the longitudinal change of either deviant-type MMN in the FEP or UHR. These results suggest that dMMN is a trait marker in the early stages of psychosis, and that small dMMN amplitude in early stages of psychosis may reflect altered developmental process rather than progressive brain pathology. The amplitude of fMMN may not alter in early stages of psychosis. These findings may contribute to the future establishment of MMN as a biomarker in early stages of psychosis.


Schizophrenia Research | 2016

Association between impaired brain activity and volume at the sub-region of Broca's area in ultra-high risk and first-episode schizophrenia: A multi-modal neuroimaging study

Norichika Iwashiro; Shinsuke Koike; Yoshihiro Satomura; Motomu Suga; Tatsuya Nagai; Tatsunobu Natsubori; Mariko Tada; Wataru Gonoi; Akira Kunimatsu; Hidenori Yamasue; Kiyoto Kasai

Recent studies have suggested that functional abnormalities in Brocas area, which is important in language production (speech and thoughts before speech), play an important role in the pathophysiology of schizophrenia. While multi-modal approaches have proved useful in revealing the specific pathophysiology of psychosis, the association of functional abnormalities with gray matter volume (GMV) here in subjects with an ultra-high risk (UHR) of schizophrenia, those with first-episode schizophrenia (FES), and healthy controls has yet to be clarified. Therefore, the relationship between cortical activity measured using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task, and GMV in the Brocas area assessed using a manual tracing in magnetic resonance imaging (MRI), which considers individual structural variation, was examined for 57 subjects (23 UHR/18 FES/16 controls). The UHR and FES group showed significantly reduced brain activity compared to control group in the left pars triangularis (PT) (P=.036, .003, respectively). Furthermore in the FES group, the reduced brain activity significantly positively correlated with the volume in the left PT (B=0.29, P=.027), while significant negative association was evident for all subjects (B=-0.18, P=.010). This correlation remained significant after adjusting for antipsychotics dosage, and voxel-wise analysis could not detect any significant correlation between impaired cortical activity and volume. The significant relationship between neural activity and GMV in the left PT may reflect a specific pathophysiology related to the onset of schizophrenia.

Collaboration


Dive into the Mariko Tada's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge