MEG_Study_of_the_Default-mode_Network_in_Patients_with_Schizophrenia_(JSHS)[1] (1)

MEG_Study_of_the_Default-mode_Network_in_Patients_with_Schizophrenia_(JSHS)[1] (1)

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Name: (Frank) Xiao Zhu Home Address: 5592 Fawn Ct. Troy MI 48098 Email: [email protected] School: Troy High School Sponsor: Mrs. Rebecca Brewer Title: MEG Study of the Default-mode Network in Patients with Schizophrenia Abstract The purpose of this study is to determine if the Default-mode Network, the network of the brain in resting state, when not focused on a task, is abnormal in schizophrenia patients based on the detection of magnetic signals in the brain by Magnetoencephalography (MEG) imaging. Ten patients diagnosed with schizophrenia and ten control subjects were studied. A ten minute resting state MEG brain scan was performed with eyes open for every patient. Data was filtered at 3-50Hz. Then MEG Coherence analysis was performed to determine the cortical areas that interacted strongly within each frequency bin of 2Hz from 3-50Hz. Comparing control and schizophrenia patients, our results showed statistically significant differences in the right and left sides of Brodmann’s Area (BA) 47, BA 9, BA 10 and the right side of BA 46 and BA 24. These areas of the brain are involved in language, memory, decision making, empathy, executive functions, and higher cognitive functions in humans. Thus, these regions are directly related to common symptoms of schizophrenia. The detection of these DMN abnormalities using MEG imaging analysis can provide a basis to quantitatively diagnose patients with schizophrenia and assess the effectiveness of schizophrenia treatment methods.
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Contents: 1. Introduction 2. Methods 2.1 Subjects 2.2 MEG Data Collection Procedures 2.3 MEG Data Analysis 2.3.1 Analysis of DMN MEG Data: 2.4 Statistical Analysis 3. Results 3.1 Control (C-BA) vs. Schizophrenia (S-BA) 3.2 Right vs. Left Sides of BA’s in Controls and Schizophrenia 3.3 Disorganized vs. Paranoid Schizophrenia 4. Discussion
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MEG Study of the Default-mode Network in Patients with Schizophrenia 1. INTRODUCTION Schizophrenia is a mental disorder that causes a patient to have remarkably different perceptions of reality than what is apparent to the people around them. This disorder affects 0.5-1% of the world’s population [1]. It is primarily characterized by hallucinations and delusions (auditory, visual, tactile, gustatory, and olfactory), disordered thinking, irregular emotional expressions, and suicidal behavior [2-4]. To date, the underlying mechanism of schizophrenia has been theorized to be a result of environmental stress, excess dopamine in the brain, the reduced functioning of the N- methyl-D-aspartate glutamate receptors in the brain, and/or genetic predisposition [1, 5-8] There is currently no cure for schizophrenia. Although schizophrenia has been treated for years to lessen symptoms, these antipsychotic drugs carry a plethora of adverse side effects to patients [9]. Drug Treatments (i.e., antipsychotic medications) are available that reduce the symptoms of schizophrenia. These include the newer generation antipsychotic agents olanzapine (Zyprexa) and aripiprazole (Abilify) for psychosis among others [10-12]. As
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This note was uploaded on 01/05/2012 for the course WRITING 21w.034 taught by Professor Johnsmith during the Fall '11 term at MIT.

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MEG_Study_of_the_Default-mode_Network_in_Patients_with_Schizophrenia_(JSHS)[1] (1)

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