A Review: Detecting Alterations of Brain Connectivity in Schizophrenia based on Structural MRI

نویسندگان

  • Chunlan Yang
  • Wan Li
  • Wu Weiwei
  • Shuicai Wu
  • Wangsheng Lu
چکیده

Schizophrenia is a common psychiatric disease with brain connectivity changed. Nowadays brain network has become an effective tool to detect the abnormal brain connectivity in patients. Compared with studies focused on functional and white matter connectivity, the research of grey matter connectivity is relatively less and should be paid more attention. The primary approach of grey matter connectivity analysis is based on brain network constructed from structural MRI (sMRI). There are several morphometric features such as cortical thickness, volume, and curvature etc. Which could be used for sMRI brain network construction? This review briefly introduced sMRI brain network construction and analysis, presenting the most frequently used morphometric features with their effectiveness in schizophrenia, highlighting the application of sMRI brain network in schizophrenia, and finally estimated its potential value.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Application of Magnetic Resonance Spectroscopy in Neurocognitive Assessment After Head Injury: A Systematic Review

Background: Traumatic brain injury is believed to be a public health disorder with some complications. Post Traumatic Neurocognitive Disorders (PTND) received much attention among these complications because of the high prevalence of mild traumatic brain injuries. On the other hand, advanced neuroimaging is increasingly becoming an exciting modality in the field of traumatic brain injury. Magne...

متن کامل

Detection of schizophrenia patients using convolutional neural networks from brain effective connectivity maps of electroencephalogram signals

Background: Schizophrenia is a mental disorder that severely affects the perception and relations of individuals. Nowadays, this disease is diagnosed by psychiatrists based on psychiatric tests, which is highly dependent on their experience and knowledge. This study aimed to design a fully automated framework for the diagnosis of schizophrenia from electroencephalogram signals using advanced de...

متن کامل

Understanding structural-functional relationships in the human brain: a large-scale network perspective.

Relating the brain's structural connectivity (SC) to its functional connectivity (FC) is a fundamental goal in neuroscience because it is capable of aiding our understanding of how the relatively fixed SC architecture underlies human cognition and diverse behaviors. With the aid of current noninvasive imaging technologies (e.g., structural MRI, diffusion MRI, and functional MRI) and graph theor...

متن کامل

Regional Brain Atrophy and Functional Disconnection in Broca’s Area in Individuals at Ultra-High Risk for Psychosis and Schizophrenia

BACKGROUND Abnormalities in cognitive abilities such as verbal fluency and in cognitive-related brain regions, particularly Broca's area, have been reported in patients with schizophrenia. Additionally, previous studies have demonstrated that structural and functional abnormalities in Broca's area were associated with clinical symptoms and cognitive deficits in patients with schizophrenia, sugg...

متن کامل

Resting-state Functional Connectivity During Controlled Respiratory Cycles Using Functional Magnetic Resonance Imaging

Introduction: This study aimed to assess the effect of controlled mouth breathing during the resting state using functional magnetic resonance imaging (fMRI). Methods: Eleven subjects participated in this experiment in which the controlled “Nose” and “Mouth” breathings of 6 s respiratory cycle were performed with a visual cue at 3T MRI. Voxel-wise seed-to-voxel maps and whole-brain region of i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014