Using functional magnetic resonance imaging to study human brain functions

نویسندگان

  • Keiji Tanaka
  • Kang Cheng
  • Hiroshige Takeichi
  • Tameng Ong
  • R. Allen Waggoner
  • Eiji Yoshitome
  • Shinobu Mizuta
  • Kenichi Ueno
چکیده

Neuroscientists have traditionally relied on physiological and anatomical studies on experimental animals and clinicopathological studies on patients with localized brain damages to reveal the brain mechanisms of mental functions. Modern imaging techniques, however, permit us to observe non-invasively the neural activity of normal human brain. Among noninvasive measurement techniques, functional magnetic resonance imaging (fMRI) is growing rapidly because of its superior spatial resolution and complete non-invasiveness. We have set up an fMRI system with the static magnetic field of 4Tesla at RIKEN.

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

Evaluation of Model-Based Methods in Estimating Dynamic Functional Connectivity of Brain Regions

Today, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the d...

متن کامل

Using functional magnetic resonance imaging (fMRI) to explore brain function: cortical representations of language critical areas

Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...

متن کامل

Using functional magnetic resonance imaging (fMRI) to explore brain function: cortical representations of language critical areas

Pre-operative determination of the dominant hemisphere for speech and speech associated sensory and motor regions has been of great interest for the neurological surgeons. This dilemma has been of at most importance, but difficult to achieve, requiring either invasive (Wada test) or non-invasive methods (Brain Mapping). In the present study we have employed functional Magnetic Resonance Imaging...

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

Analysis of Memory-Related Brain Activation Maps in Sleep-Depriveation using Functional Magnetic Resonance Imaging

Background and purpose: Insomnia is a common sleep disorder with negative consequences such as decreased quality of life. In this study, the effect of sleep deprivation on memory in both young and older adults was investigated using functional magnetic resonance imaging (fMRI). Materials and methods: In this retrospective study, fMRI data of 40 healthy subjects (17 young and 23 older people) w...

متن کامل

Software Tools for the Analysis of Functional Magnetic Resonance Imaging

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging of brain functions. Currently, there is a large variety of software packages for the analysis of fMRI data, each providing many features for users. Since there is no single package that can provide all the necessary analyses for the fMRI data, it is helpful to know the features of each software package. ...

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 1999