Adaptive Motor Imagery: A Multimodal Study of Immobilization-Induced Brain Plasticity.

نویسندگان

  • Hana Burianová
  • Paul F Sowman
  • Lars Marstaller
  • Anina N Rich
  • Mark A Williams
  • Greg Savage
  • Shahd Al-Janabi
  • Peter de Lissa
  • Blake W Johnson
چکیده

The consequences of losing the ability to move a limb are traumatic. One approach that examines the impact of pathological limb nonuse on the brain involves temporary immobilization of a healthy limb. Here, we investigated immobilization-induced plasticity in the motor imagery (MI) circuitry during hand immobilization. We assessed these changes with a multimodal paradigm, using functional magnetic resonance imaging (fMRI) to measure neural activation, magnetoencephalography (MEG) to track neuronal oscillatory dynamics, and transcranial magnetic stimulation (TMS) to assess corticospinal excitability. fMRI results show a significant decrease in neural activation for MI of the constrained hand, localized to sensorimotor areas contralateral to the immobilized hand. MEG results show a significant decrease in beta desynchronization and faster resynchronization in sensorimotor areas contralateral to the immobilized hand. TMS results show a significant increase in resting motor threshold in motor cortex contralateral to the constrained hand, suggesting a decrease in corticospinal excitability in the projections to the constrained hand. These results demonstrate a direct and rapid effect of immobilization on MI processes of the constrained hand, suggesting that limb nonuse may not only affect motor execution, as evidenced by previous studies, but also MI. These findings have important implications for the effectiveness of therapeutic approaches that use MI as a rehabilitation tool to ameliorate the negative effects of limb nonuse.

برای دانلود 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

A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System

Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...

متن کامل

Training the Motor Cortex by Observing the Actions of Others During Immobilization

Limb immobilization and nonuse are well-known causes of corticomotor depression. While physical training can drive the recovery from nonuse-dependent corticomotor effects, it remains unclear if it is possible to gain access to motor cortex in alternative ways, such as through motor imagery (MI) or action observation (AO). Transcranial magnetic stimulation was used to study the excitability of t...

متن کامل

Classification of EEG-based motor imagery BCI by using ECOC

AbstractAccuracy in identifying the subjects’ intentions for moving their different limbs from EEG signals is regarded as an important factor in the studies related to BCI. In fact, the complexity of motor-imagination and low amount of signal-to-noise ratio for EEG signal makes this identification as a difficult task. In order to overcome these complexities, many techniques such as variou...

متن کامل

Non-Invasive Brain Stimulation for Enhancement of Corticospinal Excitability and Motor Performance

During the past .. years, non-invasive .rain stimulation has .ecome an emerging .eld in clinical neuroscience due to its capability to transiently modulate corticospinal excitability, motor and cognitive functions. .hereas transcranial magnetic stimulation has .een used e.tensively since more than t.o decades ago as a potential .neuromodulator., transcranial current stimulation .tCS. has more r...

متن کامل

Motor Imagery-Based Brain Computer Interface: Contribution of TMS to the Understanding of Training-induced Effects on Motor Cortical Excitability*

INTRODUCTION Recent attention has been given to the use of Brain Computer Interface (BCI) technology to -dependent brain plasticity to improve rehabilitation outcome after brain disorders such as stroke [1]. In this prospective, we investigate if and how a BCI training based on motor imagery (MI) paradigm would induce plastic changes at the motor cortical level by means of Transcranial Magnetic...

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

برای دانلود 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

عنوان ژورنال:
  • Cerebral cortex

دوره 26 3  شماره 

صفحات  -

تاریخ انتشار 2016