Decoding of brain functional connections underlying natural grasp task using time-frequency cross mutual information

نویسندگان

چکیده

The purpose of using electroencephalogram to explore the dynamic changes brain functional connectivity during natural grasping tasks is uncover underlying mechanisms information transmission between different regions cognitive processing. This exploration aims provide new insights for development brain-computer interface technology and contribute diagnosis treatment disorders. In this study, we used time-frequency cross mutual evaluate 3-class (palmar grasp, lateral grasp rest state). Specifically, our analysis focused on generated by amplitude phase signals within alpha (8-13 Hz) beta (20-30 frequency bands. To assess differences in global coupling strength, employed two-series correlation coefficients, motor periods three tasks. Furthermore, it was compared that strength same task. Finally, topologic characteristics networks investigated. findings study indicate reorganization frontal region closely related external visual stimuli occurs preparation period. onset movement leads a lateralized connectivity, which associated with right or left executive hand. Both central parietal prominently execution, particular plays an important role execution fine movements. Further revealed brain’s regulation across bands, amplitudes phases, enabling perform multiple limited energy resources.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Decoding natural grasp types from human ECoG

Electrocorticographic (ECoG) signals have been successfully used to provide information about arm movement direction, individual finger movements and even continuous arm movement trajectories. Thus, ECoG has been proposed as a potential control signal for implantable brain-machine interfaces (BMIs) in paralyzed patients. For the neuronal control of a prosthesis with versatile hand/arm functions...

متن کامل

Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging.

Mutual information tools have been recently applied to quantify the connectivity between brain regions in functional magnetic resonance imaging (fMRI). Here we develop measures of mutual information between clusters of brain regions in the frequency domain. The properties and limitations of the method are exemplified through a single resting state fMRI dataset, and with a comparison involving f...

متن کامل

the effects of time planning and task complexity on accuracy of narrative task performance

هدف اصلی این تحقیق بررسی تاثیر برنامه ریزی زمانی، هم چنین افزایش میزان پیچیدگی تکالیف در نظر گرفته شده بصورت همزمان، بر دقت و صحت و پیچیدگی عملکرد نوشتاری زبان آموزان می باشد. بدین منظور، 50 نفر از دانش آموزان دختر در رده ی سنی 16 الی 18 سال به عنوان شرکت کنندگان در این زمینه ی تحقیق در نظر گرفته شدند و به دو گروه آزمایشی و کنترل بصورت اتفاقی تقسیم شدند. اعضای گروه آزمایشی هر دو تکلیف ساده و پی...

Time-frequency distribution of partial phonetic information measured using mutual information

This paper uses the method of mutual information to estimate the distribution of partial phonetic information in the time-frequency plane relative to an acoustic landmark. TIMIT transcriptions are parsed to estimate the locations of consonant closure landmarks, consonant release landmarks, manner change landmarks, and vowel or glide pivot landmarks. A mel-scale spectrogram is computed over the ...

متن کامل

Decoding Face Information in Time, Frequency and Space from Direct Intracranial Recordings of the Human Brain

Faces are processed by a neural system with distributed anatomical components, but the roles of these components remain unclear. A dominant theory of face perception postulates independent representations of invariant aspects of faces (e.g., identity) in ventral temporal cortex including the fusiform gyrus, and changeable aspects of faces (e.g., emotion) in lateral temporal cortex including the...

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

ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2023.3303508