Skip to main content

Spontaneous baby movements are important for development of coordinated sensorimotor system

Spontaneous, random baby movements aid development of their sensorimotor system, according to new research led by the University of Tokyo. Detailed motion capture of newborns and infants was combined with a musculoskeletal computer model to enable researchers to analyze communication among muscles and sensation across the whole body. 

Researchers found patterns of muscle interaction developing based on the babies' random exploratory behavior that would later enable them to perform sequential movements as infants. Better understanding how our sensorimotor system develops could help us gain insight into the origin of human movement as well as earlier diagnoses of developmental disorders.

Right from birth—and even in the womb—babies start to kick, wiggle and move seemingly without aim or external stimulation. These are called "spontaneous movements," and researchers believe that they have an important role to play in the development of the sensorimotor system, i.e., the ability to control the muscles, movement and coordination. If researchers can better understand these seemingly random movements and how they are involved in early human development, we might also be able to identify early indicators for certain developmental disorders, such as cerebral palsy.

Currently, there is limited knowledge about how newborns and infants learn to move. "Previous research into sensorimotor development has focused on kinematic properties, muscle activities which cause movement in a joint or a part of the body," said Project Assistant Professor Hoshinori Kanazawa from the Graduate School of Information Science and Technology.

"However, our study focused on muscle activity and sensory input signals for the whole body. By combining a musculoskeletal model and neuroscientific method, we found that spontaneous movements, which seem to have no explicit task or purpose, contribute to coordinated sensorimotor development."

First, the team recorded the joint movements of 12 healthy newborns (less than 10 days old) and 10 young infants (about three months old) using motion capture technology. Next, they estimated the babies' muscle activity and sensory input signals with the aid of a whole-body, infant-scale musculoskeletal computer model which they had created. Finally, they used computer algorithms to analyze the spatiotemporal (both space and time) features of the interaction between the input signals and muscle activity.

"We were surprised that during spontaneous movement, infants' movements 'wandered' and they pursued various sensorimotor interactions. We named this phenomenon 'sensorimotor wandering,'" said Kanazawa. "It has been commonly assumed that sensorimotor system development generally depends on the occurrence of repeated sensorimotor interactions, meaning the more you do the same action the more likely you are to learn and remember it.

"However, our results implied that infants develop their own sensorimotor system based on explorational behavior or curiosity, so they are not just repeating the same action but a variety of actions. In addition to this, our findings provide a conceptual linkage between early spontaneous movements and spontaneous neuronal activity."

Previous studies on humans and animals have shown that motor behavior (movement) involves a small set of primitive muscular control patterns. These are patterns that can typically be seen in task-specific or cyclic movements, like walking or reaching. The results of this latest study supports the theory that newborns and infants can acquire sensorimotor modules, i.e., synchronized muscle activities and sensory inputs, through spontaneous whole-body movements without an explicit purpose or task.

Even through sensorimotor wandering, the babies showed an increase in coordinated whole-body movements and in anticipatory movements. The movements performed by the infant group showed more common patterns and sequential movements, compared to the random movements of the newborn group.

Next, Kanazawa wants to look at how sensorimotor wandering affects later development, such as walking and reaching, along with more complex behaviors and higher cognitive functions. "My original background is in infant rehabilitation. My big goal through my research is to understand the underlying mechanisms of early motor development and to find knowledge that will help to promote baby development."

The work is published in the journal Proceedings of the National Academy of Sciences

For more such news & interesting articles or how can it affect in your life subscribe to our newsletter

 


 


 

Comments

Popular posts from this blog

Computers that power self-driving cars could be a huge driver of global carbon emissions

In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate as many greenhouse gas emissions as all the data centers in the world today.  Join our   whatsapp group for latest articles updates. That is one key finding of a new study from MIT researchers that explored the potential energy consumption and related carbon emissions if autonomous vehicles are widely adopted. The data centers that house the physical computing infrastructure used for running applications are widely known for their large carbon footprint: They currently account for about 0.3 percent of global greenhouse gas emissions, or about as much carbon as the country of Argentina produces annually, according to the International Energy Agency. Realizing that less attention has been paid to the potential footprint of ...

Novel design helps develop powerful microbatteries

Translating electrochemical performance of large format batteries to microscale power sources has been a long-standing technological challenge, limiting the ability of batteries to power microdevices, microrobots and implantable medical devices. University of Illinois Urbana-Champaign researchers have created a high-voltage microbattery (> 9 V), with high-energy and -power density, unparalleled by any existing battery design.  Join our   whatsapp group for latest articles updates. Material Science and Engineering Professor Paul Braun (Grainger Distinguished Chair in Engineering, Materials Research Laboratory Director), Dr. Sungbong Kim (Postdoc, MatSE, current assistant professor at Korea Military Academy, co-first author), and Arghya Patra (Graduate Student, MatSE, MRL, co-first author) recently published their paper "Serially integrated ...

ChatGPT writes convincing fake scientific abstracts that fool reviewers in study

Could the new and wildly popular chatbot ChatGPT convincingly produce fake abstracts that fool scientists into thinking those studies are the real thing?  Join our   whatsapp group for latest articles updates. That was the question worrying Northwestern Medicine physician-scientist Dr. Catherine Gao when she designed a study—collaborating with University of Chicago scientists—to test that theory. Yes, scientists can be fooled, their new study reports. Blinded human reviewers—when given a mix real and falsely generated abstracts—could only spot ChatGPT generated abstracts 68% of the time. The reviewers also incorrectly identified 14% of real abstracts as being AI generated. "Our reviewers knew that some of the abstracts they were being given were fake, so they were very suspicious," said corresponding author Gao, an instructor in pulmonary an...