Tuesday, July 23, 2013

Train resting neural networks, responsible child's for lack of attention


Train resting neural networks, responsible child's for lack of attention

Various theories of the mind divide the intrinsic activity of brain into multiple low frequency or resting state neural network as DMN and relatively high frequency states such as TPN and TNN (task positive/negative network). DMN or default mode network is active when the child is at complete rest. Low frequency states retains large amount of information, which helps child to perform tasks in active states. In disordered child the change of state from rest state to active state to perform tasks, deactivates certain neural networks. This results into child not being able to perform amazingly in active states. Temple bells, meditation, recitation of Vedic mantras or hymns are low frequency activities. Such low frequency  activities train default mode network. There is a exponential development of DMN states in very young children. This cease to develop with adults or adolescent children, but these low frequency states could developed by training. Wandering mind is thought to occur due to the ability of DMN to continue to process self-referential material at variable levels which is related the degree of attention required to tend to tasks in external environment. A person who is deeply involved in a task has significant attenuation of DMN with minimal wandering thoughts, whereas a person participating passively in a task has an active DMN giving way to the emergence of activities such as "day dreaming", "spacing out", and opportunity to multi-task. Temple bells, meditation, recitation of Vedic mantras or hymns might improves attention deficit/hyperactivity disorder (ADHD) syndromes in child by indirect training of DMN areas.

References:


NLP: meta-model of behavior during managing a change, a quick summary!


NLP = Neuro Linguistic Programming.

Organizations try to execute various programs to foster changes time to time. The reason people resist change is either they are not fully convinced that the change in justified, appropriate or useful. This doesn't mean they will never be convinced, it just means they are not convinced yet. Change programs run more smoothly and stand a chance of great success when it is implemented through volunteers who are ready to learn new processes, systems or practices associated with the change. When a change program is run, 'first time convincer' and 'one time convincer' are the first ones to attend. They are also coined as' early adopters'. They will be followed by the people with 'two- or three times convincers'. The third wave will be people with longer period of time convincers of more than three times. Then there will be people 'consistent convincers' who might never be convinced. When forced they'll just cast an air of gloom over the event and sow seeds of doubt in the minds of others.

The very interesting thought was about similar meta model of behavior might be exhibited by same people when they are convinced to buy a phone, car, house, insurance etc… :)

References:
  • NLP for work, a practical guide by Dianne Lowther