The complex rhythmic patterns of central pattern generator (CPG) and its response to electromagnetic induction are explored. The response of an individual neuron's discharge activity to electromagnetic induction is analyzed when the slow variable parameter changes,and it is found that the smaller the slow variable parameter,the stronger the neuron's response to electromagnetic induction. The simulation reveals that the discharge rhythm of CPG that are sequentially inhibited (neuron 1 inhibits 2,neuron 2 inhibits 3,and neuron 3 inhibits 1) has a stronger response to electromagnetic induction in synchronous states and is more robust in typical discharge states (3 neurons firing in sequence). In addition,the response of the discharge rhythm of CPG with mutual inhibition coupling structure to electromagnetic induction is discussed,and it is found that small changes in electromagnetic induction will fundamentally transform the discharge rhythm pattern of CPG.

A review of functional connectivity gradients in brain development and brain diseases is conducted.During brain development,the hierarchy of functional connectivity gradients from the sensorimotor network to the default mode network dynamically changes with age in children and adolescents,and its global indices are associated with cognitive development,while gradient dispersion in adulthood may be related to aging and cognitive decline.In terms of brain diseases,abnormal functional connectivity gradients exist in various diseases such as autism spectrum disorder,Alzheimer's disease,depression,epilepsy and schizophrenia.Functional connectivity gradients have important potential in accurately depicting brain developmental trajectories,early disease diagnosis,and promoting personalized treatment.In the future,it is necessary to combine multimodal imaging techniques to deeply explore the mechanisms of brain activity.

A review of functional connectivity gradients in brain development and brain diseases is conducted.During brain development,the hierarchy of functional connectivity gradients from the sensorimotor network to the default mode network dynamically changes with age in children and adolescents,and its global indices are associated with cognitive development,while gradient dispersion in adulthood may be related to aging and cognitive decline.In terms of brain diseases,abnormal functional connectivity gradients exist in various diseases such as autism spectrum disorder,Alzheimer's disease,depression,epilepsy and schizophrenia.Functional connectivity gradients have important potential in accurately depicting brain developmental trajectories,early disease diagnosis,and promoting personalized treatment.In the future,it is necessary to combine multimodal imaging techniques to deeply explore the mechanisms of brain activity.

The complex rhythmic patterns of central pattern generator (CPG) and its response to electromagnetic induction are explored. The response of an individual neuron's discharge activity to electromagnetic induction is analyzed when the slow variable parameter changes,and it is found that the smaller the slow variable parameter,the stronger the neuron's response to electromagnetic induction. The simulation reveals that the discharge rhythm of CPG that are sequentially inhibited (neuron 1 inhibits 2,neuron 2 inhibits 3,and neuron 3 inhibits 1) has a stronger response to electromagnetic induction in synchronous states and is more robust in typical discharge states (3 neurons firing in sequence). In addition,the response of the discharge rhythm of CPG with mutual inhibition coupling structure to electromagnetic induction is discussed,and it is found that small changes in electromagnetic induction will fundamentally transform the discharge rhythm pattern of CPG.