Dynamic imaging of coherent sources (DICS) is a method for studying cortico-cortical and cortico-muscular interactions in the human brain. It uses a spatial filter to localize coherent brain regions and provides time courses of their activity. DICS is particularly useful for analyzing oscillatory components and their interactions in recorded data. The method involves computing cross spectral densities and using them to estimate power and coherence between brain areas. DICS can be applied to MEG and EEG data and allows for the identification of coherent brain areas beyond the sensor level. The performance of DICS was evaluated using simulated data and illustrated with recordings from a healthy subject and a Parkinsonian patient. The method enables the characterization of cortical networks involved in sensory, motor, or cognitive tasks and allows investigation of pathological connectivities in neurological disorders. DICS provides a way to study the dynamics of coherent brain areas based on electromagnetic recordings of human brain activity. It is especially suited for analyzing oscillatory components in continuously recorded electromagnetic signals. The method is based on a frequency domain implementation of a spatial filter and can be used for imaging the spatial distribution of power and coherence in chosen frequency bands. DICS is particularly useful for analyzing the time courses of activity in brain regions and for studying the synchronization of neural activity. The method has been applied to data from a healthy subject and a Parkinsonian patient, resulting in the localization of the generators of oscillatory activity and the characterization of cortico-muscular and cortico-cortical coupling. The results are consistent with previous studies and provide insights into the dynamics of neural interactions in the human brain. DICS is a promising tool for studying the functional connectivity between cortical areas and for investigating the role of synchronized rhythmic neural firing in solving the binding problem. The method is particularly useful for studying the dynamics of coherent brain areas and for addressing questions related to perceptual binding and coupling within distributed cortical networks during rest or task performance in physiological and pathological conditions.Dynamic imaging of coherent sources (DICS) is a method for studying cortico-cortical and cortico-muscular interactions in the human brain. It uses a spatial filter to localize coherent brain regions and provides time courses of their activity. DICS is particularly useful for analyzing oscillatory components and their interactions in recorded data. The method involves computing cross spectral densities and using them to estimate power and coherence between brain areas. DICS can be applied to MEG and EEG data and allows for the identification of coherent brain areas beyond the sensor level. The performance of DICS was evaluated using simulated data and illustrated with recordings from a healthy subject and a Parkinsonian patient. The method enables the characterization of cortical networks involved in sensory, motor, or cognitive tasks and allows investigation of pathological connectivities in neurological disorders. DICS provides a way to study the dynamics of coherent brain areas based on electromagnetic recordings of human brain activity. It is especially suited for analyzing oscillatory components in continuously recorded electromagnetic signals. The method is based on a frequency domain implementation of a spatial filter and can be used for imaging the spatial distribution of power and coherence in chosen frequency bands. DICS is particularly useful for analyzing the time courses of activity in brain regions and for studying the synchronization of neural activity. The method has been applied to data from a healthy subject and a Parkinsonian patient, resulting in the localization of the generators of oscillatory activity and the characterization of cortico-muscular and cortico-cortical coupling. The results are consistent with previous studies and provide insights into the dynamics of neural interactions in the human brain. DICS is a promising tool for studying the functional connectivity between cortical areas and for investigating the role of synchronized rhythmic neural firing in solving the binding problem. The method is particularly useful for studying the dynamics of coherent brain areas and for addressing questions related to perceptual binding and coupling within distributed cortical networks during rest or task performance in physiological and pathological conditions.