The article introduces a method called Dynamic Imaging of Coherent Sources (DICS) for studying functional connectivity and cortico-cortical interactions in the human brain. DICS uses a spatial filter to localize coherent brain regions and provides the time courses of their activity, allowing for the estimation of coherences between cortical areas. The method is evaluated using simulated data and applied to recordings from a healthy subject and a Parkinsonian patient. DICS is shown to accurately identify the generators of oscillatory activity and to characterize cortico-muscular and cortico-cortical coupling. The approach is particularly useful for studying dynamic interactions within distributed cortical networks during rest or task performance, both in physiological and pathological conditions.The article introduces a method called Dynamic Imaging of Coherent Sources (DICS) for studying functional connectivity and cortico-cortical interactions in the human brain. DICS uses a spatial filter to localize coherent brain regions and provides the time courses of their activity, allowing for the estimation of coherences between cortical areas. The method is evaluated using simulated data and applied to recordings from a healthy subject and a Parkinsonian patient. DICS is shown to accurately identify the generators of oscillatory activity and to characterize cortico-muscular and cortico-cortical coupling. The approach is particularly useful for studying dynamic interactions within distributed cortical networks during rest or task performance, both in physiological and pathological conditions.