As an individual ages, there is a decline in precise motor control and coordination among fingers. The tactile sensation of the fingertips also reduces during aging, which plays a crucial role in object manipulation. A prominent and distinguishing feature of the human hand is hand dexterity compared to the other species. With this distinct feature, the human hand can manipulate different objects, from feathers to dumbbells, with ease. The finger-tip forces are adjusted automatically according to the object's size, orientation and weight. The finger-tip forces operate in a coordinated manner to avoid over-gripping or slipping of the object. The level of force applied and coordination vary among individuals for each object grasp. The diminished tactile sensation in older individuals leads to higher grip forces during object manipulation. Despite this general trend, EEG analysis demonstrated that the specific neural processes and cortical activations associated with grip force among the older population can vary depending on the task being performed. Finger force coordination can be defined using the finger force synergies. In this context, synergy in multi-finger grasping refers to the coordinated adjustment of finger forces and moments, aiming to optimize overall grip performance. As individuals age, there might be less coordination and cooperation among finger forces, resulting in a lower synergy index. Furthermore, muscle strength is reduced in the older group, which leads to poor finger force control and coordination. The changes in the neural and musculoskeletal systems further reduce the communication between the brain and muscles. Corticomuscular coherence (CMC) is an effective method for understanding how the cortex regulates voluntary movements of the muscle. Age-related reduction in the magnitude of CMC is evident in older individuals during sustained contractions of upper limb muscles. Additionally, it is evident that the hemisphere contralateral to the hand controls and coordinates the hand movements. Furthermore, it's suggested that the right hemisphere ages more rapidly than the left hemisphere. Many studies in the literature focus on the specific characteristics of motor control in isolation, such as grip force modulation, finger force synergies, EEG band power and EEG–EMG coherence. While some of the studies discuss age-related changes in motor control, the exploration of the functional consequences of these changes in the older is very scarce. Hence, in this study, the primary objective was to examine the relationship between finger force synergy index, EEG band power and EEG – EMG coherence during two lifting tasks and compare the results between the young and older groups. Additionally, our aim is to compare the EEG band power, finger force synergy and EEG – EMG coherence between the dominant and non-dominant hand in older individuals compared to the young. In the fixed task condition, young participants exhibited higher EEG beta band power compared to the older group, consistent with the previous research. Additionally, it was observed that in the young group, EEG band power and synergy indices were greater in the fixed condition than in the free condition. In contrast, no differences were observed in the older group between the task conditions. These findings suggest a limited ability to adjust finger force coordination in the older group. Furthermore, the change in synergy indices and EEG band power in the young represent the task-specific finger force control based on task demands. These findings imply that aging influences the neural mechanisms of finger force coordination. Besides, this indicates that the EEG beta band power may primarily represent the finger force coordination rather than the force magnitude.