This review synthesizes neural, motor, and technological evidence that handwriting kinematics reflect age- and disease-related changes and advocates digital assessment and rehabilitation approaches across healthy aging and neurodegenerative disorders.

Moderately useful for Parkinson's therapeutic discovery because it highlights scalable, non-invasive digital biomarkers and rehabilitative interventions that can aid early detection, patient stratification, and trial endpoints, but it lacks actionable molecular mechanisms or direct therapeutic…

Handwriting is a complex cognitive and motor skill supported by a distributed brain network involving cortical, subcortical, and cerebellar regions responsible for planning, execution, and sensorimotor integration. Beyond its communicative role, handwriting provides biologically meaningful information about brain function and motor control, serving as a sensitive marker of both normal and pathological changes. Age-related alterations, such as reduced fine motor precision, impaired sensory feedback, and cognitive slowing, contribute to the progressive decline in handwriting fluency and legibility. Importantly, distinctive handwriting patterns may be associated with early signs of neurodegenerative diseases, including Parkinson's disease, Alzheimer's disease, and Multiple Sclerosis, reflecting disease-specific alterations in motor and cognitive circuits. Advances in digital technology now enable high-resolution, quantitative analysis of handwriting kinematics, offering promising and scalable tools for diagnosis, longitudinal monitoring, and personalized rehabilitation. Furthermore, interventions incorporating fine motor and visuomotor coordination exercises, adaptive writing, and cognitive training may help preserve handwriting abilities and promote adaptive neural changes. In this review, we synthesize current evidence on the neural, behavioral, and technological mechanisms underlying handwriting across aging and neurodegenerative conditions. We provide an integrated overview of neural substrates, age- and disease-related alterations, and emerging digital approaches for assessment and intervention, highlighting their relevance for research and clinical practice. Overall, handwriting has the potential to offer a powerful, non-invasive window into brain health, bridging neuroscience, aging research, and digital medicine.