Diffusion Tensor Imaging Biomarkers to Predict Neurological Outcomes in Brain Surgery: A Systematic Review
Noa Ben Dor, Giovanni Sighinolfi, Vittoria Rosetti, Filippo Friso, Giada Garufi, Salvatore Massimiliano Cardali, Caterina Tonon, Raffaele Lodi, Alfredo Conti

TL;DR
This systematic review explores how diffusion tensor imaging (DTI) metrics can predict neurological outcomes after brain surgery, focusing on motor, language, and cognitive functions.
Contribution
The study systematically reviews evidence linking quantitative DTI measures to postoperative neurological outcomes, identifying specific associations for motor, language, and cognitive functions.
Findings
Reduced corticospinal tract integrity correlates with muscle weakness and poor recovery after surgery.
Higher preoperative dorsal language pathway integrity is linked to milder aphasia and better recovery.
Postoperative tract disruption and diffusivity changes predict persistent language deficits.
Abstract
Diffusion tensor imaging (DTI) tractography is routinely employed in neurosurgical planning; however, the prognostic significance of quantitative DTI metrics for postoperative functional outcomes remains unclear. We conducted a PRISMA-informed systematic review of PubMed (January 2005–1 December 2025), supplemented by additional indexed sources, to synthesize the evidence on quantitative DTI measures associated with postoperative motor, language, and cognitive outcomes following intracranial surgery. Thirty-seven studies were included, primarily single-center studies, and predominantly focused on glioma surgery. Motor outcomes exhibited the most consistent associations, with reduced corticospinal tract integrity and adverse postoperative diffusion changes correlating with muscle weakness and poorer recovery. Recovery from supplementary motor area syndrome was associated with…
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Taxonomy
TopicsAdvanced Neuroimaging Techniques and Applications · Glioma Diagnosis and Treatment · Epilepsy research and treatment
