E. Lopez-Soley , E. Martinez-Heras , F. Vivo , A. Calvi , S. Alba-Arbalat , L. Romero-Pinel , S. Martínez-Yélamos , C. Ramo-Tello , S. Presas-Rodríguez , E. Munteis , J.E. Martínez-Rodríguez , J. Sastre-Garriga , E. Anglada , E.R. Meza-Murillo , M.J. Arévalo , R. Sánchez-Carrión , R. Pelayo , M. Bernabeu , N. Sola-Valls , M. Hervas , S. Llufriu
{"title":"Efficacy of cognitive rehabilitation in cognition and brain networks: A randomised clinical trial in patients with multiple sclerosis","authors":"E. Lopez-Soley , E. Martinez-Heras , F. Vivo , A. Calvi , S. Alba-Arbalat , L. Romero-Pinel , S. Martínez-Yélamos , C. Ramo-Tello , S. Presas-Rodríguez , E. Munteis , J.E. Martínez-Rodríguez , J. Sastre-Garriga , E. Anglada , E.R. Meza-Murillo , M.J. Arévalo , R. Sánchez-Carrión , R. Pelayo , M. Bernabeu , N. Sola-Valls , M. Hervas , S. Llufriu","doi":"10.1016/j.nicl.2025.103775","DOIUrl":null,"url":null,"abstract":"<div><div>This study evaluated the efficacy of the computerised Guttmann, NeuroPersonalTrainer® (GNPT) cognitive rehabilitation (CR) and characterised the induced changes in cerebral networks in patients with multiple sclerosis (MS). This multicentre, double-blind, randomised clinical trial compared upward intensity training (active treatment) to low-intensity static training (static treatment). Cognition was assessed using the Brief Repeatable battery before and after 12 weeks of training and at 10-months follow-up, and patients were classified as having a mild or severe cognitive impairment (CI). Brain MRI pre- and post-CR were analysed using an advanced tractography algorithm, based on multishell diffusion MRI, to obtain node-based graph metrics (local efficiency and strength) from microscopic fractional anisotropy. Seventy MS patients completed the study (age 48.9 ± 8.8, disease duration 16.8 ± 9.0 years); active treatment: 36, static treatment: 34. Verbal memory improved significantly post-CR in both groups (55 % active; 34 % static treatment), accompanied by increases in local efficiency and strength in multimodal regions. At follow-up, verbal memory declined in both groups but remained above the pre-CR assessment (−25 % and −17 %, respectively). Patients with severe-CI (n = 36) showed improvement only with active treatment, while those with mild-CI (n = 34) improved regardless of intensity treatment. Network changes were more pronounced in patients in active treatment and in those with severe-CI. Quality of life did not change at post-CR, and cognitive improvement was influenced by cognitive reserve (<em>p</em> = 0.011). In MS, GNPT temporarily improves verbal memory and increases network connectivity, reinforcing the CR as a valuable tool for enhancing cognitive skills and promoting neuronal plasticity.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103775"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroimage-Clinical","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213158225000452","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
This study evaluated the efficacy of the computerised Guttmann, NeuroPersonalTrainer® (GNPT) cognitive rehabilitation (CR) and characterised the induced changes in cerebral networks in patients with multiple sclerosis (MS). This multicentre, double-blind, randomised clinical trial compared upward intensity training (active treatment) to low-intensity static training (static treatment). Cognition was assessed using the Brief Repeatable battery before and after 12 weeks of training and at 10-months follow-up, and patients were classified as having a mild or severe cognitive impairment (CI). Brain MRI pre- and post-CR were analysed using an advanced tractography algorithm, based on multishell diffusion MRI, to obtain node-based graph metrics (local efficiency and strength) from microscopic fractional anisotropy. Seventy MS patients completed the study (age 48.9 ± 8.8, disease duration 16.8 ± 9.0 years); active treatment: 36, static treatment: 34. Verbal memory improved significantly post-CR in both groups (55 % active; 34 % static treatment), accompanied by increases in local efficiency and strength in multimodal regions. At follow-up, verbal memory declined in both groups but remained above the pre-CR assessment (−25 % and −17 %, respectively). Patients with severe-CI (n = 36) showed improvement only with active treatment, while those with mild-CI (n = 34) improved regardless of intensity treatment. Network changes were more pronounced in patients in active treatment and in those with severe-CI. Quality of life did not change at post-CR, and cognitive improvement was influenced by cognitive reserve (p = 0.011). In MS, GNPT temporarily improves verbal memory and increases network connectivity, reinforcing the CR as a valuable tool for enhancing cognitive skills and promoting neuronal plasticity.
期刊介绍:
NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging.
The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.