Goverover, Yael Genova, Helen M. DeLuca, John and Chiaravalloti, Nancy D. 2017. Changes in the Brain.
Diker, Sevda Has, Arzu Ceylan Kurne, Aslı Göçmen, Rahşan Oğuz, Kader Karlı and Karabudak, Rana 2016. The association of cognitive impairment with gray matter atrophy and cortical lesion load in clinically isolated syndrome. Multiple Sclerosis and Related Disorders, Vol. 10, p. 14.
Giovannoni, Gavin Butzkueven, Helmut Dhib-Jalbut, Suhayl Hobart, Jeremy Kobelt, Gisela Pepper, George Sormani, Maria Pia Thalheim, Christoph Traboulsee, Anthony and Vollmer, Timothy 2016. Brain health: time matters in multiple sclerosis. Multiple Sclerosis and Related Disorders, Vol. 9, p. S5.
Jeffery, Douglas R. Di Cantogno, Elisabetta Verdun Ritter, Shannon Meier, Daniela Piani Radue, Ernst-Wilhelm and Camu, William 2016. The relationship between the rate of brain volume loss during first 24 months and disability progression over 24 and 48 months in relapsing MS. Journal of Neurology, Vol. 263, Issue. 2, p. 299.
Nunnari, Domenica De Cola, Maria Cristina Costa, Antonio Rifici, Carmela Bramanti, Placido and Marino, Silvia 2016. Exploring cognitive reserve in multiple sclerosis: New findings from a cross-sectional study. Journal of Clinical and Experimental Neuropsychology, Vol. 38, Issue. 10, p. 1158.
Paul, F. 2016. Pathology and MRI: exploring cognitive impairment in MS. Acta Neurologica Scandinavica, Vol. 134, p. 24.
Rolstad, S. Abé, C. Olsson, E. Eckerström, C. and Landén, M. 2016. Cognitive reserve lessens the burden of white matter lesions on executive functions in bipolar disorder. Psychological Medicine, Vol. 46, Issue. 15, p. 3095.
Roy, Shumita Schwartz, Carolyn E. Duberstein, Paul Dwyer, Michael G. Zivadinov, Robert Bergsland, Niels Powell, Victoria Weinstock-Guttman, Bianca and Benedict, Ralph H.B. 2016. Synergistic Effects of Reserve and Adaptive Personality in Multiple Sclerosis. Journal of the International Neuropsychological Society, Vol. 22, Issue. 09, p. 920.
Roy, Shumita Benedict, Ralph H. B. Drake, Allison S. and Weinstock-Guttman, Bianca 2016. Impact of Pharmacotherapy on Cognitive Dysfunction in Patients with Multiple Sclerosis. CNS Drugs, Vol. 30, Issue. 3, p. 209.
Sandroff, Brian M. Schwartz, Carolyn E. and DeLuca, John 2016. Measurement and maintenance of reserve in multiple sclerosis. Journal of Neurology, Vol. 263, Issue. 11, p. 2158.
Schwartz, Carolyn E. Dwyer, Michael G. Benedict, Ralph Weinstock-Guttman, Bianca Bergsland, Niels P. Li, Jei Ramanathan, Murali and Zivadinov, Robert 2016. Reserve-related activities and MRI metrics in multiple sclerosis patients and healthy controls: an observational study. BMC Neurology, Vol. 16, Issue. 1,
DeLuca, Gabriele C. Yates, Richard L. Beale, Harry and Morrow, Sarah A. 2015. Cognitive Impairment in Multiple Sclerosis: Clinical, Radiologic and Pathologic Insights. Brain Pathology, Vol. 25, Issue. 1, p. 79.
Martins Da Silva, Ana Cavaco, Sara Moreira, Inês Bettencourt, Andreia Santos, Ernestina Pinto, Cláudia Gonçalves, Alexandra Coutinho, Ester Samões, Raquel Dias, Cláudia C Teixeira-Pinto, Armando Da Silva, Berta Martins and Montalban, Xavier 2015. Cognitive reserve in multiple sclerosis: Protective effects of education. Multiple Sclerosis Journal, Vol. 21, Issue. 10, p. 1312.
Mathias, Jane L. and Wheaton, Patricia 2015. Contribution of brain or biological reserve and cognitive or neural reserve to outcome after TBI: A meta-analysis (prior to 2015). Neuroscience & Biobehavioral Reviews, Vol. 55, p. 573.
Nygaard, Gro O Walhovd, Kristine B Sowa, Piotr Chepkoech, Joy-Loi Bjørnerud, Atle Due-Tønnessen, Paulina Landrø, Nils I Damangir, Soheil Spulber, Gabriela Storsve, Andreas B Beyer, Mona K Fjell, Anders M Celius, Elisabeth G and Harbo, Hanne F 2015. Cortical thickness and surface area relate to specific symptoms in early relapsing–remitting multiple sclerosis. Multiple Sclerosis Journal, Vol. 21, Issue. 4, p. 402.
Papathanasiou, Athanasios Messinis, Lambros Zampakis, Petros Panagiotakis, Georgios Gourzis, Philippos Georgiou, Vasileios and Papathanasopoulos, Panagiotis 2015. Thalamic atrophy predicts cognitive impairment in relapsing remitting multiple sclerosis. Effect on instrumental activities of daily living and employment status. Journal of the Neurological Sciences, Vol. 358, Issue. 1-2, p. 236.
Sinay, Vladimiro Perez Akly, Manuel Zanga, Gisela Ciardi, Celina and Racosta, Juan M 2015. School performance as a marker of cognitive decline prior to diagnosis of multiple sclerosis. Multiple Sclerosis Journal, Vol. 21, Issue. 7, p. 945.
Sumowski, James F. 2015. Cognitive Reserve as a Useful Concept for Early Intervention Research in Multiple Sclerosis. Frontiers in Neurology, Vol. 6,
Sundgren, Mathias Wahlin, Åke Maurex, Liselotte and Brismar, Tom 2015. Event related potential and response time give evidence for a physiological reserve in cognitive functioning in relapsing–remitting multiple sclerosis. Journal of the Neurological Sciences, Vol. 356, Issue. 1-2, p. 107.
Hosseini, Banafsheh Flora, David B. Banwell, Brenda L. and Till, Christine 2014. Age of Onset as a Moderator of Cognitive Decline in Pediatric-Onset Multiple Sclerosis. Journal of the International Neuropsychological Society, Vol. 20, Issue. 08, p. 796.
According to the cognitive reserve hypothesis, neuropsychological expression of brain disease is attenuated among persons with higher education or premorbid intelligence. The current research examined cognitive reserve in multiple sclerosis (MS) by investigating whether the negative effect of brain atrophy on information processing (IP) efficiency is moderated by premorbid intelligence. Thirty-eight persons with clinically definite MS completed a vocabulary-based estimate of premorbid intelligence (Wechsler Vocabulary) and a composite measure of IP efficiency (Symbol Digit Modalities Test and Paced Auditory Serial Addition Task). Brain atrophy was estimated from measurements of third ventricle width using high-resolution anatomical brain magnetic resonance imaging (magnetization-prepared rapid gradient echo). In a hierarchical regression analysis controlling for age and depressive symptomatology, brain atrophy predicted worse IP efficiency (R2 = .23, p = .003) and cognitive reserve predicted better IP efficiency (R2 = .13, p = .013), but these effects were moderated by an Atrophy × Cognitive Reserve interaction (R2 = .15, p = .004). The negative effect of brain atrophy on IP efficiency was attenuated at higher levels of reserve, such that MS subjects with higher reserve were better able to withstand MS neuropathology without suffering cognitive impairment. Results help explain the incomplete and inconsistent relationship between brain atrophy and IP efficiency in previous research. (JINS, 2009, 15, 606–612.)
This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.
Full text views reflects the number of PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.
Abstract views reflect the number of visits to the article landing page.
* Views captured on Cambridge Core between September 2016 - 27th May 2017. This data will be updated every 24 hours.