Olivier Beauchet1, Gilles Allali2, Cédric Annweiler3, Joe Verghese4. 1. Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research and Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada. Centre of Excellence on Aging and Chronic Diseases of McGill integrated University Health Network, Montreal, Quebec, Canada. olivier.beauchet@mcgill.ca. 2. Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland. Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York. 3. Department of Neuroscience, Division of Geriatric Medicine, Angers University Hospital; University Memory Clinic of Angers; UPRES EA 4638, University of Angers, UNAM, Angers, France. Center for Functional and Metabolic Mapping, Robarts Research Institute, Department of Medical Biophysics, Schulich School of Medicine and Dentistry, the University of Western Ontario, London, Ontario, Canada. 4. Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York.
Abstract
BACKGROUND: The "motoric cognitive risk" (MCR) syndrome is a newly reported predementia syndrome combining cognitive complaint and slow gait speed. We hypothesized that individuals with MCR syndrome would have lower brain volumes compared with non-MCR individuals. This study aims (i) to compare the cognitive profile of nondemented older community-dwellers with and without MCR syndrome and (ii) to examine association of global and regional brain volumes with MCR syndrome. METHODS: A total of 171 individuals (28 MCR and 143 non-MCR) were included in this cross-sectional study. Total white matter abnormalities, total white matter, total cortical and subcortical gray matters, hippocampus, motor cortex, premotor cortex, and prefrontal cortex were examined. Brain volumes were quantified from a three-dimensional T1-weighted magnetic resonance imaging using semi-automated software. Age, gender, education level, number of drugs taken daily, use of psychoactive drugs, and cognitive profile were also measured. RESULTS: The distribution of cognitively healthy individuals and those with mild cognitive impairment was not different in participants with and without MCR. Multiple logistic regression models showed that smaller volumes of total gray matter (p = .016), total cortical gray matter (p = .010), premotor cortex (p = .018), prefrontal cortex (p = .026), and dorsolateral segment of prefrontal cortex (p = .032) were associated with MCR status. The premotor cortex presented the highest mean difference for brain regional volume between MCR and non-MCR participants (p = .03). CONCLUSIONS: The findings revealed similar cognitive profile in MCR and non-MCR participants, and MCR-related smaller global and regional gray matter volumes involving premotor and prefrontal cortices, suggesting that the MCR syndrome may predict cortical neurodegenerative dementia more than subcortical dementia.
BACKGROUND: The "motoric cognitive risk" (MCR) syndrome is a newly reported predementia syndrome combining cognitive complaint and slow gait speed. We hypothesized that individuals with MCR syndrome would have lower brain volumes compared with non-MCR individuals. This study aims (i) to compare the cognitive profile of nondemented older community-dwellers with and without MCR syndrome and (ii) to examine association of global and regional brain volumes with MCR syndrome. METHODS: A total of 171 individuals (28 MCR and 143 non-MCR) were included in this cross-sectional study. Total white matter abnormalities, total white matter, total cortical and subcortical gray matters, hippocampus, motor cortex, premotor cortex, and prefrontal cortex were examined. Brain volumes were quantified from a three-dimensional T1-weighted magnetic resonance imaging using semi-automated software. Age, gender, education level, number of drugs taken daily, use of psychoactive drugs, and cognitive profile were also measured. RESULTS: The distribution of cognitively healthy individuals and those with mild cognitive impairment was not different in participants with and without MCR. Multiple logistic regression models showed that smaller volumes of total gray matter (p = .016), total cortical gray matter (p = .010), premotor cortex (p = .018), prefrontal cortex (p = .026), and dorsolateral segment of prefrontal cortex (p = .032) were associated with MCR status. The premotor cortex presented the highest mean difference for brain regional volume between MCR and non-MCR participants (p = .03). CONCLUSIONS: The findings revealed similar cognitive profile in MCR and non-MCR participants, and MCR-related smaller global and regional gray matter volumes involving premotor and prefrontal cortices, suggesting that the MCR syndrome may predict cortical neurodegenerative dementia more than subcortical dementia.
Authors: Kyle D Moored; Thomas Chan; Vijay R Varma; Yi-Fang Chuang; Jeanine M Parisi; Michelle C Carlson Journal: J Gerontol B Psychol Sci Soc Sci Date: 2020-09-14 Impact factor: 4.077
Authors: Vicki L Gray; Andrew P Goldberg; Mark W Rogers; Laila Anthony; Michael L Terrin; Jack M Guralnik; William C Blackwelder; Diana F H Lam; Siddhartha Sikdar; Brajesh K Lal Journal: J Vasc Surg Date: 2019-11-04 Impact factor: 4.268
Authors: Helena M Blumen; Lucy L Brown; Christian Habeck; Gilles Allali; Emmeline Ayers; Olivier Beauchet; Michele Callisaya; Richard B Lipton; P S Mathuranath; Thanh G Phan; V G Pradeep Kumar; Velandai Srikanth; Joe Verghese Journal: Brain Imaging Behav Date: 2019-04 Impact factor: 3.978
Authors: Amir A Khan; Jigar Patel; Sarasijhaa Desikan; Matthew Chrencik; Janice Martinez-Delcid; Brian Caraballo; John Yokemick; Vicki L Gray; John D Sorkin; Juan Cebral; Siddhartha Sikdar; Brajesh K Lal Journal: J Vasc Surg Date: 2020-11-07 Impact factor: 4.268
Authors: Gilles Allali; Helena M Blumen; Hervé Devanne; Elvira Pirondini; Arnaud Delval; Dimitri Van De Ville Journal: Neurophysiol Clin Date: 2018-10-25 Impact factor: 3.734