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Dubey S, Das S, Ghosh R, Dubey MJ, Chakraborty AP, Roy D, Das G, Dutta A, Santra A, Sengupta S, Benito-León J. The Effects of SARS-CoV-2 Infection on the Cognitive Functioning of Patients with Pre-Existing Dementia. J Alzheimers Dis Rep 2023; 7:119-128. [PMID: 36891252 PMCID: PMC9986710 DOI: 10.3233/adr-220090] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/03/2023] [Indexed: 02/05/2023] Open
Abstract
Background Cognitive postscripts of COVID-19, codenamed as 'cognitive COVID' or 'brain fog,' characterized by multidomain cognitive impairments, are now being reckoned as the most devastating sequelae of COVID-19. However, the impact on the already demented brain has not been studied. Objective We aimed to assess the cognitive functioning and neuroimaging following SARS-CoV-2 infection in patients with pre-existing dementia. Methods Fourteen COVID-19 survivors with pre-existing dementia (four with Alzheimer's disease, five with vascular dementia, three with Parkinson's disease dementia, and two with the behavioral variant of frontotemporal dementia) were recruited. All these patients had detailed cognitive and neuroimaging evaluations within three months before suffering from COVID-19 and one year later. Results Of the 14 patients, ten required hospitalization. All developed or increased white matter hyperintensities that mimicked multiple sclerosis and small vessel disease. There was a significant increase in fatigue (p = 0.001) and depression (p = 0.016) scores following COVID-19. The mean Frontal Assessment Battery (p < 0.001) and Addenbrooke's Cognitive Examination (p = 0.001) scores also significantly worsened. Conclusion The rapid progression of dementia, the addition of further impairments/deterioration of cognitive abilities, and the increase or new appearance of white matter lesion burden suggest that previously compromised brains have little defense to withstand a new insult (i.e., 'second hit' like infection/dysregulated immune response, and inflammation). 'Brain fog' is an ambiguous terminology without specific attribution to the spectrum of post-COVID-19 cognitive sequelae. We propose a new codename, i.e. 'FADE-IN MEMORY' (i.e., Fatigue, decreased Fluency, Attention deficit, Depression, Executive dysfunction, slowed INformation processing speed, and subcortical MEMORY impairment).
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Affiliation(s)
- Souvik Dubey
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Shambaditya Das
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Ritwik Ghosh
- Department of General Medicine, Burdwan Medical College, and Hospital, Burdwan, West Bengal, India
| | - Mahua Jana Dubey
- Department of Psychiatry, Berhampur Mental Hospital, Berhampur, West Bengal, India
| | - Arka Prava Chakraborty
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Dipayan Roy
- Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), Patna, Bihar, India.,Indian Institute of Technology (IIT), Madras, Tamil Nadu, India.,School of Sciences, Indira Gandhi National Open University, New Delhi, India
| | - Gautam Das
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Ajitava Dutta
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Arindam Santra
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Samya Sengupta
- Department of General Medicine, Apollo Gleneagles Hospital, Kolkata, West Bengal, India
| | - Julián Benito-León
- Department of Neurology, University Hospital "12 de Octubre", Madrid, Spain.,Centro de Investigación Biomódica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Department of Medicine, Complutense University, Madrid, Spain
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Sarabandi M. A Comparison of Implicit and Explicit Motor Sequence Learning in Patients with Relapsing-Remitting Multiple Sclerosis. Sports (Basel) 2017; 5:E34. [PMID: 29910394 PMCID: PMC5968985 DOI: 10.3390/sports5020034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 05/17/2017] [Accepted: 05/23/2017] [Indexed: 12/16/2022] Open
Abstract
This study tends to assess implicit and explicit types of motor learning in patients with Multiple Sclerosis (MS) and normal peers by means of a serial reaction time. Sample size was 15 for each group and Samples included 30 patients with MS and 30 normal peers and were assigned to implicit and explicit learning groups. A repeated measures ANOVA was used for measuring reaction time and response error, and a paired samples t-test was used to compare regular and irregular sequence data in each group. Comparison of these two types of learning in speed (response time) and accuracy (number of errors) showed the number of errors (P = 0.012) and response time (P = 0.012) in the implicit motor learning group of MS patients and the number of errors (P = 0.096) and response time (P = 0.954) in the explicit motor learning group of MS patients. Moreover, comparison showed the number of errors (P = 0.008) and response time (P = 0.05) in the implicit group of normal peers and the number of errors (P = 0.011) and response time (P = 0.442) in the explicit group of normal peers. The results showed that explaining and describing the task is less effective at training the motor sequence of MS patients and that these patients benefit more from implicit learning.
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Affiliation(s)
- Maliheh Sarabandi
- Department of Physical Training, Faculty of Human Sciences, University of Zabol, Zabol 009854, Iran.
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