1
|
Guarnieri B, Maestri M, Cucchiara F, Lo Gerfo A, Schirru A, Arnaldi D, Mattioli P, Nobili F, Lombardi G, Cerroni G, Bartoli A, Manni R, Sinforiani E, Terzaghi M, Arena MG, Silvestri R, La Morgia C, Di Perri MC, Franzoni F, Tognoni G, Mancuso M, Sorbi S, Bonuccelli U, Siciliano G, Faraguna U, Bonanni E. Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer’s Disease Reveals Sex Differences. J Alzheimers Dis 2020; 78:1707-1719. [DOI: 10.3233/jad-200632] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p < 0.001) and sleep efficiency (SE) lower (p = 0.003) in MCI, and Sleep Regularity Index (SRI) was lower in AD patients compared to controls (p = 0.004). SE was lower in male AD compared to female AD (p = 0.038) and SRI lower in male AD compared to male controls (p = 0.008), male MCI (p = 0.047), but also female AD subjects (p = 0.046). Mesor was significantly lower in males in the overall population. Age reduced the dissimilarities for WASO and SE but demonstrated sex differences for amplitude (p = 0.009) in the overall population, controls (p = 0.005), and AD subjects (p = 0.034). The confusion-matrices showed good predictive power of actigraphic data. Conclusion: Actigraphic data could help identify disease or health status. Sex (possibly gender) differences could impact on neurodegeneration and disease trajectory with potential clinical applications.
Collapse
Affiliation(s)
- Biancamaria Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Pescara, Italy
- Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | - Michelangelo Maestri
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Federico Cucchiara
- SONNOLab, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Clinical Pharmacology and Pharmacogenetic Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Annalisa Lo Gerfo
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Alessandro Schirru
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Dario Arnaldi
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale San Martino, Genoa, Italy
| | - Pietro Mattioli
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale San Martino, Genoa, Italy
| | - Flavio Nobili
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale San Martino, Genoa, Italy
| | | | - Gianluigi Cerroni
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Pescara, Italy
- Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | - Antonella Bartoli
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Pescara, Italy
- Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | - Raffaele Manni
- Sleep and Epilepsy Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Elena Sinforiani
- Neuropsychology/Alzheimer's Disease Assessment Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Michele Terzaghi
- Sleep and Epilepsy Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Maria Grazia Arena
- Center for Cognitive Disorders and Dementias, Alzheimer's Disease Assessment Unit, UOC of Neurology and Neuromuscular Disorders, AOU Policlinico, ``G. Martino'', University of Messina, Messina, Italy
| | - Rosalia Silvestri
- Sleep Medicine Center, UOSD of Neurophysiopathology and Movement Disorders, AOU Policlinico ``G.~Martino'', Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Chiara La Morgia
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna Bologna, Italy
| | - Maria Caterina Di Perri
- Sleep Medicine Center, UOSD of Neurophysiopathology and Movement Disorders, AOU Policlinico ``G.~Martino'', Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Ferdinando Franzoni
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gloria Tognoni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michelangelo Mancuso
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Ubaldo Bonuccelli
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Ugo Faraguna
- SONNOLab, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Enrica Bonanni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| |
Collapse
|
2
|
Guarnieri B, Cerroni G, Sorbi S. Sleep disturbances and cognitive decline: recommendations on clinical assessment and the management. Arch Ital Biol 2016; 153:225-30. [PMID: 26742676 DOI: 10.12871/0003982920152347] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
In 2004, in Genoa (Italy), the Italian Dementia Research Association (SINDem) was born. The first congress of this new scientific society took place in Rome in 2006. SINDem soon recognized the importance to investigate sleep problems in cognitive decline and created a national "sleep study group "composed by neurologists and sleep specialists. In 2012, The SINDem study group, in close relationship with the Italian Association of sleep medicine (AIMS), published the study "Prevalence of sleep disturbances in mild cognitive impairment and dementing disorders: a multicenter Italian clinical cross-sectional study on 431 patients ", confirming the high prevalence of sleep disturbances in a wide Italian population of persons with cognitive decline. The study was supported by a grant from the Italian Minister of Health and was conducted with the fundamental contribution of the Italian National Research Center (CNR). In 2014, the same group published the paper "Recommendations of the Sleep Study Group of the Italian Dementia Research Association (SINDem) on clinical assessment and management of sleep disorders in individuals with mild cognitive impairment and dementia: a clinical review". The recommendations are wide and directed to professionals (neurologists but not exclusively) to try to establish uniform levels of care, promote collaborative studies into areas of uncertainty, and define the qualitative characteristics of Dementia Reference Centers about sleep disturbances.
Collapse
|
3
|
Fabbrini M, Aricà I, Tramonti F, Condurso R, Carnicelli L, De Rosa A, Di Perri C, Bonsignore MR, Zito A, Russo G, Pagliarulo MG, Guarnieri B, Cerroni G, Mennuni G, Della Marca G, Bonanni E, Silvestri R. Sleep disorders in menopause: results from an Italian Multicentric Study. Arch Ital Biol 2016; 153:204-13. [PMID: 26742674 DOI: 10.12871/0003982920152345] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Menopause in the female life cycle is a special period due to important hormonal, physical and psychological changes. Sleep disruption represents a common complaint for midlife and menopausal women, related to primary sleep disorders, including insomnia, sleep disordered breathing, restless legs syndrome (RLS), mood and anxiety disorder, other medical illness, hormonal-related vasomotor symptoms, and aging per se. Aims of our study were to evaluate the prevalence of sleep disorders in a sample of pre and post menopausal women, and to investigate the relationship between sleep and other medical disorders, and life habits. Among workers in the six participant centers, we enrolled 334 women, aged between 40 and 60 years, that completed a questionnaire that included screening on menarche, menstrual cycle, fertility, parity, menopause, life habits, personal medical and sleep history and related treatment, and self-administered scales for sleep quality (PSQI), excessive daytime sleepiness [Epworth Sleepiness Scale (ESS)], mood disorder [Beck Depression Inventory (BDI)], Berlin Questionnaire for sleep disordered breathing (SDB), IRLS diagnostic interview and Rating Scale. Menopausal and perimenopausal women showed an increased prevalence of poor sleep, high risk of SDB, and mood disorder; menopausal women also reported increased RLS severity. Mood disorder had a significant impact on night sleep measures and excessive daytime sleepiness, as well as on RLS severity, and had a greater prevalence in hypertensive women. Sleep disturbances are frequent in menopausal women. Their aetiology is unclear, but probably multifactorial, and many factors contribute to the sleep disruption. Our data suggest the importance of correctly investigate and address sleep problems associated with menopause, through sleep history, and a sleep study could be obtained if clinically warranted. Pharmacological and behavioural treatment strategies should then be aimed at improving sleep and life quality in perimenopausal and menopausal women.
Collapse
Affiliation(s)
- Monica Fabbrini
- Sleep Center, Department of Neurosciences, University of Pisa, Italy.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Comani S, Velluto L, Schinaia L, Cerroni G, Serio A, Buzzelli S, Sorbi S, Guarnieri B. Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept. IEEE Trans Neural Syst Rehabil Eng 2015; 23:1106-16. [PMID: 25910194 DOI: 10.1109/tnsre.2015.2425474] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Virtual Reality. The brain functional re-organization was monitored in association with motor patterns replicating activities of daily living (ADL). Patients underwent 13 rehabilitation sessions. At sessions 1, 7 and 13, clinical tests were administered to assess the level of motor impairment, and EEG was recorded during rehabilitation task execution. For each session and rehabilitation task, four kinematic indices of motor performance were calculated and compared with the outcome of clinical tests. Functional source maps were obtained from EEG data and projected on the real patients' anatomy (MRI data). Laterality indices were calculated for hemispheric dominance assessment. All patients showed increased participation in the rehabilitation process. Cortical activation changes during recovery were detected in relation to different motor patterns, hence verifying the system's suitability to add quantitative measures of motor performance and neural recovery to classical tests. We conclude that this system seems a promising tool for novel robot-based rehabilitation paradigms tailored to individual needs and neuro-motor responses of the patients.
Collapse
|
5
|
Guarnieri B, Musicco M, Caffarra P, Adorni F, Appollonio I, Arnaldi D, Bartoli A, Bonanni E, Bonuccelli U, Caltagirone C, Cerroni G, Concari L, Cosentino FII, Fermi S, Ferri R, Gelosa G, Lombardi G, Mearelli S, Nobili F, Passero S, Perri R, Rocchi R, Sucapane P, Tognoni G, Zabberoni S, Sorbi S. Recommendations of the Sleep Study Group of the Italian Dementia Research Association (SINDem) on clinical assessment and management of sleep disorders in individuals with mild cognitive impairment and dementia: a clinical review. Neurol Sci 2014; 35:1329-48. [PMID: 25037740 DOI: 10.1007/s10072-014-1873-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 06/26/2014] [Indexed: 02/02/2023]
Abstract
Clinical assessment and management of sleep disturbances in patients with mild cognitive impairment and dementia has important clinical and social implications. Poor sleep results in an increased risk of morbidities and mortality in demented patients and is a source of stress for caregivers. Sleep disturbances show high prevalence in mild cognitive impairment and dementia patients and they are often associated one to another in the same patient. A careful clinical evaluation of sleep disorders should be performed routinely in the clinical setting of individuals with cognitive decline. The Sleep Study Group of the Italian Dementia Research Association (SINDem) reviewed evidence from original research articles, meta-analyses and systematic reviews published up to December 2013. The evidence was classified in quality levels (I, II, III) and strength of recommendations (A, B, C, D, E). Where there was a lack of evidence, but clear consensus, good practice points were provided. These recommendations may not be appropriate for all circumstances and should therefore be adopted only after a patient's individual characteristics have been carefully evaluated.
Collapse
Affiliation(s)
- B Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Pescara, Italy,
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
6
|
Steinisch M, Tana M, Guarnieri B, Cerroni G, Serio A, Buzzelli S, Comani S. Combining a passive robotic device, virtual reality and high-resolution EEG for post-stroke neuro-motor rehabilitation. Neurophysiol Clin 2013. [DOI: 10.1016/j.neucli.2012.11.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
|
7
|
Guarnieri B, Adorni F, Musicco M, Appollonio I, Bonanni E, Caffarra P, Caltagirone C, Cerroni G, Concari L, Cosentino F, Ferrara S, Fermi S, Ferri R, Gelosa G, Lombardi G, Mazzei D, Mearelli S, Morrone E, Murri L, Nobili F, Passero S, Perri R, Rocchi R, Sucapane P, Tognoni G, Zabberoni S, Sorbi S. Prevalence of sleep disturbances in mild cognitive impairment and dementing disorders: a multicenter Italian clinical cross-sectional study on 431 patients. Dement Geriatr Cogn Disord 2012; 33:50-8. [PMID: 22415141 PMCID: PMC3696366 DOI: 10.1159/000335363] [Citation(s) in RCA: 212] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/23/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Sleep disturbances are common in the elderly and in persons with cognitive decline. The aim of this study was to describe frequency and characteristics of insomnia, excessive daytime sleepiness, sleep-disordered breathing, REM behavior disorder and restless legs syndrome in a large cohort of persons with mild cognitive impairment or dementia. METHODS 431 consecutive patients were enrolled in 10 Italian neurological centers: 204 had Alzheimer's disease, 138 mild cognitive impairment, 43 vascular dementia, 25 frontotemporal dementia and 21 Lewy body dementia or Parkinson's disease dementia. Sleep disorders were investigated with a battery of standardized questions and questionnaires. RESULTS Over 60% of persons had one or more sleep disturbances almost invariably associated one to another without any evident and specific pattern of co-occurrence. Persons with Alzheimer's disease and those with mild cognitive impairment had the same frequency of any sleep disorder. Sleep-disordered breathing was more frequent in vascular dementia. REM behavior disorder was more represented in Lewy body or Parkinson's disease dementia. CONCLUSION A careful clinical evaluation of sleep disorders should be performed routinely in the clinical setting of persons with cognitive decline. Instrumental supports should be used only in selected patients.
Collapse
Affiliation(s)
- B. Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Bicocca University, Milan,*Dr. Biancamaria Guarnieri, Center of Sleep Medicine, Villa Serena Hospital, Viale L. Petruzzi 42, IT–65013 Città S. Angelo (Italy), Tel. +39 08 5959 0237, E-Mail
| | - F. Adorni
- Italian National Research Center (ITB-CNR), Bicocca University, Milan
| | - M. Musicco
- Italian National Research Center (ITB-CNR), Bicocca University, Milan
| | - I. Appollonio
- Neuroscience Department, S. Gerardo Hospital Monza, Bicocca University, Milan
| | - E. Bonanni
- Neuroscience Department, University of Pisa, Pisa
| | - P. Caffarra
- Neuroscience Department, University of Parma, Parma
| | - C. Caltagirone
- Tor Vergata University, S. Lucia Foundation, IRCCS, Rome
| | - G. Cerroni
- Center of Sleep Medicine, Villa Serena Hospital, Città S. Angelo, Bicocca University, Milan
| | - L. Concari
- Neuroscience Department, University of Parma, Parma
| | | | - S. Ferrara
- Department of Neurology, Villa Serena Hospital, Città S. Angelo, Italy
| | - S. Fermi
- Neuroscience Department, S. Gerardo Hospital Monza, Bicocca University, Milan
| | - R. Ferri
- Department of Neurology, Oasi Institute IRCCS, Troina
| | - G. Gelosa
- Neuroscience Department, S. Gerardo Hospital Monza, Bicocca University, Milan
| | - G. Lombardi
- Department of Neurological and Psychiatric Sciences, University of Florence, Florence
| | - D. Mazzei
- Clinical Neurophysiology, Department of Neuroscience, Ophthalmology and Genetics, University of Genoa, Genoa
| | - S. Mearelli
- Department of Neurology, University of L’Aquila, L’Aquila
| | - E. Morrone
- Sleep Physiopathology, S. Martino Hospital, Genoa
| | - L. Murri
- Neuroscience Department, University of Pisa, Pisa
| | - F.M. Nobili
- Clinical Neurophysiology, Department of Neuroscience, Ophthalmology and Genetics, University of Genoa, Genoa
| | - S. Passero
- Neuroscience Department, University of Siena, Siena
| | - R. Perri
- S. Lucia Foundation, IRCCS, Rome
| | - R. Rocchi
- Neuroscience Department, University of Siena, Siena
| | - P. Sucapane
- Department of Neurology, University of L’Aquila, L’Aquila
| | - G. Tognoni
- Neuroscience Department, University of Pisa, Pisa
| | | | - S. Sorbi
- Department of Neurological and Psychiatric Sciences, University of Florence, Florence
| |
Collapse
|
8
|
Cerroni G, Tempesta D, Riccardi I, Stratta P, Struglia F, Rossi A. [Facial emotion recognition in schizofrenia and depression]. Epidemiol Psichiatr Soc 2007; 16:179-82. [PMID: 17619550 DOI: 10.1017/s1121189x00004814] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|