1
|
Boyle LD, Giriteka L, Marty B, Sandgathe L, Haugarvoll K, Steihaug OM, Husebo BS, Patrascu M. Activity and Behavioral Recognition Using Sensing Technology in Persons with Parkinson's Disease or Dementia: An Umbrella Review of the Literature. SENSORS (BASEL, SWITZERLAND) 2025; 25:668. [PMID: 39943307 PMCID: PMC11820304 DOI: 10.3390/s25030668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 01/10/2025] [Accepted: 01/20/2025] [Indexed: 02/16/2025]
Abstract
BACKGROUND With a progressively aging global population, the prevalence of Parkinson's Disease and dementia will increase, thus multiplying the healthcare burden worldwide. Sensing technology can complement the current measures used for symptom management and monitoring. The aim of this umbrella review is to provide future researchers with a synthesis of the current methodologies and metrics of sensing technologies for the management and monitoring of activities and behavioral symptoms in older adults with neurodegenerative disease. This is of key importance when considering the rapid obsolescence of and potential for future implementation of these technologies into real-world healthcare settings. METHODS Seven medical and technical databases were searched for systematic reviews (2018-2024) that met our inclusion/exclusion criteria. Articles were screened independently using Rayyan. PRISMA guidelines, the Cochrane Handbook for Systematic Reviews, and the Johanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews were utilized for the assessment of bias, quality, and research synthesis. A narrative synthesis combines the study findings. RESULTS After screening 1458 articles, 9 systematic reviews were eligible for inclusion, synthesizing 402 primary studies. This umbrella review reveals that the use of sensing technologies for the observation and management of activities and behavioral symptoms is promising, however diversely applied, heterogenous in the methods used, and currently challenging to apply within clinical settings. CONCLUSIONS Human activity and behavioral recognition requires true interdisciplinary collaborations between engineering, data science, and healthcare domains. The standardization of metrics, ethical AI development, and a culture of research-friendly technology and support are the next crucial developments needed for this rising field.
Collapse
Affiliation(s)
- Lydia D. Boyle
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
- Neuro-SysMed, Department of Clinical Medicine, University of Bergen, Jonas vei 65, 5021 Bergen, Norway;
- Helse Vest, Helse Bergen HF, Haukeland Universitetssjukehus, Postboks 1400, 5021 Bergen, Norway
| | - Lionel Giriteka
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
| | - Brice Marty
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
- Neuro-SysMed, Department of Clinical Medicine, University of Bergen, Jonas vei 65, 5021 Bergen, Norway;
| | - Lucas Sandgathe
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
- Department of Orthopedic Surgery, Voss Hospital, Sjukehusvegen 16, 5704 Voss, Norway
| | - Kristoffer Haugarvoll
- Neuro-SysMed, Department of Clinical Medicine, University of Bergen, Jonas vei 65, 5021 Bergen, Norway;
- Helse Vest, Helse Bergen HF, Haukeland Universitetssjukehus, Postboks 1400, 5021 Bergen, Norway
- Department of Neurology, Haukeland University Hospital, Haukelandsveien 22, 2009 Bergen, Norway
| | - Ole Martin Steihaug
- Department of Internal Medicine, Haraldsplass Deaconess Hospital, Ulriksdal 8, 5009 Bergen, Norway;
| | - Bettina S. Husebo
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
- Neuro-SysMed, Department of Clinical Medicine, University of Bergen, Jonas vei 65, 5021 Bergen, Norway;
| | - Monica Patrascu
- Centre for Elderly and Nursing Home Medicine, Department of Global Public Health and Primary Care, University of Bergen, Årstadveien 17, 5009 Bergen, Norway; (L.G.); (B.M.); (B.S.H.)
- Neuro-SysMed, Department of Clinical Medicine, University of Bergen, Jonas vei 65, 5021 Bergen, Norway;
- Complex Systems Laboratory, University Politehnica of Bucharest, Splaiul Independentei 313, 060042 Bucharest, Romania
| |
Collapse
|
2
|
Kiselica AM, Lin SSH, Ranum R, Mikula CM, Hermann G, Boone A, Scullin M, Mechanic-Hamilton D, Wolf T, Stevens A, Benge JF. The Technology in Caring Questionnaire: Development and Psychometric Properties. Alzheimer Dis Assoc Disord 2024; 38:77-84. [PMID: 38277628 PMCID: PMC10922679 DOI: 10.1097/wad.0000000000000604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 12/18/2023] [Indexed: 01/28/2024]
Abstract
OBJECTIVE We developed the Technology in Caring Questionnaire (TCQ) to assess the use of technology-based strategies by dementia caregivers. METHODS One hundred caregivers completed a survey that included TCQ items along with measures of technology proficiency and patient and caregiver-centered outcomes. RESULTS The final 34-item TCQ scale had adequate to excellent internal consistency (raw Cronbach alpha = 0.75; standardized Cronbach alpha = 0.95; Guttman lambda-6 = 0.97). TCQ scores demonstrated modest convergent associations with scores from measures of smartphone ( r = 0.265, P < 0.01) and computer proficiency ( r = 0.230, P < 0.05) but a strong association with overall technology experience scores ( r = 0.578, P < 0.001). Elevated TCQ scores were associated with reduced informant-reported cognitive symptoms ( B = -0.003, P < 0.05), increased ability of caregivers to find support and information ( B = 0.03, P < 0.001), and increased direct care strain ( B = 0.03, P < 0.05), after controlling for dementia severity and demographics. CONCLUSION The TCQ has good psychometric properties for the assessment of technology-based care strategies among dementia caregivers. Findings imply that the use of technologies may aid in symptom management and finding support and information but may also increase caregiver strain.
Collapse
Affiliation(s)
| | | | - Rylea Ranum
- Department of Psychology, University of Houston—Austin
| | - Cynthia M. Mikula
- New York State Psychiatric Institute, Columbia University Irving Medical Center—Austin
| | - Greta Hermann
- Department of Health Psychology, University of Missouri—Austin
| | - Anna Boone
- Department of Occupational Therapy, University of Missouri—Austin
| | - Michael Scullin
- Department of Psychology & Neuroscience, Baylor University—Austin
| | | | - Timothy Wolf
- Department of Occupational Therapy, University of Missouri—Austin
| | - Alan Stevens
- Center for Applied Health Research, Baylor Scott and White Health—Austin
| | - Jared F. Benge
- Department of Neurology and Mulva Clinic for the Neurosciences, University of Texas—Austin
| |
Collapse
|
3
|
Cho E, Yang M, Jang J, Cho J, Kang B, Jang Y, Kim MJ. A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users' acceptability. Digit Health 2024; 10:20552076241249277. [PMID: 38698833 PMCID: PMC11064751 DOI: 10.1177/20552076241249277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 04/08/2024] [Indexed: 05/05/2024] Open
Abstract
Objective: Non-pharmacological interventions are considered the first-line treatment for behavioral and psychological symptoms of dementia (BPSD); however, traditional approaches have shown only small effect sizes. Mobile technology offers an opportunity to improve BPSD assessment and management in people living with dementia (PLWD). We aimed (1) to develop a mobile application (app) featuring a real-time BPSD diary, machine-learning-based BPSD prediction, and individualized non-pharmacological care programs, including therapeutic use of music and reminiscent content, and (2) to test its usability, acceptability, and preliminary efficacy among PLWD and caregivers. Methods: An Android-based app was developed through the following three phases: (1) needs assessment, (2) software development and initial testing with experts, and (3) beta-testing with end users who were dyads of PLWD and caregivers. The preliminary efficacy, usability, and acceptability of the app were assessed using validated BPSD questionnaires and face-to-face interviews with the dyads. Logs of the dyads' program participation (i.e., types, time, and duration), BPSD diaries, and engagement levels of PLWD were also collected through the app. Results: Five dyads created BPSD diaries (range: 22-48) over 3 weeks. Overall, the BPSD symptoms decreased after the beta-testing period. Each dyad participated in the care programs for 106-204 min, during which music alone was most frequently used. Engagement levels ranged from 3.38 to 4.94 (out of 5). Conclusions: The app was deemed usable, acceptable, and feasible for PLWD and caregivers. The upgraded app will be further tested and can be easily implemented at home or in the community.
Collapse
Affiliation(s)
- Eunhee Cho
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea
| | - Minhee Yang
- College of Nursing and Brain Korea 21 FOUR Project, Yonsei University, Seoul, Korea
| | - Jiyoon Jang
- College of Nursing and Brain Korea 21 FOUR Project, Yonsei University, Seoul, Korea
| | - Jungwon Cho
- College of Nursing, Yonsei University, Seoul, Korea
| | - Bada Kang
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Korea
| | | | - Min Jung Kim
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea
- College of Nursing, Gachon University, Seoul, Korea
| |
Collapse
|
4
|
Lancioni GE, Desideri L, Singh NN, O'Reilly MF, Sigafoos J, De Caro MF, Taurisano P. Use of technology to sustain mobility in older people with cognitive impairment and dementia: a scoping review. Disabil Rehabil Assist Technol 2023; 18:635-649. [PMID: 33751919 DOI: 10.1080/17483107.2021.1900935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE This paper provides a review of studies that evaluated technology devices to sustain various forms of mobility in older people with cognitive impairment or dementia and mobility problems (e.g., inability to ambulate or difficulties to orient with consequent failures to reach relevant destinations). METHODS A literature search was performed for English language articles indexed in PubMed, PsycINFO, and Web of Science. This search was then supplemented with an ancestral and forward search. The search covered the period ranging between January 2010 and October 2020. RESULTS Twenty-seven articles were included in the review. They were divided into four groups according to whether they aimed to promote (a) supported ambulation, (b) use of safe power wheelchair, (c) ambulation guided by orientation cues, and (d) ambulation with GPS-based assistance. The studies were coded in terms of the objective pursued, technology used, participants involved, strategies applied to assess the technology, and outcome reported. CONCLUSION A variety of technology devices are available to address the mobility problems of older people with cognitive impairment or dementia. The devices' accessibility and usability differ widely. Data on their impact are still largely preliminary and new systematic research is needed.IMPLICATIONS FOR REHABILITATIONA variety of mobility problems may afflict older people with cognitive impairment or dementia and curtail their opportunities to freely move indoor or outdoor.Technology devices have been developed to (a) promote forms of supported ambulation, (b) facilitate safe use of power wheelchairs, (c) deliver orientation/navigation cues, and (d) ensure tracking and possible assistance.The technology devices differ in terms of accessibility and affordability, with some of them readily available and others at a developmental stage.Data on the effectiveness of the various technology devices in reducing the impact of the mobility problems are still largely preliminary and new systematic research is needed.
Collapse
Affiliation(s)
- Giulio E Lancioni
- Department of Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | | | - Nirbhay N Singh
- Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Mark F O'Reilly
- Department of Special Education, University of Texas at Austin, Austin, TX, USA
| | - Jeff Sigafoos
- School of Education, Victoria University of Wellington, Wellington, New Zealand
| | - Maria F De Caro
- Department of Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | - Paolo Taurisano
- Department of Neuroscience and Sense Organs, University of Bari, Bari, Italy
| |
Collapse
|
5
|
Prieto-Avalos G, Sánchez-Morales LN, Alor-Hernández G, Sánchez-Cervantes JL. A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases. BIOSENSORS 2022; 13:72. [PMID: 36671907 PMCID: PMC9856141 DOI: 10.3390/bios13010072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/24/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and social environments. One strategy to mitigate the pain of NDDs is to early identify and remotely monitor related motor impairments using wearable devices. Technological progress has contributed to reducing the hardware complexity of mobile devices while simultaneously improving their efficiency in terms of data collection and processing and energy consumption. However, perhaps the greatest challenges of current mobile devices are to successfully manage the security and privacy of patient medical data and maintain reasonable costs with respect to the traditional patient consultation scheme. In this work, we conclude: (1) Falls are most monitored for Parkinson's disease, while tremors predominate in epilepsy and Alzheimer's disease. These findings will provide guidance for wearable device manufacturers to strengthen areas of opportunity that need to be addressed, and (2) Of the total universe of commercial wearables devices that are available on the market, only a few have FDA approval, which means that there is a large number of devices that do not safeguard the integrity of the users who use them.
Collapse
Affiliation(s)
- Guillermo Prieto-Avalos
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - Laura Nely Sánchez-Morales
- CONACYT-Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - Giner Alor-Hernández
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - José Luis Sánchez-Cervantes
- CONACYT-Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| |
Collapse
|
6
|
Huisman C, Huisman E, Kort H. Technological Applications Contributing to Relieve Care Burden or to Sleep of Caregivers and People With Dementia: A Scoping Review From the Perspective of Social Isolation. Front Public Health 2022; 10:797176. [PMID: 35425752 PMCID: PMC9002108 DOI: 10.3389/fpubh.2022.797176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/09/2022] [Indexed: 12/04/2022] Open
Abstract
The need for care will increase in the coming years. Most people with a disability or old age receive support from an informal caregiver. Caring for a person with dementia can be difficult because of the BPSD (Behavioral and Psychological Symptoms of Dementia). BPSD, including sleep disturbance, is an important factor for a higher care load. In this scoping review, we aim to investigate whether technology is available to support the informal caregiver, to lower the care burden, improve sleep quality, and therefore influence the reduction of social isolation of informal caregivers of people with dementia. A scoping review is performed following the methodological framework by Arksey and O'Mally and Rumrill et al., the scoping review includes scientific and other sources (unpublished literature, websites, reports, etc.). The findings of the scoping review shows that there are technology applications available to support the informal caregiver of a person with dementia. The technology applications mostly contribute to lower the care burden and/or improve sleep quality and therefore may contribute to reduce social isolation. The technology applications found target either the person with dementia, the informal caregiver, or both.
Collapse
Affiliation(s)
- Chantal Huisman
- Research Group Technology for Healthcare Innovations, Research Center Healthy and Sustainable Living, University of Applied Science Utrecht, Utrecht, Netherlands
| | - Emelieke Huisman
- Research Group Technology for Healthcare Innovations, Research Center Healthy and Sustainable Living, University of Applied Science Utrecht, Utrecht, Netherlands
| | - Helianthe Kort
- Research Group Technology for Healthcare Innovations, Research Center Healthy and Sustainable Living, University of Applied Science Utrecht, Utrecht, Netherlands
- Building Healthy Environments for Future Users Group, Department of the Built Environment, Eindhoven University of Technology, Eindhoven, Netherlands
| |
Collapse
|
7
|
Anderson MS, Bankole A, Homdee N, Mitchell BA, Byfield GE, Lach J. Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study. JMIR Aging 2021; 4:e30353. [PMID: 34874886 PMCID: PMC8691404 DOI: 10.2196/30353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/14/2021] [Accepted: 09/26/2021] [Indexed: 01/26/2023] Open
Abstract
Background Caregiver burden associated with dementia-related agitation is one of the most common reasons for a community-dwelling person living with dementia to transition to a care facility. The Behavioral and Environmental Sensing and Intervention (BESI) for the Dementia Caregiver Empowerment system uses sensing technology, smartwatches, tablets, and data analytics to detect and predict agitation in persons living with dementia and to provide just-in-time notifications and dyad-specific intervention recommendations to caregivers. The BESI system has shown that there is a valid relationship between dementia-related agitation and environmental factors and that caregivers prefer a home-based monitoring system. Objective The aim of this study is to obtain input from caregivers of persons living with dementia on the value, usability, and acceptability of the BESI system in the home setting and obtain their insights and recommendations for the next stage of system development. Methods A descriptive qualitative design with thematic analysis was used to analyze 10 semistructured interviews with caregivers. The interviews comprised 16 questions, with an 80% (128/160) response rate. Results Postdeployment caregiver feedback about the BESI system and the overall experience were generally positive. Caregivers acknowledged the acceptability of the system by noting the ease of use and saw the system as a fit for them. Functionality issues such as timeliness in agitation notification and simplicity in the selection of agitation descriptors on the tablet interface were identified, and caregivers indicated a desire for more word options to describe agitation behaviors. Agitation intervention suggestions were well received by the caregivers, and the resulting decrease in the number and severity of agitation events helped confirm that the BESI system has good value and acceptability. Thematic analysis suggested several subjective experiences and yielded the themes of usefulness and helpfulness. Conclusions This study determined preferences for assessing caregiver strain and burden, explored caregiver acceptance of the technology system (in-home sensors, actigraph or smart watch technology, and tablet devices), discerned caregiver insights on the burden and stress of caring for persons living with dementia experiencing agitation in dementia, and solicited caregiver input and recommendations for system changes. The themes of usefulness and helpfulness support the use of caregiver knowledge and experience to inform further development of the technology.
Collapse
Affiliation(s)
- Martha Smith Anderson
- Department of Health Care Innovation and Implementation Science, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
| | - Azziza Bankole
- Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
| | - Nutta Homdee
- Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand
| | - Brook A Mitchell
- Virginia Tech Carilion School of Medicine, Roanoke, VA, United States
| | - Grace E Byfield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - John Lach
- Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, United States
| |
Collapse
|
8
|
Carrarini C, Russo M, Dono F, Barbone F, Rispoli MG, Ferri L, Di Pietro M, Digiovanni A, Ajdinaj P, Speranza R, Granzotto A, Frazzini V, Thomas A, Pilotto A, Padovani A, Onofrj M, Sensi SL, Bonanni L. Agitation and Dementia: Prevention and Treatment Strategies in Acute and Chronic Conditions. Front Neurol 2021; 12:644317. [PMID: 33935943 PMCID: PMC8085397 DOI: 10.3389/fneur.2021.644317] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 03/12/2021] [Indexed: 01/11/2023] Open
Abstract
Agitation is a behavioral syndrome characterized by increased, often undirected, motor activity, restlessness, aggressiveness, and emotional distress. According to several observations, agitation prevalence ranges from 30 to 50% in Alzheimer's disease, 30% in dementia with Lewy bodies, 40% in frontotemporal dementia, and 40% in vascular dementia (VaD). With an overall prevalence of about 30%, agitation is the third most common neuropsychiatric symptoms (NPS) in dementia, after apathy and depression, and it is even more frequent (80%) in residents of nursing homes. The pathophysiological mechanism underlying agitation is represented by a frontal lobe dysfunction, mostly involving the anterior cingulate cortex (ACC) and the orbitofrontal cortex (OFC), respectively, meaningful in selecting the salient stimuli and subsequent decision-making and behavioral reactions. Furthermore, increased sensitivity to noradrenergic signaling has been observed, possibly due to a frontal lobe up-regulation of adrenergic receptors, as a reaction to the depletion of noradrenergic neurons within the locus coeruleus (LC). Indeed, LC neurons mainly project toward the OFC and ACC. These observations may explain the abnormal reactivity to weak stimuli and the global arousal found in many patients who have dementia. Furthermore, agitation can be precipitated by several factors, e.g., the sunset or low lighted environments as in the sundown syndrome, hospitalization, the admission to nursing residencies, or changes in pharmacological regimens. In recent days, the global pandemic has increased agitation incidence among dementia patients and generated higher distress levels in patients and caregivers. Hence, given the increasing presence of this condition and its related burden on society and the health system, the present point of view aims at providing an extensive guide to facilitate the identification, prevention, and management of acute and chronic agitation in dementia patients.
Collapse
Affiliation(s)
- Claudia Carrarini
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Fedele Dono
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Filomena Barbone
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Marianna G Rispoli
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Laura Ferri
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Martina Di Pietro
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Anna Digiovanni
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Paola Ajdinaj
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Rino Speranza
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Alberto Granzotto
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology-CAST, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Institute for Mind Impairments and Neurological Disorders-iMIND, University of California, Irvine, Irvine, CA, United States
| | - Valerio Frazzini
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology-CAST, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Institut du Cerveau et de la Moelle épinière, ICM, INSERM UMRS 1127, CNRS UMR 7225, Pitié Salpêtrière Hospital, Paris, France.,AP-HP, GH Pitie-Salpêtrière-Charles Foix, Epilepsy Unit and Neurophysiology Department, Paris, France
| | - Astrid Thomas
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Parkinson's Disease Rehabilitation Centre, FERB ONLUS-S. Isidoro Hospital, Trescore Balneario, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology-CAST, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology-CAST, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Laura Bonanni
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.,Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology-CAST, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| |
Collapse
|