1
|
Jellinger KA. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms. J Neural Transm (Vienna) 2024; 131:871-899. [PMID: 38761183 DOI: 10.1007/s00702-024-02786-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/08/2024] [Indexed: 05/20/2024]
Abstract
Multiple sclerosis (MS) is an autoimmune-mediated disease of the central nervous system characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of clinical symptoms, cognitive impairment (CI) is a common and disabling feature greatly affecting the patients' quality of life. Its prevalence is 20% up to 88% with a wide variety depending on the phenotype of MS, with highest frequency and severity in primary progressive MS. Involving different cognitive domains, CI is often associated with depression and other neuropsychiatric symptoms, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. While no specific neuropathological data for CI in MS are available, modern research has provided evidence that it arises from the disease-specific brain alterations. Multimodal neuroimaging, besides structural changes of cortical and deep subcortical gray and white matter, exhibited dysfunction of fronto-parietal, thalamo-hippocampal, default mode and cognition-related networks, disruption of inter-network connections and involvement of the γ-aminobutyric acid (GABA) system. This provided a conceptual framework to explain how aberrant pathophysiological processes, including oxidative stress, mitochondrial dysfunction, autoimmune reactions and disruption of essential signaling pathways predict/cause specific disorders of cognition. CI in MS is related to multi-regional patterns of cerebral disturbances, although its complex pathogenic mechanisms await further elucidation. This article, based on systematic analysis of PubMed, Google Scholar and Cochrane Library, reviews current epidemiological, clinical, neuroimaging and pathogenetic evidence that could aid early identification of CI in MS and inform about new therapeutic targets and strategies.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
| |
Collapse
|
2
|
Seo D, So JM, Kim J, Jung H, Jang I, Kim H, Kang DW, Lim YM, Choi J, Lee EJ. Digital symbol-digit modalities test with modified flexible protocols in patients with CNS demyelinating diseases. Sci Rep 2024; 14:14649. [PMID: 38918552 PMCID: PMC11199480 DOI: 10.1038/s41598-024-65486-3] [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: 02/02/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024] Open
Abstract
Cognitive impairment (CI) is prevalent in central nervous system demyelinating diseases, such as multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD). We developed a novel tablet-based modified digital Symbol Digit Modalities Test (MD-SDMT) with adjustable protocols that feature alternating symbol-digit combinations in each trial, lasting one or two minutes. We assessed 144 patients (99 with MS and 45 with NMOSD) using both MD-SDMT protocols and the traditional paper-based SDMT. We also gathered participants' feedback through a questionnaire regarding their preferences and perceived reliability. The results showed strong correlations between MD-SDMT and paper-based SDMT scores (Pearsons correlation: 0.88 for 2 min; 0.85 for 1 min, both p < 0.001). Among the 120 respondents, the majority preferred the digitalized SDMT (55% for the 2 min, 39% for the 1 min) over the paper-based version (6%), with the 2 min MD-SDMT reported as the most reliable test. Notably, patients with NMOSD and older individuals exhibited a preference for the paper-based test, as compared to those with MS and younger patients. In summary, even with short test durations, the digitalized SDMT effectively evaluates cognitive function in MS and NMOSD patients, and is generally preferred over the paper-based method, although preferences may vary with patient characteristics.
Collapse
Affiliation(s)
- Dayoung Seo
- AMIST, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Jeong Min So
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Jiyon Kim
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Heejae Jung
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Inhye Jang
- AMIST, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Hyunjin Kim
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Dong-Wha Kang
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Young-Min Lim
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea
| | - Jaesoon Choi
- Biomedical Engineering, University of Ulsan College of Medicine, Seoul, 05505, South Korea.
| | - Eun-Jae Lee
- AMIST, University of Ulsan College of Medicine, Seoul, 05505, South Korea.
- Department of Neurology, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea.
- Translational Biomedical Research Group, Asan Medical Center, University of Ulsan, Seoul, 05505, South Korea.
| |
Collapse
|
3
|
Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia MA, Brichetto G. Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study. JMIR Form Res 2024; 8:e56074. [PMID: 38900535 PMCID: PMC11224705 DOI: 10.2196/56074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Mobile health (mHealth) apps have proven useful for people with multiple sclerosis (MS). Thus, easy-to-use digital solutions are now strongly required to assess and monitor cognitive impairment, one of the most disturbing symptoms in MS that is experienced by almost 43% to 70% of people with MS. Therefore, we developed DIGICOG-MS (Digital assessment of Cognitive Impairment in Multiple Sclerosis), a smartphone- and tablet-based mHealth app to self-assess cognitive impairment in MS. OBJECTIVE This study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS. METHODS DIGICOG-MS includes 4 digital tests assumed to evaluate the most affected cognitive domains in MS (visuospatial memory [VSM], verbal memory [VM], semantic fluency [SF], and information processing speed [IPS]) and inspired by traditional paper-based tests that assess the same cognitive functions (10/36 Spatial Recall Test, Rey Auditory Verbal Learning Test, Word List Generation, Symbol Digit Modalities Test). Participants were asked to complete both digital and traditional assessments in 2 separate sessions. Convergent validity was analyzed using the Pearson correlation coefficient to determine the strength of the associations between digital and traditional tests. To test the app's reliability, the agreement between 2 repeated measurements was assessed using intraclass correlation coefficients (ICCs). Usability of DIGICOG-MS was evaluated using the System Usability Scale (SUS) and mHealth App Usability Questionnaire (MAUQ) administered at the conclusion of the digital session. RESULTS The final sample consisted of 92 people with MS (60 women) followed as outpatients at the Italian Multiple Sclerosis Society (AISM) Rehabilitation Service of Genoa (Italy). They had a mean age of 51.38 (SD 11.36) years, education duration of 13.07 (SD 2.74) years, disease duration of 12.91 (SD 9.51) years, and a disability level (Expanded Disability Status Scale) of 3.58 (SD 1.75). Relapsing-remitting MS was most common (68/92, 74%), followed by secondary progressive (15/92, 16%) and primary progressive (9/92, 10%) courses. Pearson correlation analyses indicated significantly strong correlations for VSM, VM, SF, and IPS (all P<.001), with r values ranging from 0.58 to 0.78 for all cognitive domains. Test-retest reliability of the mHealth app was excellent (ICCs>0.90) for VM and IPS and good for VSM and SF (ICCs>0.80). Moreover, the SUS score averaged 84.5 (SD 13.34), and the mean total MAUQ score was 104.02 (SD 17.69), suggesting that DIGICOG-MS was highly usable and well appreciated. CONCLUSIONS The DIGICOG-MS tests were strongly correlated with traditional paper-based evaluations. Furthermore, people with MS positively evaluated DIGICOG-MS, finding it highly usable. Since cognitive impairment poses major limitations for people with MS, these findings open new paths to deploy digital cognitive tests for MS and further support the use of a novel mHealth app for cognitive self-assessment by people with MS in clinical practice.
Collapse
Affiliation(s)
- Jessica Podda
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Andrea Tacchino
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Michela Ponzio
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Federica Di Antonio
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Alessia Susini
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Ludovico Pedullà
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Mario Alberto Battaglia
- Department of Physiopathology, Experimental Medicine and Public Health, University of Siena, Siena, Italy
| | - Giampaolo Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| |
Collapse
|
4
|
Zanto TP, Giannakopoulou A, Gallen CL, Ostrand AE, Younger JW, Anguera-Singla R, Anguera JA, Gazzaley A. Digital rhythm training improves reading fluency in children. Dev Sci 2024; 27:e13473. [PMID: 38193394 DOI: 10.1111/desc.13473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/10/2024]
Abstract
Musical instrument training has been linked to improved academic and cognitive abilities in children, but it remains unclear why this occurs. Moreover, access to instrument training is not always feasible, thereby leaving less fortunate children without opportunity to benefit from such training. Although music-based video games may be more accessible to a broader population, research is lacking regarding their benefits on academic and cognitive performance. To address this gap, we assessed a custom-designed, digital rhythm training game as a proxy for instrument training to evaluate its ability to engender benefits in math and reading abilities. Furthermore, we tested for changes in core cognitive functions related to math and reading to inform how rhythm training may facilitate improved academic abilities. Classrooms of 8-9 year old children were randomized to receive either 6 weeks of rhythm training (N = 32) or classroom instruction as usual (control; N = 21). Compared to the control group, results showed that rhythm training improved reading, but not math, fluency. Assessments of cognition showed that rhythm training also led to improved rhythmic timing and language-based executive function (Stroop task), but not sustained attention, inhibitory control, or working memory. Interestingly, only the improvements in rhythmic timing correlated with improvements in reading ability. Together, these results provide novel evidence that a digital platform may serve as a proxy for musical instrument training to facilitate reading fluency in children, and that such reading improvements are related to enhanced rhythmic timing ability and not other cognitive functions associated with reading performance. RESEARCH HIGHLIGHTS: Digital rhythm training in the classroom can improve reading fluency in 8-9 year old children Improvements in reading fluency were positively correlated with enhanced rhythmic timing ability Alterations in reading fluency were not predicted by changes in other executive functions that support reading A digital platform may be a convenient and cost-effective means to provide musical rhythm training, which in turn, can facilitate academic skills.
Collapse
Affiliation(s)
- Theodore P Zanto
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
| | | | - Courtney L Gallen
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
| | - Avery E Ostrand
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
| | - Jessica W Younger
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
| | - Roger Anguera-Singla
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
| | - Joaquin A Anguera
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
- Department of Psychiatry, University of California-San Francisco, San Francisco, California, USA
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
- Neuroscape, University of California-San Francisco, San Francisco, California, USA
- Department of Psychiatry, University of California-San Francisco, San Francisco, California, USA
- Department of Physiology, University of California-San Francisco, San Francisco, California, USA
| |
Collapse
|
5
|
Ferreira VR, Metting E, Schauble J, Seddighi H, Beumeler L, Gallo V. eHealth tools to assess the neurological function for research, in absence of the neurologist - a systematic review, part I (software). J Neurol 2024; 271:211-230. [PMID: 37847293 PMCID: PMC10770248 DOI: 10.1007/s00415-023-12012-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/15/2023] [Accepted: 09/16/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Neurological disorders remain a worldwide concern due to their increasing prevalence and mortality, combined with the lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological disorders will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. METHODS Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on the development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here. FINDINGS A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait and coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for smartphone device, with the remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection. INTERPRETATION The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools were low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. FUNDING The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired.
Collapse
Affiliation(s)
- Vasco Ribeiro Ferreira
- Department of Sustainable Health, University of Groningen, Campus Fryslân, Wirdumerdijk 34, 8911 CE, Leeuwarden, The Netherlands.
| | - Esther Metting
- Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands
- University Medical College Groningen, Groningen, The Netherlands
| | - Joshua Schauble
- Department of Knowledge Infrastructure, University of Groningen, Campus Fryslân, Leeuwarden, The Netherlands
| | - Hamed Seddighi
- Department of Sustainable Health, University of Groningen, Campus Fryslân, Wirdumerdijk 34, 8911 CE, Leeuwarden, The Netherlands
- Department of Psychology, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
| | - Lise Beumeler
- Department of Sustainable Health, University of Groningen, Campus Fryslân, Wirdumerdijk 34, 8911 CE, Leeuwarden, The Netherlands
- Department of Intensive Care, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | - Valentina Gallo
- Department of Sustainable Health, University of Groningen, Campus Fryslân, Wirdumerdijk 34, 8911 CE, Leeuwarden, The Netherlands
| |
Collapse
|
6
|
Jones KT, Ostrand AE, Gazzaley A, Zanto TP. Enhancing cognitive control in amnestic mild cognitive impairment via at-home non-invasive neuromodulation in a randomized trial. Sci Rep 2023; 13:7435. [PMID: 37156876 PMCID: PMC10167304 DOI: 10.1038/s41598-023-34582-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 05/03/2023] [Indexed: 05/10/2023] Open
Abstract
Individuals with multi-domain amnestic mild cognitive impairment (md-aMCI) have an elevated risk of dementia and need interventions that may retain or remediate cognitive function. In a feasibility pilot study, 30 older adults aged 60-80 years with md-aMCI were randomized to 8 sessions of transcranial alternating current stimulation (tACS) with simultaneous cognitive control training (CCT). The intervention took place within the participant's home without direct researcher assistance. Half of the participants received prefrontal theta tACS during CCT and the other half received control tACS. We observed high tolerability and adherence for at-home tACS + CCT. Within 1-week, only those who received theta tACS exhibited improved attentional abilities. Neuromodulation is feasible for in-home settings, which can be conducted by the patient, thereby enabling treatment in difficult to reach populations. TACS with CCT may facilitate cognitive control abilities in md-aMCI, but research in a larger population is needed to validate efficacy.
Collapse
Affiliation(s)
- Kevin T Jones
- Department of Neurology, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA.
- Neuroscape, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA.
- Sandler Neurosciences Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA.
| | - Avery E Ostrand
- Department of Neurology, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
- Neuroscape, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
- Neuroscape, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
- Departments of Physiology and Psychiatry, University of California-San Francisco, 675 18th St, San Francisco, CA, 94143, USA
| | - Theodore P Zanto
- Department of Neurology, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
- Neuroscape, University of California-San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA
| |
Collapse
|