Article
Clinical Neurology
Giorgio Leodori, Andrea Fabbrini, Antonio Suppa, Marco Mancuso, Sankalp Tikoo, Daniele Belvisi, Antonella Conte, Giovanni Fabbrini, Alfredo Berardelli
Summary: This study used TMS-EEG to assess the changes in effective connectivity of important regions of the visual network and dorsal attention network in DLB, PD, and PDD patients. The results showed that patients with visual hallucinations had less effective connectivity within the intraparietal sulcus of the DAN. This provides initial evidence for exploring the relationship between hallucinations and brain region dysfunction.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Psychology, Multidisciplinary
Sandro Iannaccone, Elise Houdayer, Alfio Spina, Gianluca Nocera, Federica Alemanno
Summary: This study investigated the use of electroencephalography quantified with statistical pattern recognition (qEEG-SPR) as a tool for diagnosing dementia and differentiating dementia with Lewy bodies (DLB). The results showed that qEEG-SPR had high sensitivity and specificity for identifying dementia and DLB. It is a non-invasive, low-cost, and environmentally friendly method that can be implemented in healthcare settings.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Essam Abdellatef, Heba M. Emara, Mohamed R. Shoaib, Fatma E. Ibrahim, Mohamed Elwekeil, Walid El-Shafai, Taha E. Taha, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Ibrahim M. Eldokany, Fathi E. Abd El-Samie
Summary: This paper presents two approaches for EEG signal classification: one using machine learning tools and the other using a CNN-based residual learning model. Both approaches are evaluated on the CHB-MIT dataset and show promising results for seizure detection and prediction.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2023)
Review
Public, Environmental & Occupational Health
Jui-Hung Hsu, Chien-Cheng Liu, I-Wen Chen, Jheng-Yan Wu, Po-Yu Huang, Ting-Hui Liu, Kuo-Chuan Hung
Summary: The visual cognitive assessment test (VCAT) is a language-neutral screening tool for detecting MCI/mild dementia. This meta-analysis showed that VCAT demonstrated acceptable diagnostic accuracy in distinguishing MCI/mild dementia in cognitively normal older adults.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Clinical Neurology
Zaineb Ajra, Binbin Xu, Gerard Dray, Jacky Montmain, Stephane Perrey
Summary: The study proposes the use of shallow neural networks to analyze EEG signals in order to diagnose dementia at an early stage. The results show that the CNN-based models outperformed conventional methods and achieved an accuracy of 94.54% in the test dataset.
FRONTIERS IN NEUROLOGY
(2023)
Review
Computer Science, Artificial Intelligence
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios Tsalikakis, Markos G. Tsipouras
Summary: Alzheimer's Disease (AD) is a neurodegenerative disorder that can be diagnosed through various clinical procedures, with recent focus on analyzing electrophysiological dynamics. Most studies reviewed in this paper concentrate on AD detection and the correlation of quantitative EEG features with AD progression, often utilizing Support Vector Machines.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Mesut Seker, Yagmur Ozbek, Gorsev Yener, Mehmet Sirac Ozerdem
Summary: This study aims to develop a three-way diagnostic classification for the detection of MCI/AD using EEG complexity analysis. Results show that PE values are lower in AD and higher in HC group, while MCI group falls in an intermediate state. Classification using multinomial logistic regression model indicates that eyes-open condition enhances discrimination of MCI and AD.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Clinical Neurology
Olalla Urdanibia-Centelles, Rikke M. Nielsen, Egill Rostrup, Esben Vedel-Larsen, Kirsten Thomsen, Miki Nikolic, Birger Johnsen, Kirsten Moller, Martin Lauritzen, Krisztina Benedek
Summary: This study compared visual and automatic cEEG analysis for delirium diagnosis in septic patients. Automatic cEEG analysis revealed delirium-related features, but visual analysis had slightly higher classification accuracy. Automatic cEEG analysis provides additional information for delirium diagnosis.
CLINICAL NEUROPHYSIOLOGY
(2021)
Review
Ophthalmology
Tai Anh Vu, Eva K. Fenwick, Alfred T. L. Gan, Ryan E. K. Man, Benjamin K. J. Tan, Preeti Gupta, Kam Chun Ho, Carlos A. Reyes-Ortiz, Stella Trompet, Jacobijn Gussekloo, Joan M. O'Brien, Sigrid Mueller-Schotte, Tien Yin Wong, Yih Chung Tham, Ching-Yu Cheng, Allen T. C. Lee, Greta Rait, Bonnielin K. Swenor, Varshini Varadaraj, Willa D. Brenowitz, Felipe A. Medeiros, Virginie Nael, Kaavya Narasimhalu, Christopher L. H. Chen, Ecosse L. Lamoureux
Summary: The results of the systematic review and meta-analysis confirmed that individuals with visual impairment were more likely to have cognitive impairment, while those with cognitive impairment were more likely to have visual impairment. Factors such as age, sex, and follow-up duration partially explained the significant heterogeneity in the associations between visual impairment and cognitive impairment.
Article
Behavioral Sciences
Giovanni Zorzi, Michel Thiebaut de Schotten, Renzo Manara, Cinzia Busse, Maurizio Corbetta, Annachiara Cagnin
Summary: The study found that patients with visual hallucinations in dementia with Lewy bodies showed alterations in the microstructural and functional connectivity of the ventral fiber tracts in the right hemisphere, which were associated with the severity of visual hallucinations and performance in visual attention tasks.
Article
Chemistry, Multidisciplinary
Gabriela Gonzalez-Gonzalez, Victor M. Velasco-Herrera, Alicia Ortega-Aguilar
Summary: Covariance analysis from wavelet data in EEG was applied to unravel previously unnoticed information in standard EEG recordings. Results indicated abnormal brainwave activity in PD patients, with different patterns emerging as age increases.
APPLIED SCIENCES-BASEL
(2021)
Article
Geriatrics & Gerontology
Matej Perovnik, An Vo, Nha Nguyen, Jan Jamsek, Tomaz Rus, Chris C. C. Tang, Maja Trost, David Eidelberg
Summary: This study aimed to differentiate common dementia syndromes using machine learning classifiers based on FDG PET-derived features, and showed that classifiers based on metabolic brain patterns and ROI glucose uptake had higher diagnostic accuracy compared to experts.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Gopika K. Gopan, S. V. R. Aditya Reddy, Madhav Rao, Neelam Sinha
Summary: This study examines the potential of using EEG technology to assess levels of visual creativity. Through various tasks and analysis methods, the study achieved classification results for different levels of creativity and found that chaos analysis showed higher accuracy in classification.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Neurosciences
Lin Lawrence Guo, Yazan Shamli Oghli, Adam Frost, Matthias Niemeier
Summary: The study used multivariate EEG analysis to investigate human grasping and found that grasp computations do not strictly proceed in a canonical hierarchical manner, evolving from visual to motor representations that distinguish between effectors. The results emphasize the importance of fine temporal resolution for a comprehensive understanding of human grasp control.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Jorne Laton, Jeroen Van Schependom, Joery Goossens, Wietse Wiels, Anne Sieben, Peter Paul De Deyn, Johan Goeman, Johannes Streffer, Julie van der Zee, Jean-Jacques Martin, Christine Van Broeckhoven, Maarten De Vos, Maria Bjerke, Guy Nagels, Sebastiaan Engelborghs
Summary: This study investigates the utility of EEG-based biomarkers in comparison to established CSF biomarkers in differentiating between AD and FTLD. Results show that combining EEG with CSF biomarkers significantly improves diagnostic accuracy, and also identifies differences in dominant EEG frequencies.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Pediatrics
Charlotte van't Westende, Sylke J. Steggerda, Lisette Jansen, Annette A. van den Berg-huysmans, Laura A. van de Pol, Francisca T. Wiggers-de Bruine, Cornelis J. Stam, Cacha M. P. C. D. Peeters-Scholte
Summary: This study investigates the relationship between motor outcome and advanced MRI and EEG measures in preterm born children at school age. The results show that ventricular volume and relative upper alpha power on EEG are independently associated with motor outcome, indicating a lasting interplay between brain structure and function underlying adverse motor outcome.
PEDIATRIC RESEARCH
(2022)
Article
Geriatrics & Gerontology
Yoni C. P. Sep, Anna E. Leeuwis, Lieza G. Exalto, Jooske M. Boomsma, Niels D. Prins, Jurre H. Verwer, Philip Scheltens, Wiesje M. van der Flier, Geert Jan Biessels, TRACE-VCI study group Behalf TRACE VCI Study Grp
Summary: This study examines the association between neuropsychiatric symptoms (NPS) and clinical outcomes in memory clinic patients with possible Vascular Cognitive Impairment (VCI). The findings reveal that NPS are common in this patient group and are associated with institutionalization, mortality, and cognitive deterioration. The association between NPS and clinical outcomes varies depending on the severity of cognitive impairment.
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY
(2022)
Article
Pharmacology & Pharmacy
Anne Catrien Baakman, Carmen Gavan, Lotte van Doeselaar, Marieke de Kam, Karen Broekhuizen, Ovidiu Bajenaru, Laura Camps, Eleonora L. Swart, Kees Kalisvaart, Niki Schoonenboom, Evelien Lemstra, Philip Scheltens, Adam Cohen, Joop van Gerven, Geert Jan Groeneveld
Summary: This study investigates the acute pharmacodynamic effects of galantamine in AD patients and finds that the acute changes in CNS functioning after a single dose of galantamine can predict long-term treatment response.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2022)
Article
Neurosciences
Linda Douw, Ida A. Nissen, Sophie M. D. D. Fitzsimmons, Fernando A. N. Santos, Arjan Hillebrand, Elisabeth C. W. van Straaten, Cornelis J. Stam, Philip C. De Witt Hamer, Johannes C. Baayen, Martin Klein, Jaap C. Reijneveld, Djai B. Heyer, Matthijs B. Verhoog, Rene Wilbers, Sarah Hunt, Huibert D. Mansvelder, Jeroen J. G. Geurts, Christiaan P. J. de Kock, Natalia A. Goriounova
Summary: This study investigates the cellular substrates of functional network integration in patients with temporal lobe epilepsy (TLE). The findings show that functional network centrality is related to memory performance and cellular integrative properties. These findings provide insights into the focal pathology and network disturbances in TLE.
Article
Clinical Neurology
Agnetha D. Fruijtier, Jetske van der Schaar, Ingrid S. van Maurik, Marissa D. Zwan, Philip Scheltens, Femke Bouwman, Yolande A. L. Pijnenburg, Bart N. M. van Berckel, Jarith Ebenau, Wiesje M. van der Flier, Ellen M. A. Smets, Leonie N. C. Visser
Summary: This study investigated the impact of six communication strategies on amyloid disclosure in mild cognitive impairment (MCI) patients. It found that risk communication best practices resulted in the highest information recall, while recall in emotional support was better than the basic and elaborate information strategies. Risk communication best practices also led to the highest uncertainty, while teach-back and emotional support contributed to the highest evaluations of the physician and information. Overall, risk communication best practices, attending to emotions, and teach-back techniques enhance information recall and contribute to positive care evaluations for amyloid-PET results.
ALZHEIMERS & DEMENTIA
(2023)
Article
Health Care Sciences & Services
Mark A. Dubbelman, Caroline B. Terwee, Merike Verrijp, Leonie N. C. Visser, Philip Scheltens, Sietske A. M. Sikkes
Summary: The study established clinically meaningful scoring categories for the Amsterdam IADL questionnaire, providing guidance for clinicians to interpret scores and communicate with patients and caregivers effectively.
HEALTH AND QUALITY OF LIFE OUTCOMES
(2022)
Article
Neurosciences
Janne J. Luppi, Deborah N. Schoonhoven, Anne M. van Nifterick, Alida A. Gouw, Arjan Hillebrand, Philip Scheltens, Cornelis J. Stam, Willem de Haan
Summary: This study detected oscillatory abnormalities of the hippocampus in prodromal AD patients using MEG technology. Hippocampus-based classification performed better than cortex-based classification, which may improve early detection of AD-related neuronal dysfunction.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Correction
Clinical Neurology
Lennard I. iii Boon, Wouter V. Potters, Thomas J. C. Zoon, Odile A. van den Heuvel, Naomi Prent, Rob M. A. de Bie, Maarten Bot, P. Richard Schuurman, Pepijn Van den Munckhof, Cornelis J. Stam, Arjan Hillebrand, Gert J. Geurtsen, Anne-Fleur van Rootselaar, Henk W. Berendse
Article
Endocrinology & Metabolism
Fiona Heeman, Denise Visser, Maqsood Yaqub, Sander Verfaillie, Tessa Timmers, Yolande A. L. Pijnenburg, Wiesje M. van der Flier, Bart N. M. van Berckel, Ronald Boellaard, Adriaan A. Lammertsma, Sandeep S. Golla
Summary: Alzheimer's disease is characterized by reduced cerebral blood flow. This study compared the precision of different methods for measuring cerebral blood flow and found that relative blood flow methods had better repeatability than absolute blood flow methods. The high precision of relative blood flow may be due to a compensatory effect of the extraction fraction.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2023)
Article
Geriatrics & Gerontology
Eva Y. L. Tan, Niels Janssen, Ron Handels, Inez H. G. B. Ramakers, Frans R. J. Verhey, Wiesje M. van der Flier, Rene J. F. Melis, Marcel G. M. Olde Rikkert, Jos M. G. A. Schols, Marjolein E. de Vugt
Summary: The objective of this study was to investigate the health-related quality of life (HRQol) of family caregivers of individuals with mild cognitive impairment (MCI), and to explore possible determinants and differences compared to caregivers of individuals with mild dementia. The study found no significant difference in HRQoL between family caregivers of individuals with MCI and mild dementia. However, caregiver characteristics, such as being a spouse and having a lower educational level, were associated with lower HRQoL.
AGING & MENTAL HEALTH
(2023)
Article
Multidisciplinary Sciences
Emily Baker, Ganna Leonenko, Karl Michael Schmidt, Matthew Hill, Amanda J. Myers, Maryam Shoai, Itziar de Rojas, Niccolo Tesi, Henne Holstege, Wiesje M. van der Flier, Yolande A. L. Pijnenburg, Agustin Ruiz, John Hardy, Sven van der Lee, Valentina Escott-Price
Summary: Late-onset Alzheimer's disease has a strong genetic component, and the heritability estimates range from 38% to 66%. The APOE region and microglial-related genes play important roles in the genetic architecture of the disease.
Editorial Material
Clinical Neurology
Wiesje M. van der Flier, Betty M. Tijms
NATURE REVIEWS NEUROLOGY
(2023)
Article
Clinical Neurology
Yanaika S. S. Hok-A-Hin, Katharina Bolsewig, Daimy N. N. Ruiters, Alberto Lleo, Daniel Alcolea, Afina W. W. Lemstra, Wiesje M. M. van der Flier, Charlotte E. E. Teunissen, Marta del Campo
Summary: Our study showed that THOP1 can serve as an early specific biomarker for Alzheimer's Disease (AD). We developed THOP1 immunoassays and validated our findings in two independent cohorts.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2023)
Article
Cell Biology
Wiesje M. van der Flier, Marjolein E. de Vugt, Ellen M. A. Smets, Marco Blom, Charlotte E. Teunissen
Summary: Alzheimer's disease is a significant healthcare challenge with no current cure. This perspective proposes a strategy to shift the focus towards the pre-dementia stages and invest in personalized medicine for diagnosis, prediction and prevention. It suggests empowering patients and the public to actively participate in managing their health and disease, and developing improved strategies for early intervention.
Article
Clinical Neurology
Aniek M. M. van Gils, Leonie N. C. Visser, Heleen M. A. Hendriksen, Jean Georges, Wiesje M. M. van der Flier, Hanneke F. M. Rhodius-Meester
Summary: This study aimed to develop a personalized diagnostic report through a mixed-methods approach, involving surveys and focus group discussions with patients and care partners. The majority of participants valued the diagnostic report for summarizing test results in a brief and straightforward manner, including brain imaging and future expectations. Co-creation was identified as highly valuable in meeting the specific needs of end-users during the iterative design process.
ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING
(2022)