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Montoya-Pedrón A, Ocaña Montoya CM, Santos Toural JE, Acosta Lee T, Sánchez-Hechavarría ME, López-Galán E, Muñoz-Bustos GA. Contingent Negative Variation in the Evaluation of Neurocognitive Disorders Due to Possible Alzheimer's Disease. Neurol Int 2024; 16:126-138. [PMID: 38251056 PMCID: PMC10801563 DOI: 10.3390/neurolint16010008] [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: 10/14/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
The usefulness of Contingent Negative Variation (CNV) potential as a biomarker of neurocognitive disorders due to possible Alzheimer's disease, is based on its possible physiological correlates. However, its application in the diagnostic evaluation of these disorders is still incipient. The aim of this study is to characterize the patterns of cognitive processing of information in the domain of nonspecific global attention, by recording potential CNV in a group of patients with neurocognitive disorders due to possible Alzheimer's disease. An experimental study of cases and controls was carried out. The sample included 39 patients classified according to DSM-5 with a neurocognitive disorder subtype possibly due Alzheimer's disease, and a Control Group of 53 subjects with normal cognitive functions. CNV potential was registered using standard protocol. The analysis of variance obtained significant differences in mean values and confidence intervals of total CNV amplitude between the three study groups. The late CNV segment amplitudes makes it possible to discriminate between the level of mild and major dysfunction in the group of patients. The CNV total amplitudes of potential allows for effective discrimination between normal cognitive functioning and neurocognitive disorders due to possible Alzheimer's disease.
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Affiliation(s)
- Arquímedes Montoya-Pedrón
- Department of Clinical Neurophysiology, General Hospital “Dr. Juan Bruno Zayas Alfonso”, Santiago de Cuba 90100, Cuba
| | | | | | - Tania Acosta Lee
- Department of Clinical Neurophysiology, General Hospital “Dr. Juan Bruno Zayas Alfonso”, Santiago de Cuba 90100, Cuba
| | - Miguel Enrique Sánchez-Hechavarría
- Departamento de Ciencias Clínicas y Preclínicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción 4070129, Chile
- Núcleo Científico de Ciencias de la Salud, Facultad de Ciencias de la Salud, Universidad Adventista de Chile, Chillán 8320000, Chile
- Laboratorio de Psicología, Departamento de Psicología, Universidad de Concepción, Concepción 4070386, Chile
| | - Erislandis López-Galán
- Facultad de Medicina 2, Universidad de Ciencias Médicas de Santiago de Cuba, Santiago de Cuba 90100, Cuba;
| | - Gustavo Alejandro Muñoz-Bustos
- Escuela de Kinesiología, Facultad de Salud y Ciencias Sociales, Campus El Boldal, Sede Concepción, Universidad de Las Américas, Concepción 4030000, Chile
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Choi J, Lim E, Park MG, Cha W. Assessing the Retest Reliability of Prefrontal EEG Markers of Brain Rhythm Slowing in the Eyes-Closed Resting State. Clin EEG Neurosci 2020; 51:348-356. [PMID: 32253926 DOI: 10.1177/1550059420914832] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objective. We examined whether prefrontal lobe EEG markers of slower brain rhythms, which are correlated with functional brain aging, can reliably reflect those of other brain lobes, as measured by a multichannel device. Methods. EEG measurements were taken of 112 healthy individuals aged 20 to 69 years in the eyes-closed resting state. A 5-minute measurement was taken at 8 regions (Fp1, Fp2, F3, F4, T3, T4, O1, O2). Indices (median frequency [MDF], peak frequency [PF]) that quantitatively reflect the characteristics of EEG slowing, and traditional commonly used spectral indices (absolute powers as delta, theta, alpha, beta, and relative power as alpha-to-theta ratio [ATR]), were extracted from the EEG signals. For these indices, the differences between the prefrontal lobe and other areas were analyzed and the test-retest reproducibility was investigated. Results. The EEG slowing indicators showed high conformity over all brain lobes and stable reproducibility. On the other hand, the typical EEG spectral indicators delta, theta, alpha, beta, and ATR differed between brain regions. Conclusion. It was found that EEG slowing markers, which were used for assessing the aging or degeneration of brain functions, could be reliably extracted from a prefrontal EEG alone. Significance. These findings suggest that EEG prefrontal markers may reflect markers of other brain regions when a multi-channel device is used. Thus, this method may constitute a low-cost, wearable, wireless, easily accessible, and noninvasive tool for neurological assessment that could be used in the early detection of cognitive decline and in the prevention of dementia.
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Affiliation(s)
- Jungmi Choi
- Human Anti-Aging Standards Research Institute, Gyeongsangnam-do, Uiryeong-gun, Republic of Korea
| | - Eunjo Lim
- Human Anti-Aging Standards Research Institute, Gyeongsangnam-do, Uiryeong-gun, Republic of Korea
| | - Min-Goo Park
- Animal and Plant Quarantine Agency, Kimcheon-si, Gyeongsangbuk-do, Republic of Korea.,Kyeongsang national university, Jinju-si, Gyeongsangnam-do, Republic of Korea
| | - Wonseok Cha
- Human Anti-Aging Standards Research Institute, Gyeongsangnam-do, Uiryeong-gun, Republic of Korea
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Jackson J, Jambrina E, Li J, Marston H, Menzies F, Phillips K, Gilmour G. Targeting the Synapse in Alzheimer's Disease. Front Neurosci 2019; 13:735. [PMID: 31396031 PMCID: PMC6664030 DOI: 10.3389/fnins.2019.00735] [Citation(s) in RCA: 145] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 07/01/2019] [Indexed: 01/06/2023] Open
Abstract
Dynamic gain and loss of synapses is fundamental to healthy brain function. While Alzheimer's Disease (AD) treatment strategies have largely focussed on beta-amyloid and tau protein pathologies, the synapse itself may also be a critical endpoint to consider regarding disease modification. Disruption of mechanisms of neuronal plasticity, eventually resulting in a net loss of synapses, is implicated as an early pathological event in AD. Synaptic dysfunction therefore may be a final common biological mechanism linking protein pathologies to disease symptoms. This review summarizes evidence supporting the idea of early neuroplastic deficits being prevalent in AD. Changes in synaptic density can occur before overt neurodegeneration and should not be considered to uniformly decrease over the course of the disease. Instead, synaptic levels are influenced by an interplay between processes of degeneration and atrophy, and those of maintenance and compensation at regional and network levels. How these neuroplastic changes are driven by amyloid and tau pathology are varied. A mixture of direct effects of amyloid and tau on synaptic integrity, as well as indirect effects on processes such as inflammation and neuronal energetics are likely to be at play here. Focussing on the synapse and mechanisms of neuroplasticity as therapeutic opportunities in AD raises some important conceptual and strategic issues regarding translational research, and how preclinical research can inform clinical studies. Nevertheless, substrates of neuroplasticity represent an emerging complementary class of drug target that would aim to normalize synapse dynamics and restore cognitive function in the AD brain and in other neurodegenerative diseases.
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Affiliation(s)
- Johanna Jackson
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
| | - Enrique Jambrina
- Lilly Research Laboratories, Eli Lilly and Company, Alcobendas, Spain
| | - Jennifer Li
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
| | - Hugh Marston
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
| | - Fiona Menzies
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
| | - Keith Phillips
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
| | - Gary Gilmour
- Lilly Research Centre, Eli Lilly and Company, Windlesham, United Kingdom
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4
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Choi J, Ku B, You YG, Jo M, Kwon M, Choi Y, Jung S, Ryu S, Park E, Go H, Kim G, Cha W, Kim JU. Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals. Sci Rep 2019; 9:10468. [PMID: 31320666 PMCID: PMC6639387 DOI: 10.1038/s41598-019-46789-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 06/28/2019] [Indexed: 11/09/2022] Open
Abstract
We investigated whether cognitive decline could be explained by resting-state electroencephalography (EEG) biomarkers measured in prefrontal regions that reflect the slowing of intrinsic EEG oscillations. In an aged population dwelling in a rural community (total = 496, males = 165, females = 331), we estimated the global cognitive decline using the Mini-Mental State Examination (MMSE) and measured resting-state EEG parameters at the prefrontal regions of Fp1 and Fp2 in an eyes-closed state. Using a tertile split method, the subjects were classified as T3 (MMSE 28-30, N = 162), T2 (MMSE 25-27, N = 179), or T1 (MMSE ≤ 24, N = 155). The EEG slowing biomarkers of the median frequency, peak frequency and alpha-to-theta ratio decreased as the MMSE scores decreased from T2 to T1 for both sexes (-5.19 ≤ t-value ≤ -3.41 for males and -7.24 ≤ t-value ≤ -4.43 for females) after adjusting for age and education level. Using a double cross-validation procedure, we developed a prediction model for the MMSE scores using the EEG slowing biomarkers and demographic covariates of sex, age and education level. The maximum intraclass correlation coefficient between the MMSE scores and model-predicted values was 0.757 with RMSE = 2.685. The resting-state EEG biomarkers showed significant changes in people with early cognitive decline and correlated well with the MMSE scores. Resting-state EEG slowing measured in the prefrontal regions may be useful for the screening and follow-up of global cognitive decline in elderly individuals.
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Affiliation(s)
- Jungmi Choi
- Human Anti-Aging Standards Research Institute, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Boncho Ku
- Korea Institute of Oriental Medicine, Yusung-gu, Deajon, Republic of Korea
| | - Young Gooun You
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Miok Jo
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Minji Kwon
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Youyoung Choi
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Segyeong Jung
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Soyoung Ryu
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Eunjeong Park
- Uiryeong Community Health Center, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Hoyeon Go
- Semyung University, Jecheon-si, Chungcheongbuk-do, Republic of Korea
| | - Gahye Kim
- Korea Institute of Oriental Medicine, Yusung-gu, Deajon, Republic of Korea
| | - Wonseok Cha
- Human Anti-Aging Standards Research Institute, Uiryeong-gun, Gyeongsangnam-do, Republic of Korea
| | - Jaeuk U Kim
- Korea Institute of Oriental Medicine, Yusung-gu, Deajon, Republic of Korea.
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Uncensored EEG: The role of DC potentials in neurobiology of the brain. Prog Neurobiol 2018; 165-167:51-65. [PMID: 29428834 DOI: 10.1016/j.pneurobio.2018.02.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 12/24/2017] [Accepted: 02/03/2018] [Indexed: 12/11/2022]
Abstract
Brain direct current (DC) potentials denote sustained shifts and slow deflections of cerebral potentials superimposed with conventional electroencephalography (EEG) waves and reflect alterations in the excitation level of the cerebral cortex and subcortical structures. Using galvanometers, such sustained displacement of the EEG baseline was recorded in the early days of EEG recordings. To stabilize the EEG baseline and eliminate artefacts, EEG was performed later by voltage amplifiers with high-pass filters that dismiss slow DC potentials. This left slow DC potential recordings as a neglected diagnostic source in the routine clinical setting over the last few decades. Brain DC waves may arise from physiological processes or pathological phenomena. Recordings of DC potentials are fundamental electro-clinical signatures of some neurological and psychological disorders and may serve as diagnostic, prognostic, and treatment monitoring tools. We here review the utility of both physiological and pathological brain DC potentials in different aspects of neurological and psychological disorders. This may enhance our understanding of the role of brain DC potentials and improve our fundamental clinical and research strategies for brain disorders.
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Lista S, Molinuevo JL, Cavedo E, Rami L, Amouyel P, Teipel SJ, Garaci F, Toschi N, Habert MO, Blennow K, Zetterberg H, O'Bryant SE, Johnson L, Galluzzi S, Bokde ALW, Broich K, Herholz K, Bakardjian H, Dubois B, Jessen F, Carrillo MC, Aisen PS, Hampel H. Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline. J Alzheimers Dis 2016; 48 Suppl 1:S171-91. [PMID: 26402088 DOI: 10.3233/jad-150202] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
There is evolving evidence that individuals categorized with subjective cognitive decline (SCD) are potentially at higher risk for developing objective and progressive cognitive impairment compared to cognitively healthy individuals without apparent subjective complaints. Interestingly, SCD, during advancing preclinical Alzheimer's disease (AD), may denote very early, subtle cognitive decline that cannot be identified using established standardized tests of cognitive performance. The substantial heterogeneity of existing SCD-related research data has led the Subjective Cognitive Decline Initiative (SCD-I) to accomplish an international consensus on the definition of a conceptual research framework on SCD in preclinical AD. In the area of biological markers, the cerebrospinal fluid signature of AD has been reported to be more prevalent in subjects with SCD compared to healthy controls; moreover, there is a pronounced atrophy, as demonstrated by magnetic resonance imaging, and an increased hypometabolism, as revealed by positron emission tomography, in characteristic brain regions affected by AD. In addition, SCD individuals carrying an apolipoprotein ɛ4 allele are more likely to display AD-phenotypic alterations. The urgent requirement to detect and diagnose AD as early as possible has led to the critical examination of the diagnostic power of biological markers, neurophysiology, and neuroimaging methods for AD-related risk and clinical progression in individuals defined with SCD. Observational studies on the predictive value of SCD for developing AD may potentially be of practical value, and an evidence-based, validated, qualified, and fully operationalized concept may inform clinical diagnostic practice and guide earlier designs in future therapy trials.
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Affiliation(s)
- Simone Lista
- AXA Research Fund & UPMC Chair, Paris, France.,Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Jose L Molinuevo
- Alzheimers Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Enrica Cavedo
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France.,CATI Multicenter Neuroimaging Platform, France.,Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS Istituto Centro "San Giovanni diDio-Fatebenefratelli", Brescia, Italy
| | - Lorena Rami
- Alzheimers Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Philippe Amouyel
- Inserm, U1157, Lille, France.,Université de Lille, Lille, France.,Institut Pasteur de Lille, Lille, France.,Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Stefan J Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany & German Center forNeurodegenerative Diseases (DZNE) Rostock/Greifswald, Rostock, Germany
| | - Francesco Garaci
- Department of Diagnostic Imaging, Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of "Tor Vergata", Rome, Italy.,Department of Biomedicine and Prevention University of Rome "Tor Vergata", Rome, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention University of Rome "Tor Vergata", Rome, Italy.,Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Marie-Odile Habert
- Sorbonne Universités, UPMC Univ Paris 06, Inserm U 1146, CNRS UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, France.,AP-HP, Pitié-Salpêtrière Hospital, Nuclear Medicine Department, Paris, France
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,The Torsten Söderberg Professorship in Medicine at the Royal Swedish Academy of Sciences
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Sid E O'Bryant
- Institute for Aging and Alzheimer's Disease Research & Department of Internal Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Leigh Johnson
- Institute for Aging and Alzheimer's Disease Research & Department of Internal Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Samantha Galluzzi
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS Istituto Centro "San Giovanni diDio-Fatebenefratelli", Brescia, Italy
| | - Arun L W Bokde
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland.,Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Karl Broich
- President, Federal Institute of Drugs and Medical Devices (BfArM), Bonn, Germany
| | - Karl Herholz
- Institute of Brain, Behaviours and Mental Health, University of Manchester, Manchester, UK
| | - Hovagim Bakardjian
- IM2A - Institute of Memory and Alzheimer's Disease, IHU-A-ICM - Paris Institute of Translational Neurosciences, Pitié-Salpêtrière University Hospital, Paris, France
| | - Bruno Dubois
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Maria C Carrillo
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Paul S Aisen
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA∥
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France.,Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
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Chapman RM, Gardner MN, Mapstone M, Klorman R, Porsteinsson AP, Dupree HM, Antonsdottir IM, Kamalyan L. ERP C250 shows the elderly (cognitively normal, Alzheimer's disease) store more stimuli in short-term memory than Young Adults do. Clin Neurophysiol 2016; 127:2423-35. [PMID: 27178862 DOI: 10.1016/j.clinph.2016.03.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Revised: 02/15/2016] [Accepted: 03/04/2016] [Indexed: 01/12/2023]
Abstract
OBJECTIVE To determine how aging and dementia affect the brain's initial storing of task-relevant and irrelevant information in short-term memory. METHODS We used brain Event-Related Potentials (ERPs) to measure short-term memory storage (ERP component C250) in 36 Young Adults, 36 Normal Elderly, and 36 early-stage AD subjects. Participants performed the Number-Letter task, a cognitive paradigm requiring memory storage of a first relevant stimulus to compare it with a second stimulus. RESULTS In Young Adults, C250 was more positive for the first task-relevant stimulus compared to all other stimuli. C250 in Normal Elderly and AD subjects was roughly the same to relevant and irrelevant stimuli in Intratrial Parts 1-3 but not 4. The AD group had lower C250 to relevant stimuli in part 1. CONCLUSIONS Both normal aging and dementia cause less differentiation of relevant from irrelevant information in initial storage. There was a large aging effect involving differences in the pattern of C250 responses of the Young Adult versus the Normal Elderly/AD groups. Also, a potential dementia effect was obtained. SIGNIFICANCE C250 is a candidate tool for measuring short-term memory performance on a biological level, as well as a potential marker for memory changes due to normal aging and dementia.
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Affiliation(s)
- Robert M Chapman
- Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, United States.
| | - Margaret N Gardner
- Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, United States
| | - Mark Mapstone
- Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States
| | - Rafael Klorman
- Department of Clinical and Social Sciences in Psychology at the University of Rochester, Rochester, NY 14627, United States
| | - Anton P Porsteinsson
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States
| | - Haley M Dupree
- Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, United States
| | - Inga M Antonsdottir
- Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, United States
| | - Lily Kamalyan
- Department of Brain and Cognitive Sciences and Center for Visual Science at the University of Rochester, Rochester, NY 14627, United States
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8
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Chapman RM, Gardner MN, Mapstone M, Dupree HM, Antonsdottir IM. Memory timeline: Brain ERP C250 (not P300) is an early biomarker of short-term storage. Brain Res 2015; 1604:74-83. [PMID: 25641043 DOI: 10.1016/j.brainres.2015.01.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 01/17/2015] [Accepted: 01/20/2015] [Indexed: 10/24/2022]
Abstract
Brain event-related potentials (ERPs) offer a quantitative link between neurophysiological activity and cognitive performance. ERPs were measured while young adults performed a task that required storing a relevant stimulus in short-term memory. Using principal components analysis, ERP component C250 (maximum at 250 ms post-stimulus) was extracted from a set of ERPs that were separately averaged for various task conditions, including stimulus relevancy and stimulus sequence within a trial. C250 was more positive in response to task-specific stimuli that were successfully stored in short-term memory. This relationship between C250 and short-term memory storage of a stimulus was confirmed by a memory probe recall test where the behavioral recall of a stimulus was highly correlated with its C250 amplitude. ERP component P300 (and its subcomponents of P3a and P3b, which are commonly thought to represent memory operations) did not show a pattern of activation reflective of storing task-relevant stimuli. C250 precedes the P300, indicating that initial short-term memory storage may occur earlier than previously believed. Additionally, because C250 is so strongly predictive of a stimulus being stored in short-term memory, C250 may provide a strong index of early memory operations.
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Affiliation(s)
- Robert M Chapman
- Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Meliora Hall, Rochester, NY 14627, United States.
| | - Margaret N Gardner
- Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Meliora Hall, Rochester, NY 14627, United States
| | - Mark Mapstone
- Department of Neurology, University of Rochester Medical Center, 601 Elmwood Avenue, Box 673, Rochester, NY 14642, United States
| | - Haley M Dupree
- Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Meliora Hall, Rochester, NY 14627, United States
| | - Inga M Antonsdottir
- Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Meliora Hall, Rochester, NY 14627, United States
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9
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Chapman RM, Porsteinsson AP, Gardner MN, Mapstone M, McCrary JW, Sandoval TC, Guillily MD, Reilly LA, DeGrush E. The impact of AD drug treatments on event-related potentials as markers of disease conversion. Curr Alzheimer Res 2014; 10:732-41. [PMID: 23905997 DOI: 10.2174/15672050113109990148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Accepted: 07/17/2013] [Indexed: 11/22/2022]
Abstract
This paper investigates how commonly prescribed pharmacologic treatments for Alzheimer's disease (AD) affect Event-Related Potential (ERP) biomarkers as tools for predicting AD conversion in individuals with Mild Cognitive Impairment (MCI). We gathered baseline ERP data from two MCI groups (those taking AD medications and those not) and later determined which subjects developed AD (Convert->AD) and which subjects remained cognitively stable (Stable). We utilized a previously developed and validated multivariate system of ERP components to measure medication effects among these four subgroups. Discriminant analysis produced classification scores for each individual as a measure of similarity to each clinical group (Convert->AD, Stable), and we found a large significant main Group effect but no main AD Medications effect and no Group by Medications interaction. This suggested AD medications have negligible influence on this set of ERP components as weighted markers of disease progression. These results provide practical information to those using ERP measures as a biomarker to identify and track AD in individuals in a clinical or research setting.
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Affiliation(s)
- Robert M Chapman
- Department of Brain and Cognitive Sciences, 775 Library Road, University of Rochester, Rochester, NY 14627, USA.
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