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Katayama O, Stern Y, Habeck C, Lee S, Harada K, Makino K, Tomida K, Morikawa M, Yamaguchi R, Nishijima C, Misu Y, Fujii K, Kodama T, Shimada H. Neurophysiological markers in community-dwelling older adults with mild cognitive impairment: an EEG study. Alzheimers Res Ther 2023; 15:217. [PMID: 38102703 PMCID: PMC10722716 DOI: 10.1186/s13195-023-01368-6] [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: 09/26/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Neurodegeneration and structural changes in the brain due to amyloid deposition have been observed even in individuals with mild cognitive impairment (MCI). EEG measurement is considered an effective tool because it is noninvasive, has few restrictions on the measurement environment, and is simple and easy to use. In this study, we investigated the neurophysiological characteristics of community-dwelling older adults with MCI using EEG. METHODS Demographic characteristics, cognitive function, physical function, resting-state MRI and electroencephalogram (rs-EEG), event-related potentials (ERPs) during Simon tasks, and task proportion of correct responses and reaction times (RTs) were obtained from 402 healthy controls (HC) and 47 MCI participants. We introduced exact low-resolution brain electromagnetic tomography-independent component analysis (eLORETA-ICA) to assess the rs-EEG network in community-dwelling older adults with MCI. RESULTS A lower proportion of correct responses to the Simon task and slower RTs were observed in the MCI group (p < 0.01). Despite no difference in brain volume between the HC and MCI groups, significant decreases in dorsal attention network (DAN) activity (p < 0.05) and N2 amplitude of ERP (p < 0.001) were observed in the MCI group. Moreover, DAN activity demonstrated a correlation with education (Rs = 0.32, p = 0.027), global cognitive function (Rs = 0.32, p = 0.030), and processing speed (Rs = 0.37, p = 0.010) in the MCI group. The discrimination accuracy for MCI with the addition of the eLORETA-ICA network ranged from 0.7817 to 0.7929, and the area under the curve ranged from 0.8492 to 0.8495. CONCLUSIONS The eLORETA-ICA approach of rs-EEG using noninvasive and relatively inexpensive EEG demonstrates specific changes in elders with MCI. It may provide a simple and valid assessment method with few restrictions on the measurement environment and may be useful for early detection of MCI in community-dwelling older adults.
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Affiliation(s)
- Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan.
- Japan Society for the Promotion of Science, Chiyoda-Ku, Tokyo, 102-0083, Japan.
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
- Department of Physical Therapy, Graduate School of Health Sciences, Kyoto Tachibana University, 34 Yamada-Cho, Oyake, Yamashina-Ku, Kyoto, 607-8175, Japan.
| | - Yaakov Stern
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Christian Habeck
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Kouki Tomida
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Masanori Morikawa
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Ryo Yamaguchi
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Chiharu Nishijima
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Yuka Misu
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Kazuya Fujii
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
| | - Takayuki Kodama
- Department of Physical Therapy, Graduate School of Health Sciences, Kyoto Tachibana University, 34 Yamada-Cho, Oyake, Yamashina-Ku, Kyoto, 607-8175, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-Cho, Obu City, Aichi, 474-8511, Japan
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Chu KT, Lei WC, Wu MH, Fuh JL, Wang SJ, French IT, Chang WS, Chang CF, Huang NE, Liang WK, Juan CH. A holo-spectral EEG analysis provides an early detection of cognitive decline and predicts the progression to Alzheimer's disease. Front Aging Neurosci 2023; 15:1195424. [PMID: 37674782 PMCID: PMC10477374 DOI: 10.3389/fnagi.2023.1195424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023] Open
Abstract
Aims Our aim was to differentiate patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) from cognitively normal (CN) individuals and predict the progression from MCI to AD within a 3-year longitudinal follow-up. A newly developed Holo-Hilbert Spectral Analysis (HHSA) was applied to resting state EEG (rsEEG), and features were extracted and subjected to machine learning algorithms. Methods A total of 205 participants were recruited from three hospitals, with CN (n = 51, MMSE > 26), MCI (n = 42, CDR = 0.5, MMSE ≥ 25), AD1 (n = 61, CDR = 1, MMSE < 25), AD2 (n = 35, CDR = 2, MMSE < 16), and AD3 (n = 16, CDR = 3, MMSE < 16). rsEEG was also acquired from all subjects. Seventy-two MCI patients (CDR = 0.5) were longitudinally followed up with two rsEEG recordings within 3 years and further subdivided into an MCI-stable group (MCI-S, n = 36) and an MCI-converted group (MCI-C, n = 36). The HHSA was then applied to the rsEEG data, and features were extracted and subjected to machine-learning algorithms. Results (a) At the group level analysis, the HHSA contrast of MCI and different stages of AD showed augmented amplitude modulation (AM) power of lower-frequency oscillations (LFO; delta and theta bands) with attenuated AM power of higher-frequency oscillations (HFO; beta and gamma bands) compared with cognitively normal elderly controls. The alpha frequency oscillation showed augmented AM power across MCI to AD1 with a reverse trend at AD2. (b) At the individual level of cross-sectional analysis, implementation of machine learning algorithms discriminated between groups with good sensitivity (Sen) and specificity (Spec) as follows: CN elderly vs. MCI: 0.82 (Sen)/0.80 (Spec), CN vs. AD1: 0.94 (Sen)/0.80 (Spec), CN vs. AD2: 0.93 (Sen)/0.90 (Spec), and CN vs. AD3: 0.75 (Sen)/1.00 (Spec). (c) In the longitudinal MCI follow-up, the initial contrasted HHSA between MCI-S and MCI-C groups showed significantly attenuated AM power of alpha and beta band oscillations. (d) At the individual level analysis of longitudinal MCI groups, deploying machine learning algorithms with the best seven features resulted in a sensitivity of 0.9 by the support vector machine (SVM) classifier, with a specificity of 0.8 yielded by the decision tree classifier. Conclusion Integrating HHSA into EEG signals and machine learning algorithms can differentiate between CN and MCI as well as also predict AD progression at the MCI stage.
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Affiliation(s)
- Kwo-Ta Chu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Yang-Ming Hospital, Taoyuan, Taiwan
| | - Weng-Chi Lei
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan, Taiwan
| | - Ming-Hsiu Wu
- Division of Neurology, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
- Department of Long-Term Care and Health Promotion, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan
| | - Jong-Ling Fuh
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shuu-Jiun Wang
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Isobel T. French
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Central University and Academia Sinica, Taipei, Taiwan
| | - Wen-Sheng Chang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
| | - Chi-Fu Chang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
| | - Norden E. Huang
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan, Taiwan
- Key Laboratory of Data Analysis and Applications, First Institute of Oceanography, SOA, Qingdao, China
| | - Wei-Kuang Liang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan, Taiwan
| | - Chi-Hung Juan
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan, Taiwan
- Department of Psychology, Kaohsiung Medical University, Kaohsiung, Taiwan
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Giustiniani A, Danesin L, Bozzetto B, Macina A, Benavides-Varela S, Burgio F. Functional changes in brain oscillations in dementia: a review. Rev Neurosci 2023; 34:25-47. [PMID: 35724724 DOI: 10.1515/revneuro-2022-0010] [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: 02/01/2022] [Accepted: 05/16/2022] [Indexed: 01/11/2023]
Abstract
A growing body of evidence indicates that several characteristics of electroencephalography (EEG) and magnetoencephalography (MEG) play a functional role in cognition and could be linked to the progression of cognitive decline in some neurological diseases such as dementia. The present paper reviews previous studies investigating changes in brain oscillations associated to the most common types of dementia, namely Alzheimer's disease (AD), frontotemporal degeneration (FTD), and vascular dementia (VaD), with the aim of identifying pathology-specific patterns of alterations and supporting differential diagnosis in clinical practice. The included studies analysed changes in frequency power, functional connectivity, and event-related potentials, as well as the relationship between electrophysiological changes and cognitive deficits. Current evidence suggests that an increase in slow wave activity (i.e., theta and delta) as well as a general reduction in the power of faster frequency bands (i.e., alpha and beta) characterizes AD, VaD, and FTD. Additionally, compared to healthy controls, AD exhibits alteration in latencies and amplitudes of the most common event related potentials. In the reviewed studies, these changes generally correlate with performances in many cognitive tests. In conclusion, particularly in AD, neurophysiological changes can be reliable early markers of dementia.
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Affiliation(s)
| | - Laura Danesin
- IRCCS San Camillo Hospital, via Alberoni 70, 30126 Venice, Italy
| | | | - AnnaRita Macina
- Department of Developmental Psychology and Socialization, University of Padua, via Venezia 8, 35131 Padova, Italy
| | - Silvia Benavides-Varela
- Department of Developmental Psychology and Socialization, University of Padua, via Venezia 8, 35131 Padova, Italy.,Department of Neuroscience, University of Padova, 35128 Padova, Italy.,Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
| | - Francesca Burgio
- IRCCS San Camillo Hospital, via Alberoni 70, 30126 Venice, Italy
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4
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Hidisoglu E, Kantar D, Ozdemir S, Yargicoglu P. Cognitive dysfunctions and spontaneous EEG alterations induced by hippocampal amyloid pathology in rats. Adv Med Sci 2022; 67:328-337. [PMID: 36058175 DOI: 10.1016/j.advms.2022.08.003] [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: 03/19/2022] [Revised: 06/13/2022] [Accepted: 08/17/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE We aimed to determine the effects of different doses of amyloid-beta (Aβ) peptide on learning and memory, and whether the changes in brain oscillations induced by dose-dependent accumulation of Aβ could be used as biomarkers to detect early stages of Alzheimer's disease (AD). MATERIAL AND METHODS Male albino Wistar rats aged 3 months were randomly divided into four groups (n = 12/group) obtained by i. h. Injection (to the dorsal hippocampus) of saline or different doses of 0.01 μg/μl, 0.1 μg/μl, and 1 μg/μl of Aβ. After two weeks of recovery period, open field and novel object recognition tests were performed and spontaneous EEG recordings were obtained. Later, hippocampus tissues were collected for Western blot and ELISA analysis. RESULTS A significant decrement in recognition memory was observed in 0.1 μg/μl, and 1 μg/μl injected groups. In addition, Aβ accumulation induced significant decrement of the expression of NeuN, SNAP-25, SYP, and PSD-95 proteins, and led to the increment of GFAP expression in hippocampus. Moreover, we detected remarkable alterations in spontaneous brain activity. The hippocampal Aβ levels were negatively correlated with hippocampal gamma power and positively correlated with hippocampal theta power. Also, we observed significant changes in coherence values, indicating the functional connectivity between different brain regions, after the accumulation of Aβ. Especially, there was a significant correlation between changes in frontohippocampal theta coherence and in frontotemporal theta coherence. CONCLUSIONS Our findings indicate that Aβ peptide induces AD-like molecular changes at certain doses, and these changes could be detected by evaluating brain oscillations.
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Affiliation(s)
- Enis Hidisoglu
- Department of Drug Science and Technology, Turin University, Corso Raffaello 30, 10125, Torino, Italy; Akdeniz University Faculty of Medicine Department of Biophysics, Antalya, Turkey.
| | - Deniz Kantar
- Akdeniz University Faculty of Medicine Department of Biophysics, Antalya, Turkey
| | - Semir Ozdemir
- Akdeniz University Faculty of Medicine Department of Biophysics, Antalya, Turkey
| | - Piraye Yargicoglu
- Akdeniz University Faculty of Medicine Department of Biophysics, Antalya, Turkey
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5
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Research on Top Archer’s EEG Microstates and Source Analysis in Different States. Brain Sci 2022; 12:brainsci12081017. [PMID: 36009079 PMCID: PMC9405655 DOI: 10.3390/brainsci12081017] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/08/2022] [Accepted: 07/28/2022] [Indexed: 01/25/2023] Open
Abstract
The electroencephalograph (EEG) microstate is a method used to describe the characteristics of the EEG signal through the brain scalp electrode potential’s spatial distribution; as such, it reflects the changes in the brain’s functional state. The EEGs of 13 elite archers from China’s national archery team and 13 expert archers from China’s provincial archery team were recorded under the alpha rhythm during the resting state (with closed eyes) and during archery aiming. By analyzing the differences between the EEG microstate parameters and the correlation between these parameters with archery performance, as well as by combining our findings through standardized low-resolution brain electromagnetic tomography source analysis (sLORETA), we explored the changes in the neural activity of professional archers of different levels, under different states. The results of the resting state study demonstrated that the duration, occurrence, and coverage in microstate D of elite archers were significantly higher than those of expert archers and that their other microstates had the greatest probability of transferring to microstate D. During the archery aiming state, the average transition probability of the other microstates transferring to microstate in the left temporal region was the highest observed in the two groups of archers. Moreover, there was a significant negative correlation between the duration and coverage of microstates in the frontal region of elite archers and their archery performance. Our findings indicate that elite archers are more active in the dorsal attention system and demonstrate a higher neural efficiency during the resting state. When aiming, professional archers experience an activation of brain regions associated with archery by suppressing brain regions unrelated to archery tasks. These findings provide a novel theoretical basis for the study of EEG microstate dynamics in archery and related cognitive motor tasks, particularly from the perspective of the subject’s mental state.
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Neuronavigated Magnetic Stimulation combined with cognitive training for Alzheimer's patients: an EEG graph study. GeroScience 2021; 44:159-172. [PMID: 34970718 DOI: 10.1007/s11357-021-00508-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/21/2021] [Indexed: 10/19/2022] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder in elderly subjects. Recent studies verified the effects of cognitive training combined with repetitive transcranial magnetic stimulation (rTMS-COG) in AD patients. Here, we analyzed neuropsychological and neurophysiological data, derived from electroencephalography (EEG), to evaluate the effects of a 6-week protocol of rTMS-COG in 72 AD. We designed a randomized, double-blind, sham-controlled trial to evaluate efficacy of rTMS on 6 brain regions obtained by an individual MRI combined with COG related to brain areas to stimulate (i.e., syntax and grammar tasks, comprehension of lexical meaning and categorization tasks, action naming, object naming, spatial memory, spatial attention). Patients underwent neuropsychological and EEG examination before (T0), after treatment (T1), and after 40 weeks (T2), to evaluate the effects of rehabilitation therapy. "Small World" (SW) graph approach was introduced allowing us to model the architecture of brain connectivity in order to correlate it with cognitive improvements. We found that following 6 weeks of intensive daily treatment the immediate results showed an improvement in cognitive scales among AD patients. SW present no differences before and after the treatment, whereas a crucial SW modulation emerges at 40-week follow-up, emphasizing the importance of rTMS-COG rehabilitation treatment for AD. Additional results demonstrated that the delta and alpha1 SW seem to be diagnostic biomarkers of AD, whereas alpha2 SW might represent a prognostic biomarker of cognitive recovery. Derived EEG parameters can be awarded the role of diagnostic and predictive biomarkers of AD progression, and rTMS-COG can be regarded as a potentially useful treatment for AD.
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Hamburg S, Bush D, Strydom A, Startin CM. Comparison of resting-state EEG between adults with Down syndrome and typically developing controls. J Neurodev Disord 2021; 13:48. [PMID: 34649497 PMCID: PMC8518326 DOI: 10.1186/s11689-021-09392-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 09/01/2021] [Indexed: 12/01/2022] Open
Abstract
Background Down syndrome (DS) is the most common genetic cause of intellectual disability (ID) worldwide. Understanding electrophysiological characteristics associated with DS provides potential mechanistic insights into ID, helping inform biomarkers and targets for intervention. Currently, electrophysiological characteristics associated with DS remain unclear due to methodological differences between studies and inadequate controls for cognitive decline as a potential cofounder. Methods Eyes-closed resting-state EEG measures (specifically delta, theta, alpha, and beta absolute and relative powers, and alpha peak amplitude, frequency and frequency variance) in occipital and frontal regions were compared between adults with DS (with no diagnosis of dementia or evidence of cognitive decline) and typically developing (TD) matched controls (n = 25 per group). Results We report an overall ‘slower’ EEG spectrum, characterised by higher delta and theta power, and lower alpha and beta power, for both regions in people with DS. Alpha activity in particular showed strong group differences, including lower power, lower peak amplitude and greater peak frequency variance in people with DS. Conclusions Such EEG ‘slowing’ has previously been associated with cognitive decline in both DS and TD populations. These findings indicate the potential existence of a universal EEG signature of cognitive impairment, regardless of origin (neurodevelopmental or neurodegenerative), warranting further exploration. Supplementary Information The online version contains supplementary material available at 10.1186/s11689-021-09392-z.
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Affiliation(s)
- Sarah Hamburg
- The London Down Syndrome Consortium (LonDownS), London, UK.
| | - Daniel Bush
- Institute of Cognitive Neuroscience, University College London, London, UK.,Queen Square Institute of Neurology, University College London, London, UK
| | - Andre Strydom
- The London Down Syndrome Consortium (LonDownS), London, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Carla M Startin
- The London Down Syndrome Consortium (LonDownS), London, UK.,Department of Psychology, University of Roehampton, London, UK
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Golemme M, Tatti E, Di Bernardi Luft C, Bhattacharya J, Herrojo Ruiz M, Cappelletti M. Multivariate patterns and long-range temporal correlations of alpha oscillations are associated with flexible manipulation of visual working memory representations. Eur J Neurosci 2021; 54:7260-7273. [PMID: 34618375 DOI: 10.1111/ejn.15486] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 11/29/2022]
Abstract
The ability to flexibly manipulate memory representations is embedded in visual working memory (VWM) and can be tested using paradigms with retrospective cues. Although valid retrospective cues often facilitate memory recall, invalid ones may or may not result in performance costs. We investigated individual differences in utilising retrospective cues and evaluated how these individual differences are associated with brain oscillatory activity at rest. At the behavioural level, we operationalised flexibility as the ability to make effective use of retrospective cues or disregard them if required. At the neural level, we tested whether individual differences in such flexibility were associated with properties of resting-state alpha oscillatory activity (8-12 Hz). To capture distinct aspects of these brain oscillations, we evaluated their power spectral density and temporal dynamics using long-range temporal correlations (LRTCs). In addition, we performed multivariate patterns analysis (MVPA) to classify individuals' level of behavioural flexibility based on these neural measures. We observed that alpha power alone (magnitude) at rest was not associated with flexibility. However, we found that the participants' ability to manipulate VWM representations was correlated with alpha LRTC and could be decoded using MVPA on patterns of alpha power. Our findings suggest that alpha LRTC and multivariate patterns of alpha power at rest may underlie some of the individual differences in using retrospective cues in working memory tasks.
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Affiliation(s)
- Mara Golemme
- Department of Psychology, Goldsmiths, University of London, London, UK.,UK Dementia Research Institute, Imperial College London, London, UK
| | - Elisa Tatti
- Department of Psychology, Goldsmiths, University of London, London, UK.,CUNY, School of Medicine, City College Of New York, New York, New York, USA
| | | | | | - Maria Herrojo Ruiz
- Department of Psychology, Goldsmiths, University of London, London, UK.,Center for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russian Federation
| | - Marinella Cappelletti
- Department of Psychology, Goldsmiths, University of London, London, UK.,Institute of Cognitive Neuroscience, University College London, London, UK
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Moghadami M, Moghimi S, Moghimi A, Malekzadeh GR, Fadardi JS. The Investigation of Simultaneous EEG and Eye Tracking Characteristics During Fixation Task in Mild Alzheimer's Disease. Clin EEG Neurosci 2021; 52:211-220. [PMID: 32539459 DOI: 10.1177/1550059420932752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder that occurs many years before the first clinical symptoms. Finding more exact, significant, and valuable criteria or indices for the diagnosis of the mild form of Alzheimer's disease is very important for clinical and research purposes. Electroencephalography (EEG) and eye tracking biomarkers would provide noninvasive tools for the early detection of AD. Due to the advantages of EEG and eye tracking, in this study, we employed them simultaneously to conduct research on the mild AD. For this purpose, 19 patients with mild AD were compared with 19 gender- and age-matched normal subjects who did not have any history of cognitive or neurological disorders. EEG and eye-tracking data were concurrently collected in both groups in a fixation task. Our results revealed that the total fixation duration was significantly shorter for the AD patients, but their fixation frequency was more than that of the controls. In addition, increased theta power and decreased alpha power were observed in the AD group. Interestingly, there was a statistically significant correlation between fixation frequency and alpha power in the parietal area in the control group. However, this connection was not statistically significant in the AD group. The findings also indicated an elevated coherence in the AD patients in the parieto-occipital area. It is assumed that the AD patients might use the neural compensational processes for the fixation state. This study provides evidence for the simultaneously EEG and eye-tracking changes in the areas, which are involved in the control of the fixational eye movements.
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Affiliation(s)
- Malihe Moghadami
- Department of Biology, Faculty of Science, 48440Ferdowsi University of Mashhad, Mashhad, Khorassan Razavi, Iran
| | - Sahar Moghimi
- Department of Electrical Engineering, 108847Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran
| | - Ali Moghimi
- Rayan Center for Neuroscience and Behavior, Ferdowsi University of Mashhad, Mashhad, Khorassan Razavi, Iran
| | - Gholam Reza Malekzadeh
- Faculty of Medical Sciences, 125639Islamic Azad University, Mashhad Branch, Mashhad, Razavi Khorasan, Iran
| | - Javad Salehi Fadardi
- Department of Psychology, Faculty of Education Sciences & Psychology, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran.,School of Community and Global Health, Claremont Graduate University, Claremont, CA, USA.,School of Psychology, Bangor University, Bangor, UK
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10
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Vecchio F, Miraglia F, Alù F, Judica E, Cotelli M, Pellicciari MC, Rossini PM. Human brain networks in physiological and pathological aging: reproducibility of EEG graph theoretical analysis in cortical connectivity. Brain Connect 2021; 12:41-51. [PMID: 33797981 DOI: 10.1089/brain.2020.0824] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Physiological and pathological brain aging plays a central role in brain networks modulation. The aim of the present paper was to assess the stability of a proposed method for the evaluation of Small World (SW) characteristics for the study of Human Connectome. METHODS 80 subjects were recruited: 36 young healthy controls, 32 elderly healthy controls, and 12 patients affected by Alzheimer's disease. Electroencephalograms (EEG) were recorded during six separate sessions (480 recordings) at an average inter-session interval of 3.8±0.2 days. Graph theory functions were applied to the undirected and weighted networks obtained by the lagged linear coherence evaluated by exact Low Resolution Electromagnetic Tomography (eLORETA). Were explored the following frequency bands: delta (2-4Hz), theta (4-8Hz), alpha1 (8-10.5Hz), alpha2 (10.5-13Hz), beta1 (13-20Hz), beta2 (20-30Hz) and gamma (30-40Hz). RESULTS The proposed method for the evaluation of Small World (SW) characteristics showed good reproducibility and stability. Furthermore, the results showed the pattern Young>Elderly>AD in low frequency delta and theta bands and vice versa in the higher alpha band. Finally, the correlation with age was confirmed in healthy subjects showing that older the age higher the SW values for alpha2. DISCUSSION Evidences from the present study confirm the stability of the Small World index and suggest that graph theory can support the analysis of connectivity patterns estimated from EEG. The proposed method for the evaluation of the characteristics of the Small World (SW) has shown good reproducibility and stability and applied to patient data, this technique could provide more information on the pathophysiological processes underlying the age-related brain disconnection, as well as on the administration of rehabilitation treatments at the right time that could allow to avoid unnecessary interventions.
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Affiliation(s)
- Fabrizio Vecchio
- IRCCS San Raffaele Pisana, 46729, Via di Val Cannuta, 247, 00166 Roma RM, Roma, Italy, 00163;
| | | | - Francesca Alù
- IRCCS San Raffaele Pisana, 46729, Roma, Lazio, Italy;
| | - Elda Judica
- Casa di Cura del Policlinico SpA, 390725, Milano, Lombardia, Italy;
| | - Maria Cotelli
- IRCCS Centro San Giovanni di Dio Fatebenefratelli, 18518, Brescia, Lombardia, Italy;
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11
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Chronic BACE-1 Inhibitor Administration in TASTPM Mice (APP KM670/671NL and PSEN1 M146V Mutation): An EEG Study. Int J Mol Sci 2020; 21:ijms21239072. [PMID: 33260655 PMCID: PMC7730584 DOI: 10.3390/ijms21239072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 11/16/2020] [Accepted: 11/24/2020] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE In this exploratory study, we tested whether electroencephalographic (EEG) rhythms may reflect the effects of a chronic administration (4 weeks) of an anti-amyloid β-site amyloid precursor protein (APP) cleaving enzyme 1 inhibitor (BACE-1; ER-901356; Eisai Co., Ltd., Tokyo, Japan) in TASTPM (double mutation in APP KM670/671NL and PSEN1 M146V) producing Alzheimer's disease (AD) amyloid neuropathology as compared to wild type (WT) mice. METHODS Ongoing EEG rhythms were recorded from a bipolar frontoparietal and two monopolar frontomedial (prelimbic) and hippocampal channels in 11 WT Vehicle, 10 WT BACE-1, 10 TASTPM Vehicle, and 11 TASTPM BACE-1 mice (males; aged 8/9 months old at the beginning of treatment). Normalized EEG power (density) was compared between the first day (Day 0) and after 4 weeks (Week 4) of the BACE-1 inhibitor (10 mg/Kg) or vehicle administration in the 4 mouse groups. Frequency and magnitude of individual EEG delta and theta frequency peaks (IDF and ITF) were considered during animal conditions of behaviorally passive and active wakefulness. Cognitive status was not tested. RESULTS Compared with the WT group, the TASTPM group generally showed a significantly lower reactivity in frontoparietal ITF power during the active over the passive condition (p < 0.05). Notably, there was no other statistically significant effect (e.g., additional electrodes, recording time, and BACE-1 inhibitor). CONCLUSIONS The above EEG biomarkers reflected differences between the WT and TASTPM groups, but no BACE-1 inhibitor effect. The results suggest an enhanced experimental design with the use of younger mice, longer drug administrations, an effective control drug, and neuropathological amyloid markers.
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12
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Del Percio C, Drinkenburg W, Lopez S, Pascarelli MT, Lizio R, Noce G, Ferri R, Bastlund JF, Laursen B, Christensen DZ, Pedersen JT, Forloni G, Frasca A, Noè FM, Fabene PF, Bertini G, Colavito V, Bentivoglio M, Kelley J, Dix S, Infarinato F, Soricelli A, Stocchi F, Richardson JC, Babiloni C. Ongoing Electroencephalographic Rhythms Related to Exploratory Movements in Transgenic TASTPM Mice. J Alzheimers Dis 2020; 78:291-308. [PMID: 32955458 DOI: 10.3233/jad-190351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The European PharmaCog study (http://www.pharmacog.org) has reported a reduction in delta (1-6 Hz) electroencephalographic (EEG) power (density) during cage exploration (active condition) compared with quiet wakefulness (passive condition) in PDAPP mice (hAPP Indiana V717F mutation) modeling Alzheimer's disease (AD) amyloidosis and cognitive deficits. OBJECTIVE Here, we tested the reproducibility of that evidence in TASTPM mice (double mutation in APP KM670/671NL and PSEN1 M146V), which develop brain amyloidosis and cognitive deficits over aging. The reliability of that evidence was examined in four research centers of the PharmaCog study. METHODS Ongoing EEG rhythms were recorded from a frontoparietal bipolar channel in 29 TASTPM and 58 matched "wild type" C57 mice (range of age: 12-24 months). Normalized EEG power was calculated. Frequency and amplitude of individual delta and theta frequency (IDF and ITF) peaks were considered during the passive and active conditions. RESULTS Compared with the "wild type" group, the TASTPM group showed a significantly lower reduction in IDF power during the active over the passive condition (p < 0.05). This effect was observed in 3 out of 4 EEG recording units. CONCLUSION TASTPM mice were characterized by "poor reactivity" of delta EEG rhythms during the cage exploration in line with previous evidence in PDAPP mice. The reliability of that result across the centers was moderate, thus unveiling pros and cons of multicenter preclinical EEG trials in TASTPM mice useful for planning future studies.
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Affiliation(s)
- Claudio Del Percio
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Susanna Lopez
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy.,Department of Emergency and Organ Transplantation - Nephrology, Dialysis and Transplantation Unit, Aldo Moro University of Bari, Bari, Italy
| | | | | | | | | | | | | | | | | | - Gianluigi Forloni
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Angelisa Frasca
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Francesco M Noè
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Paolo Francesco Fabene
- Department of Neurological Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Giuseppe Bertini
- Department of Neurological Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Valeria Colavito
- Department of Neurological Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Marina Bentivoglio
- Department of Neurological Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Jonathan Kelley
- Janssen Research and Development, Pharmaceutical Companies of J&J, Beerse, Belgium
| | - Sophie Dix
- Eli Lilly, Erl Wood Manor, Windlesham, Surrey, UK
| | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy
| | - Fabrizio Stocchi
- Institute for Research and Medical Care, IRCCS San Raffaele Pisana, Roma, Italy
| | - Jill C Richardson
- GlaxoSmithKline R&D Neurotherapeutics Area UK, Gunnels Wood Road, Stevenage, Hertfordshire, UK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy.,San Raffaele Cassino, Cassino (FR), Italy
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13
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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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Negative effect of methyl bromide fumigation work on the central nervous system. PLoS One 2020; 15:e0236694. [PMID: 32745138 PMCID: PMC7398500 DOI: 10.1371/journal.pone.0236694] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 07/07/2020] [Indexed: 01/05/2023] Open
Abstract
Methyl bromide (MB) is a fumigant that has been widely used for killing pests on plants in trade, soils, and structures worldwide due to its excellent permeability and insecticidal effect; however, MB should be replaced because it is an ozone-depleting substance. It is well-known that MB is highly toxic and hazardous to workers, but the effects of exposure in asymptomatic workers have not been explored. The purpose of this study is to investigate the impact of MB fumigation on the health of fumigators at a sensitive level. The electroencephalogram (EEG) and urinary bromide ion levels of 44 fumigators (the study group) and 20 inspectors (the control) were measured before and after fumigation work from February to August 2019 in Busan, Korea. The mean post-work concentration of bromide ion (18.311 μg/mg CRE) in the fumigators was significantly increased from the pre-work level (7.390 μg/mg CRE) (P<0.001). The fumigator post-work median frequencies (MDF) and alpha-to-theta ratios (ATR) of EEG index were significantly decreased compared to the pre-work values (P<0.05 for all indices). In contrast, there were no significant differences in inspector EEG indices and urinary bromide ion. The urinary bromide ion levels in all the subjects were negatively correlated with MDF (P = 0.032). In conclusion, fumigators’ EEG indices and urinary bromide ion suggested that occupational exposure to MB negatively affected the health of workers, although the workers were asymptomatic.
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15
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Functional Alterations in the Olfactory Neuronal Circuit Occur before Hippocampal Plasticity Deficits in the P301S Mouse Model of Tauopathy: Implications for Early Diagnosis and Translational Research in Alzheimer's Disease. Int J Mol Sci 2020; 21:ijms21155431. [PMID: 32751531 PMCID: PMC7432464 DOI: 10.3390/ijms21155431] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/18/2020] [Accepted: 07/24/2020] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) is characterized by neuronal loss and impaired synaptic transmission, ultimately leading to cognitive deficits. Early in the disease, the olfactory track seems most sensitive to tauopathy, while most plasticity studies focused on the hippocampal circuits. Functional network connectivity (FC) and long-term potentiation (LTP), considered as the plasticity substrate of learning and memory, were longitudinally assessed in mice of the P301S model of tauopathy following the course (time and location) of progressively neurodegenerative pathology (i.e., at 3, 6, and 9 months of age) and in their wild type (WT) littermates. Using in vivo local field potential (LFP) recordings, early (at three months) dampening in the gamma oscillatory activity and impairments in the phase-amplitude theta-gamma coupling (PAC) were found in the olfactory bulb (OB) circuit of P301S mice, which were maintained through the whole course of pathology development. In contrast, LFP oscillatory activity and PAC indices were normal in the entorhinal cortex, hippocampal CA1 and CA3 nuclei. Field excitatory postsynaptic potential (fEPSP) recordings from the Shaffer collateral (SC)-CA1 hippocampal stratum pyramidal revealed a significant altered synaptic LTP response to high-frequency stimulation (HFS): at three months of age, no significant difference between genotypes was found in basal synaptic activity, while signs of a deficit in short term plasticity were revealed by alterations in the fEPSPs. At six months of age, a slight deviance was found in basal synaptic activity and significant differences were observed in the LTP response. The alterations in network oscillations at the OB level and impairments in the functioning of the SC-CA1 pyramidal synapses strongly suggest that the progression of tau pathology elicited a brain area, activity-dependent disturbance in functional synaptic transmission. These findings point to early major alterations of neuronal activity in the OB circuit prior to the disturbance of hippocampal synaptic plasticity, possibly involving tauopathy in the anomalous FC. Further research should determine whether those early deficits in the OB network oscillations and FC are possible mechanisms that potentially promote the emergence of hippocampal synaptic impairments during the progression of tauopathy.
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16
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Gutiérrez-de Pablo V, Gómez C, Poza J, Maturana-Candelas A, Martins S, Gomes I, Lopes AM, Pinto N, Hornero R. Relationship between the Presence of the ApoE ε4 Allele and EEG Complexity along the Alzheimer's Disease Continuum. SENSORS (BASEL, SWITZERLAND) 2020; 20:E3849. [PMID: 32664228 PMCID: PMC7411888 DOI: 10.3390/s20143849] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 06/29/2020] [Accepted: 07/08/2020] [Indexed: 12/15/2022]
Abstract
Alzheimer's disease (AD) is the most prevalent cause of dementia, being considered a major health problem, especially in developed countries. Late-onset AD is the most common form of the disease, with symptoms appearing after 65 years old. Genetic determinants of AD risk are vastly unknown, though, ε 4 allele of the ApoE gene has been reported as the strongest genetic risk factor for AD. The objective of this study was to analyze the relationship between brain complexity and the presence of ApoE ε 4 alleles along the AD continuum. For this purpose, resting-state electroencephalography (EEG) activity was analyzed by computing Lempel-Ziv complexity (LZC) from 46 healthy control subjects, 49 mild cognitive impairment subjects, 45 mild AD patients, 44 moderate AD patients and 33 severe AD patients, subdivided by ApoE status. Subjects with one or more ApoE ε 4 alleles were included in the carriers subgroups, whereas the ApoE ε 4 non-carriers subgroups were formed by subjects without any ε 4 allele. Our results showed that AD continuum is characterized by a progressive complexity loss. No differences were observed between AD ApoE ε 4 carriers and non-carriers. However, brain activity from healthy subjects with ApoE ε 4 allele (carriers subgroup) is more complex than from non-carriers, mainly in left temporal, frontal and posterior regions (p-values < 0.05, FDR-corrected Mann-Whitney U-test). These results suggest that the presence of ApoE ε 4 allele could modify the EEG complexity patterns in different brain regions, as the temporal lobes. These alterations might be related to anatomical changes associated to neurodegeneration, increasing the risk of suffering dementia due to AD before its clinical onset. This interesting finding might help to advance in the development of new tools for early AD diagnosis.
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Affiliation(s)
- Víctor Gutiérrez-de Pablo
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
| | - Carlos Gómez
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
| | - Jesús Poza
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
- Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, 47011 Valladolid, Spain
| | - Aarón Maturana-Candelas
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
| | - Sandra Martins
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Iva Gomes
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Alexandra M. Lopes
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Nádia Pinto
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Center of Mathematics of the University of Porto (CMUP), 4169-007 Porto, Portugal
| | - Roberto Hornero
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
- Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, 47011 Valladolid, Spain
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17
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Peters ST, Fahrenkopf A, Choquette JM, Vermilyea SC, Lee MK, Vossel K. Ablating Tau Reduces Hyperexcitability and Moderates Electroencephalographic Slowing in Transgenic Mice Expressing A53T Human α-Synuclein. Front Neurol 2020; 11:563. [PMID: 32636798 PMCID: PMC7316964 DOI: 10.3389/fneur.2020.00563] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 05/18/2020] [Indexed: 12/15/2022] Open
Abstract
Abnormal intraneuronal accumulation of the presynaptic protein α-synuclein (α-syn) is implicated in the etiology of dementia with Lewy bodies (DLB) and Parkinson's disease with dementia (PDD). Recent work revealed that mice expressing human α-syn with the alanine-53-threonine (A53T) mutation have a similar phenotype to the human condition, exhibiting long-term potentiation deficits, learning and memory deficits, and inhibitory hippocampal remodeling, all of which were reversed by genetic ablation of microtubule-associated protein tau. Significantly, memory deficits were associated with histological signs of network hyperactivity/seizures. Electrophysiological abnormalities are often seen in parkinsonian dementias. Baseline electroencephalogram (EEG) slowing is used as a supportive diagnostic feature in DLB and PDD, and patients with these diseases may exhibit indicators of broad network dysfunction such as sleep dysregulation, myoclonus, and seizures. Given the translational significance, we examined whether human A53T α-syn expressing mice exhibit endogenous-tau-dependent EEG abnormalities, as measured with epidural electrodes over the frontal and parietal cortices. Using template-based waveform sorting, we determined that A53T mice have significantly high numbers of epileptiform events as early as 3-4 months of age and throughout life, and this effect is markedly attenuated in the absence of tau. Epileptic myoclonus occurred in half of A53T mice and was markedly reduced by tau ablation. In spectral analysis, tau ablation partially reduced EEG slowing in 6-7 month transgenic mice. We found abnormal sleeping patterns in transgenic mice that were more pronounced in older groups, but did not find evidence that this was influenced by tau genotype. Together, these data support the notion that tau facilitates A53T α-syn-induced hyperexcitability that both precedes and coincides with associated synaptic, cognitive, and behavioral effects. Tau also contributes to some aspects of EEG slowing in A53T mice. Importantly, our work supports tau-based approaches as an effective early intervention in α-synucleinopathies to treat aberrant network activity.
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Affiliation(s)
- Samuel T Peters
- Department of Neurology, N. Bud Grossman Center for Memory Research and Care, University of Minnesota, Minneapolis, MN, United States
| | - Allyssa Fahrenkopf
- Department of Neurology, N. Bud Grossman Center for Memory Research and Care, University of Minnesota, Minneapolis, MN, United States
| | - Jessica M Choquette
- Department of Neurology, N. Bud Grossman Center for Memory Research and Care, University of Minnesota, Minneapolis, MN, United States
| | - Scott C Vermilyea
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
| | - Michael K Lee
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States.,Institute for Translational Neuroscience, University of Minnesota, Minneapolis, MN, United States.,Geriatric Research Education and Clinical Center, Minneapolis Veterans Affairs Health Care System, University of Minnesota, Minneapolis, MN, United States
| | - Keith Vossel
- Department of Neurology, N. Bud Grossman Center for Memory Research and Care, University of Minnesota, Minneapolis, MN, United States.,Institute for Translational Neuroscience, University of Minnesota, Minneapolis, MN, United States
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18
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Benwell CSY, Davila-Pérez P, Fried PJ, Jones RN, Travison TG, Santarnecchi E, Pascual-Leone A, Shafi MM. EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes. Neurobiol Aging 2020; 85:83-95. [PMID: 31727363 PMCID: PMC6942171 DOI: 10.1016/j.neurobiolaging.2019.10.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 09/30/2019] [Accepted: 10/07/2019] [Indexed: 12/13/2022]
Abstract
Rhythmic neural activity has been proposed to play a fundamental role in cognition. Both healthy and pathological aging are characterized by frequency-specific changes in oscillatory activity. However, the cognitive relevance of these changes across the spectrum from normal to pathological aging remains unknown. We examined electroencephalography (EEG) correlates of cognitive function in healthy aging and 2 of the most prominent and debilitating age-related disorders: type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD). Relative to healthy controls (HC), patients with AD were impaired on nearly every cognitive measure, whereas patients with T2DM performed worse mainly on learning and memory tests. A continuum of alterations in resting-state EEG was associated with pathological aging, generally characterized by reduced alpha (α) and beta (β) power (AD < T2DM < HC) and increased delta (δ) and theta (θ) power (AD > T2DM > HC), with some variations across different brain regions. There were also reductions in the frequency and power density of the posterior dominant rhythm in AD. The ratio of (α + β)/(δ + θ) was specifically associated with cognitive function in a domain- and diagnosis-specific manner. The results thus captured both similarities and differences in the pathophysiology of cerebral oscillations in T2DM and AD. Overall, pathological brain aging is marked by a shift in oscillatory power from higher to lower frequencies, which can be captured by a single cognitively relevant measure of the ratio of (α + β) over (δ + θ) power.
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Affiliation(s)
- Christopher S Y Benwell
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Psychology, School of Social Sciences, University of Dundee, Dundee, UK.
| | - Paula Davila-Pérez
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Neuroscience and Motor Control Group (NEUROcom), Institute for Biomedical Research (INIBIC), Universidade da Coruña, A Coruña, Spain
| | - Peter J Fried
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Richard N Jones
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Butler Hospital, Providence, RI, USA
| | - Thomas G Travison
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
| | - Emiliano Santarnecchi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA; Institut Guttman, Universitat Autonoma de Barcelona, Badalona, Barcelona, Spain; Center for Memory Health, Hebrew Senior Life, Boston, MA, USA
| | - Mouhsin M Shafi
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA; Comprehensive Epilepsy Center, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
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Abstract
Currently established and employed biomarkers of Alzheimer's disease (AD) predominantly mirror AD-associated molecular and structural brain changes. While they are necessary for identifying disease-specific neuropathology, they lack a clear and robust relationship with the clinical presentation of dementia; they can be altered in healthy individuals, while they often inadequately mirror the degree of cognitive and functional deficits in affected subjects. There is growing evidence that synaptic loss and dysfunction are early events during the trajectory of AD pathogenesis that best correlate with the clinical symptoms, suggesting measures of brain functional deficits as candidate early markers of AD. Resting-state electroencephalography (EEG) is a widely available and noninvasive diagnostic method that provides direct insight into brain synaptic activity in real time. Quantitative EEG (qEEG) analysis additionally provides information on physiologically meaningful frequency components, dynamic alterations and topography of EEG signal generators, i.e. neuronal signaling. Numerous studies have shown that qEEG measures can detect disruptions in activity, topographical distribution and synchronization of neuronal (synaptic) activity such as generalized EEG slowing, reduced global synchronization and anteriorization of neuronal generators of fast-frequency resting-state EEG activity in patients along the AD continuum. Moreover, qEEG measures appear to correlate well with surrogate markers of AD neuropathology and discriminate between different types of dementia, making them promising low-cost and noninvasive markers of AD. Future large-scale longitudinal clinical studies are needed to elucidate the diagnostic and prognostic potential of qEEG measures as early functional markers of AD on an individual subject level.
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Affiliation(s)
- Una Smailovic
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
| | - Vesna Jelic
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Clinic for Cognitive Disorders, Theme Aging, Karolinska University Hospital, Huddinge, Sweden
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20
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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: 26] [Impact Index Per Article: 5.2] [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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21
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Jovicich J, Babiloni C, Ferrari C, Marizzoni M, Moretti DV, Del Percio C, Lizio R, Lopez S, Galluzzi S, Albani D, Cavaliere L, Minati L, Didic M, Fiedler U, Forloni G, Hensch T, Molinuevo JL, Bartrés Faz D, Nobili F, Orlandi D, Parnetti L, Farotti L, Costa C, Payoux P, Rossini PM, Marra C, Schönknecht P, Soricelli A, Noce G, Salvatore M, Tsolaki M, Visser PJ, Richardson JC, Wiltfang J, Bordet R, Blin O, Frisoniand GB. Two-Year Longitudinal Monitoring of Amnestic Mild Cognitive Impairment Patients with Prodromal Alzheimer’s Disease Using Topographical Biomarkers Derived from Functional Magnetic Resonance Imaging and Electroencephalographic Activity. J Alzheimers Dis 2019; 69:15-35. [DOI: 10.3233/jad-180158] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology “V. Erspamer”, Sapienza University of Rome, Rome, Italy
- Department of Neuroscience, IRCCS-Hospital San Raffaele Pisana of Rome and Cassino, Rome and Cassino, Italy
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Moira Marizzoni
- Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Davide V. Moretti
- Alzheimer’s Epidemiology and Rehabilitation in Alzheimer’s disease Operative Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Roberta Lizio
- Department of Physiology and Pharmacology “V. Erspamer”, Sapienza University of Rome, Rome, Italy
| | - Susanna Lopez
- Department of Physiology and Pharmacology “V. Erspamer”, Sapienza University of Rome, Rome, Italy
| | - Samantha Galluzzi
- Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Diego Albani
- Department of Neuroscience, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy
| | - Libera Cavaliere
- Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Mira Didic
- Aix-Marseille Université, INSERM, INS UMR_S 1106, Marseille, France; Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
- APHM, Timone, Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
| | - Ute Fiedler
- Department of Psychiatry and Psychotherapy, LVR-Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Gianluigi Forloni
- Department of Neuroscience, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - José Luis Molinuevo
- Alzheimer’s disease and other cognitive disorders unit, Neurology Service, ICN Hospital Clinic i Universitari and Pasqual Maragall Foundation Barcelona, Spain
| | - David Bartrés Faz
- Department of Medicine, Medical Psychology Unit, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), Neurology Clinic, University of Genoa, Italy
- U.O. Clinica Neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Daniele Orlandi
- Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Lucilla Parnetti
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - Lucia Farotti
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - Cinzia Costa
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Paolo Maria Rossini
- Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Policlinic A. Gemelli Foundation-IRCCS, Rome, Italy
| | - Camillo Marra
- Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Policlinic A. Gemelli Foundation-IRCCS, Rome, Italy
| | - Peter Schönknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | | | | | | | - Magda Tsolaki
- 1st University Department of Neurology, AHEPA Hospital, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Makedonia, Greece
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, The Netherlands
| | - Jill C. Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, UK
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, LVR-Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
- Department of Psychiatry and Psychotherapy, LVR-Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Goettingen, Germany
| | - Régis Bordet
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative and vascular cognitive disorders, Lille, France
| | - Olivier Blin
- Aix Marseille University, UMR-CNRS 7289, Service de Pharmacologie Clinique, AP-HM, Marseille, France
| | - Giovanni B. Frisoniand
- Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
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22
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O'Neill BV, Dodds CM, Miller SR, Gupta A, Lawrence P, Bullman J, Chen C, Dewit O, Kumar S, Dustagheer M, Price J, Shabbir S, Nathan PJ. The effects of GSK2981710, a medium-chain triglyceride, on cognitive function in healthy older participants: A randomised, placebo-controlled study. Hum Psychopharmacol 2019; 34:e2694. [PMID: 31124194 DOI: 10.1002/hup.2694] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/07/2019] [Accepted: 03/13/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE This double-blind, randomised, placebo-controlled, two-part study assessed the impact of GSK2981710, a medium-chain triglyceride (MCT) that liberates ketone bodies, on cognitive function, safety, and tolerability in healthy older adults. METHODS Part 1 was a four-period dose-selection study (n = 8 complete). Part 2 was a two-period crossover study (n = 80 complete) assessing the acute (Day 1) and prolonged (Day 15) effects of GSK2981710 on cognition and memory-related neuronal activity. Safety and tolerability of MCT supplementation were monitored in both parts of the study. RESULTS The most common adverse event was diarrhoea (100% and 75% of participants in Parts 1 and 2, respectively). Most adverse events were mild to moderate, and 11% participants were withdrawn due to one or more adverse events. Although GSK2981710 (30 g/day) resulted in increased peak plasma β-hydroxybutyrate (BHB) concentrations, no significant improvements in cognitive function or memory-related neuronal activity were observed. CONCLUSION Over a duration of 14 days, increasing plasma BHB levels with daily administration of GSK2981710 had no effects on neuronal activity or cognitive function. This result indicates that modulating plasma ketone levels with GSK2981710 may be ineffective in improving cognitive function in healthy older adults, or the lack of observed effect could be related to several factors including study population, plasma BHB concentrations, MCT composition, or treatment duration.
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Affiliation(s)
- Barry V O'Neill
- GSK Nutrition, GSK Consumer Healthcare, Brentford, UK.,Respiratory Health, GSK Consumer Healthcare, Nyon, Switzerland
| | - Chris M Dodds
- Department of Psychology, University of Exeter, Exeter, UK
| | - Sam R Miller
- Department of Quantitative Sciences, GlaxoSmithKline, Stevenage, UK
| | - Ashutosh Gupta
- Department of Quantitative Sciences India, GlaxoSmithKline, Bangalore, India
| | | | - Jonathan Bullman
- Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, Stevenage, UK
| | - Chao Chen
- Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, London, UK
| | - Odile Dewit
- Clinical Unit, GlaxoSmithKline, Cambridge, UK
| | | | | | | | - Shaila Shabbir
- Clinical Pharmacology Study Sciences and Operations, GlaxoSmithKline, Stevenage, UK
| | - Pradeep J Nathan
- Sosei Heptares, Cambridge, UK.,The School of Psychological Sciences, Monash University, Clayton, Australia.,Department of Psychiatry, University of Cambridge, Cambridge, UK
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23
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Gong A, Liu J, Lu L, Wu G, Jiang C, Fu Y. Characteristic differences between the brain networks of high-level shooting athletes and non-athletes calculated using the phase-locking value algorithm. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.02.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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24
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Hidisoglu E, Kantar-Gok D, Er H, Acun AD, Yargicoglu P. Alterations in spontaneous delta and gamma activity might provide clues to detect changes induced by amyloid-β administration. Eur J Neurosci 2018; 47:1013-1023. [DOI: 10.1111/ejn.13832] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 12/26/2017] [Accepted: 01/15/2018] [Indexed: 12/29/2022]
Affiliation(s)
- Enis Hidisoglu
- Department of Biophysics; Akdeniz University Faculty of Medicine; Dumlupinar Boulevard TR-07058 Campus; Antalya Turkey
| | - Deniz Kantar-Gok
- Department of Biophysics; Akdeniz University Faculty of Medicine; Dumlupinar Boulevard TR-07058 Campus; Antalya Turkey
| | - Hakan Er
- Department of Biophysics; Akdeniz University Faculty of Medicine; Dumlupinar Boulevard TR-07058 Campus; Antalya Turkey
| | - Alev Duygu Acun
- Department of Biophysics; Akdeniz University Faculty of Medicine; Dumlupinar Boulevard TR-07058 Campus; Antalya Turkey
| | - Piraye Yargicoglu
- Department of Biophysics; Akdeniz University Faculty of Medicine; Dumlupinar Boulevard TR-07058 Campus; Antalya Turkey
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25
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Gong A, Liu J, Li F, Liu F, Jiang C, Fu Y. Correlation Between Resting-state Electroencephalographic Characteristics and Shooting Performance. Neuroscience 2017; 366:172-183. [PMID: 29079062 DOI: 10.1016/j.neuroscience.2017.10.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 09/28/2017] [Accepted: 10/13/2017] [Indexed: 11/30/2022]
Abstract
According to the theories of neural plasticity and neural efficiency, professional skill training improves performance by strengthening the underlying neural mechanisms. Therefore, subjects trained professionally may exhibit changes in resting-state neurophysiological characteristics closely related to performance. To test this notion, the resting-state electroencephalogram (EEG) was measured from 35 rifle shooters after the same training regimen, and resting-state EEG characteristics were analyzed for correlations with shooting performance. The results showed a significant linear correlation between shooting performance and the coherence of electrode channels C3 and T3 in the beta1 band (r = 0.74, P < 4.2 × 10-6). There was also a significant linear correlation between the characteristic path length of the resting-state theta band brain network and shooting performance (r = 0.56, P < 0.0005). This study identifies potential neural mechanisms underlying successful shooting and a new method for predicting and evaluating performance based on EEG characteristics.
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Affiliation(s)
- Anmin Gong
- School of Science, Engineering University of Chinese People's Armed Police Force, China.
| | - Jianping Liu
- School of Science, Engineering University of Chinese People's Armed Police Force, China
| | - Fangbo Li
- School of Science, Engineering University of Chinese People's Armed Police Force, China
| | - Fangyi Liu
- School of Science, Engineering University of Chinese People's Armed Police Force, China
| | - Changhao Jiang
- Key Laboratory of Sports Performance Evaluation and Technical Analysis, Capital Institute of Physical Education, China
| | - Yunfa Fu
- School of Automation and Information Engineering, Kunming University of Science and Technology, China
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26
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Michels L, Muthuraman M, Anwar AR, Kollias S, Leh SE, Riese F, Unschuld PG, Siniatchkin M, Gietl AF, Hock C. Changes of Functional and Directed Resting-State Connectivity Are Associated with Neuronal Oscillations, ApoE Genotype and Amyloid Deposition in Mild Cognitive Impairment. Front Aging Neurosci 2017; 9:304. [PMID: 29081745 PMCID: PMC5646353 DOI: 10.3389/fnagi.2017.00304] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 09/04/2017] [Indexed: 01/03/2023] Open
Abstract
The assessment of effects associated with cognitive impairment using electroencephalography (EEG) power mapping allows the visualization of frequency-band specific local changes in oscillatory activity. In contrast, measures of coherence and dynamic source synchronization allow for the study of functional and effective connectivity, respectively. Yet, these measures have rarely been assessed in parallel in the context of mild cognitive impairment (MCI) and furthermore it has not been examined if they are related to risk factors of Alzheimer’s disease (AD) such as amyloid deposition and apolipoprotein ε4 (ApoE) allele occurrence. Here, we investigated functional and directed connectivities with Renormalized Partial Directed Coherence (RPDC) in 17 healthy controls (HC) and 17 participants with MCI. Participants underwent ApoE-genotyping and Pittsburgh compound B positron emission tomography (PiB-PET) to assess amyloid deposition. We observed lower spectral source power in MCI in the alpha and beta bands. Coherence was stronger in HC than MCI across different neuronal sources in the delta, theta, alpha, beta and gamma bands. The directed coherence analysis indicated lower information flow between fronto-temporal (including the hippocampus) sources and unidirectional connectivity in MCI. In MCI, alpha and beta RPDC showed an inverse correlation to age and gender; global amyloid deposition was inversely correlated to alpha coherence, RPDC and beta and gamma coherence. Furthermore, the ApoE status was negatively correlated to alpha coherence and RPDC, beta RPDC and gamma coherence. A classification analysis of cognitive state revealed the highest accuracy using EEG power, coherence and RPDC as input. For this small but statistically robust (Bayesian power analyses) sample, our results suggest that resting EEG related functional and directed connectivities are sensitive to the cognitive state and are linked to ApoE and amyloid burden.
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Affiliation(s)
- Lars Michels
- Clinic of Neuroradiology, University Hospital of ZurichZurich, Switzerland.,MR-Center, University Children's Hospital ZurichZurich, Switzerland
| | - Muthuraman Muthuraman
- Clinic for Neurology, University of KielKiel, Germany.,Clinic for Neurology, University of MainzMainz, Germany
| | - Abdul R Anwar
- Clinic for Neurology, University of KielKiel, Germany
| | - Spyros Kollias
- Clinic of Neuroradiology, University Hospital of ZurichZurich, Switzerland
| | - Sandra E Leh
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Florian Riese
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Paul G Unschuld
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Michael Siniatchkin
- Institute of Medical Psychology and Medical Sociology, Christian-Albrechts-University of KielKiel, Germany
| | - Anton F Gietl
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Christoph Hock
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
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27
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Del Percio C, Drinkenburg W, Lopez S, Infarinato F, Bastlund JF, Laursen B, Pedersen JT, Christensen DZ, Forloni G, Frasca A, Noè FM, Bentivoglio M, Fabene PF, Bertini G, Colavito V, Kelley J, Dix S, Richardson JC, Babiloni C. On-going electroencephalographic rhythms related to cortical arousal in wild-type mice: the effect of aging. Neurobiol Aging 2017; 49:20-30. [DOI: 10.1016/j.neurobiolaging.2016.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 09/05/2016] [Accepted: 09/08/2016] [Indexed: 01/25/2023]
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28
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Babiloni C, Del Percio C, Caroli A, Salvatore E, Nicolai E, Marzano N, Lizio R, Cavedo E, Landau S, Chen K, Jagust W, Reiman E, Tedeschi G, Montella P, De Stefano M, Gesualdo L, Frisoni GB, Soricelli A. Cortical sources of resting state EEG rhythms are related to brain hypometabolism in subjects with Alzheimer's disease: an EEG-PET study. Neurobiol Aging 2016; 48:122-134. [DOI: 10.1016/j.neurobiolaging.2016.08.021] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Revised: 08/05/2016] [Accepted: 08/24/2016] [Indexed: 11/24/2022]
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29
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Papazoglou A, Soos J, Lundt A, Wormuth C, Ginde VR, Müller R, Henseler C, Broich K, Xie K, Ehninger D, Haenisch B, Weiergräber M. Gender-Specific Hippocampal Dysrhythmia and Aberrant Hippocampal and Cortical Excitability in the APPswePS1dE9 Model of Alzheimer's Disease. Neural Plast 2016; 2016:7167358. [PMID: 27840743 PMCID: PMC5093295 DOI: 10.1155/2016/7167358] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 09/07/2016] [Accepted: 09/19/2016] [Indexed: 12/26/2022] Open
Abstract
Alzheimer's disease (AD) is a multifactorial disorder leading to progressive memory loss and eventually death. In this study an APPswePS1dE9 AD mouse model has been analyzed using implantable video-EEG radiotelemetry to perform long-term EEG recordings from the primary motor cortex M1 and the hippocampal CA1 region in both genders. Besides motor activity, EEG recordings were analyzed for electroencephalographic seizure activity and frequency characteristics using a Fast Fourier Transformation (FFT) based approach. Automatic seizure detection revealed severe electroencephalographic seizure activity in both M1 and CA1 deflection in APPswePS1dE9 mice with gender-specific characteristics. Frequency analysis of both surface and deep EEG recordings elicited complex age, gender, and activity dependent alterations in the theta and gamma range. Females displayed an antithetic decrease in theta (θ) and increase in gamma (γ) power at 18-19 weeks of age whereas related changes in males occurred earlier at 14 weeks of age. In females, theta (θ) and gamma (γ) power alterations predominated in the inactive state suggesting a reduction in atropine-sensitive type II theta in APPswePS1dE9 animals. Gender-specific central dysrhythmia and network alterations in APPswePS1dE9 point to a functional role in behavioral and cognitive deficits and might serve as early biomarkers for AD in the future.
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Affiliation(s)
- Anna Papazoglou
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
| | - Julien Soos
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)), Bonn, Germany
| | - Andreas Lundt
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
| | - Carola Wormuth
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
| | - Varun Raj Ginde
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)), Bonn, Germany
| | - Ralf Müller
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Christina Henseler
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
| | - Karl Broich
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
| | - Kan Xie
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)), Bonn, Germany
| | - Dan Ehninger
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)), Bonn, Germany
| | - Britta Haenisch
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)), Bonn, Germany
| | - Marco Weiergräber
- Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM)), Bonn, Germany
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30
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Babiloni C, Pennica A, Del Percio C, Noce G, Cordone S, Lopez S, Berry K, Muratori C, Ferracuti S, Roma P, Correr V, Di Campli F, Gianserra L, Ciullini L, Aceti A, Soricelli A, Teti E, Viscione M, Limatola C, Onorati P, Capotosto P, Andreoni M. Antiretroviral therapy affects the z-score index of deviant cortical EEG rhythms in naïve HIV individuals. Neuroimage Clin 2016; 12:144-56. [PMID: 27408799 PMCID: PMC4933036 DOI: 10.1016/j.nicl.2016.06.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Revised: 05/12/2016] [Accepted: 06/06/2016] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Here we tested the effect of combined antiretroviral therapy (cART) on deviant electroencephalographic (EEG) source activity in treatment-naïve HIV individuals. METHODS Resting state eyes-closed EEG data were recorded before and after 5 months of cART in 48 male HIV subjects, who were naïve at the study start. The EEG data were also recorded in 59 age- and sex-matched healthy subjects as a control group. Frequency bands of interest included delta, theta, alpha1, alpha2 and alpha3, based on alpha frequency peak specific to each individual. They also included beta1 (13-20 Hz) and beta2 (20-30 Hz). Low-resolution brain electromagnetic tomography (LORETA) estimated EEG cortical source activity in frontal, central, temporal, parietal, and occipital regions. RESULTS Before the therapy, the HIV group showed greater parietal delta source activity and lower spatially diffuse alpha source activity compared to the control group. Thus, the ratio of parietal delta and alpha3 source activity served as an EEG marker. The z-score showed a statistically deviant EEG marker (EEG +) in 50% of the HIV individuals before therapy (p < 0.05). After 5 months of cART, delta source activity decreased, and alpha3 source activity increased in the HIV subjects with EEG + (about 50% of them showed a normalized EEG marker). CONCLUSIONS This procedure detected a deviant EEG marker before therapy and its post-therapy normalization in naïve HIV single individuals. SIGNIFICANCE The parietal delta/alpha3 EEG marker may be used to monitor cART effects on brain function in such individuals.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
- IRCCS S. Raffaele Pisana, Rome, Italy
| | - Alfredo Pennica
- Infectious Diseases, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | | | | | - Susanna Cordone
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
| | - Susanna Lopez
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
| | - Ketura Berry
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
| | | | - Stefano Ferracuti
- Psychiatry, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Paolo Roma
- Psychiatry, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Valentina Correr
- Psychiatry, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Francesco Di Campli
- Infectious Diseases, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Laura Gianserra
- Infectious Diseases, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Lorenzo Ciullini
- Infectious Diseases, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Antonio Aceti
- Infectious Diseases, Faculty of Medicine and Psychology, University of Rome “La Sapienza”, Rome, Italy
| | - Andrea Soricelli
- IRCCS SDN, Naples, Italy
- Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy
| | - Elisabetta Teti
- Clinical Infectious Diseases, University of Rome “Tor Vergata”, Rome, Italy
| | - Magdalena Viscione
- Clinical Infectious Diseases, University of Rome “Tor Vergata”, Rome, Italy
| | - Cristina Limatola
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
| | - Paolo Onorati
- Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy
- IRCCS S. Raffaele Pisana, Rome, Italy
| | | | - Massimo Andreoni
- Clinical Infectious Diseases, University of Rome “Tor Vergata”, Rome, Italy
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Galluzzi S, Marizzoni M, Babiloni C, Albani D, Antelmi L, Bagnoli C, Bartres-Faz D, Cordone S, Didic M, Farotti L, Fiedler U, Forloni G, Girtler N, Hensch T, Jovicich J, Leeuwis A, Marra C, Molinuevo JL, Nobili F, Pariente J, Parnetti L, Payoux P, Del Percio C, Ranjeva JP, Rolandi E, Rossini PM, Schönknecht P, Soricelli A, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Bordet R, Blin O, Frisoni GB. Clinical and biomarker profiling of prodromal Alzheimer's disease in workpackage 5 of the Innovative Medicines Initiative PharmaCog project: a 'European ADNI study'. J Intern Med 2016; 279:576-91. [PMID: 26940242 DOI: 10.1111/joim.12482] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND In the field of Alzheimer's disease (AD), the validation of biomarkers for early AD diagnosis and for use as a surrogate outcome in AD clinical trials is of considerable research interest. OBJECTIVE To characterize the clinical profile and genetic, neuroimaging and neurophysiological biomarkers of prodromal AD in amnestic mild cognitive impairment (aMCI) patients enrolled in the IMI WP5 PharmaCog (also referred to as the European ADNI study). METHODS A total of 147 aMCI patients were enrolled in 13 European memory clinics. Patients underwent clinical and neuropsychological evaluation, magnetic resonance imaging (MRI), electroencephalography (EEG) and lumbar puncture to assess the levels of amyloid β peptide 1-42 (Aβ42), tau and p-tau, and blood samples were collected. Genetic (APOE), neuroimaging (3T morphometry and diffusion MRI) and EEG (with resting-state and auditory oddball event-related potential (AO-ERP) paradigm) biomarkers were evaluated. RESULTS Prodromal AD was found in 55 aMCI patients defined by low Aβ42 in the cerebrospinal fluid (Aβ positive). Compared to the aMCI group with high Aβ42 levels (Aβ negative), Aβ positive patients showed poorer visual (P = 0.001), spatial recognition (P < 0.0005) and working (P = 0.024) memory, as well as a higher frequency of APOE4 (P < 0.0005), lower hippocampal volume (P = 0.04), reduced thickness of the parietal cortex (P < 0.009) and structural connectivity of the corpus callosum (P < 0.05), higher amplitude of delta rhythms at rest (P = 0.03) and lower amplitude of posterior cingulate sources of AO-ERP (P = 0.03). CONCLUSION These results suggest that, in aMCI patients, prodromal AD is characterized by a distinctive cognitive profile and genetic, neuroimaging and neurophysiological biomarkers. Longitudinal assessment will help to identify the role of these biomarkers in AD progression.
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Affiliation(s)
- S Galluzzi
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy
| | - M Marizzoni
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy
| | - C Babiloni
- Department of Physiology and Pharmacology, University of Rome 'La Sapienza', Rome, Italy.,IRCCS San Raffaele Pisana of Rome, Rome, Italy
| | - D Albani
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - L Antelmi
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy
| | - C Bagnoli
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy
| | - D Bartres-Faz
- Department of Psychiatry and Clinical Psychobiology, Faculty of Medicine, University of Barcelona and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalunya, Spain
| | - S Cordone
- Department of Physiology and Pharmacology, University of Rome 'La Sapienza', Rome, Italy
| | - M Didic
- Aix-Marseille Université, INSERM, Marseille, France.,Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
| | - L Farotti
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - U Fiedler
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, LVR-Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - G Forloni
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - N Girtler
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology and Maternal-Fetal Medicine, University of Genoa, Genoa, Italy
| | - T Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - J Jovicich
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - A Leeuwis
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, the Netherlands
| | - C Marra
- Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Rome, Italy
| | - J L Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, and IDIBAPS, Barcelona, Catalunya, Spain
| | - F Nobili
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology and Maternal-Fetal Medicine, University of Genoa, Genoa, Italy
| | - J Pariente
- INSERM, Imagerie Cérébrale et Handicaps Neurologiques, Toulouse, France
| | - L Parnetti
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - P Payoux
- INSERM, Imagerie Cérébrale et Handicaps Neurologiques, Toulouse, France
| | - C Del Percio
- SDN Istituto di Ricerca Diagnostica e Nucleare, Naples, Italy
| | - J-P Ranjeva
- Aix-Marseille Université, INSERM, Marseille, France.,Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
| | - E Rolandi
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy
| | - P M Rossini
- Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Rome, Italy
| | - P Schönknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - A Soricelli
- SDN Istituto di Ricerca Diagnostica e Nucleare, Naples, Italy
| | - M Tsolaki
- Third Neurologic Clinic, Medical School, G. Papanikolaou Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - P J Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, the Netherlands
| | - J Wiltfang
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, LVR-Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Goettingen, Germany
| | - J C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Stevenage, UK
| | - R Bordet
- University of Lille, Inserm, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - O Blin
- Mediterranean Institute of Cognitive Neurosciences, Aix Marseille University, Marseille, France
| | - G B Frisoni
- Laboratory of Alzheimer's Neuroimaging & Epidemiology, Saint John of God Clinical Research Centre, Brescia, Italy.,Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
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Başar E, Gölbaşı BT, Tülay E, Aydın S, Başar-Eroğlu C. Best method for analysis of brain oscillations in healthy subjects and neuropsychiatric diseases. Int J Psychophysiol 2016; 103:22-42. [DOI: 10.1016/j.ijpsycho.2015.02.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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33
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Babiloni C, Del Percio C, Vecchio F, Sebastiano F, Di Gennaro G, Quarato PP, Morace R, Pavone L, Soricelli A, Noce G, Esposito V, Rossini PM, Gallese V, Mirabella G. Alpha, beta and gamma electrocorticographic rhythms in somatosensory, motor, premotor and prefrontal cortical areas differ in movement execution and observation in humans. Clin Neurophysiol 2016; 127:641-654. [DOI: 10.1016/j.clinph.2015.04.068] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 04/21/2015] [Accepted: 04/25/2015] [Indexed: 12/30/2022]
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Hatz F, Hardmeier M, Benz N, Ehrensperger M, Gschwandtner U, Rüegg S, Schindler C, Monsch AU, Fuhr P. Microstate connectivity alterations in patients with early Alzheimer's disease. Alzheimers Res Ther 2015; 7:78. [PMID: 26718102 PMCID: PMC4697314 DOI: 10.1186/s13195-015-0163-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 11/16/2015] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Electroencephalography (EEG) microstates and brain network are altered in patients with Alzheimer's disease (AD) and discussed as potential biomarkers for AD. Microstates correspond to defined states of brain activity, and their connectivity patterns may change accordingly. Little is known about alteration of connectivity in microstates, especially in patients with amnestic mild cognitive impairment with stable or improving cognition within 30 months (aMCI). METHODS Thirty-five outpatients with aMCI or mild dementia (mean age 77 ± 7 years, 47% male, Mini Mental State Examination score ≥24) had comprehensive neuropsychological and clinical examinations. Subjects with cognitive decline over 30 months were allocated to the AD group, subjects with stable or improving cognition to the MCI-stable group. Results of neuropsychological testing at baseline were summarized in six domain scores. Resting state EEG was recorded with 256 electrodes and analyzed using TAPEEG. Five microstates were defined and individual data fitted. After phase transformation, the phase lag index (PLI) was calculated for the five microstates in every subject. Networks were reduced to 22 nodes for statistical analysis. RESULTS The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups. In the present sample, they separated in a logistic regression model with a 100% positive predictive value, 60% negative predictive value, 100% specificity and 77% sensitivity between AD and MCI-stable. CONCLUSIONS Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.
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Affiliation(s)
- Florian Hatz
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Martin Hardmeier
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Nina Benz
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Michael Ehrensperger
- Memory Clinic, University Center for Medicine of Aging Basel, Felix Platter Hospital, Basel, Switzerland.
| | - Ute Gschwandtner
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Stephan Rüegg
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Christian Schindler
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland.
| | - Andreas U Monsch
- Memory Clinic, University Center for Medicine of Aging Basel, Felix Platter Hospital, Basel, Switzerland.
| | - Peter Fuhr
- Department of Neurology, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
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Babiloni C, Del Percio C, Capotosto P, Noce G, Infarinato F, Muratori C, Marcotulli C, Bellagamba G, Righi E, Soricelli A, Onorati P, Lupattelli T. Cortical sources of resting state electroencephalographic rhythms differ in relapsing-remitting and secondary progressive multiple sclerosis. Clin Neurophysiol 2015; 127:581-590. [PMID: 26111485 DOI: 10.1016/j.clinph.2015.05.029] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 05/05/2015] [Accepted: 05/26/2015] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Resting state electroencephalographic (EEG) rhythms are abnormal in multiple sclerosis (MS) patients, but it is unclear if they can reflect different neurophysiologic abnormalities in MS sub-types (phenotypes) such as relapsing-remitting (RR) and secondary progressive (SP). METHODS We tested whether cortical sources of resting state EEG rhythms are abnormal in MS patients and differ between MS phenotypes. Resting state eyes-closed EEG activity was recorded in 36 RR, 23 SP, and 41 matched healthy subjects. EEG bands of interest were individually identified based on Transition frequency (TF), Individual alpha frequency (IAF), and Individual beta frequency (IBF). LORETA freeware estimated cortical EEG sources. RESULTS Widespread TF -4Hz (delta) and IAF (alpha) cortical sources were abnormal in the MS sub-groups compared to the control group. Furthermore, TF -4Hz sources in central, parietal, and limbic regions were higher in amplitude in the SP compared to the RR sub-group. CONCLUSION Cortical sources of resting state EEG rhythms are abnormal in MS patients at group level and differ between RR and SP sub-groups. SIGNIFICANCE Future studies should test the utility of these EEG markers in the diagnosis and management of MS clinical phenotypes and in the therapy evaluation.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy; IRCCS San Raffaele Pisana, Rome, Italy.
| | | | - Paolo Capotosto
- Department of Neuroscience and Imaging and Clinical Science, and ITAB, University "G. D'Annunzio", Chieti, Italy
| | | | | | - Chiara Muratori
- Istituto Clinico Cardiologico (ICC), Casalpalocco, Rome, Italy
| | - Christian Marcotulli
- Department of Sciences and Medical-Surgical Biotechnology, University of Rome "La Sapienza", Rome, Italy
| | | | - Elena Righi
- Istituto Clinico Cardiologico (ICC), Casalpalocco, Rome, Italy
| | - Andrea Soricelli
- IRCCS S.D.N., Naples, Italy; Department of Studies of Institutions and Territorial Systems, University of Naples "Parthenope", Naples, Italy
| | - Paolo Onorati
- Department of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy; Istituto Clinico Cardiologico (ICC), Casalpalocco, Rome, Italy
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Altered theta oscillations and aberrant cortical excitatory activity in the 5XFAD model of Alzheimer's disease. Neural Plast 2015; 2015:781731. [PMID: 25922768 PMCID: PMC4398951 DOI: 10.1155/2015/781731] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 03/18/2015] [Indexed: 11/18/2022] Open
Abstract
Alzheimer's disease (AD) is an age-related neurodegenerative disorder characterized by impairment of memory function. The 5XFAD mouse model was analyzed and compared with wild-type (WT) controls for aberrant cortical excitability and hippocampal theta oscillations by using simultaneous video-electroencephalogram (EEG) monitoring. Seizure staging revealed that 5XFAD mice exhibited cortical hyperexcitability whereas controls did not. In addition, 5XFAD mice displayed a significant increase in hippocampal theta activity from the light to dark phase during nonmotor activity. We also observed a reduction in mean theta frequency in 5XFAD mice compared to controls that was again most prominent during nonmotor activity. Transcriptome analysis of hippocampal probes and subsequent qPCR validation revealed an upregulation of Plcd4 that might be indicative of enhanced muscarinic signalling. Our results suggest that 5XFAD mice exhibit altered cortical excitability, hippocampal dysrhythmicity, and potential changes in muscarinic signaling.
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37
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Caplan JB, Bottomley M, Kang P, Dixon RA. Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging. Neuroimage 2015; 112:341-352. [PMID: 25769279 DOI: 10.1016/j.neuroimage.2015.03.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 02/10/2015] [Accepted: 03/01/2015] [Indexed: 10/23/2022] Open
Abstract
Rhythmic brain activity at low frequencies (<12Hz) during rest are thought to increase in neurodegenerative disease, but findings in healthy neurocognitive aging are mixed. Here we address two reasons conventional spectral analyses may have led to inconsistent results. First, spectral-power measures are compared to a baseline condition; when resting activity is the signal of interest, it is unclear what the baseline should be. Second, conventional methods do not clearly differentiate power due to rhythmic versus non-rhythmic activity. The Better OSCillation detection method (BOSC; Caplan et al., 2001; Whitten et al., 2011) avoids these problems by using the signal's own spectral characteristics as a reference to detect elevations in power lasting a few cycles. We recorded electroencephalographic (EEG) signal during rest, alternating eyes open and closed, in healthy younger (18-25 years) and older (60-74 years) participants. Topographic plots suggested the conventional and BOSC analyses measured different sources of activity, particularly at frequencies, like delta (1-4Hz), at which rhythms are sporadic; topographies were more similar in the 8-12Hz alpha band. There was little theta-band activity meeting the BOSC method's criteria, suggesting prior findings of theta power in healthy aging may reflect non-rhythmic signal. In contrast, delta oscillations were present at higher levels than theta in both age groups. In summary, applying strict and standardized criteria for rhythmicity, slow rhythms appear present in the resting brain at delta and alpha, but not theta frequencies, and appear unchanged in healthy aging.
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Affiliation(s)
- Jeremy B Caplan
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
| | - Monica Bottomley
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Pardeep Kang
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Roger A Dixon
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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8. Neurophysiologic mechanism of neural efficiency in humans: Can it explain performances of athletes and patients with neurodegenerative diseases? Clin Neurophysiol 2015. [DOI: 10.1016/j.clinph.2014.10.167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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39
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Babiloni C, Del Percio C, Boccardi M, Lizio R, Lopez S, Carducci F, Marzano N, Soricelli A, Ferri R, Triggiani AI, Prestia A, Salinari S, Rasser PE, Basar E, Famà F, Nobili F, Yener G, Emek-Savaş DD, Gesualdo L, Mundi C, Thompson PM, Rossini PM, Frisoni GB. Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease. Neurobiol Aging 2015; 36:556-70. [PMID: 25442118 PMCID: PMC4315728 DOI: 10.1016/j.neurobiolaging.2014.09.011] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Revised: 09/08/2014] [Accepted: 09/10/2014] [Indexed: 01/18/2023]
Abstract
Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8-10.5 Hz) and alpha 2 (10.5-13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy; Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy.
| | | | - Marina Boccardi
- LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy
| | - Roberta Lizio
- Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy
| | - Susanna Lopez
- Department of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy
| | - Filippo Carducci
- Department of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy
| | - Nicola Marzano
- Department of Integrated Imaging, IRCCS SDN, Napoli, Italy
| | - Andrea Soricelli
- Department of Integrated Imaging, IRCCS SDN, Napoli, Italy; Department of Studies of Institutions and Territorial Systems, University of Naples Parthenope, Naples, Italy
| | - Raffaele Ferri
- Department of Neurology, IRCCS Oasi Institute for Research on Mental Retardation and Brain Aging, Troina, Enna, Italy
| | | | - Annapaola Prestia
- LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy
| | - Serenella Salinari
- Department of Informatics and Systems "Antonio Ruberti", University of Rome "La Sapienza", Rome, Italy
| | - Paul E Rasser
- Centre for Translational Neuroscience & Mental Health Research, The University of Newcastle, Newcastle, New South Wales, Australia; Schizophrenia Research Institute, Darlinghurst, New South Wales, Australia
| | - Erol Basar
- Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey
| | - Francesco Famà
- Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy
| | - Görsev Yener
- Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey; Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey; Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey; Department of Neurology, Dokuz Eylül University Medical School, Izmir, Turkey
| | - Derya Durusu Emek-Savaş
- Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey; Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
| | - Loreto Gesualdo
- Dipartimento Emergenza e Trapianti d'Organi (D.E.T.O), University of Bari, Bari, Italy
| | - Ciro Mundi
- Department of Neurology, Ospedali Riuniti, Foggia, Italy
| | - Paul M Thompson
- Department of Neurology & Psychiatry, Imaging Genetics Center, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA
| | - Paolo M Rossini
- Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy; Department of Geriatrics, Neuroscience & Orthopedics, Institute of Neurology, Catholic University, Rome, Italy
| | - Giovanni B Frisoni
- LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy
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Babiloni C, Buffo P, Vecchio F, Onorati P, Muratori C, Ferracuti S, Roma P, Battuello M, Donato N, Noce G, Di Campli F, Gianserra L, Teti E, Aceti A, Soricelli A, Viscione M, Andreoni M, Rossini PM, Pennica A. Cortical sources of resting-state EEG rhythms in “experienced” HIV subjects under antiretroviral therapy. Clin Neurophysiol 2014; 125:1792-802. [DOI: 10.1016/j.clinph.2014.01.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Revised: 12/30/2013] [Accepted: 01/20/2014] [Indexed: 11/26/2022]
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41
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Tóth B, File B, Boha R, Kardos Z, Hidasi Z, Gaál ZA, Csibri É, Salacz P, Stam CJ, Molnár M. EEG network connectivity changes in mild cognitive impairment — Preliminary results. Int J Psychophysiol 2014; 92:1-7. [DOI: 10.1016/j.ijpsycho.2014.02.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Revised: 01/31/2014] [Accepted: 02/01/2014] [Indexed: 12/17/2022]
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42
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Rodriguez R, Lopera F, Alvarez A, Fernandez Y, Galan L, Quiroz Y, Bobes MA. Spectral Analysis of EEG in Familial Alzheimer's Disease with E280A Presenilin-1 Mutation Gene. Int J Alzheimers Dis 2014; 2014:180741. [PMID: 24551475 PMCID: PMC3914466 DOI: 10.1155/2014/180741] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Accepted: 10/13/2013] [Indexed: 11/17/2022] Open
Abstract
To evaluate the hypothesis that quantitative EEG (qEEG) analysis is susceptible to detect early functional changes in familial Alzheimer's disease (AD) preclinical stages. Three groups of subjects were selected from five extended families with hereditary AD: a Probable AD group (18 subjects), an asymptomatic carrier (ACr) group (21 subjects), with the mutation but without any clinical symptoms of dementia, and a normal group of 18 healthy subjects. In order to reveal significant differences in the spectral parameter, the Mahalanobis distance (D (2)) was calculated between groups. To evaluate the diagnostic efficiency of this statistic D (2), the ROC models were used. The ROC curve was summarized by accuracy index and standard deviation. The D (2) using the parameters of the energy in the fast frequency bands shows accurate discrimination between normal and ACr groups (area ROC = 0.89) and between AD probable and ACr groups (area ROC = 0.91). This is more significant in temporal regions. Theses parameters could be affected before the onset of the disease, even when cognitive disturbance is not clinically evident. Spectral EEG parameter could be firstly used to evaluate subjects with E280A Presenilin-1 mutation without impairment in cognitive function.
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Affiliation(s)
- Rene Rodriguez
- Clinical Neurophysiology Department, Cuban Neuroscience Center, Havana, CP 10400, Cuba
| | | | - Alfredo Alvarez
- Clinical Neurophysiology Department, Cuban Neuroscience Center, Havana, CP 10400, Cuba
| | - Yuriem Fernandez
- Cognitive Department, Cuban Neuroscience Center, Havana, CP 10400, Cuba
| | - Lidice Galan
- Cognitive Department, Cuban Neuroscience Center, Havana, CP 10400, Cuba
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Quantitative EEG and apolipoprotein E-genotype improve classification of patients with suspected Alzheimer’s disease. Clin Neurophysiol 2013; 124:2146-52. [DOI: 10.1016/j.clinph.2013.04.339] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Revised: 04/19/2013] [Accepted: 04/23/2013] [Indexed: 11/18/2022]
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44
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Capotosto P, Babiloni C, Romani GL, Corbetta M. Resting-state modulation of α rhythms by interference with angular gyrus activity. J Cogn Neurosci 2013; 26:107-19. [PMID: 23937690 DOI: 10.1162/jocn_a_00460] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The default mode network is active during restful wakefulness and suppressed during goal-driven behavior. We hypothesize that inhibitory interference with spontaneous ongoing, that is, not task-driven, activity in the angular gyrus (AG), one of the core regions of the default mode network, will enhance the dominant idling EEG alpha rhythms observed in the resting state. Fifteen right-handed healthy adult volunteers underwent to this study. Compared with sham stimulation, magnetic stimulation (1 Hz for 1 min) over both left and right AG, but not over FEF or intraparietal sulcus, core regions of the dorsal attention network, enhanced the dominant alpha power density (8-10 Hz) in occipitoparietal cortex. Furthermore, right AG-rTMS enhanced intrahemispheric alpha coherence (8-10 Hz). These results suggest that AG plays a causal role in the modulation of dominant low-frequency alpha rhythms in the resting-state condition.
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Babiloni C, Del Percio C, Lizio R, Marzano N, Infarinato F, Soricelli A, Salvatore E, Ferri R, Bonforte C, Tedeschi G, Montella P, Baglieri A, Rodriguez G, Famà F, Nobili F, Vernieri F, Ursini F, Mundi C, Frisoni GB, Rossini PM. Cortical sources of resting state electroencephalographic alpha rhythms deteriorate across time in subjects with amnesic mild cognitive impairment. Neurobiol Aging 2013; 35:130-42. [PMID: 23906617 DOI: 10.1016/j.neurobiolaging.2013.06.019] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Revised: 06/21/2013] [Accepted: 06/30/2013] [Indexed: 11/13/2022]
Abstract
Cortical sources of resting state electroencephalographic (EEG) rhythms are abnormal in subjects with mild cognitive impairment (MCI). Here, we tested the hypothesis that these sources in amnesic MCI subjects further deteriorate over 1 year. To this aim, the resting state eyes-closed EEG data were recorded in 54 MCI subjects at baseline (Mini Mental State Examination I = 26.9; standard error [SE], 0.2) and at approximately 1-year follow-up (13.8 months; SE, 0.5; Mini Mental State Examination II = 25.8; SE, 0.2). As a control, EEG recordings were also performed in 45 normal elderly and in 50 mild Alzheimer's disease subjects. EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), and beta2 (20-30 Hz). Cortical EEG sources were estimated using low-resolution brain electromagnetic tomography. Compared with the normal elderly and mild Alzheimer's disease subjects, the MCI subjects were characterized by an intermediate power of posterior alpha1 sources. In the MCI subjects, the follow-up EEG recordings showed a decreased power of posterior alpha1 and alpha2 sources. These results suggest that the resting state EEG alpha sources were sensitive-at least at the group level-to the cognitive decline occurring in the amnesic MCI group over 1 year, and might represent cost-effective, noninvasive and widely available markers to follow amnesic MCI populations in large clinical trials.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology, University of Rome La Sapienza, Rome, Italy.
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Amyloid Beta peptides differentially affect hippocampal theta rhythms in vitro. INTERNATIONAL JOURNAL OF PEPTIDES 2013; 2013:328140. [PMID: 23878547 PMCID: PMC3708430 DOI: 10.1155/2013/328140] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Accepted: 06/03/2013] [Indexed: 12/27/2022]
Abstract
Soluble amyloid beta peptide (A β ) is responsible for the early cognitive dysfunction observed in Alzheimer's disease. Both cholinergically and glutamatergically induced hippocampal theta rhythms are related to learning and memory, spatial navigation, and spatial memory. However, these two types of theta rhythms are not identical; they are associated with different behaviors and can be differentially modulated by diverse experimental conditions. Therefore, in this study, we aimed to investigate whether or not application of soluble A β alters the two types of theta frequency oscillatory network activity generated in rat hippocampal slices by application of the cholinergic and glutamatergic agonists carbachol or DHPG, respectively. Due to previous evidence that oscillatory activity can be differentially affected by different A β peptides, we also compared Aβ 25-35 and Aβ 1-42 for their effects on theta rhythms in vitro at similar concentrations (0.5 to 1.0 μ M). We found that Aβ 25-35 reduces, with less potency than Aβ 1-42, carbachol-induced population theta oscillatory activity. In contrast, DHPG-induced oscillatory activity was not affected by a high concentration of Aβ 25-35 but was reduced by Aβ 1-42. Our results support the idea that different amyloid peptides might alter specific cellular mechanisms related to the generation of specific neuronal network activities, instead of exerting a generalized inhibitory effect on neuronal network function.
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López Zunini RA, Thivierge JP, Kousaie S, Sheppard C, Taler V. Alterations in resting-state activity relate to performance in a verbal recognition task. PLoS One 2013; 8:e65608. [PMID: 23785436 PMCID: PMC3681977 DOI: 10.1371/journal.pone.0065608] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2013] [Accepted: 05/01/2013] [Indexed: 11/18/2022] Open
Abstract
In the brain, resting-state activity refers to non-random patterns of intrinsic activity occurring when participants are not actively engaged in a task. We monitored resting-state activity using electroencephalogram (EEG) both before and after a verbal recognition task. We show a strong positive correlation between accuracy in verbal recognition and pre-task resting-state alpha power at posterior sites. We further characterized this effect by examining resting-state post-task activity. We found marked alterations in resting-state alpha power when comparing pre- and post-task periods, with more pronounced alterations in participants that attained higher task accuracy. These findings support a dynamical view of cognitive processes where patterns of ongoing brain activity can facilitate –or interfere– with optimal task performance.
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Affiliation(s)
- Rocío A López Zunini
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada ; Bruyère Research Institute, Ottawa, Ontario, Canada.
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Babiloni C, Del Percio C, Bordet R, Bourriez JL, Bentivoglio M, Payoux P, Derambure P, Dix S, Infarinato F, Lizio R, Triggiani AI, Richardson JC, Rossini PM. Effects of acetylcholinesterase inhibitors and memantine on resting-state electroencephalographic rhythms in Alzheimer’s disease patients. Clin Neurophysiol 2013; 124:837-50. [DOI: 10.1016/j.clinph.2012.09.017] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Revised: 09/21/2012] [Accepted: 09/24/2012] [Indexed: 10/27/2022]
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49
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Başar E, Başar-Eroğlu C, Güntekin B, Yener GG. Brain's alpha, beta, gamma, delta, and theta oscillations in neuropsychiatric diseases. APPLICATION OF BRAIN OSCILLATIONS IN NEUROPSYCHIATRIC DISEASES - SELECTED PAPERS FROM “BRAIN OSCILLATIONS IN COGNITIVE IMPAIRMENT AND NEUROTRANSMITTERS” CONFERENCE, ISTANBUL, TURKEY, 29 APRIL–1 MAY 2011 2013; 62:19-54. [DOI: 10.1016/b978-0-7020-5307-8.00002-8] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
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50
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Tartaglione A, Spadavecchia L, Maculotti M, Bandini F. Resting state in Alzheimer's disease: a concurrent analysis of Flash-Visual Evoked Potentials and quantitative EEG. BMC Neurol 2012. [PMID: 23190493 PMCID: PMC3527189 DOI: 10.1186/1471-2377-12-145] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To investigate to what extent Alzheimer's Disease (AD) affects Resting State activity, the possible impairment of independent electrophysiological parameters was determined in Eye-open and Eye-closed Conditions. Specifically, Flash-Visual Evoked Potential (F-VEP) and quantitative EEG (q-EEG) were examined to establish whether abnormalities of the former were systematically associated with changes of the latter. METHODS Concurrently recorded F-VEP and q-EEG were comparatively analysed under Eye-open and Eye-closed Conditions in 11 Controls and 19 AD patients presenting a normal Pattern-Visual Evoked Potential (P-VEP). Between Condition differences in latencies of P2 component were matched to variations in spectral components of q-EEG. RESULTS P2 latency increased in 10 AD patients with Abnormal Latency (AD-AL) under Eye-closed Condition. In these patients reduction of alpha activity joined an increased delta power so that their spectral profile equated that recorded under Eye-open Condition. On the opposite, in Controls as well as in AD patients with Normal P2 Latency (AD-NL) spectral profiles recorded under Eye-open and Eye-closed Conditions significantly differed from each other. At the baseline, under Eye-open Condition, the spectra overlapped each other in the three Groups. CONCLUSION Under Eye-closed Condition AD patients may present a significant change in both F-VEP latency and EEG rhythm modulation. The presence of concurrent changes of independent parameters suggests that the neurodegenerative process can impair a control system active in Eye-closed Condition which the electrophysiological parameters depend upon. F-VEP can be viewed as a reliable marker of such impairment.
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