1
|
Appavu BL, Temkit MH, Hanalioglu D, Burrows BT, Adelson PD. Quantitative Electroencephalographic Changes Associated With Brain Tissue Hypoxia After Pediatric Traumatic Brain Injury: A Retrospective Exploratory Analysis. J Clin Neurophysiol 2024; 41:214-220. [PMID: 37195275 DOI: 10.1097/wnp.0000000000001015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023] Open
Abstract
PURPOSE Brain tissue hypoxia is associated with poor outcomes after pediatric traumatic brain injury. Although invasive brain oxygenation (PbtO 2 ) monitoring is available, noninvasive methods assessing correlates to brain tissue hypoxia are needed. We investigated EEG characteristics associated with brain tissue hypoxia. METHODS We performed a retrospective analysis of 19 pediatric traumatic brain injury patients undergoing multimodality neuromonitoring that included PbtO 2 and quantitative electroencephalography(QEEG). Quantitative electroencephalography characteristics were analyzed over electrodes adjacent to PbtO 2 monitoring and over the entire scalp, and included power in alpha and beta frequencies and the alpha-delta power ratio. To investigate relationships of PbtO 2 to quantitative electroencephalography features using time series data, we fit linear mixed effects models with a random intercept for each subject and one fixed effect, and an auto-regressive order of 1 to model between-subject variation and correlation for within-subject observations. Least squares (LS) means were used to investigate for fixed effects of quantitative electroencephalography features to changes in PbtO 2 across thresholds of 10, 15, 20, and 25 mm Hg. RESULTS Within the region of PbtO 2 monitoring, changes in PbtO 2 < 10 mm Hg were associated with reductions of alpha-delta power ratio (LS mean difference -0.01, 95% confidence interval (CI) [-0.02, -0.00], p = 0.0362). Changes in PbtO 2 < 25 mm Hg were associated with increases in alpha power (LS mean difference 0.04, 95% CI [0.01, 0.07], p = 0.0222). CONCLUSIONS Alpha-delta power ratio changes are observed across a PbtO 2 threshold of 10 mm Hg within regions of PbtO 2 monitoring, which may reflect an EEG signature of brain tissue hypoxia after pediatric traumatic brain injury.
Collapse
Affiliation(s)
- Brian L Appavu
- Department of Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona U.S.A.; and
- Department of Child Health, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona U.S.A
| | - M Hamed Temkit
- Department of Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona U.S.A.; and
| | - Damla Hanalioglu
- Department of Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona U.S.A.; and
| | - Brian T Burrows
- Department of Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona U.S.A.; and
| | - P David Adelson
- Department of Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona U.S.A.; and
| |
Collapse
|
2
|
Yin Q, Johnson EL, Ofen N. Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies. Dev Cogn Neurosci 2023; 64:101312. [PMID: 37837918 PMCID: PMC10589793 DOI: 10.1016/j.dcn.2023.101312] [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: 07/04/2023] [Revised: 09/26/2023] [Accepted: 10/08/2023] [Indexed: 10/16/2023] Open
Abstract
The quest to understand how the development of the brain supports the development of complex cognitive functions is fueled by advances in cognitive neuroscience methods. Intracranial EEG (iEEG) recorded directly from the developing human brain provides unprecedented spatial and temporal resolution for mapping the neurophysiological mechanisms supporting cognitive development. In this paper, we focus on episodic memory, the ability to remember detailed information about past experiences, which improves from childhood into adulthood. We review memory effects based on broadband spectral power and emphasize the importance of isolating narrowband oscillations from broadband activity to determine mechanisms of neural coordination within and between brain regions. We then review evidence of developmental variability in neural oscillations and present emerging evidence linking the development of neural oscillations to the development of memory. We conclude by proposing that the development of oscillations increases the precision of neural coordination and may be an essential factor underlying memory development. More broadly, we demonstrate how recording neural activity directly from the developing brain holds immense potential to advance our understanding of cognitive development.
Collapse
Affiliation(s)
- Qin Yin
- Department of Psychology, Wayne State University, Detroit, MI, USA; Life-span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA
| | - Elizabeth L Johnson
- Departments of Medical Social Sciences and Pediatrics, Northwestern University, Chicago, IL, USA; Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Noa Ofen
- Department of Psychology, Wayne State University, Detroit, MI, USA; Life-span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA.
| |
Collapse
|
3
|
Booth SJ, Garg S, Brown LJE, Green J, Pobric G, Taylor JR. Aberrant oscillatory activity in neurofibromatosis type 1: an EEG study of resting state and working memory. J Neurodev Disord 2023; 15:27. [PMID: 37608248 PMCID: PMC10463416 DOI: 10.1186/s11689-023-09492-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 06/30/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Neurofibromatosis type 1 (NF1) is a genetic neurodevelopmental disorder commonly associated with impaired cognitive function. Despite the well-explored functional roles of neural oscillations in neurotypical populations, only a limited number of studies have investigated oscillatory activity in the NF1 population. METHODS We compared oscillatory spectral power and theta phase coherence in a paediatric sample with NF1 (N = 16; mean age: 13.03 years; female: n = 7) to an age/sex-matched typically developing control group (N = 16; mean age: 13.34 years; female: n = 7) using electroencephalography measured during rest and during working memory task performance. RESULTS Relative to typically developing children, the NF1 group displayed higher resting state slow wave power and a lower peak alpha frequency. Moreover, higher theta power and frontoparietal theta phase coherence were observed in the NF1 group during working memory task performance, but these differences disappeared when controlling for baseline (resting state) activity. CONCLUSIONS Overall, results suggest that NF1 is characterised by aberrant resting state oscillatory activity that may contribute towards the cognitive impairments experienced in this population. TRIAL REGISTRATION ClinicalTrials.gov, NCT03310996 (first posted: October 16, 2017).
Collapse
Affiliation(s)
- Samantha J Booth
- Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Shruti Garg
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Child & Adolescent Mental Health Services, Royal Manchester Children's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Laura J E Brown
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jonathan Green
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Child & Adolescent Mental Health Services, Royal Manchester Children's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Gorana Pobric
- Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jason R Taylor
- Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
| |
Collapse
|
4
|
McSweeney M, Morales S, Valadez EA, Buzzell GA, Yoder L, Fifer WP, Pini N, Shuffrey LC, Elliott AJ, Isler JR, Fox NA. Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood. Neuroimage 2023; 269:119925. [PMID: 36739102 DOI: 10.1016/j.neuroimage.2023.119925] [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: 06/12/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023] Open
Abstract
Age-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-related trends that reflect perceptual, cognitive, and behavioural states as well as their underlying neurophysiology. The aim of the current study was to investigate age-related change in aperiodic and periodic alpha activity across a large sample of pre- and school-aged children (N = 502, age range 4 -11-years-of-age). Power spectra were extracted from baseline EEG recordings (eyes closed, eyes open) for each participant and parameterized into aperiodic activity to derive the offset and exponent parameters and periodic alpha oscillatory activity to derive the alpha peak frequency and the associated power estimates. Multilevel models were run to investigate age-related trends and condition-dependent changes for each of these measures. We found quadratic age-related effects for both the aperiodic offset and exponent. In addition, we observed increases in periodic alpha peak frequency as a function of age. Aperiodic measures and periodic alpha power were larger in magnitude during eyes closed compared to the eyes open baseline condition. Taken together, these results advance our understanding of the maturational patterns/trajectories of brain development during early- to middle-childhood.
Collapse
Affiliation(s)
- Marco McSweeney
- Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA.
| | - Santiago Morales
- Department of Psychology, University of Southern California, USA
| | - Emilio A Valadez
- Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA
| | - George A Buzzell
- Department of Psychology and the Center for Children and Families, Florida International University, USA
| | - Lydia Yoder
- Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA
| | - William P Fifer
- Department of Psychiatry, Columbia University Irving Medical Center, New York, USA; Department of Paediatrics, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USA
| | - Nicolò Pini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USA
| | - Lauren C Shuffrey
- Department of Psychiatry, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USA
| | - Amy J Elliott
- Avera Research Institute, USA; Department of Paediatrics, University of South Dakota School of Medicine, USA
| | - Joseph R Isler
- Department of Paediatrics, Columbia University Irving Medical Center, New York, USA
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA
| |
Collapse
|
5
|
Labonte AK, Kafashan M, Huels ER, Blain-Moraes S, Basner M, Kelz MB, Mashour GA, Avidan MS, Palanca BJA. The posterior dominant rhythm: an electroencephalographic biomarker for cognitive recovery after general anaesthesia. Br J Anaesth 2023; 130:e233-e242. [PMID: 35183346 PMCID: PMC9900730 DOI: 10.1016/j.bja.2022.01.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/22/2021] [Accepted: 01/09/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND The posterior dominant rhythm (PDR) was the first oscillatory pattern noted in the EEG. Evoked by wakeful eyelid closure, these oscillations dissipate over seconds during loss of arousal. The peak frequency of the PDR maintains stability over years, suggesting utility as a state biomarker in the surveillance of acute cognitive impairments. This EEG signature has not been systematically investigated for tracking cognitive dysfunction after anaesthetic-induced loss of consciousness. METHODS This substudy of Reconstructing Consciousness and Cognition (NCT01911195) investigated the PDR and cognitive function in 60 adult volunteers randomised to either 3 h of isoflurane general anaesthesia or resting wakefulness. Serial measurements of EEG power and cognitive task performance were assessed relative to pre-intervention baseline. Mixed-effects models allowed quantification of PDR and neurocognitive trajectories after return of responsiveness (ROR). RESULTS Individuals in the control group showed stability in the PDR peak frequency over several hours (median difference/inter-quartile range [IQR] of 0.02/0.20 Hz, P=0.39). After isoflurane general anaesthesia, the PDR peak frequency was initially reduced at ROR (median difference/IQR of 0.88/0.65 Hz, P<0.001). PDR peak frequency recovered at a rate of 0.20 Hz h-1. After ROR, the PDR peak frequency correlated with reaction time and accuracy on multiple cognitive tasks (P<0.001). CONCLUSION The temporal trajectory of the PDR peak frequency could be a useful perioperative marker for tracking cognitive dysfunction on the order of hours after surgery, particularly for cognitive domains of working memory, visuomotor speed, and executive function. CLINICAL TRIAL REGISTRATION NCT01911195.
Collapse
Affiliation(s)
- Alyssa K Labonte
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - MohammadMehdi Kafashan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, Missouri
| | - Emma R Huels
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Department of Anesthesiology, Center for Consciousness Science and Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Stefanie Blain-Moraes
- School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada
| | - Mathias Basner
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Max B Kelz
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - George A Mashour
- Department of Anesthesiology, Center for Consciousness Science and Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, Missouri; Department of Surgery, Division of Cardiothoracic Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Ben Julian A Palanca
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, Missouri; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
| |
Collapse
|
6
|
Normative Structure of Resting-State EEG in Bipolar Derivations for Daily Clinical Practice: A Pilot Study. Brain Sci 2023; 13:brainsci13020167. [PMID: 36831710 PMCID: PMC9953767 DOI: 10.3390/brainsci13020167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
We used numerical methods to define the normative structure of resting-state EEG (rsEEG) in a pilot study of 37 healthy subjects (10-74 years old), using a double-banana bipolar montage. Artifact-free 120-200 s epoch lengths were visually identified and divided into 1 s windows with a 10% overlap. Differential channels were grouped by frontal, parieto-occipital, and temporal lobes. For every channel, the power spectrum was calculated and used to compute the area for delta (0-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) bands and was log-transformed. Furthermore, Shannon's spectral entropy (SSE) and coherence by bands were computed. Finally, we also calculated the main frequency and amplitude of the posterior dominant rhythm. According to the age-dependent distribution of the bands, we divided the patients in the following three groups: younger than 20; between 21 and 50; and older than 51 years old. The distribution of bands and coherence was different for the three groups depending on the brain lobes. We described the normative equations for the three age groups and for every brain lobe. We showed the feasibility of a normative structure of rsEEG picked up with a double-banana montage.
Collapse
|
7
|
Freschl J, Azizi LA, Balboa L, Kaldy Z, Blaser E. The development of peak alpha frequency from infancy to adolescence and its role in visual temporal processing: A meta-analysis. Dev Cogn Neurosci 2022; 57:101146. [PMID: 35973361 PMCID: PMC9399966 DOI: 10.1016/j.dcn.2022.101146] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/21/2022] [Accepted: 08/08/2022] [Indexed: 01/19/2023] Open
Abstract
While it has been shown that alpha frequency increases over development (Stroganova et al., 1999), a precise trajectory has not yet been specified, making it challenging to constrain theories linking alpha rhythms to perceptual development. We conducted a comprehensive review of studies measuring resting-state occipital peak alpha frequency (PAF, the frequency exhibiting maximum power) from birth to 18 years of age. From 889 potentially relevant studies, we identified 40 reporting PAF (109 samples; 3882 subjects). A nonlinear regression revealed that PAF increases quickly in early childhood (from 6.1 Hz at 6 months to 8.4 Hz at 5 years) and levels off in adolescence (9.7 Hz at 13 years), with an asymptote at 10.1 Hz. We found no effect of resting state procedure (eyes-open versus eyes-closed) or biological sex. PAF has been implicated as a clock on visual temporal processing, with faster frequencies associated with higher visual temporal resolution. Psychophysical studies have shown that temporal resolution reaches adult levels by 5 years of age (Freschl et al., 2019, 2020). The fact that PAF reaches the adult range of 8-12 Hz by that age strengthens the link between PAF and temporal resolution.
Collapse
Affiliation(s)
- Julie Freschl
- University of Massachusetts Boston, Boston, MA, USA; Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA.
| | | | | | - Zsuzsa Kaldy
- University of Massachusetts Boston, Boston, MA, USA
| | - Erik Blaser
- University of Massachusetts Boston, Boston, MA, USA
| |
Collapse
|
8
|
Tröndle M, Popov T, Dziemian S, Langer N. Decomposing the role of alpha oscillations during brain maturation. eLife 2022; 11:e77571. [PMID: 36006005 PMCID: PMC9410707 DOI: 10.7554/elife.77571] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/26/2022] [Indexed: 12/21/2022] Open
Abstract
Childhood and adolescence are critical stages of the human lifespan, in which fundamental neural reorganizational processes take place. A substantial body of literature investigated accompanying neurophysiological changes, focusing on the most dominant feature of the human EEG signal: the alpha oscillation. Recent developments in EEG signal-processing show that conventional measures of alpha power are confounded by various factors and need to be decomposed into periodic and aperiodic components, which represent distinct underlying brain mechanisms. It is therefore unclear how each part of the signal changes during brain maturation. Using multivariate Bayesian generalized linear models, we examined aperiodic and periodic parameters of alpha activity in the largest openly available pediatric dataset (N=2529, age 5-22 years) and replicated these findings in a preregistered analysis of an independent validation sample (N=369, age 6-22 years). First, the welldocumented age-related decrease in total alpha power was replicated. However, when controlling for the aperiodic signal component, our findings provided strong evidence for an age-related increase in the aperiodic-adjusted alpha power. As reported in previous studies, also relative alpha power revealed a maturational increase, yet indicating an underestimation of the underlying relationship between periodic alpha power and brain maturation. The aperiodic intercept and slope decreased with increasing age and were highly correlated with total alpha power. Consequently, earlier interpretations on age-related changes of total alpha power need to be reconsidered, as elimination of active synapses rather links to decreases in the aperiodic intercept. Instead, analyses of diffusion tensor imaging data indicate that the maturational increase in aperiodic-adjusted alpha power is related to increased thalamocortical connectivity. Functionally, our results suggest that increased thalamic control of cortical alpha power is linked to improved attentional performance during brain maturation.
Collapse
Affiliation(s)
- Marius Tröndle
- Department of Psychology, University of Zurich, Methods of Plasticity ResearchZurichSwitzerland
- University Research Priority Program (URPP) Dynamic of Healthy AgingZurichSwitzerland
| | - Tzvetan Popov
- Department of Psychology, University of Zurich, Methods of Plasticity ResearchZurichSwitzerland
- University Research Priority Program (URPP) Dynamic of Healthy AgingZurichSwitzerland
| | - Sabine Dziemian
- Department of Psychology, University of Zurich, Methods of Plasticity ResearchZurichSwitzerland
- University Research Priority Program (URPP) Dynamic of Healthy AgingZurichSwitzerland
| | - Nicolas Langer
- Department of Psychology, University of Zurich, Methods of Plasticity ResearchZurichSwitzerland
- University Research Priority Program (URPP) Dynamic of Healthy AgingZurichSwitzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich & ETH ZurichZurichSwitzerland
| |
Collapse
|
9
|
Güntekin B, Aktürk T, Arakaki X, Bonanni L, Del Percio C, Edelmayer R, Farina F, Ferri R, Hanoğlu L, Kumar S, Lizio R, Lopez S, Murphy B, Noce G, Randall F, Sack AT, Stocchi F, Yener G, Yıldırım E, Babiloni C. Are there consistent abnormalities in event-related EEG oscillations in patients with Alzheimer's disease compared to other diseases belonging to dementia? Psychophysiology 2022; 59:e13934. [PMID: 34460957 DOI: 10.1111/psyp.13934] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 07/31/2021] [Accepted: 08/09/2021] [Indexed: 01/30/2023]
Abstract
Cerebrospinal and structural-molecular neuroimaging in-vivo biomarkers are recommended for diagnostic purposes in Alzheimer's disease (AD) and other dementias; however, they do not explain the effects of AD neuropathology on neurophysiological mechanisms underpinning cognitive processes. Here, an Expert Panel from the Electrophysiology Professional Interest Area of the Alzheimer's Association reviewed the field literature and reached consensus on the event-related electroencephalographic oscillations (EROs) that show consistent abnormalities in patients with significant cognitive deficits due to Alzheimer's, Parkinson's (PD), Lewy body (LBD), and cerebrovascular diseases. Converging evidence from oddball paradigms showed that, as compared to cognitively unimpaired (CU) older adults, AD patients had lower amplitude in widespread delta (>4 Hz) and theta (4-7 Hz) phase-locked EROs as a function of disease severity. Similar effects were also observed in PD, LBD, and/or cerebrovascular cognitive impairment patients. Non-phase-locked alpha (8-12 Hz) and beta (13-30 Hz) oscillations were abnormally reduced (event-related desynchronization, ERD) in AD patients relative to CU. However, studies on patients with other dementias remain lacking. Delta and theta phase-locked EROs during oddball tasks may be useful neurophysiological biomarkers of cognitive systems at work in heuristic and intervention clinical trials performed in AD patients, but more research is needed regarding their potential role for other dementias.
Collapse
Affiliation(s)
- Bahar Güntekin
- Research Institute for Health Sciences and Technologies (SABITA), Regenerative and Restorative Medicine Research Center (REMER), Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey
- Department of Biophysics, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Tuba Aktürk
- Research Institute for Health Sciences and Technologies (SABITA), Regenerative and Restorative Medicine Research Center (REMER), Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey
- Vocational School, Program of Electroneurophysiology, Istanbul Medipol University, Istanbul, Turkey
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | | | - Laura Bonanni
- Department of Neuroscience Imaging and Clinical Sciences and CESI, University G d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Claudio Del Percio
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Francesca Farina
- School of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Lütfü Hanoğlu
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Sanjeev Kumar
- Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Susanna Lopez
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | | | | | - Fiona Randall
- Vertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA
| | - Alexander T Sack
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Fabrizio Stocchi
- Institute for Research and Medical Care, IRCCS San Raffaele Pisana, Rome, Italy
| | - Görsev Yener
- Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, Izmir, Turkey
| | - Ebru Yıldırım
- Research Institute for Health Sciences and Technologies (SABITA), Regenerative and Restorative Medicine Research Center (REMER), Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey
- Vocational School, Program of Electroneurophysiology, Istanbul Medipol University, Istanbul, Turkey
| | - Claudio Babiloni
- Alzheimer's Association, Chicago, Illinois, USA
- Institute for Research and Medical Care, Hospital San Raffaele of Cassino, Cassino, Italy
| |
Collapse
|
10
|
Salim AA, Ali SH, Hussain AM, Ibrahim WN. Electroencephalographic evidence of gray matter lesions among multiple sclerosis patients: A case-control study. Medicine (Baltimore) 2021; 100:e27001. [PMID: 34414988 PMCID: PMC8376360 DOI: 10.1097/md.0000000000027001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 07/30/2021] [Indexed: 01/04/2023] Open
Abstract
This study aimed to investigate evidence of gray matter brain lesions in multiple sclerosis (MS) patients by evaluating the resting state alpha rhythm of brain electrical activity.The study included 50 patients diagnosed with MS recruited from the MS clinic with 50 age and gender-matched control participants. The study investigated parameters of posterior dominant rhythm (PDR) in the electroencephalography (EEG) recordings including wave frequency and amplitude. Functional disability among the patients was evaluated according to the expanded disability status scale. Univariate statistical analysis was completed using one-way analysis of variance and t test with a P value of less than .05 to indicate statistical significance.Patients with MS had significantly lower PDR frequency and amplitude values compared to the controls (P value < .01) and 34% of the MS patients had a PDR frequency of less than 8.5 Hz. The PDR frequency was negatively associated with the level of functional disability among the patients (P value <.001) and 4% of the patients had abnormal epileptiform discharges.Background slowing of resting alpha rhythms and epileptiform discharges are suggestive of gray matter degeneration and may help in the prediction and follow-up of cortical damage and functional disabilities among MS patients. Therefore, electroencephalography monitoring of the PDR spectrum may serve as an alternative or complementary tool with other imaging techniques to detect and monitor cerebral cortical lesions.
Collapse
Affiliation(s)
| | - Safaa Hussain Ali
- Department of Physiology, College of Medicine, University of Al-Mustansiriyah, Baghdad, Iraq
| | | | - Wisam Nabeel Ibrahim
- Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit, QU Health, Qatar University, Doha, Qatar
| |
Collapse
|
11
|
Cellier D, Riddle J, Petersen I, Hwang K. The development of theta and alpha neural oscillations from ages 3 to 24 years. Dev Cogn Neurosci 2021; 50:100969. [PMID: 34174512 PMCID: PMC8249779 DOI: 10.1016/j.dcn.2021.100969] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/14/2021] [Accepted: 05/29/2021] [Indexed: 10/27/2022] Open
Abstract
Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral organization that undergoes continuous refinement from childhood through adolescence. The goal of this study was to investigate the development of theta (4-8 Hertz) and alpha (8-12 Hertz) oscillations from early childhood to adulthood (years 3-24), as these oscillations play a fundamental role in cognitive function. We analyzed eyes-open, resting-state EEG data from 96 participants to estimate genuine oscillations separately from the aperiodic (1/f) signal. We examined age-related differences in the aperiodic signal (slope and offset), as well as the peak frequency and power of the dominant posterior oscillation. For the aperiodic signal, we found that both the aperiodic slope and offset decreased with age. For the dominant oscillation, we found that peak frequency, but not power, increased with age. Critically, early childhood (ages 3-7) was characterized by a dominance of theta oscillations in posterior electrodes, whereas peak frequency of the dominant oscillation in the alpha range increased between ages 7 and 24. Furthermore, theta oscillations displayed a topographical transition from dominance in posterior electrodes in early childhood to anterior electrodes in adulthood. Our results provide a quantitative description of the development of theta and alpha oscillations.
Collapse
Affiliation(s)
- Dillan Cellier
- University of Iowa, Department of Psychological and Brain Sciences, United States; University of Iowa, Iowa Neuroscience Institute, United States.
| | - Justin Riddle
- University of North Carolina, Chapel Hill, Department of Psychiatry, United States
| | - Isaac Petersen
- University of Iowa, Department of Psychological and Brain Sciences, United States; University of Iowa, Iowa Neuroscience Institute, United States
| | - Kai Hwang
- University of Iowa, Department of Psychological and Brain Sciences, United States; University of Iowa, Iowa Neuroscience Institute, United States
| |
Collapse
|
12
|
Jakovljević T, Janković MM, Savić AM, Soldatović I, Mačužić I, Jakulin TJ, Papa G, Ković V. The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender. PLoS One 2021; 16:e0252622. [PMID: 34125863 PMCID: PMC8202909 DOI: 10.1371/journal.pone.0252622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/19/2021] [Indexed: 11/18/2022] Open
Abstract
In recent decades reported findings regarding gender differences in reading achievement, cognitive abilities and maturation process in boys and girls are conflicting. As reading is one of the most important processes in the maturation of an individual, the aim of the study was to better understand gender differences between primary school students. The study evaluates differences in Heart Rate Variability (HRV), Electroencephalography (EEG), Electrodermal Activities (EDA) and eye movement of participants during the reading task. Taking into account that colour may affect reading skills, in that it affects the emotional and physiological state of the body, the research attempts to provide a better understanding of gender differences in reading through examining the effect of colour, as applied to reading content. The physiological responses of 50 children (25 boys and 25 girls) to 12 different background and overlay colours of reading content were measured and summarised during the reading process. Our findings show that boys have shorter reading duration scores and a longer Saccade Count, Saccade Duration Total, and Saccade Duration Average when reading on a coloured background, especially purple, which could be caused by their motivation and by the type of reading task. Also, the boys had higher values for the Delta band and the Whole Range of EEG measurements in comparison to the girls when reading on coloured backgrounds, which could reflect the faster maturation of the girls. Regarding EDA measurements we did not find systematic differences between groups either on white or on coloured/overlay background. We found the most significant differences arose in the HRV parameters, namely (SDNN (ms), STD HR (beats/min), RMSSD (ms), NN50 (beats), pNN50 (%), CVRR) when children read the text on coloured/overlay backgrounds, where the girls showed systematically higher values on HRV measurements in comparison to the boys, mostly with yellow, red, and orange overlay colours.
Collapse
Affiliation(s)
- Tamara Jakovljević
- Sensor Technologies, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
| | - Milica M. Janković
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
| | - Andrej M. Savić
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
| | - Ivan Soldatović
- Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Ivan Mačužić
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
| | | | | | - Vanja Ković
- Laboratory for Neurocognition and Applied Cognition, Faculty of Philosophy, University of Belgrade, Belgrade, Serbia
| |
Collapse
|
13
|
Zibrandtsen IC, Kjaer TW. Fully automatic peak frequency estimation of the posterior dominant rhythm in a large retrospective hospital EEG cohort. Clin Neurophysiol Pract 2021; 6:1-9. [PMID: 33385100 PMCID: PMC7771042 DOI: 10.1016/j.cnp.2020.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/26/2020] [Accepted: 11/09/2020] [Indexed: 11/25/2022] Open
Abstract
Fully automatic estimation of the peak frequency of the posterior dominant rhythm. Automatic estimates are very similar to human ratings. Algorithm made available with a simple graphical interface.
Objective To develop and test a fully automated method for estimation of the peak frequency of the posterior dominant rhythm (PDR) in a large retrospective EEG cohort. Methods Thresholding was used to select suitable EEG data segments for spectral estimation for electrode O1 and O2. A random sample of 100 peak frequency estimates were blindly rated by two independent raters to validate the results of the automatic PDR peak frequency estimates. We investigated the relationship with age, sex and binary EEG classification. Results There were 9197 eligible EEGs which resulted in a total of 6104 PDR peak frequency estimates. The relationship between automatic estimates and age was found to be consistent with the literature. The correlation between human ratings and automatic scoring was very high, rho = 0.94–0.95. There was a sex difference of d = 0.33 emerging at puberty with females having a faster PDR peak frequency than males. Conclusions Fully automatic PDR peak frequency estimation not dependent on annotated EEG produced results that are very close to human ratings. Significance PDR peak frequency can be automatically estimated. A compiled version of the algorithm is included as an app for independent use.
Collapse
Affiliation(s)
- Ivan C. Zibrandtsen
- Neurological Department, Zealand University Hospital, Roskilde, Denmark
- Corresponding author at: Department of Neurology, Zealand University Hospital, Sygehusvej 10, 4000 Roskilde, Denmark.
| | - Troels W. Kjaer
- Neurological Department, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
14
|
Berger C, Dück A, Perin F, Wunsch K, Buchmann J, Kölch M, Reis O, Marx I. Brain Arousal as Measured by EEG-Assessment Differs Between Children and Adolescents With Attention-Deficit/Hyperactivity Disorder (ADHD) and Depression. Front Psychiatry 2021; 12:633880. [PMID: 34777030 PMCID: PMC8581225 DOI: 10.3389/fpsyt.2021.633880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 09/23/2021] [Indexed: 11/28/2022] Open
Abstract
Objective: Disturbed regulation of vigilance in the wake state seems to play a key role in the development of mental disorders. It is assumed that hyperactivity in adult ADHD is an attempt to increase a general low vigilance level via external stimulation in order to avoid drowsiness. For depression, the avoidance of stimulation is interpreted as a reaction to a tonic increased vigilance state. Although ADHD is assumed to start during childhood, this vigilance model has been barely tested with children diagnosed for ADHD so far. Methods: Resting-state EEG (8 min) measures from two groups of children diagnosed with either ADHD [N = 76 (16 female, 60 male), age: (mean/SD) 118/33 months] or depression [N = 94 (73 female, 21 male), age: 184/23 months] were analyzed. Using the VIGALL toolbox, EEG patterns of vigilance level, and regulation were derived and compared between both groups. In correlation analysis, the relations between vigilance measures, attentional test performance (alertness and inhibition), and mental health symptoms were analyzed. Results: Children with ADHD differed from children with most prominent depressive symptoms in brain arousal regulation and level, but EEG vigilance was not related to behavior problems and not related to the attentional test performance. Brain arousal was dependent on the age of the participant in the whole sample; younger children showed lower vigilance stages than teenagers; this effect was not present when analyzed separately for each diagnostic group. EEG assessment time and received medication had no effect on the EEG vigilance. Discussion: Although based on a small sample, this explorative research revealed that EEG vigilance level is different between children with ADHD and with depression. Moreover, even the standard procedure of the clinical routine EEG (resting state) can be used to differentiate brain arousal states between participants with ADHD and depression. Because routine EEG is not specialized to vigilance assessment, it may not be sufficiently sensitive to find vigilance-symptomatology associations. Further research should address developmental changes in EEG measurements in children and use bigger samples of participants within the same age range.
Collapse
Affiliation(s)
- Christoph Berger
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Alexander Dück
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Felicitas Perin
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Katharina Wunsch
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Johannes Buchmann
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Michael Kölch
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Olaf Reis
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| | - Ivo Marx
- Department of Psychiatry, Neurology, Psychosomatics, and Psychotherapy in Childhood and Adolescence, Rostock University Medical Center, Rostock, Germany
| |
Collapse
|
15
|
Güntekin B, Uzunlar H, Çalışoğlu P, Eroğlu-Ada F, Yıldırım E, Aktürk T, Atay E, Ceran Ö. Theta and alpha oscillatory responses differentiate between six-to seven-year-old children and adults during successful visual and auditory memory encoding. Brain Res 2020; 1747:147042. [PMID: 32758480 DOI: 10.1016/j.brainres.2020.147042] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/23/2020] [Accepted: 07/30/2020] [Indexed: 11/16/2022]
Abstract
The healthy maturation of the brain is one of the intriguing topics that need to be investigated to understand human brain and child development. The present study aimed to investigate the development of memory processes both for auditory and visual memory using electroencephalography (EEG)-Brain Dynamics methodologies. Sixteen healthy children between the ages of 6 and 7 years and eighteen healthy young adults (age: 21.32 ± 3.28 years) were included in the study. EEG was recorded from 18 channels during the visual and auditory memory paradigms. Two different subtests of the WISC-IV IQ test were applied to all children. Event-related theta (4-7 Hz), alpha (8-13 Hz) power and phase-locking were analyzed. The young adults had higher memory performance than the children for both auditory and visual paradigms. The children had increased theta phase-locking and left alpha power in response to the remembered objects in comparison to the forgotten objects. The young adults had higher theta and alpha phase-locking than the children over the frontal and central locations (p < 0.05), and the children had higher parietal-occipital alpha phase-locking than the young adults. There was an increase in alpha power in children, whereas young adults had decreased post-stimulus alpha power in response to memory paradigms. The present study showed that frontocentral theta and alpha phase-locking had an essential role in brain maturation and successful memory performance. Event-related theta and alpha responses could be one of the important indicators of the mature and healthy brain, and these responses could change depending on the maturation state and age.
Collapse
Affiliation(s)
- Bahar Güntekin
- Istanbul Medipol University, School of Medicine, Department of Biophysics, Istanbul, Turkey; Istanbul Medipol University, REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul, Turkey.
| | - Hakan Uzunlar
- Istanbul Medipol University, REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul, Turkey; Istanbul Medipol University, Graduate School of Health Sciences, Department of Neuroscience, Istanbul, Turkey
| | - Pervin Çalışoğlu
- Istanbul Medipol University, REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul, Turkey; Istanbul Medipol University, Graduate School of Health Sciences, Department of Neuroscience, Istanbul, Turkey
| | - Figen Eroğlu-Ada
- Istanbul Medipol University, Humanities and Social Sciences, Department of Psychology, Istanbul, Turkey
| | - Ebru Yıldırım
- Istanbul Medipol University, REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul, Turkey; Istanbul Medipol University, Graduate School of Health Sciences, Department of Neuroscience, Istanbul, Turkey; Istanbul Medipol University, Vocational School, Program of Electroneurophysiology, Istanbul, Turkey
| | - Tuba Aktürk
- Istanbul Medipol University, REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul, Turkey; Istanbul Medipol University, Graduate School of Health Sciences, Department of Neuroscience, Istanbul, Turkey; Istanbul Medipol University, Vocational School, Program of Electroneurophysiology, Istanbul, Turkey
| | - Enver Atay
- Istanbul Medipol University, School of Medicine, Department of Pediatrics, Istanbul, Turkey
| | - Ömer Ceran
- Istanbul Medipol University, School of Medicine, Department of Pediatrics, Istanbul, Turkey
| |
Collapse
|
16
|
Lyakso E, Frolova O, Matveev Y. Speech Features and Electroencephalogram Parameters in 4- to 11-Year-Old Children. Front Behav Neurosci 2020; 14:30. [PMID: 32231524 PMCID: PMC7088452 DOI: 10.3389/fnbeh.2020.00030] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 02/12/2020] [Indexed: 11/13/2022] Open
Abstract
The goal of the study is to investigate a correlation between different levels of speech organization, indicating the physiological processes of maturation of the vocal tract structures and brain regions associated with speech and language, and basic electroencephalogram (EEG) rhythms, reflecting the age-related dynamics of maturation of brain structures in children aged 4-11 years. The complex method of analysis, including EEG registration, clinical and spectral analysis of EEG; dichotic listening, identifying the profile of functional lateral asymmetry (PFLA), and phonemic hearing of the child; recording, linguistic, and acoustic analysis of child speech; and identification of speech characteristics reflecting the formation of its different levels, was used. Two complementary experimental series were conducted: the correlation between EEG parameters, speech features, dichotic listening, the PFLA, and phonemic hearing of the child in the age dynamics of 4-11 years (first); the specificity of EEG patterns in children at different stages of reading skills formation (second). The result of this study showed the correlation between acoustic and linguistic features of child speech and brain activity. The analysis of EEG and acoustic features of child speech revealed the correlation between pitch and pitch range values in spontaneous speech and theta-rhythm intensity in EEG. High values of pitch and its variation in younger children (4-6 years) are related to the intensity of theta rhythm in the EEG pattern, as this rhythm is most expressed in younger children. It was revealed that the alpha rhythm is asymmetrically localized in children with clear pronunciation of words (which determines the intelligibility of their speech) that is typical for 6.5- to 11-year-old children. The formation of reading skills in a child is associated with a change in the characteristics of the alpha rhythm-from irregular, unstable, low frequency, and low amplitude in children at the beginning of reading skills mastering to medium and low amplitude, regular, asymmetrically localized in children reading words and phrases. The specifics of the relation between brain activity and different levels of speech formation at different child's age periods are discussed.
Collapse
Affiliation(s)
- Elena Lyakso
- Laboratory of Child Speech Research Group, Department of Higher Nervous Activity and Psychophysiology, Saint Petersburg State University, Saint Petersburg, Russia
| | - Olga Frolova
- Laboratory of Child Speech Research Group, Department of Higher Nervous Activity and Psychophysiology, Saint Petersburg State University, Saint Petersburg, Russia
| | - Yuri Matveev
- Laboratory of Child Speech Research Group, Department of Higher Nervous Activity and Psychophysiology, Saint Petersburg State University, Saint Petersburg, Russia
| |
Collapse
|
17
|
Wallace J, Selmaoui B. Effect of mobile phone radiofrequency signal on the alpha rhythm of human waking EEG: A review. ENVIRONMENTAL RESEARCH 2019; 175:274-286. [PMID: 31146099 DOI: 10.1016/j.envres.2019.05.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 05/14/2023]
Abstract
In response to the exponential increase in mobile phone use and the resulting increase in exposure to radiofrequency electromagnetic fields (RF-EMF), there have been several studies to investigate via electroencephalography (EEG) whether RF-EMF exposure affects brain activity. Data in the literature have shown that exposure to radiofrequency signals modifies the waking EEG with the main effect on the alpha band frequency (8-13 Hz). However, some studies have reported an increase in alpha band power, while others have shown a decrease, and other studies showed no effect on EEG power. Given that changes in the alpha amplitude are associated with attention and some cognitive aspects of human behavior, researchers deemed necessary to look whether alpha rhythm was modulated under RF-EMF exposure. The present review aims at comparing and discussing the main findings obtained so far regarding RF-EMF effects on alpha rhythm of human waking spontaneous EEG, focusing on differences in protocols between studies, which might explain the observed discrepancies and inconclusive results.
Collapse
Affiliation(s)
- Jasmina Wallace
- Experimental Toxicology Unit, National Institute of Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France; PériTox Laboratory, UMR-I-01, Faculty of Medicine, University of Picardy Jules Verne, Amiens, France
| | - Brahim Selmaoui
- Experimental Toxicology Unit, National Institute of Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France; PériTox Laboratory, UMR-I-01, Faculty of Medicine, University of Picardy Jules Verne, Amiens, France.
| |
Collapse
|
18
|
Barlaam F, Fortin C, Vaugoyeau M, Schmitz C, Assaiante C. Mu-oscillation changes related to the development of anticipatory postural control in children and adolescents. J Neurophysiol 2018; 120:129-138. [DOI: 10.1152/jn.00637.2017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Anticipatory postural adjustments (APAs) cancel the destabilizing effects of movement on posture. Across development, the maturation of APAs is characterized by an accurate adjustment of the timing parameters of electromyographic (EMG) response. The study aimed at investigating the maturation of cortical oscillations involved in the improvement of APAs efficiency. Thirty-six healthy participants (8–16 yr) performed the bimanual load-lifting task in which subjects are instructed to lift a load, placed on the left forearm, with the right hand. EMG data were acquired over the biceps brachii on the postural arm to the determine EMG response onset. Electroencephalographic signals were analyzed in the time-frequency domain by convolution with complex Gaussian Morlet wavelets. Electrophysiological signature of APAs in children and adolescents consisted of a mu-rhythm desynchronization over the sensorimotor cortex contralateral to the postural arm. Across development, the mu-rhythm desynchronization was characterized by a progressive shift forward of the onset of the desynchronization, lower amplitude, and velocity. These changes occurred along with an alteration of the timing of the EMG response, as shown by an earlier onset of the flexor inhibition with increasing age. The maturational changes in the Mu-oscillations might sustain the development of APAs. A possible role of the Mu-oscillation in the generation of postural command is discussed. NEW & NOTEWORTHY Across development, our study showed a progressive shift forward of the parameters of the mu-rhythm desynchronization. These changes occurred along with an alteration of the timing parameters of the electromyographic response, as shown by an earlier onset of the flexor inhibition with increasing age. The progressive development of APAs during childhood and adolescence might therefore be sustained by maturational electrophysiological changes that include mu-rhythm oscillation modifications in the postural sensorimotor cortex.
Collapse
Affiliation(s)
- Fanny Barlaam
- Laboratoire de Neurosciences Cognitives, CNRS, Aix Marseille Université, Marseille, France
- Fédération 3C, CNRS, Aix Marseille University, Marseille, France
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, DYCOG Team, Centre Hospitalier Le Vinatier, Bron, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Carole Fortin
- Laboratoire de Neurosciences Cognitives, CNRS, Aix Marseille Université, Marseille, France
- Fédération 3C, CNRS, Aix Marseille University, Marseille, France
| | - Marianne Vaugoyeau
- Laboratoire de Neurosciences Cognitives, CNRS, Aix Marseille Université, Marseille, France
- Fédération 3C, CNRS, Aix Marseille University, Marseille, France
| | - Christina Schmitz
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, DYCOG Team, Centre Hospitalier Le Vinatier, Bron, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Christine Assaiante
- Laboratoire de Neurosciences Cognitives, CNRS, Aix Marseille Université, Marseille, France
- Fédération 3C, CNRS, Aix Marseille University, Marseille, France
| |
Collapse
|
19
|
Electrocortical measures of information processing biases in social anxiety disorder: A review. Biol Psychol 2017; 129:324-348. [DOI: 10.1016/j.biopsycho.2017.09.013] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 09/18/2017] [Accepted: 09/23/2017] [Indexed: 01/06/2023]
|
20
|
Rodríguez-Martínez EI, Ruiz-Martínez FJ, Barriga Paulino CI, Gómez CM. Frequency shift in topography of spontaneous brain rhythms from childhood to adulthood. Cogn Neurodyn 2016; 11:23-33. [PMID: 28174610 DOI: 10.1007/s11571-016-9402-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 07/13/2016] [Accepted: 08/12/2016] [Indexed: 10/21/2022] Open
Abstract
It has been described that the frequency ranges at which theta, mu and alpha rhythms oscillate is increasing with age. The present report, by analyzing the spontaneous EEG, tries to demonstrate whether there is an increase with age in the frequency at which the cortical structures oscillate. A topographical approach was followed. The spontaneous EEG of one hundredand seventy subjects was recorded. The spectral power (from 0.5 to 45.5 Hz) was obtained by means of the Fast Fourier Transform. Correlations of spatial topographies among the different age groups showed that older groups presented the same topographical maps as younger groups, but oscillating at higher frequencies. The results suggest that the same brain areas oscillate at lower frequencies in children than in older groups, for a broad frequency range. This shift to a higher frequency with age would be a trend in spontaneous brain rhythm development.
Collapse
Affiliation(s)
- E I Rodríguez-Martínez
- Human Psychobiology Lab, Department of Experimental Psychology, University of Sevilla, Sevilla, Spain
| | - F J Ruiz-Martínez
- Human Psychobiology Lab, Department of Experimental Psychology, University of Sevilla, Sevilla, Spain
| | - C I Barriga Paulino
- Human Psychobiology Lab, Department of Experimental Psychology, University of Sevilla, Sevilla, Spain
| | - Carlos M Gómez
- Human Psychobiology Lab, Department of Experimental Psychology, University of Sevilla, Sevilla, Spain
| |
Collapse
|
21
|
Recent Advances in Resting-State Electroencephalography Biomarkers for Autism Spectrum Disorder-A Review of Methodological and Clinical Challenges. Pediatr Neurol 2016; 61:28-37. [PMID: 27255413 DOI: 10.1016/j.pediatrneurol.2016.03.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 03/20/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Electroencephalography (EEG) has been used for almost a century to identify seizure-related disorders in humans, typically through expert interpretation of multichannel recordings. Attempts have been made to quantify EEG through frequency analyses and graphic representations. These "traditional" quantitative EEG analysis methods were limited in their ability to analyze complex and multivariate data and have not been generally accepted in clinical settings. There has been growing interest in identification of novel EEG biomarkers to detect early risk of autism spectrum disorder, to identify clinically meaningful subgroups, and to monitor targeted intervention strategies. Most studies to date have, however, used quantitative EEG approaches, and little is known about the emerging multivariate analytical methods or the robustness of candidate biomarkers in the context of the variability of autism spectrum disorder. METHODS Here, we present a targeted review of methodological and clinical challenges in the search for novel resting-state EEG biomarkers for autism spectrum disorder. RESULTS Three primary novel methodologies are discussed: (1) modified multiscale entropy, (2) coherence analysis, and (3) recurrence quantification analysis. Results suggest that these methods may be able to classify resting-state EEG as "autism spectrum disorder" or "typically developing", but many signal processing questions remain unanswered. CONCLUSIONS We suggest that the move to novel EEG analysis methods is akin to the progress in neuroimaging from visual inspection, through region-of-interest analysis, to whole-brain computational analysis. Novel resting-state EEG biomarkers will have to evaluate a range of potential demographic, clinical, and technical confounders including age, gender, intellectual ability, comorbidity, and medication, before these approaches can be translated into the clinical setting.
Collapse
|
22
|
Soroko SI, Shemyakina NV, Nagornova ZV, Bekshaev SS. Longitudinal study of EEG frequency maturation and power changes in children on the Russian North. Int J Dev Neurosci 2014; 38:127-37. [PMID: 25219895 DOI: 10.1016/j.ijdevneu.2014.08.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2014] [Revised: 07/18/2014] [Accepted: 08/04/2014] [Indexed: 10/24/2022] Open
Abstract
The aim of the study was to reveal longitudinal changes in electroencephalogram spectral power and frequency (percentage frequency composition of EEG and alpha peak frequency) patterns in normal children from northern Russia. Fifteen children (9 girls and 6 boys) participated in the study. The resting state (eyes closed) EEGs were recorded yearly (2005-2013) from age 8 to age 16-17 for each child. EEG frequency patterns were estimated as the percentages of waves with a 1 Hz step revealed by measuring the interval durations between points crossing zero (isoline) by a curve. EEG spectral power changes were analyzed for delta (1.5-4 Hz), theta (4-7.5 Hz), alpha-1 (7.5-9.5 Hz), alpha-2 (9.5-12.5 Hz), beta-1 (12.5-18 Hz) and beta-2 (18-30 Hz) bands. According to the frequency composition of the EEG signals fast synchronous, polymorphous synchronous, polymorphous desynchronous and slow synchronous types of children EEG were revealed. These EEG types were relatively stable during adolescence. In these EEG types, the frequency patterns and spectral power dynamics with age had several common and specific features. Slow wave percentage and spectral power in the delta band remarkably decreased with age in all groups. Starting from the theta band the EEG types were characterized by different EEG spectral power changes with age. In fast synchronous EEG type, the theta and alpha-1 EEG power decreased, and the alpha-2 power increased in the occipital and parietal areas. The polymorphous synchronous type was characterized by increased both the alpha-1 and alpha-2 power with regional peculiarities. In the polymorphous desynchronous type spectral power in all bands decreased with age, and in the slow synchronous type, the alpha-1 power massively increased with age. Obtained results suggest predictive strength of the spatial-frequency patterns in EEG for its following maturation through the years.
Collapse
Affiliation(s)
- S I Soroko
- I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (IEPhB RAS), Laboratory of Comparative Ecological and Physiological Studies, Toreza, 44, 194223 Saint-Petersburg, Russia
| | - N V Shemyakina
- I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (IEPhB RAS), Laboratory of Comparative Ecological and Physiological Studies, Toreza, 44, 194223 Saint-Petersburg, Russia.
| | - Zh V Nagornova
- I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (IEPhB RAS), Laboratory of Comparative Ecological and Physiological Studies, Toreza, 44, 194223 Saint-Petersburg, Russia
| | - S S Bekshaev
- I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (IEPhB RAS), Laboratory of Comparative Ecological and Physiological Studies, Toreza, 44, 194223 Saint-Petersburg, Russia
| |
Collapse
|
23
|
Shibasaki H, Nakamura M, Sugi T, Nishida S, Nagamine T, Ikeda A. Automatic interpretation and writing report of the adult waking electroencephalogram. Clin Neurophysiol 2014; 125:1081-94. [DOI: 10.1016/j.clinph.2013.12.114] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2013] [Revised: 12/03/2013] [Accepted: 12/17/2013] [Indexed: 11/28/2022]
|
24
|
Abstract
The objective of this study was to identify the relationship between lambda waves (LWs) and other occipital waveforms, in a retrospective analysis of electroencephalograms (EEGs) of clinic and hospitalized patients at a single center. The LWs were correlated with α rhythm, photic driving, and positive occipital sharp transients of sleep (POSTS). A computer-generated cursor quantified amplitude and duration of POSTS and LWs (3 waveforms and both hemispheres). Fisher exact test was used for significance (P ≤ .05). A total of 116 patients were evaluated. Of 111 patients, with interpretable results, 74 (66.67%) had visual scanning during EEG, with 37 (50.0%) having LWs. The LWs (17.69 µV) were consistently smaller than POSTS (31.40 µV) despite similar morphology. Patients with an α rhythm of >8.5 Hz were strongly correlated with the presence of LWs (P < .0001), and those with LWs were strongly predictive of normal EEG (P = .001). Of the 37 patients, 27 (73.0%) with LWs had photic driving (P = .0496). No correlation was found between LWs and POSTS (P = .45). The presence of LWs and a low normal posterior dominant rhythm (PDR) suggests intact electrocerebral health. LWs and the photic driving response suggest similar generators but stimulus-specific networks. POSTS differ from LWs despite similar morphology, suggesting different network activation of occipital generators. LWs have clinical significance in excluding encephalopathy. Occipital generators are differentiated by state and stimulus-dependent network activation and not by location and morphology.
Collapse
|
25
|
Spontaneous theta rhythm and working memory co-variation during child development. Neurosci Lett 2013; 550:134-8. [DOI: 10.1016/j.neulet.2013.06.054] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 06/23/2013] [Accepted: 06/24/2013] [Indexed: 11/21/2022]
|
26
|
Langrová J, Kremláček J, Kuba M, Kubová Z, Szanyi J. Gender impact on electrophysiological activity of the brain. Physiol Res 2013; 61:S119-27. [PMID: 23130897 DOI: 10.33549/physiolres.932421] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Gender is presumed to be one of the factors causing interindividual variability in the brain's electrophysiological parameters. Our aim was to characterize the role of gender in visual evoked potentials (VEPs), event-related potentials (ERPs), visual mismatch negativity (vMMN) and the spectral characteristics of the EEG. We examined 42 healthy volunteers (21 women and 21 men, aged 20-29 years). We measured VEPs in response to pattern-reversal and motion-onset stimulation, ERPs in an oddball paradigm and vMMN in response to a combination of motion directions presented in the visual periphery. P100 peak latency for 40' reversal VEPs was significantly shorter in women than in men as determined using a non-parametric Wilcoxon signed-rank test. In addition, women showed higher relative EEG spectral power in the alpha band (p=0.023) and lower power in the theta band (p=0.004). Our results in this small but homogeneous group of subjects confirm previously reported gender influences on pattern-reversal VEPs and the EEG frequency spectrum. Gender should be taken into consideration in establishing norms on these measures. We found no statistically significant differences between women and men for any of the other stimuli presented.
Collapse
Affiliation(s)
- J Langrová
- Department of Pathophysiology, Faculty of Medicine in Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic.
| | | | | | | | | |
Collapse
|
27
|
Quantification of the adult EEG background pattern. Clin Neurophysiol 2013; 124:228-37. [DOI: 10.1016/j.clinph.2012.07.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Revised: 07/04/2012] [Accepted: 07/14/2012] [Indexed: 11/20/2022]
|
28
|
A review of alpha activity in integrative brain function: Fundamental physiology, sensory coding, cognition and pathology. Int J Psychophysiol 2012; 86:1-24. [DOI: 10.1016/j.ijpsycho.2012.07.002] [Citation(s) in RCA: 189] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2012] [Revised: 07/02/2012] [Accepted: 07/08/2012] [Indexed: 11/23/2022]
|
29
|
Martinez EIR, Barriga-Paulino CI, Zapata MI, Chinchilla C, López-Jiménez AM, Gómez CM. Narrow band quantitative and multivariate electroencephalogram analysis of peri-adolescent period. BMC Neurosci 2012; 13:104. [PMID: 22920159 PMCID: PMC3480931 DOI: 10.1186/1471-2202-13-104] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2012] [Accepted: 08/09/2012] [Indexed: 11/20/2022] Open
Abstract
Background The peri-adolescent period is a crucial developmental moment of transition from childhood to emergent adulthood. The present report analyses the differences in Power Spectrum (PS) of the Electroencephalogram (EEG) between late childhood (24 children between 8 and 13 years old) and young adulthood (24 young adults between 18 and 23 years old). Results The narrow band analysis of the Electroencephalogram was computed in the frequency range of 0–20 Hz. The analysis of mean and variance suggested that six frequency ranges presented a different rate of maturation at these ages, namely: low delta, delta-theta, low alpha, high alpha, low beta and high beta. For most of these bands the maturation seems to occur later in anterior sites than posterior sites. Correlational analysis showed a lower pattern of correlation between different frequencies in children than in young adults, suggesting a certain asynchrony in the maturation of different rhythms. The topographical analysis revealed similar topographies of the different rhythms in children and young adults. Principal Component Analysis (PCA) demonstrated the same internal structure for the Electroencephalogram of both age groups. Principal Component Analysis allowed to separate four subcomponents in the alpha range. All these subcomponents peaked at a lower frequency in children than in young adults. Conclusions The present approaches complement and solve some of the incertitudes when the classical brain broad rhythm analysis is applied. Children have a higher absolute power than young adults for frequency ranges between 0-20 Hz, the correlation of Power Spectrum (PS) with age and the variance age comparison showed that there are six ranges of frequencies that can distinguish the level of EEG maturation in children and adults. The establishment of maturational order of different frequencies and its possible maturational interdependence would require a complete series including all the different ages.
Collapse
|
30
|
Gmehlin D, Thomas C, Weisbrod M, Walther S, Resch F, Oelkers-Ax R. Development of brain synchronisation within school-age – Individual analysis of resting (alpha) coherence in a longitudinal data set. Clin Neurophysiol 2011; 122:1973-83. [DOI: 10.1016/j.clinph.2011.03.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Revised: 03/06/2011] [Accepted: 03/19/2011] [Indexed: 10/18/2022]
|
31
|
Lodder SS, van Putten MJ. Automated EEG analysis: Characterizing the posterior dominant rhythm. J Neurosci Methods 2011; 200:86-93. [DOI: 10.1016/j.jneumeth.2011.06.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2011] [Revised: 06/13/2011] [Accepted: 06/14/2011] [Indexed: 11/30/2022]
|
32
|
Cragg L, Kovacevic N, McIntosh AR, Poulsen C, Martinu K, Leonard G, Paus T. Maturation of EEG power spectra in early adolescence: a longitudinal study. Dev Sci 2011; 14:935-43. [PMID: 21884309 DOI: 10.1111/j.1467-7687.2010.01031.x] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lucy Cragg
- School of Psychology, University of Nottingham, UK.
| | | | | | | | | | | | | |
Collapse
|
33
|
Gmehlin D, Thomas C, Weisbrod M, Walther S, Pfüller U, Resch F, Oelkers‐Ax R. Individual analysis of EEG background‐activity within school age: impact of age and sex within a longitudinal data set. Int J Dev Neurosci 2010; 29:163-70. [DOI: 10.1016/j.ijdevneu.2010.11.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2010] [Revised: 11/12/2010] [Accepted: 11/29/2010] [Indexed: 11/30/2022] Open
Affiliation(s)
- Dennis Gmehlin
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
| | - Christine Thomas
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
- Department of Geriatric PsychiatryCentre of Psychiatry and Psychotherapy, Ev. Hospital Bielefeld‐BethelGermany
| | - Matthias Weisbrod
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
- Psychiatric DepartmentSRH Clinical CentreKarlsbad‐LangensteinbachGermany
| | - Stephan Walther
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
| | - Ute Pfüller
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
- Psychiatric DepartmentSRH Clinical CentreKarlsbad‐LangensteinbachGermany
| | - Franz Resch
- Department of Child and Adolescent PsychiatryUniversity of HeidelbergGermany
| | - Rieke Oelkers‐Ax
- Section of Experimental Psychopathology and Neurophysiology, Department of PsychiatryUniversity of HeidelbergVoss‐Straße 469115HeidelbergGermany
- Department of Child and Adolescent PsychiatryUniversity of HeidelbergGermany
| |
Collapse
|
34
|
Shackman AJ, McMenamin BW, Maxwell JS, Greischar LL, Davidson RJ. Identifying robust and sensitive frequency bands for interrogating neural oscillations. Neuroimage 2010; 51:1319-33. [PMID: 20304076 DOI: 10.1016/j.neuroimage.2010.03.037] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2009] [Revised: 03/07/2010] [Accepted: 03/11/2010] [Indexed: 11/26/2022] Open
Abstract
Recent years have seen an explosion of interest in using neural oscillations to characterize the mechanisms supporting cognition and emotion. Oftentimes, oscillatory activity is indexed by mean power density in predefined frequency bands. Some investigators use broad bands originally defined by prominent surface features of the spectrum. Others rely on narrower bands originally defined by spectral factor analysis (SFA). Presently, the robustness and sensitivity of these competing band definitions remains unclear. Here, a Monte Carlo-based SFA strategy was used to decompose the tonic ("resting" or "spontaneous") electroencephalogram (EEG) into five bands: delta (1-5Hz), alpha-low (6-9Hz), alpha-high (10-11Hz), beta (12-19Hz), and gamma (>21Hz). This pattern was consistent across SFA methods, artifact correction/rejection procedures, scalp regions, and samples. Subsequent analyses revealed that SFA failed to deliver enhanced sensitivity; narrow alpha sub-bands proved no more sensitive than the classical broadband to individual differences in temperament or mean differences in task-induced activation. Other analyses suggested that residual ocular and muscular artifact was the dominant source of activity during quiescence in the delta and gamma bands. This was observed following threshold-based artifact rejection or independent component analysis (ICA)-based artifact correction, indicating that such procedures do not necessarily confer adequate protection. Collectively, these findings highlight the limitations of several commonly used EEG procedures and underscore the necessity of routinely performing exploratory data analyses, particularly data visualization, prior to hypothesis testing. They also suggest the potential benefits of using techniques other than SFA for interrogating high-dimensional EEG datasets in the frequency or time-frequency (event-related spectral perturbation, event-related synchronization/desynchronization) domains.
Collapse
Affiliation(s)
- Alexander J Shackman
- Wisconsin Psychiatric Institute and Clinics, Departments of Psychology and Psychiatry, University of Wisconsin-Madison, WI 53706, USA.
| | | | | | | | | |
Collapse
|
35
|
Electrophysiological changes during adolescence: A review. Brain Cogn 2010; 72:86-100. [PMID: 19914761 DOI: 10.1016/j.bandc.2009.10.003] [Citation(s) in RCA: 180] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2009] [Accepted: 10/15/2009] [Indexed: 12/28/2022]
|
36
|
van der Stelt O. Development of human EEG posterior alpha rhythms. Clin Neurophysiol 2008; 119:1701-1702. [DOI: 10.1016/j.clinph.2008.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2008] [Revised: 04/03/2008] [Accepted: 04/04/2008] [Indexed: 10/22/2022]
|