1
|
Grootjans Y, Harrewijn A, Fornari L, Janssen T, de Bruijn ERA, van Atteveldt N, Franken IHA. Getting closer to social interactions using electroencephalography in developmental cognitive neuroscience. Dev Cogn Neurosci 2024; 67:101391. [PMID: 38759529 PMCID: PMC11127236 DOI: 10.1016/j.dcn.2024.101391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/19/2024] Open
Abstract
The field of developmental cognitive neuroscience is advancing rapidly, with large-scale, population-wide, longitudinal studies emerging as a key means of unraveling the complexity of the developing brain and cognitive processes in children. While numerous neuroscientific techniques like functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS) have proved advantageous in such investigations, this perspective proposes a renewed focus on electroencephalography (EEG), leveraging underexplored possibilities of EEG. In addition to its temporal precision, low costs, and ease of application, EEG distinguishes itself with its ability to capture neural activity linked to social interactions in increasingly ecologically valid settings. Specifically, EEG can be measured during social interactions in the lab, hyperscanning can be used to study brain activity in two (or more) people simultaneously, and mobile EEG can be used to measure brain activity in real-life settings. This perspective paper summarizes research in these three areas, making a persuasive argument for the renewed inclusion of EEG into the toolkit of developmental cognitive and social neuroscientists.
Collapse
Affiliation(s)
- Yvette Grootjans
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands.
| | - Anita Harrewijn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Laura Fornari
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | - Tieme Janssen
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | | | - Nienke van Atteveldt
- Department of Clinical, Neuro, and Developmental Psychology & Institute LEARN!, Vrije Universiteit Amsterdam, the Netherlands
| | - Ingmar H A Franken
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| |
Collapse
|
2
|
Tan E, Troller-Renfree SV, Morales S, Buzzell GA, McSweeney M, Antúnez M, Fox NA. Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research. Dev Cogn Neurosci 2024; 67:101404. [PMID: 38852382 PMCID: PMC11214181 DOI: 10.1016/j.dcn.2024.101404] [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: 11/02/2023] [Revised: 05/28/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024] Open
Abstract
The theta band is one of the most prominent frequency bands in the electroencephalography (EEG) power spectrum and presents an interesting paradox: while elevated theta power during resting state is linked to lower cognitive abilities in children and adolescents, increased theta power during cognitive tasks is associated with higher cognitive performance. Why does theta power, measured during resting state versus cognitive tasks, show differential correlations with cognitive functioning? This review provides an integrated account of the functional correlates of theta across different contexts. We first present evidence that higher theta power during resting state is correlated with lower executive functioning, attentional abilities, language skills, and IQ. Next, we review research showing that theta power increases during memory, attention, and cognitive control, and that higher theta power during these processes is correlated with better performance. Finally, we discuss potential explanations for the differential correlations between resting/task-related theta and cognitive functioning, and offer suggestions for future research in this area.
Collapse
Affiliation(s)
- Enda Tan
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20740, USA.
| | | | - Santiago Morales
- Department of Psychology, University of Southern California, CA 90007, USA
| | - George A Buzzell
- Department of Psychology, Florida International University, FL 33199, USA
| | - Marco McSweeney
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA
| | - Martín Antúnez
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20740, USA
| |
Collapse
|
3
|
Hernandez A, Sania A, Bowers ME, Leach SC, McSweeney M, Yoder L, Fifer W, Elliott AJ, Shuffrey L, Rauh V, Him DA, Fox NA, Morales S. Examining the impact of prenatal maternal internalizing symptoms and socioeconomic status on children's frontal alpha asymmetry and psychopathology. Dev Psychobiol 2024; 66:e22476. [PMID: 38433442 DOI: 10.1002/dev.22476] [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: 08/18/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 03/05/2024]
Abstract
Prenatal maternal internalizing psychopathology (depression and anxiety) and socioeconomic status (SES) have been independently associated with higher risk for internalizing and externalizing problems in children. However, the pathways behind these associations are not well understood. Numerous studies have linked greater right frontal alpha asymmetry to internalizing problems; however, findings have been mixed. Several studies have also linked maternal internalizing psychopathology to children's frontal alpha asymmetry. Additionally, emerging studies have linked SES to children's frontal alpha asymmetry. To date, only a limited number of studies have examined these associations within a longitudinal design, and the majority have utilized relatively small samples. The current preregistered study utilizes data from a large prospective study of young children (N = 415; Meanage = 7.27 years; Rangeage = 5-11 years) to examine the association between prenatal maternal internalizing symptoms, children's frontal alpha asymmetry, and behavior problems. Prenatal maternal internalizing symptoms did not predict children's frontal alpha asymmetry, and there was no association between frontal alpha asymmetry and behavior problems. However, mothers' internalizing symptoms during pregnancy predicted children's internalizing and externalizing outcomes. Non-preregistered analyses showed that lower prenatal maternal SES predicted greater child right frontal alpha asymmetry and internalizing problems. Additional non-preregistered analyses did not find evidence for frontal alpha asymmetry as a moderator of the relation between prenatal maternal internalizing psychopathology and SES to children's behavior problems. Future research should examine the impact of SES on children's frontal alpha asymmetry in high-risk samples.
Collapse
Affiliation(s)
- Alexis Hernandez
- Department of Psychology, University of Southern California, Los Angeles, California, USA
| | - Ayesha Sania
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA
| | - Maureen E Bowers
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, College Park, Maryland, USA
| | - Stephanie C Leach
- Department of Psychological & Brain Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Marco McSweeney
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, College Park, Maryland, USA
| | - Lydia Yoder
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, College Park, Maryland, USA
| | - William Fifer
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA
| | - Amy J Elliott
- Avera Research Institute, Sioux Falls, South Dakota, USA
| | - Lauren Shuffrey
- Department of Psychiatry, Columbia University Irving Medical Center, New York, New York, USA
| | - Virginia Rauh
- Heilbrunn Department of Population and Family Health, Columbia University, New York, New York, USA
| | | | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland - College Park, College Park, Maryland, USA
| | - Santiago Morales
- Department of Psychology, University of Southern California, Los Angeles, California, USA
| |
Collapse
|
4
|
Liu Y, Hampton Wray A, Hall M, Lescht ER, Gehring WJ, Fitzgerald KD, Chang SE. Brain response to errors in children who stutter. JOURNAL OF FLUENCY DISORDERS 2024; 79:106035. [PMID: 38160505 PMCID: PMC10939925 DOI: 10.1016/j.jfludis.2023.106035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 12/20/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE Heightened rates of social anxiety have been reported in adults who stutter (AWS), but it is unclear whether anxiety is heightened also in children who stutter (CWS). Objective neurophysiological responses such as the error-related negativity (ERN) have been associated with anxiety, and ERN was reported to be increased in AWS. In this study, we examined whether ERN and error positivity (Pe) are increased in CWS. We further characterized ERN associations with age and anxiety in CWS relative to children who do not stutter (CWNS). METHODS EEG data were recorded from twenty-four CWS and twenty-four matched CWNS aged 3-9 years as they performed a Go/No-Go task. Parent-reported anxiety, and child-reported speech-associated attitude measures were collected. Linear regression models tested the effects of age, group, and their interaction, and the effects of anxiety, group, and their interaction on ERN and Pe. RESULTS Contrary to expectations, no ERN or Pe difference were observed between CWS and CWNS. However, larger ERN amplitudes were associated with older age in CWS but not CWNS, suggesting altered development of the error monitoring system in CWS. Association of Pe with anxiety also differed between groups: smaller Pe amplitudes were associated with higher level of parent-reported child anxiety in CWNS but not in CWS. Neither anxiety nor self-reported communication attitude differed between groups. CONCLUSIONS Brain responses to errors were overall comparable between CWS and CWNS. However, CWS differed in how error monitoring responses varied with age and with anxiety levels. More research is warranted to examine how these factors contribute to persistent stuttering.
Collapse
Affiliation(s)
- Yanni Liu
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Amanda Hampton Wray
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA
| | - Melissa Hall
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Erica R Lescht
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA
| | - William J Gehring
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Kate D Fitzgerald
- Columbia University/New York State Psychiatric Institute, New York, NY, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Department of Communication Disorders, Ewha Womans University, Seoul, South Korea
| |
Collapse
|
5
|
Chen Z, Qin Y, Xie J, Wang L, Cui R, Peng M, Yan Y, Yao D, Liu T. Defocused mode in depressed mood and its changes in time-frequency attention-related beta. J Neurosci Methods 2024; 402:110014. [PMID: 37995853 DOI: 10.1016/j.jneumeth.2023.110014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 10/22/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
Depressed mood has been proposed to possibly possess a unique mode of defocused attention. However, this argument needs to be supported by experimental evidence based on attentional performance. The present study used a perceptual load paradigm, combining factors of perceptual load, distractor-target compatibility, and eccentricity, to investigate the degree of attentional distraction in depressed mood. In addition, the mode of attentional distraction associated with depressed mood was explored with the time-frequency features of electroencephalography (EEG). The behavioral results showed that the high depressed mood (HD) group had significantly higher attentional distraction than the low depressed mood (LD) group. EEG results showed that 1) the beta power (especially beta-2, 18-30 Hz) of the two groups differed in the medio-late part of the attentional distraction, with significantly lower power in the HD group than in the LD group; 2) the results of the correlation between beta-2 power and depression scores revealed a significant negative correlation. These results imply that beta-2 is a potential marker that may be sensitive to depressed mood during attentional processing, which was further supported by the classification results of the support vector machine (SVM) with 80.65% accuracy between the HD and LD groups.
Collapse
Affiliation(s)
- Zhuo Chen
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yun Qin
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Jiaxin Xie
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Lin Wang
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - RuiFang Cui
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Maoqin Peng
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Ye Yan
- The Defense Innovation Institute, Academy of Military Sciences, Beijing 100071, China
| | - Dezhong Yao
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
| | - Tiejun Liu
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
| |
Collapse
|
6
|
Lopez KL, Monachino AD, Vincent KM, Peck FC, Gabard-Durnam LJ. Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities. Neuroimage 2023; 275:120116. [PMID: 37169118 DOI: 10.1016/j.neuroimage.2023.120116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/27/2023] [Accepted: 04/13/2023] [Indexed: 05/13/2023] Open
Abstract
Electroencephalographic (EEG) methods have great potential to serve both basic and clinical science approaches to understand individual differences in human neural function. Importantly, the psychometric properties of EEG data, such as internal consistency and test-retest reliability, constrain their ability to differentiate individuals successfully. Rapid and recent technological and computational advancements in EEG research make it timely to revisit the topic of psychometric reliability in the context of individual difference analyses. Moreover, pediatric and clinical samples provide some of the most salient and urgent opportunities to apply individual difference approaches, but the changes these populations experience over time also provide unique challenges from a psychometric perspective. Here we take a developmental neuroscience perspective to consider progress and new opportunities for parsing the reliability and stability of individual differences in EEG measurements across the lifespan. We first conceptually map the different profiles of measurement reliability expected for different types of individual difference analyses over the lifespan. Next, we summarize and evaluate the state of the field's empirical knowledge and need for testing measurement reliability, both internal consistency and test-retest reliability, across EEG measures of power, event-related potentials, nonlinearity, and functional connectivity across ages. Finally, we highlight how standardized pre-processing software for EEG denoising and empirical metrics of individual data quality may be used to further improve EEG-based individual differences research moving forward. We also include recommendations and resources throughout that individual researchers can implement to improve the utility and reproducibility of individual differences analyses with EEG across the lifespan.
Collapse
Affiliation(s)
- K L Lopez
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - A D Monachino
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - K M Vincent
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - F C Peck
- University of California, Los Angeles, Los Angeles, CA, United States
| | - L J Gabard-Durnam
- Northeastern University, 360 Huntington Ave, Boston, MA, United States.
| |
Collapse
|
7
|
Fox NA, Zeytinoglu S, Valadez EA, Buzzell GA, Morales S, Henderson HA. Annual Research Review: Developmental pathways linking early behavioral inhibition to later anxiety. J Child Psychol Psychiatry 2023; 64:537-561. [PMID: 36123776 PMCID: PMC10690832 DOI: 10.1111/jcpp.13702] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2022] [Indexed: 11/29/2022]
Abstract
Behavioral Inhibition is a temperament identified in the first years of life that enhances the risk for development of anxiety during late childhood and adolescence. Amongst children characterized with this temperament, only around 40 percent go on to develop anxiety disorders, meaning that more than half of these children do not. Over the past 20 years, research has documented within-child and socio-contextual factors that support differing developmental pathways. This review provides a historical perspective on the research documenting the origins of this temperament, its biological correlates, and the factors that enhance or mitigate risk for development of anxiety. We review as well, research findings from two longitudinal cohorts that have identified moderators of behavioral inhibition in understanding pathways to anxiety. Research on these moderators has led us to develop the Detection and Dual Control (DDC) framework to understand differing developmental trajectories among behaviorally inhibited children. In this review, we use this framework to explain why and how specific cognitive and socio-contextual factors influence differential pathways to anxiety versus resilience.
Collapse
Affiliation(s)
- Nathan A. Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, USA
| | - Selin Zeytinoglu
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, USA
| | - Emilio A. Valadez
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, USA
| | - George A. Buzzell
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Santiago Morales
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | | |
Collapse
|
8
|
Morales S, Bowers ME, Leach SC, Buzzell GA, McSweeney M, Yoder L, Fifer W, Elliott AJ, Fox NA. Development of auditory change-detection and attentional capture, and their relation to inhibitory control. Psychophysiology 2023; 60:e14211. [PMID: 36350009 PMCID: PMC10324628 DOI: 10.1111/psyp.14211] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/17/2022] [Accepted: 10/11/2022] [Indexed: 11/11/2022]
Abstract
EEG methods offer a promising approach to study the development of attention or attention-related processes such as change-detection and attentional capture. However, the development of these attention processes from early to middle childhood is not well understood. In the current study, we utilized a passive three-stimulus oddball paradigm to examine age-related changes in auditory change-detection and attentional capture in a large sample of children across childhood (N = 475; 249 female, 226 male; Mage = 6.71; SDage = 2.22; Rangeage = 4.01-11.5 years). Conventional ERP analyses revealed no age-related changes in change detection (mismatch negativity) and attentional capture (P3a) components, but we observed age-related reductions in late automatic processing of auditory change (late discriminative negativity). However, when utilizing time-frequency analyses, we observed developmental increases in frontocentral signal strength (power) and consistency (inter-trial phase synchrony) in delta and theta bands in response to novel sounds. Such frontocentral delta/theta responses have been linked in prior work to cognitive control. To further examine this possibility, we examined relations with inhibitory control. Results revealed that increased consistency in theta in response to novel sounds was related to improved inhibitory control. Together, our results advance our understanding of the development of attention in childhood. Moreover, they demonstrate the contributions of time-frequency approaches to studying neurocognitive development. Finally, our results highlight the utility of neuroimaging paradigms that have low cognitive and motor demands to study the development of psychological processes.
Collapse
Affiliation(s)
- Santiago Morales
- Department of Psychology, University of Southern California
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| | - Maureen E. Bowers
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| | - Stephanie C. Leach
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| | - George A. Buzzell
- Department of Psychology, Florida International University
- Center for Children and Families, Miami, Florida
| | - Marco McSweeney
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| | - Lydia Yoder
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| | | | - Amy J. Elliott
- Avera Research Institute
- Department of Pediatrics, University of South Dakota School of Medicine
| | - Nathan A. Fox
- Department of Human Development and Quantitative Methodology, The University of Maryland – College Park
| |
Collapse
|
9
|
Dell'Acqua C, Hajcak G, Amir N, Santopetro NJ, Brush CJ, Meyer A. Error-related brain activity: A time-domain and time-frequency investigation in pediatric obsessive-compulsive disorder. Psychophysiology 2023; 60:e14216. [PMID: 36332634 DOI: 10.1111/psyp.14216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
Increased error-related negativity (ERN), a measure of error monitoring, has been suggested as a biomarker of obsessive-compulsive disorder (OCD). Additional insight into error monitoring is possible using time-frequency decomposition of electroencephalographic (EEG) data, as it allows disentangling the brain's parallel processing of information. Greater error-related theta is thought to reflect an error detection signal, while delta activity may reflect more elaborative post-detection processes (i.e., strategic adjustments). Recent investigations show that decreased error-related alpha may index attentional engagement following errors; additionally, increases and decreases in error-related beta could reflect motor inhibition and motor preparation, respectively. However, time-frequency dynamics of error monitoring in OCD are largely unknown. The present study examined time-frequency theta, delta, alpha and beta power in early adolescents with OCD using a data-driven, cluster-based approach. The aim was to explore electrocortical measures of error monitoring in early adolescents with (n = 27, 15 females) and without OCD (n = 27, 14 females) during an arrowhead version of the flanker task while EEG activity was recorded. Results indicated that the OCD group was characterized by increased ERN and error-related theta, as well as reduced error-related beta power decrease (i.e., greater power) compared to participants without OCD. Greater error-related beta explained variance in OCD over and above the ERN and error-related theta. By examining separate time-frequency measures, the present study provides novel insights into the dynamics of error monitoring, suggesting that pediatric OCD may be characterized by enhanced error monitoring (i.e., greater theta power) and post-error inhibition (i.e., reduced beta power decrease).
Collapse
Affiliation(s)
- Carola Dell'Acqua
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of General Psychology, University of Padua, Padua, Italy
- Padova Neuroscience Center (PNC), University of Padua, Padua, Italy
| | - Greg Hajcak
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of Biomedical Sciences, Florida State University, Tallahassee, Florida, USA
| | - Nader Amir
- Department of Psychology, San Diego State University, San Diego, California, USA
| | | | - Christopher J Brush
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of Movement Sciences, University of Idaho, Moscow, Idaho, USA
| | - Alexandria Meyer
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| |
Collapse
|
10
|
Dell'Acqua C, Hajcak G, Amir N, Santopetro NJ, Brush CJ, Meyer A. Error-related brain activity in pediatric major depressive disorder: An ERP and time-frequency investigation. Int J Psychophysiol 2023; 184:100-109. [PMID: 36638913 DOI: 10.1016/j.ijpsycho.2023.01.005] [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: 10/28/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND The error-related negativity (ERN) reflects individual differences in error monitoring. However, findings on the ERN in adult and adolescent depression have been inconsistent. Analyzing electroencephalographic (EEG) data in both the time- and time-frequency domain can be useful to better quantify neural response to errors. The present study aimed at examining electrocortical measures of error monitoring in early adolescents with and without depression. METHOD EEG activity was collected during an arrowhead version of the flanker task in 29 (25 females) early adolescents with depression and 34 without MDD (29 females). RESULTS The depression group showed reduced ERN amplitude, reduced error-related theta power and increased error-related beta power compared to the control group. When all variables that related to MDD diagnosis were considered simultaneously, both theta and beta power, but not the ERN, were independently related to an increased likelihood of being diagnosed with depression. CONCLUSIONS By examining both time-domain and separate time-frequency measures, the present study provided novel evidence on error monitoring alterations in youth depression, suggesting that depression during adolescence may be characterized by reduced error monitoring (i.e., reduced ERN and error-related theta) and post-error inhibition (i.e., greater error-related beta power). These results support that time-frequency measures might be better suited for examining error-related neural activity in MDD relative to time-domain measures.
Collapse
Affiliation(s)
- C Dell'Acqua
- Department of Psychology, Florida State University, Tallahassee, USA; Department of General Psychology, University of Padua, Padua, Italy; Padova Neuroscience Center (PNC), University of Padua, Padua, Italy.
| | - G Hajcak
- Department of Psychology, Florida State University, Tallahassee, USA; Department of Biomedical Sciences, Florida State University, Tallahassee, USA
| | - N Amir
- Department of Psychology, San Diego State University, San Diego, USA
| | - N J Santopetro
- Department of Psychology, Florida State University, Tallahassee, USA
| | - C J Brush
- Department of Psychology, Florida State University, Tallahassee, USA; Department of Movement Sciences, University of Idaho, Moscow, ID, USA
| | - A Meyer
- Department of Psychology, Florida State University, Tallahassee, USA
| |
Collapse
|
11
|
Kujawa A, Brooker RJ. Methods and metrics for EEG/ERP assessment of emotion and cognition in young children. Dev Psychobiol 2022; 64:e22284. [DOI: 10.1002/dev.22284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 04/27/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Autumn Kujawa
- Department of Psychological Sciences Vanderbilt University Nashville Tennessee USA
| | - Rebecca J. Brooker
- Department of Psychological and Brain Sciences Texas A&M University College Station Texas USA
| |
Collapse
|