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Wooten T, Esterman M, Brunyé TT, Taylor HA, Ward N. The relationship between sustained attention and parasympathetic functioning. Int J Psychophysiol 2024; 197:112298. [PMID: 38199297 DOI: 10.1016/j.ijpsycho.2024.112298] [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: 11/17/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
Sustained attention (SA) is an important cognitive ability that plays a crucial role in successful cognitive control. Resting vagally-mediated heart rate variability (vmHRV) has emerged as an informative index of parasympathetic nervous system activity and a sensitive correlate of individual differences in cognitive control. However, it is unclear how resting vmHRV is associated with individual differences in sustained attention. The primary aim of the current study was to assess if resting vmHRV was associated with individual differences in performance on a neuropsychological assessment of sustained attention. We further aimed to characterize the relationship between resting vmHRV and dispositional factors related to sustained attention, specifically attentional errors in daily life, self-regulation, mindfulness and media-multitasking. Based on previous work, we hypothesized higher resting vmHRV would be associated with better sustained attention across task-based and self-report measures. We did not find resting vmHRV to be significantly associated with performance measures on a task-based assessment of sustained attention. Further, resting vmHRV was not significantly associated with attention errors, self-regulation, mindfulness, or media-multitasking. This work stands to expand the current understanding between parasympathetic functioning, cognition, and behavior, investigating the unexplored domain of sustained attention and related dispositional factors.
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Affiliation(s)
- Thomas Wooten
- Department of Psychology, Tufts University, Medford, MA, USA.
| | - Michael Esterman
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA; Boston Attention and Learning Laboratory, VA Healthcare System, Boston, MA, USA
| | - Tad T Brunyé
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, USA; U.S. Army DEVCOM, Natick, MA, USA
| | - Holly A Taylor
- Department of Psychology, Tufts University, Medford, MA, USA; Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, USA
| | - Nathan Ward
- Department of Psychology, Tufts University, Medford, MA, USA
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2
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Bella-Fernández M, Martin-Moratinos M, Li C, Wang P, Blasco-Fontecilla H. Differences in Ex-Gaussian Parameters from Response Time Distributions Between Individuals with and Without Attention Deficit/Hyperactivity Disorder: A Meta-analysis. Neuropsychol Rev 2024; 34:320-337. [PMID: 36877328 PMCID: PMC10920450 DOI: 10.1007/s11065-023-09587-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 02/07/2023] [Indexed: 03/07/2023]
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent neurodevelopmental disorders in childhood and adolescence. Differences in reaction times (RT) in cognitive tasks have been consistently observed between ADHD and typical participants. Instead of estimating means and standard deviations, fitting non-symmetrical distributions like the ex-Gaussian, characterized by three parameters (µ, σ, and τ), account for the whole RT distributions. A meta-analysis is performed with all the available literature using ex-Gaussian distributions for comparisons between individuals with ADHD and controls. Results show that τ and σ are generally greater for ADHD samples, while µ tends to be larger for typical groups but only for younger ages. Differences in τ are also moderated by ADHD subtypes. τ and σ show, respectively, quadratic and linear relationships with inter-stimulus intervals from Continuous Performance Test and Go/No Go tasks. Furthermore, tasks and cognitive domains influence the three parameters. Interpretations of ex-Gaussian parameters and clinical implications of these findings are also discussed. Fitting ex-Gaussian distributions to RT data is a useful way to explore differences between individuals with ADHD and healthy controls.
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Affiliation(s)
- Marcos Bella-Fernández
- Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
- Universidad Pontificia de Comillas, Madrid, Spain
| | - Marina Martin-Moratinos
- Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
| | - Chao Li
- Universidad Autónoma de Madrid, Madrid, Spain
| | - Ping Wang
- Universidad Autónoma de Madrid, Madrid, Spain
| | - Hilario Blasco-Fontecilla
- Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
- Universidad Autónoma de Madrid, Madrid, Spain.
- CIBERSAM Madrid, Madrid, Spain.
- ITA Mental Health, Madrid, Spain.
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3
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Seeburger DT, Xu N, Ma M, Larson S, Godwin C, Keilholz SD, Schumacher EH. Time-varying functional connectivity predicts fluctuations in sustained attention in a serial tapping task. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:111-125. [PMID: 38253775 PMCID: PMC10979291 DOI: 10.3758/s13415-024-01156-1] [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] [Accepted: 01/08/2024] [Indexed: 01/24/2024]
Abstract
The mechanisms for how large-scale brain networks contribute to sustained attention are unknown. Attention fluctuates from moment to moment, and this continuous change is consistent with dynamic changes in functional connectivity between brain networks involved in the internal and external allocation of attention. In this study, we investigated how brain network activity varied across different levels of attentional focus (i.e., "zones"). Participants performed a finger-tapping task, and guided by previous research, in-the-zone performance or state was identified by low reaction time variability and out-of-the-zone as the inverse. In-the-zone sessions tended to occur earlier in the session than out-of-the-zone blocks. This is unsurprising given the way attention fluctuates over time. Employing a novel method of time-varying functional connectivity, called the quasi-periodic pattern analysis (i.e., reliable, network-level low-frequency fluctuations), we found that the activity between the default mode network (DMN) and task positive network (TPN) is significantly more anti-correlated during in-the-zone states versus out-of-the-zone states. Furthermore, it is the frontoparietal control network (FPCN) switch that differentiates the two zone states. Activity in the dorsal attention network (DAN) and DMN were desynchronized across both zone states. During out-of-the-zone periods, FPCN synchronized with DMN, while during in-the-zone periods, FPCN switched to synchronized with DAN. In contrast, the ventral attention network (VAN) synchronized more closely with DMN during in-the-zone periods compared with out-of-the-zone periods. These findings demonstrate that time-varying functional connectivity of low frequency fluctuations across different brain networks varies with fluctuations in sustained attention or other processes that change over time.
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Affiliation(s)
- Dolly T Seeburger
- School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.
| | - Nan Xu
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Marcus Ma
- College of Computing, Georgia Institute of Technology, Atlanta, GA, USA
| | - Sam Larson
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Christine Godwin
- School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA
| | - Shella D Keilholz
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Eric H Schumacher
- School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.
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Welhaf MS, Kane MJ. A Nomothetic Span Approach to the Construct Validation of Sustained Attention Consistency: Re-Analyzing Two Latent-Variable Studies of Performance Variability and Mind-Wandering Self-Reports. PSYCHOLOGICAL RESEARCH 2024; 88:39-80. [PMID: 37314574 PMCID: PMC10805875 DOI: 10.1007/s00426-023-01820-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/21/2023] [Indexed: 06/15/2023]
Abstract
The ability to sustain attention consistency is frequently assessed using either objective behavioral measures, such as reaction time (RT) variability, or subjective self-report measures, such as rates of task-unrelated thought (TUT). The current studies examined whether the individual-difference covariation in these measures provides a more construct valid assessment of attention consistency than does either alone. We argue that performance and self-report measures mutually validate each other; each measurement approach has its own sources of error, so their shared variance should best reflect the attention consistency construct. We reanalyzed two latent-variable studies where RT variability and TUTs were measured in multiple tasks (Kane et al. in J Exp Psychol Gen 145:1017-1048, 2016; Unsworth et al. in J Exp Psychol Gen 150:1303-1331, 2021), along with several nomological network constructs to test the convergent and discriminant validity of a general attention consistency factor. Confirmatory factor analyses assessing bifactor (preregistered) and hierarchical (non-preregistered) models suggested that attention consistency can be modeled as the shared variance among objective and subjective measures. This attention consistency factor was related to working memory capacity, attention (interference) control, processing speed, state motivation and alertness, and self-reported cognitive failures and positive schizotypy. Although bifactor models of general attention consistency provide the most compelling construct validity evidence for a specific ability to sustain attention, multiverse analyses of outlier decisions suggested they are less robust than hierarchical models. The results provide evidence for the general ability to sustain attention consistency and suggestions for improving its measurement.
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Affiliation(s)
- Matthew S Welhaf
- Department of Psychological and Brain Sciences, Washington University in St. Louis, CB 1125 One Brookings Drive, St. Louis, MO, 63130-4899, USA.
| | - Michael J Kane
- Department of Psychology, University of North Carolina at Greensboro, P.O. Box 26170, Greensboro, NC, 27402-6170, USA
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Jayakumar M, Balusu C, Aly M. Attentional fluctuations and the temporal organization of memory. Cognition 2023; 235:105408. [PMID: 36893523 DOI: 10.1016/j.cognition.2023.105408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 02/09/2023] [Accepted: 02/11/2023] [Indexed: 03/10/2023]
Abstract
Event boundaries and temporal context shape the organization of episodic memories. We hypothesized that attentional fluctuations during encoding serve as "events" that affect temporal context representations and recall organization. Individuals encoded trial-unique objects during a modified sustained attention task. Memory was tested with free recall. Response time variability during the encoding tasks was used to characterize "in the zone" and "out of the zone" attentional states. We predicted that: 1) "in the zone", vs. "out of the zone", attentional states should be more conducive to maintaining temporal context representations that can cue temporally organized recall; and 2) temporally distant "in the zone" states may enable more recall "leaps" across intervening items. We replicated several important findings in the sustained attention and memory fields, including more online errors during "out of the zone" vs. "in the zone" attentional states and recall that was temporally structured. Yet, across four studies, we found no evidence for either of our main hypotheses. Recall was robustly temporally organized, and there was no difference in recall organization for items encoded "in the zone" vs. "out of the zone". We conclude that temporal context serves as a strong scaffold for episodic memory, one that can support organized recall even for items encoded during relatively poor attentional states. We also highlight the numerous challenges in striking a balance between sustained attention tasks (long blocks of a repetitive task) and memory recall tasks (short lists of unique items) and describe strategies for researchers interested in uniting these two fields.
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Affiliation(s)
- Manasi Jayakumar
- Department of Psychology, Columbia University, New York, NY 10027, United States of America.
| | - Chinmayi Balusu
- Department of Psychology, Columbia University, New York, NY 10027, United States of America
| | - Mariam Aly
- Department of Psychology, Columbia University, New York, NY 10027, United States of America
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Li Y, Chen X, Zhang Q, Xu W, Li J, Ji F, Dong Q, Chen C, Li J. Effects of working memory span training on top-down attentional asymmetry at both neural and behavioral levels. Cereb Cortex 2023; 33:5937-5946. [PMID: 36617305 DOI: 10.1093/cercor/bhac472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 01/09/2023] Open
Abstract
The leftward asymmetry of the visual field and posterior brain regions, a feature of the normal attention process, can be strengthened by brain stimulation, e.g. administering alpha frequency stimulation to the left posterior cortex. However, whether it can be strengthened by cognitive training, especially with nonlateralized tasks, is unknown. We used a dataset from a 2-month-long randomized controlled trial and compared the control group with 2 training groups trained with backward or forward memory span tasks. A lateralized change detection task with varied memory loads was administered as the pre-, mid-, and post-tests with simultaneous electroencephalographic recording. Intrasubject response variability (IRV) and the alpha modulation index (MI) were calculated. Analysis of IRV showed more enhanced leftward attentional bias in the backward group than in the other groups. Consistently, analysis of MI found that its enhancements in the left hemisphere (but not the right hemisphere) of the backward group were significantly higher than those of the other groups. Further analysis revealed that left MI changes predicted left IRV improvement. All of these results indicated that backward memory span training enhanced leftward attentional asymmetry at both the behavioral and neural levels.
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Affiliation(s)
- Yang Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, No.19, Xinjiekouwai Street, Haidian District, Beijing 100875, P.R. China
| | - Xiongying Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, No.5, Ankang Hutong, Xicheng District, Beijing 100088, P.R. China
| | - Qiumei Zhang
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining, Shandong 272013, P.R. China
| | - Wending Xu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, No.19, Xinjiekouwai Street, Haidian District, Beijing 100875, P.R. China
| | - Jin Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing 100190, P.R. China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing 100190, P.R. China
| | - Feng Ji
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining, Shandong 272013, P.R. China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, No.19, Xinjiekouwai Street, Haidian District, Beijing 100875, P.R. China
| | - Chuansheng Chen
- Department of Psychological Science, University of California, Irvine, 4201 Social & Behavioral Sciences Gateway,CA 92697, United States
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, No.19, Xinjiekouwai Street, Haidian District, Beijing 100875, P.R. China
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Evans TC, Alonso MR, Jagger-Rickels A, Rothlein D, Zuberer A, Bernstein J, Fortier CB, Fonda JR, Villalon A, Jorge R, Milberg W, McGlinchey R, DeGutis J, Esterman M. PTSD symptomatology is selectively associated with impaired sustained attention ability and dorsal attention network synchronization. Neuroimage Clin 2022; 36:103146. [PMID: 36055063 PMCID: PMC9437905 DOI: 10.1016/j.nicl.2022.103146] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 07/03/2022] [Accepted: 08/03/2022] [Indexed: 12/14/2022]
Abstract
Posttraumatic Stress Disorder (PTSD) symptomatology is associated with dysregulated sustained attention, which produces functional impairments. Performance on sustained attention paradigms such as continuous performance tasks are influenced by both the ability to sustain attention and response strategy. However, previous studies have not dissociated PTSD-related associations with sustained attention ability and strategy, which limits characterization of neural circuitry underlying PTSD-related attentional impairments. Therefore, we characterized and replicated PTSD-related associations with sustained attention ability and response strategy in trauma-exposed Veterans, which guided characterization of PTSD-related differences in neural circuit function. In Study 1, PTSD symptoms were selectively associated with reduced sustained attention ability, but not more impulsive response strategies. In Study 2, we utilized task and resting-state fMRI to characterize neural circuitry underlying PTSD-related differences in sustained attention ability. Both PTSD symptomatology and sustained attention ability exhibited converging associations with reduced dorsal attention network (DAN) synchronization to endogeneous attentional fluctuations. Post-hoc time course analyses demonstrated that PTSD symptoms were most accurately characterized by delayed, rather than globally reduced, DAN synchronization to endogenous attentional fluctuations. Together, these findings suggest that PTSD symptomatology may selectively impair sustained attention ability by disrupting proactive engagement of attentional control circuitry.
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Affiliation(s)
- Travis C. Evans
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,Department of Psychiatry, Boston University School of Medicine, USA,Corresponding author at: VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA 02130, USA.
| | | | - Audreyana Jagger-Rickels
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,National Center for PTSD, VA Boston Healthcare System, USA
| | - David Rothlein
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,National Center for PTSD, VA Boston Healthcare System, USA
| | - Agnieszka Zuberer
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,Department of Psychiatry and Psychotherapy, University Hospital Jena, Germany,Department of Psychiatry and Psychotherapy, University of Tübingen, Germany
| | - John Bernstein
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, USA
| | - Catherine B. Fortier
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, USA,Department of Psychiatry, Harvard Medical School, USA,Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, USA
| | - Jennifer R. Fonda
- Department of Psychiatry, Boston University School of Medicine, USA,Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, USA,Department of Psychiatry, Harvard Medical School, USA,Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, USA
| | - Audri Villalon
- Translational Research Center for TBI and Stress Disorders (TRACTS), Michael E. DeBakey VA Medical Center, Houston, TX, USA,Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, USA
| | - Ricardo Jorge
- Translational Research Center for TBI and Stress Disorders (TRACTS), Michael E. DeBakey VA Medical Center, Houston, TX, USA,Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, USA
| | - William Milberg
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, USA,Department of Psychiatry, Harvard Medical School, USA,Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, USA
| | - Regina McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, USA,Department of Psychiatry, Harvard Medical School, USA,Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, USA
| | - Joseph DeGutis
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,Department of Psychiatry, Harvard Medical School, USA,Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, USA
| | - Michael Esterman
- Boston Attention and Learning Lab (BALLAB), VA Boston Healthcare System, USA,Department of Psychiatry, Boston University School of Medicine, USA,National Center for PTSD, VA Boston Healthcare System, USA,Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, USA
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Qiao J, Li X, Wang Y, Wang Y, Li G, Lu P, Wang S. The Infraslow Frequency Oscillatory Transcranial Direct Current Stimulation Over the Left Dorsolateral Prefrontal Cortex Enhances Sustained Attention. Front Aging Neurosci 2022; 14:879006. [PMID: 35431889 PMCID: PMC9009338 DOI: 10.3389/fnagi.2022.879006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 02/28/2022] [Indexed: 12/18/2022] Open
Abstract
Background The vigilance fluctuation and decrement of sustained attention have large detrimental consequences to most tasks in daily life, especially among the elderly. Non-invasive brain stimulations (e.g., transcranial direct current stimulation, tDCS) have been widely applied to improve sustained attention, however, with mixed results. Objective An infraslow frequency oscillatory tDCS approach was designed to improve sustained attention. Methods The infraslow frequency oscillatory tDCS (O-tDCS) over the left dorsolateral prefrontal cortex at 0.05 Hz was designed and compared with conventional tDCS (C-tDCS) to test whether this new protocol improves sustained attention more effectively. The sustained attention was evaluated by reaction time and accuracy. Results Compared with the C-tDCS and sham, the O-tDCS significantly enhanced sustained attention by increasing response accuracy, reducing response time, and its variability. These effects were predicted by the evoked oscillation of response time at the stimulation frequency. Conclusion Similar to previous studies, the modulation effect of C-tDCS on sustained attention is weak and unstable. In contrast, the O-tDCS effectively and systematically enhances sustained attention by optimizing vigilance fluctuation. The modulation effect of O-tDCS is probably driven by neural oscillations at the infraslow frequency range.
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Affiliation(s)
- Jingwen Qiao
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Xinyu Li
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Youhao Wang
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Yifeng Wang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Gen Li
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Ping Lu
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Shouyan Wang
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
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