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Thiffault F, Cinq-Mars J, Brisson B, Blanchette I. Hearing fearful prosody impairs visual working memory maintenance. Int J Psychophysiol 2024; 199:112338. [PMID: 38552908 DOI: 10.1016/j.ijpsycho.2024.112338] [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: 01/27/2024] [Revised: 03/10/2024] [Accepted: 03/25/2024] [Indexed: 04/06/2024]
Abstract
Interference by distractors has been associated multiple times with diminished visual and auditory working memory (WM) performance. Negative emotional distractors in particular lead to detrimental effects on WM. However, these associations have only been seen when distractors and items to maintain in WM are from the same sensory modality. In this study, we investigate cross-modal interference on WM. We invited 20 participants to complete a visual change-detection task, assessing visual WM (VWM), while hearing emotional (fearful) and neutral auditory distractors. Electrophysiological activity was recorded to measure contralateral delay activity (CDA) and auditory P2 event-related potentials (ERP), indexing WM maintenance and distractor salience respectively. At the behavioral level, fearful prosody didn't decrease significantly working memory accuracy, compared to neutral prosody. Regarding ERPs, fearful distractors evoked a greater P2 amplitude than neutral distractors. Correlations between the two ERP potentials indicated that P2 amplitude difference between the two types of prosody was associated with the difference in CDA amplitude for fearful and neutral trials. This association suggests that cognitive resources required to process fearful prosody detrimentally impact VWM maintenance. That result provides a piece of additional evidence that negative emotional stimuli produce greater interference than neutral stimuli and that the cognitive resources used to process stimuli from different modalities come from a common pool.
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Affiliation(s)
- François Thiffault
- CogNAC Research Group (Cognition, Neurosciences, Affect et Comportement), Québec, Canada; Département de Psychologie, Université du Québec à Trois-Rivières, Québec, Canada.
| | - Justine Cinq-Mars
- CogNAC Research Group (Cognition, Neurosciences, Affect et Comportement), Québec, Canada; Département de Psychologie, Université du Québec à Trois-Rivières, Québec, Canada
| | - Benoît Brisson
- CogNAC Research Group (Cognition, Neurosciences, Affect et Comportement), Québec, Canada; Département de Psychologie, Université du Québec à Trois-Rivières, Québec, Canada.
| | - Isabelle Blanchette
- CogNAC Research Group (Cognition, Neurosciences, Affect et Comportement), Québec, Canada; École de Psychologie, Université Laval, Québec, Québec, Canada; CERVO Brain Research Center, Québec, Québec, Canada.
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Makale MT, Nybo C, Keifer J, Blum K, Dennen CA, Baron D, Sunder K, Elman I, Makale MR, Thanos PK, Murphy KT. Preliminary Observations of Personalized Repetitive Magnetic Stimulation (PrTMS) Guided by EEG Spectra for Concussion. Brain Sci 2023; 13:1179. [PMID: 37626535 PMCID: PMC10452199 DOI: 10.3390/brainsci13081179] [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: 06/16/2023] [Revised: 08/02/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
There are no FDA-approved treatments for the chronic sequelae of concussion. Repetitive magnetic transcranial stimulation (rTMS) has been explored as a therapy but outcomes have been inconsistent. To address this we developed a personalized rTMS (PrTMS) protocol involving continual rTMS stimulus frequency adjustment and progressive activation of multiple cortical sites, guided by spectral electroencephalogram (EEG)-based analyses and psychological questionnaires. We acquired pilot clinical data for 185 symptomatic brain concussion patients who underwent the PrTMS protocol over an approximate 6 week period. The PrTMS protocol used a proprietary EEG spectral frequency algorithm to define an initial stimulation frequency based on an anteriorly graded projection of the measured occipital alpha center peak, which was then used to interpolate and adjust regional stimulation frequency according to weekly EEG spectral acquisitions. PrTMS improved concussion indices and normalized the cortical alpha band center frequency and peak EEG amplitude. This potentially reflected changed neurotransmitter, cognitive, and perceptual status. PrTMS may be a promising treatment choice for patients with persistent concussion symptoms. This clinical observational study was limited in that there was no control group and a number of variables were not recorded, such as time since injury and levels of depression. While the present observations are indeed preliminary and cursory, they may suggest further prospective research on PrTMS in concussion, and exploration of the spectral EEG as a concussion biomarker, with the ultimate goals of confirmation and determining optimal PrTMS treatment parameters.
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Affiliation(s)
- Milan T. Makale
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Chad Nybo
- CrossTx Inc., Bozeman, MT 59715, USA
| | | | - Kenneth Blum
- Department of Clinical Psychology and Addiction, Institute of Psychology, Faculty of Education and Psychology, Eötvös Loránd University, 1075 Budapest, Hungary
- Department of Psychiatry, Wright University, Boonshoft School of Medicine, Dayton, OH 45324, USA
- Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel 40700, Israel
- Division of Addiction Research & Education, Center for Sports, Exercise & Global Mental Health, Western University Health Sciences, Pomona, CA 91766, USA
| | - Catherine A. Dennen
- Department of Family Medicine, Jefferson Health NE, Philadelphia, PA 19107, USA
| | - David Baron
- Division of Addiction Research & Education, Center for Sports, Exercise & Global Mental Health, Western University Health Sciences, Pomona, CA 91766, USA
| | - Keerthy Sunder
- School of Medicine, University of California Riverside, Riverside, CA 92521, USA
| | - Igor Elman
- Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02143, USA
| | - Miles R. Makale
- Department of Psychology, University of California San Diego, La Jolla, CA 92093, USA
| | - Panayotis K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biosciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Psychology, State University of New York at Buffalo, Buffalo, NY 14203, USA
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Chen X, Ma R, Zhang W, Zeng GQ, Wu Q, Yimiti A, Xia X, Cui J, Liu Q, Meng X, Bu J, Chen Q, Pan Y, Yu NX, Wang S, Deng ZD, Sack AT, Laughlin MM, Zhang X. Alpha oscillatory activity is causally linked to working memory retention. PLoS Biol 2023; 21:e3001999. [PMID: 36780560 PMCID: PMC9983870 DOI: 10.1371/journal.pbio.3001999] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/03/2023] [Accepted: 01/12/2023] [Indexed: 02/15/2023] Open
Abstract
Although previous studies have reported correlations between alpha oscillations and the "retention" subprocess of working memory (WM), causal evidence has been limited in human neuroscience due to the lack of delicate modulation of human brain oscillations. Conventional transcranial alternating current stimulation (tACS) is not suitable for demonstrating the causal evidence for parietal alpha oscillations in WM retention because of its inability to modulate brain oscillations within a short period (i.e., the retention subprocess). Here, we developed an online phase-corrected tACS system capable of precisely correcting for the phase differences between tACS and concurrent endogenous oscillations. This system permits the modulation of brain oscillations at the target stimulation frequency within a short stimulation period and is here applied to empirically demonstrate that parietal alpha oscillations causally relate to WM retention. Our experimental design included both in-phase and anti-phase alpha-tACS applied to participants during the retention subprocess of a modified Sternberg paradigm. Compared to in-phase alpha-tACS, anti-phase alpha-tACS decreased both WM performance and alpha activity. These findings strongly support a causal link between alpha oscillations and WM retention and illustrate the broad application prospects of phase-corrected tACS.
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Affiliation(s)
- Xueli Chen
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, People’s Republic of China
| | - Ru Ma
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Wei Zhang
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Ginger Qinghong Zeng
- Application Technology Center of Physical Therapy to Brain Disorders, Institute of Advanced Technology, University of Science & Technology of China, Hefei, China
| | - Qianying Wu
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America
| | - Ajiguli Yimiti
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Xinzhao Xia
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science & Technology of China, Hefei, China
| | - Jiangtian Cui
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science & Technology of China, Hefei, China
- School of Optometry and Vision Science, Cardiff University, Cardiff, United Kingdom
| | - Qiongwei Liu
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Xueer Meng
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Junjie Bu
- School of Biomedical Engineering, Anhui Medical University, Hefei, China
| | - Qi Chen
- School of Psychology, South China Normal University, Guangzhou, China
| | - Yu Pan
- Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Nancy Xiaonan Yu
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, People’s Republic of China
| | - Shouyan Wang
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, USA
| | - Alexander T. Sack
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Myles Mc Laughlin
- Exp ORL, Department of Neuroscience, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Xiaochu Zhang
- Department of Radiology, the First Affiliated Hospital of USTC, Hefei National Research Center for Physical Sciences at the Microscale and School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
- Application Technology Center of Physical Therapy to Brain Disorders, Institute of Advanced Technology, University of Science & Technology of China, Hefei, China
- Department of Psychology, School of Humanities & Social Science, University of Science & Technology of China, Hefei, China
- Institute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei, China
- * E-mail:
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Paradeda RB, Santos HVS. Factors that negatively influence students’ transition from the traditional classroom to emergency remote education (ERT). COMPUTERS AND EDUCATION OPEN 2022. [PMCID: PMC9446678 DOI: 10.1016/j.caeo.2022.100098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2022] Open
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Sklar AL, Coffman BA, Longenecker JM, Curtis M, Salisbury DF. Load-dependent functional connectivity deficits during visual working memory in first-episode psychosis. J Psychiatr Res 2022; 153:174-181. [PMID: 35820225 PMCID: PMC9846371 DOI: 10.1016/j.jpsychires.2022.06.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 06/14/2022] [Accepted: 06/24/2022] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Aberrant network connectivity is a core deficit in schizophrenia and may underlie many of its associated cognitive deficits. Previous work in first-episode schizophrenia spectrum illness (FESz) suggests preservation of working memory network function during low-load conditions with dysfunction emerging as task complexity increases. This study assessed visual network connectivity and its contribution to load-dependent working memory impairments. METHODS Magnetoencephalography was recorded from 35 FESz and 28 matched controls (HC) during a lateralized change detection task. Impaired alpha desynchronization was previously identified within bilateral dorsal occipital (Occ) regions. Here, whole-brain alpha-band connectivity was examined using phase-locking (PLV) and bilateral Occ as connectivity seeds. Load effects on connectivity were assessed across participants, and PLV modulation within networks was compared between groups. RESULTS Occ exhibited significant load modulated connectivity with six regions (FDR-corrected). HC exhibited PLV enhancement with load in all connections. FESz failed to show PLV modulation between right Occ and left inferior frontal gyrus, lateral occipito-temporal sulcus, and anterior intermediate parietal sulcus. Smaller PLVs in all three network connections during both memory load conditions were associated with increased reality distortion in FESz (FDR-corrected.) CONCLUSION: Examination of functional connectivity across the visual working memory network in FESz revealed an inability to enhance communication between perceptual and executive networks in response to increasing cognitive demands. Furthermore, the degree of network communication impairment was associated with positive symptoms. These findings provide insights into the nature of brain dysconnectivity and its contribution to symptoms in early psychosis and identify potential targets for future interventions.
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Affiliation(s)
- Alfredo L Sklar
- Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian A Coffman
- Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Julia M Longenecker
- Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; VISN 4 Mental Illness Research Education and Clinical Center (MIRECC), VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Mark Curtis
- Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dean F Salisbury
- Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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Binkowska AA, Jakubowska N, Krystecka K, Galant N, Piotrowska-Cyplik A, Brzezicka A. Theta and Alpha Oscillatory Activity During Working Memory Maintenance in Long-Term Cannabis Users: The Importance of the Polydrug Use Context. Front Hum Neurosci 2021; 15:740277. [PMID: 34733146 PMCID: PMC8558244 DOI: 10.3389/fnhum.2021.740277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Impairments in various subdomains of memory have been associated with chronic cannabis use, but less is known about their neural underpinnings, especially in the domain of the brain's oscillatory activity. Aims: To investigate neural oscillatory activity supporting working memory (WM) in regular cannabis users and non-using controls. We focused our analyses on frontal midline theta and posterior alpha asymmetry as oscillatory fingerprints for the WM's maintenance process. Methods: 30 non-using controls (CG) and 57 regular cannabis users-27 exclusive cannabis users (CU) and 30 polydrug cannabis users (PU) completed a Sternberg modified WM task with a concurrent electroencephalography recording. Theta, alpha and beta frequency bands were examined during WM maintenance. Results: When compared to non-using controls, the PU group displayed increased frontal midline theta (FMT) power during WM maintenance, which was positively correlated with RT. The posterior alpha asymmetry during the maintenance phase, on the other hand, was negatively correlated with RT in the CU group. WM performance did not differ between groups. Conclusions: Both groups of cannabis users (CU and PU), when compared to the control group, displayed differences in oscillatory activity during WM maintenance, unique for each group (in CU posterior alpha and in PU FMT correlated with performance). We interpret those differences as a reflection of compensatory strategies, as there were no differences between groups in task performance. Understanding the psychophysiological processes in regular cannabis users may provide insight on how chronic use may affect neural networks underlying cognitive processes, however, a polydrug use context (i.e., combining cannabis with other illegal substances) seems to be an important factor.
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Affiliation(s)
| | - Natalia Jakubowska
- SWPS University of Social Sciences and Humanities, Warsaw, Poland.,Polish-Japanese Academy of Information Technology, Warsaw, Poland
| | | | | | | | - Aneta Brzezicka
- SWPS University of Social Sciences and Humanities, Warsaw, Poland
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