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Wang Y, Becker B, Wang J, Wang Y, Zhang L, Mei Y, Li H, Lei Y. Exaggerated sensitivity to threat and reduced medial prefrontal engagement during threat generalization in reactive aggressive adolescents. Neuroimage 2024; 294:120645. [PMID: 38734156 DOI: 10.1016/j.neuroimage.2024.120645] [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: 04/09/2024] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/13/2024] Open
Abstract
Aggressive adolescents tend to exhibit abnormal fear acquisition and extinction, and reactive aggressive adolescents are often more anxious. However, the relationship between fear generalization and reactive aggression (RA) remains unknown. According to Reactive-Proactive Aggression Questionnaire (RPQ) scores, 61 adolescents were divided into two groups, namely, a high RA group (N = 30) and a low aggression (LA) group (N = 31). All participants underwent three consecutive phases of the Pavlovian conditioning paradigm (i.e., habituation, acquisition, and generalization), and neural activation of the medial prefrontal cortex (mPFC) was assessed by functional near-infrared spectroscopy (fNIRS). The stimuli were ten circles with varying sizes, including two conditioned stimuli (CSs) and eight generalization stimuli (GSs). A scream at 85 dB served as the auditory unconditioned stimulus (US). The US expectancy ratings of both CSs and GSs were higher in the RA group than in the LA group. The fNIRS results showed that CSs and GSs evoked lower mPFC activation in the RA group compared to the LA group during fear generalization. These findings suggest that abnormalities in fear acquisition and generalization are prototypical dysregulations in adolescents with RA. They provide neurocognitive evidence for dysregulated fear learning in the mechanisms underlying adolescents with RA, highlighting the need to develop emotional regulation interventions for these individuals.
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Affiliation(s)
- Yizhen Wang
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China
| | - Benjamin Becker
- State Key Laboratory of Brain and Cognitive Sciences, Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Jinxia Wang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China; Faculty of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Yuanyuan Wang
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China
| | - Liangyou Zhang
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands
| | - Ying Mei
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China; Faculty of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Hong Li
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China
| | - Yi Lei
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China.
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Yang X, Zeng Y, Jiao G, Gan X, Linden D, Hernaus D, Zhu C, Li K, Yao D, Yao S, Jiang Y, Becker B. A brief real-time fNIRS-informed neurofeedback training of the prefrontal cortex changes brain activity and connectivity during subsequent working memory challenge. Prog Neuropsychopharmacol Biol Psychiatry 2024; 132:110968. [PMID: 38354898 DOI: 10.1016/j.pnpbp.2024.110968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 11/06/2023] [Accepted: 02/11/2024] [Indexed: 02/16/2024]
Abstract
Working memory (WM) represents a building-block of higher cognitive functions and a wide range of mental disorders are associated with WM impairments. Initial studies have shown that several sessions of functional near-infrared spectroscopy (fNIRS) informed real-time neurofeedback (NF) allow healthy individuals to volitionally increase activity in the dorsolateral prefrontal cortex (DLPFC), a region critically involved in WM. For the translation to therapeutic or neuroenhancement applications, however, it is critical to assess whether fNIRS-NF success transfers into neural and behavioral WM enhancement in the absence of feedback. We therefore combined single-session fNIRS-NF of the left DLPFC with a randomized sham-controlled design (N = 62 participants) and a subsequent WM challenge with concomitant functional MRI. Over four runs of fNIRS-NF, the left DLPFC NF training group demonstrated enhanced neural activity in this region, reflecting successful acquisition of neural self-regulation. During the subsequent WM challenge, we observed no evidence for performance differences between the training and the sham group. Importantly, however, examination of the fMRI data revealed that - compared to the sham group - the training group exhibited significantly increased regional activity in the bilateral DLPFC and decreased left DLPFC - left anterior insula functional connectivity during the WM challenge. Exploratory analyses revealed a negative association between DLPFC activity and WM reaction times in the NF group. Together, these findings indicate that healthy individuals can learn to volitionally increase left DLPFC activity in a single training session and that the training success translates into WM-related neural activation and connectivity changes in the absence of feedback. This renders fNIRS-NF as a promising and scalable WM intervention approach that could be applied to various mental disorders.
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Affiliation(s)
- Xi Yang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Yixu Zeng
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Guojuan Jiao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xianyang Gan
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital; University of Electronic Science and Technology of China, Chengdu, China; MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - David Linden
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Dennis Hernaus
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Keshuang Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Dezhong Yao
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuxia Yao
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yihan Jiang
- Center for the Cognitive Science of Language, Beijing Language and Culture University, Beijing, China.
| | - Benjamin Becker
- The University of Hong Kong, State Key Laboratory of Brain and Cognitive Sciences, Hong Kong, China; The University of Hong Kong, Department of Psychology, Hong Kong, China.
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Gruhn M, Miller AB, Eisenlohr-Moul TA, Martin S, Clayton MG, Giletta M, Hastings PD, Nock MK, Rudolph KD, Slavich GM, Prinstein MJ, Sheridan MA. Threat exposure moderates associations between neural and physiological indices of emotion reactivity in adolescent females. Psychoneuroendocrinology 2024; 159:106405. [PMID: 37812939 PMCID: PMC11034839 DOI: 10.1016/j.psyneuen.2023.106405] [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: 04/24/2023] [Revised: 08/06/2023] [Accepted: 09/21/2023] [Indexed: 10/11/2023]
Abstract
Early life adversity (ELA) characterized by threat (e.g., abuse, witnessing violence) impacts neural and physiologic systems involved in emotion reactivity; however, research on how threat exposure impacts the interplay between these systems is limited. This study investigates ELA characterized by threat as a potential moderator of the association between (a) neural activity during a negative image processing fMRI task and (b) cortisol production following a modified Trier Social Stress Test (TSST). The sample is comprised of 117 young adolescent females (Mage = 11.90 years, SD = 1.69) at elevated risk for internalizing problems. Whole-brain analyses revealed a positive association between cortisol production and increased right lateral orbitofrontal cortex activity during the emotion reactivity task. In moderation models, threat exposure interacted with bilateral amygdala activation (b = -3.34, p = 0.021) and bilateral hippocampal activation (b = -4.14, p = 0.047) to predict cortisol response to the TSST. Specifically, participants with low, but not high, levels of threat exposure demonstrated a positive association between cortisol production and neural activity in these regions, while no significant association emerged for participants with high threat exposure. Findings contribute to the growing field of research connecting physiological and neural emotion processing and response systems, suggesting that dimensions of ELA may uniquely disrupt associations between neural activation and cortisol production.
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Affiliation(s)
| | - Adam Bryant Miller
- University of North Carolina at Chapel Hill, USA; RTI International, USA
| | | | | | | | - Matteo Giletta
- Department of Developmental, Personality and Social Psychology, Ghent University, USA
| | | | | | - Karen D Rudolph
- Department of Psychology, University of Illinois at Urbana-Champaign, USA
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA
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Rösch SA, Schmidt R, Wimmer J, Lührs M, Ehlis AC, Hilbert A. Mechanisms underlying fNIRS-neurofeedback over the prefrontal cortex for participants with binge-eating disorder. Clin Neurophysiol 2023; 156:57-68. [PMID: 37871494 DOI: 10.1016/j.clinph.2023.09.011] [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: 04/28/2023] [Revised: 07/24/2023] [Accepted: 09/22/2023] [Indexed: 10/25/2023]
Abstract
OBJECTIVE Despite the increasing popularity of neurofeedback (NF), aiming at voluntary modulation of dysfunctional prefrontal cortex (PFC) signals in the treatment of binge-eating disorder (BED) and/or overweight, mechanisms remain poorly understood. METHODS Based on a randomized-controlled trial offering 12 food-specific real-time functional near-infrared spectroscopy (rtfNIRS)-NF sessions to participants with BED (n = 22), this preregistered study examined (1) online regulation success as predictor for offline regulation success, defined by PFC signals during regulation versus watch, and subjective regulation success, and (2) changes in loss of control (LOC) eating after vs. before and across 12 rtfNIRS-NF-sessions. RESULTS Higher online regulation success expectedly predicted better subjective, but worse offline regulation success. LOC eating decreased after vs. before, but not over rtfNIRS-NF-sessions, and was not associated with subjective or offline regulation success. CONCLUSIONS The association between online and subjective regulation success confirmed the presumed mechanism of operant conditioning underlying rtfNIRS-NF-learning. The contrary association between online and offline regulation indicated differential PFC involvement upon subtraction of automatic food-specific responses from regulation signals for offline success. Decreased LOC eating after food-specific rtfNIRS-NF-sessions suggested the potential of NF in BED treatment. SIGNIFICANCE Results may guide the optimization of future NF studies in larger samples with BED.
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Affiliation(s)
- Sarah A Rösch
- Integrated Research and Treatment Center AdiposityDiseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Stephanstrasse 9a, 04103 Leipzig, Germany; International Max Planck Research School NeuroCom, Leipzig, Germany.
| | - Ricarda Schmidt
- Integrated Research and Treatment Center AdiposityDiseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Stephanstrasse 9a, 04103 Leipzig, Germany
| | - Jytte Wimmer
- Integrated Research and Treatment Center AdiposityDiseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Stephanstrasse 9a, 04103 Leipzig, Germany
| | - Michael Lührs
- Brain Innovation B.V, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands; Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands
| | - Ann-Christine Ehlis
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Calwerstrasse 14, 72076 Tübingen, Germany
| | - Anja Hilbert
- Integrated Research and Treatment Center AdiposityDiseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Stephanstrasse 9a, 04103 Leipzig, Germany
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Katsumata R, Hosokawa T, Manabe N, Mori H, Wani K, Ishii K, Tanikawa T, Urata N, Ayaki M, Nishino K, Murao T, Suehiro M, Fujita M, Kawanaka M, Haruma K, Kawamoto H, Takao T, Kamada T. Brain activity in response to food images in patients with irritable bowel syndrome and functional dyspepsia. J Gastroenterol 2023; 58:1178-1187. [PMID: 37572136 PMCID: PMC10657794 DOI: 10.1007/s00535-023-02031-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/29/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are caused and exacerbated by consumption of fatty foods. However, no study has evaluated brain activity in response to food images in patients with disorders of gut-brain interaction (DGBI). This study aimed to compare food preference and brain activity when viewing food images between patients with DGBI and healthy controls. METHODS FD and IBS were diagnosed using the ROME IV criteria. Food preference was assessed using a visual analog scale (VAS). Brain activity in the prefrontal cortex (PFC) in response to food images was investigated using functional near-infrared spectroscopy (fNIRS). RESULTS Forty-one patients were enrolled, including 25 with DGBI. The mean VAS scores for all foods (controls vs. FD vs. IBS: 69.1 ± 3.3 vs. 54.8 ± 3.8 vs. 62.8 ± 3.7, p = 0.02), including fatty foods (78.1 ± 5.4 vs. 43.4 ± 6.3 vs. 64.7 ± 6.1, p < 0.01), were the lowest in patients with FD among all groups. Patients with FD had significantly higher brain activity in the left PFC than those with IBS and healthy controls (mean z-scores in controls vs. FD vs. IBS: - 0.077 ± 0.03 vs. 0.125 ± 0.04 vs. - 0.002 ± 0.03, p < 0.001). CONCLUSIONS Patients with DGBI, particularly those with FD, disliked fatty foods. The brain activity in patients with DGBI differed from that in healthy controls. Increased activity in the PFC of patients with FD was confirmed.
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Affiliation(s)
- Ryo Katsumata
- Department of Health Care Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan.
| | - Takayuki Hosokawa
- Department of Orthoptics, Faculty of Rehabilitation, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki, Okayama, 701-0193, Japan
| | - Noriaki Manabe
- Department of Clinical Pathology and Laboratory Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Hitoshi Mori
- Department of Neurology, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Kenta Wani
- Department of Psychiatry, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Katsunori Ishii
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Tomohiro Tanikawa
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Noriyo Urata
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Maki Ayaki
- Department of Clinical Pathology and Laboratory Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Ken Nishino
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Takahisa Murao
- Department of Health Care Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Mitsuhiko Suehiro
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Minoru Fujita
- Department of Clinical Pathology and Laboratory Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Miwa Kawanaka
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Ken Haruma
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Hirofumi Kawamoto
- Department of General Internal Medicine 2, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
| | - Toshihiro Takao
- Department of Health Care Medicine, Kawasaki Medical School, 577, Matsushima, Kurashiki, 701-0192, Japan
| | - Tomoari Kamada
- Department of Health Care Medicine, Kawasaki Medical School General Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, 700-8505, Japan
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Zeng L, Wang C, Sun K, Pu Y, Gao Y, Wang H, Liu X, Wen Z. Upregulation of a Small-World Brain Network Improves Inhibitory Control: An fNIRS Neurofeedback Training Study. Brain Sci 2023; 13:1516. [PMID: 38002477 PMCID: PMC10670110 DOI: 10.3390/brainsci13111516] [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: 09/20/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023] Open
Abstract
The aim of this study was to investigate the inner link between the small-world brain network and inhibitory control. Functional near-infrared spectroscopy (fNIRS) was used to construct a neurofeedback (NF) training system and regulate the frontal small-world brain network. The small-world network downregulation group (DOWN, n = 17) and the small-world network upregulation group (UP, n = 17) received five days of fNIRS-NF training and performed the color-word Stroop task before and after training. The behavioral and functional brain network topology results of both groups were analyzed by a repeated-measures analysis of variance (ANOVA), which showed that the upregulation training helped to improve inhibitory control. The upregulated small-world brain network exhibits an increase in the brain network regularization, links widely dispersed brain resources, and reduces the lateralization of brain functional networks between hemispheres. This suggests an inherent correlation between small-world functional brain networks and inhibitory control; moreover, dynamic optimization under cost efficiency trade-offs provides a neural basis for inhibitory control. Inhibitory control is not a simple function of a single brain region or connectivity but rather an emergent property of a broader network.
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Affiliation(s)
- Lingwei Zeng
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Chunchen Wang
- Department of Aerospace Medicine, Fourth Military Medical University, Xi’an 710032, China;
| | - Kewei Sun
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Yue Pu
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Yuntao Gao
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Hui Wang
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Xufeng Liu
- Department of Medical Psychology, Fourth Military Medical University, Xi’an 710032, China; (L.Z.); (K.S.); (Y.P.); (Y.G.); (H.W.)
| | - Zhihong Wen
- Department of Aerospace Medicine, Fourth Military Medical University, Xi’an 710032, China;
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Zhuang Q, Qiao L, Xu L, Yao S, Chen S, Zheng X, Li J, Fu M, Li K, Vatansever D, Ferraro S, Kendrick KM, Becker B. The right inferior frontal gyrus as pivotal node and effective regulator of the basal ganglia-thalamocortical response inhibition circuit. PSYCHORADIOLOGY 2023; 3:kkad016. [PMID: 38666118 PMCID: PMC10917375 DOI: 10.1093/psyrad/kkad016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/13/2023] [Accepted: 09/12/2023] [Indexed: 04/28/2024]
Abstract
Background The involvement of specific basal ganglia-thalamocortical circuits in response inhibition has been extensively mapped in animal models. However, the pivotal nodes and directed causal regulation within this inhibitory circuit in humans remains controversial. Objective The main aim of the present study was to determine the causal information flow and critical nodes in the basal ganglia-thalamocortical inhibitory circuits and also to examine whether these are modulated by biological factors (i.e. sex) and behavioral performance. Methods Here, we capitalize on the recent progress in robust and biologically plausible directed causal modeling (DCM-PEB) and a large response inhibition dataset (n = 250) acquired with concomitant functional magnetic resonance imaging to determine key nodes, their causal regulation and modulation via biological variables (sex) and inhibitory performance in the inhibitory circuit encompassing the right inferior frontal gyrus (rIFG), caudate nucleus (rCau), globus pallidum (rGP), and thalamus (rThal). Results The entire neural circuit exhibited high intrinsic connectivity and response inhibition critically increased causal projections from the rIFG to both rCau and rThal. Direct comparison further demonstrated that response inhibition induced an increasing rIFG inflow and increased the causal regulation of this region over the rCau and rThal. In addition, sex and performance influenced the functional architecture of the regulatory circuits such that women displayed increased rThal self-inhibition and decreased rThal to GP modulation, while better inhibitory performance was associated with stronger rThal to rIFG communication. Furthermore, control analyses did not reveal a similar key communication in a left lateralized model. Conclusions Together, these findings indicate a pivotal role of the rIFG as input and causal regulator of subcortical response inhibition nodes.
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Affiliation(s)
- Qian Zhuang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Lei Qiao
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Lei Xu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610068, China
| | - Shuxia Yao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
| | - Shuaiyu Chen
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Xiaoxiao Zheng
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
- Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jialin Li
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
| | - Meina Fu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
| | - Keshuang Li
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
- School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Deniz Vatansever
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Stefania Ferraro
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
| | - Keith M Kendrick
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, The University of Electronic Science and Technology of China, Chengdu, Sichuan Province 611731, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China
| | - Benjamin Becker
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong 999077, China
- Department of Psychology, The University of Hong Kong, Hong Kong 999077, China
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8
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Godet A, Serrand Y, Fortier A, Léger B, Bannier E, Val-Laillet D, Coquery N. Subjective feeling of control during fNIRS-based neurofeedback targeting the DL-PFC is related to neural activation determined with short-channel correction. PLoS One 2023; 18:e0290005. [PMID: 37585456 PMCID: PMC10431651 DOI: 10.1371/journal.pone.0290005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 07/31/2023] [Indexed: 08/18/2023] Open
Abstract
Neurofeedback (NF) training is a promising preventive and therapeutic approach for brain and behavioral impairments, the dorsolateral prefrontal cortex (DL-PFC) being a relevant region of interest. Functional near-infrared spectroscopy (NIRS) has recently been applied in NF training. However, this approach is highly sensitive to extra-cerebral vascularization, which could bias measurements of cortical activity. Here, we examined the feasibility of a NF training targeting the DL-PFC and its specificity by assessing the impact of physiological confounds on NF success via short-channel offline correction under different signal filtering conditions. We also explored whether the individual mental strategies affect the NF success. Thirty volunteers participated in a single 15-trial NF session in which they had to increase the oxy-hemoglobin (HbO2) level of their bilateral DL-PFC. We found that 0.01-0.09 Hz band-pass filtering was more suited than the 0.01-0.2 Hz band-pass filter to highlight brain activation restricted to the NF channels in the DL-PFC. Retaining the 10 out of 15 best trials, we found that 18 participants (60%) managed to control their DL-PFC. This number dropped to 13 (43%) with short-channel correction. Half of the participants reported a positive subjective feeling of control, and the "cheering" strategy appeared to be more effective in men (p<0.05). Our results showed successful DL-PFC fNIRS-NF in a single session and highlighted the value of accounting for extra cortical signals, which can profoundly affect the success and specificity of NF training.
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Affiliation(s)
- Ambre Godet
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
| | - Yann Serrand
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
| | - Alexandra Fortier
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
| | - Brieuc Léger
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
| | - Elise Bannier
- Inria, CRNS, Inserm, IRISA UMR 6074, Empenn U1228, Univ Rennes, Rennes, France
- CHU Rennes, Radiology Department, Rennes, France
| | - David Val-Laillet
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
| | - Nicolas Coquery
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer, NuMeCan, Rennes, France
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9
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Hou X, Xiao X, Gong Y, Li Z, Chen A, Zhu C. Functional Near-Infrared Spectroscopy Neurofeedback Enhances Human Spatial Memory. Front Hum Neurosci 2021; 15:681193. [PMID: 34658812 PMCID: PMC8511425 DOI: 10.3389/fnhum.2021.681193] [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: 03/16/2021] [Accepted: 09/09/2021] [Indexed: 11/13/2022] Open
Abstract
Spatial memory is an important cognitive function for human daily life and may present dysfunction or decline due to aging or clinical diseases. Functional near-infrared spectroscopy neurofeedback (fNIRS-NFB) is a promising neuromodulation technique with several special advantages that can be used to improve human cognitive functions by manipulating the neural activity of targeted brain regions or networks. In this pilot study, we intended to test the feasibility of fNIRS-NFB to enhance human spatial memory ability. The lateral parietal cortex, an accessible cortical region in the posterior medial hippocampal-cortical network that plays a crucial role in human spatial memory processing, was selected as the potential feedback target. A placebo-controlled fNIRS-NFB experiment was conducted to instruct individuals to regulate the neural activity in this region or an irrelevant control region. Experimental results showed that individuals learned to up-regulate the neural activity in the region of interest successfully. A significant increase in spatial memory performance was found after 8-session neurofeedback training in the experimental group but not in the control group. Furthermore, neurofeedback-induced neural activation increase correlated with spatial memory improvement. In summary, this study preliminarily demonstrated the feasibility of fNIRS-NFB to improve human spatial memory and has important implications for further applications.
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Affiliation(s)
- Xin Hou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,School of Education, Chongqing Normal University, Chongqing, China
| | - Xiang Xiao
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yilong Gong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Zheng Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University at Zhuhai, Zhuhai, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Antao Chen
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
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10
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Secondary rewards acquire enhanced incentive motivation via increasing anticipatory activity of the lateral orbitofrontal cortex. Brain Struct Funct 2021; 226:2339-2355. [PMID: 34254166 DOI: 10.1007/s00429-021-02333-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/28/2021] [Indexed: 10/20/2022]
Abstract
The motivation to strive for and consume primary rewards such as palatable food is bound by devaluation mechanisms, yet secondary rewards such as money may not be bound by these regulatory mechanisms. The present study therefore aimed at determining diverging devaluation trajectories for primary (chocolate milk) and secondary (money) reinforcers on the behavioral and neural level. Devaluation procedures with repeated exposure to reward combined with a choice (Experiment 1) and an incentive delay (Experiment 2) paradigm consistently revealed decreasing hedonic value for the primary reward as reflected by decreasing hedonic evaluation and choice preference with repeated receipt, while hedonic value and preferences for the secondary reward increased. Concomitantly acquired functional near-infrared spectroscopy (fNIRS) data during the incentive delay paradigm revealed that increasing value of the secondary reward was accompanied by increasing anticipatory activation in the lateral orbitofrontal cortex, while during the consummatory phase the secondary reinforcer associated with higher medial orbitofrontal activity irrespective of devaluation stage. Overall, the findings suggest that-in contrast to primary reinforcers-secondary reinforcers, i.e. money, can acquire progressively enhanced incentive motivation with repeated receipt, suggesting a mechanism which could promote escalating striving to obtain secondary rewards.
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11
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Trambaiolli LR, Tiwari A, Falk TH. Affective Neurofeedback Under Naturalistic Conditions: A Mini-Review of Current Achievements and Open Challenges. FRONTIERS IN NEUROERGONOMICS 2021; 2:678981. [PMID: 38235228 PMCID: PMC10790905 DOI: 10.3389/fnrgo.2021.678981] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 04/28/2021] [Indexed: 01/19/2024]
Abstract
Affective neurofeedback training allows for the self-regulation of the putative circuits of emotion regulation. This approach has recently been studied as a possible additional treatment for psychiatric disorders, presenting positive effects in symptoms and behaviors. After neurofeedback training, a critical aspect is the transference of the learned self-regulation strategies to outside the laboratory and how to continue reinforcing these strategies in non-controlled environments. In this mini-review, we discuss the current achievements of affective neurofeedback under naturalistic setups. For this, we first provide a brief overview of the state-of-the-art for affective neurofeedback protocols. We then discuss virtual reality as a transitional step toward the final goal of "in-the-wild" protocols and current advances using mobile neurotechnology. Finally, we provide a discussion of open challenges for affective neurofeedback protocols in-the-wild, including topics such as convenience and reliability, environmental effects in attention and workload, among others.
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Affiliation(s)
- Lucas R. Trambaiolli
- Basic Neuroscience Division, McLean Hospital–Harvard Medical School, Belmont, MA, United States
| | - Abhishek Tiwari
- Institut National de la Recherche Scientifique, University of Quebec, Montreal, QC, Canada
| | - Tiago H. Falk
- Institut National de la Recherche Scientifique, University of Quebec, Montreal, QC, Canada
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12
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Yu L, Long Q, Tang Y, Yin S, Chen Z, Zhu C, Chen A. Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses. Front Hum Neurosci 2021; 15:620342. [PMID: 33815078 PMCID: PMC8010650 DOI: 10.3389/fnhum.2021.620342] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 02/24/2021] [Indexed: 11/15/2022] Open
Abstract
We investigated if emotion regulation can be improved through self-regulation training on non-emotional brain regions, as well as how to change the brain networks implicated in this process. During the training period, the participants were instructed to up-regulate their right dorsolateral prefrontal cortex (rDLPFC) activity according to real-time functional near-infrared spectroscopy (fNIRS) neurofeedback signals, and there was no emotional element. The results showed that the training significantly increased emotion regulation, resting-state functional connectivity (rsFC) within the emotion regulation network (ERN) and frontoparietal network (FPN), and rsFC between the ERN and amygdala; however, training did not influence the rsFC between the FPN and the amygdala. However, self-regulation training on rDLPFC significantly improved emotion regulation and generally increased the rsFCs within the networks; the rsFC between the ERN and amygdala was also selectively increased. The present study also described a safe approach that may improve emotion regulation through self-regulation training on non-emotional brain regions.
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Affiliation(s)
- Linlin Yu
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Quanshan Long
- Faculty of Education, Yunnan Normal University, Kunming, China
| | - Yancheng Tang
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Shouhang Yin
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Zijun Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Antao Chen
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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13
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Soekadar SR, Kohl SH, Mihara M, von Lühmann A. Optical brain imaging and its application to neurofeedback. Neuroimage Clin 2021; 30:102577. [PMID: 33545580 PMCID: PMC7868728 DOI: 10.1016/j.nicl.2021.102577] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 12/30/2020] [Accepted: 01/15/2021] [Indexed: 12/30/2022]
Abstract
Besides passive recording of brain electric or magnetic activity, also non-ionizing electromagnetic or optical radiation can be used for real-time brain imaging. Here, changes in the radiation's absorption or scattering allow for continuous in vivo assessment of regional neurometabolic and neurovascular activity. Besides magnetic resonance imaging (MRI), over the last years, also functional near-infrared spectroscopy (fNIRS) was successfully established in real-time metabolic brain imaging. In contrast to MRI, fNIRS is portable and can be applied at bedside or in everyday life environments, e.g., to restore communication and movement. Here we provide a comprehensive overview of the history and state-of-the-art of real-time optical brain imaging with a special emphasis on its clinical use towards neurofeedback and brain-computer interface (BCI) applications. Besides pointing to the most critical challenges in clinical use, also novel approaches that combine real-time optical neuroimaging with other recording modalities (e.g. electro- or magnetoencephalography) are described, and their use in the context of neuroergonomics, neuroenhancement or neuroadaptive systems discussed.
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Affiliation(s)
- Surjo R Soekadar
- Clinical Neurotechnology Laboratory, Dept. of Psychiatry and Psychotherapy, Neuroscience Research Center, Campus Charité Mitte (CCM), Charité - University Medicine of Berlin, Berlin, Germany.
| | - Simon H Kohl
- JARA-Institute Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany; Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Faculty, RWTH Aachen University, Germany
| | - Masahito Mihara
- Department of Neurology, Kawasaki Medical School, Kurashiki-City, Okayama, Japan
| | - Alexander von Lühmann
- Machine Learning Department, Computer Science, Technische Universität Berlin, Berlin, Germany; Neurophotonics Center, Biomedical Engineering, Boston University, Boston, USA
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14
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Charles F, De Castro Martins C, Cavazza M. Prefrontal Asymmetry BCI Neurofeedback Datasets. Front Neurosci 2020; 14:601402. [PMID: 33390885 PMCID: PMC7775574 DOI: 10.3389/fnins.2020.601402] [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: 08/31/2020] [Accepted: 11/25/2020] [Indexed: 12/14/2022] Open
Abstract
Prefrontal cortex (PFC) asymmetry is an important marker in affective neuroscience and has attracted significant interest, having been associated with studies of motivation, eating behavior, empathy, risk propensity, and clinical depression. The data presented in this paper are the result of three different experiments using PFC asymmetry neurofeedback (NF) as a Brain-Computer Interface (BCI) paradigm, rather than a therapeutic mechanism aiming at long-term effects, using functional near-infrared spectroscopy (fNIRS) which is known to be particularly well-suited to the study of PFC asymmetry and is less sensitive to artifacts. From an experimental perspective the BCI context brings more emphasis on individual subjects' baselines, successful and sustained activation during epochs, and minimal training. The subject pool is also drawn from the general population, with less bias toward specific behavioral patterns, and no inclusion of any patient data. We accompany our datasets with a detailed description of data formats, experiment and protocol designs, as well as analysis of the individualized metrics for definitions of success scores based on baseline thresholds as well as reference tasks. The work presented in this paper is the result of several experiments in the domain of BCI where participants are interacting with continuous visual feedback following a real-time NF paradigm, arising from our long-standing research in the field of affective computing. We offer the community access to our fNIRS datasets from these experiments. We specifically provide data drawn from our empirical studies in the field of affective interactions with computer-generated narratives as well as interfacing with algorithms, such as heuristic search, which all provide a mechanism to improve the ability of the participants to engage in active BCI due to their realistic visual feedback. Beyond providing details of the methodologies used where participants received real-time NF of left-asymmetric increase in activation in their dorsolateral prefrontal cortex (DLPFC), we re-establish the need for carefully designing protocols to ensure the benefits of NF paradigm in BCI are enhanced by the ability of the real-time visual feedback to adapt to the individual responses of the participants. Individualized feedback is paramount to the success of NF in BCIs.
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Affiliation(s)
- Fred Charles
- Faculty of Science and Technology, Bournemouth University, Poole, United Kingdom
| | - Caio De Castro Martins
- School of Computing and Mathematical Sciences, University of Greenwich, London, United Kingdom
| | - Marc Cavazza
- School of Computing and Mathematical Sciences, University of Greenwich, London, United Kingdom
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15
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Kohl SH, Mehler DMA, Lührs M, Thibault RT, Konrad K, Sorger B. The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice. Front Neurosci 2020; 14:594. [PMID: 32848528 PMCID: PMC7396619 DOI: 10.3389/fnins.2020.00594] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/14/2020] [Indexed: 01/04/2023] Open
Abstract
Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been studied extensively in the past. More recently, researchers have begun to investigate the effects of functional near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a functional neuroimaging technique based on brain hemodynamics, which is easy to use, portable, inexpensive, and has reduced sensitivity to movement artifacts. Method: We provide the first systematic review and database of fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including a total of N = 441 participants; 337 healthy, 104 patients). We (1) give a comprehensive overview of how fNIRS-neurofeedback training protocols were implemented, (2) review the online signal-processing methods used, (3) evaluate the quality of studies using pre-set methodological and reporting quality criteria and also present statistical sensitivity/power analyses, (4) investigate the effectiveness of fNIRS-neurofeedback in modulating brain activation, and (5) review its effectiveness in changing behavior in healthy and pathological populations. Results and discussion: (1–2) Published studies are heterogeneous (e.g., neurofeedback targets, investigated populations, applied training protocols, and methods). (3) Large randomized controlled trials are still lacking. In view of the novelty of the field, the quality of the published studies is moderate. We identified room for improvement in reporting important information and statistical power to detect realistic effects. (4) Several studies show that people can regulate hemodynamic signals from cortical brain regions with fNIRS-neurofeedback and (5) these studies indicate the feasibility of modulating motor control and prefrontal brain functioning in healthy participants and ameliorating symptoms in clinical populations (stroke, ADHD, autism, and social anxiety). However, valid conclusions about specificity or potential clinical utility are premature. Conclusion: Due to the advantages of practicability and relatively low cost, fNIRS-neurofeedback might provide a suitable and powerful alternative to EEG and fMRI neurofeedback and has great potential for clinical translation of neurofeedback. Together with more rigorous research and reporting practices, further methodological improvements may lead to a more solid understanding of fNIRS-neurofeedback. Future research will benefit from exploiting the advantages of fNIRS, which offers unique opportunities for neurofeedback research.
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Affiliation(s)
- Simon H Kohl
- JARA-Institute Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany.,Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - David M A Mehler
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Michael Lührs
- Brain Innovation B.V., Research Department, Maastricht, Netherlands.,Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Robert T Thibault
- School of Psychological Science, University of Bristol, Bristol, United Kingdom.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Kerstin Konrad
- JARA-Institute Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany.,Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Bettina Sorger
- Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
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16
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BAHADIR A. Applications of Functional Near-Infrared Spectroscopy (fNIRS)- Based Neurofeedback (NF) Training in Neurophsychiatric Disorders. KONURALP TIP DERGISI 2020. [DOI: 10.18521/ktd.670281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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