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Gao K, He H, Lu B, Xie Q, Lu J, Yao D, Luo C, Li G. Discrepant changes in structure-function coupling in dancers and musicians. Cereb Cortex 2024; 34:bhae068. [PMID: 38489785 DOI: 10.1093/cercor/bhae068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/02/2024] [Accepted: 02/07/2024] [Indexed: 03/17/2024] Open
Abstract
Dance and music are well known to improve sensorimotor skills and cognitive functions. To reveal the underlying mechanism, previous studies focus on the brain plastic structural and functional effects of dance and music training. However, the discrepancy training effects on brain structure-function relationship are still blurred. Thus, proficient dancers, musicians, and controls were recruited in this study. The graph signal processing framework was employed to quantify the region-level and network-level relationship between brain function and structure. The results showed the increased coupling strength of the right ventromedial putamen in the dance and music groups. Distinctly, enhanced coupling strength of the ventral attention network, increased coupling strength of the right inferior frontal gyrus opercular area, and increased function connectivity of coupling function signal between the right and left middle frontal gyrus were only found in the dance group. Besides, the dance group indicated enhanced coupling function connectivity between the left inferior parietal lobule caudal area and the left superior parietal lobule intraparietal area compared with the music groups. The results might illustrate dance and music training's discrepant effect on the structure-function relationship of the subcortical and cortical attention networks. Furthermore, dance training seemed to have a greater impact on these networks.
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Affiliation(s)
- Kexin Gao
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Hui He
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Bao Lu
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Qiushui Xie
- Beijing Dance Academy, Wanshousi Road, Haidian District, Beijing, 100081, China
| | - Jing Lu
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Dezhong Yao
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Cheng Luo
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
| | - Gujing Li
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, Center for Information in Medicine, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, Sichuan 611731, China
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Ichijo K, Oka M, Koda K, Kamogashira T, Kinoshita M, Kawahara T, Takashima I, Demura S, Yamasoba T, Fujimoto C. Analysis of postural stability using foam posturography in patients with persistent postural-perceptual dizziness. J Vestib Res 2024; 34:133-144. [PMID: 38073358 DOI: 10.3233/ves-230034] [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] [Indexed: 05/12/2024]
Abstract
BACKGROUND/OBJECTIVE Persistent postural-perceptual dizziness (PPPD) is worsened in a standing posture, or by body movement, or visual stimulation. We aimed to evaluate postural stability in PPPD patients using foam posturography and to investigate the dependence on visual and somatosensory input in the standing posture. METHODS Foam posturography was performed on 53 PPPD patients, and data from the PPPD patients were compared with the data from an age- and sex-matched healthy controls. The PPPD patients were divided into four groups based on the findings of vestibular function tests and the effect of vestibular function on posturographic data was examined. RESULTS Romberg's ratios were significantly higher in PPPD patients than in controls. The median Romberg's ratios in PPPD patients with normal vestibular function were also higher than those in controls. However, foam ratio was significantly lower in PPPD patients than in controls. The median foam ratios in PPPD patients with vestibular dysfunction were also lower than those in controls. CONCLUSIONS In a standing posture, PPPD patients may be more dependent on visual input and less dependent on somatosensory input than healthy subjects. Higher dependence on visual and lower dependence on somatosensory input in PPPD may be a feature unaffected by vestibular function.
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Affiliation(s)
- Kentaro Ichijo
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mineko Oka
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kento Koda
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Teru Kamogashira
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Makoto Kinoshita
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takuya Kawahara
- Clinical Research Promotion Center, The University of Tokyo Hospital, Tokyo, Japan
| | - Ikumi Takashima
- Clinical Research Promotion Center, The University of Tokyo Hospital, Tokyo, Japan
| | - Shinichi Demura
- Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
| | - Tatsuya Yamasoba
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Chisato Fujimoto
- Department of Otolaryngology, Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Liang RB, Liu LQ, Shi WQ, Sun T, Ge QM, Li QY, Shu HY, Zhang LJ, Shao Y. Abnormal Fractional Amplitude of Low Frequency Fluctuation Changes in Patients With Dry Eye Disease: A Functional Magnetic Resonance Imaging Study. Front Hum Neurosci 2022; 16:900409. [PMID: 35693538 PMCID: PMC9175025 DOI: 10.3389/fnhum.2022.900409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeTo investigate spontaneous brain activity in patients with dry eye (DE) and healthy control (HC) using the fractional amplitude of low frequency fluctuation (fALFF) technique with the aim of elucidating the relationship between the clinical symptoms of DE and changes in brain function.Material and MethodsA total of 28 patients with DE and 28 matched healthy volunteers (10 males and 18 females in each group) were enrolled. Resting-state functional magnetic resonance imaging scans were performed in both groups. Then all subjects were required to complete a comprehensive Hospital Anxiety and Depression Scale (HADS). Receiver operating characteristic (ROC) curve analysis was used to evaluate the differences in fALFF values between the two groups and their diagnostic value. Linear correlations between HADS and fALFF values in different brain regions of DE patients were analyzed using the Pearson correlation coefficient.ResultsPatients with DE had significantly higher fALFF values in the left calcarine sulcus (CS) than the HC group, while fALFF values in the bilateral middle frontal gyrus (MFG) and right MFG/right inferior frontal gyrus (IFG) were significantly lower in DE patients than in HC group. fALFF values had a high diagnostic value for differentiating patients with DE from the HC group (P < 0.001). Right MFG and right MFG/IFG were significantly correlated with HADS values.ConclusionOur study found that DE mainly involved functional disorders in the brain areas of the left CS, bilateral MFG and right MFG/right IFG, which helped us to find possible clinical features of DE disease and reflected the potential pathological mechanism of DE.
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Cortical reorganization to improve dynamic balance control with error amplification feedback. J Neuroeng Rehabil 2022; 19:3. [PMID: 35034661 PMCID: PMC8762892 DOI: 10.1186/s12984-022-00980-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 12/29/2021] [Indexed: 11/21/2022] Open
Abstract
Background Error amplification (EA), virtually magnify task errors in visual feedback, is a potential neurocognitive approach to facilitate motor performance. With regional activities and inter-regional connectivity of electroencephalography (EEG), this study investigated underlying cortical mechanisms associated with improvement of postural balance using EA. Methods Eighteen healthy young participants maintained postural stability on a stabilometer, guided by two visual feedbacks (error amplification (EA) vs. real error (RE)), while stabilometer plate movement and scalp EEG were recorded. Plate dynamics, including root mean square (RMS), sample entropy (SampEn), and mean frequency (MF) were used to characterize behavioral strategies. Regional cortical activity and inter-regional connectivity of EEG sub-bands were characterized to infer neural control with relative power and phase-lag index (PLI), respectively. Results In contrast to RE, EA magnified the errors in the visual feedback to twice its size during stabilometer stance. The results showed that EA led to smaller RMS of postural fluctuations with greater SampEn and MF than RE did. Compared with RE, EA altered cortical organizations with greater regional powers in the mid-frontal cluster (theta, 4–7 Hz), occipital cluster (alpha, 8–12 Hz), and left temporal cluster (beta, 13–35 Hz). In terms of the phase-lag index of EEG between electrode pairs, EA significantly reduced long-range prefrontal-parietal and prefrontal-occipital connectivity of the alpha/beta bands, and the right tempo-parietal connectivity of the theta/alpha bands. Alternatively, EA augmented the fronto-centro-parietal connectivity of the theta/alpha bands, along with the right temporo-frontal and temporo-parietal connectivity of the beta band. Conclusion EA alters postural strategies to improve stance stability on a stabilometer with visual feedback, attributable to enhanced error processing and attentional release for target localization. This study provides supporting neural correlates for the use of virtual reality with EA during balance training.
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Zappasodi F, Croce P, Di Matteo R, Brunetti M. Inhibition of return in time-lapse: Brain Rhythms during grip force control for spatial attention. Neuropsychologia 2021; 163:108068. [PMID: 34687747 DOI: 10.1016/j.neuropsychologia.2021.108068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/15/2021] [Accepted: 10/18/2021] [Indexed: 11/25/2022]
Abstract
The inhibition of return (IoR) is the observable slowed response to a target at a cued position for cue-target intervals of longer than 300 ms; when there has been enough time to disengage from a previously-cued location, an inhibitory after-effect can be observed. Studies aimed at understanding whether mechanisms underlying IoR act at a perceptual/attentional or a later response-execution stage have offered divergent results. Though focusing on the brain's responses to cue-target intervals can offer significant information on the nature of IoR, few studies have investigated neural activity during this interval; these studies suggest the generation of inhibitory tags on the spatial coordinates of the previously attended position which, in turn, inhibit motor programming toward that position. As such, a cue-target task was administered in this study; the rhythmic activity of EEG signals on the entire cue-target interval was measured to determine whether IoR is referred to early or late response processing stages. A visually-guided force variation during isometric contraction, instead of a key press response, was required to reduce the effect of motor response initiation. Our results indicated the prominent involvement of the fronto-parietal and occipital cortical areas post-cue appearance, with a peculiar theta band modulation characterizing the posterior parietal cortex. Theta activity in this region was enhanced post-cue onset, decreased over time, and was enhanced again when a target appeared in an unexpected location rather than in a cued position. This suggests that the mechanism that generates IoR sequentially affects perceptual/attentional processing and motor preparation rather than response execution.
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Affiliation(s)
- Filippo Zappasodi
- Department of Neuroscience, Imaging and Clinical Sciences, 'Gabriele d'Annunzio' University, Chieti, Italy; Institute for Advanced Biomedical Technologies, 'Gabriele d'Annunzio' University, Chieti, Italy
| | - Pierpaolo Croce
- Department of Neuroscience, Imaging and Clinical Sciences, 'Gabriele d'Annunzio' University, Chieti, Italy
| | - Rosalia Di Matteo
- Department of Neuroscience, Imaging and Clinical Sciences, 'Gabriele d'Annunzio' University, Chieti, Italy
| | - Marcella Brunetti
- Department of Neuroscience, Imaging and Clinical Sciences, 'Gabriele d'Annunzio' University, Chieti, Italy; Institute for Advanced Biomedical Technologies, 'Gabriele d'Annunzio' University, Chieti, Italy.
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Nakajima R, Kinoshita M, Okita H, Shinohara H, Nakada M. Disconnection of posterior part of the frontal aslant tract causes acute phase motor functional deficit. Brain Cogn 2021; 151:105752. [PMID: 33993006 DOI: 10.1016/j.bandc.2021.105752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 04/20/2021] [Accepted: 05/03/2021] [Indexed: 11/28/2022]
Abstract
The frontal aslant tract (FAT) mainly connects the supplementary motor area (SMA) and inferior frontal gyrus. The left FAT is involved in language-related functions, while the functional role of the right FAT is not fully understood. The aim of this study was to investigate the function of the right FAT by dividing it into three segments according to the anatomical structure. A total of 34 right frontal gliomas who had undergone surgery were studied. Participants were assessed for the acute and chronic phases of several neuropsychological and motor functions. FAT was reconstructed into the anterior, middle, and posterior segments according to the cortical connections as the medial prefrontal cortex, pre-SMA, and SMA proper, respectively. The relationships between the damaged severity of each FAT segment and behavioral scores were analyzed. A significant relationship was observed only in the acute phase motor function and posterior segment of the FAT. The middle segment was involved in motor function, but it did not have a sufficient significance level compared to the posterior segment. Our study revealed that the right FAT can be divided into three segments and that its posterior segment is related to acute phase motor function.
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Affiliation(s)
- Riho Nakajima
- Department of Occupational therapy, Faculty of Health Science, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Masashi Kinoshita
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Hirokazu Okita
- Department of Physical Medicine and Rehabilitation, Kanazawa University Hospital, Kanazawa, Japan
| | - Harumichi Shinohara
- Department of Functional Anatomy, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
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Midfrontal theta as moderator between beta oscillations and precision control. Neuroimage 2021; 235:118022. [PMID: 33836271 DOI: 10.1016/j.neuroimage.2021.118022] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 03/17/2021] [Accepted: 03/30/2021] [Indexed: 02/06/2023] Open
Abstract
Control of movements using visual information is crucial for many daily activities, and such visuomotor control has been revealed to be supported by alpha and beta cortical oscillations. However, it has been remained to be unclear how midfrontal theta and occipital gamma oscillations, which are associated with high-level cognitive functions, would be involved in this process to facilitate performance. Here we addressed this fundamental open question in healthy young adults by measuring high-density cortical activity during a precision force-matching task. We manipulated the amount of error by changing visual feedback gain (low, medium, and high visual gains) and analyzed event-related spectral perturbations. Increasing the visual feedback gain resulted in a decrease in force error and variability. There was an increase in theta synchronization in the midfrontal area and also in beta desynchronization in the sensorimotor and posterior parietal areas with higher visual feedback gains. Gamma de/synchronization was not evident during the task. In addition, we found a moderation effect of midfrontal theta on the positive relationship between the beta oscillations and force error. Subsequent simple slope analysis indicated that the effect of beta oscillations on force error was weaker when midfrontal theta was high. Our findings suggest that the midfrontal area signals the increased need of cognitive control to refine behavior by modulating the visuomotor processing at theta frequencies.
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Zheng X, Luo J, Deng L, Li B, Li L, Huang DF, Song R. Detection of functional connectivity in the brain during visuo-guided grip force tracking tasks: A functional near-infrared spectroscopy study. J Neurosci Res 2020; 99:1108-1119. [PMID: 33368535 DOI: 10.1002/jnr.24769] [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: 11/17/2020] [Accepted: 11/23/2020] [Indexed: 11/10/2022]
Abstract
The functional connectivity (FC) between multiple brain regions during tasks is currently gradually being explored with functional near-infrared spectroscopy (fNIRS). However, the FC present during grip force tracking tasks performed under visual feedback remains unclear. In the present study, we used fNIRS to measure brain activity during resting states and grip force tracking tasks at 25%, 50%, and 75% of maximum voluntary contraction (MVC) in 11 healthy subjects, and the activity was measured from four target brain regions: the left prefrontal cortex (lPFC), right prefrontal cortex (rPFC), left sensorimotor cortex (lSMC), and right sensorimotor cortex (rSMC). We determined the FC between these regions utilizing three different methods: Pearson's correlation method, partial correlation method, and a pairwise maximum entropy model (MEM). The results showed that the FC of lSMC-rSMC and lPFC-rPFC (interhemispheric homologous pairs) were significantly stronger than those of other brain region pairs. Moreover, FC of lPFC-rPFC was strengthened during the 75% MVC task compared to the other task states and the resting states. The FC of lSMC-lPFC and rSMC-rPFC (intrahemispheric region pairs) strengthened with a higher task load. The results provided new insights into the FC between brain regions during visuo-guided grip force tracking tasks.
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Affiliation(s)
- Xinyi Zheng
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Jie Luo
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Lingyun Deng
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Bing Li
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Le Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center for Rehabilitation Medicine and Clinical Translation, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dong Feng Huang
- Guangdong Engineering Technology Research Center for Rehabilitation Medicine and Clinical Translation, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Xinhua College, Sun Yat-sen University, Guangzhou, China
| | - Rong Song
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
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Berntsen MB, Cooper NR, Romei V. Emotional Valence Modulates Low Beta Suppression and Recognition of Social Interactions. J PSYCHOPHYSIOL 2020. [DOI: 10.1027/0269-8803/a000251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Abstract. Emotional valence may have evolutionary adaptive purposes as negative stimuli can be related to survival against threat and positive stimuli to facilitating relationships. This can be seen in the different impact positive and negative stimuli have on human health and well-being, and in the valence-specific cortical activity and neurophysiological patterns reported; for example, negative stimuli are processed more rapidly than positive. Valence-specific patterns are affected by individual differences and personality traits such as empathy, where levels of empathy relate to different reactivity patterns to valence. Here we investigated the effect of valence on neurophysiological responses and interpretation of social interactions depicted by point-light biological motion (PLBM) displays. The meaning of each PLBM display is revealed as the sequence unfolds and is therefore not readily available for snap assessments such as fight or flight responses. We compared electroencephalogram (EEG) reactivity during observation of the displays between individuals with low, moderate, or high levels of empathy. Results indicated that positive displays induced significantly larger suppression in lower beta (13–20 Hz) compared to control displays, while negative displays revealed no difference in suppression compared to scrambled versions. However, no difference between positive and negative displays was observed, suggesting that the rapid processing of negative displays may have been minimized by revealing meaning more slowly. Positive displays were interpreted more accurately, while levels of empathy did not modulate either neurophysiological responses or interpretation, suggesting that empathy under these conditions did not influence the way in which valence was processed or interpreted.
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Affiliation(s)
- Monica B. Berntsen
- Centre for Brain Science, Department of Psychology, University of Essex, Colchester, UK
| | - Nicholas R. Cooper
- Centre for Brain Science, Department of Psychology, University of Essex, Colchester, UK
| | - Vincenzo Romei
- Centre for Brain Science, Department of Psychology, University of Essex, Colchester, UK
- Department of Psychology and Centre for Studies and Researches in Cognitive Neuroscience, Cesena Campus, University of Bologna, Cesena, Italy
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Zhang L, Li W, Wang L, Bai T, Ji GJ, Wang K, Tian Y. Altered functional connectivity of right inferior frontal gyrus subregions in bipolar disorder: a resting state fMRI study. J Affect Disord 2020; 272:58-65. [PMID: 32379621 DOI: 10.1016/j.jad.2020.03.122] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/04/2020] [Accepted: 03/29/2020] [Indexed: 11/26/2022]
Abstract
The right inferior frontal gyrus (rIFG) is a key cortical node in the circuits of emotion and cognitive control, and it has been frequently associated with bipolar disorder (BP); however, a reliable pattern of aberrant rIFG activation and connectivity in bipolar disorder has yet to be established. To further elucidate rIFG abnormalities in different states of bipolar disorder, we examined activation and functional connectivity (FC) in five subregions of rIFG in bipolar disorder. A total of 83 participants, including those with bipolar depression (BPD; n = 25) and bipolar mania (BPM; n = 37) along with healthy control (HC) subjects (n = 26), were examined by resting state functional magnetic resonance imaging (rs-fMRI). Both BPD and BPM groups showed higher values of amplitude of low-frequency fluctuations (ALFF) than healthy control in four of the five rIFG subregions except cluster 2(posterior-ventral rIFG). Using five subregions of rIFG as seeds, the decreased FC in bipolar disorder was mainly between posterior-ventral rIFG(cluster 2) and multiple brain regions including the postcentral gyrus, the precentral gyrus, paracentral lobule, lingual Gyrus, fusiform and cerebellum posterior lobe. These results indicated that local activity and FC were altered within specific subregions of the rIFG in BP. These findings may provide the distinct functional connectivity of rIFG subregions in BP and suggest that the cluster2 (posterior-ventral rIFG) circuitry plays a crucial role in BP. Also, such abnormalities might help define a more precise intervention targets.
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Affiliation(s)
- Li Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Wenfei Li
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Long Wang
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Tongjian Bai
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Gong-Jun Ji
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China;; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China;; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
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Lim H, Kim WS, Ku J. Transcranial Direct Current Stimulation Effect on Virtual Hand Illusion. CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING 2020; 23:541-549. [PMID: 32478563 DOI: 10.1089/cyber.2019.0741] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Virtual reality (VR) is effectively used to evoke the mirror illusion, and transcranial direct current stimulation (tDCS) synergistically facilitates this illusion. This study investigated whether a mirror virtual hand illusion (MVHI) induced by an immersive, first-person-perspective, virtual mirror system could be modulated by tDCS of the primary motor cortex. Fourteen healthy adults (average age 21.86 years ±0.47, seven men and seven women) participated in this study, and they experienced VR with and without tDCS-the tDCS and sham conditions, each of which takes ∼30 minutes-on separate days to allow the washout of the tDCS effect. While experiencing VR, the movements of the virtual left hand reflected the flexion and extension of the real right hand. Subsequently, electroencephalogram was recorded, the magnitude of the proprioceptive shift was measured, and the participants provided responses to a questionnaire regarding hand ownership. A significant difference in the proprioceptive shift was observed between the tDCS and sham conditions. In addition, there was significant suppression of the mu power in Pz, and augmentation of the beta power in the Pz, P4, O1, and O2 channels. The difference in proprioceptive deviation between the two conditions showed significant negative correlation with mu suppression over the left frontal lobe in the tDCS condition. Finally, the question "I felt that the virtual hand was my own hand" received a significantly higher score under the tDCS condition. In short, applying tDCS over the motor cortex facilitates the MVHI by activating the attentional network over the parietal and frontal lobes such that the MVHI induces more proprioceptive drift, which suggests that the combination of VR and tDCS can enhance the immersive effect in VR. This result provides better support for the use of the MVHI paradigm in combination with tDCS for recovery from illnesses such as stroke.
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Affiliation(s)
- Hyunmi Lim
- Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, Republic of Korea
| | - Won-Seok Kim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jeonghun Ku
- Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, Republic of Korea
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Jo YT, Joo SW, Shon SH, Kim H, Kim Y, Lee J. Diagnosing schizophrenia with network analysis and a machine learning method. Int J Methods Psychiatr Res 2020; 29:e1818. [PMID: 32022360 PMCID: PMC7051840 DOI: 10.1002/mpr.1818] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/17/2019] [Accepted: 01/10/2020] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE Schizophrenia is a chronic and debilitating neuropsychiatric disorder. It has been suggested that impaired brain connectivity underlies the pathophysiology of schizophrenia. Network analysis has thus recently emerged in the field of schizophrenia research. METHODS We investigated 48 schizophrenia patients and 24 healthy controls using network analysis and a machine learning method. A number of global and nodal network properties were estimated from graphs that were reconstructed using probabilistic brain tractography. These network properties were then compared between groups and used for machine learning to classify schizophrenia patients and healthy controls. RESULTS In classifying schizophrenia patients and healthy controls via network properties, the support vector machine, random forest, naïve Bayes, and gradient boosting machine learning models showed an encouraging level of performance. The overall connectivity was revealed as the most significant contributing feature to this classification among the global network properties. Among the nodal network properties, although the relative importance of each region of interest was not identical, there were still some patterns. CONCLUSION In conclusion, the possibility exists to classify schizophrenia patients and healthy controls using network properties, and we have found that there is a provisional pattern of involved brain regions among patients with schizophrenia.
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Affiliation(s)
- Young Tak Jo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sung Woo Joo
- Medical Corps, 1st fleet, Republic of Korea Navy, Donghae, Korea
| | - Seung-Hyun Shon
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Harin Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yangsik Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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13
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Reduced resting-state brain functional network connectivity and poor regional homogeneity in patients with CADASIL. J Headache Pain 2019; 20:103. [PMID: 31711415 PMCID: PMC6849263 DOI: 10.1186/s10194-019-1052-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/10/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) manifests principally as a suite of cognitive impairments, particularly in the executive domain. Executive functioning requires the dynamic coordination of neural activity over large-scale networks. It remains unclear whether changes in resting-state brain functional network connectivity and regional homogeneities (ReHos) underly the mechanisms of executive dysfunction evident in CADASIL patients. METHODS In this study, 22 CADASIL patients and 44 matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI). Independent component analysis (ICA) was used to measure functional brain network connectivity, and ReHos were calculated to evaluate local brain activities. We used seed-based functional connectivity (FC) analyses to determine whether dysfunctional areas (as defined by ReHos) exhibited abnormal FC with other brain areas. Relationships among the mean intra-network connectivity z-scores of dysfunctional areas within functional networks, and cognitive scores were evaluated using Pearson correlation analyses. RESULTS Compared to the controls, CADASIL patients exhibited decreased intra-network connectivity within the bilateral lingual gyrus (LG) and the right cuneus (CU) (thus within the visual network [VIN)], and within the right precuneus (Pcu), inferior frontal gyrus (IFG), and precentral gyrus (thus within the frontal network [FRN]). Compared to the controls, patients also exhibited significantly lower ReHos in the right precuneus and cuneus (Pcu/CU), visual association cortex, calcarine gyri, posterior cingulate, limbic lobe, and weaker FC between the right Pcu/CU and the bilateral parahippocampal gyrus (PHG), and between the right Pcu/CU and the right postcentral gyrus. Notably, the mean connectivity z-scores of the bilateral LG and the right CU within the VIN were positively associated with compromised attention, calculation and delayed recall as revealed by tests of the various cognitive domains explored by the Mini-Mental State Examination. CONCLUSIONS The decreases in intra-network connectivity within the VIN and FRN and reduced local brain activity in the posterior parietal area suggest that patients with CADASIL may exhibit dysfunctional visuomotor behaviors (a hallmark of executive function), and that all visual information processing, visuomotor planning, and movement execution may be affected.
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14
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Alterations in the Structural and Functional Connectivity of the Visuomotor Network of Children With Periventricular Leukomalacia. Semin Pediatr Neurol 2019; 31:48-56. [PMID: 31548024 PMCID: PMC6761984 DOI: 10.1016/j.spen.2019.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Children born preterm with periventricular leukomalacia (PVL) demonstrate increased difficulties with tasks requiring visuomotor integration. The visuomotor integration network encompasses brain regions within frontal, parietal, and occipital cortices. Because of their proximity to the lateral ventricle the underlying white matter pathways are at a high risk of damage following PVL-related hypoxic-ischemic white matter injury. This study provides an exploratory analysis of the structural and functional connections within the visuomotor integration network, along with an a priori evaluation of the superior longitudinal fasciculus, inferior fronto-occipital fasciculus, and frontal aslant tract. For each pathway, tracts within both hemispheres revealed decreased volume and number of reconstructed fibers and an increase in quantitative anisotropy and generalized fractional anisotropy. The connectivity results also indicate that there may be changes to both the structural integrity and functional integration of neural networks involved with visuomotor integration functions in children with PVL.
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15
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Shi H, Wang Y, Liu X, Xia L, Chen Y, Lu Q, Nguchu BA, Wang H, Qiu B, Wang X, Feng L. Cortical Alterations by the Abnormal Visual Experience beyond the Critical Period: A Resting-state fMRI Study on Constant Exotropia. Curr Eye Res 2019; 44:1386-1392. [PMID: 31280612 DOI: 10.1080/02713683.2019.1639767] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Purpose: The pathological mechanisms of constant exotropia (XT) are still not understood. This study aimed to critically investigate whether patients with XT express neuronal activity changes after the critical period of visual development and further explore how these alterations are associated with behavioral performance.Materials and methods: Fourteen patients with XT and 16 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI). The regional homogeneity (ReHo) method was used to evaluate spontaneous brain activities. The association between significantly altered mean ReHo values and behavioral performance was assessed using Pearson's correlation analysis.Results: Compared with HCs, the right secondary visual cortex (V2) in patients with XT exhibited increased ReHo values, whereas the left Brodmann area 47 (BA47) demonstrated decreased spontaneous ReHo values. In patients with XT, the correlation between the left BA47's mean ReHo value and duration of strabismus was positively significant.Conclusions: These findings indicate that patients with XT have severe neural dysfunction in the right V2 and left BA47, and pathological severity in the left BA47 is likely influenced by duration of ongoing strabismus. Therefore, these results may provide clinically important information toward understanding the underlying pathological mechanisms of XT and thus can be fundamental in future XT research.
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Affiliation(s)
- Hongmei Shi
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xuemei Liu
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lin Xia
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yao Chen
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qinlin Lu
- CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, People's Republic of China
| | | | - Huijuan Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Lixia Feng
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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16
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Berntsen MB, Cooper NR, Hughes G, Romei V. Prefrontal transcranial alternating current stimulation improves motor sequence reproduction. Behav Brain Res 2019; 361:39-49. [PMID: 30578806 DOI: 10.1016/j.bbr.2018.12.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 12/01/2018] [Accepted: 12/18/2018] [Indexed: 11/18/2022]
Abstract
Cortical activity in frontal, parietal, and motor regions during sequence observation correlates with performance on sequence reproduction. Increased cortical activity observed during observation has therefore been suggested to represent increased learning. Causal relationships have been demonstrated between M1 and motor sequence reproduction and between parietal cortex and bimanual learning. However, similar effects have not been reported for frontal regions despite a number of reports implicating its involvement in encoding of motor sequences. Investigating causal relations between cortical activity and reproduction of motor sequences in parietal, frontal and primary motor regions can disentangle whether specific regions during simple observation can be selectively ascribed to encoding or reproduction or both. We designed a sensorimotor paradigm that included a strong motor sequence component, and tested the impact of individually adjusted transcranial alternating current stimulation (IAF-tACS) to prefrontal, parietal, and primary motor regions on electroencephalographic motor rhythms (alpha and beta bandwidths) during motor sequence observation and the ability to reproduce the observed sequences. Independently of the stimulated region, IAF-tACS led to a reduction in suppression in the lower beta-range relative to sham. Prefrontal IAF-tACS however, led to significant improvement in motor sequence reproduction, pinpointing the crucial role of prefrontal regions in motor sequence reproduction.
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Affiliation(s)
- Monica B Berntsen
- Centre for Brain Science, Department of Psychology, University of Essex, CO4 3SQ, United Kingdom.
| | - Nicholas R Cooper
- Centre for Brain Science, Department of Psychology, University of Essex, CO4 3SQ, United Kingdom.
| | - Gethin Hughes
- Centre for Brain Science, Department of Psychology, University of Essex, CO4 3SQ, United Kingdom
| | - Vincenzo Romei
- Centre for Brain Science, Department of Psychology, University of Essex, CO4 3SQ, United Kingdom; Dipartimento di Psicologia and Centro Studi e Ricerche in Neuroscienze Cognitive, Campus di Cesena, Universitá di Bologna, 47521 Cesena, Italy
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17
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Briggs RG, Chakraborty AR, Anderson CD, Abraham CJ, Palejwala AH, Conner AK, Pelargos PE, O'Donoghue DL, Glenn CA, Sughrue ME. Anatomy and white matter connections of the inferior frontal gyrus. Clin Anat 2019; 32:546-556. [DOI: 10.1002/ca.23349] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 02/01/2019] [Accepted: 02/03/2019] [Indexed: 12/30/2022]
Affiliation(s)
- Robert G. Briggs
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Arpan R. Chakraborty
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Christopher D. Anderson
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Carol J. Abraham
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Ali H. Palejwala
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Andrew K. Conner
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Panayiotis E. Pelargos
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Daniel L. O'Donoghue
- Department of Cell BiologyUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Chad A. Glenn
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
| | - Michael E. Sughrue
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences Center Oklahoma City Oklahoma
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18
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Hirvonen J, Monto S, Wang SH, Palva JM, Palva S. Dynamic large-scale network synchronization from perception to action. Netw Neurosci 2018; 2:442-463. [PMID: 30320293 PMCID: PMC6175692 DOI: 10.1162/netn_a_00039] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 12/19/2017] [Indexed: 12/13/2022] Open
Abstract
Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.
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Affiliation(s)
- Jonni Hirvonen
- Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland
| | - Simo Monto
- Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland
| | - Sheng H Wang
- Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland
| | - J Matias Palva
- Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland
| | - Satu Palva
- Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland
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19
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Vieluf S, Mora K, Gölz C, Reuter EM, Godde B, Dellnitz M, Reinsberger C, Voelcker-Rehage C. Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control. Neuroscience 2018; 388:203-213. [DOI: 10.1016/j.neuroscience.2018.07.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/23/2018] [Accepted: 07/14/2018] [Indexed: 10/28/2022]
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20
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Nobusako S, Ishibashi R, Takamura Y, Oda E, Tanigashira Y, Kouno M, Tominaga T, Ishibashi Y, Okuno H, Nobusako K, Zama T, Osumi M, Shimada S, Morioka S. Distortion of Visuo-Motor Temporal Integration in Apraxia: Evidence From Delayed Visual Feedback Detection Tasks and Voxel-Based Lesion-Symptom Mapping. Front Neurol 2018; 9:709. [PMID: 30210434 PMCID: PMC6119712 DOI: 10.3389/fneur.2018.00709] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 08/06/2018] [Indexed: 12/30/2022] Open
Abstract
Limb apraxia is a higher brain dysfunction that typically occurs after left hemispheric stroke and its cause cannot be explained by sensory disturbance or motor paralysis. The comparison of motor signals and visual feedback to generate errors, i.e., visuo-motor integration, is important in motor control and motor learning, which may be impaired in apraxia. However, in apraxia after stroke, it is unknown whether there is a specific deficit in visuo-motor temporal integration compared to visuo-tactile and visuo-proprioceptive temporal integration. We examined the precision of visuo-motor temporal integration and sensory-sensory (visuo-tactile and visuo-proprioception) temporal integration in apraxia after stroke by using a delayed visual feedback detection task with three different conditions (tactile, passive movement, and active movement). The delay detection threshold and the probability curve for delay detection obtained in this task were quantitative indicators of the respective temporal integration functions. In addition, we performed subtraction and voxel-based lesion-symptom mapping to identify the brain lesions responsible for apraxia and deficits in visuo-motor temporal integration. The behavioral experiments showed that the delay detection threshold was extended and that the probability curve for delay detection was less steep in apraxic patients compared to controls (pseudo-apraxic patients and unaffected patients), only for the active movement condition, and not for the tactile and passive movement conditions. Furthermore, the severity of apraxia was significantly correlated with the delay detection threshold and the steepness of the probability curve in the active movement condition. These results indicated that multisensory (i.e., visual, tactile, and proprioception) feedback was normally temporally integrated, but motor prediction and visual feedback were not correctly temporally integrated in apraxic patients. That is, apraxic patients had difficulties with visuo-motor temporal integration. Lesion analyses revealed that both apraxia and the distortion of visuo-motor temporal integration were associated with lesions in the fronto-parietal motor network, including the left inferior parietal lobule and left inferior frontal gyrus. We suppose that damage to the left inferior fronto-parietal network could cause deficits in motor prediction for visuo-motor temporal integration, but not for sensory-sensory (visuo-tactile and visuo-proprioception) temporal integration, leading to the distortion of visuo-motor temporal integration in patients with apraxia.
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Affiliation(s)
- Satoshi Nobusako
- Neurorehabilitation Research Center, Kio University, Nara, Japan.,Graduate School of Health Science, Kio University, Nara, Japan
| | | | - Yusaku Takamura
- Graduate School of Health Science, Kio University, Nara, Japan.,Department of Rehabilitation, Murata Hospital, Osaka, Japan
| | - Emika Oda
- Department of Rehabilitation, Murata Hospital, Osaka, Japan
| | | | - Masashi Kouno
- Department of Rehabilitation, Murata Hospital, Osaka, Japan
| | | | - Yurie Ishibashi
- Cognitive-Neurorehabilitation Center, Setsunan General Hospital, Osaka, Japan
| | - Hiroyuki Okuno
- Cognitive-Neurorehabilitation Center, Setsunan General Hospital, Osaka, Japan
| | - Kaori Nobusako
- Cognitive-Neurorehabilitation Center, Setsunan General Hospital, Osaka, Japan
| | - Takuro Zama
- Rhythm-Based Brain Information Processing Unit, RIKEN CBS-TOYOTA Collaboration Center, RIKEN Center for Brain Science, Saitama, Japan
| | - Michihiro Osumi
- Neurorehabilitation Research Center, Kio University, Nara, Japan.,Graduate School of Health Science, Kio University, Nara, Japan
| | - Sotaro Shimada
- Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kanagawa, Japan
| | - Shu Morioka
- Neurorehabilitation Research Center, Kio University, Nara, Japan.,Graduate School of Health Science, Kio University, Nara, Japan
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21
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Hübner L, Godde B, Voelcker-Rehage C. Older adults reveal enhanced task-related beta power decreases during a force modulation task. Behav Brain Res 2018; 345:104-113. [DOI: 10.1016/j.bbr.2018.02.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/16/2018] [Accepted: 02/20/2018] [Indexed: 10/18/2022]
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22
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Hartwigsen G, Neef NE, Camilleri JA, Margulies DS, Eickhoff SB. Functional Segregation of the Right Inferior Frontal Gyrus: Evidence From Coactivation-Based Parcellation. Cereb Cortex 2018; 29:1532-1546. [DOI: 10.1093/cercor/bhy049] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 02/13/2018] [Accepted: 02/14/2018] [Indexed: 12/19/2022] Open
Affiliation(s)
- Gesa Hartwigsen
- Research Group Modulation of Language Networks, Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Nicole E Neef
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Julia A Camilleri
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany
| | - Daniel S Margulies
- Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), UPMC UMRS 1127, Inserm U 1127, CNRS UMR 7225, Paris, France
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany
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23
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Beaton LE, Azma S, Marinkovic K. When the brain changes its mind: Oscillatory dynamics of conflict processing and response switching in a flanker task during alcohol challenge. PLoS One 2018; 13:e0191200. [PMID: 29329355 PMCID: PMC5766228 DOI: 10.1371/journal.pone.0191200] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 12/30/2017] [Indexed: 01/22/2023] Open
Abstract
Despite the subjective experience of being in full and deliberate control of our actions, our daily routines rely on a continuous and interactive engagement of sensory evaluation and response preparation streams. They unfold automatically and unconsciously and are seamlessly integrated with cognitive control which is mobilized by stimuli that evoke ambiguity or response conflict. Methods with high spatio-temporal sensitivity are needed to provide insight into the interplay between automatic and controlled processing. This study used anatomically-constrained MEG to examine the underlying neural dynamics in a flanker task that manipulated S-R incongruity at the stimulus (SI) and response levels (RI). Though irrelevant, flankers evoked automatic preparation of motor plans which had to be suppressed and reversed following the target presentation on RI trials. Event-related source power estimates in beta (15–25 Hz) frequency band in the sensorimotor cortex tracked motor preparation and response in real time and revealed switching from the incorrectly-primed to the correctly-responding hemisphere. In contrast, theta oscillations (4–7 Hz) were sensitive to the levels of incongruity as the medial and ventrolateral frontal cortices were especially activated by response conflict. These two areas are key to cognitive control and their integrated contributions to response inhibition and switching were revealed by phase-locked co-oscillations. These processes were pharmacologically manipulated with a moderate alcohol beverage or a placebo administered to healthy social drinkers. Alcohol selectively decreased accuracy to response conflict. It strongly attenuated theta oscillations during decision making and partly re-sculpted relative contributions of the frontal network without affecting the motor switching process subserved by beta band. Our results indicate that motor preparation is initiated automatically even when counterproductive but that it is monitored and regulated by the prefrontal cognitive control processes under conflict. They further confirm that the regulative top-down functions are particularly vulnerable to alcohol intoxication.
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Affiliation(s)
- Lauren E. Beaton
- Department of Psychology, San Diego State University, San Diego, California, United States of America
| | - Sheeva Azma
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
| | - Ksenija Marinkovic
- Department of Psychology, San Diego State University, San Diego, California, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
- Department of Radiology, University of California, San Diego, La Jolla, California, United States of America
- * E-mail:
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24
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Papadelis C, Butler EE, Rubenstein M, Sun L, Zollei L, Nimec D, Snyder B, Grant PE. Reorganization of the somatosensory cortex in hemiplegic cerebral palsy associated with impaired sensory tracts. Neuroimage Clin 2017; 17:198-212. [PMID: 29159037 PMCID: PMC5683344 DOI: 10.1016/j.nicl.2017.10.021] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 09/27/2017] [Accepted: 10/18/2017] [Indexed: 02/08/2023]
Abstract
Functional neuroimaging studies argue that sensory deficits in hemiplegic cerebral palsy (HCP) are related to deviant somatosensory processing in the ipsilesional primary somatosensory cortex (S1). A separate body of structural neuroimaging literature argues that these deficits are due to structural damage of the ascending sensory tracts (AST). The relationship between the functional and structural integrity of the somatosensory system and the sensory performance is largely unknown in HCP. To address this relationship, we combined findings from magnetoencephalography (MEG) and probabilistic diffusion tractography (PDT) in 10 children with HCP and 13 typically developing (TD) children. With MEG, we mapped the functionally active regions in the contralateral S1 during tactile stimulation of the thumb, middle, and little fingers of both hands. Using these MEG-defined functional active regions as regions of interest for PDT, we estimated the diffusion parameters of the AST. Somatosensory function was assessed via two-point discrimination tests. Our MEG data showed: (i) an abnormal somatotopic organization in all children with HCP in either one or both of their hemispheres; (ii) longer Euclidean distances between the digit maps in the S1 of children with HCP compared to TD children; (iii) suppressed gamma responses at early latencies for both hemispheres of children with HCP; and (iv) a positive correlation between the Euclidean distances and the sensory tests for the more affected hemisphere of children with HCP. Our MEG-guided PDT data showed: (i) higher mean and radian diffusivity of the AST in children with HCP; (ii) a positive correlation between the axial diffusivity of the AST with the sensory tests for the more affected hemisphere; and (iii) a negative correlation between the gamma power change and the AD of the AST for the MA hemisphere. Our findings associate for the first time bilateral cortical functional reorganization in the S1 of HCP children with abnormalities in the structural integrity of the AST, and correlate these abnormalities with behaviorally-assessed sensory deficits.
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Affiliation(s)
- Christos Papadelis
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Erin E Butler
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA; William H. Neukom Institute for Computational Science, Dartmouth College, Hanover, NH, USA
| | - Madelyn Rubenstein
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Limin Sun
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lilla Zollei
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Donna Nimec
- Department of Orthopedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian Snyder
- Department of Orthopedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Patricia Ellen Grant
- Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
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25
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Zhang Y, Ide JS, Zhang S, Hu S, Valchev NS, Tang X, Li CSR. Distinct neural processes support post-success and post-error slowing in the stop signal task. Neuroscience 2017. [PMID: 28627420 DOI: 10.1016/j.neuroscience.2017.06.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Executive control requires behavioral adaptation to environmental contingencies. In the stop signal task (SST), participants exhibit slower go trial reaction time (RT) following a stop trial, whether or not they successfully interrupt the motor response. In previous fMRI studies, we demonstrated activation of the right-hemispheric ventrolateral prefrontal cortex, in the area of inferior frontal gyrus, pars opercularis (IFGpo) and anterior insula (AI), during post-error slowing (PES). However, in similar analyses we were not able to identify regional activities during post-success slowing (PSS). Here, we revisited this issue in a larger sample of participants (n=100) each performing the SST for 40 min during fMRI. We replicated IFGpo/AI activation to PES (p≤0.05, FWE corrected). Further, PSS engages decreased activation in a number of cortical regions including the left inferior frontal cortex (IFC; p≤0.05, FWE corrected). We employed Granger causality mapping to identify areas that provide inputs each to the right IFGpo/AI and left IFC, and computed single-trial amplitude (STA) of stop trials of these input regions as well as the STA of post-stop trials of the right IFGpo/AI and left IFC. The STAs of the right inferior precentral sulcus and supplementary motor area (SMA) and right IFGpo/AI were positively correlated and the STAs of the left SMA and left IFC were positively correlated (slope>0, p's≤0.01, one-sample t test), linking regional responses during stop success and error trials to those during PSS and PES. These findings suggest distinct neural mechanisms to support PSS and PES.
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Affiliation(s)
- Yihe Zhang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Jaime S Ide
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Sien Hu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Psychology, State University of New York, Oswego, NY, United States
| | - Nikola S Valchev
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, United States; Beijing Huilongguan Hospital, Beijing, China.
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