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The investigation of resting-state functional connectivity in male sprinters and endurance runners brains based on fNIRS

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SCIENTIFIC REPORTS 2025年第1期15卷 1-10页

作者： Liu, Mengqi Zhao, Wenyan Yan, Xiaocong Xue, Zhenghao Qin, Ying Harbin Inst Phys Educ Expt Ctr Dev & Evaluat Sports Abil Grad Sch Harbin Heilongjiang Peoples R China Harbin Inst Phys Educ Coll Sports & Human Sci Harbin Heilongjiang Peoples R China Harbin Inst Phys Educ Inst Sports Sci Expt Ctr Dev & Evaluat Motor Abil Harbin Heilongjiang Peoples R China

Objective To investigate the impact of extended aerobic and anaerobic exercise on cerebral activity by analyzing the functional connectivity strength attributes of the cerebral cortex in endurance runners (aerobic) and sprint athletes (anaerobic) during the resting state with fNIRS. Method Thirteen sprinters and twelve endurance runners were assessed using a functional near-infrared spectroscopic imaging system to quantify resting-state functional connection strengths for HbO2, HbR, and HbT across the brain, namely in the prefrontal and primary motor cortex. Results (1) In the examination of functional connectivity of HbO2, the overall functional connection strength of the anaerobic group exceeded that of the aerobic group. In the regions of interest, the functional connection strength in the left and right prefrontal cortex of the anaerobic group surpassed that of the aerobic group. However, the functional connectivity strength in the right primary motor cortex of the aerobic group was greater than that of the anaerobic group. In comparisons between regions of interest, the functional connection strength between the left and right prefrontal cortex was greater in the anaerobic group. In contrast, the aerobic group had a more pronounced functional connectivity strength between the left and right primary motor cortex. (2) The functional connectivity study of HbR indicated that the mean whole-brain functional connection strength in the anaerobic group surpassed that of the aerobic group;however, no significant differences were seen between the two groups in intra- and inter-ROI comparisons. (3) The functional connectivity study of HbT indicated that the average brain-wide functional connection strength in the aerobic group surpassed that of the anaerobic group. In the regions of interest, the anaerobic group had greater functional connectivity strength in the right prefrontal cortex. In contrast, the aerobic group demonstrated more pronounced functional connectivity s

关键词： Aerobic exercise Anaerobic exercise resting-state functional connectivity functional near-infrared spectroscopy

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Specific alterations of resting-state functional connectivity in the triple network related to comorbid anxiety in major depressive disorder

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EUROPEAN JOURNAL OF NEUROSCIENCE 2024年第7期59卷 1819-1832页

作者： Beckmann, Fienne-Elisa Gruber, Hanna Seidenbecher, Stephanie Schirmer, Saskia Therese Metzger, Coraline D. Tozzi, Leonardo Frodl, Thomas Otto von Guericke Univ Dept Psychiat & Psychotherapy Magdeburg Germany Stanford Univ Dept Psychiat & Behav Sci Stanford CA USA Trinity Coll Dublin Dept Psychiat Dublin Ireland Univ Hosp RWTH Dept Psychiat Psychotherapy & Psychosomat Aachen Germany Otto von Guericke Univ Dept Psychiat & Psychotherapy Leipziger Str 44 D-39120 Magdeburg Germany

The brain's default mode network (DMN) and the executive control network (ECN) switch engagement are influenced by the ventral attention network (VAN). Alterations in resting-state functional connectivity (RSFC) within this so-called triple network have been demonstrated in patients with major depressive disorder (MDD) or anxiety disorders (ADs). This study investigated alterations in the RSFC in patients with comorbid MDD and ADs to better understand the pathophysiology of this prevalent group of patients. Sixty-eight participants (52.9% male, mean age 35.3 years), consisting of 25 patients with comorbid MDD and ADs (MDD + AD), 20 patients with MDD only (MDD) and 23 healthy controls (HCs) were investigated clinically and with 3T resting-state fMRI. RSFC utilizing a seed-based approach within the three networks belonging to the triple network was compared between the groups. Compared with HC, MDD + AD showed significantly reduced RSFC between the ECN and the VAN, the DMN and the VAN and within the ECN. No differences could be found for the MDD group compared with both other groups. Furthermore, symptom severity and medication status did not affect RSFC values. The results of this study show a distinct set of alterations of RSFC for patients with comorbid MDD and AD compared with HCs. This set of dysfunctions might be related to less adequate switching between the DMN and the ECN as well as poorer functioning of the ECN. This might contribute to additional difficulties in engaging and utilizing consciously controlled emotional regulation strategies. This study highlights alterations of resting-state functional connectivity within the well-established triple network model in patients with comorbid depression and anxiety disorders. The clusters found within the cingulate and paracingulate and frontal areas may play an important role in the specific symptomatology of comorbid MDD and ***

关键词： anxiety comorbidity depression resting-state functional connectivity triple network

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Altered Intra- and Inter-Network resting-state functional connectivity is Associated with Neuropsychological Functioning and Clinical Symptoms in Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder

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MOVEMENT DISORDERS 2025年第4期40卷 704-715页

作者： Roura, Ignacio Pardo, Jessica Martin-Barcelo, Cristina Oltra, Javier Campabadal, Anna Sala-Llonch, Roser Bargallo, Nuria Serradell, Monica Pont-Sunyer, Claustre Gaig, Carles Maya, Gerard Montini, Angelica Junque, Carme Iranzo, Alex Segura, Barbara Univ Barcelona Inst Neurosci Dept Med Med Psychol Unit Barcelona Spain Inst Invest Biomed August Pi & Sunyer IDIBAPS Barcelona Spain Karolinska Inst Aging Res Ctr Dept Neurobiol Care Sci & Soc Stockholm Sweden Consorci Corp Sanit Parc Tauli Sabadell Neurol Serv Barcelona Spain Univ Barcelona Inst Neurociencies Dept Biomed Barcelona Spain Ctr Invest Biomed Red Bioingn Biomat & Nanomed CIB Barcelona Spain Hosp Clin Univ Barcelona Imaging Diagnost Ctr CDI Barcelona Spain Ctr Invest Biomed Red Enfermedades Neurodegenerat Barcelona Spain Univ Barcelona Hosp Clin Univ Barcelona Neurol Serv Sleep Unit Barcelona Spain Fundacio Privada Hosp Asil Granollers Serv Neurol Unitat Trastorns Moviment Granollers Spain

BackgroundIsolated rapid-eye movement (REM) sleep behavior disorder (iRBD) is characterized by abnormal behaviors in REM sleep and is considered as a prodromal symptom of alpha-synucleinopathies. resting-state functional magnetic resonance imaging (rsfMRI) studies have unveiled altered functional connectivity (rsFC) in patients with iRBD. However, the associations between intra- and inter-network rsFC with clinical symptoms and neuropsychological functioning in iRBD remain unclear. ObjectiveTo characterize intra- and inter-network rsFC in iRBD patients using a data-driven approach and to assess its associations with clinical features and cognitive functioning. MethodsForty-two patients with iRBD and 45 healthy controls (HC) underwent rsfMRI and comprehensive neuropsychological testing. resting-state networks were characterized using independent component analyses. Group differences in intra- and inter-network rsFC and their associations with clinical and neuropsychological data were studied. A threshold of corrected P < 0.05 was used in all the analyses. ResultsiRBD patients displayed lower intra-network rsFC within basal ganglia, visual, sensorimotor, and cerebellar networks, relative to HC. Mean rsFC strength within the basal ganglia network positively correlated with processing speed and negatively with the non-motor symptoms in iRBD patients. Reduced inter-network rsFC between sensorimotor and visual medial networks was observed in iRBD patients, which was associated with global cognitive status. ConclusionsiRBD is characterized by both reductions in intra-network rsFC in cortical and subcortical networks and inter-network dysconnectivity between sensorimotor and visual networks. Abnormalities in intra- and inter-network rsFC are associated with cognitive performance and non-motor symptoms, suggesting the utility of both rsFC measures as imaging markers in prodromal alpha-synucleinopathies. (c) 2025 The Author(s). Movement Disorders published by Wiley Periodical

关键词： isolated REM sleep behavior disorder neuroimaging neuropsychology prodromal alpha-synucleinopathies resting-state functional connectivity

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Predicting the treatment outcomes of major depressive disorder interventions with baseline resting-state functional connectivity: a meta-analysis

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BMC PSYCHIATRY 2025年第1期25卷 1-23页

作者： Zhou, Yanyao Dong, Na Lei, Letian Chang, Dorita H. F. Lam, Charlene L. M. Univ Hong Kong Lab Clin Psychol & Afect Neurosci Hong Kong Peoples R China Univ Hong Kong State Key Lab Brain & Cognit Sci Hong Kong Peoples R China Univ Hong Kong Brain & Behav Lab Hong Kong Peoples R China Univ Hong Kong Dept Psychol Hong Kong Peoples R China

Background Current interventions for major depressive disorder (MDD) demonstrate limited and heterogeneous efficacy, highlighting the need for improving the precision of treatment. Although findings have been mixed, resting-state functional connectivity (rsFC) at baseline shows promise as a predictive biomarker. This meta-analysis evaluates the evidence for baseline rsFC as a predictor of treatment outcomes of MDD interventions. Method We included MDD literature published between 2012 and 2024 that used antidepressants, non-invasive brain stimulation, and cognitive behavioral therapy. Pearson correlations or their equivalents were analyzed between baseline rsFC and treatment outcome. Nodes were categorized according to the type of brain networks they belong to, and pooled coefficients were generated for rsFC connections reported by more than three studies. Result Among the 16 included studies and 892 MDD patients, data from nine studies were used to generate pooled coefficients for the rsFC connection between the frontoparietal network (FPN) and default mode network (DMN), and within the DMN (six studies each, with three overlapping studies, involving 534 and 300 patients, respectively). The rsFC between the DMN and FPN had a pooled predictability of -0.060 (p = 0.171, fixed effect model), and the rsFC within the DMN had a pooled predictability of 0.207 (p < 0.001, fixed effect model). The rsFC between the DMN and FPN and the rsFC within the DMN had a larger effect in predicting the outcome of non-invasive brain stimulation (-0.215, p < 0.001, fixed effect model) and antidepressants (0.315, p < 0.001, fixed effect model), respectively. Heterogeneity was observed in both types of rsFC, study design, sample characteristics and data analysis pipeline. Conclusion Baseline rsFC within the DMN and between the DMN and FPN demonstrated a small but differential predictive effect on the outcome of antidepressants and non-invasive brain stimulation, respectively. The small pre

关键词： Major depressive disorder resting-state functional connectivity Prediction

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Effects of Cortisol Administration on resting-state functional connectivity in Women with Depression

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PSYCHIATRY RESEARCH-NEUROIMAGING 2024年 337卷 111760-111760页

作者： Runyan, Adam Cassani, Alexis Reyna, Leah Walsh, Erin C. Hoks, Roxanne M. Birn, Rasmus M. Abercrombie, Heather C. Philippi, Carissa L. Univ Cent Missouri Dept Psychol Sci 116 West S St Warrensburg MO 64093 USA Univ Missouri St Louis Dept Psychol Sci 1 Univ Blvd St Louis MO 63121 USA Univ North Carolina Chapel Hill Sch Med Dept Psychiat CB 7167 Chapel Hill NC 27599 USA Univ Wisconsin Madison Ctr Hlth Minds 625W Washington Ave Madison WI 53703 USA Univ Wisconsin Madison Dept Psychiat 6001 Res Pk Blvd Madison WI 53719 USA

Previous resting-state functional connectivity (rsFC) research has identified several brain networks impacted by depression and cortisol, including default mode (DMN), frontoparietal (FPN), and salience networks (SN). In the present study, we examined the effects of cortisol administration on rsFC of these networks in individuals varying in depression history and severity. We collected resting-state fMRI scans and self-reported depression symptom severity for 74 women with and without a history of depression after cortisol and placebo administration using a double-blind, crossover design. We conducted seed-based rsFC analyses for DMN, FPN, and SN seeds to examine rsFC changes after cortisol vs. placebo administration in relation to depression history group and severity. Results revealed a main effect of depression group, with lower left amygdala (SN)-middle temporal gyrus connectivity in women with a history of depression. Cortisol administration increased insula (SN)-inferior frontal gyrus and superior temporal gyrus connectivity. We also found that greater depression severity was associated with increased PCC (DMN)-cerebellum connectivity after cortisol. These results did not survive Bonferroni correction for seed ROIs and should be interpreted with caution. Our findings indicate that acute cortisol elevation may normalize aberrant connectivity of DMN and SN regions, which could help inform clinical treatments for depression.

关键词： Depression Cortisol resting-state functional connectivity Default mode network Frontoparietal network Salience network

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Hair Cortisone Predicts Lower Stress-induced Salivary Cortisol Response: resting-state functional connectivity Between Salience and Limbic Networks

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NEUROSCIENCE 2023年 517卷 61-69页

作者： Ren, Yipeng Liu, Yadong Zhao, Xiaolin Hu, Weiyu Wei, Zhenni Tang, Zihan Luo, Jiahao Li, Mengyi Guo, Kaige Wu, Yan Yang, Juan Southwest Univ Fac Psychol Chongqing 400715 Peoples R China Southwest Univ Minist Educ Key Lab Cognit & Personal Chongqing Peoples R China Southeast Univ Minist Educ Key Lab Child Dev & Learning Sci Nanjing Peoples R China Southwest Univ Fac Psychol 2 Tiansheng Rd Chongqing 400715 Peoples R China

Previous studies revealed that high long-term hypothalamic-pituitaryadrenal (HPA) axis activity mea-sured by the hair cortisol concentrations predicts lower acute stress cortisol response and reported the influ-ences of hair cortisol on brain activity during acute stress exposure. However, considering that long-term HPA axis activity has a close relationship with the brain's resting-state functional connectivity (RSFC), the current study aimed to explore the role of RSFC between limbic and salience network in this relationship. Seventy-seven healthy participants underwent resting-state imaging scans before performing the acute ScanSTRESS task. Saliva samples were collected to assess the levels of acute stress salivary cortisol. Hair samples were also col-lected, and the corticosteroid concentration extracted from these samples were used as a biomarker of long-term HPA axis activity. High hair cortisone (HairE) levels predicted lower acute stress cortisol response. Moreover, high HairE levels were significantly correlated with enhanced RSFC between limbic and salience networks, while RSFC was negatively associated with acute stress cortisol response. Importantly, the RSFC between left insula and left parahippocampus mediated the association between HairE and acute cortisol stress response. Taken together, this study uncovers the important role of RSFC between salience and limbic networks in the long-term relationship between HairE and acute cortisol response and contributes to a deeper understanding of the individual differences in acute stress response.(c) 2023 IBRO. Published by Elsevier Ltd. All rights reserved.

关键词： hair cortisone salivary cortisol resting-state functional connectivity limbic network salience network

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Revealing the spatiotemporal requirements for accurate subject identification with resting-state functional connectivity: a simultaneous fNIRS-fMRI study

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NEUROPHOTONICS 2023年第1期10卷

作者： Novi, Sergio L. Carvalho, Alex C. Forti, R. M. Cendes, Fernado Yasuda, Clarissa L. Mesquita, Rickson C. Univ Estadual Campinas Gleb Wataghin Inst Phys Campinas Brazil Western Univ Dept Physiol & Pharmacol London ON Canada Univ Estadual Campinas Lab Neuroimaging Campinas Brazil Childrens Hosp Philadelphia Div Neurol Philadelphia PA USA Brazilian Inst Neurosci & Neurotechnol Campinas Brazil Univ Estadual Campinas Sch Med Sci Dept Neurol Campinas Brazil

Significance: Brain fingerprinting refers to identifying participants based on their functional patterns. Despite its success with functional magnetic resonance imaging (fMRI), brain fingerprinting with functional near-infrared spectroscopy (fNIRS) still lacks adequate validation. Aim: We investigated how fNIRS-specific acquisition features (limited spatial information and nonneural contributions) influence resting-state functional connectivity (rsFC) patterns at the intra-subject level and, therefore, brain fingerprinting. Approach: We performed multiple simultaneous fNIRS and fMRI measurements in 29 healthy participants at rest. Data were preprocessed following the best practices, including the removal of motion artifacts and global physiology. The rsFC maps were extracted with the Pearson correlation coefficient. Brain fingerprinting was tested with pairwise metrics and a simple linear classifier. Results: Our results show that average classification accuracy with fNIRS ranges from 75% to 98%, depending on the number of runs and brain regions used for classification. Under the right conditions, brain fingerprinting with fNIRS is close to the 99.9% accuracy found with fMRI. Overall, the classification accuracy is more impacted by the number of runs and the spatial coverage than the choice of the classification algorithm. Conclusions: This work provides evidence that brain fingerprinting with fNIRS is robust and reliable for extracting unique individual features at the intra-subject level once relevant spatiotemporal constraints are correctly employed. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

关键词： functional near-infrared spectroscopy brain fingerprinting functional magnetic resonance imaging subject identification resting-state functional connectivity

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Sleep mediates the effect of stressful environments on youth development of impulsivity: The moderating role of within default mode network resting-state functional connectivity

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SLEEP HEALTH 2023年第4期9卷 503-511页

作者： Zhang, Linhao Cui, Zehua Huffman, Landry Goodgame Oshri, Assaf Univ Georgia Dept Human Dev & Family Sci Athens GA 30602 USA Univ Georgia Youth Dev Inst Athens GA USA Univ Georgia Integrated Life Sci Behav & Cognit Neurosci Athens GA USA Room 208 105 Foster Rd Pound Hall Athens GA 30606 USA

Objectives: Youth raised in stressful environments are at increased risk for developing impulsive traits, which are a robust precursor of problem behaviors. Sleep may mediate the link between stress and problem behaviors as it is both sensitive to stress and essential for neurocognitive development underlying beha-vioral control during adolescence. The default mode network (DMN) is a brain network implicated in stress regulation and sleep. Yet, it is poorly understood how individual differences in resting-state DMN moderate the effect of stressful environments on impulsivity via sleep problems. Methods: Three waves of data spanning 2 years were obtained from the Adolescent Brain and Cognitive Development Study, a national longitudinal sample of 11,878 children (Mage at baseline = 10.1;47.8% fe-male). Structural equation modeling was used to test (a) the mediating role of sleep at T3 in the link between stressful environments at baseline and impulsivity at T5 and (b) the moderation of this indirect association by baseline levels of within-DMN resting-state functional connectivity. Results: Sleep problems, shorter sleep duration, and longer sleep latency significantly mediated the link between stressful environments and youth impulsivity. Youth with elevated within-DMN resting-state functional connectivity showed intensified associations between stressful environments and impulsivity via shorter sleep duration. Conclusion: Our findings suggest that sleep health can be a target for preventive intervention and thereby mitigate the link between stressful environments and increased levels of youth impulsivity. (c) 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved. All rights reserved.

关键词： Stressful environments Sleep duration Sleep latency Default mode network fMRI resting-state functional connectivity

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Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder

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PSYCHOLOGICAL MEDICINE 2023年第13期53卷 5963-5975页

作者： Ju, Yumeng Wang, Mi Liu, Jin Liu, Bangshan Yan, Danfeng Lu, Xiaowen Sun, Jinrong Dong, Qiangli Zhang, Liang Guo, Hua Zhao, Futao Liao, Mei Zhang, Li Zhang, Yan Li, Lingjiang Cent South Univ Dept Psychiat Changsha 410011 Hunan Peoples R China Cent South Univ Xiangya Hosp 2 Natl Clin Res Ctr Mental Disorders Changsha 410011 Hunan Peoples R China Cent South Univ China Natl Technol Inst Mental Disorders Hunan Technol Inst Psychiat Hunan Key Lab Psychiat & Mental HlthMental Hlth I Changsha 410011 Hunan Peoples R China Zhumadian Psychiat Hosp Zhumadian 463000 Henan Peoples R China

BackgroundTreatment non-response and recurrence are the main sources of disease burden in major depressive disorder (MDD). However, little is known about its neurobiological mechanism concerning the brain network changes accompanying pharmacotherapy. The present study investigated the changes in the intrinsic brain networks during 6-month antidepressant treatment phase associated with the treatment response and recurrence in ***-state functional magnetic resonance imaging was acquired from untreated patients with MDD and healthy controls at baseline. The patients' depressive symptoms were monitored by using the Hamilton Rating Scale for Depression (HAMD). After 6 months of antidepressant treatment, patients were re-scanned and followed up every 6 months over 2 years. Traditional statistical analysis as well as machine learning approaches were conducted to investigate the longitudinal changes in macro-scale resting-state functional network connectivity (rsFNC) strength and micro-scale resting-state functional connectivity (rsFC) associated with long-term treatment outcome in *** measures of the general linear model demonstrated a significant difference in the default mode network (DMN) rsFNC change before and after the 6-month antidepressant treatment between remitters and non-remitters. The difference in the rsFNC change over the 6-month antidepressant treatment between recurring and stable MDD was also specific to DMN. Machine learning analysis results revealed that only the DMN rsFC change successfully distinguished non-remitters from the remitters at 6 months and recurring from stable MDD during the 2-year *** findings demonstrated that the intrinsic DMN connectivity could be a unique and important target for treatment and recurrence prevention in MDD.

关键词： Antidepressant machine learning major depressive disorder (MDD) recurrence resting-state functional connectivity treatment non-response

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Dynamic and Static resting-state functional connectivity of the Amygdala and Hippocampus in Post-traumatic Stress Disorder: Results From the ENIGMA PGC PTSD Consortium

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BIOLOGICAL PSYCHIATRY 2024年第10期95卷 S70-S71页

作者： Sun, Delin Hussain, Ahmed Baird, C. Lexi Waller, Lea Huggins, Ashley Martinez, Brandy Haswell, Courtney C. Frijling, Jessie L. van Zuiden, Mirjam Koch, Saskia B. J. Nawijn, Laura Wang, Li Zhu, Ye Stein, Dan J. Ipser, Jonathan Du Plessis, Stefan van den Heuvel, Leigh Suarez-Jimenez, Benjamin Xi, Zhu Kim, Yoojean Ravid, Orren He, Xiaofu Zilcha-Mano, Sigal Lazarov, Amit Jovanovic, Tanja van Rooij, Sanne J. H. Hudson, Anna R. Mueller, Sven C. Sierk, Anika Manthey, Antje Duke Univ Med Ctr Durham VA Med Ctr Durham NC 27706 USA Charite Univ Med Berlin Berlin Germany Free Univ Berlin Berlin Germany Humboldt Univ Berlin Germany Duke Univ Duke UNC Brain Imaging & Anal Ctr Durham NC 27706 USA Univ Amsterdam Acad Med Ctr Amsterdam Netherlands Univ Amsterdam Acad Med Ctr Donders Inst Brain Cognit & Behav Amsterdam Netherlands Vrije Univ Amsterdam Amsterdam UMC Amsterdam Netherlands Chinese Acad Sci Inst Psychol Beijing Peoples R China Univ Cape Town SAMRC Neurosci Inst Rondebosch South Africa Stellenbosch Univ Stellenbosch South Africa Univ Rochester Rochester NY 14627 USA Columbia Univ NYSPI New York NY 10027 USA New York State Psychiat Inst & Hosp New York NY 10032 USA Columbia Univ New York NY 10027 USA Univ Haifa Haifa Israel Tel Aviv Univ Tel Aviv Israel Wayne State Univ Detroit MI 48202 USA Emory Univ Sch Med Atlanta GA 30322 USA Univ Ghent Ghent Belgium

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