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Yang W, Chen T, He R, Goossens R, Huysmans T. Autonomic responses to pressure sensitivity of head, face and neck: Heart rate and skin conductance. APPLIED ERGONOMICS 2024; 114:104126. [PMID: 37639853 DOI: 10.1016/j.apergo.2023.104126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 08/09/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023]
Abstract
Subjective scales are frequently used in the design process of head-related products to assess pressure discomfort. Nevertheless, some users lack fundamental cognitive and motor abilities (e.g., paralyzed patients). Therefore, it is vital to find non-verbal measurements of pressure discomfort and pressure pain. This study gathered the autonomic response data (heart rate and skin conductance) of 30 landmarks in head, neck and face from 31 participants experiencing pressure discomfort and pressure pain. The results indicate that pressure stimulation can change heart rate (HR) and skin conductance (SC). SC can be more useful in assessing pressure discomfort than HR for specific landmarks, and SC also possesses a faster arousal rate than HR. Moreover, HR decreased in response to pressure stimulation, while SC decreased followed by an increase. In comparisons between genders, the subjective pressure discomfort threshold (PDT) and pressure pain threshold (PPT) of women were lower than those of men, but men's autonomic responses (HR and SC) were more intense. Furthermore, there was no linear correlation between subjective pressure thresholds (PDT and PPT) and autonomic response intensity. This study has significant implications for resolving ergonomic issues (pressure discomfort and pain) associated with head-related products.
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Affiliation(s)
- Wenxiu Yang
- Harbin Ergineering University Yantai Research Institute, Yantai, 264000, China; School of Design Hunan University, Taozi Road, Changsha, 410000, China.
| | - Tingshu Chen
- School of Design Hunan University, Taozi Road, Changsha, 410000, China
| | - Renke He
- School of Design Hunan University, Taozi Road, Changsha, 410000, China
| | - Richard Goossens
- The Faculty of Industrial Design Engineering, Delft University of Technology, 2628CE, Delft, the Netherlands
| | - Toon Huysmans
- The Faculty of Industrial Design Engineering, Delft University of Technology, 2628CE, Delft, the Netherlands
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Schwarz KG, Vicencio SC, Inestrosa NC, Villaseca P, Del Rio R. Autonomic nervous system dysfunction throughout menopausal transition: A potential mechanism underpinning cardiovascular and cognitive alterations during female ageing. J Physiol 2024; 602:263-280. [PMID: 38064358 DOI: 10.1113/jp285126] [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: 08/02/2023] [Accepted: 11/24/2023] [Indexed: 01/16/2024] Open
Abstract
Cardiovascular diseases (CVD) and neurodegenerative disorders, such as Alzheimer's disease (AD), are highly prevalent conditions in middle-aged women that severely impair quality of life. Recent evidence suggests the existence of an intimate cross-talk between the heart and the brain, resulting from a complex network of neurohumoral circuits. From a pathophysiological perspective, the higher prevalence of AD in women may be explained, at least in part, by sex-related differences in the incidence/prevalence of CVD. Notably, the autonomic nervous system, the main heart-brain axis physiological orchestrator, has been suggested to play a role in the incidence of adverse cardiovascular events in middle-aged women because of decreases in oestrogen-related signalling during transition into menopause. Despite its overt relevance for public health, this hypothesis has not been thoroughly tested. Accordingly, in this review, we aim to provide up to date evidence supporting how changes in circulating oestrogen levels during transition to menopause may trigger autonomic dysfunction, thus promoting cardiovascular and cognitive decline in women. A main focus on the effects of oestrogen-mediated signalling at CNS structures related to autonomic regulation is provided, particularly on the role of oestrogens in sympathoexcitation. Improving the understanding of the contribution of the autonomic nervous system on the development, maintenance and/or progression of both cardiovascular and cognitive dysfunction during the transition to menopause should help improve the clinical management of elderly women, with the outcome being an improved life quality during the natural ageing process.
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Affiliation(s)
- Karla G Schwarz
- Laboratory of Cardiorespiratory Control, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Sinay C Vicencio
- Laboratory of Cardiorespiratory Control, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Nibaldo C Inestrosa
- Centro de Excelencia en Biomedicina de Magallanes (CEBIMA), Universidad de Magallanes, Punta Arenas, Chile
| | - Paulina Villaseca
- Centro de Excelencia en Biomedicina de Magallanes (CEBIMA), Universidad de Magallanes, Punta Arenas, Chile
| | - Rodrigo Del Rio
- Laboratory of Cardiorespiratory Control, Pontificia Universidad Católica de Chile, Santiago, Chile
- Centro de Excelencia en Biomedicina de Magallanes (CEBIMA), Universidad de Magallanes, Punta Arenas, Chile
- Department of Cell Biology and Physiology, School of Medicine, University of Kansas Medical Center, Kansas City, KS, USA
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3
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Kulkarni AP, Hwang G, Cook CJ, Mohanty R, Guliani A, Nair VA, Bendlin BB, Meyerand E, Prabhakaran V. Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study. Hum Brain Mapp 2023; 44:5238-5293. [PMID: 36537283 PMCID: PMC10543121 DOI: 10.1002/hbm.25947] [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: 03/18/2021] [Revised: 04/16/2022] [Accepted: 04/19/2022] [Indexed: 09/07/2023] Open
Abstract
We propose a unique, minimal assumption, approach based on variance analyses (compared with standard approaches) to investigate genetic influence on individual differences on the functional connectivity of the brain using 65 monozygotic and 65 dizygotic healthy young adult twin pairs' low-frequency oscillation resting state functional Magnetic Resonance Imaging (fMRI) data from the Human Connectome Project. Overall, we found high number of genetically-influenced functional (GIF) connections involving posterior to posterior brain regions (occipital/temporal/parietal) implicated in low-level processes such as vision, perception, motion, categorization, dorsal/ventral stream visuospatial, and long-term memory processes, as well as high number across midline brain regions (cingulate) implicated in attentional processes, and emotional responses to pain. We found low number of GIF connections involving anterior to anterior/posterior brain regions (frontofrontal > frontoparietal, frontotemporal, frontooccipital) implicated in high-level processes such as working memory, reasoning, emotional judgment, language, and action planning. We found very low number of GIF connections involving subcortical/noncortical networks such as basal ganglia, thalamus, brainstem, and cerebellum. In terms of sex-specific individual differences, individual differences in males were more genetically influenced while individual differences in females were more environmentally influenced in terms of the interplay of interactions of Task positive networks (brain regions involved in various task-oriented processes and attending to and interacting with environment), extended Default Mode Network (a central brain hub for various processes such as internal monitoring, rumination, and evaluation of self and others), primary sensorimotor systems (vision, audition, somatosensory, and motor systems), and subcortical/noncortical networks. There were >8.5-19.1 times more GIF connections in males than females. These preliminary (young adult cohort-specific) findings suggest that individual differences in the resting state brain may be more genetically influenced in males and more environmentally influenced in females; furthermore, standard approaches may suggest that it is more substantially nonadditive genetics, rather than additive genetics, which contribute to the differences in sex-specific individual differences based on this young adult (male and female) specific cohort. Finally, considering the preliminary cohort-specific results, based on standard approaches, environmental influences on individual differences may be substantially greater than that of genetics, for either sex, frontally and brain-wide. [Correction added on 10 May 2023, after first online publication: added: functional Magnetic Resonance Imaging. Added: individual differences in, twice. Added statement between furthermore … based on standard approaches.].
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Affiliation(s)
- Arman P. Kulkarni
- Department of Biomedical EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Gyujoon Hwang
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Cole J. Cook
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Rosaleena Mohanty
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Akhil Guliani
- Department of Computer ScienceUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Veena A. Nair
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Elizabeth Meyerand
- Department of Biomedical EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Vivek Prabhakaran
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Computer ScienceUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Lyu H, Zhu X, He N, Li Q, Yin Q, Huang Y, Yan F, Liu J, Lu Y. Alterations in Resting-State MR Functional Connectivity of the Central Autonomic Network in Multiple System Atrophy and Relationship with Disease Severity. J Magn Reson Imaging 2023; 58:1472-1487. [PMID: 36988420 DOI: 10.1002/jmri.28693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND The central autonomic network (CAN) plays a critical role in the body's sympathetic and parasympathetic control. However, functional connectivity (FC) changes of the CAN in patients with multiple system atrophy (MSA) remain unknown. PURPOSE To investigate FC alterations of CAN in MSA patients. STUDY TYPE Prospective. POPULATION Eighty-two subjects (47 patients with MSA [44.7% female, 60.5 ± 6.9 years], 35 age- and sex-matched healthy controls [HC] [57.1% female, 62.5 ± 6.6 years]). FIELD STRENGTH/SEQUENCE 3-T, resting-state functional magnetic resonance imaging (rs-fMRI) using gradient echo-planar imaging (EPI), T1-weighted three-dimensional magnetization-prepared rapid gradient echo (3D MPRAGE) structural MRI. ASSESSMENT FC alterations were explored by using core modulatory regions of CAN as seeds, including midcingulate cortex, insula, amygdala, and ventromedial prefrontal cortex. Bartlett factor score (BFS) derived from a factor analysis of clinical assessments on disease severity was used as a grouping factor for moderate MSA (mMSA: BFS < 0) and severe MSA (sMSA: BFS > 0). STATISTICAL TESTS For FC analysis, the one-way ANCOVA with cluster-level family-wise error correction (statistical significance level of P < 0.025), and post hoc t-testing with Bonferroni correction or Tamhane's T2 correction (statistical significance level of adjusted-P < 0.05) were adopted. Correlation was assessed using Pearson correlation or Spearman correlation (statistical significance level of P < 0.05). RESULTS Compared with HC, patients with MSA exhibited significant FC aberrances between the CAN and brain areas of sensorimotor control, limbic network, putamen, and cerebellum. For MSA patients, most FC alterations of CAN, especially concerning FC between the right anterior insula and right primary sensorimotor cortices, were found to be significantly correlated with disease severity. FC changes were found to be more significant in sMSA group than in mMSA group when compared with HCs. DATA CONCLUSION MSA shows widespread FC changes of CAN, suggesting that abnormal functional integration of CAN may be involved in disease pathogenesis of MSA. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Haiying Lyu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xue Zhu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Li
- MR Collaborations, Siemens Healthineers Ltd., Shanghai, China
| | - Qianyi Yin
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufei Huang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Liu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Lu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zwir I, Arnedo J, Mesa A, Del Val C, de Erausquin GA, Cloninger CR. Temperament & Character account for brain functional connectivity at rest: A diathesis-stress model of functional dysregulation in psychosis. Mol Psychiatry 2023; 28:2238-2253. [PMID: 37015979 PMCID: PMC10611583 DOI: 10.1038/s41380-023-02039-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 03/11/2023] [Accepted: 03/15/2023] [Indexed: 04/06/2023]
Abstract
The human brain's resting-state functional connectivity (rsFC) provides stable trait-like measures of differences in the perceptual, cognitive, emotional, and social functioning of individuals. The rsFC of the prefrontal cortex is hypothesized to mediate a person's rational self-government, as is also measured by personality, so we tested whether its connectivity networks account for vulnerability to psychosis and related personality configurations. Young adults were recruited as outpatients or controls from the same communities around psychiatric clinics. Healthy controls (n = 30) and clinically stable outpatients with bipolar disorder (n = 35) or schizophrenia (n = 27) were diagnosed by structured interviews, and then were assessed with standardized protocols of the Human Connectome Project. Data-driven clustering identified five groups of patients with distinct patterns of rsFC regardless of diagnosis. These groups were distinguished by rsFC networks that regulate specific biopsychosocial aspects of psychosis: sensory hypersensitivity, negative emotional balance, impaired attentional control, avolition, and social mistrust. The rsFc group differences were validated by independent measures of white matter microstructure, personality, and clinical features not used to identify the subjects. We confirmed that each connectivity group was organized by differential collaborative interactions among six prefrontal and eight other automatically-coactivated networks. The temperament and character traits of the members of these groups strongly accounted for the differences in rsFC between groups, indicating that configurations of rsFC are internal representations of personality organization. These representations involve weakly self-regulated emotional drives of fear, irrational desire, and mistrust, which predispose to psychopathology. However, stable outpatients with different diagnoses (bipolar or schizophrenic psychoses) were highly similar in rsFC and personality. This supports a diathesis-stress model in which different complex adaptive systems regulate predisposition (which is similar in stable outpatients despite diagnosis) and stress-induced clinical dysfunction (which differs by diagnosis).
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Affiliation(s)
- Igor Zwir
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
- University of Granada, Department of Computer Science, Granada, Spain
- University of Texas, Rio Grande Valley School of Medicine, Institute of Neuroscience, Harlingen, TX, USA
| | - Javier Arnedo
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
- University of Granada, Department of Computer Science, Granada, Spain
| | - Alberto Mesa
- University of Granada, Department of Computer Science, Granada, Spain
| | - Coral Del Val
- University of Granada, Department of Computer Science, Granada, Spain
| | - Gabriel A de Erausquin
- University of Texas, Long School of Medicine, Department of Neurology, San Antonio, TX, USA
- Laboratory of Brain Development, Modulation and Repair, Glenn Biggs Institute of Alzheimer's & Neurodegenerative Disorders, San Antonio, TX, USA
| | - C Robert Cloninger
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
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6
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Pinto AM, Luís M, Geenen R, Palavra F, Lumley MA, Ablin JN, Amris K, Branco J, Buskila D, Castelhano J, Castelo-Branco M, Crofford LJ, Fitzcharles MA, Häuser W, Kosek E, López-Solà M, Mease P, Marques TR, Jacobs JWG, Castilho P, da Silva JAP. Neurophysiological and Psychosocial Mechanisms of Fibromyalgia: A Comprehensive Review and Call for An Integrative Model. Neurosci Biobehav Rev 2023:105235. [PMID: 37207842 DOI: 10.1016/j.neubiorev.2023.105235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 05/07/2023] [Accepted: 05/14/2023] [Indexed: 05/21/2023]
Abstract
Research into the neurobiological and psychosocial mechanisms involved in fibromyalgia has progressed remarkably in recent years. Despite this, current accounts of fibromyalgia fail to capture the complex, dynamic, and mutual crosstalk between neurophysiological and psychosocial domains. We conducted a comprehensive review of the existing literature in order to: a) synthesize current knowledge on fibromyalgia; b) explore and highlight multi-level links and pathways between different systems; and c) build bridges connecting disparate perspectives. An extensive panel of international experts in neurophysiological and psychosocial aspects of fibromyalgia discussed the collected evidence and progressively refined and conceptualized its interpretation. This work constitutes an essential step towards the development of a model capable of integrating the main factors implicated in fibromyalgia into a single, unified construct which appears indispensable to foster the understanding, assessment, and intervention for fibromyalgia.
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Affiliation(s)
- Ana Margarida Pinto
- University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Educational Sciences, Rua do Colégio Novo, s/n, 3000-115 Coimbra, Portugal; University of Coimbra, University Clinic of Rheumatology, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal; University of Coimbra, Psychological Medicine Institute, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal.
| | - Mariana Luís
- Rheumatology Department, Coimbra Hospital and University Centre, Praceta Mota Pinto, 3004-561 Coimbra, Portugal.
| | - Rinie Geenen
- Department of Psychology, Utrecht University, Martinus J. Langeveldgebouw, Heidelberglaan 1, 3584 CS Utrecht, the Netherlands; Altrecht Psychosomatic Medicine Eikenboom, Vrijbaan 2, 3705 WC Zeist, the Netherlands.
| | - Filipe Palavra
- Centre for Child Development, Neuropediatric Unit. Pediatric Hospital, Coimbra Hospital and University Centre, Avenida Afonso Romão, 3000-602 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (i.CBR), Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal.
| | - Mark A Lumley
- Department of Psychology, Wayne State University, 5057 Woodward Ave., Suite 7908, Detroit, MI 48202, USA.
| | - Jacob N Ablin
- Internal Medicine H, Tel-Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Sackler School of Medicine, Tel Aviv University, Ramat Aviv 69978, Israel.
| | - Kirstine Amris
- The Parker Institute, Department of Rheumatology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Nordre Fasanvej 57, 2000 Frederiksberg, Denmark.
| | - Jaime Branco
- Rheumatology Department, Egas Moniz Hospital - Lisboa Ocidental Hospital Centre (CHLO-EPE), R. da Junqueira 126, 1349-019 Lisbon, Portugal; Comprehensive Health Research Center (CHRC), Chronic Diseases Research Centre (CEDOC), NOVA Medical School, NOVA University Lisbon (NMS/UNL), Campo Mártires da Pátria 130, 1169-056 Lisbon, Portugal.
| | - Dan Buskila
- Ben Gurion University of the Negev Beer-Sheba, Israel.
| | - João Castelhano
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), ICNAS, Edifício do ICNAS, Polo 3, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal, Portugal.
| | - Miguel Castelo-Branco
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), ICNAS, Edifício do ICNAS, Polo 3, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal, Portugal.
| | - Leslie J Crofford
- Division of Rheumatology and Immunology, Department of Medicine, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, USA.
| | - Mary-Ann Fitzcharles
- Division of Rheumatology, Department of Medicine, McGill University, 1650 Cedar Ave, Montreal, Quebec, Canada, H3G 1A4.
| | - Winfried Häuser
- Department Psychosomatic Medicine and Psychotherapy, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany.
| | - Eva Kosek
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm 171 77, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Marina López-Solà
- Serra Hunter Programme, Department of Medicine and Health Sciences, University of Barcelona.
| | - Philip Mease
- Swedish Medical Center/Providence St. Joseph Health, Seattle, WA, USA; University of Washington School of Medicine, Seattle, WA, USA.
| | - Tiago Reis Marques
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith Hospital, Imperial College London, South Kensington, London SW7 2BU, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, Strand, London WC2R 2LS, UK.
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
| | - Paula Castilho
- University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Educational Sciences, Rua do Colégio Novo, s/n, 3000-115 Coimbra, Portugal.
| | - José A P da Silva
- University of Coimbra, University Clinic of Rheumatology, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal; Rheumatology Department, Coimbra Hospital and University Centre, Praceta Mota Pinto, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (i.CBR), Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal
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Chen YH, Chang CY, Yen NS, Tsai SY. Brain plasticity of structural connectivity networks and topological properties in baseball players with different levels of expertise. Brain Cogn 2023; 166:105943. [PMID: 36621186 DOI: 10.1016/j.bandc.2022.105943] [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: 06/29/2022] [Revised: 12/06/2022] [Accepted: 12/28/2022] [Indexed: 01/09/2023]
Abstract
Brain plasticity in structural connectivity networks along the development of expertise has remained largely unknown. To address this, we recruited individuals with three different levels of baseball-playing experience: skilled batters (SB), intermediate batters (IB), and healthy controls (HC). We constructed their structural connectivity networks using diffusion tractography and compared their region-to-region structural connections and the topological characteristics of the constructed networks using graph-theoretical analysis. The group differences were detected in 35 connections predominantly involving sensorimotor and visual systems; the intergroup changes could be depicted either in a stepwise (HC < / = IB < / = SB) or a U-/inverted U-shaped manner as experience increased (IB < SB and/or HC, or opposite). All groups showed small-world topology in their constructed networks, but SB had increased global and local network efficiency than IB and/or HC. Furthermore, although the number and cortical regions identified as hubs of the networks in the three groups were highly similar, SB exhibited higher nodal global efficiency in both the dorsolateral and medial parts of the bilateral superior frontal gyri than IB. Our findings add new evidence of topological reorganization in brain networks associated with sensorimotor experience in sports. Interestingly, these changes do not necessarily increase as a function of experience as previously suggested in literature.
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Affiliation(s)
- Yin-Hua Chen
- Graduate Institute of Athletics and Coaching Science, National Taiwan Sport University, No. 250, Wenhua 1st Rd, Guishan, Taoyuan 33301, Taiwan
| | - Chih-Yen Chang
- Department of Physical Education, National Taiwan Normal University, 162, Sec. 1, Heping E. Rd, Taipei 10610, Taiwan
| | - Nai-Shing Yen
- Research Center for Mind, Brain, and Learning, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan; Department of Psychology, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan.
| | - Shang-Yueh Tsai
- Research Center for Mind, Brain, and Learning, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan; Graduate Institute of Applied Physics, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan.
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8
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Matusik PS, Zhong C, Matusik PT, Alomar O, Stein PK. Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review. J Clin Med 2023; 12:jcm12031016. [PMID: 36769662 PMCID: PMC9917610 DOI: 10.3390/jcm12031016] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 02/03/2023] Open
Abstract
Direct and indirect links between brain regions and cardiac function have been reported. We performed a systematic literature review to summarize current knowledge regarding the associations of heart rate variability (HRV) and brain region morphology, activity and connectivity involved in autonomic control at rest in healthy subjects. Both positive and negative correlations of cortical thickness and gray matter volumes of brain structures with HRV were observed. The strongest were found for a cluster located within the cingulate cortex. A decline in HRV, as well as cortical thickness with increasing age, especially in the orbitofrontal cortex were noted. When associations of region-specific brain activity with HRV were examined, HRV correlated most strongly with activity in the insula, cingulate cortex, frontal and prefrontal cortices, hippocampus, thalamus, striatum and amygdala. Furthermore, significant correlations, largely positive, between HRV and brain region connectivity (in the amygdala, cingulate cortex and prefrontal cortex) were observed. Notably, right-sided neural structures may be preferentially involved in heart rate and HRV control. However, the evidence for left hemispheric control of cardiac vagal function has also been reported. Our findings provide support for the premise that the brain and the heart are interconnected by both structural and functional networks and indicate complex multi-level interactions. Further studies of brain-heart associations promise to yield insights into their relationship to health and disease.
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Affiliation(s)
- Patrycja S. Matusik
- Department of Diagnostic Imaging, University Hospital, 30-688 Kraków, Poland
| | - Chuwen Zhong
- Center for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Paweł T. Matusik
- Department of Electrocardiology, Institute of Cardiology, Faculty of Medicine, Jagiellonian University Medical College, 31-202 Kraków, Poland
- Department of Electrocardiology, The John Paul II Hospital, 31-202 Kraków, Poland
| | - Omar Alomar
- Department of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Phyllis K. Stein
- Department of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, Saint Louis, MO 63110, USA
- Correspondence:
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Perez TM, Glue P, Adhia DB, Navid MS, Zeng J, Dillingham P, Smith M, Niazi IK, Young CK, De Ridder D. Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders. Trials 2022; 23:949. [DOI: 10.1186/s13063-022-06863-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/22/2022] [Indexed: 11/18/2022] Open
Abstract
Abstract
Background
The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time.
Methods
We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms – Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale – Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis.
Discussion
This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures.
Trial registration
Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.
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10
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Resting-state fMRI functional connectivity of the left temporal parietal junction is associated with visual temporal order threshold. Sci Rep 2022; 12:15933. [PMID: 36153359 PMCID: PMC9509386 DOI: 10.1038/s41598-022-20309-1] [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: 11/30/2021] [Accepted: 09/12/2022] [Indexed: 12/02/2022] Open
Abstract
The study aimed to determine the relationship between the millisecond timing, measured by visual temporal order threshold (TOT), i.e. a minimum gap between two successive stimuli necessary to judge a before-after relation, and resting-state fMRI functional connectivity (rsFC). We assume that the TOT reflects a relatively stable feature of local internal state networks and is associated with rsFC of the temporal parietal junction (TPJ). Sixty five healthy young adults underwent the visual TOT, fluid intelligence (Gf) and an eyes-open resting-state fMRI examination. After controlling for the influence of gender, the higher the TOT, the stronger was the left TPJ’s rsFC with the left postcentral and the right precentral gyri, bilateral putamen and the right supplementary motor area. When the effects of Gf and TOT × Gf interaction were additionally controlled, the TOT—left TPJ’s rsFC relationship survived for almost all above regions with the exception of the left and right putamen. This is the first study demonstrating that visual TOT is associated with rsFC between the areas involved both in sub-second timing and motor control. Current outcomes indicate that the local neural networks are prepared to process brief, rapidly presented, consecutive events, even in the absence of such stimulation.
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11
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Long H, Fan M, Li Q, Yang X, Huang Y, Xu X, Ma J, Xiao J, Jiang T. Structural and functional biomarkers of the insula subregions predict sex differences in aggression subscales. Hum Brain Mapp 2022; 43:2923-2935. [PMID: 35289969 PMCID: PMC9120556 DOI: 10.1002/hbm.25826] [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: 11/01/2021] [Revised: 01/22/2022] [Accepted: 02/23/2022] [Indexed: 01/01/2023] Open
Abstract
Aggression is a common and complex social behavior that is associated with violence and mental diseases. Although sex differences were observed in aggression, the neural mechanism for the effect of sex on aggression behaviors remains unclear, especially in specific subscales of aggression. In this study, we investigated the effects of sex on aggression subscales, gray matter volume (GMV), and functional connectivity (FC) of each insula subregion as well as the correlation of aggression subscales with GMV and FC. This study found that sex significantly influenced (a) physical aggression, anger, and hostility; (b) the GMV of all insula subregions; and (c) the FC of the dorsal agranular insula (dIa), dorsal dysgranular insula (dId), and ventral dysgranular and granular insula (vId_vIg). Additionally, mediation analysis revealed that the GMV of bilateral dIa mediates the association between sex and physical aggression, and left dId–left medial orbital superior frontal gyrus FC mediates the relationship between sex and anger. These findings revealed the neural mechanism underlying the sex differences in aggression subscales and the important role of the insula in aggression differences between males and females. This finding could potentially explain sexual dimorphism in neuropsychiatric disorders and improve dysregulated aggressive behavior.
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Affiliation(s)
- Haixia Long
- College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Ming Fan
- Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou, China
| | - Qiaojun Li
- School of Information Engineering, Tianjin University of Commerce, Tianjin, China
| | - Xuhua Yang
- College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Yujiao Huang
- Zhijiang College, Zhejiang University of Technology, Hangzhou, China
| | - Xinli Xu
- College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Ji Ma
- College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Jie Xiao
- College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
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12
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Zhang R, Tam SKTS, Wong NML, Wu J, Tao J, Chen L, Lin K, Lee TMC. Aberrant functional metastability and structural connectivity are associated with rumination in individuals with major depressive disorder. Neuroimage Clin 2022; 33:102916. [PMID: 34923200 PMCID: PMC8693354 DOI: 10.1016/j.nicl.2021.102916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/30/2021] [Accepted: 12/13/2021] [Indexed: 11/23/2022]
Abstract
Higher synchrony and lower metastability in adults with higher levels of rumination. Prefrontal white matter integrity deficits are also associated with rumination. Most prominent aberrations were found in the genu of the corpus callosum. Structural connectivity as the basis between dynamic connectivity and rumination. New outlook on altered structural integrity and metastability subserving rumination.
Rumination is a repetitive and compulsive thinking focusing on oneself, and the nature and consequences of distress. It is a core characteristic in psychiatric disorders characterized by affective dysregulation, and emerging evidence suggests that rumination is associated with aberrant dynamic functional connectivity and structural connectivity. However, the underlying neural mechanisms remain poorly understood. Here, we adopted a multimodal approach and tested the hypothesis that white matter connectivity forms the basis of the implications of temporal dynamics of functional connectivity in the rumination trait. Fifty-three depressed and ruminative individuals and a control group of 47 age- and gender-matched individuals with low levels of rumination underwent resting-state fMRI and diffusion tensor imaging. We found that lower global metastability and higher global synchrony of the dynamic functional connectivity were associated with higher levels of rumination. Specifically, the altered global synchrony and global metastability mediated the association between white matter integrity of the genu of the corpus callosum to rumination. Hence, our findings offered the first line of evidence for the intricate role of (sub)optimal transition of functional brain states in the connection of structural brain connectivity in ruminative thinking.
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Affiliation(s)
- Ruibin Zhang
- Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Sammi-Kenzie T S Tam
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China
| | - Nichol M L Wong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China.
| | - Jingsong Wu
- Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jing Tao
- Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Lidian Chen
- Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Kangguang Lin
- Department of Affective Disorders, Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, China.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong, China.
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13
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Rossi A, Mikail N, Bengs S, Haider A, Treyer V, Buechel RR, Wegener S, Rauen K, Tawakol A, Bairey Merz CN, Regitz-Zagrosek V, Gebhard C. Heart-brain interactions in cardiac and brain diseases: why sex matters. Eur Heart J 2022; 43:3971-3980. [PMID: 35194633 PMCID: PMC9794190 DOI: 10.1093/eurheartj/ehac061] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/24/2022] [Accepted: 01/30/2022] [Indexed: 12/31/2022] Open
Abstract
Cardiovascular disease and brain disorders, such as depression and cognitive dysfunction, are highly prevalent conditions and are among the leading causes limiting patient's quality of life. A growing body of evidence has shown an intimate crosstalk between the heart and the brain, resulting from a complex network of several physiological and neurohumoral circuits. From a pathophysiological perspective, both organs share common risk factors, such as hypertension, diabetes, smoking or dyslipidaemia, and are similarly affected by systemic inflammation, atherosclerosis, and dysfunction of the neuroendocrine system. In addition, there is an increasing awareness that physiological interactions between the two organs play important roles in potentiating disease and that sex- and gender-related differences modify those interactions between the heart and the brain over the entire lifespan. The present review summarizes contemporary evidence of the effect of sex on heart-brain interactions and how these influence pathogenesis, clinical manifestation, and treatment responses of specific heart and brain diseases.
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Affiliation(s)
- Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland,Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Ronny Ralf Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Katrin Rauen
- Department of Geriatric Psychiatry, Psychiatric Hospital, Zurich, Switzerland,Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ahmed Tawakol
- Cardiovascular Imaging Research Center, Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - C Noel Bairey Merz
- Barbra Streisand Women's Heart Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Vera Regitz-Zagrosek
- Charité, Universitätsmedizin Berlin, Berlin, Germany,University of Zurich, Zurich, Switzerland
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14
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High-Level Executive Functions: A Possible Role of Sex and Weight Condition in Planning and Decision-Making Performances. Brain Sci 2022; 12:brainsci12020149. [PMID: 35203913 PMCID: PMC8869997 DOI: 10.3390/brainsci12020149] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 02/06/2023] Open
Abstract
Evidence indicates an association between executive functioning and increased weight, with different patterns ascribed to individual differences (sex, age, lifestyles). This study reports on the relationship between high-level executive functions and body weight. Sixty-five young adults participated in the study: 29 participants (14 males, 15 females) in the normal weight range; 36 participants (18 males, 18 females) in the overweight range. The Iowa Gambling Task (IGT) and Tower of London Task were administered to assess decision making and planning. Planning did not differ in individuals in the normal-weight and overweight groups, and no difference emerged between females and males. However, normal and overweight males and females had different patterns in decision making. On the long-term consequences index of the IGT, females reported lower scores than males. Males in the overweight range had a lower long-term consequences index on the IGT than normal-weight males, while this pattern did not emerge in females. These findings suggest that decision-making responses may differ in the overweight relative to healthy weight condition, with a different expression in males and females. This pattern should be considered in weight loss prevention strategies, possibly adopting different approaches in males and females.
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15
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Schultz JL, Heinzerling AE, Brinker AN, Harshman LA, Magnotta VA, Kamholz JA, Boes AD, Nopoulos PC. Autonomic changes in Huntington's disease correlate with altered central autonomic network connectivity. Brain Commun 2022; 4:fcac253. [PMID: 36324870 PMCID: PMC9617256 DOI: 10.1093/braincomms/fcac253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/20/2022] [Accepted: 10/06/2022] [Indexed: 01/24/2023] Open
Abstract
Autonomic dysfunction has been described in patients with Huntington's disease, but it is unclear if these changes in autonomic tone are related to the central autonomic network. We performed a pilot study to investigate the relationship between the integrity of the central autonomic network and peripheral manifestiations of autonomic dysfunction in premanifest Huntington's disease. We recruited male participants with pre-motor-manifest Huntington's disease and a comparison group consisting of healthy, male participants of approximately the same age. As this was a pilot study, only males were included to reduce confounding. Participants underwent a resting-state functional magnetic resonance imaging study to quantify functional connectivity within the central autonomic network, as well as a resting 3-lead ECG to measure heart rate variability with a particular focus on the parasympathetic time-domain measures of root mean square of successive differences between normal heartbeats. The pre-motor-manifest Huntington's disease participants had significantly decreased root mean square of successive differences between normal heartbeats values compared with the healthy comparison group. The pre-motor-manifest Huntington's disease group had significantly lower functional connectivity within the central autonomic network, which was positively correlated with root mean square of successive differences between normal heartbeats. Patients with pre-motor-manifest Huntington's disease have reduced functional connectivity within the central autonomic network, which is significantly associated with observed changes in autonomic function.
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Affiliation(s)
- Jordan L Schultz
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA.,University of Iowa College of Pharmacy, Department of Pharmacy Practice and Sciences, Iowa City, IA, USA
| | - Amanda E Heinzerling
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
| | - Alivia N Brinker
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
| | - Lyndsay A Harshman
- University of Iowa Carver College of Medicine, Department of Pediatrics, Iowa City, IA, USA
| | - Vincent A Magnotta
- University of Iowa College of Medicine, Department of Radiology, Iowa City, IA, USA
| | - John A Kamholz
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA
| | - Aaron D Boes
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Pediatrics, Iowa City, IA, USA
| | - Peg C Nopoulos
- University of Iowa Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Neurology, Iowa City, IA, USA.,University of Iowa Carver College of Medicine, Department of Pediatrics, Iowa City, IA, USA
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16
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Knudsen LV, Gazerani P, Michel TM, Vafaee MS. The role of multimodal MRI in mild cognitive impairment and Alzheimer's disease. J Neuroimaging 2021; 32:148-157. [PMID: 34752671 DOI: 10.1111/jon.12940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/28/2021] [Accepted: 09/28/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND AND PURPOSE Mild cognitive impairment (MCI) is a prodromal stage of Alzheimer's disease (AD), where neurodegeneration is not as considerable, thereby potentially increasing the effect of treatments. Therefore, highly sensitive and specific classification of subjects with MCI is necessary, where various MRI modalities have displayed promise. METHODS Structural, diffusion, and resting-state (RS) functional MRI analyses were performed on the AD (n = 26), MCI (n = 5), and healthy control (HC) (n = 14) group. Structural analysis was performed via voxel-based morphometry (VBM) and volumetric subcortical segmentation analysis. Fractional anisotropy and mean diffusivity were estimated during the diffusion analysis. RS analysis investigated seed-based functional connectivity. Classification via support vector machine was performed to evaluate which MRI modality most accurately differentiated the groups. Multiple linear regression was conducted to evaluate the MRI modalities correlation with clinical assessment scores. RESULTS Classification of MCI and HC displayed highest accuracy based on diffusion MRI, which besides demonstrated high correlation with clinical scores. Classification was equally accurate in AD, when using VBM or diffusion tensor imaging measures. Yet, more variance was explained by VBM measures in the clinical assessment scores of the AD group. CONCLUSIONS This study highlights the potential of diffusion MRI in differentiating MCI from HC and AD. However, the results need to be interpreted with caution as sample size and artifacts in the MRI data probably influenced the results.
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Affiliation(s)
- Laust Vind Knudsen
- Research Unit for Psychiatry, Odense University Hospital, Odense, Denmark
| | - Parisa Gazerani
- Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark.,Department of Life Sciences and Health, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, 0130, Norway
| | - Tanja Maria Michel
- Research Unit for Psychiatry, Odense University Hospital, Odense, Denmark
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17
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Zhang Y, Wang Y, Chen N, Guo M, Wang X, Chen G, Li Y, Yang L, Li S, Yao Z, Hu B. Age-Associated Differences of Modules and Hubs in Brain Functional Networks. Front Aging Neurosci 2021; 12:607445. [PMID: 33536893 PMCID: PMC7848126 DOI: 10.3389/fnagi.2020.607445] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 12/21/2020] [Indexed: 01/07/2023] Open
Abstract
Healthy aging is usually accompanied by changes in the functional modular organization of the human brain, which may result in the decline of cognition and underlying brain dysfunction. However, the relationship between age-related brain functional modular structure differences and cognition remain debatable. In this study, we investigated the age-associated differences of modules and hubs from young, middle and old age groups, using resting-state fMRI data from a large cross-sectional adulthood sample. We first divided the subjects into three age groups and constructed an individual-level network for each subject. Subsequently, a module-guided group-level network construction method was applied to form a weighted network for each group from which functional modules were detected. The intra- and inter-modular connectivities were observed negatively correlated with age. According to the detected modules, we found the number of connector hubs in the young group was more than middle-age and old group, while the quantity of provincial hubs in middle-age group was discovered more than other two groups. Further ROI-wise analysis shows that different hubs have distinct age-associated trajectories of intra- and inter-modular connections, which suggests the different types of topological role transitions in functional networks across age groups. Our results indicated an inverse association between functional segregation/integration with age, which demonstrated age-associated differences in communication effeciency. This study provides a new perspective and useful information to better understand the normal aging of brain networks.
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Affiliation(s)
- Yinghui Zhang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- Guangyuan Mental Health Center, Guangyuan, China
| | - Yin Wang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Nan Chen
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Man Guo
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Xiuzhen Wang
- Guangyuan Mental Health Center, Guangyuan, China
| | | | - Yongchao Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Lin Yang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Shan Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors, Chinese Academy of Sciences, Lanzhou, China
- Engineering Research Center of Open Source Software and Real-Time System (Lanzhou University), Ministry of Education, Lanzhou, China
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18
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MacCormack JK, Stein AG, Kang J, Giovanello KS, Satpute AB, Lindquist KA. Affect in the Aging Brain: A Neuroimaging Meta-Analysis of Older Vs. Younger Adult Affective Experience and Perception. AFFECTIVE SCIENCE 2020; 1:128-154. [PMID: 36043210 PMCID: PMC9382982 DOI: 10.1007/s42761-020-00016-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 08/20/2020] [Indexed: 05/15/2023]
Abstract
We report the first functional neuroimaging meta-analysis on age-related differences in adult neural activity during affect. We identified and coded experimental contrasts from 27 studies (published 1997-2018) with 490 older adults (55-87 years, M age = 69 years) and 470 younger adults (18-39 years, M age = 24 years). Using multilevel kernel density analysis, we assessed functional brain activation contrasts for older vs. younger adult affect across in-scanner tasks (i.e., affect induction and perception). Relative to older adults, younger adults showed more reliable activation in subcortical structures (e.g., amygdala, thalamus, caudate) and in relatively more posterior aspects of specific brain structures (e.g., posterior insula, mid- and posterior cingulate). In contrast, older adults exhibited more reliable activation in the prefrontal cortex and more anterior aspects of specific brain structures (e.g., anterior insula, anterior cingulate). Meta-analytic coactivation network analyses further revealed that in younger adults, the amygdala and mid-cingulate were more central, locally efficient network nodes, whereas in older adults, regions in the superior and medial prefrontal cortex were more central, locally efficient network nodes. Collectively, these findings help characterize age differences in the brain basis of affect and provide insights for future investigations into the neural mechanisms underlying affective aging.
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Affiliation(s)
- Jennifer K. MacCormack
- Department of Psychiatry, University of Pittsburgh, 506 Old Engineering Hall, 3943 O’Hara St, Pittsburgh, PA 15213 USA
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Andrea G. Stein
- Department of Psychology, University of Wisconsin-Madison, Madison, WI USA
| | - Jian Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI USA
| | - Kelly S. Giovanello
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Ajay B. Satpute
- Department of Psychology, Northeastern University, Boston, MA USA
| | - Kristen A. Lindquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
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