1
|
Cruyt E, De Vriendt P, De Geyter N, Van Leirsberghe J, Santens P, De Baets S, De Letter M, Vlerick P, Calders P, De Pauw R, Oostra K, Van de Velde D. The underpinning of meaningful activities by brain correlates: a systematic review. Front Psychol 2023; 14:1136754. [PMID: 37179882 PMCID: PMC10169732 DOI: 10.3389/fpsyg.2023.1136754] [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: 01/03/2023] [Accepted: 03/29/2023] [Indexed: 05/15/2023] Open
Abstract
Introduction Engaging in meaningful activities contributes to health and wellbeing. Research identifies meaningfulness by analysing retrospective and subjective data such as personal experiences in activities. Objectively measuring meaningful activities by registering the brain (fNIRS, EEG, PET, fMRI) remains poorly investigated. Methods A systematic review using PubMed, Web of Science, CINAHL, and Cochrane Library. Findings Thirty-one studies investigating the correlations between daily activities in adults, their degree of meaningfulness for the participant, and the brain areas involved, were identified. The activities could be classified according to the degree of meaningfulness, using the attributes of meaningfulness described in the literature. Eleven study activities contained all attributes, which means that these can be assumed to be meaningful for the participant. Brain areas involved in these activities were generally related to emotional and affective processing, motivation, and reward. Conclusion Although it is demonstrated that neural correlates of meaningful activities can be measured objectively by neurophysiological registration techniques, "meaning" as such has not yet been investigated explicitly. Further neurophysiological research for objective monitoring of meaningful activities is recommended.
Collapse
Affiliation(s)
- Ellen Cruyt
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| | - Patricia De Vriendt
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
- Department of Occupational Therapy, Artevelde University of Applied Sciences, Ghent, Belgium
- Mental Health Research Group, Vrije Universiteit Brussel, Brussels, Belgium
- Frailty in Ageing Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | - Nele De Geyter
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| | - Janne Van Leirsberghe
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| | - Patrick Santens
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Stijn De Baets
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
- Frailty in Ageing Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | - Miet De Letter
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| | - Peter Vlerick
- Department of Work, Organization and Society, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Patrick Calders
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| | - Robby De Pauw
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
- Lifestyle and Chronic Diseases, Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Kristine Oostra
- Department of Physical and Rehabilitation Medicine, Ghent University Hospital, Ghent, Belgium
| | - Dominique Van de Velde
- Department of Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Occupational Therapy Research Group, Physiotherapy and Speech-Language Pathology/Audiology, Ghent University, Ghent, Belgium
| |
Collapse
|
2
|
Freidel L, Li S, Choffart A, Kuebler L, Martins AF. Imaging Techniques in Pharmacological Precision Medicine. Handb Exp Pharmacol 2023; 280:213-235. [PMID: 36907970 DOI: 10.1007/164_2023_641] [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: 03/14/2023]
Abstract
Biomedical imaging is a powerful tool for medical diagnostics and personalized medicines. Examples of commonly used imaging modalities include Positron Emission Tomography (PET), Ultrasound (US), Single Photon Emission Computed Tomography (SPECT), and hybrid imaging. By combining these modalities, scientists can gain a comprehensive view and better understand physiology and pathology at the preclinical, clinical, and multiscale levels. This can aid in the accuracy of medical diagnoses and treatment decisions. Moreover, biomedical imaging allows for evaluating the metabolic, functional, and structural details of living tissues. This can be particularly useful for the early diagnosis of diseases such as cancer and for the application of personalized medicines. In the case of hybrid imaging, two or more modalities are combined to produce a high-resolution image with enhanced sensitivity and specificity. This can significantly improve the accuracy of diagnosis and offer more detailed treatment plans. In this book chapter, we showcase how continued advancements in biomedical imaging technology can potentially revolutionize medical diagnostics and personalized medicine.
Collapse
Affiliation(s)
- Lucas Freidel
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen, Germany
| | - Sixing Li
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen, Germany
| | - Anais Choffart
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen, Germany
| | - Laura Kuebler
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), Partner Site Tübingen, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - André F Martins
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany.
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen, Germany.
- German Cancer Consortium (DKTK), Partner Site Tübingen, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| |
Collapse
|
3
|
Zhang X, Jiang H, Wu S, Wang J, Zhou R, He X, Qian S, Zhao S, Zhang H, Civelek AC, Tian M. Positron Emission Tomography Molecular Imaging for Phenotyping and Management of Lymphoma. PHENOMICS (CHAM, SWITZERLAND) 2022; 2:102-118. [PMID: 36939797 PMCID: PMC9590515 DOI: 10.1007/s43657-021-00042-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 12/18/2021] [Accepted: 12/21/2021] [Indexed: 10/19/2022]
Abstract
Positron emission tomography (PET) represents molecular imaging for non-invasive phenotyping of physiological and biochemical processes in various oncological diseases. PET imaging with 18F-fluorodeoxyglucose (18F-FDG) for glucose metabolism evaluation is the standard imaging modality for the clinical management of lymphoma. One of the 18F-FDG PET applications is the detection and pre-treatment staging of lymphoma, which is highly sensitive. 18F-FDG PET is also applied during treatment to evaluate the individual chemo-sensitivity and accordingly guide the response-adapted therapy. At the end of the therapy regiment, a negative PET scan is indicative of a good prognosis in patients with advanced Hodgkin's lymphoma and diffuse large B-cell lymphoma. Thus, adjuvant radiotherapy may be alleviated. Future PET studies using non-18F-FDG radiotracers, such as 68Ga-labeled pentixafor (a cyclic pentapeptide that enables sensitive and high-contrast imaging of C-X-C motif chemokine receptor 4), 68Ga-labeled fibroblast activation protein inhibitor (FAPI) that reflects the tumor microenvironment, and 89Zr-labeled atezolizumab that targets the programmed cell death-ligand 1 (PD-L1), may complement 18F-FDG and offer essential tools to decode lymphoma phenotypes further and identify the mechanisms of lymphoma therapy.
Collapse
Affiliation(s)
- Xiaohui Zhang
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Han Jiang
- grid.411176.40000 0004 1758 0478PET-CT Center, Fujian Medical University Union Hospital, Fuzhou, 350001 Fujian China
| | - Shuang Wu
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Jing Wang
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Rui Zhou
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Xuexin He
- grid.412465.0Department of Medical Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
| | - Shufang Qian
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Shuilin Zhao
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
| | - Hong Zhang
- grid.412465.0Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XInstitute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009 Zhejiang China
- grid.13402.340000 0004 1759 700XKey Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027 Zhejiang China
- grid.13402.340000 0004 1759 700XCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, 310027 Zhejiang China
| | - Ali Cahid Civelek
- grid.469474.c0000 0000 8617 4175Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD 21287 USA
| | - Mei Tian
- grid.8547.e0000 0001 0125 2443Human Phenome Institute, Fudan University, Shanghai, 201203 China
| |
Collapse
|
4
|
Tian M, He X, Jin C, He X, Wu S, Zhou R, Zhang X, Zhang K, Gu W, Wang J, Zhang H. Transpathology: molecular imaging-based pathology. Eur J Nucl Med Mol Imaging 2021; 48:2338-2350. [PMID: 33585964 PMCID: PMC8241651 DOI: 10.1007/s00259-021-05234-1] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/01/2021] [Indexed: 12/27/2022]
Abstract
Pathology is the medical specialty concerned with the study of the disease nature and causes, playing a key role in bridging basic researches and clinical medicine. In the course of development, pathology has significantly expanded our understanding of disease, and exerted enormous impact on the management of patients. However, challenges facing pathology, the inherent invasiveness of pathological practice and the persistent concerns on the sample representativeness, constitute its limitations. Molecular imaging is a noninvasive technique to visualize, characterize, and measure biological processes at the molecular level in living subjects. With the continuous development of equipment and probes, molecular imaging has enabled an increasingly precise evaluation of pathophysiological changes. A new pathophysiology visualization system based on molecular imaging is forming and shows the great potential to reform the pathological practice. Several improvements in "trans-," including trans-scale, transparency, and translation, would be driven by this new kind of pathological practice. Pathological changes could be evaluated in a trans-scale imaging mode; tissues could be transparentized to better present the underlying pathophysiological information; and the translational processes of basic research to the clinical practice would be better facilitated. Thus, transpathology would greatly facilitate in deciphering the pathophysiological events in a multiscale perspective, and supporting the precision medicine in the future.
Collapse
Affiliation(s)
- Mei Tian
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
| | - Xuexin He
- Department of Medical Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Chentao Jin
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Xiao He
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Shuang Wu
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Kai Zhang
- Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo, Japan
| | - Weizhong Gu
- Department of Pathology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Wang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
- Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
| |
Collapse
|
5
|
Abstract
Historically, single-case studies of brain-damaged individuals have contributed substantially to our understanding of cognitive processes. However, the role of single-case cognitive neuropsychology has diminished with the proliferation of techniques that measure neural activity in humans. Instead, large-scale informatics approaches in which data are gathered from hundreds of neuroimaging studies have become popular. It has been claimed that utilizing these informatics approaches can address problems found in single imaging studies. We first discuss reasons for why cognitive neuropsychology is thought to be in decline. Next, we note how these informatics approaches, while having benefits, are not particularly suited for understanding functional architectures. We propose that the single-case cognitive neuropsychological approach, which is focused on developing models of cognitive processing, addresses several of the weaknesses inherent in informatics approaches. Furthermore, we discuss how using neural data from brain-damaged individuals provides data that can inform both cognitive and neural models of cognitive processing.
Collapse
Affiliation(s)
- Jared Medina
- Department of Psychological and Brain Sciences, University of Delaware
| | | |
Collapse
|
6
|
Vinciguerra C. Music intervention efficacy in elderly: a promising non-pharmacological approach to cognitive dysfunctions. Neurol Sci 2017; 38:933-934. [DOI: 10.1007/s10072-017-3011-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
|