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Parsaei M, Taebi M, Arvin A, Moghaddam HS. Brain structural and functional abnormalities in patients with tension-type headache: A systematic review of magnetic resonance imaging studies. J Neurosci Res 2024; 102:e25294. [PMID: 38284839 DOI: 10.1002/jnr.25294] [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: 08/02/2023] [Revised: 12/24/2023] [Accepted: 12/31/2023] [Indexed: 01/30/2024]
Abstract
Tension-type headache (TTH) stands as the most prevalent form of headache, yet an adequate understanding of its underlying mechanisms remains elusive. This article endeavors to comprehensively review structural and functional magnetic resonance imaging (MRI) studies investigating TTH patients, to gain valuable insights into the pathophysiology of TTH, and to explore new avenues for enhanced treatment strategies. We conducted a systematic search to identify relevant articles examining brain MRI disparities between TTH individuals and headache-free controls (HFC). Fourteen studies, encompassing 312 diagnosed TTH patients, were selected for inclusion. Among these, eight studies utilized conventional MRI, one employed diffusion tensor imaging, and five implemented various functional MRI modalities. Consistent findings across these studies revealed a notable increase in white matter hyperintensity (WMH) in TTH patients. Furthermore, the potential involvement of the specific brain areas recognized to be involved in different dimensions of pain perception including cortical regions (anterior and posterior cingulate cortex, prefrontal cortex, anterior and posterior insular cortex), subcortical regions (thalamus, caudate, putamen, and parahippocampus), cerebellum in TTH pathogenesis was identified. However, no significant association was established between TTH and intracranial abnormalities or total intracranial volume. In conclusion, these findings support the hypotheses regarding the role of central mechanisms in TTH pathophysiology and offer probable brain regions implicated in these mechanisms. Due to the scarce data on the precise role of these regions in the TTH, further preclinical and clinical investigations should be done to advance our knowledge and enhance targeted therapeutic options of TTH.
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Affiliation(s)
- Mohammadamin Parsaei
- Maternal, Fetal & Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Morvarid Taebi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Arvin
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Sanjari Moghaddam
- Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Li ML, Zhang F, Chen YY, Luo HY, Quan ZW, Wang YF, Huang LT, Wang JH. A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary headache diagnosis. Front Hum Neurosci 2023; 17:1256415. [PMID: 37746052 PMCID: PMC10513061 DOI: 10.3389/fnhum.2023.1256415] [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: 07/10/2023] [Accepted: 08/14/2023] [Indexed: 09/26/2023] Open
Abstract
Primary headache is a very common and burdensome functional headache worldwide, which can be classified as migraine, tension-type headache (TTH), trigeminal autonomic cephalalgia (TAC), and other primary headaches. Managing and treating these different categories require distinct approaches, and accurate diagnosis is crucial. Functional magnetic resonance imaging (fMRI) has become a research hotspot to explore primary headache. By examining the interrelationships between activated brain regions and improving temporal and spatial resolution, fMRI can distinguish between primary headaches and their subtypes. Currently the most commonly used is the cortical brain mapping technique, which is based on blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI). This review sheds light on the state-of-the-art advancements in data analysis based on fMRI technology for primary headaches along with their subtypes. It encompasses not only the conventional analysis methodologies employed to unravel pathophysiological mechanisms, but also deep-learning approaches that integrate these techniques with advanced statistical modeling and machine learning. The aim is to highlight cutting-edge fMRI technologies and provide new insights into the diagnosis of primary headaches.
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Affiliation(s)
- Ming-Lin Li
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Fei Zhang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yi-Yang Chen
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Department of Family Medicine, Liaoning Health Industry Group Fukuang General Hospital, Fushun, Liaoning, China
| | - Han-Yong Luo
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zi-Wei Quan
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yi-Fei Wang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Le-Tian Huang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jia-He Wang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Antunovic L, Artesani A, Viganò A, Chiti A, Santoro A, Sollini M, Morbelli SD, De Sanctis R. Imaging Correlates between Headache and Breast Cancer: An [ 18F]FDG PET Study. Cancers (Basel) 2023; 15:4147. [PMID: 37627174 PMCID: PMC10453040 DOI: 10.3390/cancers15164147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
This study aimed to examine brain metabolic patterns on [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) in breast cancer (BC), comparing patients with tension-type headache (TTH), migraine (MiG), and those without headache. Further association with BC response to neoadjuvant chemotherapy (NAC) was explored. In this prospective study, BC patients eligible for NAC performed total-body [18F]FDG PET/CT with a dedicated brain scan. A voxel-wise analysis (two-sample t-test) and a multiple regression model were used to compare brain metabolic patterns among TTH, MiG, and no-headache patients and to correlate them with clinical covariates. A single-subject analysis compared each patient's brain uptake before and after NAC with a healthy control group. Primary headache was diagnosed in 39/46 of BC patients (39% TTH and 46% MiG). TTH patients exhibited hypometabolism in specific brain regions before NAC. TTH patients with a pathological complete response (pCR) to NAC showed hypermetabolic brain regions in the anterior medial frontal cortex. The correlation between tumor uptake and brain metabolism varied before and after NAC, suggesting an inverse relationship. Additionally, the single-subject analysis revealed that hypometabolic brain regions were not present after NAC. Primary headache, especially MiG, was associated with a better response to NAC. These findings suggest complex interactions between BC, headache, and hormonal status, warranting further investigation in larger prospective cohorts.
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Affiliation(s)
- Lidija Antunovic
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
| | - Alessia Artesani
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy
| | | | - Arturo Chiti
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy
| | - Armando Santoro
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy
| | - Martina Sollini
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy
| | - Silvia D. Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy;
- Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
| | - Rita De Sanctis
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy; (L.A.); (A.A.); (A.C.); (A.S.); (R.D.S.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Italy
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