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Chen Y, Xie S, Zhang L, Li D, Su H, Wang R, Ao R, Lin X, Liu Y, Zhang S, Zhai D, Sun Y, Wang S, Hu L, Dong Z, Lu X. Attentional network deficits in patients with migraine: behavioral and electrophysiological evidence. J Headache Pain 2024; 25:195. [PMID: 39528969 PMCID: PMC11552239 DOI: 10.1186/s10194-024-01905-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 11/03/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Patients with migraine often experience not only headache pain but also cognitive dysfunction, particularly in attention, which is frequently overlooked in both diagnosis and treatment. The influence of these attentional deficits on the pain-related clinical characteristics of migraine remains poorly understood, and clarifying this relationship could improve care strategies. METHODS This study included 52 patients with migraine and 34 healthy controls. We employed the Attentional Network Test for Interactions and Vigilance-Executive and Arousal Components paradigm, combined with electroencephalography, to assess attentional deficits in patients with migraine, with an emphasis on phasic alerting, orienting, executive control, executive vigilance, and arousal vigilance. An extreme gradient boosting binary classifier was trained on features showing group differences to distinguish patients with migraine from healthy controls. Moreover, an extreme gradient boosting regression model was developed to predict clinical characteristics of patients with migraine using their attentional deficit features. RESULTS For general performance, patients with migraine presented a larger inverse efficiency score, a higher prestimulus beta-band power spectral density and a lower gamma-band event-related synchronization at Cz electrode, and stronger high alpha-band activity at the primary visual cortex, compared to healthy controls. Although no behavior differences in three basic attentional networks were found, patients showed magnified N1 amplitude and prolonged latency of P2 for phasic alerting-trials as well as an increased orienting evoked-P1 amplitude. For vigilance function, improvements in the hit rate of executive vigilance-trials were exhibited in controls but not in patients. Besides, patients with migraine exhibited longer reaction time as well as larger variability in arousal vigilance-trials than controls. The binary classifier developed by such attentional deficit features achieved an F1 score of 0.762 and an accuracy of 0.779 in distinguishing patients with migraine from healthy controls. Crucially, the predicted value available from the regression model involving attentional deficit features significantly correlated with the real value for the frequency of headache. CONCLUSIONS Patients with migraine demonstrated significant attentional deficits, which can be used to differentiate migraine patients from healthy populations and to predict clinical characteristics. These findings highlight the need to address cognitive dysfunction, particularly attentional deficits, in the clinical management of migraine.
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Affiliation(s)
- Yuxin Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Xie
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Libo Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Neuroscience and Behaviour Laboratory, Italian Institute of Technology, Rome, 00161, Italy
| | - Desheng Li
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Hui Su
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Rongfei Wang
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Ran Ao
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Xiaoxue Lin
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Yingyuan Liu
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Shuhua Zhang
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Deqi Zhai
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Yin Sun
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Shuqing Wang
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Li Hu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhao Dong
- Department of Neurology, The First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China.
- School of Medicine, Nankai University, Tianjin, 300071, China.
| | - Xuejing Lu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Matoso A, Fouto AR, Esteves I, Ruiz-Tagle A, Caetano G, da Silva NA, Vilela P, Gil-Gouveia R, Nunes RG, Figueiredo P. Involvement of the cerebellum in structural connectivity enhancement in episodic migraine. J Headache Pain 2024; 25:154. [PMID: 39294590 PMCID: PMC11409624 DOI: 10.1186/s10194-024-01854-8] [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: 07/15/2024] [Accepted: 08/31/2024] [Indexed: 09/20/2024] Open
Abstract
BACKGROUND The pathophysiology of migraine remains poorly understood, yet a growing number of studies have shown structural connectivity disruptions across large-scale brain networks. Although both structural and functional changes have been found in the cerebellum of migraine patients, the cerebellum has barely been assessed in previous structural connectivity studies of migraine. Our objective is to investigate the structural connectivity of the entire brain, including the cerebellum, in individuals diagnosed with episodic migraine without aura during the interictal phase, compared with healthy controls. METHODS To that end, 14 migraine patients and 15 healthy controls were recruited (all female), and diffusion-weighted and T1-weighted MRI data were acquired. The structural connectome was estimated for each participant based on two different whole-brain parcellations, including cortical and subcortical regions as well as the cerebellum. The structural connectivity patterns, as well as global and local graph theory metrics, were compared between patients and controls, for each of the two parcellations, using network-based statistics and a generalized linear model (GLM), respectively. We also compared the number of connectome streamlines within specific white matter tracts using a GLM. RESULTS We found increased structural connectivity in migraine patients relative to healthy controls with a distinct involvement of cerebellar regions, using both parcellations. Specifically, the node degree of the posterior lobe of the cerebellum was greater in patients than in controls and patients presented a higher number of streamlines within the anterior limb of the internal capsule. Moreover, the connectomes of patients exhibited greater global efficiency and shorter characteristic path length, which correlated with the age onset of migraine. CONCLUSIONS A distinctive pattern of heightened structural connectivity and enhanced global efficiency in migraine patients compared to controls was identified, which distinctively involves the cerebellum. These findings provide evidence for increased integration within structural brain networks in migraine and underscore the significance of the cerebellum in migraine pathophysiology.
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Affiliation(s)
- Ana Matoso
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
| | - Ana R Fouto
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
| | - Inês Esteves
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
| | - Amparo Ruiz-Tagle
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
| | - Gina Caetano
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
| | | | - Pedro Vilela
- Imaging Department, Hospital da Luz, Lisbon, Portugal
| | - Raquel Gil-Gouveia
- Neurology Department, Hospital da Luz, Lisbon, Portugal
- Center for Interdisciplinary Research in Health, Universidade Católica Portuguesa, Lisbon, Portugal
| | - Rita G Nunes
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
| | - Patrícia Figueiredo
- Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal
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Herbert MS, Merritt VC, Afari N, Gasperi M. Cognitive symptoms in veterans with migraine or traumatic brain injury: A Million Veteran Program study. Headache 2024. [PMID: 39193854 DOI: 10.1111/head.14815] [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: 03/08/2024] [Revised: 05/14/2024] [Accepted: 05/22/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVE To examine the spectrum and severity of cognitive symptoms in veterans with migraine, traumatic brain injury (TBI), or both; and to evaluate the extent to which psychiatric conditions contribute to the relationship of migraine and TBI with cognitive symptoms. BACKGROUND Migraine contributes significantly to global disability, with veterans facing additional burdens due to high comorbidity of TBI and psychiatric conditions. Understanding the intersection of these conditions is crucial for improving veterans' health-care outcomes. METHODS This observational study used self-reported data from 338,217 veterans enrolled in the Million Veteran Program (MVP) to assess cognitive symptoms using the Medical Outcomes Study Cognitive Functioning Scale Revised (MOS-Cog-R) and psychiatric conditions in veterans with migraine only, TBI only, both, or neither. RESULTS Of the participants, 30,080/338,217 (8.9%) veterans reported migraine, 31,906/338,217 (9.4%) reported TBI, and 7828/338,217 (2.3%) reported both migraine and TBI. Veterans with only migraine or only TBI reported similar levels of cognitive symptoms (M = 74.19, standard deviation [SD] = 25.18; M = 73.87, SD = 24.98, respectively), which were substantially higher than veterans without these conditions (M = 62.52, SD = 27.90). Veterans with both conditions reported the most cognitive symptoms (M = 83.01, SD = 22.13) and psychiatric conditions (depression = 5041/7828 [64.4%], anxiety = 3735/7828 [47.7%], post-traumatic stress disorder = 4243/7828 [54.2%]). The association of migraine and TBI with cognitive symptoms persisted beyond the influence of psychiatric conditions (B = -2.20, standard error = -0.36, p < 0.001). CONCLUSION Veterans with migraine reported cognitive challenges analogous to veterans with TBI, indicating a need for careful attention to cognitive symptoms in veterans with migraine. Further, the associations of migraine and TBI with cognitive symptoms in veterans were not explained by psychiatric conditions. These findings encourage future research to elucidate the association between self-reported and objective cognitive symptoms and to identify factors, including environmental exposure and genetic influences, contributing to cognitive impairment to optimize the assessment and treatment of veterans with migraine.
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Affiliation(s)
- Matthew S Herbert
- VA San Diego Healthcare System, San Diego, California, USA
- VA Center of Excellence for Stress and Mental Health, San Diego, California, USA
- Department of Psychiatry, University of California, La Jolla, California, USA
| | - Victoria C Merritt
- VA San Diego Healthcare System, San Diego, California, USA
- VA Center of Excellence for Stress and Mental Health, San Diego, California, USA
- Department of Psychiatry, University of California, La Jolla, California, USA
| | - Niloofar Afari
- VA San Diego Healthcare System, San Diego, California, USA
- VA Center of Excellence for Stress and Mental Health, San Diego, California, USA
- Department of Psychiatry, University of California, La Jolla, California, USA
| | - Marianna Gasperi
- VA San Diego Healthcare System, San Diego, California, USA
- VA Center of Excellence for Stress and Mental Health, San Diego, California, USA
- Department of Psychiatry, University of California, La Jolla, California, USA
- Research Service, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Northwest Network Mental Illness, Research, Education, and Clinical Center (MIRECC), Seattle, Washington, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
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Wang J, Zhou C, Huang Z, Ji X, Cui R, Kang Y, Zhang G, Wang Y, Zhang T. Repetitive Transcranial Magnetic Stimulation-Mediated Neuroprotection in the 5xFAD Mouse Model of Alzheimer's Disease Through GABRG2 and SNAP25 Modulation. Mol Neurobiol 2024:10.1007/s12035-024-04354-7. [PMID: 39052185 DOI: 10.1007/s12035-024-04354-7] [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: 03/11/2024] [Accepted: 07/06/2024] [Indexed: 07/27/2024]
Abstract
Alzheimer's disease (AD) is a leading neurodegenerative disorder with substantial impacts on cognition and behavior. Repetitive transcranial magnetic stimulation (rTMS), a non-invasive neuromodulation technique, has been used to treat various neuropsychiatric disorders, but its efficacy in AD has not been thoroughly investigated. This study examines the neuroprotective effects of rTMS in the 5xFAD mouse model of AD, with a particular focus on its modulation of GABAergic neuronal activity via the GABRG2 and SNAP25 proteins. Transcriptomic sequencing of rTMS-treated 5xFAD mice revealed 32 genes influenced by the treatment, among which GABRG2 was identified as a critical modulatory target. Electrophysiological assessments, including whole-cell patch clamp recordings from frontal cortex neurons, demonstrated significant alterations in inhibitory synaptic currents following rTMS. Subsequent experiments involved sh-GABRG2 transduction combined with rTMS treatment (20Hz, 14 days), examining behavioral responses, GABAergic neuron functionality, cortical GABA expression, cerebrospinal fluid GABA concentrations, β-amyloid accumulation, and pro-inflammatory cytokine levels. The results indicated notable improvements in behavioral performance, enhanced functionality of GABAergic neurons, and reductions in β-amyloid deposition and neuroinflammation after rTMS treatment. Further analysis revealed that SNAP25 overexpression could counteract the negative effects of GABRG2 silencing, highlighting the crucial role of SNAP25 downstream of GABRG2 in mediating rTMS's therapeutic effects in AD. This research highlights rTMS's potential to modulate synaptic and vesicular transport mechanisms, offering a promising avenue for ameliorating symptoms of AD through neuroprotective pathways.
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Affiliation(s)
- Jinyang Wang
- Department of Neurology, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, China
| | - Chenming Zhou
- Core Facilities and Centers, Hebei Medical University, Shijiazhuang, 050017, China
| | - Zhimin Huang
- Department of Stomatology, People's Hospital, Shizhu Tujia Autonomous County, Chongqing, 409100, China
| | - Xiaoming Ji
- Laboratory of Neurobiology, Hebei Medical University, Zhongshan Donglu No.361, ShijiazhuangHebei Province, 050017, China
- Neuroscience Research Center, Hebei Medical University, Shijiazhuang, 050017, China
| | - Rui Cui
- Neuroscience Research Center, Hebei Medical University, Shijiazhuang, 050017, China
| | - Yunxiao Kang
- Laboratory of Neurobiology, Hebei Medical University, Zhongshan Donglu No.361, ShijiazhuangHebei Province, 050017, China
- Neuroscience Research Center, Hebei Medical University, Shijiazhuang, 050017, China
| | - Guoliang Zhang
- Neuroscience Research Center, Hebei Medical University, Shijiazhuang, 050017, China
| | - Yu Wang
- Laboratory of Neurobiology, Hebei Medical University, Zhongshan Donglu No.361, ShijiazhuangHebei Province, 050017, China
| | - Tianyun Zhang
- Laboratory of Neurobiology, Hebei Medical University, Zhongshan Donglu No.361, ShijiazhuangHebei Province, 050017, China.
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Chen Q, Zhang C, Wu S, He Y, Liu Y, Zheng L, Li B, Liu G, Liu L. Genetic evidence for causal association between migraine and dementia: a mendelian randomization study. BMC Med Genomics 2024; 17:180. [PMID: 38970023 PMCID: PMC11229492 DOI: 10.1186/s12920-024-01956-x] [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: 03/13/2024] [Accepted: 06/28/2024] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND There is an association between migraine and dementia, however, their causal relationship remains unclear. This study employed bidirectional two-sample Mendelian randomization (MR) to investigate the potential causal relationship between migraine and dementia and its subtypes: Alzheimer's disease (AD), vascular dementia (VaD), frontotemporal dementia (FTD), and dementia with Lewy bodies (DLB). METHODS Summary-level statistics data were obtained from publicly available genome-wide association studies (GWAS) for both migraine and five types of dementia. Single nucleotide polymorphisms (SNPs) associated with migraine and each dementia subtype were selected. MR analysis was conducted using inverse variance weighting (IVW) and weighted median (WM) methods. Sensitivity analyses included Cochran's Q test, MR pleiotropy residual sum and outlier (MR-PRESSO) analysis, the intercept of MR-Egger, and leave-one-out analysis. RESULTS Migraine showed a significant causal relationship with AD and VaD, whereas no causal relationship was observed with all-cause dementia, FTD, or DLB. Migraine may be a potential risk factor for AD (odds ratio [OR]: 1.09; 95% confidence interval [CI]: 0.02-0.14; P = 0.007), while VaD may be a potential risk factor for migraine (OR: 1.04; 95% CI: 0.02-0.06; P = 7.760E-5). Sensitivity analyses demonstrated the robustness of our findings. CONCLUSION Our study suggest that migraine may have potential causal relationships with AD and VaD. Migraine may be a risk factor for AD, and VaD may be a risk factor for migraine. Our study contributes to unraveling the comprehensive genetic associations between migraine and various types of dementia, and our findings will enhance the academic understanding of the comorbidity between migraine and dementia.
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Affiliation(s)
- Qiuyi Chen
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Chengcheng Zhang
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Shiyang Wu
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Ministry of Science and Technology, Capital Medical University, Beijing, 100069, China
| | - Yiwei He
- State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Yuhan Liu
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Libin Zheng
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Bin Li
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Guiyou Liu
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Ministry of Science and Technology, Capital Medical University, Beijing, 100069, China.
| | - Lu Liu
- Beijing Key Laboratory of Acupuncture Neuromodulation, Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
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Del Moro L, Pirovano E, Rota E. Mind the Metabolic Gap: Bridging Migraine and Alzheimer's disease through Brain Insulin Resistance. Aging Dis 2024; 15:2526-2553. [PMID: 38913047 PMCID: PMC11567252 DOI: 10.14336/ad.2024.0351] [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: 03/29/2024] [Accepted: 06/11/2024] [Indexed: 06/25/2024] Open
Abstract
Brain insulin resistance has recently been described as a metabolic abnormality of brain glucose homeostasis that has been proven to downregulate insulin receptors, both in astrocytes and neurons, triggering a reduction in glucose uptake and glycogen synthesis. This condition may generate a mismatch between brain's energy reserve and expenditure, ??mainly during high metabolic demand, which could be involved in the chronification of migraine and, in the long run, at least in certain subsets of patients, in the prodromic phase of Alzheimer's disease, along a putative metabolic physiopathological continuum. Indeed, the persistent disruption of glucose homeostasis and energy supply to neurons may eventually impair protein folding, an energy-requiring process, promoting pathological changes in Alzheimer's disease, such as amyloid-β deposition and tau hyperphosphorylation. Hopefully, the "neuroenergetic hypothesis" presented herein will provide further insight on there being a conceivable metabolic bridge between chronic migraine and Alzheimer's disease, elucidating novel potential targets for the prophylactic treatment of both diseases.
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Affiliation(s)
- Lorenzo Del Moro
- Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Research Hospital, Rozzano (MI), Italy.
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Elenamaria Pirovano
- Center for Research in Medical Pharmacology, University of Insubria, Varese, Italy.
| | - Eugenia Rota
- Neurology Unit, San Giacomo Hospital, Novi Ligure, ASL AL, Italy.
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Lu L, Ni W, Liu Y, Sun L, Li F. Anti-saccade as a tool to evaluate cognitive impairment in vestibular migraine. Front Neurol 2024; 15:1419372. [PMID: 38948136 PMCID: PMC11211558 DOI: 10.3389/fneur.2024.1419372] [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: 04/18/2024] [Accepted: 06/03/2024] [Indexed: 07/02/2024] Open
Abstract
Background Vestibular migraine (VM), an intricate subtype of migraine, amalgamates the dual attributes of migraine and vestibular disorders. In clinical settings, individuals with VM frequently articulate concerns regarding the manifestation of subjective cognitive impairment. This cognitive dysfunction is intricately linked with diminished mobility, heightened susceptibility to falls, and increased absenteeism in afflicted patients. Consequently, comprehending the features of cognitive impairment in VM patients holds potential clinical significance. The pursuit of rapid and objective methods for detection and assessment is foundational and prerequisite for efficacious cognitive management of VM patients. Methods The study encompassed 50 patients diagnosed with vestibular migraine and recruited 50 age-sex matched healthy controls. All participants underwent anti-saccade tasks, and cognitive evaluation was performed using the MMSE and MoCA to assess overall cognitive function. Additionally, RBANS scales were employed to measure specific cognitive domains. Results The VM patients and normal controls demonstrated statistical parity in terms of age, gender, education, weight, and BMI, with no significant differences observed. Analysis of cognitive scores divulged a marked increase in the incidence of Mild Cognitive Impairment (MCI) in VM patients compared to Healthy Controls (HCs). Both MMSE and MoCA scores were notably lower in VM patients compared to their healthy counterparts. The RBANS cognitive test indicated significant impairment in immediate memory, visuospatial construction, language, attention, and delayed memory among VM patients. Notably, the Trail Making Test and Stroop Color-Word Test revealed compromised processing speed and executive function cognitive domains. The anti-saccadic task highlighted significantly elevated anti-saccadic latency and frequency of direction errors in vestibular migraine patients. Symptom severity, illness duration, and episode frequency in VM patients positively correlated with counter-scanning errors and negatively correlated with cognitive performance across diverse cognitive domains. Conclusion VM patients exhibit cognitive decline across multiple cognitive domains during the interictal period. This cognitive impairment may not be fully reversible, underscoring its potential clinical significance for cognitive management in VM patients. The sensitivity of anti-saccade tasks to the cognitive status of VM patients positions them as promising objective indicators for diagnosis, intervention, and evaluation of cognitive impairment effects in VM in future applications.
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Affiliation(s)
- Lingmei Lu
- Department of Neurology, Qidong People’s Hospital/Affiliated Qidong Hospital of Nantong University, Nantong, China
| | - Wenyu Ni
- Department of Endocrinology, Qidong People’s Hospital/Affiliated Qidong Hospital of Nantong University, Nantong, China
| | - Yin Liu
- Dizziness Clinic, Jilin Provincial Academy of Chinese Medicine Sciences, Changchun, China
| | - Li Sun
- Dizziness Clinic, Jilin Provincial Academy of Chinese Medicine Sciences, Changchun, China
| | - Fei Li
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, Shanghai, China
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Su Y, Tay VQ, Singh S, Leary MC, Koss V, Kincaid HM, Yacoub HA, Castaldo J. A retrospective review of sex differences of white matter hyperintensities in brain MRI of patients with migraine. Headache 2024; 64:612-623. [PMID: 38785411 DOI: 10.1111/head.14714] [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: 08/25/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVES The primary objective of this study was to evaluate the prevalence of white matter hyperintensities (WMHs) in patients who experience migraine and compare findings between adult male and female patients. Specific symptoms and comorbidities also were analyzed to determine whether they were associated with WMH prevalence or the sex of patients with migraine. We hypothesized that females would have a higher prevalence of WMHs, experience more frequent and more severe migraine headaches, and be more likely to have certain comorbidities associated with migraine than males. BACKGROUND An increased prevalence of WMHs in patients with migraine has been proposed, although this relation is not well-supported by data from population-based MRI studies. The difference in brain morphology between males and females is of research interest, and females in the general population appear to have a higher prevalence of WMHs. Sex differences and various comorbidities in patients with migraine relative to the number of WMHs on brain imaging have not been fully investigated. METHODS This was a cross-sectional study of 177 patients aged 18 years and older with a diagnosis of migraine who were seen in the Lehigh Valley Fleming Neuroscience Institute's Headache Center between January 1, 2000, and January 1, 2017. Patients' baseline characteristics were extracted from electronic medical records, including demographics, review of systems documentation, and brain imaging from MRI. Variables including headache severity, frequency of head pain, insomnia, and comorbidities (anxiety, depression, diabetes, hyperlipidemia, hypertension, and neck pain) also were analyzed for associations with the presence of WMHs. RESULTS Females were found to have a significantly higher number of WMHs than males (median 3 [IQR: 0-7] vs. 0 [IQR: 0-3], p = 0.023). Patients with WMHs were significantly more likely than those without WMHs to have hypertension (39.8% of patients with WMHs vs. 20.3% without WMHs, p = 0.011), constipation (20.9% vs. 8.3%, p = 0.034), and sleep disorder (55.7% vs. 37.3%, p = 0.022). Females with migraine were significantly more likely to experience constipation than males (20.0% vs. 2.9%, p = 0.015). None of the migraine characteristics studied (frequency, severity, presence of aura) were different between sexes, nor were they significantly associated with the presence of WMHs. CONCLUSION This study suggests that females with migraine may be more likely to have WMHs and experience constipation than males with migraine. Migraine frequency and severity were not different between sexes, nor were they significantly associated with the presence of WMHs. The findings of this study do not support a specific etiology of WMH development in individuals with migraine that differs from findings in the general population. Further studies are warranted.
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Affiliation(s)
- Ye Su
- Department of Neurology, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
| | - Victoria Q Tay
- Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Satinderpal Singh
- Department of Neurology, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
| | - Megan C Leary
- Department of Neurology, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
- Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Vitaliy Koss
- Department of Neurology, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
- Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Hope M Kincaid
- Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
- Network Office of Research and Innovation, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
| | - Hussam A Yacoub
- Department of Neurology, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
- Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
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Cermelli A, Roveta F, Giorgis L, Boschi S, Grassini A, Ferrandes F, Lombardo C, Marcinnò A, Rubino E, Rainero I. Is headache a risk factor for dementia? A systematic review and meta-analysis. Neurol Sci 2024; 45:1017-1030. [PMID: 37721571 PMCID: PMC10858119 DOI: 10.1007/s10072-023-07069-0] [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: 04/11/2023] [Accepted: 09/09/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVE In this systematic review and meta-analysis, we critically evaluate available evidence regarding the association between primary headaches and subsequent decline of cognitive function and dementia. BACKGROUND Recent studies suggested that headache disorders may increase the risk for dementia. However, available studies are conflicting. METHODS To identify qualifying studies, we searched scientific databases, including Pubmed, Scopus, Web of Science, Science Direct and BMC, screening for relevant papers. In order to reduce the heterogeneity between different studies, the analyses were further subdivided according to the clinical diagnoses and the study methodologies. RESULTS We identified 23 studies investigating the association between primary headaches and the risk of dementia. Of these, 18 met our inclusion criteria for meta-analysis (covering 924.140 individuals). Overall effect-size shows that primary headaches were associated with a small increase in dementia risk (OR = 1,15; CI 95%: 1,03-1,28; p = 0,02). Analyzing subgroups, we found that migraine was associated with both a moderate increased risk of all-cause dementia (OR = 1,26; p = 0,00; 95% CI: 1,13-1,40) as well as a moderate increased risk of Alzheimer's disease (OR = 2,00; p = 0,00; 95% CI: 1,46-2,75). This association was significant in both case-control and retrospective cohort studies but not in prospective studies. CONCLUSIONS Our study supports the presence of a link between primary headaches and dementia. However, in the subgroup analysis, only patients with migraine showed a moderate increase risk for all-cause dementia and for Alzheimer's disease. Additional rigorous studies are needed to elucidate the possible role of primary headaches on the risk of developing cognitive impairment and dementia.
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Affiliation(s)
- Aurora Cermelli
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Fausto Roveta
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Lia Giorgis
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Silvia Boschi
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Alberto Grassini
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Fabio Ferrandes
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Chiara Lombardo
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Andrea Marcinnò
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Elisa Rubino
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
- Department of Neuroscience and Mental Health, Città della Salute e della Scienza, Corso Bramante 88, Turin, Italy
| | - Innocenzo Rainero
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy.
- Department of Neuroscience and Mental Health, Città della Salute e della Scienza, Corso Bramante 88, Turin, Italy.
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Pizer JH, Aita SL, Myers MA, Hawley NA, Ikonomou VC, Brasil KM, Hernandez KA, Pettway EC, Owen T, Borgogna NC, Smitherman TA, Hill BD. Neuropsychological Function in Migraine Headaches: An Expanded Comprehensive Multidomain Meta-Analysis. Neurology 2024; 102:e208109. [PMID: 38252898 DOI: 10.1212/wnl.0000000000208109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 11/07/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES A sizable literature has studied neuropsychologic function in persons with migraine (PwM), but despite this, few quantitative syntheses exist. These focused on circumscribed areas of the literature. In this study, we conducted an expanded comprehensive meta-analysis comparing performance on clinical measures of neuropsychological function both within and across domains, between samples of PwM and healthy controls (HCs). METHODS For this Meta-analyses Of Observational Studies in Epidemiology-compliant meta-analysis, a unified search strategy was applied to OneSearch (a comprehensive collection of electronic databases) to identify peer-reviewed original research published across all years up until August 1, 2023. Using random-effects modeling, we examined aggregated effect sizes (Hedges' g), between-study heterogeneity (Cochran Q and I2), moderating variables (meta-regression and subgroup analyses), and publication bias (Egger regression intercept and Duval and Tweedie Trim-and-Fill procedure). Study bias was also coded using the NIH Study Quality Assessment Tools. RESULTS Omnibus meta-analysis from the 58 studies included (PwM n = 5,452, HC n = 16,647; 612 effect sizes extracted) indicated lower overall cognitive performance in PwM vs HCs (g = -0.37; 95% CI -0.47 to -0.28; p < 0.001), and high between-study heterogeneity (Q = 311.25, I2 = 81.69). Significant domain-specific negative effects were observed in global cognition (g = -0.46, p < 0.001), executive function (g = -0.45, p < 0.001), processing speed (g = -0.42, p < 0.001), visuospatial/construction (g = -0.39, p = 0.006), simple/complex attention (g = -0.38, p < 0.001), learning/memory (g = -0.25, p < 0.001), and language (g = -0.24, p < 0.001). Orientation (p = 0.146), motor (p = 0.102), and intelligence (p = 0.899) were not significant. Moderator analyses indicated that age (particularly younger HCs), samples drawn from health care facility settings (e.g., tertiary headache centers) vs community-based populations, and higher attack duration were associated with larger (negative) effects and accounted for a significant proportion of between-study heterogeneity in effects. Notably, PwM without aura yielded stronger (negative) effects (omnibus g = -0.37) vs those with aura (omnibus g = -0.10), though aura status did not account for heterogeneity observed between studies. DISCUSSION Relative to HCs, PwM demonstrate worse neurocognition, as detected by neuropsychological tests, especially on cognitive screeners and tests within executive functioning and processing speed domains. Effects were generally small to moderate in magnitude and evident only in clinic (vs community) samples. Aura was not meaningfully associated with neurocognitive impairment.
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Affiliation(s)
- Jasmin H Pizer
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Stephen L Aita
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Melissa A Myers
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Nanako A Hawley
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Vasilios C Ikonomou
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Kyle M Brasil
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Katherine A Hernandez
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Erika C Pettway
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Tyler Owen
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Nicholas C Borgogna
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Todd A Smitherman
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
| | - Benjamin D Hill
- From the Department of Psychology (J.H.P., M.A.M., N.A.H., V.C.I., K.M.B., K.A.H., B.D.H.), University of South Alabama, Mobile; Department of Mental Health (S.L.A.), VA Maine Healthcare System, Augusta; Department of Psychology (S.L.A.), University of Maine, Orono; Department of Neuroscience (K.A.H.), Ochsner Health Center, Baton Rouge, LA; Alzheimer's Disease Research Center (E.C.P.), Boston University, MA; Department of Psychological Science (T.O., N.C.B.), Texas Tech University, Lubbock; and Department of Psychology (T.A.S.), University of Mississippi, Oxford
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11
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Wang L, Dai C, Gao M, Geng Z, Hu P, Wu X, Wang K. Patients with episodic migraine without aura have an increased rate of delayed discounting. Brain Behav 2024; 14:e3367. [PMID: 38376010 PMCID: PMC10761331 DOI: 10.1002/brb3.3367] [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: 08/01/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE This study aimed to explore decision-making impulsivity and its neural mechanisms in patients with episodic migraine without aura (EMoA). BACKGROUND Previous evidence indicates increased impulsivity and altered reward processing in patients with chronic migraine and medication overuse; however, whether the same holds true for those with EMoA is unclear. METHODS Patients newly diagnosed with EMoA (n = 51) and healthy controls (HC, n = 45) were recruited. All participants completed delay discounting task, cognitive assessments, a questionnaire for headache profile, and resting-state function magnetic resonance imaging scans. Resting-state functional connectivity (RSFC) between the regions of interest and the entire brain was explored. RESULTS Patients with EMoA showed a steeper subjective discount rate than HCs (F = 4.74, p = .032), which was positively related to a history of migraines (r = .742, p < .001). RSFC among the ventral striatum (vSTR), ventromedial prefrontal cortex, and occipital cortex was lower in patients with EMoA than in control groups, which was correlated with history (r' = .294, p = .036) and subjective discount rate (r' = .380, p = .006). Additionally, discounting rates and RSFC between the vSTR and occipital regions were significantly abnormal in the triptan group than the non-triptan group. Mediating effect analysis indicated a significant mediating effect in the change in RSFC between the vSTR and occipital status, history of triptan use, and subjective discount rate. CONCLUSION This study further elucidated that an increase in delayed discounting rate exists in patients with EMoA and is related to the abnormality of the value processing network.
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Affiliation(s)
- Lu Wang
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Chenyang Dai
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Manman Gao
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
| | - Zhi Geng
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
| | - Panpan Hu
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Xingqi Wu
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Kai Wang
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- School of Mental Health and Psychological SciencesAnhui Medical UniversityHefeiChina
- Institute of Artificial IntelligenceHefei Comprehensive National Science CenterHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
- Anhui Provincial Institute of Translational MedicineAnhui Medical UniversityHefeiChina
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12
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Seong JW, Kim Y, Kwon DR, Yang CJ, Özçakar L. Effectiveness of Novel Sympathetic Nerve Entrapment Point Injections for Chronic Migraine: A Pilot Study. Life (Basel) 2023; 14:57. [PMID: 38255672 PMCID: PMC10817430 DOI: 10.3390/life14010057] [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: 12/08/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
No studies to date have investigated the ability of sympathetic nerve entrapment point saline (SNEP) injections to achieve long-term pain relief in patients with migraine. Therefore, this study aimed to investigate the safety and long-term efficacy of repeat splenius capitis (SC) SNEP injections in patients with migraine (with/without tension-type headache). This retrospective, single-arm study included 12 patients with migraine. Isotonic saline was injected into their SC approximately six times for 3 months. Headache frequency, duration (hour/week), intensity (using the visual analog scale), and quality of life (using the Headache Impact Test-6) were assessed during the follow-up visits for up to 24 months after the first injection. Changes before and after treatment were assessed using repeated-measures analysis of variance. Significant reductions in headache frequency, duration, and intensity were observed at all assessment points after SNEP injections when compared with the baseline values (p < 0.05), while the patients' headache-related quality of life also improved. Treatment was continued for up to 3 months to maintain these improvements, and no worsening of status or adverse effects were observed in any of the patients over the following 24 months. Our results show that SNEP injections may offer persistent, substantial, and clinically relevant benefits in patients with migraine.
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Affiliation(s)
- Jeong Won Seong
- Department of Family Medicine, Sarang Tong-sa Research Center, 2nd Floor, 477, Jinnyangho-ro, Jinju-si 52686, Republic of Korea;
| | - Yuntae Kim
- Department of Physical Medicine and Rehabilitation, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si 31151, Republic of Korea;
| | - Dong Rak Kwon
- Department of Rehabilitation Medicine, Muscle Research Center, Catholic University of Daegu School of Medicine, 33 Duryugongwon-ro 17-gil, Nam-Gu, Daegu 42472, Republic of Korea
| | - Cheol-Jung Yang
- Department of Orthopedic Surgery, Bonetouch Orthopaedic Clinic, 262, Godeok-ro, Gangdong-gu, Seoul 05269, Republic of Korea;
| | - Levent Özçakar
- Department of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Hacettepe, Tıp Fakültesi, Altındağ/Ankara 06230, Turkey;
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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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Kim J, Ha WS, Park SH, Han K, Baek MS. Association between migraine and Alzheimer's disease: a nationwide cohort study. Front Aging Neurosci 2023; 15:1196185. [PMID: 37304073 PMCID: PMC10248237 DOI: 10.3389/fnagi.2023.1196185] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/10/2023] [Indexed: 06/13/2023] Open
Abstract
Background and objective Migraine is a common chronic neurological disease characterized by pulsating headaches, photophobia, phonophobia, nausea, and vomiting. The prevalence of dementia in individuals aged over 65 years in Korea is more than 10%, and Alzheimer's disease (AD) dementia accounts for most cases. Although these two neurological diseases account for a large portion of the medical burden in Korea, few studies have examined the relationship between the two diseases. Therefore, this study investigated the incidence and risk of AD in patients with migraines. Methods We retrospectively collected nationwide data from a national health insurance claims database governed by Korea's National Health Insurance Service. Among Koreans in the 2009 record, patients with migraine were identified according to the International Classification of Diseases, 10th revision (ICD-10) code G43. First, we screened the database for participants aged over 40 years. Individuals diagnosed with migraine at least twice over more than 3 months in a year were considered to have chronic migraine in this study. Further, all participants with an AD diagnosis (ICD-10 code: Alzheimer's disease F00, G30) were investigated for AD dementia development. The primary endpoint was AD development. Results The overall incidence of AD dementia was higher in individuals with a history of migraine than in those with no migraine history (8.0 per 1,000 person-years vs. 4.1 per 1,000 person-years). The risk of AD dementia was higher in individuals diagnosed with migraine (hazard ratio = 1.37 [95% confidence interval, 1.35-1.39]) than in the control group after adjustments for age and sex. Individuals with chronic migraine had a higher incidence of AD dementia than those with episodic migraine. Younger age (<65 years old) was associated with an increased risk of AD dementia compared to older age (≥65 years old). Higher body mass index (BMI) (≥25 kg/m2) was also associated with an increased risk of AD dementia compared to lower BMI (<25 kg/m2) (p < 0.001). Conclusion Our results suggest that individuals with a migraine history are more susceptible to AD than those without a migraine history. Additionally, these associations were more significant in younger and obese individuals with migraine than in individuals without migraine.
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Affiliation(s)
- Jaeho Kim
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong-si, Republic of Korea
| | - Woo Seok Ha
- Department of Neurology, Gangwon-do Wonju Medical Center, Wonju, Republic of Korea
- Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Park
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Min Seok Baek
- Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
- Research Institute of Metabolism and Inflammation, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
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Mentzelou M, Dakanalis A, Vasios GK, Gialeli M, Papadopoulou SK, Giaginis C. The Relationship of Ketogenic Diet with Neurodegenerative and Psychiatric Diseases: A Scoping Review from Basic Research to Clinical Practice. Nutrients 2023; 15:nu15102270. [PMID: 37242153 DOI: 10.3390/nu15102270] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND The ketogenic diet (KD) has become widespread for the therapy of epileptic pathology in childhood and adulthood. In the last few decades, the current re-emergence of its popularity has focused on the treatment of obesity and diabetes mellitus. KD also exerts anti-inflammatory and neuroprotective properties, which could be utilized for the therapy of neurodegenerative and psychiatric disorders. PURPOSE This is a thorough, scoping review that aims to summarize and scrutinize the currently available basic research performed in in vitro and in vivo settings, as well as the clinical evidence of the potential beneficial effects of KD against neurodegenerative and psychiatric diseases. This review was conducted to systematically map the research performed in this area as well as identify gaps in knowledge. METHODS We thoroughly explored the most accurate scientific web databases, e.g., PubMed, Scopus, Web of Science, and Google Scholar, to obtain the most recent in vitro and in vivo data from animal studies as well as clinical human surveys from the last twenty years, applying effective and characteristic keywords. RESULTS Basic research has revealed multiple molecular mechanisms through which KD can exert neuroprotective effects, such as neuroinflammation inhibition, decreased reactive oxygen species (ROS) production, decreased amyloid plaque deposition and microglial activation, protection in dopaminergic neurons, tau hyper-phosphorylation suppression, stimulating mitochondrial biogenesis, enhancing gut microbial diversity, restoration of histone acetylation, and neuron repair promotion. On the other hand, clinical evidence remains scarce. Most existing clinical studies are modest, frequently uncontrolled, and merely assess the short-term impacts of KD. Moreover, several clinical studies had large dropout rates and a considerable lack of compliance assessment, as well as an increased level of heterogeneity in the study design and methodology. CONCLUSIONS KD can exert substantial neuroprotective effects via multiple molecular mechanisms in various neurodegenerative and psychiatric pathological states. Large, long-term, randomized, double-blind, controlled clinical trials with a prospective design are strongly recommended to delineate whether KD may attenuate or even treat neurodegenerative and psychiatric disease development, progression, and symptomatology.
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Affiliation(s)
- Maria Mentzelou
- Department of Food Science and Nutrition, School of Environment, University of Aegean, 81400 Myrina, Greece
| | - Antonios Dakanalis
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Georgios K Vasios
- Department of Food Science and Nutrition, School of Environment, University of Aegean, 81400 Myrina, Greece
| | - Maria Gialeli
- Department of Food Science and Nutrition, School of Environment, University of Aegean, 81400 Myrina, Greece
| | - Sousana K Papadopoulou
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece
| | - Constantinos Giaginis
- Department of Food Science and Nutrition, School of Environment, University of Aegean, 81400 Myrina, Greece
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Arc-Mediated Synaptic Plasticity Regulates Cognitive Function in a Migraine Mouse Model. Brain Sci 2023; 13:brainsci13020331. [PMID: 36831874 PMCID: PMC9954307 DOI: 10.3390/brainsci13020331] [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: 01/27/2023] [Revised: 02/08/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023] Open
Abstract
Previous clinical and basic studies have shown that migraine is associated with cognitive impairment, anxiety, and depression. It severely affects the quality of life. In this study, C57BL/6 mice were randomly divided into four groups: IS group, IS+M group, and IS+S group with repeated application of dural inflammatory soup (IS) stimulation to establish a migraine model, followed by PBS, memantine, and sumatriptan interventions, respectively; the blank control group underwent the same treatment procedure but with PBS instead of IS and intervention drugs. The cognitive function of the mice was used as the main outcome indicator. After application of the IS, mice showed reduced pain threshold for mechanical stimulation, decreased learning memory capacity, attention deficit, a reduced number of dendritic spines in hippocampal neurons, and altered synaptic ultrastructure. The cognitive function indexes of mice in the IS+M group recovered with changes in Arc protein expression to a level not statistically different from that of the Control group, while the IS and IS+S groups remained at lower levels. The present results suggest that Arc-mediated synaptic plasticity may be an essential mechanism of cognitive dysfunction in migraine.
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