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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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Fu Z, Liu M, Wang S, Zhang H, Sun Y, Zhou Y, Li X, Ming P, Song J, Xu G. Impairment of inhibitory control due to repetitive subconcussions from indirect brain impacts: Evidence from event-related potentials and resting-state EEG complexity in parachuters. Brain Res Bull 2024; 216:111053. [PMID: 39173778 DOI: 10.1016/j.brainresbull.2024.111053] [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: 04/21/2024] [Revised: 07/27/2024] [Accepted: 08/17/2024] [Indexed: 08/24/2024]
Abstract
The present study aims to investigate the unknown relationship between inhibitory control and repetitive subconcussion induced by the indirect brain impacts. We enrolled 28 parachuters exposed to repetitive subconcussion (SC) and 27 matched health controls (HC). Parachuters who have completed at least 70 actual parachuting (71-112 times) and at least 1500 simulated platform jumps (1500-4500 times) were included in the SC group. The SC group had a reduced accuracy rate in both the Stroop congruent and incongruent conditions. Larger N2 and N450 amplitudes were elicited in the frontal regions of the SC group, which indicate compensatory adaptations to the deficit in conflict monitoring. The reduced frontal resting-state EEG complexity in full-band (1-40 Hz) may demonstrate the frontal structural damage following the indirect brain impacts of repetitive subconcussion. Pearson correlation analysis showed that in the SC group, the frontal beta-band sample entropy values are positively correlated with the accuracy rate of the Stroop incongruent condition, suggesting the frontal beta-band sample entropy values may serve as potential electrophysiological markers of impaired inhibitory control after indirectly repetitive brain impacts. This study provides the robust evidence that repetitive subconcussion resulting from indirect brain impacts may lead to impairment of inhibitory control.
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Affiliation(s)
- Zhenghao Fu
- The First School of Clinical Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou 510515, China; Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China
| | - Min Liu
- Airborne Troop Hospital, Wuhan, China
| | - Shuochen Wang
- Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China
| | - Haoran Zhang
- Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China; Medical College, Wuhan University of Science and Technology, 947 Heping Avenue, Wuhan 430081, China
| | - Yuanyi Sun
- The First School of Clinical Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou 510515, China; Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China
| | - Yang Zhou
- Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China; Hubei University of Medicine, 16 Shanghai Road, Shiyan, Hubei Province 442000, China
| | - Xiang Li
- Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China; Hubei University of Medicine, 16 Shanghai Road, Shiyan, Hubei Province 442000, China
| | | | - Jian Song
- The First School of Clinical Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou 510515, China; Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China.
| | - Guozheng Xu
- The First School of Clinical Medicine, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou 510515, China; Department of Neurosurgery, General Hospital of Central Theater Command, 627 Wuluo Road, Wuhan 430070, China.
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González-Mingot C, Gil-Sánchez A, Canudes-Solans M, Peralta-Moncusi S, Solana-Moga MJ, Brieva-Ruiz L. Preventive treatment can reverse cognitive impairment in chronic migraine. J Headache Pain 2022; 23:121. [PMID: 36109696 PMCID: PMC9476561 DOI: 10.1186/s10194-022-01486-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/09/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Objective
To study the impact of chronic migraine (CM) on the cognition and quality of life (QoL) of patients in the interictal period, and to analyse the degree of reversibility of any observed alterations following the use of preventive treatment.
Background
CM is a highly disabling disease, and migraineurs often have associated comorbidities, such as subjective memory problems, that are involved in the development of cognitive impairment. Our hypotheses are that patients suffering from chronic migraine experience objective cognitive alterations that are not only due to the pain that they suffer or their current emotional state. Furthermore, preventive treatment should be capable of reversing, or at least reducing, the impact of CM on the cognition and QoL of migraineurs.
Methods
The cognition and QoL of 50 control subjects and 46 patients with CM were assessed using a battery of tests, prior to the use of preventive treatment based on botulinum toxin or oral drugs and after 3 months of this treatment.
Results
Compared with controls, patients with CM had lower scores on the assessment of cognitive performance (Rey-Osterrieth Complex Figure test [ROCF] (p<0.05), Trail Making Test [TMT] B) (p < 0.05) and QoL (p < 0.05). Three months after the use of preventive treatment, improvement was observed in all cognitive parameters (p < 0.05) and QoL (p < 0.05), except the ROCF copy task (p = 0.79). No statistically significant differences were observed when these outcomes were compared based on treatment.
Conclusions
This study confirms poor cognitive performance that is not explained by migraine pain itself, as it occurs in the interictal period, irrespective of the patient’s emotional status. Our findings show that these effects are reversible in some cases with preventive treatment of CM, reaffirming the important impact of this condition on the QoL of these patients, and the need to establish preventive treatment guidelines.
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Begasse de Dhaem O, Robbins MS. Cognitive Impairment in Primary and Secondary Headache Disorders. Curr Pain Headache Rep 2022; 26:391-404. [PMID: 35239156 PMCID: PMC8891733 DOI: 10.1007/s11916-022-01039-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2022] [Indexed: 11/28/2022]
Abstract
Purpose of Review To critically evaluate the recent literature on cognitive impairment and headache. Recent Findings Neurocognitive symptoms are prevalent, debilitating, and occur often with both primary and secondary headache disorders. Summary This is a “narrative review of the current literature in PubMed on cognitive function and headache.” Migraine is associated with cognitive impairment years before a migraine diagnosis. In young and middle-aged adults, migraine is associated with deficits in attention, executive function, processing speed, and memory. It is unlikely that migraine is associated with dementia. Although methodologically difficult to assess, there does not seem to be an association between tension-type headache and cognitive dysfunction. In early to midlife, cluster headache seems to be associated with executive dysfunction. Several secondary headache syndromes relevant to clinicians managing headache disorders are associated with poorer cognitive performance or distinctive cognitive patterns, including those attributed to chronic cerebral or systemic vascular disorders, trauma, and derangements of intracranial pressure and volume, including frontotemporal brain sagging syndrome.
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Affiliation(s)
| | - Matthew S Robbins
- Department of Neurology, Weill Cornell Medical College, New York Presbyterian Hospital, New York, NY, USA
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