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Objective To investigate the immediate brain effect of acupuncture at Fengchi using amplitude of low-frequency fluctuation(ALFF)and functional connectivity by the resting-state functional magnetic resonance imaging(rs-fMRI)in patients with posterior circulation ischemia vertigo(PCIV).Methods Twenty patients with PCIV were enrolled.The dizziness handicap inventory(DHI)was used to evaluate the severity of vertigo.The patients were randomly divided into acupuncture group and sham acupoint acupuncture group.Rs-fMRI scan was performed before and after acupuncture.MATLAB-based DPABI 6.1 software was used to analyze rs-fMRI data.Correlation analysis was used between the altered ALFF values and DHI scores.The regions of altered ALFF were taken as seeds to analyze functional connectivity.Results Compared with the sham acupoint acupuncture group,the increased ALFF values were mainly located on the left precuneus,left superior frontal gyrus and left caudate nucleus after acupuncture in the acupuncture group;the decreased ALFF values were mainly located on the left cerebellum and right inferior occipital gyrus.The ALFF value of the left superior frontal gyrus was negatively correlated with the DHI score(P=0.04).The increased functional connectivity was mainly found between left precuneus and the right middle frontal gyrus,the right superior frontal gyrus,the decreased functional connectivity was mainly found between left precuneus and the bilateral paracentral lobule and right cerebellum.Conclusion The ALFF value and functional connectivity are different before and after acupuncture,indicating that the vestibular network,visual and motor brain regions functional activities are changed after needling at Fengchi,which may be the brain functional basis of Fengchi for vertigo in PCIV.
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BACKGROUND:This review explores the current research status and frontier hot spots of functional magnetic resonance imaging(fMRI)in the field of traditional Chinese medicine(TCM)for the treatment of ischemic stroke,and attempts to grasp future research trends,with a view to providing a reference for subsequent research in this field. OBJECTIVE:To visualize and analyze the hotspots and frontiers in the TCM treatment of ischemic stroke based on fMRI using CiteSpace knowledge mapping combined with binary logistic regression equations,in order to grasp the future research trends and further explore the distribution of brain regions with abnormal neural activity related to the types of post-stroke dysfunction. METHODS:CNKI,WanFang,VIP,Chinese Biomedical Literature Database and Web of Science core set database were searched.CiteSpace was used to plot keyword co-occurrence,keyword clustering timeline,burst term detection,co-cited literature mapping to analyze hotpots and frontiers in this field.Binary logistic regression analysis fitted the distribution of brain regions with abnormal neural activity associated with different dysfunction after ischemic stroke. RESULTS AND CONCLUSION:A total of 354 articles were included for CiteSpace knowledge mapping analysis.The number of annual publications showed that the research popularity has been raised from 2000 to 2022 with a good development prospect,but the core strength is mainly concentrated in China.Keywords co-occurrence and clustering time line analysis showed that aphasia,hemiplegia and cognitive impairment are the hot poststroke dysfunction types.Electroacupuncture,acupuncture and head acupuncture are hotspot intervention measures.Functional connectivity is a hotspot analysis method,and resting fMRI is a hotspot scanning technology.The time span of each research hotspot is long,indicating that it has a certain research value and the relevant research is gradually deepening,promoting the research progress in this field.However,acupuncture is the main intervention measure,and there is a lack of research on traditional Chinese medicine,Chinese patent medicine,acupuncture and medicine combination and other TCM therapy.Burst term detection results showed that functional connectivity,graph theory,degree centrality,default mode network,randomized controlled trials have great influence and strong explosive power.They are the current and future frontier hot spots in this field,suggesting that future research should focus on the brain network information integration and strengthen the scientific and rigorous clinical trial design.The results of co-cited literature analysis showed that the epidemiological investigation of ischemic stroke,the safety and effectiveness of acupuncture in the treatment of stroke,the brain activation patterns under different tasks,and the neuropathological mechanism of brain network dysfunction after stroke are the theoretical basis of this field.Future research direction in this field is to explore TCM-targeted brain regions and neural networks to reveal the brain effect mechanism of TCM promoting neural remodeling after stroke.A total of 255 articles were included for binary Logistic regression analysis.The results showed that sensorimotor cortex and premotor area dysfunction are positively correlated with the incidence of motor dysfunction after stroke;hippocampus,cerebellum posterior lobe,precuneus,inferior temporal gyrus and anterior cingulate nerve dysfunction are positively correlated with the incidence of cognitive impairment after stroke;cuneus,angular gyrus and prefrontal lobe neural dysfunction were positively correlated with the incidence of affective disorder after stroke;anterior cingulate,cerebellum posterior lobe neural dysfunction are positively correlated with the incidence of swallowing disorder after stroke.The above brain regions are the core brain regions of the sensorimotor network,default mode network and reward loop,suggesting that functional abnormalities within or between brain networks related to dysfunction may be potential target areas for TCM intervention,but the specific changes in neural activity activation or inhibition still need to be refined.
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BACKGROUND:Olfactory dysfunction is an early biological marker of various diseases.However,the neuroimaging mechanism by which olfactory dysfunction occurs following cerebral small vessel disease is unclear. OBJECTIVE:To explore the different neuroimaging mechanisms of olfactory function regulation in patients with cerebral small vessel disease and Parkinson's disease,and explore the potential application value of olfactory function assessment in patients with cerebral small vessel disease. METHODS:Neuropsychological and olfactory tests,high-resolution structural magnetic resonance and resting-state functional magnetic resonance data were collected in 80 patients with cerebral small vessel disease,44 healthy controls and 29 patients with Parkinson's disease.DPABI,SPM12 and SPSS were used to analyze and compare the amplitude of low frequency fluctuation,regional homogeneity and functional connectivity values between the cerebral small vessel disease,control and Parkinson's disease groups.Correlations between the significantly altered resting-state functional magnetic resonance imaging measures and olfactory and cognitive scores were evaluated. RESULTS AND CONCLUSION:Compared with the control group,low-frequency fluctuation amplitude of the right dorsolateral superior frontal gyrus and the regional homogeneity of the left wedge leaf were significantly reduced in the cerebral small vessel disease and Parkinson's disease groups.The right dorsolateral superior frontal gyrus and the left cuneiform lobe are the seed points.Compared with the Parkinson's disease group,the functional connectivity values of the right anterior cunei,inferior temporal gyrus,anterior central gyrus and dorsolateral superior frontal gyrus,left posterior central gyrus and inferior temporal gyrus were significantly enhanced in the control and cerebral small vessel disease groups.The left cuneiform lobe was the seed point.Compared with the control group,the functional connectivity of the left lingual gyrus was significantly weakened in the cerebral small vessel disease and Parkinson's disease groups.The functional connectivity values of the left middle temporal gyrus and the right posterior central gyrus were enhanced in the control group compared with the cerebral small vessel disease and Parkinson's disease group,and that was enhanced in the cerebral small vessel disease group compared with the Parkinson's disease group.Correlation analysis showed that the olfactory score and cognitive score were positively correlated in the cerebral small vessel disease group,and the regional homogeneity of the left wedge lobe was negatively correlated with the Montreal Cognitive Assessment Scale score,while the functional connectivity of left wedge lobe-left middle temporal gyrus in the Parkinson's disease group was positively correlated with the olfactory recognition score,and the functional connectivity values of the left wedge lobe-left posterior central gyrus and left wedge lobe-left lingual gyrus were positively correlated with the olfactory identification score and the total olfactory score,respectively.The regulation of olfactory function in patients with cerebral small vessel disease has a different neuroimaging mechanism from that of olfactory dysfunction in patients with Parkinson's disease.The olfactory function of patients with cerebral small vessel disease is related to cognitive function.It is speculated that the olfactory function following cerebral small vessel disease is a secondary change of brain dysfunction,while olfactory dysfunction following Parkinson's disease is directly caused by abnormal function of olfactory-related brain areas.Olfactory function assessment in patients with cerebral small vessel disease has potential application in predicting cognitive function.
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Objective To study the brain functional connectivity(FC)changes in patients with normal tension glau-coma(NTG)and healthy volunteers using FC technique of resting-state functional magnetic resonance imaging(rs-fMRI)based on V1 region seed point(ROI),so as to explore the pathogenesis and early diagnosis of NTG.Methods Fourteen NTG patients(NTG group)who met the inclusion criteria and 14 healthy controls(HCs group)were enrolled.The clinical data of all subjects were collected,and rs-fMRI was performed in both groups.The magnetic resonance data was pre-pro-cessed by software,and bilateral A1 regions were taken as the ROI to analyze their correction with the whole brain voxel time series and obtain the FC value between the ROI and the whole brain by comparison of FC values in resting state be-tween the groups.Pearson correlation analysis was used to explore the relationship between FC value in the brain regions with significant differences with the ROI and clinical variables in the NTG group.Results Compared with the subjects in the HCs group,there were no statistically significant differences in age,gender,body weight,cup-disc ratio and 24 h mean intraocular pressure of patients in the NTG group(all P＞0.05),and there were statistically significant differences in the best corrected visual acuity(BCVA)of both eyes and peripapillary retinal nerve fiber layer thickness(RNFLT)(all P＜0.05).The Pearson correlation analysis showed that FC value of the brain regions with abnormal FC to V1 region were cor-related with RNFLT in the NTG group(P＜0.05).ROI1-left superior frontal gyrus,ROI1-right superior frontal gyrus,ROI2-left cingulate gyrus and ROI2-right middle frontal gyrus were significantly positively correlated with RNFLT(all P＜0.05).Compared with the HCs group,the brain regions with reduced FC to the right ROI in the NTG group were the left superior frontal gyrus and right superior frontal gyrus;the brain regions with reduced FC to the left ROI were the left cingulate gyrus and right middle frontal gyrus.Conclusion Compared to healthy individuals,NTG patients have significant changes in the functional connections between certain specific brain regions and V1 region,including bilateral superior frontal gyrus,left cingulate gyrus,and middle frontal gyrus.The changes in brain functional activity may be caused by visual dysfunction caused by NTG,leading to functional impairment of the visual and cognitive emotion processing brain regions,which may be one of the potential neuropathological mechanisms in NTG patients.
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Objective:To investigate the underlying neuroimaging mechanism of migraine without aura (MwoA) by using methods of voxel-based morphometry (VBM) and resting-state functional connectivity (FC).Methods:Twenty-five MwoA patients admitted to Department of Neurology, the Second Affiliated Hospital of Xuzhou Medical University from September 2020 to June 2023 were recruited as MwoA group, and 22 volunteers were recruited as healthy control (HC) group. Demographic, clinical characteristics, scores of Hamilton Anxiety Scale (HAMA), Hamilton Depression Rating Scale (HAMD) and Montreal Cognitive Assessment (MoCA) of all subjects were collected; MwoA patients also received Migraine Disability Assessment Questionnaire, Headache Impact Test-6 and headache Visual Analogue Scale assessments. All subjects underwent high-resolution 3D-T 1 and resting-state functional magnetic resonance imaging scanning. The SPM12 software was used to compare the difference in gray matter volume (GMV) between the 2 groups by VBM method. The GRETNA software was adopted to calculate the whole brain FC with anatomical automatic labeling 90 as the regions of interest, and the difference in FC between the 2 groups was statistically analyzed by two-sample t-test. Pearson partial correlation was used to analyze the correlation between brain GMV and FC changes and clinical features and scale scores of MwoA patients. Results:There existed no statistically significant difference between the 2 groups in age, gender, education, scores of HAMA, HAMD and MoCA (all P>0.05). Migraine Disability Assessment Questionnaire, Headache Impact Test-6 and headache Visua Analogue Scale scores of MwoA patients were (8.86±4.55), (50.27±6.35) and (6.68±1.73). Compared with the HC group, GMV was significantly decreased in the right superior frontal gyrus (SFG), right cingulate gyrus (CG) and left thalamus in the MwoA group ( P<0.05, false discovery rate corrected). In addition, the MwoA group showed decreased FC between left thalamus and right cuneus, left lingual gyrus (LG) and bilateral precuneus; decreased FC between right thalamus and right cuneus, right LG and right precuneus; decreased FC between right cuneus and left precuneus and right SFG; decreased FC between left LG and bilateral precuneus, decreased FC between right LG and right precuneus and left SFG; decreased FC between left precuneus and bilateral SFG, and between right precuneus and right SFG (edge P<0.001, component P<0.05, network-based statistics correction, interation=2 000). In MwoA patients, the FC (z-value) between left thalamus and right cuneus was negatively correlated with the duration of disease ( r=-0.530, P=0.011). Conclusions:MwoA patients showed decreased GMV in right SFG, CG and left thalamus. In MwoA patients, FC between thalamus and visual network (VN) and default mode network (DMN) was significantly decreased, and FC among VN, DMN and executive control network was significantly decreased. These changes in brain structure and function may be an adaptive change in the central sensitivity and responsiveness to pain stimuli, and may be an important neuroimaging mechanism of MwoA.
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Objective:To observe the effects of transcranial direct current stimulation (tDCS) on functional connectivity (FC) in language-related brain regions of patients with picture-naming dysfunction after cerebral infarction by using resting state functional magnetic resonance imaging(rs-fMRI).Methods:Twenty-eight patients with post-infarction picture-naming dysfunction were divided into an acute stage group( n=16) and a recovery stage group( n=12) according to the course of the disease, and 18 middle-aged and elderly volunteers were recruited as the normal control group.The anodic tDCS was applied on the posterior perisylvian region(PPR) of the left sylvian of the patients, 5 days a week for 2 weeks.Before and after the 2 weeks′ treatment, the rs-fMRI and Psycholinguistic Assessment of Chinese Aphasia (PACA)-picture-naming subscale were performed, and FC changes in language-related brain areas were observed. Results:After treatment, the PACA scores of patients in both acute and recovery stage groups were significantly improved after treatment( P<0.05). Compared with normal subjects, FC in multiple brain regions and particularly the Wernicke area was reduced in both cerebral hemispheres among the patient group. It was more severe in the dominant hemisphere.After the tDCS treatment, FC in both frontotemporal lobes and in the Wernicke area was significantly enhanced in both the acute and recovery groups. Further comparison showed that in the acute group FC in both temporo-occipital lobes was significantly enhanced after treatment. In the recovery group, the enhanced FC in the left temporal lobe before the treatment was significantly reduced after treatment. Conclusion:The fMRI technique can evaluate changes in brain connectivity in aphasia patients with picture-naming dysfunction after cerebral infarction accurately and non-invasively.tDCS may improve picture-naming function of stroke patients by enhancing the FC in bilateral language-related brain areas(concentrated in frontotemporal lobes) and Wernicke area.
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ObjectiveChildhood trauma （CT） is considered one of the major risk factors for developing major depressive disorder （MDD） in adulthood. However， the neural basis of MDD patients with CT （CT-MDD） remains poorly understood. Therefore， the objective of our study is to explore the resting-state global brain functional connectivity （FC） in CT-MDD. MethodsA total of 34 CT-MDD and 34 healthy controls performed resting-state fMRI. Whole-brain voxel-level degree centrality （DC） analysis was performed， and the brain regions with significant differences between the two groups were selected as region of interest （ROI） for further estimating the global brain FC. Subsequently， correlation analysis was performed between DC values， FC values in abnormal brain areas and clinical characteristics. ResultsThe CT-MDD group showed increased DC value of the right middle frontal gyrus （MFG） compared with the healthy controls. Seed-based FC revealed that the CT-MDD group showed increased connections between the left precuneus and the right MFG or the right medial prefrontal cortex， relative to healthy controls （threshold at P<0.05）. Additionally， the DC value of the right MFG was correlated with the severity of CT. ConclusionOur results show the increased FC between the left precuneus and the ROI （right MFG） as well as the right medial prefrontal cortex， which are two important brain regions within the default mode network （DMN）， and might suggest increased synchronism between the cognitive executive networks and DMN in CT-MDD. These findings may provide insights into the pathophysiological mechanisms underlying CT-MDD.
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【Objective】 To explore the correlation between abnormal thalamic functional connectivity (FC) and memory loss in maintenance hemodialysis patients with end-stage renal disease (ESRD). 【Methods】 An auditory verbal learning test (AVLT-H) was conducted on 22 patients with ESRD and 28 age-, sex-, and education-matched healthy controls (HC) to evaluate memory function. After that, resting-state functional magnetic resonance imaging (rs-fMRI) data were gathered, and a whole-brain FC analysis centered on the thalamus was executed to discern variations in thalamic FC between the two groups. Finally, Pearson and Spearman correlation analyses were carried out. 【Results】 Compared to the HC group, the ESRD group exhibited notably lower scores in IR-S (P=0.002), SR-S (P<0.001), and LR-S (P=0.005). Concurrently, the ESRD group demonstrated diminished FC of the right thalamus with the left superior frontal gyrus, the left parietal lobule, the right suproccipital gyrus, the right anterior cuneus, and the right middle frontal gyrus (P<0.05, TFCE correction). Additionally, reduced FC were observed between the left thalamus and the left gyrus rectus, the left parietal lobule, and the right parietal lobule in the ESRD group (P<0.05, TFCE correction). Moreover, the FC values between the left thalamus and the left gyrus rectus in the ESRD group displayed significant negative correlations with IR-S (r=-0.499), SR-S (r=-0.458), and LR-S (r=-0.455) (all P<0.05). 【Conclusion】 Memory impairment is evident in ESRD patients undergoing maintenance hemodialysis, and it appears to be intricately linked to anomalous FC within the left thalamus and the left gyrus rectus. These findings offer potential imaging markers for monitoring memory dysfunction in individuals with ESRD.
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Objective:To explore the correlations of brain network functional connectivity (FC) alterations with cerebrospinal fluid (CSF) pathological biomarkers in patients with Alzheimer's disease (AD).Methods:A total of 39 patients with cognitive impairment, admitted to Department of Neurology, Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2020 to December 2022 were recruited; 23 patients were with AD and 16 with non-AD. Clinical data were compared between the 2 groups. Resting-state functional MRI (rs-fMRI) data were collected, and FC differences between brain networks and FC differences within brain networks were compared by independent component analysis. Correlations of FC differences between brain networks and FC differences within brain networks with concentrations of β-amyloid protein 1-42 (Aβ 1-42) and Tau protein in CSF were analyzed. Results:Compared with the non-AD group, AD group had significantly lower Aβ 1-42 in CSF ( P<0.05). Compared with those in the non-AD group, FC alterations between the left frontoparietal network (lFPN) and anterior default mode network (aDMN) and between the visual network (VN) and posterior cingulate cortex (PCC), as well as FC alterations in lFPN, were significantly increased in AD group ( P<0.05). Compared with those in the non-AD group, FC alterations between lFPN and cerebellar network (CEN), and FC alterations in aDMN, sensorimotor network (SMN) and VN were significantly decreased in AD group ( P<0.05). In AD group, FC in SMN was positively correlated with total Tau and phosphorylated-Tau181 in CSF ( P<0.05); FC between VN and PCC was positively correlated with total Tau in CSF ( P<0.05). CSF Aβ 1-42 was positively correlated with FC alterations in aDMN and VN, but negatively correlated with FC in FPN ( P<0.05). Conclusion:In AD patients, characteristic changes in FC within and between multiple brain networks are noted, which are related to changes of Tau protein and Aβ 1-42 in CSF.
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Objective To observe the changes in functional connectivity(FC)of raphe nucleus in patients with first-episode depression complicated with suicidal ideation(SI).Methods Ninety-eight first-episode depression patients were prospectively enrolled and assigned into SI group(n=56)or non SI group(n=42)based on complicated with SI or not,while 47 healthy volunteers were recruited as control group.Resting-state functional MRI was performed.FC between dorsal raphe nucleus(DRN),median raphe nucleus(MRN)and the whole brain were analyzed and compared among 3 groups and between each 2 groups,and the correlations of FC of different brain regions with clinical data of SI group were explored.Results Compared with control group,FC between DRN and left cerebellum and left putamen in SI group and non SI group decreased(all P＜0.05),between MRN and right inferior temporal gyrus increased but between MRN and left inferior frontal gyrus,right superior occipital gyrus,left inferior parietal lobule,left putamen decreased(all P＜0.05).FC between DRN and left putamen in SI group was higher than that in non SI group(P＜0.05).FC between MRN and right central posterior gyrus of SI group increased compared with that in the rest 2 groups(both P＜0.05).FC between MRN and left putamen in SI group was positively correlated with body mass score of Hamilton depression scale-24(HAMD-24)(rs=0.297,P=0.026).Conclusion Abnormal changes of FC between raphe nucleus and cortex,also between raphe nucleus and subcortical area occurred,and FC between MRN and left putamen positively correlated with body mass score of HAMD-24 in patients with first-episode depression complicated with SI.
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Objective:The electroencephalogram(EEG)signals were collected for analysis to define the differences in dy-namic functional connectivity of the brain network of related nodes in the primary motor area(M1)and pre-motor area(PMA)during motor imagination and motor execution.The relationship between muscle synergy and isolated movement was also explored. Method:Ten stroke patients with right hemiplegia and nineteen healthy adults participated in this study.All participants performed motor imagination(MI)and motor execution(ME)tasks according to visual instruc-tions.We recorded and analyzed the EEG signals at 12 sites located in Ml and PMA areas.The chosen EEG signals were filtered and analyzed based on the modified S-transform(MST).All data were normalized to avoid individual differences.Then we analyzed the data with Pearson correlation to identify the dynamic func-tional connectivity(FC)and the differences with Fisher's exact test for node degrees. Result:All the distribution trend of correlation degree of chosen node about left or right MI and ME of stroke patients was similar to that of healthy participants.Compared with the motion execution,the function connection strength and density of each node were elevated at MI,which was also consistent with healthy par-ticipants.When healthy adults underwent left hand MI,the degree of the C4 node in the Ml area was signifi-cantly higher than that of C3 on the opposite side(P＜0.05),while at right hand MI,the sum of the node de-grees of FC3 and FC1 in the left PMA area was significantly higher than that of the lateral symmetric chan-nel FC4 and FC2(P＜0.05).When the right upper limb isolated movement was performed,the node degree of C3 decreased significantly(P＜0.05). Conclusion:The major region of function connectivity of the right hand MI was in the left PMA area,and the node degree at MI was higher than ME.The functional connectivity of each node at the left hand MI was dispersed.The main channels activated by the muscle synergy are different from the isolated movement.
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People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.
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BackgroundThe activity in precuneus within default mode network has been reported to be associated with antidepressant response， whereas the relationship between the functional network of precuneus and early response to antidepressant medications remains unclear. ObjectiveTo investigate the relationship between precuneus functional connectivity （FC） and early efficacy of antidepressant treatment in patients with major depressive disorder， so as to find a neurobiomarker to predict the early efficacy of antidepressants. MethodsA consecutive sample of 47 patients with major depressive disorder who attended the Mental Health Center， West China Hospital of Sichuan University from July 2017 to February 2019 and fulfilled the diagnostic criteria of Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited. Baseline resting-state functional magnetic resonance imaging scan findings and clinical assessments were recorded in participants. All patients treated with antidepressants for two weeks. Improvement was defined as 20% or greater reduction in baseline 16-item Quick Inventory of Depressive Symptoms Self-Report Scale （QIDS-SR16） by treatment exit， and patients were then classified into early improved group （n=27） and non-improved group （n=20）. FC values of precuneus and whole brain were calculated using bilateral precuneus as seed region， and baseline precuneus FC values were compared between two groups. Pearson correlation analysis was utilized to explore the correlation between FC values in brain regions with statistically significant differences and QIDS-SR16 total scores and reduction rates. ResultsFC values between the left precuneus and left precentral gyrus and between the right precuneus and right fusiform gyrus in early improved group were both higher than those in non-improved group （GRF correction， P<0.01）. The FC valves between the left precuneus and the left precentral gyrus and between the right precuneus and the right fusiform gyrus were positively correlated with QIDS-SR16 reduction rate （r=0.475， 0.297， P<0.05）. ConclusionWeakened FC between the left precuneus and left precentral gyrus and between the right precuneus and right fusiform gyrus are related to poor early efficacy to antidepressant treatment， and FC of precuneus may be a potential predictor of early response to antidepressants. ［Funded by the National Key Research & Development Program of China （number， 2016YFC1307204）； Key Development Project of the Sichuan Provincial Science and Technology Plan （number， 2018SZ0131）］
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BackgroundTo date， pharmacologic therapy is considered the standard first-line treatment for insomnia disorder， but there are still some concerns over the adverse reactions. Repetitive transcranial magnetic stimulation （rTMS） and cognitive behavioral therapy for insomnia （CBT-I） as an alternative to pharmacologic therapy have the advantages of fewer side effects and better patient tolerance in the treatment of chronic insomnia disorder. ObjectiveTo explore the clinical efficacy of rTMS and CBT-I on chronic insomnia disorder， so as to provide a novel therapeutic option for the treatment of chronic insomnia disorder. MethodsA total of 50 patients with chronic insomnia disorder attending the outpatient clinic of Inner Mongolia Autonomous Region Mental Health Center or community hospital from September 21， 2020 to December 16， 2021 and fulfilling the International Classification of Sleep Disorders， third edition （ICSD-3） diagnostic criteria were enrolled. Additionally， 16 age- and sex-matched healthy controls recruited from the community were set as control group. Patients were randomly divided into rTMS group and CBT-I group， 25 cases in each group， and received rTMS or CBT-I intervention for 6 weeks respectively. At enrollment and completion of intervention， patients were subjected to Polysomnography （PSG）， Pittsburgh Sleep Quality Index （PSQI）， Insomnia Severity Index （ISI） and Repeatable Battery for the Assessment of Neuropsychological Status （RBANS）. All participants underwent resting-state functional magnetic resonance imaging （rs-fMRI） scans， and amplitude of low-frequency fluctuation （ALFF） was calculated. The brain regions with statistically different ALFF values between patient group and control group were chosen as regions of interest （ROIs）， and whole-brain seed-based functional connectivity analyses were conducted. ResultsAfter a 6-week intervention in the two groups， the main effect of time was significant for PSQI （F=41.160， P<0.05）， ISI （F=69.615， P<0.05） and RBANS immediate memory （F=47.923， P<0.05）， language （F=12.090， P<0.05） and delayed memory indices （F=28.193， P<0.05）. A significant main effect of time for total sleep time （F=8.995， P<0.05）， a significant main effect of time for sleep efficiency （F=12.414， P<0.05）， a significant main effect of group for sleep efficiency （F=4.342， P<0.05） and a significant main effect of time for N1% （F=7.806， P<0.05） were observed. Sleep efficacy in CBT-I group improved significantly from pre- to post-test （t=-2.785， P<0.05）. Patients in rTMS group showed increased functional connectivity between the orbital superior frontal gyrus and other regions including left lentiform nucleus putamen （t=4.991， P<0.05）， right median cingulate and paracingulate gyri （t=4.471， P<0.05） and right postcentral gyrus （t=4.922， P<0.05）， and increased functional connectivity between the orbital superior frontal gyrus and left middle frontal gyrus was found in CBT-I group （t=6.586， P<0.05）. ConclusionrTMS and CBT-I may help alleviate insomnia and improve cognitive function of patients with chronic insomnia disorder. [Funded by Science and Technology Planning Projects in Inner Mongolia Autonomous Region （number， 201802142）］
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The conventional approach to investigating functional connectivity in the block-designed study usually concatenates task blocks or employs residuals of task activation. While providing many insights into brain functions, the block design adds more manipulation in functional network analysis that may reduce the purity of the blood oxygenation level-dependent signal. Recent studies utilized one single long run for task trials of the same condition, the so-called continuous design, to investigate functional connectivity based on task functional magnetic resonance imaging. Continuous brain activities associated with the single-task condition can be directly utilized for task-related functional connectivity assessment, which has been examined for working memory, sensory, motor, and semantic task experiments in previous research. But it remains unclear how the block and continuous design influence the assessment of task-related functional connectivity networks. This study aimed to disentangle the separable effects of block/continuous design and working memory load on task-related functional connectivity networks, by using repeated-measures analysis of variance. Across 50 young healthy adults, behavioral results of accuracy and reaction time showed a significant main effect of design as well as interaction between design and load. Imaging results revealed that the cingulo-opercular, fronto-parietal, and default model networks were associated with not only task activation, but significant main effects of design and load as well as their interaction on intra- and inter-network functional connectivity and global network topology. Moreover, a significant behavior-brain association was identified for the continuous design. This work has extended the evidence that continuous design can be used to study task-related functional connectivity and subtle brain-behavioral relationships.
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Objective:To investigate the alterations of resting-state functional connectivity (RSFC) in ventral tegmental area (VTA) and substantia nigra (SN) among male smokers, and its correlation with clinical characteristics of smoking.Methods:The resting-state functional magnetic resonance data of 131 subjects recruited from January 2014 to December 2018 were analyzed retrospectively, including 76 smokers (smoking group) and 55 non-smokers (control group). VTA/SN was selected as regions of interest (ROI), and then calculated RSFC between VTA/SN and the whole brain.Based on SPM12 software, independent sample t-test was conducted to compare the differences in RSFC between smoking group and control group.Based on SPSS 22.0 software, Pearson correlation analysis was used to investigate the relationships between the RSFC of brain regions with significant differences and Fagerstr?m test for nicotine dependence (FTND) score, pack-year of smokers. Results:Compared with control group, the results showed decreased RSFC between VTA and the brain regions related default mode network (DMN)(including posterior cingulate cortex, right anterior cuneiform lobe, bilateral superior temporal gyrus, right middle temporal gyrus and right inferior parietal lobule), and regions of limbic system(including right marginal lobe and right angular gyrus), right calcarine (MNI: x, y, z=24, -55, -14) and left insula(MNI: x, y, z=-35, -11, 9) in smoking group(GRF corrected, voxel level P<0.005, cluster level P<0.05). Taking SN as the seed, there was no significant difference between smoking group and control group ( P>0.05). RSFC of VTA-left superior temporal gyrus was positively correlated with pack-year( r=0.243, P=0.034) and FTND ( r=0.282, P=0.014). VTA-left insula RSFC was positively correlated with FTND ( r=0.316, P=0.006). Conclusion:The RSFC in the mesolimbic system and the VTA-DMN circuit exist abnormal changes in smokers.To some extent, it may explain the reward deficits and dysfunction of emotion regulation in smokers, which may provide clues for further understanding the mechanism of tobacco addiction.
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Electroconvulsive therapy (ECT) is a physical therapy method with rapid onset and remarkable effect for schizophrenia(SZ). It is widely used in patients with agitated impulses, stupor and refractory patients with poor drug treatment effect. The neurophysiological mechanism of ECT effect has not been elucidated. In the past decade, the magnetic resonance imaging (MRI) studies of ECT for SZ have been gradually reported in domestic and international journal, involving magnetic resonance spectroscopy, structural state and resting state analysis, preliminary findings suggest that there may be a correlation between ECT efficacy and structural and functional brain changes, mainly involving morphological changes in brain regions such as the thalamus, hippocampus, insula and left medial prefrontal lobe, as well as functional changes in core resting state networks, particularly the dorsal frontoparietal network, default network and limbic network. More research and exploration are needed in the future to provide valuable clues to further explore the therapeutic mechanism of ECT treatment.
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Objective:To investigate the alterations of amplitude of low frequency fluctuation (ALFF) and functional connectivity (FC) in patients with Parkinson′s disease (PD) with apathy.Methods:From May 2016 to August 2019, PD patients and age-, gender-and education level-matched healthy controls (HC) in the First Affiliated Hospital of Nanjing Medical University were prospectively recruited. The clinical and resting-state functional MRI (rs-fMRI) data of PD patients and HC were analyzed. According to the Starkstein Apathy Scale (SAS) scores, PD patients were divided into PD with apathy (PD-A) group and PD without apathy (PD-NA) group. Rs-fMRI images were processed by DPABI based on MATLAB. ALFF values were calculated and the standard ALFF (zALFF) were obtained. ANOVA and Post-Hoc t test were performed to compare the differences in local brain activity among the three groups. The brain regions with significant different zALFF values were selected as the seeds to calculate the FC values of the whole brain. The associations between FC values and the SAS scores were performed using pearson correlation analyses. Results:A total of 75 PD patients (50 males, 25 females, aged from 44 to 88 years) and 41 HC (25 males, 16 females, aged from 54 to 72 years) were enrolled. There were 42 patients in the PD-A group and 33 patients in the PD-NA group. Significant differences were found in zALFF values among the PD-A, PD-NA and HC groups ( P<0.05). After Post-Hoc t test, compared with the HC group, zALFF values were significantly increased in the right middle frontal gyrus in the PD-A group ( P<0.05) and significantly decreased in the left precuneus in the PD-NA group; The zALFF values of the right middle frontal gyrus and left precuneus in the PD-A group were significantly higher than those in PD-NA group ( P<0.05). Brain regions with different zALFF values were used as seeds for whole-brain FC. Compared with PD-NA group, FC values between the right middle frontal gyrus and bilateral precuneus, left superior frontal gyrus and its medial side, left middle frontal gyrus, left angular, left anterior cingulate gyrus, left posterior cingulate gyrus, left parahippocampal gyrus were significantly decreased in the PD-A group ( P<0.05). Additionally, FC values of PD patients between the right middle frontal gyrus with the left precuneus, the left superior frontal gyrus and its medial side, and the left middle frontal gyrus were negatively correlated with SAS scores ( r=-0.31, -0.30 and -0.34, both P<0.05). Conclusion:PD-A and PD-NA patients have different brain functional activities and connections in the frontal lobe, parietal lobe and limbic system, suggesting that apathy in PD may be associated with the abnormal functional connections of the frontal-parietal cortical circuit and the frontal-limbic-striatal loop.
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Objective:To investigate the changes in dynamic functional connectivity density (dFCD) and its relationship with Fagerstr?m test for nicotine dependence (FTND) scores in individuals with smoking addiction based on functional MR.Methods:The clinical and imaging data of 176 volunteers recruited through wechat and other online platforms from September 2019 to December 2020 in the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. The 176 volunteers were male, aged 20 to 55 years old, and were divided into light smoking addiction group (59 cases), heavy smoking addiction group (61 cases) and control group (56 cases). All subjects underwent resting state functional MR scanning and dFCD was calculated. The dFCD values of three groups were analyzed by ANOVA analysis (GRF corrected, voxel level P<0.005, cluster level P<0.01). Bonferroni correction was used for pairwise comparison. Pearson partial correlation analysis was used to analyze the correlation between dFCD values of brain regions with statistically significant differences and FTND scores. Results:Differences in dFCD among light smoking addiction group, heavy smoking addiction group and control group were mainly distributed in the right orbitofrontal cortex, left caudate nucleus, right putamen, bilateral calcarine sulcus cortex, right cuneus, left parahippocampal gyrus, left precuneus, left middle temporal gyrus and bilateral thalamus (GRF corrected, voxel level P<0.005, cluster level P<0.01). Compared with the control group, both the light and heavy smoking addiction groups showed decreased dFCD in the bilateral calcarine sulcus cortex, right cuneus and left precuneus, as well as increased dFCD in the right orbitofrontal cortex, right putamen, left caudate nucleus and left thalamus (Bonferroni corrected, P<0.05). Compared with the control group, the heavy smoking addiction group showed increased dFCD in the right thalamus, and the light smoking addiction group showed decreased dFCD in the left middle temporal gyrus (Bonferroni corrected, P<0.001). Compared with the light smoking addiction group, the heavy smoking addiction group showed increased dFCD in the left middle temporal gyrus and right thalamus, and decreased dFCD in the left parahippocampal gyrus (Bonferroni corrected, P<0.05). The mean value of dFCD in the right thalamus was positively correlated with FTND scores in smoking addiction patients ( r=0.227, P=0.014), and the mean value of dFCD in the right thalamus of the heavy smoking addiction subgroup was positively correlated with FTND scores ( r=0.323, P=0.013). There was no correlation between FTND scores and dFCD in the right thalamus of the light smoking addiction group ( P>0.05). Conclusion:There are changes of neural activity in brain regions related to smoking behaviors among people with different severity of smoking addiction, and smoking behaviors of people with heavy smoking addiction tend to be habitual compared with those with light smoking addiction.
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Objective:To investigate the regional homogeneity (ReHo) among the major depressive disorder patients without mixed features (MDD noMF), major depressive disorder with mixed features (MMF), bipolar disorder with mixed features (BMF) and bipolar disorder patients without mixed features (BD noMF) patients, and to explore the brain activity and functional connectivity patterns of the MMF and BMF patients. Methods:This was a cross-sectional study. The MDD noMF patients (MDD noMF group), MMF patients (MMF group), BMF patients (BMF group), BD noMF patients (BD noMF group), and age-and gender-matched healthy controls (HC group) were recruited from Beijing Anding Hospital, Capital Medical University between April, 2021 and June, 2022. All the participants underwent resting-state functional MRI scanning. The ReHo values was computed with the DPABI software based on the MATLAB. Firstly, the difference in ReHo among the patients with MDD noMF, MMF, BMF, BD noMF and HC group were estimated by the analysis of covariance and the post-hoc method (LSD or Games-Howell). And then, the brain regions with significant different ReHo values were selected as the seeds to calculate the functional connectivity with the whole brain. Results:A total of 29 cases in the MDD noMF group, 24 cases in the MMF group, 26 cases in the BMF group, 29 cases in the BD noMF group, and 42 in the HC group were included. The differences in ReHo values in the left fusiform and the left precuneus of the 5 groups were statistically significant ( P<0.05). Among of them, the ReHo values of the left fusiform were lower in the MMF, BMF and BD noMF groups compared with the HC group ( P<0.05), while the ReHo values of the left precuneus in MDD noMF, MMF, BMF and BD noMF groups were higher than that in the HC group ( P<0.05). The ReHo value of the left fusiform was lower in the MMF group compared with the MDD noMF group ( P=0.001); the ReHo value of the left fusiform was lower in the BMF group compared with the MDD noMF and BD noMF groups ( P<0.05). The functional connectivity between the left fusiform and vermis, left insula, right putamen, and left medial superior frontal gyrus, and functional connectivity between the left precuneus and right superior frontal gyrus (dorsolateral) showed significant difference among the MDD noMF, MMF, BMF, BD noMF and HC groups ( P<0.05). Compared with HC group, MDD noMF, MMF, BD noMF groups showed higher functional connectivity between the left fusiform and the vermis, and MDD noMF, MMF, BMF, BD noMF group showed higher functional connectivityy between the the left fusiform and the left insula, left medial superior frontal gyrus and right putamen ( P<0.05). Compared with the MDD noMF group, the MMF, BMF and BD noMF groups showed higher functional connectivity between the left fusiform and the left insula ( P<0.05). Compared with the MDD noMF group, the BMF and BD noMF groups had higher functional connectivity between the left fusiform and the left medial superior frontal gyrus ( P<0.05). The BMF group showed higher functional connectivity of the left fusiform with the right putamen than the MDD noMF and BD noMF groups. Additonally, the BMF and BD noMF groups showed higher functional connectivity between the left precuneus and the right superior frontal gyrus (dorsolateral) than HC, MDD noMF and MMF groups ( P<0.05). Conclusions:MMF and BMF patients have local abnormalities of functional activity synchronization in the left fusiform and precuneus and abnormal functional connectivity patterns with multiple brain regions. MMF and BMF patients have specific neuroimaging features compared to MDD noMF or BD noMF patients and also share similar neuroimaging pathogenesis.