ABSTRACT
Novelty and appropriateness are two fundamental components of creativity. However, the way in which novelty and appropriateness are separated at behavioral and neural levels remains poorly understood. In the present study, we aim to distinguish behavioral and neural bases of novelty and appropriateness of creative idea generation. In alignment with two established theories of creative thinking, which respectively, emphasize semantic association and executive control, behavioral results indicate that novelty relies more on associative abilities, while appropriateness relies more on executive functions. Next, employing a connectome predictive modeling (CPM) approach in resting-state fMRI data, we define two functional network-based models-dominated by interactions within the default network and by interactions within the limbic network-that respectively, predict novelty and appropriateness (i.e., cross-brain prediction). Furthermore, the generalizability and specificity of the two functional connectivity patterns are verified in additional resting-state fMRI and task fMRI. Finally, the two functional connectivity patterns, respectively mediate the relationship between semantic association/executive control and novelty/appropriateness. These findings provide global and predictive distinctions between novelty and appropriateness in creative idea generation.
Subject(s)
Creativity , Executive Function , Magnetic Resonance Imaging , Semantics , Humans , Executive Function/physiology , Male , Female , Adult , Young Adult , Connectome , Brain/physiology , Brain/diagnostic imagingABSTRACT
Herein, a highly novel and effective electrochemiluminescence (ECL) sensor based on metal-organic framework (MOF, HKUST-1) derived CuO nanoneedles (HKUST-1 derived CuO NNs), gold nanoparticles (AuNPs) and TiO2 was developed for ultrasensitive detection of catechol and luteolin. The HKUST-1 derived CuO NNs were employed as luminophore for the first time, which were successfully fabricated by using HKUST-1 as precursor. The results revealed that the HKUST-1 derived CuO NNs exhibit excellent ECL activity ascribed to its abundant active site and the high specific surface area, thus obviously promoting the separation and transfer of charge and further improving the current density of ECL sensor. To binary-amplify the signal of the ECL sensor, the AuNPs and TiO2 nano-materials with good biocompatibility, great electron transport efficiency and high catalytic activity were used as co-reaction accelerators in the ECL process. Dependent on the above brilliant strategy, the proposed ECL sensor achieved wide linear ranges from 3 × 10-9 - 1 × 10-4 M for catechol and 1 × 10-8 - 2 × 10-4 M for luteolin, with the detection limits of 1.5 × 10-9 M for catechol and 5.3 × 10-9 M for luteolin, respectively. Furthermore, the ECL sensor exhibited outstanding selectivity, repeatability, stability and obtained great feedback on determination of catechol and luteolin in actual samples. The method not only filled a gap in the ECL application of MOF-derived materials but also provided a novel sight for design other highly efficient luminescent materials.
ABSTRACT
Internet addiction symptomatology (IAS) is characterized by persistent and involuntary patterns of compulsive Internet use, leading to significant impairments in both physical and mental well-being. Here, a connectome-based predictive modeling approach was applied to decode IAS from whole-brain resting-state functional connectivity in healthy population. The findings showed that IAS could be predicted by the functional connectivity between prefrontal cortex with the cerebellum and limbic lobe and connections of the occipital lobe with the limbic lobe and insula lobe. The identified edges associated with IAS exhibit generalizability in predicting IAS within an independent sample. Furthermore, we found that the unique contributing network, which predicted IAS in contrast to the prediction networks of alcohol use disorder symptomatology (the range of symptoms and behaviors associated with alcohol use disorder), prominently comprised connections involving the occipital lobe and other lobes. The current data-driven approach provides the first evidence of the predictive brain features of IAS based on the organization of intrinsic brain networks, thus advancing our understanding of the neurobiological basis of Internet addiction disorder (IAD) susceptibility, and may have implications for the timely intervention of people potentially at risk of IAD.
Subject(s)
Alcoholism , Connectome , Humans , Internet Addiction Disorder , Magnetic Resonance Imaging , Brain/diagnostic imagingABSTRACT
Emotions rely on bodily states, and perceiving the emotions of others depends on awareness of one's own emotional state. However, the intercorrelations among interoception, alexithymia, and empathy are not well understood, and the neural mechanisms behind this connection are also largely unknown. To address these issues, 297 college students participated in this study, completing measures of interoceptive sensibility (IS), empathy and alexithymia and undergoing resting-state fMRI scans. The functional connectivity of the amygdala was analysed to identify the neural substrates of alexithymia, and mediation analyses were conducted to examine the mediation effect of alexithymia and alexithymia-specific amygdala functional connectivity on the relationship between IS and empathy. The results showed that higher levels of IS were associated with increased cognitive empathy through weakened alexithymia. Functional connectivity analysis indicated that right basolateral amygdala (BLA)-left precuneus connectivity was negatively related to alexithymia, while right BLA-left precentral gyrus connectivity was positively related to alexithymia. Furthermore, right BLA-left precuneus connectivity was found to mediate the impact of interoception on cognitive empathy. In conclusion, this study provides valuable insights into the relationships among IS, alexithymia, and empathy. The right BLA-left precuneus connectivity may serve as a shared neural substrate between interoception and cognitive empathy.
Subject(s)
Affective Symptoms , Basolateral Nuclear Complex , Humans , Affective Symptoms/diagnostic imaging , Affective Symptoms/psychology , Empathy , Emotions , Magnetic Resonance Imaging , CognitionABSTRACT
@#[摘 要] 目的:探讨miR-3612靶向信号素(SEMA)4C对肝细胞癌细胞增殖与侵袭能力的影响。方法: 收集2020年5月至2021年9月间在皖南医学院第一附属医院弋矶山医院手术切除的肝细胞肝癌的40对癌组织和相应癌旁组织,常规培养肝细胞癌Hep3B和Huh7细胞,将其分为对照组、miR-3612 mimics-NC组、miR-3612 mimics组、miR-3612 inhibitor-NC组、miR-3612 inhibitor组、si-NC组、si-SEMA4C组、mimics-NC+pcDNA-NC组、miR-3612 mimics+pcDNA-NC组和miR-3612 mimics+pcDNA-SEMA4C组,用转染试剂将相应的核酸和质粒转染各组细胞。qPCR法检测miR-3612和SEMA4C mRNA在肝细胞癌组织和Hep3B和Huh7细胞中的表达,双荧光素酶报告基因实验和免疫共沉淀(RIP)实验验证miR-3612与SEMA4C的结合及调控关系,qPCR法和WB法检测转染后各组Hep3B和Huh7细胞中miR-3612、SEMA4C mRNA和蛋白的表达,CCK-8法、细胞划痕实验和Transwell小室实验分别检测各组Hep3B和Huh7细胞的增殖、迁移和侵袭能力。结果: miR-3612在肝细胞癌组织和Hep3B和Huh7细胞中呈低表达(P<0.001),而SEMA4C则呈高表达(P<0.001),过表达miR-3612可抑制Hep3B和Huh7细胞的增殖、迁移、侵袭和vimentin、SEMA4C蛋白的表达,促进E-cadherin蛋白的表达(P<0.05或P<0.01或P<0.001),敲低miR-3612则促进Hep3B和Huh7细胞的增殖、迁移、侵袭和SEMA4C蛋白的表达(P<0.05或P<0.01或P<0.001)。双荧光素酶报告基因实验和RIP实验证实miR-3612与SEMA4C可直接结合(P<0.001),miR-3612与SEMA4C的表达呈负相关也间接证明了这一点(P<0.001)。敲减SEMA4C能明显抑制Hep3B、Huh7细胞的增殖、侵袭和迁移能力(P<0.05或P<0.01或P<0.001),过表达SEMA4C可逆转过表达miR-3612对Hep3B和Huh7细胞增殖、迁移、侵袭和EMT的抑制作用(P<0.05或P<0.01或P<0.001)。结论: miR-3612通过调控SEMA4C表达影响Hep3B和Huh7细胞的恶性生物学行为,miR-3612有望成为临床肝细胞癌治疗的潜在靶点。
ABSTRACT
OBJECTIVES: To create an educational program and provide a valid, evidence-based course for ultrasound-based tip location during placement of PICC-port for specialized nurses. MATERIALS AND METHODS: We designed three phases for program development. Phase 1: summarizing the evidences as a knowledge foundation; Phase 2: developing an educational program for ultrasound-based tip location during placement of PICC-port; Phase 3: expert panel to validate the developed program. RESULTS: The educational program was composed of five parts and 12 lessons, with three lessons each devoted to basic knowledge, practice, and testing, respectively. First, the criteria for defining an expert trainer is determined. Second, some basic conditions are confirmed. Third, the image acquisition windows of transthoracic echocardiographic are recommended. Fourth, the knowledge about ultrasound-based tip location is categorized. Fifth, the procedures for ultrasound-based tip location combined with "bubble test" were listed. The program's content was verified by experts and found to have a validity coefficient of 0.95. CONCLUSION: The program, encompassing theoretical and practical components, as well as assessment items, can be applied in specialized nursing education and skills training, and it enhances nurses' competence in accurately identifying the tip location during the placement of PICC-ports and other central venous access implants.
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BACKGROUND: Passive coping style (CS) and perceived stress play significant roles as influencing factors in the development of anxiety. However, the underlying neurobiological mechanism linking passive CS and perceived stress to anxiety susceptibility remains elusive. Thus, we aimed to investigate the relationships among passive CS, brain functional connectivity, perceived stress, and anxiety in young adults. METHODS: Data from the longitudinal Gene-Brain-Behavior Project(GBB) and Southwest University Longitudinal Imaging Multimodal Project(SLIM) were used. We confirmed the relationship among anxiety, passive CS and perceived stress. Then, we investigated the mediated functional connectivity between passive CS and perceived stress, and used these functional connections to predict present anxiety and follow-up anxiety one year later. RESULTS: Anxiety scores were significantly positively correlated with passive CS and perceived stress. At the brain network level, connections within the default mode network (DMN) and between the somatomotor network (SMN) and subcortical network (SUN) mediated the relationship between passive CS and perceived stress. Furthermore, present anxiety and follow-up anxiety one year later could be predicted by these mediated functional connections. Nodes with greater predictive contribution were mainly located in the left anterior cingulate gyrus (ACC), left inferior parietal gyrus (IPG), right superior frontal gyrus (SFG), and left middle frontal gyrus (MFG), mainly distributed on the DMN. CONCLUSION: These findings demonstrated that the mediated neurobiological mechanisms between passive CS and perceived stress could be used to predict present and future anxiety, which enhance understanding of the neurobiological basis of anxiety susceptibility in this passive CS and perceived stress and may have implications for early preventing and intervening mental disorders.
Subject(s)
Anxiety Disorders , Anxiety , Young Adult , Humans , Adaptation, Psychological , Brain/diagnostic imaging , Stress, PsychologicalABSTRACT
Self-control is a core psychological construct for human beings and it plays a crucial role in the adaptation to society and achievement of success and happiness for individuals. Although progress has been made in behavioral studies examining self-control, its neural mechanisms remain unclear. In this study, we employed a machine-learning approach-relevance vector regression (RVR) to explore the potential predictive power of intrinsic functional connections to trait self-control in a large sample (N = 390). We used resting-state functional MRI (fMRI) to explore whole-brain functional connectivity patterns characteristic of 390 healthy adults and to confirm the effectiveness of RVR in predicting individual trait self-control scores. A set of connections across multiple neural networks that significantly predicted individual differences were identified, including the classic control network (e.g., fronto-parietal network (FPN), salience network (SAL)), the sensorimotor network (Mot), and the medial frontal network (MF). Key nodes that contributed to the predictive model included the dorsolateral prefrontal cortex (dlPFC), middle frontal gyrus (MFG), anterior cingulate and paracingulate gyri, inferior temporal gyrus (ITG) that have been associated with trait self-control. Our findings further assert that self-control is a multidimensional construct rooted in the interactions between multiple neural networks.
Subject(s)
Brain Mapping , Brain , Adult , Humans , Brain/diagnostic imaging , Frontal Lobe , Gyrus Cinguli , Individuality , Neural Pathways , Magnetic Resonance Imaging/methodsABSTRACT
BACKGROUND: Patients with major depressive disorders (MDD) have abnormalities in the frontal-limbic structures of the brain. Childhood trauma is a risk factor for both structural brain alterations and MDD. However, the relationships among the three have not been confirmed. METHODS: Sixty-four patients with MDD and sixty-one healthy controls (HC) were checked by using MRI, the Hamilton Depression Scale (HAMD) and Childhood Trauma Questionnaire (CTQ). Voxel-based morphometry (VBM) was used to compare gray matter volume (GMV) differences between the two groups. Moreover, partial correlation and mediation analyses were conducted to test for potential associations between CTQ scores, different GMV, and clinical variables. RESULTS: Compared to the HC group, the MDD patients showed decreased GMV in the right middle frontal gyrus (rMFG) and right precentral gyrus (rPreCG). In the patient group, reduced GMV in rMFG was associated with CTQ scores (r = -0.30, P = 0.019) and HAMD scores (r = -0.53, P < 0.001). Finally, in the patient group, mediation analysis revealed that the indirect effect of rMFG GMV in CTQ scores and HAMD scores was 0.115 and the proportion of indirect effect to total effect was 23.86%. LIMITATIONS: This study used a cross-sectional collection, and it is unclear whether at the longitudinal level the brain GMV mediates the relationship between childhood trauma and depression. CONCLUSIONS: Abnormalities in the frontal GMV were presented in the MDD patients. It is possible that childhood traumatic experiences cause inefficient GMV and ultimately lead to an increased susceptibility to depression.
Subject(s)
Adverse Childhood Experiences , Depressive Disorder, Major , Brain/diagnostic imaging , Cross-Sectional Studies , Depressive Disorder, Major/diagnostic imaging , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance ImagingABSTRACT
BACKGROUND: Individuals sometimes continuously centered their attention on the same thoughts. When such process tends to be negative and self-referential, we delineated this mental state as rumination, which may undermine body's perception of endogenous signal, but little is known about the certainly relationship and the potential neural mechanisms. METHODS: Rumination and interoceptive sensibility were measured by questionnaires, then insula-related network of rumination dimensions were examined by the whole brain resting-state functional connectivity (FC) in 479 college students, and whether the insula-based network mediate the relationship between rumination and interoceptive sensibility were tested. RESULTS: Rumination (including brooding reflective pondering) and interoceptive sensibility showed positive correlations. The neural mechanisms of brooding and reflective pondering were all related to the insula-networks, to be specific, brooding was positively correlated with the FC between the left posterior insula (PI) and left parahippocampal gyrus/ hippocampus (PHG), reflective pondering were positively correlated with the FC between the insula subregion and the dorsolateral prefrontal cortex. Moreover, the relationship between brooding and interoceptive sensibility was mediated by the FC between left PI and left PHG. LIMITATIONS: We just tested the relationship between rumination and interoceptive sensibility at a cross-sectional level, but it is unclear that whether the longitudinal relationship would be predicted by the related network. CONCLUSIONS: Our findings provided new insights into neural mechanisms of brooding and reflective pondering, also the integration of brooding and interoceptive sensibility. The insula-related networks may contribute crucially to rumination and interoception.
Subject(s)
Dorsolateral Prefrontal Cortex , Interoception , Brain Mapping , Cross-Sectional Studies , Humans , Magnetic Resonance ImagingABSTRACT
Background: The evaluation of treatment response to antidepressant therapy commonly depends on neuropsychologic assessments, as there are currently no suitable biomarkers. Previous research has identified a panel of increased proteins in patients with major depressive disorder (MDD), including antithrombin III (ATIII), as potential biomarkers of depression. Methods: A total of 90 MDD patients were recruited. Of these, 74 patients received occipital repetitive transcranial magnetic stimulation (rTMS) as individualized, standard, or sham treatment for 5 days, and underwent the complete procedure, including clinical assessments, blood collection, and protein measurement. Results: After treatment, ATIII was significantly decreased in both the individualized and standard groups (both p < 0.001) relative to the sham group. In the individualized group, reduction in ATIII was associated with improvements in several neuropsychological assessments. Furthermore, ATIII at baseline in the standard group and after individualized rTMS showed good performance for evaluating or predicting the response to five-day treatment (AUC = 0.771, 95% CI, 0.571-0.971; AUC = 0.875, 95% CI, 0.714-1.000, respectively) and remission at follow-up (AUC = 0.736, 95% CI, 0.529-0.943; AUC = 0.828, 95% CI, 0.656-1.000, respectively). Lastly, both baseline ATIII and change in ATIII showed good predictive value for the 24-item Hamilton Depression Rating Scale at follow-up (p = 0.024 and 0.023, respectively). Conclusion: Our study revealed a reduction in ATIII after occipital rTMS in MDD patients and a relationship between change in ATIII and therapeutic response. Taken together, these findings provide evidence for the potential of ATIII as a biomarker for the evaluation and prediction of antidepressive effects.
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In recent years, more and more studies on disgust have shown the association between disgust and various psychopathologies. Revealing the spontaneous brain activity patterns associated with disgust sensitivity from the perspective of individual differences will give us an insight into the neurologic nature of disgust and its psychopathological vulnerability. Here, we used two modal brain imaging techniques (resting fMRI and resting EEG) to reveal spontaneous brain activity patterns closely related to disgust sensitivity. The amplitude of low-frequency fluctuation results showed that disgust sensitivity is negatively correlated with the spontaneous activity of the right cerebellum crus II and positively correlated with the spontaneous activity of the right superior frontal cortex, which are inhibition-related brain regions. Furthermore, the microstate results of rest EEG indicated that the corrected duration, occurrence rate, and contribution of Class C, which is related to the anterior default mode network and is considered to be related to subjective representation of one' own body by combining interoceptive information with affective salience, were significantly positively correlated with the disgust sensitivity level. This data-driven approach provides the first evidence on the intrinsic brain features of disgust sensitivity based on two resting-state brain modalities. The results represent an initial effort to uncover the neurological basis of disgust sensitivity and its connection to psychopathology.
Subject(s)
Brain Mapping , Cerebellum/physiology , Disgust , Electroencephalography , Magnetic Resonance Imaging , Prefrontal Cortex/physiology , Adolescent , Adult , Cerebellum/diagnostic imaging , Default Mode Network/diagnostic imaging , Default Mode Network/physiology , Female , Humans , Male , Nerve Net/diagnostic imaging , Nerve Net/physiology , Prefrontal Cortex/diagnostic imaging , Young AdultABSTRACT
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is characterized by delayed P300 latency and reduced grey matter (GM) volume, respectively. The relationship between the features in aMCI is unclear. This study was to investigate the relationship between the altered P300 latency and the GM volume in aMCI. METHODS: Thirty-four aMCI and 34 well-matched normal controls (NC) were studied using electroencephalogram during a visual oddball task and scanned with MRI. Both tests were finished in the same day. RESULTS: As compared with the NC group, the aMCI group exhibited delayed P300 latency in parietal cortex and reduced GM volumes in bilateral temporal pole and left hippocampus/parahippocampal gyrus. A remarkable negative correlation was found between delayed P300 latency and reduced left hippocampal volume only in the aMCI group. Interestingly, the mediating analysis found P300 latency significantly mediated the association between right supramarginal gyrus volume and information processing speed indicated by Stroop Color and Word Test A scores. CONCLUSIONS: The association between delayed P300 latency and reduced left hippocampal volume in aMCI subjects suggests that reduced left hippocampal volume may be the potential structural basis of delayed P300 latency.
Subject(s)
Cognitive Dysfunction , Humans , Cognitive Dysfunction/diagnostic imaging , Hippocampus/diagnostic imaging , Gray Matter/diagnostic imaging , Magnetic Resonance Imaging , Temporal LobeABSTRACT
To determine whether repetitive transcranial magnetic stimulation (rTMS) of the visual cortex (VC) provides effective and well-tolerated treatment and whether magnetic resonance imaging (MRI) measures functional change of the VC as a biomarker of therapeutic effect in major depressive disorder (MDD), we performed a sham-controlled, double-blind, randomized, three-arm VC rTMS treatment study in 74 MDD patients. Neuronavigated rTMS (10 Hz, 90% of resting motor threshold, 1,600 pulses over 20 min twice per day) was performed over the VC for five days. Clinical outcome was measured by Hamilton Depression Rating Scale (HAMD-24) at days 0, 1, 3, 5 and after terminating rTMS, with follow-up at four weeks. MRI was measured at days 0 and 5. The individualized group exhibited the greatest change in HAMD-24 scores after VC rTMS for 5 days (F=5.53, P=0.005), which were maintained during follow-up period (F=4.22, P=0.016). All patients reported good tolerance. Changes in VC task-related functional MRI correlated with symptomatic reduction in the individualized group. Treatment reduced the initially abnormal increase in resting state functional connectivity from the VC to the pre/subgenual anterior cingulate cortex at day 5, especially in the individualized group. We demonstrated therapeutic potential and good tolerance of VC rTMS in MDD patients, indicated by biomarkers of fMRI measurement.
Subject(s)
Depressive Disorder, Major/therapy , Magnetic Resonance Imaging/methods , Neuronavigation/methods , Precision Medicine/methods , Transcranial Magnetic Stimulation/methods , Visual Cortex/diagnostic imaging , Adult , Dizziness/etiology , Double-Blind Method , Female , Gyrus Cinguli/diagnostic imaging , Headache/etiology , Humans , Male , Middle Aged , Pain/etiology , Transcranial Magnetic Stimulation/adverse effects , Treatment Outcome , Young AdultABSTRACT
BACKGROUND: Reduced plasma circular RNA DYM (circDYM) has been detected in patients with major depressive disorder (MDD). Mechanism research has demonstrated that circDYM, acting as a microRNA-9 sponge, suppressed microglial activation by increasing Heat Shock Protein 90 ubiquitination, indicating that circDYM could be a potential biomarker of MDD. METHODS: Thirty-two normal controls (NCs) and 60 MDD patients were recruited. Enrolled patients were randomly allocated to the real or sham repetitive transcranial magnetic stimulation (rTMS) group, followed by continuous five-day visual cortical rTMS or sham treatment. All participants underwent multidimensional neuropsychological assessments and detection of circDYM levels. RESULTS: Initial scores on all emotional and psychosocial assessments in MDD were significantly different from those of NCs. As compared with the NC group, baseline plasma circDYM levels in MDD patients decreased remarkably (p=0.030) and showed significant positive correlations with the scores of the 24-item Hamilton Depression Rating Scale (r=0.318, p=0.031) and retardation subscale (r=0.323, p=0.029). The increase in circDYM was noteworthy after rTMS (p=0.006), while downregulation with no statistical significance was observed after sham treatment (p=0.170). LIMITATIONS: It was not estimated on the correlation between plasma circDYM levels and long-term efficacy of rTMS. The mechanism of upregulated circDYM expression in response to visual cortical rTMS remained unrevealed, and the sample size was relatively small. CONCLUSIONS: This study verified the reduced circDYM levels in MDD patients, and further determined the upregulated circDYM expression after rTMS treatment, revealing the potential of circDYM as a biomarker for MDD diagnosis and antidepressant effect of visual cortical rTMS.
Subject(s)
Depressive Disorder, Major , Antidepressive Agents/therapeutic use , Depressive Disorder, Major/drug therapy , Depressive Disorder, Major/therapy , Humans , Plasma , RNA, Circular , Transcranial Magnetic Stimulation , Treatment OutcomeABSTRACT
OBJECTIVES: Anxiety is a very common symptom and closely related to obsessive-compulsive symptoms in obsessive-compulsive disorder (OCD). However, the association between anxiety and obsessive-compulsive symptoms at the hippocampus network level remains unclear. METHODS: This study enrolled 42 patients with OCD and 42 healthy controls (HCs), who underwent resting-state functional magnetic resonance imaging (fMRI) and clinical evaluation. Multiple linear regression analysis was performed to investigate the behavioural significance and interactive effects of obsessive-compulsive and anxiety symptoms on the hippocampus functional connectivity (HFC). The mediation analysis model was used to explore whether the hippocampus functional connectivity (FC) network indirectly mediated the relationship between obsessive-compulsive symptoms and anxiety. RESULTS: Results showed that the FCs with the cerebellum, middle temporal gyrus (MTG) and anterior cingulate gyrus (ACG) were increased in the hippocampus FC network in patients with OCD compared with those in HCs. The regions of interactive effects between anxiety and obsession, which are mainly located in the prefrontal cortex and MTG, were positively correlated. The mediation effect is 0.018 between obsession and anxiety on the HFC networks in patients with OCD. CONCLUSIONS: The FC between the hippocampus and MTG plays a key role in the relationship between anxiety and obsession.
Subject(s)
Obsessive-Compulsive Disorder , Adult , Anxiety , Brain Mapping , Hippocampus/diagnostic imaging , Humans , Magnetic Resonance Imaging , Obsessive Behavior , Obsessive-Compulsive Disorder/diagnostic imagingABSTRACT
The occipital lobe has been implicated in anxiety disorder, however, its contributions to anxiety in healthy adults remain less clear. We conducted a resting-state functional magnetic resonance imaging study to explore the relationship between the amplitude of low-frequency fluctuation (ALFF), functional connectivity (FC), and state anxiety level in the healthy population. First, the results showed that the ALFF of the left inferior occipital gyrus (IOG) was negatively correlated with state anxiety. Furthermore, state anxiety was positively correlated with the FC between the left IOG and the right medial superior frontal gyrus and right cerebellum 8 area and negatively correlated with the FC between the left IOG and the left superior parietal gyrus. These results indicate that the occipital lobe of healthy individuals is involved in processing of anxiety in part through a frontal-parietal network.
Subject(s)
Anxiety/diagnostic imaging , Magnetic Resonance Imaging/methods , Nerve Net/diagnostic imaging , Nerve Net/physiology , Occipital Lobe/diagnostic imaging , Occipital Lobe/physiology , Adolescent , Adult , Anxiety/psychology , Cross-Sectional Studies , Female , Healthy Volunteers , Humans , Male , Young AdultABSTRACT
Background: Altered resting-state functional connectivity of the cerebellum in obsessive-compulsive disorder (OCD) has been previously reported. However, the previous study investigating cerebellar-cerebral functional connectivity relied on a priori-defined seeds from specific networks. In this study, we aimed to explore the connectivity alterations of the cerebellum in OCD under resting-state conditions with a hypothesis-free approach. Methods: Thirty patients with OCD and 26 healthy controls (HCs) underwent functional magnetic resonance imaging (fMRI) scanning at resting state. Regional cerebral function was evaluated by measuring the fraction of amplitude of low-frequency fluctuation (fALFF). Regions with mean fALFF (mfALFF) alterations were used as seeds in seed correlation analysis (SCA). An independent samples t test was used to compare the differences in mfALFF and functional connection (FC) between the two groups. Pearson correlation analysis was performed to identify the association between functional neural correlates and OCD symptom severity evaluated using the Yale-Brown Obsessive Compulsive Scale (Y-BOCS). Results: Compared with the HC group, the OCD group showed significantly increased mfALFF values in bilateral cerebellar. The results of FC analysis showed weakened connectivity among the left Crus II, lobule VIII, and right striatum and between the right lobule VIII and the right striatum, and cingulate in the OCD group compared with the HC group. Some of the abovementioned results were associated with symptom severity. Conclusions: OCD patients showed abnormal spontaneous cerebellar activity and weakened functional connectivity between the cerebellum and the cortico-striato-thalamo-cortical (CSTC) circuit (striatum and cingulate), suggesting that the cerebellum may play an essential role in the pathophysiology of OCD.