Brain Function Disorders Research Articles

Atypical gut microbiota composition in a mouse model of developmental stuttering.

Developmental stuttering is a complex neurodevelopmental disorder characterized by disfluent speech. It has been associated with mutations in genes involved in lysosomal enzyme trafficking. Mice with mutations in one such gene, Gnptab, exhibit atypical vocalizations analogous to stuttering in humans. This mouse model has enabled the study of various molecular mechanisms related to the disorder. Simultaneously, an increasing number of reports have suggested the role of gut microbiota in altered brain function and development in neurological disorders. In this study, we compared gut microbiota profiles from Gnptab mutant mice to wildtype control mice. Microbiome analysis demonstrated a distinct microbiota profile in Gnptab mutant mice. The most significant alteration was an increased relative abundance of Akkermansia, a genus of mucin degrading bacteria, which has previously been associated with multiple neurological disorders. Moreover, the altered microbiota profile of these mice was predicted to result in differences in abundance of several metabolic pathways, including short chain fatty acid and lipopolysaccharide synthesis. These pathways may play a role in the onset, progression and persistence of developmental stuttering. This is the first study to show a potential link between developmental stuttering and changes in the gut microbiota, laying the groundwork for a new research direction.

Cognitive synaptopathy: synaptic and dendritic spine dysfunction in age-related cognitive disorders.

Cognitive impairment is a leading component of several neurodegenerative and neurodevelopmental diseases, profoundly impacting on the individual, the family, and society at large. Cognitive pathologies are driven by a multiplicity of factors, from genetic mutations and genetic risk factors, neurotransmitter-associated dysfunction, abnormal connectomics at the level of local neuronal circuits and broader brain networks, to environmental influences able to modulate some of the endogenous factors. Otherwise healthy older adults can be expected to experience some degree of mild cognitive impairment, some of which fall into the category of subjective cognitive deficits in clinical practice, while many neurodevelopmental and neurodegenerative diseases course with more profound alterations of cognition, particularly within the spectrum of the dementias. Our knowledge of the underlying neuropathological mechanisms at the root of this ample palette of clinical entities is far from complete. This review looks at current knowledge on synaptic modifications in the context of cognitive function along healthy ageing and cognitive dysfunction in disease, providing insight into differential diagnostic elements in the wide range of synapse alterations, from those associated with the mild cognitive changes of physiological senescence to the more profound abnormalities occurring at advanced clinical stages of dementia. I propose the term "cognitive synaptopathy" to encompass the wide spectrum of synaptic pathologies associated with higher brain function disorders.

Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI.

The superficial white matter (SWM) consists of numerous short-range association fibers connecting adjacent and nearby gyri and plays an important role in brain function, development, aging, and various neurological disorders. Diffusion MRI (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the SWM. However, detailed imaging of the small, highly-curved fibers of the SWM is a challenge for current clinical and research dMRI acquisitions. This work investigates the efficacy of mapping the SWM using in vivo ultra-high-resolution dMRI data. We compare the SWM mapping performance from two dMRI acquisitions: a high-resolution 0.76-mm isotropic acquisition using the generalized slice-dithered enhanced resolution (gSlider) protocol and a lower resolution 1.25-mm isotropic acquisition obtained from the Human Connectome Project Young Adult (HCP-YA) database. Our results demonstrate significant differences in the cortico-cortical anatomical connectivity that is depicted by these two acquisitions. We perform a detailed assessment of the anatomical plausibility of these results with respect to the nonhuman primate (macaque) tract-tracing literature. We find that the high-resolution gSlider dataset is more successful at depicting a large number of true positive anatomical connections in the SWM. An additional cortical coverage analysis demonstrates significantly higher cortical coverage in the gSlider dataset for SWM streamlines under 40 mm in length. Overall, we conclude that the spatial resolution of the dMRI data is one important factor that can significantly affect the mapping of SWM. Considering the relatively long acquisition time, the application of dMRI tractography for SWM mapping in future work should consider the balance of data acquisition efforts and the efficacy of SWM depiction.

Relationship between Lipid and Blood Glucose Levels with Stroke Risk in Dupak Surabaya

Background: Stroke is a syndrome characterized by rapidly developing symptoms and/or clinical signs in the form of focal or global brain functional disorders lasting more than 24 hours which are not caused by causes other than vascular. Stroke is the number one cause of disability and the main cause of death in Indonesia (19.42% of total deaths). Dyslipidemia and diabetes mellitus are two-fold risk factors for stroke.This research is to determine the relationship between lipids and blood glucose and a high risk of stroke. Methods: This research uses descriptive analytical methods with a cross sectional approach. The population is residents in Dupak Surabaya. The sampling method is random sampling technique. The total research sample was 53 participants. The statistical test used is Chi Square. Result: Statistical results show that there is no relationship between high cholesterol levels and the risk of stroke and there is a relationship between high triglyceride and blood sugar levels and the risk of stroke.Conclusion:This research concluded that there was a significant relationship between high levels of triglycerides and blood glucose and the risk of stroke and there was no significant relationship between high cholesterol levels and the risk of stroke. This lack of significant association could be due to the heterogeneous population and the presence of previous anti-cholesterol medication.

Implementasi Range Of Motion (ROM) Pasif Untuk Meningkatkan Mobilitas Fisik Pada Pasien Dengan Stroke Hemoragik Di Rumah Sakit Vita Insani Pematangsiantar

Stroke is a functional brain disorder in the form of death of neurological nerve cells due to disruption of blood flow in one part of the brain. Hemorrhagic stroke is a ruptured blood vessel in the brain which results in intracranial bleeding. The prevalence of stroke cases every year is 13.7 million and around 5.5 million deaths occur due to stroke. One of the nursing problems that arises in cases of hemorrhagic stroke is impaired physical mobility. Efforts that can be made to overcome physical mobility disorders are passive range of motion (ROM). This research design uses the Case Study method. The sampling method used is purposive sampling. The samples taken were 2 respondents, namely patients with hemorrhagic stroke who were hospitalized at Vita Insani Hospital, Pematangsiantar. The results showed that there was an increase in mobility experienced by hemorrhagic stroke patients, a decrease in muscle strength, Mr. U scales (3) to (4) and in Mr. S scales (2) to (3). Passive range of motion (ROM) is effective in cases of hemorrhagic stroke in increasing physical mobility. Nurses are expected to be able to accompany patients to apply passive range of motion (ROM) in an effort to increase physical mobility in hemorrhagic stroke patients.

Secondary parkinsonism associated with focal brain lesions.

Focal imaging abnormalities in patients with parkinsonism suggest secondary etiology and require a distinctive clinical approach to diagnosis and treatment. We review different entities presenting as secondary parkinsonism associated with structural brain lesions, with emphasis on the clinical course and neuroimaging findings. Secondary parkinsonism may be due to vascular causes, hydrocephalus, space-occupying lesions, metabolic causes (including acquired hepatocerebral degeneration, diabetic uremic encephalopathy, basal ganglia calcifications, osmotic demyelination syndrome), hypoxic-ischaemic brain injury, intoxications (including methanol, carbon monoxide, cyanide, carbon disulfide, manganese poisoning and illicit drugs), infections and immune causes. The onset can vary from acute to chronic. Both uni-and bilateral presentations are possible. Rigidity, bradykinesia and gait abnormalities are more common than rest tremor. Coexisting other movement disorders and additional associated neurological signs may point to the underlying diagnosis. Neuroimaging studies are an essential part in the diagnostic work-up of secondary parkinsonism and may point directly to the underlying etiology. We focus primarily on magnetic resonance imaging to illustrate how structural imaging combined with neurological assessment can lead to diagnosis. It is crucial that typical imaging abnormalities are recognized within the relevant clinical context. Many forms of secondary parkinsonism are reversible with elimination of the specific cause, while some may benefit from symptomatic treatment. This heterogeneous group of acquired disorders has also helped shape our knowledge of Parkinson's disease and basal ganglia pathophysiology, while more recent findings in the field garner support for the network perspective on brain function and neurological disorders.

Motor improvement in Parkinson's disease patients receiving caffeine adjuvants: A double-blind randomized controlled trial in Indonesia.

Parkinson's disease (PD) manifests as a movement and brain function disorder characterized by symptoms such as resting tremors, rigidity, bradykinesia, and postural instability, leading to disability among patients. The use of psychostimulants such as caffeine has been associated with the improvement of motor symptoms in PD patients; however, studies regarding the effect of caffeine adjuvant therapy on motor function among PD patients in the Indonesian population are lacking. The aim of this study was to evaluate motor improvement as measured by the change in scores of the Movement Disorder Society - Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III) among PD patients receiving caffeine adjuvant. A double-blind randomized controlled trial (RCT) was conducted among PD patients at Dr. Soetomo General Academic Hospital and Universitas Airlangga Hospital, Surabaya, Indonesia, from April to August 2023. A total of 27 patients were enrolled and randomly assigned to an intervention (receiving caffeine adjuvant, n=15) and control group (receiving placebo, n=12). Motor improvement was measured using the UPDRS III score prior to intervention and three weeks after. The Chi-squared test was used to analyze the difference in UPDRS III scores between the two groups. Motor improvement, as demonstrated by a reduction in the UPDRS III score, was observed in patients receiving caffeine adjuvant compared to those receiving placebo (80.0% vs 16.7%; p=0.004). Regarding the safety profile, only four out of 15 (26.6%) patients treated with caffeine reported minor adverse events. These conditions improved over time during the intervention. None of the 12 patients in the placebo reported adverse events. This study provides valuable insights into the initial dosage of caffeine that improves motor function in PD patients with minimum adverse effects.

Application of artificial intelligence-based magnetic resonance imaging in diagnosis of cerebral small vessel disease.

Cerebral small vessel disease (CSVD) is an important cause of stroke, cognitive impairment, and other diseases, and its early quantitative evaluation can significantly improve patient prognosis. Magnetic resonance imaging (MRI) is an important method to evaluate the occurrence, development, and severity of CSVD. However, the diagnostic process lacks quantitative evaluation criteria and is limited by experience, which may easily lead to missed diagnoses and misdiagnoses. With the development of artificial intelligence technology based on deep learning, the extraction of high-dimensional features in imaging can assist doctors in clinical decision-making, and it has been widely used in brain function and mental disorders, and cardiovascular and cerebrovascular diseases. This paper summarizes the global research results in recent years and briefly describes the application of deep learning in evaluating CSVD signs in MRI imaging, including recent small subcortical infarcts, lacunes of presumed vascular origin, vascular white matter hyperintensity, enlarged perivascular spaces, cerebral microbleeds, brain atrophy, cortical superficial siderosis, and cortical cerebral microinfarct.

Brain functional networks and psychiatric disorders.

Brain functional networks and psychiatric disorders.

Effectiveness of Proprioceptive Neuromuscular Facilitation and Strengthening Exercise towards Increasing Strength Stroke Patient's Hand Muscles at Tani Dan Nelayan Regional General Hospital

Stroke is a functional brain disorder that occurs suddenly with focal or global clinical signs that last more than 24 hours without signs of non-vascular causes, including signs of subarachnoid hemorrhage, intracerebral hemorrhage, ischemia, or cerebral infarction. The aim of this research is to analyze the effectiveness of proprioceptive Neuromuscular Facilitation (PNF) and Strengthening Exercises to Increase Hand Muscle Strength in Stroke Patients at the Farmers and Fishermen's Hospital, Boalemo Regency. Quaisy experimental research designed two groups pre-test and post-test design. The sample was 30 people, sampling used the purposive sampling technique. Analysis was carried out using the paired t-test and independent t-test. The results of the research were that there was a difference in Hand Muscle Strength values between those given Proprietary Neuromuscular Facilitation (PNF) with Strengthening Exercise with (p-value 0.039). The conclusion of this research is the provision of Proprioceptive Neuromuscular Facilitation (PNF). better in increasing hand muscle strength values compared to the Strengthening Exercise. It is recommended that the Farmers and Fishermen's Hospital of Boalemo Regency, in providing healing to stroke patients, apply Proprioceptive Neuromuscular Facilitation and Strengthening Exercise therapy as a complementary therapy for healing stroke patients.

Multiplexed neurochemical sensing with sub-nM sensitivity across 2.25 mm2 area

Multichannel arrays capable of real-time sensing of neuromodulators in the brain are crucial for gaining insights into new aspects of neural communication. However, measuring neurochemicals, such as dopamine, at low concentrations over large areas has proven challenging. In this research, we demonstrate a novel approach that leverages the scalability and processing power offered by microelectrode array devices integrated with a functionalized, high-density microwire bundle, enabling electrochemical sensing at an unprecedented scale and spatial resolution. The sensors demonstrate outstanding selective molecular recognition by incorporating a selective polymeric membrane. By combining cutting-edge commercial multiplexing, digitization, and data acquisition hardware with a bio-compatible and highly sensitive neurochemical interface array, we establish a powerful platform for neurochemical analysis. This multichannel array has been successfully utilized in vitro and ex vivo systems. Notably, our results show a sensing area of 2.25 mm2 with an impressive detection limit of 820 pM for dopamine. This new approach paves the way for investigating complex neurochemical processes and holds promise for advancing our understanding of brain function and neurological disorders.

Repetitive Transcranial Magnetic Stimulation Reversing Abnormal Brain Function in Mood Disorders with Early Life Stress: from preclinical models to clinical applications

BackgroundEarly life stress (ELS) significantly increases the risk of mood disorders and affects the neurodevelopment of the primary cortex. HypothesisModulating the primary cortex through neural intervention can ameliorate the impact of ELS on brain development and consequently alleviate its effects on mood disorders. MethodWe induced the chronic unpredictable mild stress (CUMS) model in adolescent rats, followed by applying repetitive transcranial magnetic stimulation (rTMS) to their primary cortex in early adulthood. To assess the applicability of primary cortex rTMS in humans, we recruited individuals aged 17–25 with mood disorders who had experienced ELS and performed primary cortex rTMS on them. Functional magnetic resonance imaging (fMRI) and depression-related behavioral and clinical symptoms were conducted in both rats and human subjects before and after the rTMS. ResultsIn animals, fMRI analysis revealed increased activation in the primary cortex of CUMS rats and decrease subcortical activation. Following the intervention of primary cortex rTMS, the abnormal functional activity was reversed. Similarly, in mood disorders patients with ELS, increased activation in the primary cortex and decreased activation in the frontal cortex were observed. During rTMS intervention, similar neuroimaging improvements were noted, particularly decreased activation in the primary cortex. This suggests that targeted rTMS in the primary cortex can reverse the abnormal neuroimaging. ConclusionThis cross-species translational study has identified the primary cortex as a key region in mood disorders patients with ELS. Targeting the primary cortex with rTMS can correct abnormal functional activity while improving symptoms. Our study provides translational evidence for therapeutics targeting the ELS factor of mood disorders patients.

Explaining deep learning-based representations of resting state functional connectivity data: focusing on interpreting nonlinear patterns in autism spectrum disorder.

Resting state Functional Magnetic Resonance Imaging fMRI (rs-fMRI) has been used extensively to study brain function in psychiatric disorders, yielding insights into brain organization. However, the high dimensionality of the rs-fMRI data presents significant challenges for data analysis. Variational autoencoders (VAEs), a type of neural network, have been instrumental in extracting low-dimensional latent representations of resting state functional connectivity (rsFC) patterns, thereby addressing the complex nonlinear structure of rs-fMRI data. Despite these advances, interpreting these latent representations remains a challenge. This paper aims to address this gap by developing explainable VAE models and testing their utility using rs-fMRI data in autism spectrum disorder (ASD). One-thousand one hundred and fifty participants (601 healthy controls [HC] and 549 patients with ASD) were included in the analysis. RsFC correlation matrices were extracted from the preprocessed rs-fMRI data using the Power atlas, which includes 264 regions of interest (ROIs). Then VAEs were trained in an unsupervised manner. Lastly, we introduce our latent contribution scores to explain the relationship between estimated representations and the original rs-fMRI brain measures. We quantified the latent contribution scores for both the ASD and HC groups at the network level. We found that both ASD and HC groups share the top network connectivitives contributing to all estimated latent components. For example, latent 0 was driven by rsFC within ventral attention network (VAN) in both the ASD and HC. However, we found significant differences in the latent contribution scores between the ASD and HC groups within the VAN for latent 0 and the sensory/somatomotor network for latent 2. This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD.

Mendelian randomization analyses reveal causal relationships between brain functional networks and risk of psychiatric disorders.

Dysfunction of brain resting-state functional networks has been widely reported in psychiatric disorders. However, the causal relationships between brain resting-state functional networks and psychiatric disorders remain largely unclear. Here we perform bidirectional two-sample Mendelian randomization (MR) analyses to investigate the causalities between 191 resting-state functional magnetic resonance imaging (rsfMRI) phenotypes (n = 34,691 individuals) and 12 psychiatric disorders (n = 14,307 to 698,672 individuals). Forward MR identified 8 rsfMRI phenotypes causally associated with the risk of psychiatric disorders. For example, the increase in the connectivity of motor, subcortical-cerebellum and limbic network was associated with lower risk of autism spectrum disorder. In adddition, increased connectivity in the default mode and central executive network was associated with lower risk of post-traumatic stress disorder and depression. Reverse MR analysis revealed significant associations between 4 psychiatric disorders and 6 rsfMRI phenotypes. For instance, the risk of attention-deficit/hyperactivity disorder increases the connectivity of the attention, salience, motor and subcortical-cerebellum network. The risk of schizophrenia mainly increases the connectivity of the default mode and central executive network and decreases the connectivity of the attention network. In summary, our findings reveal causal relationships between brain functional networks and psychiatric disorders, providing important interventional and therapeutic targets for psychiatric disorders at the brain functional network level.

Heterogeneity as a Marker of Brain Function and Treatment Outcomes in Psychiatric Disorders

Heterogeneity as a Marker of Brain Function and Treatment Outcomes in Psychiatric Disorders

THE INFLUENCE OF TRANSCRANIAL DIRECT CURRENT STIMULATION ON FUNCTIONAL RECOVERY AFTER STROKE: A SYSTEMATIC REVIEW

INTRODUCTION: Stroke is the third leading cause of death in the world and second in Brazil, whose main characteristics are global or focal disorders of brain functions, involving cognitive and mainly physical limitations, including motor, sensory changes, ataxias, apraxias and aphasias. Transcranial Direct Current Stimulation (ETCC) is a non-pharmacological treatment that has demonstrated relevant benefits in the rehabilitation of patients. OBJECTIVE: to verify the effects of ETCC on the functional capacity of post-stroke patients, focusing on efficacy and results in the face of individuals' motor disorders. METHOD: The searches were performed in the databases PeDRO, Cochrane, PubMed and MEDLINE. Eligible studies included at least one of the population outcomes ≥ 18 years, resulting from the intervention, therapeutic efficacy and Motor activity. RESULTS:Seven were selected according to the inclusion and exclusion criteria, published between 2015 and 2020. CONCLUSION: ETCC, applied in isolation, can be an effective technique to improve motor deficits after stroke, including injured upper limb function, lower limb strength, unilateral neglect, mobility and Daily Living Activities. It is suggested to carry out further studies for the standardization of a treatment protocol, as well as to verify the best moment of its application in the post-stroke patient.

Magnetic resonance imaging in the diagnosis of functional changes of the brain in menstrual disorders: a review

INTRODUCTION: Currently, the most common variant of the reproductive system disorders, in particular menstrual cycle disorders, in adolescent girls is oligomenorrhea. In situations after a complete diagnostic screening no organic and endocrine pathology of the reproductive system is detected in this group of patients, it is possible to conduct functional MRI as a method of identifying cause-and-effect relationships and clarifying the pathogenesis of menstrual disorders.OBJECTIVE: To analyze the available foreign and domestic literature to determine the role of magnetic resonance imaging in the diagnosis of functional brain changes in menstrual disorders in adolescent girls.MATERIALS AND METHODS: A search was conducted for scientific publications in the information and analytical systems PubMed and Google Scholar for 2013–2023 by keywords: «resting-state functional MRI» («functional resting MRI»), «oligomenorrhhea» («oligomenorrhea»), «adolescent girls» («teenage girls»), «reproductive system functional disorders» («functional disorders of the reproductive system»), «magnetic resonance imaging» («magnetic resonance imaging»), «diagnostic radiology» («radiation diagnostics»). 46 publications related to the diagnosis of functional brain changes in menstrual disorders in the form of resting state fMRI were analyzed.RESULTS: Resting state fMRI allows us to assess the basic brain activity in the absence of certain sensory or cognitive stimuli and visualize working networks that include various parts of the brain demonstrating synchronous changes in the BOLD-signal at rest. There are a number of patterns of changes in the BOLD-signal that can be observed in various phases of the menstrual cycle, as well as under the influence of stress factors, which makes it possible to visualize the morphological substrate of oligomenorrhea that occurs against the background of the absence of organic and endocrine pathology of the reproductive system in adolescent girls. Currently, there is little data in the scientific literature on the use of functional resting MRI in this cohort of patients, however, this method can have a significant impact on the formation of an individual plan for the correction of reproductive disorders in adolescence, and therefore requires further study.CONCLUSION: The use of fMRI can open up new possibilities in the diagnosis of functional brain disorders in girls with «unexplained» oligomenorrhea.

Providing Lego And Puzzle Method To Improve Children's Fine Motor Development

Background: According to UNICEF 2018, there are 10 million disorders in pre-school aged children, as many as 38%, and according to WHO, pre-school aged children suffer from mild brain function disorders as much as 5-25%, while in Indonesia children who experience fine motor development of this disorder are as many as 16% of all children in Indonesia. Objective: To determine the use of Lego and puzzle methods to increase the fine motor development of preschool children. Method: This research used Quasy Experiment Design (using One Group Pretest-Postest Design. The population and sample in this research were all postpartum mothers totaling 30 people. This research used a proportional sampling technique with univariate and bivariate analysis with the T test. The research was obtained from data analysis using the dependent t test. Results: The table shows that the P-Value (0.000), (0.001) < 0.05 means Ho is rejected and Ha is accepted, which means that there is an influence of giving the Lego Method and the Puzzle Method on Increasing Children's Fine Motor Development PAUD at Nurul Iman Children's Park, and obtained a habwa value of 0.698 > 0.05. Conclusion: There is an influence of giving Lego and the Puzzle Method on Increasing the Fine Motor Development of PAUD Children and there is no difference between giving the Lego method and the puzzle method on increasing fine motor development. from preschoolers.gentle towards preschoolers.

Stereotactic Awake Basal Ganglia Electrophysiological Recording and Stimulation (SABERS): A Novel Staged Procedure for Personalized Targeting of Deep Brain Stimulation in Pediatric Movement and Neuropsychiatric Disorders.

Selection of targets for deep brain stimulation (DBS) has been based on clinical experience, but inconsistent and unpredictable outcomes have limited its use in patients with heterogeneous or rare disorders. In this large case series, a novel staged procedure for neurophysiological assessment from 8 to 12 temporary depth electrodes is used to select targets for neuromodulation that are tailored to each patient's functional needs. Thirty children and young adults underwent deep brain stimulation target evaluation with the new procedure: Stereotactic Awake Basal ganglia Electrophysiological Recording and Stimulation (SABERS). Testing is performed in an inpatient neuromodulation monitoring unit over 5-7 days, and results guide the decision to proceed and the choice of targets for permanent deep brain stimulation implantation. Results were evaluated 3-6 months postoperatively with the Burke-Fahn-Marsden Dystonia Rating Scale and the Barry-Albright Dystonia Scale. Stereotactic Awake Basal ganglia Electrophysiological Recording and Stimulation testing allowed modulation to be tailored to specific neurologic deficits in a heterogeneous population, including subjects with primary dystonia, secondary dystonia, and Tourette syndrome. All but one subject were implanted with 4 permanent deep brain stimulation leads. Results showed significant improvement on both scales at postoperative follow-up. No significant adverse events occurred. Use of the Stereotactic Awake Basal ganglia Electrophysiological Recording and Stimulation protocol with evaluation in the neuromodulation monitoring unit is feasible and results in significant patient benefit compared with previously published results in these populations. This new technique supports a significant expansion of functional neurosurgery to predict effective stimulation targets in a wide range of disorders of brain function, including those for which the optimal target is not yet known.

Dynamic structure-function coupling across three major psychiatric disorders.

Convergent evidence has suggested atypical relationships between brain structure and function in major psychiatric disorders, yet how the abnormal patterns coincide and/or differ across different disorders remains largely unknown. Here, we aim to investigate the common and/or unique dynamic structure-function coupling patterns across major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). We quantified the dynamic structure-function coupling in 452 patients with psychiatric disorders (MDD/BD/SZ = 166/168/118) and 205 unaffected controls at three distinct brain network levels, such as global, meso-, and local levels. We also correlated dynamic structure-function coupling with the topological features of functional networks to examine how the structure-function relationship facilitates brain information communication over time. The dynamic structure-function coupling is preserved for the three disorders at the global network level. Similar abnormalities in the rich-club organization are found in two distinct functional configuration states at the meso-level and are associated with the disease severity of MDD, BD, and SZ. At the local level, shared and unique alterations are observed in the brain regions involving the visual, cognitive control, and default mode networks. In addition, the relationships between structure-function coupling and the topological features of functional networks are altered in a manner indicative of state specificity. These findings suggest both transdiagnostic and illness-specific alterations in the dynamic structure-function relationship of large-scale brain networks across MDD, BD, and SZ, providing new insights and potential biomarkers into the neurodevelopmental basis underlying the behavioral and cognitive deficits observed in these disorders.