The effect of transcranial direct current stimulation on the functional connectivity of language-related brain areas in patients with post-infarction picture-naming dysfunction: a resting state functional magnetic resonance study / 中华物理医学与康复杂志

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.

Correlation between abnormal thalamic functional connectivity and memory decline in patients with end-stage renal disease undergoing maintenance hemodialysis / 西安交通大学学报(医学版)

【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.

Mapping the modulating effect of transcutaneous auricular vagus nerve stimulation on voxel-based analyses in patients with first-episode major depressive disorder: a resting-state functional magnetic resonance imaging study

Introduction: Seed-based analysis has shown that transcutaneous auricular vagus nerve stimulation (taVNS) can modulate the dysfunctional brain network in patients with major depressive disorder (MDD). However, the voxel-based neuropsychological mechanism of taVNS on patients with first-episode MDD is poorly understood. The objective of this study was to assess the effects of an 8-week course of taVNS on patients with first-episode MDD. Methods: Twenty-two patients with first-episode MDD accepted an 8-week course of taVNS treatment. Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed before and after treatment. Voxel-based analyses were performed to characterize spontaneous brain activity. Healthy controls (n=23) were recruited to minimize test-retest effects. Analysis of covariance (ANCOVA) was performed to ascertain treatment-related changes. Then, correlations between changes in brain activity and the Hamilton Depression Rating Scale (HAM-D)/Hamilton Anxiety Scale (HAM-A) remission rate were estimated. Results: Significant group-by-time interactions on voxel-based analyses were observed in the inferior ventral striatum (VSi) and precuneus. Post-hoc analyses showed that taVNS inhibited higher brain activity in the VSi, while upregulating it in the precuneus. Functional connectivity (FC) between the VSi and precuneus decreased. Positive correlations were found between the HAM-D remission rate and changes in brain activity in the VSi. Conclusion: taVNS reduced the FC between VSi and precuneus by normalizing the abnormal spontaneous brain activity of VSi in first-episode MDD patients.

A fMRI observation on the changes of striatum-dorsolateral prefrontal cortex(ST-dlPFC)pathway in T2DM patients with cognitive flexibility decline / 神经解剖学杂志

Objectve:To observe the change of functional connectivity(FC)characteristic and its correlation with cognitive flexibility in type 2 diabetes mellites(T2DM)patients with cognitive flexibility decreased.Methods:A retro-spective analysis was performed in 24 T2DM patients with cognitive flexibility decreased(T2DM+CD),34 T2DM pa-tients without cognitive flexibility decreased(T2DM-CD)and 31 healthy controls(HC).Wisconsin Card Sorting Test(WCST)and the Stroop Color Word Test(Stroop)were respectively used in three groups of subjects to assess cognitive flexibility and functional magnetic resonance imaging(fMRI)scans was used to assess the FC.The differences of cogni-tive flexibility were found between three groups of subjects.The differences of FC between the bilateral(Left and Right,L.and R.)striatum(ST)and the dorsolateral prefrontal cortex(dlPFC)were found between three groups of subjects.Further analysis was focused on the interactive effect of T2DM and cognitive flexibility on FC changes.Results:Com-pared with T2DM-CD and HC,the number of response administered,errors responses,perseverative response,and time in WCST of T2DM+CD were significantly increased,while the number of correct responses was decreased.In Stroop,the number of correct,word-color contradiction and correct word-color indifference in T2DM+CD were lower than HC.In T2DM+CD,FC between L.ST-L.dlPFC,R.ST-L.dlPFC and R.ST-R.dlPFC were decreased,and decreased FC between R.ST-R.dlPFC was associated with cognitive flexibility scale scores.There existed an interactive effect between T2DM and cognitive flexibility on FC changes.Conclusion:Decreased FC between ST and dlPFC is the neural mechanism of cognitive flexibility impairment in T2DM.

A resting-state functional magnetic resonance imaging study of functional connectivity in patients with leukoaraiosis / 中华行为医学与脑科学杂志

Objective:To investigate the alterations of brain resting-state functional connectivity in patients with leukoaraiosis(LA), and to explore its neuropathological mechanism of cognitive dysfunction.Methods:From August 2022 to February 2023, 28 patients with LA(LA group) and 30 gender, age and education level matched normal controls(NC group) in Jiangsu Shengze Hospital affiliated to Nanjing Medical University were prospectively recruited.Mini mental state examination, trail-making test, and Stroop color-word test were used to evaluate the cognitive function of participants, rs-fMRI images were processed by DPABI V6.1 based on MATLAB R2022a.Voxel-mirrored homotopic connectivity(VMHC) values were calculated and two-sample t test were performed to compare the differences in local brain activity between the two groups.The brain regions with significant differences were selected as the seeds to calculate the functional connectivity(FC) values of the whole brain, and Pearson correlation analyses were performed to evaluate the correlation between the FC values and neuropsychological scores. Results:The VMHC values of the calcarine fissure and surrounding cortex(CAL) (x=±18, y=-63, z=15), postcentral gyrus(PoCG) (x=±39, y=-27, z=48), lingual gyrus(LING) (x=±12, y=-51, z=-6), middle occipital gyrus(x=±27, y=-75, z=24) and insula(x=±36, y=6, z=3) in the LA group were lower than those in the NC group( P<0.05). The seed points FC results showed, FC values between right CAL(CAL.R) and bilateral precuneus(PCUN), right dorsolateral prefrontal cortex(DLPFC.R) and right temporal_mid were reduced in the LA group( P<0.05); FC values between PoCG.R and left CAL, left temporal_mid and right LING were reduced too( P<0.05). Additionally, the FC value in the LA group between CAL.R and DLPFC.R was negatively correlated with the Stroop C score( r=-0.39, P<0.05). The FC value in LA group and NC group between CAL.R and DLPFC.R was negatively correlated with the Stroop C score( r=-0.48, P<0.001)and also negatively correlated with the trail making test B(TMT-B) score( r=-0.40, P<0.01), and the FC value between CAL.R and PCUN.L was negatively correlated with the TMT-B score( r=-0.45, P<0.001). Conclusion:Desynchronized interhemispheric functional connectivity and abnormal cortical circuit functional connectivity were probably associated with the underlying neural mechanisms of cognitive impairment in LA.

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance imaging and omics / 医学前沿

Migraine is one of the most prevalent and disabling neurological disease, but the current pharmacotherapies show limited efficacy and often accompanied by adverse effects. Acupuncture is a promising complementary therapy, but further clinical evidence is needed. The influence of acupuncture on migraine is not an immediate effect, and its mechanism remains unclear. This study aims to provide further clinical evidence for the anti-migraine effects of acupuncture and explore the mechanism involved. A randomized controlled trial was performed among 10 normal controls and 38 migraineurs. The migraineurs were divided into blank control, sham acupuncture, and acupuncture groups. Patients were subjected to two courses of treatment, and each treatment lasted for 5 days, with an interval of 1 day between the two courses. The effectiveness of treatment was evaluated using pain questionnaire. The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced by treatments. Blood plasma was collected for metabolomics and proteomics studies. Correlation and mediation analyses were performed to investigate the interaction between clinical, fMRI and omics changes. Results showed that acupuncture effectively relieved migraine symptoms in a way different from sham acupuncture in terms of curative effect, affected brain regions, and signaling pathways. The anti-migraine mechanism involves a complex network related to the regulation of the response to hypoxic stress, reversal of brain energy imbalance, and regulation of inflammation. The brain regions of migraineurs affected by acupuncture include the lingual gyrus, default mode network, and cerebellum. The effect of acupuncture on patients' metabolites/proteins may precede that of the brain.

Alpha and Low Gamma Embedded With White Noise Binaural Beats Modulating Working Memory among Malaysian Young Adult: A Preliminary fMRI Study

@#Introduction: Binaural beats (BB) provisions alpha and gamma have been suggested to modulate working memory (WM), while white noise (WN) acted as a control condition. Methods: The current study overlays WN on alpha and gamma tones to study its modulating role on WM performance. A block-design n-back task paradigm used to determine the effect of load on embedded BB on WM performance using functional magnetic resonance imaging. Results: Six young adults (3 males and 3 females) with mean age of 23.5 ± 0.84 within the Kota Bharu vicinity participated in the study. A repeated-measures ANOVA (p<0.05) on response accuracy indicate medium effect size on condition (η2 =0.420), and large effect sizes on groups (η2 = 0.388) and load (η2 = 0.487). The potential practical difference is more evident on low- (0-back) and high-load (3-back). GWN provision marginally excels, implying its entrainment may benefit WM processing. A repeated-measures ANOVA (p<0.05) on reaction time (RT) implied a large effect size on all variables (condition: η2 =0.065, groups: η2 =0.227 and load: η2 =0.169). It was observed that BB exposure elicits a slow processing speed which worsens RT. The neural correlates suggest activated regions in GWN and AWN are associated with attentional mechanisms and WM processes. Conclusion: Preliminary findings indicate both embedded BB has a potential to improve WM performance with the cost of slower processing speed. GWN provision modulates attentional mechanisms benefiting WM performance and AWN may enhance performance in extreme ends of WM load.

Practical aspects of functional mri in clinical examinations / Aspectos práticos de rm funcional em exames clínicos / Aspectos prácticos de la rm funcional en los exámenes clínicos

The eloquent cerebral cortices are involved in movement, sensation, speech, vision, and higher cortical functions. Functional magnetic resonance imaging (fMRI) allows the evaluation of brain function, aiding in neurosurgical planning by mapping eloquent cortical areas. Considering the high cost of the hardware involved, the purpose of this work is to present a more affordable, in-house alternative for these studies that can provide adequate results in a clinical setting. We also present some practical information on how to perform these exams. We describe an affordable in-house hardware solution used by an imaging center, and examples of fMRI paradigms used to evaluate motor and language tasks. The fMRI studies show robust activations in eloquent areas consistent with the tasks performed on the exam. Images of post-processed studies illustrate clinical cases. The fMRI have well-established applications, mapping eloquent cortical areas in patients with brain lesions. In the case of surgical planning, it allows the surgeon to maximize the resection area while minimizing sequelae. More affordable hardware can reduce the cost of these exams, making them more accessible to the general public.

O córtex cerebral eloquente está envolvido nas atividades motora, sensação, fala, visão e funções corticais superiores. A ressonância magnética funcional (RMf) permite a avaliação da função cerebral, ajudando no planejamento neurocirúrgico através do mapeamento de áreas corticais eloquentes. Considerando o elevado custo do hardware envolvido, o objetivo deste trabalho é apresentar uma alternativa mais acessível para estes estudos, que possa fornecer resultados adequados em um ambiente clínico. Também apresentamos algumas informações práticas sobre a realização destes exames. Descrevemos uma solução de hardware acessível utilizada por um centro de imagens, e exemplos de paradigmas de RMf usados para avaliar tarefas motoras e relacionadas à fala. Os estudos de RMf mostram ativações em áreas eloquentes, consistentes com as tarefas realizadas no exame com imagens de estudos pós-processados ilustrando casos clínicos. A RMf tem aplicações bem estabelecidas, mapeando áreas corticais eloquentes em pacientes com lesões cerebrais. No caso do planejamento cirúrgico, permite que o cirurgião maximize a área de ressecção enquanto minimiza potenciais sequelas. Equipamentos mais acessíveis podem reduzir o custo destes exames, podendo aumentar a disponibilização ao público em geral.

La corteza cerebral elocuente está implicada en las actividades motoras, la sensibilidad, el habla, la visión y las funciones corticales superiores. La resonancia magnética funcional (RMf) permite la evaluación de la función cerebral, ayudando en la planificación neuroquirúrgica mediante el mapeo de las áreas corticales elocuentes. Teniendo en cuenta el elevado coste del hardware implicado, el objetivo de este artículo es presentar una alternativa más asequible para estos estudios que pueda proporcionar resultados adecuados en un entorno clínico. También presentamos información práctica sobre cómo realizar estos exámenes. Describimos una solución de hardware asequible utilizada por un centro de diagnóstico por imagen, y ejemplos de paradigmas de RMf utilizados para evaluar tareas motoras y relacionadas con el habla. Los estudios de RMf muestran activaciones en áreas elocuentes, coherentes con las tareas realizadas en el examen, con imágenes de estudios postprocesados que ilustran casos clínicos. La RMf tiene aplicaciones bien establecidas en el mapeo de áreas corticales elocuentes en pacientes con lesiones cerebrales. En el caso de la planificación quirúrgica, permite al cirujano maximizar el área de resección minimizando las posibles secuelas. Un equipo más asequible puede reducir el coste de estas exploraciones, aumentando potencialmente su disponibilidad para el público en general.

Fusión de datos multimodales de neurociencias generados en estudios EEG-fMRI, un análisis temático / Fusion of Multimodal Neuroscience Data Generated in EEG-fMRI Studies, a Thematic Analysis

La actividad cerebral tiene múltiples atributos, entre ellos los eléctricos, metabólicos, hemodinámicos y hormonales. Los métodos modernos para estudiar las funciones cerebrales como el PET (Tomografía por Emisión de Positrones), fMRI (Imagen de Resonancia Magnética Funcional) y MEG (Magnetoencefalograma) son ampliamente utilizados por los científicos. Sin embargo, el EEG es una herramienta utilizada para la investigación y diagnóstico debido a su bajo costo, simplicidad de uso, movilidad y la posibilidad de monitoreo a largo tiempo de adquisición. Para detectar e interpretar las características relevantes de estas señales, se describe cada proceso por su escala temporal (EEG) y espacial (fMRI). La presente investigación se enfoca en realizar una revisión bibliográfica sobre la integración de datos multimodales EEG-fMRI que propicie valorar su importancia para el desarrollo de algoritmos de fusión y su uso en el contexto cubano. Para ello se analizaron documentos con altos índices de citas en la literatura, donde se destacan autores precursores de los temas en análisis. Los estudios multimodales EEG-fMRI generan múltiples datos temporales y espaciales con alto valor para la medicina basada en evidencia. La integración de los mismos provee un valor agregado en la búsqueda de nuevos métodos diagnósticos, aplicando minería de datos, Deep learning y algoritmos de fusión. En este trabajo se pone de relieve la existencia de baja resolución temporal de fMRI y por otro lado la baja resolución espacial de EEG, por lo que la integración de ambos estudios aumentaría la calidad de su información(AU)

Brain activity has multiple attributes, including electrical, metabolic, hemodynamic, and hormonal. Modern methods for studying brain functions such as PET (Positron Emission Tomography), fMRI (Functional Magnetic Resonance Imaging), and MEG (Magnetoencephalogram) are widely used by scientists. However, the EEG is a tool used for research and diagnosis due to its low cost, simplicity of use, mobility and the possibility of long-term monitoring of acquisition. To detect and interpret the relevant characteristics of these signals, each process is described by its temporal (EEG) and spatial (fMRI) scale. The present research focuses on conducting a bibliographic review on the integration of multimodal EEG-fMRI data that favors assessing its importance for the development of fusion algorithms and their use in the Cuban context. For this, documents with high rates of citations in the literature were analyzed, where precursor authors of the topics under analysis stand out. Multimodal EEG-fMRI studies generate multiple temporal and spatial data with high value for evidence-based medicine. Their integration provides added value in the search for new diagnostic methods, applying data mining, Deep learning and fusion algorithms. This work highlights the existence of low temporal resolution of fMRI and, on the other hand, the low spatial resolution of EEG, so the integration of both studies would increase the quality of their information(AU)

Research progress of molecular imaging technology in the diagnosis and treatment of epilepsy / 中华行为医学与脑科学杂志

Molecular imaging is a developing research field and it has become a research hotspot.It integrates molecular biochemistry, data processing, nanotechnology, image processing and other technologies and has high specificity, high sensitivity, and high image resolution.It can provide qualitative, positioning, and quantitative data for clinical diagnosis.Clinically, 30% of epileptic patients develop into intractable epilepsy, but magnetic resonance imaging(MRI) can not detect structural lesions.These patients need accurate positioning in order to improve the effectiveness of epilepsy surgery.Because the current preoperative positioning methods have certain limitations, some epileptic patients still have recurrent seizures after the operation.Therefore, researchers continue to explore targeted tracers with high specificity and strong sensitivity.Various nanotechnology and functional magnetic resonance imaging methods are used to study the accurate localization methods of epilepsy.This paper summarized and analyzed the latest research of molecular imaging technology in China and abroad, such as the latest research of single photon emission computed tomography(SPECT) and positron emission tomography(PET) molecular imaging, the application of various nanotechnology combined with functional magnetic resonance in the accurate diagnosis and treatment of epilepsy, and various targeted tracers that haven been developed at present.The results suggest that the continuous improvement of quantitative image analysis, the integration of multi-mode imaging, the development of PET radioactive tracers, and the combination of nanotechnology and functional magnetic resonance imaging(fMRI) will facilitate a more comprehensive understanding of the pathophysiological mechanism of epilepsy.It is promising to realize the accurate diagnosis and treatment of intractable epilepsy.

Changes of gray matter volume and brain functional connectivity in children with attention deficit hyperactivity disorder comorbid with oppositional defiant disorder / 中华行为医学与脑科学杂志

Objective:To analyze the changes of gray matter volume and resting-state functional connectivity in children with attention deficit hyperactivity disorder (ADHD) comorbid with oppositional defiant disorder (ODD).Methods:A total of 22 ADHD comorbid with ODD children (ADHD-ODD group, n=22) were selected from a public-assess resting-state fMRI ADHD cohort, namely, ADHD-200.Meanwhile, 22 age- and sex- matched ADHD children without ODD (ADHD group, n=22) and 22 healthy children(control group, n=22) were also included.T1-weighted MRI and resting-state fMRI scans were performed on all of the participants.The voxel-based morphometric (VBM) method was used to compare the volume of gray matter in three groups.The gray matter with aberrant volume was set as the region of interest(ROI) for mapping the functional connectivity of the whole brain.For comparison of gray matter volumes, one-way ANOVA and two-sample t-test analysis were applied, while two-sample t-test analysis was used for comparison of functional connectivity. Results:Compared with the control group, ADHD-ODD group showed decreased gray matter volume in the left cerebellum anterior lobe (MNI coordinate: x, y, z=-19.5, -42, -18) and right cerebellum anterior lobe (MNI coordinate: x, y, z=19.5, -39, -21). The left cerebellum anterior lobe showed increased functional connectivity with left superior frontal gyrus, left middle frontal gyrus (MNI coordinate: x, y, z=-24, 19, 43), right superior frontal gyrus, right middle frontal gyrus (MNI coordinate: x, y, z=30, 9, 45) and bilateral precuneus, posterior cingulate gyrus(MNI coordinate: x, y, z=-6, -35, 24). Compared with the ADHD group, ADHD-ODD group showed decreased gray matter volume in the right cerebellum anterior lobe (MNI coordinate: x, y, z=19.5, -37.5, -22.5). The right cerebellum anterior lobe showed increased functional connectivity with bilateral superior frontal gyrus, bilateral middle frontal gyrus, bilateral medial frontal gyrus, anterior cingulate gyrus and posterior cingulate gyrus(MNI coordinate: x, y, z=18, -12, 42), bilateral cuneus, bilateral lingual gyrus(MNI coordinate: x, y, z=9, -87, 27).Conclusion:ADHD comorbid with ODD children show decreased cerebellum volume and excessive functional connectivity with several brain regions of the cerebral hemispheres, which may be one of the neuropathological bases of cognitive, emotional, and behavioral disorders.

Modeling functional network topology following stroke through graph theory: functional reorganization and motor recovery prediction

The study of functional reorganization following stroke has been steadily growing supported by advances in neuroimaging techniques, such as functional magnetic resonance imaging (fMRI). Concomitantly, graph theory has been increasingly employed in neuroscience to model the brain's functional connectivity (FC) and to investigate it in a variety of contexts. The aims of this study were: 1) to investigate the reorganization of network topology in the ipsilesional (IL) and contralesional (CL) hemispheres of stroke patients with (motor stroke group) and without (control stroke group) motor impairment, and 2) to predict motor recovery through the relationship between local topological variations of the functional network and increased motor function. We modeled the brain's FC as a graph using fMRI data, and we characterized its interactions with the following graph metrics: degree, clustering coefficient, characteristic path length, and betweenness centrality (BC). For both patient groups, BC yielded the largest variations between the two analyzed time points, especially in the motor stroke group. This group presented significant correlations (P<0.05) between average BC changes and the improvements in upper-extremity Fugl-Meyer (UE-FM) scores at the primary sensorimotor cortex and the supplementary motor area for the CL hemisphere. These regions participate in processes related to the selection, planning, and execution of movement. Generally, higher increases in average BC over these areas were related to larger improvements in UE-FM assessment. Although the sample was small, these results suggest the possibility of using BC as an indication of brain plasticity mechanisms following stroke.

Contributions from functional neuroimaging studies to the comprehension of traumatic child experiences: preliminary findings / Aportes de los estudios de neuroimagen funcional a la comprensión del trauma infantil: estudio preliminar

Abstract This study aimed to describe the cerebral activation patterns using fMRI (Functional Magnetic Resonance Imaging) technology in a sample of 15 children with Posttraumatic Stress Disorder (PTSD) and 7 with no PTSD. The study used a Quasi-experimental methodology where two experimental tasks were applied: an emotional face task and a version of an emotional Stroop task. The results point out differences in the group of PTSD on the processing of negative stimuli and changes in their frontal lobe activation. These preliminary results suggest that early traumatic experiences affect typical brain development patterns. And explicit and implicit variables involved in the traumatic experiences are discussed as a part of any intervention process.

Resumen El presente estudio tuvo como objetivo describir patrones de activación cerebral mediante una técnica de Imagen por resonancia magnética funcional -fMRI- (abreviatura en inglés de Functional Magnetic Resonance Imaging) en una muestra de niños con Trastorno de estrés postraumático (TEPT) y compararlos con un grupo de controles. Estudio cuasi-experimental en el que se tomó un grupo de 15 niños con TEPT y se comparó con un grupo de 7 niños sin TEPT. Se emplearon dos tareas experimentales: una prueba de caras y una versión del Stroop emocional. Los resultados preliminares, señalan diferencias en el procesamiento de estímulos, principalmente de carácter negativo en los niños con TEPT y cambios en los patrones de activación a nivel de estructuras frontales. Se concluye que el trauma a edad temprana afecta el curso normal del desarrollo cerebral y se evidencia la importancia de abordar los aspectos explícitos e implícitos asociados a la experiencia traumática como parte de la intervención.

Effect of acupuncture on default mode network in patients with migraine based on functional Magnetic Resonance Imaging: a preliminary study / 中国针灸

OBJECTIVE@#To investigate the effect of acupuncture on default mode network (DMN) in migraine patients without aura based on functional Magnetic Resonance Imaging (fMRI).@*METHODS@#Fifteen patients with migraine were included and treated with acupuncture based on "root-knot" theory (Zuqiaoyin [GB 44] for @*RESULTS@#Compared before acupuncture, the functional connections of left parahippocampal cortex (PHC) and anterior medial prefrontal cortex (aMPFC), dorsal medial prefrontal cortex (dMPFC) and lateral temporal cortex (LTC) in DMN after acupuncture were weakened (@*CONCLUSION@#Acupuncture shows good clinical efficacy for migraine without aura, and could adjust the functional connection of DMN.

Mapping Domain- and Age-Specific Functional Brain Activity for Children’s Cognitive and Affective Development / 神经科学通报·英文版

The human brain undergoes rapid development during childhood, with significant improvement in a wide spectrum of cognitive and affective functions. Mapping domain- and age-specific brain activity patterns has important implications for characterizing the development of children’s cognitive and affective functions. The current mainstay of brain templates is primarily derived from structural magnetic resonance imaging (MRI), and thus is not ideal for mapping children’s cognitive and affective brain development. By integrating task-dependent functional MRI data from a large sample of 250 children (aged 7 to 12) across multiple domains and the latest easy-to-use and transparent preprocessing workflow, we here created a set of age-specific brain functional activity maps across four domains: attention, executive function, emotion, and risky decision-making. Moreover, we developed a toolbox named Developmental Brain Functional Activity maps across multiple domains that enables researchers to visualize and download domain- and age-specific brain activity maps for various needs. This toolbox and maps have been released on the Neuroimaging Informatics Tools and Resources Clearinghouse website (http://www.nitrc.org/projects/dbfa). Our study provides domain- and age-specific brain activity maps for future developmental neuroimaging studies in both healthy and clinical populations.

Selective Aberrant Functional–Structural Coupling of Multiscale Brain Networks in Subcortical Vascular Mild Cognitive Impairment / 神经科学通报·英文版

Subcortical vascular mild cognitive impairment (svMCI) is a common prodromal stage of vascular dementia. Although mounting evidence has suggested abnormalities in several single brain network metrics, few studies have explored the consistency between functional and structural connectivity networks in svMCI. Here, we constructed such networks using resting-state fMRI for functional connectivity and diffusion tensor imaging for structural connectivity in 30 patients with svMCI and 30 normal controls. The functional networks were then parcellated into topological modules, corresponding to several well-defined functional domains. The coupling between the functional and structural networks was finally estimated and compared at the multiscale network level (whole brain and modular level). We found no significant intergroup differences in the functional–structural coupling within the whole brain; however, there was significantly increased functional–structural coupling within the dorsal attention module and decreased functional–structural coupling within the ventral attention module in the svMCI group. In addition, the svMCI patients demonstrated decreased intramodular connectivity strength in the visual, somatomotor, and dorsal attention modules as well as decreased intermodular connectivity strength between several modules in the functional network, mainly linking the visual, somatomotor, dorsal attention, ventral attention, and frontoparietal control modules. There was no significant correlation between the altered module-level functional–structural coupling and cognitive performance in patients with svMCI. These findings demonstrate for the first time that svMCI is reflected in a selective aberrant topological organization in multiscale brain networks and may improve our understanding of the pathophysiological mechanisms underlying svMCI.

Deep Natural Image Reconstruction from Human Brain Activity Based on Conditional Progressively Growing Generative Adversarial Networks / 神经科学通报·英文版

Brain decoding based on functional magnetic resonance imaging has recently enabled the identification of visual perception and mental states. However, due to the limitations of sample size and the lack of an effective reconstruction model, accurate reconstruction of natural images is still a major challenge. The current, rapid development of deep learning models provides the possibility of overcoming these obstacles. Here, we propose a deep learning-based framework that includes a latent feature extractor, a latent feature decoder, and a natural image generator, to achieve the accurate reconstruction of natural images from brain activity. The latent feature extractor is used to extract the latent features of natural images. The latent feature decoder predicts the latent features of natural images based on the response signals from the higher visual cortex. The natural image generator is applied to generate reconstructed images from the predicted latent features of natural images and the response signals from the visual cortex. Quantitative and qualitative evaluations were conducted with test images. The results showed that the reconstructed image achieved comparable, accurate reproduction of the presented image in both high-level semantic category information and low-level pixel information. The framework we propose shows promise for decoding the brain activity.

Advances in the efficacy of dialectical behavior therapy in the treatment of non-suicidal self-injury： evidence from brain function imaging / 四川精神卫生

This paper intends to systematically review the efficacy and imaging related studies of dialectical behavior therapy （DBT） in the treatment of non-suicidal self-injury （NSSI）， so as to provide references for DBT treatment of NSSI. NSSI has a very high incidence in the population and is a major threat to the physical and mental health of adolescents. DBT shows certain advantages in the treatment of NSSI. Previous studies have preliminarily revealed the neurological effects of DBT treatment on patients， which provides an important objective basis for the efficacy of DBT treatment. In this paper， the efficacy of DBT in the treatment of NSSI and the brain imaging evidence are described and discussed， so as to provide references for the effectiveness of DBT in the treatment of NSSI.

Effect of acupuncture on pain-emotion related brain regions in patients with cervical spondylosis of cervical type: a fMRI study / 中国针灸

OBJECTIVE@#To observe the changes of functional connectivity of brain pain-emotion regulation region in patients with cervical spondylosis of cervical type by functional magnetic resonance imaging (fMRI).@*METHODS@#Thirty-two subjects were selected. Of them, 16 patients with cervical spondylosis of cervical type were divided into an observation group and 16 healthy subjects into a control group. The patients in the observation group were treated with acupuncture at Tianzhu (BL 10), Jingbailao (EX-HN 15), Jianzhongshu (SI 15) and @*RESULTS@#In the observation group, the VAS score was (1.94±1.12) after the treatment, which was lower than (5.62±1.20) before treatment (@*CONCLUSION@#Pain involves the formation and expression of "pain-emotion-cognition". Acupuncture can systematically regulate the brain functional connections between cognitive regions such as dorsal prefrontal lobe and anterior cingulate gyrus and emotional regions such as insula and VTA in patients with cervical spondylosis of cervical type, suggesting that acupuncture has a multi-dimensional and comprehensive regulation effect on pain.

Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study / 医学前沿

Asthma is a serious health problem that involves not only the respiratory system but also the central nervous system. Previous studies identified either regional or network alterations in patients with asthma, but inconsistent results were obtained. A key question remains unclear: are the regional and neural network deficits related or are they two independent characteristics in asthma? Answering this question is the aim of this study. By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40 matched health controls, brain functional measures including regional activity (amplitude of low-frequency fluctuations) and neural network function (degree centrality (DC) and functional connectivity) were calculated to systematically characterize the functional alterations. Patients exhibited regional abnormities in the left angular gyrus, right precuneus, and inferior temporal gyrus within the default mode network. Network abnormalities involved both the sensorimotor network and visual network with key regions including the superior frontal gyrus and occipital lobes. Altered DC in the lingual gyrus was correlated with the degree of airway obstruction. This study elucidated different patterns of regional and network changes, thereby suggesting that the two parameters reflect different brain characteristics of asthma. These findings provide evidence for further understanding the potential cerebral alterations in the pathophysiology of asthma.