Humans ; Empathy ; Brain Mapping ; Pain

The population receptive field (pRF) of a voxel is the joint receptive field of the population of neurons within the voxel. Using a non-invasive pRF technique, researcher can estimate the pRF position and size parameters of each voxel in human brain. These pRF parameters provide an excellent research basis to study neural mechanisms of sensory perception. Although the pRF technique has developed very rapidly in recent years and been widely used in the field of neural mechanisms of sensory perception, related review article is still absent. Here, we provide an overview of the pRF technique. First, we briefly introduce research methods of this technique. Next, we focus on applications of this technique in the field of neural mechanisms of sensory perception. Then, we discuss advantages and limitations of the pRF technique in practical application. In the end, we give some suggestions on the future application direction of the pRF technique. The pRF technique has played an important role in the research of neural mechanism of sensory perception, and it would play a more important role in the future.
Brain ; physiology ; Brain Mapping ; Humans ; Neurons ; Perception

Cognitive control refers to the brain functions that regulate variously specific mental activities in terms of task goal, forming the basis of goal-guided behaviors. In the last decade, our team devoted to investigating the neural mechanisms of basic functions of cognitive control, i.e., monitoring, controlling, and switching. We published a series of papers on the temporal course of monitoring initiating cognitive control and its mechanisms, the influential scope of controlling and new controlling mechanisms, brain networks related to controlling efficiency, brain hubs and neural dynamic encoding of switching. This paper reviews the related studies and further extracts their theoretical significance. In the future, more attention should be paid on causal studies, studies on functional implementation of cognitive control, and transfer-application studies, by which we expect to deeply elucidate neural mechanisms of cognitive control.
Brain ; physiology ; Brain Mapping ; Cognition ; Humans

No abstract available.
Brain Mapping* ; Evoked Potentials, Visual* ; Schizophrenia*

Acoustic Stimulation ; Brain Mapping ; Hallucinations ; Humans

PURPOSE: To investigate the feasibility of functional MR imaging of motor language function and its usefulnessin the determination of hemispheric language dominance. MATERIALS AND METHODS: In order to activate the motorcenter of language, six subjects(5 right-handed, 1 left-handed; 3 males, 3 females) generated words. They wererequested to do this silently, without physical articulation, in response to English letters presented visually.Gradient-echo images (TR/TE/flip angle, 80/60/40o; 64x128 matrix; 10mm thickness) were obtained in three axialplanes including the inferior frontal gyrus. Functional maps were created by the postprocessing of gradient-echoimages, including subtraction and statistics. Areas of activation were topographically analyzed and numbers ofactivated pixels in each region were compared between right and left sides. The reproducibility of functional mapswas tested by repetition of functional imaging in the same subjects. RESULTS: Statistically significant activationsignals were demonstrated in five of six subjects, in whom the distribution of those signals was predominantly inboth frontal lobes. Hemispheric lateralization of activation, when activated pixels were compared between bothinferior frontal gyri, was in all cases on the left. In four subjects, functional maps were reproduced in asimilar fashion. CONCLUSION: Our results suggest that functional MR imaging can depict the activation of motorlanguage function in the brain and can be used as a useful non-invasive method for determining the hemisphericdominance of language.
Brain Mapping* ; Brain* ; Frontal Lobe ; Humans* ; Magnetic Resonance Imaging ; Male

From birth to adulthood, we often align our behaviors, attitudes, and opinions with a majority, a phenomenon known as social conformity. A seminal framework has proposed that conformity behaviors are mainly driven by three fundamental motives: a desire to gain more information to be accurate, to obtain social approval from others, and to maintain a favorable self-concept. Despite extensive interest in neuroimaging investigation of social conformity, the relationship between brain systems and these fundamental motivations has yet to be established. Here, we reviewed brain imaging findings of social conformity with a componential framework, aiming to reveal the neuropsychological substrates underlying different conformity motivations. First, information-seeking engages the evaluation of social information, information integration, and modification of task-related activity, corresponding to brain networks implicated in reward, cognitive control, and tasks at hand. Second, social acceptance involves the anticipation of social acceptance or rejection and mental state attribution, mediated by networks of reward, punishment, and mentalizing. Third, self-enhancement entails the excessive representation of positive self-related information and suppression of negative self-related information, ingroup favoritism and/or outgroup derogation, and elaborated mentalizing processes to the ingroup, supported by brain systems of reward, punishment, and mentalizing. Therefore, recent brain imaging studies have provided important insights into the fundamental motivations of social conformity in terms of component processes and brain mechanisms.
Humans ; Social Conformity ; Motivation ; Brain ; Social Behavior ; Brain Mapping

Traditional depression research based on electroencephalogram (EEG) regards electrodes as isolated nodes and ignores the correlation between them. So it is difficult to discover abnormal brain topology alters in patients with depression. To resolve this problem, this paper proposes a framework for depression recognition based on brain function network (BFN). To avoid the volume conductor effect, the phase lag index is used to construct BFN. BFN indexes closely related to the characteristics of "small world" and specific brain regions of minimum spanning tree were selected based on the information complementarity of weighted and binary BFN and then potential biomarkers of depression recognition are found based on the progressive index analysis strategy. The resting state EEG data of 48 subjects was used to verify this scheme. The results showed that the synchronization between groups was significantly changed in the left temporal, right parietal occipital and right frontal, the shortest path length and clustering coefficient of weighted BFN, the leaf scores of left temporal and right frontal and the diameter of right parietal occipital of binary BFN were correlated with patient health questionnaire 9-items (PHQ-9), and the highest recognition rate was 94.11%. In addition, the study found that compared with healthy controls, the information processing ability of patients with depression reduced significantly. The results of this study provide a new idea for the construction and analysis of BFN and a new method for exploring the potential markers of depression recognition.
Brain ; Brain Mapping ; Depression/diagnosis* ; Electroencephalography ; Humans ; Recognition, Psychology

The pathogenesis of schizophrenia (SCZ) is not yet clear, and the pathological changes of the brain activity remains debatable. There are still numerous unresolved issues and debates regarding the relationship between functional connection of the brain network and the symptoms of SCZ. In this paper, we provide a comprehensive review of recent research progresses on resting-state and task-based brain networks, which covers the symptoms of SCZ. Furthermore, we discuss the relationship between large-scale brain networks and SCZ symptoms, and propose possible future research directions in the field of SCZ diagnosis and treatment.
Brain ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Schizophrenia

The protection of language function is one of the major challenges of brain surgery. Over the past century, neurosurgeons have attempted to seek the optimal strategy for the preoperative and intraoperative identification of language-related brain regions. Neurosurgeons have investigated the neural mechanism of language, developed neurolinguistics theory, and provided unique evidence to further understand the neural basis of language functions by using intraoperative cortical and subcortical electrical stimulation. With the emergence of modern neuroscience techniques and dramatic advances in language models over the last 25 years, novel language mapping methods have been applied in the neurosurgical practice to help neurosurgeons protect the brain and reduce morbidity. The rapid advancements in brain-computer interface have provided the perfect platform for the combination of neurosurgery and neurolinguistics. In this review, the history of neurolinguistics models, advancements in modern technology, role of neurosurgery in language mapping, and modern language mapping methods (including noninvasive neuroimaging techniques and invasive cortical electroencephalogram) are presented.
Brain Mapping ; Brain Neoplasms ; Humans ; Language ; Neurosurgery ; Neurosurgical Procedures