Brain Sciences最新文献

Background: In neuroscience research about functional magnetic resonance imaging (fMRI), accurate inter-subject image registration is the basis for effective statistical analysis. Traditional fMRI registration methods are usually based on high-resolution structural MRI with clear anatomical structure features. However, this registration method based on structural information cannot achieve accurate functional consistency between subjects since the functional regions do not necessarily correspond to anatomical structures. In recent years, fMRI registration methods based on functional information have emerged, which usually ignore the importance of structural MRI information.

Methods: In this study, we proposed a non-rigid cycle consistent bidirectional network with Transformer for unsupervised deformable functional MRI registration. The work achieves fMRI registration through structural MRI registration, and functional information is introduced to improve registration performance. Specifically, we employ a bidirectional registration network that implements forward and reverse registration between image pairs and apply Transformer in the registration network to establish remote spatial mapping between image voxels. Functional and structural information are integrated by introducing the local functional connectivity pattern, the local functional connectivity features of the whole brain are extracted as functional information. The proposed registration method was experimented on real fMRI datasets, and qualitative and quantitative evaluations of the quality of the registration method were implemented on the test dataset using relevant evaluation metrics. We implemented group ICA analysis in brain functional networks after registration. Functional consistency was evaluated on the resulting t-maps.

Results: Compared with non-learning-based methods (Affine, Syn) and learning-based methods (Transmorph-tiny, Cyclemorph, VoxelMorph x2), our method improves the peak t-value of t-maps on DMN, VN, CEN, and SMN to 18.7, 16.5, 16.6, and 17.3 and the mean number of suprathreshold voxels (p < 0.05, t > 5.01) on the four networks to 2596.25, and there is an average improvement in peak t-value of 23.79%, 12.74%, 12.27%, 7.32%, and 5.43%.

Conclusions: The experimental results show that the registration method of this study improves the structural and functional consistency between fMRI with superior registration performance.

Background: Maximal safe resection is the objective of most neuro-oncological operations. Intraoperative magnetic resonance imaging (iMRI) may guide the surgeon to improve the extent of safe resection. There is limited evidence comparing the impact of iMRI on the rates of further resection between tumour types.

Aim: To investigate the impact of iMRI on the rate of further resection following visualisation of residual tumour.

Methods: A retrospective cohort study identified all intracranial tumour operations performed in the 1.5 T iMRI machine of a single centre (2007-2023). Patients were identified using SurgiNet and were grouped according to their histopathological diagnosis in accordance with the WHO 2021 classification. The primary outcome was the rate of reoperation due to iMRI visualisation of residual tumours.

Results: A total of 574 cases were identified, including 152 low-grade gliomas (LGG), 108 high-grade gliomas (HGG), 194 pituitary neuroendocrine tumours (PitNETs), 15 metastases, and 6 meningiomas. Further resection following iMRI visualisation occurred in 45% of LGG cases, 47% of HGG cases, 29% of PitNET cases, and no meningioma or metastasis cases. Chi-square analysis showed that the rate of further resection after iMRI use across 2018-2023 was significantly higher than that across 2007-2012 (46% versus 33%, p = 0.036).

Conclusion: Intraoperative MRI for guiding further resection was most useful in cases of LGG and HGG, possibly reflecting the difficulty of differentiating these tumour types from normal brain tissue. In addition, there was increased reliance on iMRI over time, which may represent our surgeons becoming accustomed to its use.

Obsessive-compulsive disorder (OCD) is a prevalent, chronic, and severe neuropsychiatric disorder that leads to illness-related disability. Despite the availability of several treatments, many OCD patients respond inadequately, because the underlying neural mechanisms remain unclear, necessitating the establishment of many animal models, particularly mouse models, to elucidate disease mechanisms and therapeutic strategies better. Although the development of animal models is ongoing, there remain many comprehensive summaries and updates in recent research, hampering efforts to develop novel treatments and enhance existing interventions. This review summarizes the phenotypes of several commonly used models and mechanistic insights from transgenic models of OCD, such as knockout mouse models. In addition, we present the advantages and limitations of these models and discuss their future in helping further understand the pathophysiology and advanced treatment. Here, we highlight current frontline treatment approaches for OCD, including neuromodulation and surgical interventions, and propose potential future directions. By studying gene mutations and observing phenotypes from available OCD animal models, researchers have classified the molecular signatures of each model reminiscent of changes in brain areas and neural pathways, with the hope of guiding the future selection of the most appropriate models for specific research in the OCD field.

Background/Objectives: There is growing interest in neuroscience-informed education, as well as neuroscience-derived strategies that maximise learning. Studies on neuroscience literacy and neuromyths, i.e., understandings or misconceptions about the brain, have primarily focused on their prevalence in educators, and few studies have examined their impact on students' study habits or academic performance. Methods: To address this gap, we surveyed 576 university students in different academic programmes to investigate the relationship between neuromyths and academic outcomes in university students. In this quantitative, cross-sectional study design, we used a validated neuroscience knowledge survey and the Revised Two-factor Study Process (R-SPQ-2F) Questionnaire. We also inquired about students' interest in, exposure to, and awareness of neuroscience, as well as their academic grades. Results: Students showed significant awareness of and interest in neuroscience; this was highest among students in health science programmes and lowest among students in computer and engineering programmes. The most common sources of general neuroscience knowledge were internet articles. Higher neuroscience literacy was associated with higher interest in neuroscience and having taken more neuroscience courses. Neuromyth scores were also better among those with higher neuroscience literacy scores. Higher neuroscience literacy scores were significantly associated with higher grades, higher surface strategy scores, and lower surface motive study habits. Conclusions: Our study sheds light on the variations in foundational neuroscience literacy among students in different academic programmes. It also provides insight into how this foundation affects academic performance and study habits. This insight may help guide educational policymakers to adopt neuroscience-based strategies that may be beneficial for learning.

Background: Parkinson's disease (PD) is a neurodegenerative disorder marked by motor deficits and non-motor symptoms, such as depression, which are associated with dopaminergic loss and α-synuclein aggregation in the brain. Objectives: This study investigated the neuroprotective effects of a hydroalcoholic extract of the purple fruit of Eugenia uniflora (PFEU) on motor ability and depressive-like behaviors in a PD model induced by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) in female Wistar rats. Methods: Rats received intranasal administration of MPTP or vehicle, followed by 14 days of oral administration of PFEU (300 or 2000 mg/kg, administered once daily) or vehicle. Depressive-like behavior was assessed using the splash and forced swimming tests, while motor ability was evaluated using the rotarod and open field tests. On day 15, hippocampal tissue was collected for immunoreactivity analysis. Results: MPTP treatment induced depressive-like behavior, which was significantly reversed by PFEU, as evidenced by increased grooming and decreased immobility. No motor coordination or locomotion deficits were observed. Furthermore, PFEU treatment prevented the MPTP-induced increase in hippocampal α-synuclein, p-p53, and Bax while restoring Bcl-2 levels, suggesting neuroprotective effects through the modulation of apoptotic pathways and α-synuclein. Conclusions: These findings support PFEU's potential as a neuroprotective agent for MPTP-induced depressive-like behavior in female rats, highlighting its molecular mechanisms.

Background/Objectives: The p48 MW HPC is a novel low-profile flow diverter covered by a hydrophilic polymer coating with antithrombogenic properties, which may reduce ischemic complications and enable a single antiplatelet therapy after insertion of the stent. In this single-center experience, we describe the efficacy of this device, focusing on the illustration of different therapeutic indications and the outcome in various clinical settings with regard to vessel anatomy, bleeding state, and aneurysm configuration. Methods: We retrospectively reviewed our database for all patients being treated with a p48 MW HPC flow diverter between February 2019 and July 2021. The efficacy of the treatment was evaluated according to the O'Kelly-Marotta (OKM) scale in the last digital subtraction angiography (DSA) follow-up. Information on complications and medications were collected from our medical records. In addition, to illustrate different indications and clinical settings, we present six of these cases in closer detail. Results: 18 aneurysms in 14 patients were treated with the p48 MW HPC flow diverter and in one case with an additional Derivo device. Periprocedural events occurred in 28.6% of the treated patients, which were all successfully resolved within the same session. Follow-up examination information was available for 67% of patients, of which 75% showed complete occlusion of the aneurysm and 83.3% showed a favorable occlusion result (OKM C-D). Two patients with ruptured aneurysms received a single antiplatelet therapy with ASA without thrombotic complications, at least in the short term. New braid deformation patterns were observed in 16.6% at the follow-up examination, but none with subsequent clinical significance. Conclusions: The p48 MW HPC is safe and effective in the treatment of a wide spectrum of differently configurated, ruptured, and unruptured aneurysms. Single antiplatelet therapy might be an option in selected cases.

It was a great pleasure to be the guest editor for the Brain Sciences Special Issue on understanding the use of rehabilitation devices in neurological diseases [...].

Background: The Autism Spectrum Disorder (ASD) characteristic of difficulties in social communication and interaction has been previously associated with elevated anxiety and the degree of mental effort required to understand and respond to social cues. These associations have implications for the mental health of autistic youth, but they are usually based on correlational statistics between measures of anxiety and social interaction demands that are collected in formal psychological testing settings. Another index of mental effort that has been found to correlate with anxious arousal is gamma wave activity, which is measured via EEG.

Methods: To compare data from both of these indicators of mental effort and anxiety, a two-stage study was conducted using (1) standardized test data and (2) in vivo EEG data in a low-demand social setting.

Results: As well as significant associations between social cognition and anxiety from standardized scales, there were also meaningful relationships between social cognition and gamma wave activity.

Conclusions: Because gamma wave activity represents the highest level of cognitive complexity for brain activity, is an index of hypervigilance under threatening conditions, and has been associated with anxiety in autistic youth, these findings suggest that even low-level demand social interaction settings may initiate high-level anxiety-related behaviour in autistic youth.

Background/objectives: Studies on executive functions in child sex offenders relate their findings to the presence of pedophilia, but they are not able to distinguish between paraphilia and abuse. It is therefore this lack of a distinction that leads us to complement the existing information. Thus, the purpose of this review is to find all available evidence on the neurocognitive and neuroanatomical differences in executive functions among pedophilic and non-pedophilic child sex offenders, and non-offender pedophiles.

Methods: The present review, in accordance with the PRISMA statement, ran a systematic search of three databases (Web of Science, Scopus and ProQuest). This search identified 5697 potential articles, but only 16 studies met all the inclusion criteria. Most of the studies were conducted in Europe, using a cross-sectional design with a convenience sample.

Results: The results showed alterations in frontal, temporal and parietal structures related to executive functions (e.g., response inhibition) in child sexual offenders, regardless of the presence of pedophilia.

Conclusions: In summary, there are differences in brain structure underlying executive functions related to child sexual abuse, but not to pedophilia as such.

Background: The Default Mode Network (DMN) is involved in self-referential and emotional processes, while the insula integrates emotional and interoceptive signals. Functional connectivity between the insula and the DMN is proposed to enhance these processes by linking internal bodily states with self-referential thoughts and emotional regulation. Heart Rate Variability (HRV), a measure of parasympathetic regulation of cardiac activity, has been associated with the capacity to regulate autonomic arousal. This study explored the relationship between insula-DMN functional connectivity and HRV. We hypothesized that (1) insula's functional activity and volume would be related to HRV; (2) insula activation would be functionally connected with the DMN; and (3) stronger insula-DMN connectivity would correlate with higher HRV.

Methods: Forty-three healthy adults underwent a structural and functional MRI acquisition to assess insula-DMN connectivity during resting state. HRV was measured also at rest using the BIOPAC system.

Results: A significant positive correlation was found between insula-DMN connectivity, but no correlation was observed between insula-DMN connectivity and HRV. We also found a positive significant association between left insula volume and HRV.

Conclusions: These findings suggest that while the AI and DMN are functionally interconnected, this connectivity may not be directly related to HRV. The results highlight the complexity of the relationship between brain connectivity and autonomic function, suggesting that other factors may influence HRV.