Frontiers in Integrative Neuroscience最新文献

Acquired spatial representations are not static. Each re-exposure to the spatial environment stimulates retrieval of the stored experience followed by information re-encoding, including updating if the environment has changed. It remains unclear if the same neurons are involved in these three events. Here, we used a multiplexed fluorescence in situ hybridization (FISH) approach that detected "time-locked" nuclear immediate early gene (IEG) expression to identify hippocampal neuronal ensembles that were engaged in the acquisition of a spatial representation, as well as its subsequent stabilization and/or updating. Responses were assessed in distal CA1 (dCA1) and proximal CA1 (pCA1) of the dorsal hippocampus of male rats. Homer1a was used to detect neuronal recruitment triggered by novel learning of a holeboard environment (HB). cFos and Arc expression were used to detect ensemble stability and/or expansion, or ensemble remodeling, respectively, that was triggered by animal exposure to the now familiar HB that included novel objects (HBO) 25 min after the initial HB exposure. Novel HB exposure resulted in nuclear Homer1a expression in both dCA1 and pCA1. Subsequent HBO triggered significant cFos and Arc expression only in dCA1. IEG co-labeling (Homer1a/cFos, Homer1a/Arc and Homer1a/cFos/Arc) was also only evident in dCA1, reflecting both re-iteration and remodeling of dCA1, but not pCA1 ensembles. In sum, we show that the contiguous acquisition and updating of spatial representations recruits distinct populations of CA1-neurons reflecting ensemble selection and stabilization, as well as ensemble remodeling. Moreover, whereas dCA1 and pCA1 are involved in the acquisition of the original spatial representation, only dCA1 is engaged in representation updating related to changes in spatial content information.

Introduction: Several disciplines have explored the relationship between autism spectrum disorder (ASD) and music, though most insights derive from cognitive sciences. This systematic review and meta-analysis synthesize evidence on the therapeutic effects of music-based interventions (MI) on communication, behavior, social engagement, attention, and quality of life in autistic individuals. It also examines how participants perceive and process music, situating therapeutic findings within this perceptual framework.

Methods: From a total of 346 publications screened in PubMed, Cochrane Library, and WILEY Online Library databases, 120 were included, of which 15 met the criteria for quantitative evaluation and meta-analysis, to assess the state- of-the-art of research on music and autism in the fields of neuropsychology and cognitive sciences. The reviewed studies span a range of methodologies, including randomized controlled trials and qualitative research, and incorporate diverse MI strategies, such as active music-making, structured listening, and improvisational techniques.

Results: Despite methodological heterogeneity, the findings suggest a moderate overall beneficial effect of MI, particularly in enhancing social interaction (z = 1.89, p-value = 0.06), verbal communication-especially vowel articulation (z = 2.93, p-value = 0.01), behavior (z = 1.92, p-value = 0.06; after outlier removal), and quality of life (z = 1.67, p-value = 0.09).

Discussion: This study highlights music's potential as a non-invasive, engaging therapeutic medium that elicits emotional, cognitive, and social responses in individuals on the spectrum. Given evidence of context-sensitive and domain-specific strengths in musical abilities, music emerges as a promising therapeutic approach. Future studies should investigate individual variability in response to MI, aim to standardize outcome measures, and assess long-term effects. Such efforts will support more personalized, neurodiversity-affirming therapeutic models in autism care.

Context-sensitive behaviors are crucial for the adaptive success of many organisms. Investigating neural processes that facilitate context-sensitive behavior requires knowledge of the molecular signaling and anatomical brain connectivity within and between relevant brain networks. Here, we outline the roles of oxytocin and dopamine signaling systems in context-sensitive singing in songbirds. Additionally, using the recently compiled songbird connectome, we review anatomical connectivity between vocal-motor and social brain networks that may facilitate context-sensitive singing. We present a model for context-sensitive adaptability of singing behavior in songbirds. We propose that the medial preoptic nucleus of the hypothalamus may serve as the output nucleus of the social behavior network, influencing oxytocin-mediated dopamine delivery to the vocal control network, in a context-sensitive manner. As many components of this model are conserved across species, we speculate that this proposed model can be generalized to facilitate context-sensitive motor behaviors across vertebrate species. Overall, we emphasize the importance of investigating each component of our proposed model, within a single species. This perspective aims to uncover how integrated neural mechanisms give rise to behavior.

Objective: This study utilized resting-state functional magnetic resonance imaging (rs-fMRI) to investigate changes in the spontaneous activity of the default mode network (DMN) in patients with primary dysmenorrhea (PD) through amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) analyses, aiming to explore their relationship with emotional regulation.

Methods: A total of 14 PD patients (the PD group) and 24 healthy controls matched by age, education, and gender (the HC group) underwent rs-fMRI scans. First, changes in ALFF were calculated for the PD group in comparison to the HC group, and brain regions with ALFF differences were used as regions of interest (ROIs). Subsequently, rs-fMRI was employed to detect differences in FC intensity between the two groups. Nine PD patients completed neuropsychological scale assessments, and correlations between their ALFF and FC values were analyzed.

Results: Compared to the HC group, the PD group exhibited decreased ALFF in the middle temporal gyrus, temporal pole, and superior temporal gyrus on the left side. Using the temporal pole as the ROI, the PD group also showed decreased connectivity between the temporal pole and the superior frontal gyrus (SFG), dorsolateral supplementary motor area (SMA), and precentral gyrus on the right side. A trend suggesting a positive correlation between ALFF values and anxiety was observed.

Conclusion: PD patients exhibited multidimensional functional changes in the brain. ALFF and FC may serve as sensitive biomarkers for distinguishing PD patients from healthy individuals.

Background: Anti-metabotropic glutamate receptor 1 (mGluR1) encephalitis is a rare autoimmune disease affecting cerebellar Purkinje cells. Only thirty-nine cases have been reported globally, with inconsistent documentation of treatments and outcomes. A systematic review is needed to identify prognostic factors and expand clinical understanding and treatment options.

Methods: Observational follow-up data of anti-mGluR1 encephalitis cases were collected. All anti-mGluR1 encephalitis cases published in the PubMed and Google Scholar databases in English before November 1, 2024 were included. Clinical information and possible predictive factors from both current and previously reported cases were statistically analyzed.

Results: We present a case of anti-mGluR1 encephalitis successfully treated with ofatumumab. During the patient's initial episode, she partially recovered after first-line treatment. She experienced a relapse 6 months later and was treated with ofatumumab, resulting in complete recovery. Forty cases of anti-mGluR1 encephalitis, including our case, were summarized. The prevalence was similar between men and women, with 50% of patients aged 40-59 years. The most common clinical manifestations were ataxia and dysarthria. Cerebrospinal fluid analysis showed normal white blood cell count and IgG index in 37.1% of patients. Almost half of the patients (48.6%) exhibited cerebellar atrophy on cerebral MRI scans at initial presentation or during follow-up. Only 25% of patients recovered completely. According to the modified Rankin Scale (mRS) scores at the last follow-up, patients with poor outcome (n = 13, 32.5%) had a lower proportion of first-line immunotherapy (62%, P = 0.017) and a longer follow-up time (median 36 months, P = 0.038).

Conclusion: The peak incidence of anti-mGluR1 encephalitis occurs between ages of 40-59 years. More than one-third of patients have normal cell counts and IgG index in the cerebrospinal fluid. Therefore, patients suspected of having this encephalitis should be tested for the presence of anti-mGluR1 antibodies in serum and cerebrospinal fluid. Notably, the first-line immunotherapy may be a critical factor influencing clinical outcomes.

Background: Central vertigo and peripheral vertigo are common clinical conditions with different underlying pathophysiologies. The identification of reliable biomarkers for differential diagnosis remains a challenge.

Objectives: This study aimed to explore the differential expression of CCL4L2 in the serum of patients with central and peripheral vertigo and assess its diagnostic potential.

Methods: A total of 180 patients (90 central vertigo, 90 peripheral vertigo) were enrolled. RNA sequencing was on serum samples to identify differentially expressed genes (DEGs). Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis revealed relevant biological pathways. The expression of CCL4L2 was measured using RT-qPCR, and its diagnostic performance was evaluated by Receiver operating characteristic (ROC) curve analysis. The correlation between CCL4L2 expression and biomarkers NSE and S100β was also assessed.

Results: RNA sequencing revealed significant differences in gene expression between central vertigo and peripheral vertigo groups. The KEGG pathway analysis identified several enriched pathways, including NF-κB signaling, where CCL4L2 was a key gene. CCL4L2 expression was significantly higher in the CV group compared to the PV group (p < 0.001). ROC analysis demonstrated high diagnostic accuracy for CCL4L2 in distinguishing CV from PV (AUC = 0.909, p < 0.001). Additionally, moderate positive correlations were observed between CCL4L2 and NSE (r = 0.475, p < 0.001), and a weaker correlation with S100β (r = 0.364, p < 0.001).

Conclusion: CCL4L2 may serve as a potential biomarker for differentiating central from peripheral vertigo. Its expression is closely associated with inflammatory pathways, making it a promising target for further investigation in vertigo diagnostics.

Reward processing, which ensures survival, has evolved to also shape emotions, learning, and overall well-being. While traditional models of reward have focused predominantly on central neural circuits, emerging evidence underscores the role of peripheral bodily signals. This represents a new opportunity by which we may understand neurological and neuropsychiatric health. In this review, we explore the gut-brain and heart-brain interfaces in reward processing, delineating their contributions across distinct phases of reward and offering insights into their bioenergetic significance. By framing this interplay within an adaptive and clinical context, we propose new avenues for understanding and treating neuropsychiatric disorders through a mind-body medicine lens.

There is increasing interest in the utility of electrophysiological measures such as resting EEG and evoked potential (EPs) to serve as biomarkers to facilitate therapeutic development for rare genetic neurodevelopmental disorders (NDDs). Research on this topic thus far has been encouraging, but has also revealed the necessity for unique methods when acquiring EEG and EPs in children with genetic NDDs. Details of these methods are typically beyond the scope of research publications, yet are crucial to the quality and ultimately, usability of the data. In the current manuscript, we detail the methods that we have developed for acquiring EEG and EPs as part of multi-site studies with participants with Rett syndrome, CDKL5 deficiency disorder, MECP2 duplication syndrome, and FOXG1 syndrome. By making our methods accessible, we hope to support other groups interested in acquiring EEG and/or EPs as part of clinical trials or research studies with individuals with genetic NDDs, including groups without prior experience with EEG/EP acquisition. The paper is presented as step-by-step procedures followed by a discussion of issues that may arise during acquisition and ways to troubleshoot these issues. We then discuss considerations for choosing EEG equipment and study paradigms and briefly, considerations for data analysis.