NeuroSci最新文献

Ever since the discovery that neuronal tissue can utilize lactate as an aerobic substrate for mitochondrial adenosine triphosphate (ATP) production, a debate has ensued between those who have questioned the importance of lactate in brain energy metabolism and those who argue that lactate plays a central role in this process. The "neuron astrocyte lactate shuttle hypothesis" has sharpened this debate since it postulates lactate to be the oxidative energy substrate for activated neurons. Those who minimize lactate's role insist that a non-oxidative process they termed "aerobic glycolysis" supports brain activation, despite oxygen availability. To explain the paradox that the active brain would utilize the inefficient glycolysis over the much more efficient mitochondrial oxidative phosphorylation (OXPHOS) for ATP production, they suggested the "efficiency tradeoff hypothesis," where the inefficiency of the glycolytic pathway is traded for speed necessary for the information transfer of the active brain. In contrast, other studies reveal that oxidative energy metabolism is the process that supports brain activation, refuting both the "aerobic glycolysis" concept and the premise of the "efficiency tradeoff hypothesis". These studies also shed doubts on the usefulness of the blood oxygenation dependent functional magnetic resonance imaging (BOLD fMRI) method and its signal as an appropriate tool for the estimation of brain oxygen consumption, as it is unable to detect any oxygen present in the extravascular brain tissue.

Per- and polyfluoroalkyl substances are persistent environmental contaminants increasingly implicated in neurotoxicity. Establishing causality and mechanisms relevant to Alzheimer's disease, Parkinson's disease, and multiple sclerosis requires human-relevant systems that capture exposure, barrier function, and brain circuitry. We review advanced cellular platforms-iPSC-derived neuronal and glial cultures, cerebral and midbrain organoids, and chip-based microphysiological systems-that model disease-relevant phenotypes (Aβ/tau pathology, dopaminergic vulnerability, myelination defects) under controlled PFAS exposures and defined genetic risk backgrounds. Modular, fluidically coupled BBB-on-chip → brain-organoid microphysiological systems have been reported, enabling chronic, low-dose PFAS perfusion under physiological shear, real-time barrier integrity readouts such as transepithelial/transendothelial electrical resistance (TEER), quantification of PFAS partitioning and translocation, and downstream neuronal-glial responses assessed by electrophysiology and multi-omics. Across platforms, convergent PFAS-responsive processes emerge-mitochondrial dysfunction and oxidative stress, lipid/ceramide dysregulation, neuroinflammatory signaling, and synaptic/network impairments-providing a mechanistic scaffold for biomarker discovery and gene-environment interrogation with isogenic lines. We outline principles for exposure design (environmentally relevant ranges, longitudinal paradigms), multimodal endpoints (omics, electrophysiology, imaging), and cross-lab standardization to improve comparability. Together, these models advance the quantitative evaluation of PFAS neurotoxicity and support translation into risk assessment and therapeutic strategies.

Mild traumatic brain injury (mTBI) frequently causes subtle brain changes that are difficult to detect with conventional diagnostic approaches. In this exploratory pilot study, we combined tri-exponential intravoxel incoherent motion (IVIM) and pseudocontinuous arterial spin labeling (pCASL) MRI with Multimodal Canonical Correlation Analysis and joint independent component analysis (mCCA+jICA) to identify imaging signatures distinguishing mTBI patients from healthy controls (HCs) and their associations with clinical function. Cerebral blood flow (CBF) and IVIM-derived metrics were extracted from 90 brain regions in 19 mTBI patients and 24 HCs, and multivariate components were identified using mCCA+jICA. Two independent components (IC2, IC15) showed group differences at the uncorrected level (p < 0.05) but did not survive false discovery rate (FDR) correction. IC2 correlated positively with CBF and perfusion fraction (F_p) and negatively with tissue diffusion fraction (F_s), consistent with reduced vascular integrity in mTBI, while IC15 showed similar trends. One component correlated with Glasgow Outcome Scale-Extended (GOS-E) scores (uncorrected p = 0.046). Although this study is preliminary and limited by a small sample size, our findings suggest that mTBI is associated with perfusion and microstructural alterations, particularly in subcortical regions, and demonstrate the potential value of combining IVIM and ASL within multivariate fusion frameworks to reveal patterns not captured by single-modality approaches.

Background: Glioblastomas (GBMs) in eloquent areas, particularly within the motor system, represent a significant surgical challenge due to the risk of postoperative neurological deficits. This study evaluates the effectiveness of a structured preoperative protocol, including nTMS-guided motor mapping, to optimize surgical outcomes and minimize neurological deficits, with a particular focus on the timing of adjuvant oncological therapy initiation.

Methods: A retrospective analysis was conducted on 44 GBM patients, divided into two groups: 11 with motor area lesions (group A) and 33 with non-eloquent lesions (group B). All patients underwent a standardized preoperative protocol. Surgical outcomes (EORs), neurological function (MRC score and KPS index), time to oncological therapy initiation and survival (OS and PFS) were compared between groups.

Results: Both groups achieved high rates of GTR without significant differences in EOR (72.7% group A vs. 78.8% group B). Although group A exhibited a higher incidence of postoperative motor deficits, motor function at three-month follow-up was similar between groups. Time to initiation of oncological therapy did not differ between groups (40.6 days group A vs. 41.9 days group B, p = 0.719), highlighting that preservation of motor function helped minimize delays in starting oncological therapy. No significant differences were found in survival outcomes.

Conclusions: A structured preoperative protocol incorporating nTMS motor mapping allows for safe and aggressive resection of motor-area GBMs. This approach effectively mitigates the risk of delays in initiating adjuvant oncological therapy, optimizing the patient prognosis. Further studies are needed to explore the long-term benefits of this protocol in both functional and oncological outcomes.

Several recent studies have utilized neuroimaging to delineate the localization and function of brain regions involved in language. However, many uncertainties persist regarding the organization of the linguistic system in the human brain. The aim of the present study was to characterize the structural changes produced in a sample of 9 patients with post-stroke aphasia (4 women; mean age = 60 years, SD = 14.86) and their relationship with performance in the entire Boston Diagnostic Aphasia Examination (BDAE). Magnetic Resonance Imaging was acquired from the brain of each patient and brain lesions were assessed. Disconnection's severity of each white matter tract by embedding the lesion into the streamline tractography atlas of the Human Connectome Project was analyzed, and grey matter lesion load using a 7-Network Cortical parcellation template was estimated, with additional subcortical, cerebellar and brainstem parcels. Finally, all data obtained was correlated with performance in the BDAE. Somatomotor network correlated with repetition scale. The disconnection of the left acoustic radiation and inferior longitudinal fasciculus correlated with repetition sub-scale. Finally, the left U-fibers correlated with severity (a BDAE sub-scale that assesses the patient's communicative skills), conversational speech and reading sub-scales. These findings emphasized that the disconnection of these fronto-parieto-temporal structures correlate with deficits in repetition, beyond the classical hypothesis attributing such deficits solely to the impairment of the arcuate fasciculus.

Stroke is the second-largest cause of death and disability worldwide, and many patients require intensive care for airway compromise, hemodynamic instability, cerebral edema, or systemic complications. This review summarizes key aspects of ICU management in both acute ischemic stroke (AIS) and hemorrhagic stroke (HS). Priorities are airway protection, oxygenation, individualized blood pressure targets, and strict control of temperature and glucose. Neurological monitoring and prompt management of intracranial pressure (ICP), together with timely surgical interventions (hemicraniectomy or hematoma evacuation), are central to acute care. Seizures are treated promptly, while routine prophylaxis is not recommended. Prevention of aspiration pneumonia, venous thromboembolism, infections, and other intensive care unit (ICU) complications is essential, along with early nutrition, mobilization, and rehabilitation. Prognosis and decisions about intensity of care require shared discussions with families and involvement of palliative services, when appropriate. Many practices remain based on observational data or extrapolation from other populations, underlining the need for stroke-specific clinical trials. Outcomes are consistently better when patients are managed in specialized stroke or neurocritical care units with a multidisciplinary treatment approach.

Neuropsychiatric interest in the relationship between glucose metabolism and criminal behavior dates back nearly a century. In particular, hypoglycemia was thought to play a causative role in some criminal acts, especially non-planned incidents involving impulsivity and in-the-moment risk-taking or aggression. While interest in carbohydrate metabolism in forensic populations faded in the 1990s, recent years have witnessed a renewed interest in metabolic dysfunction, mental health, and cognition. This area of research has grown increasingly robust, bolstered by mechanistic discoveries, epidemiological work, and intervention trials. Advances in microbiome (legalome) sciences, aided by omics technologies, have allowed researchers to match objective markers (i.e., from genomics, epigenomics, transcriptomics, and metabolomics) with facets of cognition and behavior, including aggression. These advances, especially the concentrated integration of microbiome and omics, have permitted novel approaches to the subject of glucose metabolism, and cast new light on older studies related to justice involvement. With current technologies and contemporary knowledge, there are numerous opportunities for revisiting the subject of glucose metabolism in the context of neurolaw. Here in this viewpoint article, we reflect on the historical research and emergent findings, providing ideation for future directions.

Background: The skin-to-transverse process distance (st) correlates with the skin-to-dural sac depth (d) and may be used to estimate optimal angles for perpendicular needle insertion using the formula inverse cosine d/√(1 + d²), as outlined in free visual guides.

Objective: We aimed to analyze the relationship between the transverse process and dural sac depth at lumbar levels relevant to spinal anesthesia and to determine the range of planes where perpendicular paramedian needle insertion is feasible when midline access is not viable.

Methods: Ten ex vivo trunks were flexed using an abdominal support, and CT scans were performed. Correlations between the transverse process and dural sac depth were evaluated from L3 to S1. Perpendicular planes at the level of needle paths were examined at L3-L4 and L4-L5. Median path viability was assessed.

Results: The transverse process aligned with the dorsal dural sac at L3, the posterior third at L4, and the middle zone at L5 or S1. Median needle insertion was not viable in 20-30% of L4-L5 and L3-L4 levels, respectively. However, paramedian access was possible. The vertical range of viable paramedian planes was 8.7 ± 2.9 mm (L4-L5) and 7.9 ± 1.9 mm (L3-L4). Coronal reconstructions showed that the upper level of the transverse process correlates with the skin-perpendicular planes where insertion is likely to succeed.

Conclusion: Many elderly spines lack viable midline paths. The superior aspect of the transverse process serves as a useful landmark for estimating dural sac depth, calculating paramedian angles, and identifying the plane for successful perpendicular needle insertion.

The rising prevalence of neuroimmune disorders such as multiple sclerosis and fibromyalgia has renewed interest in the hygiene hypothesis, which posits that reduced early-life microbial exposure deprives the immune system of formative "noise" that calibrates thresholds of tolerance. We extended this framework by introducing stochastic resonance (SR), a system phenomenon in which optimally tuned noise enhances weak-signal detection in nonlinear networks, as a potential surrogate for missing microbial variability. As electrical noise and subthreshold stimulation have been shown to modulate cortical excitability and enhance perception, microbial noise may be necessary for sustaining immune plasticity. Conversely, a lack of stimulation, whether microbial or electrical, can lead to maladaptive states characterized by dysregulated signaling and heightened vulnerability to chronic inflammation. Evidence from immunology highlights noise-aware processes, such as T-cell receptor proofreading, NF-κB pulsatility, and cytokine quorum sensing, all of which exploit stochastic fluctuations. Computational tumor-immune models similarly suggest that tuned noise can optimize immune surveillance. Clinical data from neuroscience demonstrate that subsensory electrical noise improves motor excitability and sensory perception, whereas vagus nerve stimulation modulates inflammatory pathways, underscoring translational feasibility. We propose that SR reframes noise from a biological error to a therapeutic resource capable of recalibrating dysregulated neuroimmune thresholds. This conceptual synthesis positions microbial and electrical noise as parallel modulators of tolerance and outlines testable predictions with translational potential for neuroimmune disorders.

Background: Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental condition. Diagnosing ASD in adults, especially in milder forms, remains challenging due to camouflaging strategies, adaptive behaviors, and frequent psychiatric comorbidities. Despite increased awareness, there is a critical need to improve recognition and tailored interventions for adults with ASD. This study aims to examine the prevalence of psychiatric comorbidities among individuals diagnosed with ASD.

Methods: This retrospective cross-sectional study examined 64 adults diagnosed with ASD (n = 29 females, 45.3%; age: range, 18-57 years; mean ± SD, 30.9 ± 8.92), who accessed two university hospital outpatient units in Rome between September 2023 and January 2025. All participants were assessed using the Autism Diagnostic Observation Schedule, Second Edition-Module 4 (ADOS-2). Psychiatric comorbidities were evaluated using clinical assessments and the Mini-International Neuropsychiatric Interview (M.I.N.I.) Plus.

Results: All patients received an ASD diagnosis without intellectual disability. Forty-four (68.8%) presented with at least one psychiatric comorbidity, most commonly depressive (25.0%) and anxiety disorders (9.4%). Over half of the participants (57.4%) reported at least mild depressive symptoms, and 42.6% exhibited moderate to severe depressive levels.

Conclusions: High rates of psychiatric comorbidities, particularly mood and anxiety disorders, were observed, underscoring the importance of comprehensive, multidisciplinary assessment and individualized interventions. Further research using larger samples and rigorous methodologies is warranted to better characterize the ASD phenotype in adults and guide targeted therapeutic strategies.