Preserved functional organization of auditory cortex in two individuals missing one temporal lobe from infancy.

Human cortical responses to natural sounds, measured with fMRI, can be approximated as the weighted sum of a small number of canonical response patterns (components), each having interpretable functional and anatomical properties. Here, we asked whether this organization is preserved in cases where only one temporal lobe is available due to early brain damage by investigating a unique family: one sibling missing their left temporal lobe from infancy, another missing the right temporal lobe from infancy, and a third anatomically neurotypical. None of the siblings manifested behavioral deficits. We analyzed fMRI responses to diverse natural sounds within the intact hemispheres of these individuals and compared them to 12 neurotypical participants. All siblings manifested typical-like auditory responses in their intact hemispheres. These results suggest that the development of the auditory cortex in each hemisphere does not depend on the existence of the other hemisphere, highlighting the redundancy and equipotentiality of the bilateral auditory system.

Corrigendum: Neurocognitive health in LGBTQIA+ older adults: current state of research and recommendations.

[This corrects the article DOI: 10.3389/fnhum.2024.1394374.].

Long-term results of allogenic corneal lenticule of hyperopic SMILE for post-LASIK ectasia.

Post-laser-assisted in situ keratomileusis (LASIK) corneal ectasia is a severe complication of corneal refractive surgery, and cryopreserved lenticules from hyperopic small incision lenticule extraction (SMILE) may offer a promising treatment though their long-term safety and efficacy are still under investigation. In this prospective case series, six eyes from six patients with post-LASIK ectasia received lenticules (mean cryopreserved time: 63 days). The procedure involved lifting the corneal flap, implanting the lenticule, and repositioning the flap. Over a follow-up period of at least one year, uncorrected distance visual acuity (UDVA) improved from 1.52 ± 0.40 preoperatively to 0.74 ± 0.28 LogMAR. Two eyes gained one line of corrected distance visual acuity (CDVA), three gained two lines, and one gained over three lines. Spherical equivalents decreased from -14.67 ± 2.36 D to -8.75 ± 4.03 D (p = 0.02). Mean anterior K and total corneal refractive power decreased (p < 0.05). Thinnest corneal thickness increased from 359.2 ± 39.3 µm to 401.7 ± 53.4 µm (p = 0.02). These findings support the potential of cryopreserved lenticules for treating post-LASIK ectasia, though further refinement in refractive predictability is needed.

Unveiling differential gene co-expression networks and its effects on levodopa-induced dyskinesia.

Levodopa-induced dyskinesia (LID) refers to involuntary motor movements of chronic use of levodopa in Parkinson's disease (PD) that negatively impact the overall well-being of people with this disease. The molecular mechanisms involved in LID were investigated through whole-blood transcriptomic analysis for differential gene expression and identification of new co-expression and differential co-expression networks. We found six differentially expressed genes in patients with LID, and 13 in patients without LID. We also identified 12 co-expressed genes exclusive to LID, and six exclusive hub genes involved in 23 gene-gene interactions in patients with LID. Convergently, we identified novel genes associated with PD and LID that play roles in mitochondrial dysfunction, dysregulation of lipid metabolism, and neuroinflammation. We observed significant changes in disease progression, consistent with previous findings of maladaptive plastic changes in the basal ganglia leading to the development of LID, including a chronic pro-inflammatory state in the brain.

Quickly diagnosing Bietti crystalline dystrophy with deep learning.

Bietti crystalline dystrophy (BCD) is an autosomal recessive inherited retinal disease (IRD) and its early precise diagnosis is much challenging. This study aims to diagnose BCD and classify the clinical stage based on ultra-wide-field (UWF) color fundus photographs (CFPs) via deep learning (DL). All CFPs were labeled as BCD, retinitis pigmentosa (RP) or normal, and the BCD patients were further divided into three stages. DL models ResNeXt, Wide ResNet, and ResNeSt were developed, and model performance was evaluated using accuracy and confusion matrix. Then the diagnostic interpretability was verified by the heatmaps. The models achieved good classification results. Our study established the largest BCD database of Chinese population. We developed a quick diagnosing method for BCD and evaluated the potential efficacy of an automatic diagnosis and grading DL algorithm based on UWF fundus photography in a Chinese cohort of BCD patients.

ChatGPT and neurosurgical education: A crossroads of innovation and opportunity.

Large language models (LLM) have been promising recently in the medical field, with numerous applications in clinical neuroscience. OpenAI's launch of Generative Pre-trained Transformer 3.5 (GPT-3.5) in November 2022 and its successor, Generative Pre-trained Transformer 4 (GPT 4) in March 2023 have garnered widespread attention and debate surrounding natural language processing (NLP) and LLM advancements. Transformer models are trained on natural language datasets to predict and generate sequences of characters. Using internal weights from training, they produce tokens that align with their understanding of the initial input. This paper delves into ChatGPT's potential as a learning tool in neurosurgery while contextualizing its abilities for passing medical licensing exams and neurosurgery written boards. Additionally, possibilities for creating personalized case presentations and study material are discussed alongside ChatGPT's capacity to optimize the research workflow and perform a concise literature review. However, such tools need to be used with caution, given the possibility of artificial intelligence hallucinations and other concerns such as user overreliance, and complacency. Overall, this opinion paper raises key points surrounding ChatGPT's role in neurosurgical education.

Neural Correlates of Metacognition Impairment in Opioid Addiction.

BACKGROUND: Individuals with substance use disorder show impaired self-awareness of ongoing behavior. This deficit suggests problems with metacognition, which has been operationalized in the cognitive neuroscience literature as the ability to monitor and evaluate the success of one's own cognition and behavior. However, the neural mechanisms of metacognition have not been characterized in a population with drug addiction. METHODS: Community samples of participants with opioid use disorder (OUD) (n = 27) and healthy control participants (n = 29) performed a previously validated functional magnetic resonance imaging metacognition task (perceptual decision-making task along with confidence ratings of performance). Measures of recent drug use and addiction severity were also acquired. RESULTS: Individuals with OUD had lower metacognitive sensitivity (i.e., disconnection between task performance and task-related confidence) than control individuals. Trial-by-trial analyses showed that this overall group difference was driven by (suboptimally) low confidence in participants with OUD during correct trials. In functional magnetic resonance imaging analyses, the task engaged an expected network of brain regions (e.g., rostrolateral prefrontal cortex and dorsal anterior cingulate/supplementary motor area, both previously linked to metacognition); group differences emerged in a large ventral anterior cluster that included the medial and lateral orbitofrontal cortex and striatum (higher activation in OUD). Trial-by-trial functional magnetic resonance imaging analyses showed group differences in rostrolateral prefrontal cortex activation, which further correlated with metacognitive behavior across all participants. Exploratory analyses suggested that the behavioral and neural group differences were exacerbated by recent illicit opioid use and unexplained by general cognition. CONCLUSIONS: With confirmation and extension of these findings, metacognition and its associated neural circuits could become new, promising therapeutic targets in addiction.

IL-6 is associated with poor seizure control in low-grade glioma patients undergoing primary resection.

In this study, 198 patients with low-grade gliomas (LGGs) undergoing primary resection were evaluated for seizure status at 24 months after primary resection with the Engel classification of seizures, and 120 patients had good seizure control (class I) while 78 patients had poor seizure control (class II-IV). Multivariate analysis showed that cortex involvement, subtotal resection, serum IL-6 concentration, and neutrophil to lymphocyte ratio (NLR) were associated with poor seizure control. The area under curve (AUC) of serum IL-6 concentration, NLR and their combination applied in predicting poor seizure control was 0.756, 0.714, and 0.857, respectively. The AUC of combination prediction was significantly higher than those of individual prediction. Therefore, elevated serum IL-6 concentration was associated with poor seizure control in LLG patients undergoing primary resection and could be applied in predicting seizure control, and the predictive value could be elevated through adding other serum indices to IL-6.

Neural correlates of inattention in adults with ADHD.

In the last two decades, numerous magnetic resonance imaging (MRI) studies have examined differences in cortical structure between individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) and healthy controls. These studies primarily emphasized alterations in gray matter volume (GMV) and cortical thickness (CT). Still, the scientific literature is notably scarce in regard to investigating associations of cortical structure with ADHD psychopathology, specifically inattention within adults with ADHD. The present study aimed to elucidate neurobiological underpinnings of inattention beyond GMV and CT by including cortical gyrification, sulcal depth, and fractal dimension. Building upon the Comparison of Methylphenidate and Psychotherapy in Adult ADHD Study (COMPAS), cortical structure parameters were investigated using 141 T1-weighted anatomical scans of adult patients with ADHD. All brain structural analyses were performed using the threshold-free cluster enhancement (TFCE) approach and the Computational Anatomy Toolbox (CAT12) integrated into the Statistical Parametric Mapping Software (Matlab Version R2021a). Results revealed significant correlations of inattention in multiple brain regions. Cortical gyrification was negatively correlated, whereas cortical thickness and fractal dimension were positively associated with inattention. The clusters showed widespread distribution across the cerebral cortex, with both hemispheres affected. The cortical regions most prominently affected included the precuneus, para-, pre-, and postcentral gyri, superior parietal lobe, and posterior cingulate cortex. This study highlights the importance of cortical alterations in attentional processes in adults with ADHD. Further research in this area is warranted to elucidate intricacies of inattention in adults with ADHD to potentially enhance diagnostic accuracy and inform personalized treatment strategies.

Effect of excessive internet gaming on inhibitory control based on resting EEG and ERP.

Previous research indicates that individuals with Internet gaming disorder (IGD) show impaired inhibitory control and abnormal EEG/ERP patterns. However, it is unclear how those individuals with excessive Internet game use (EUG) but without addiction differ. This study examined inhibitory control, resting EEG, and ERP in EUG gamers compared to non-gamers. Fifteen participants in each group underwent 4-min eyes-closed EEG recordings and a color-word Stroop task. Results showed no significant differences in reaction time, accuracy, or P3 amplitude between EUG gamers and non-gamers. However, EUG gamers exhibited shortened P3 latency, which may suggest enhanced inhibitory control. Additionally, EUG gamers showed reduced theta and alpha band power during the resting state compared to non-gamers. These findings suggest that excessive gaming without addiction may enhance inhibitory control and influence brain activity differently from IGD.

NeuroLab 2.0: An Alternative Storyline Design Approach for Translating a Research-Based Summer Experience into an Advanced STEM+M Curriculum Unit that Supports Three-Dimensional Teaching and Learning in the Classroom.

In this case study, we describe an alternative storyline design approach that we adopted to translate an informal, out-of-school summer science experience with a strong emphasis on developmental neuroscience and data literacy into a more inclusive, replicable, and scalable experience for formal high school science instruction. Combining elements of problem- and project-based learning, a storyline is a curriculum model that engages students in the application of investigative science and engineering practices to incrementally build conceptual models that explain an observable (anchoring) phenomenon. Published reports on the storyline design process describe procedures and tools that are well suited to the creation of novel instructional units. However, these design methods are difficult to apply to projects aimed at translating pre-existing science experiences and resources into classroom storyline units. In this descriptive case study, we discuss a series of alternative design procedures that we utilized to achieve this adaptation. Our overarching project goal was to create the resources necessary to engage high school students in the construction of a multidimensional explanatory model for an unusual movement disorder that assimilates converging lines of behavioral, neuroanatomical, neurophysiological, molecular genetic, developmental, and cellular data. The methods described in this case study establish a design template for other biomedical scientists who are interested in adopting a storyline approach to bring aspects of their work or educational projects into science classrooms and into closer alignment with a new vision for science teaching and learning articulated in the National Research Council's A Framework for K-12 Science Education and the Next Generation Science Standards.

The influence of psilocybin on subconscious and conscious emotional learning.

Serotonergic psychedelics hold promise as a treatment modality for various psychiatric disorders and are currently applied in psychedelic-assisted psychotherapy. We investigated the learning effects of the serotonin receptor agonist psilocybin in a probabilistic cue-reward task with emotional cues in the form of neutral or fearful faces, presented either consciously or subconsciously. This study represents the first investigation into reinforcement learning with psilocybin. Across different dosages, psilocybin preserved learning effects and was statistically noninferior compared to placebo, while suggesting a higher exploratory behavior. Notably, the 20 mg group exhibited significantly better learning rates against the placebo group. Psilocybin induced inferior results with subconscious cues compared to placebo, and better results with conscious neutral cues in some conditions. These findings suggest that modulating serotonin signaling in the brain with psilocybin sufficiently preservers reinforcement learning.

Integrative neurovascular coupling and neurotransmitter analyses in anisometropic and visual deprivation amblyopia children.

The association between visual abnormalities and impairments in cerebral blood flow and brain region potentially results in neural dysfunction of amblyopia. Nevertheless, the differences in the complex mechanisms of brain neural network coupling and its relationship with neurotransmitters remain unclear. Here, the neurovascular coupling mechanism and neurotransmitter activity in children with anisometropic amblyopia (AA) and visual deprivation amblyopia (VDA) was explored. The neurovascular coupling of 17 brain regions in amblyopia children was significantly abnormal than in normal controls. The classification abilities of coupling units in brain regions differed between two types of amblyopia. Correlations between different coupling effects and neurotransmitters were different. The findings of this study demonstrate a correlation between the neurovascular coupling and neurotransmitter in children with AA and VDA, implying their impaired neurovascular coupling function and potential molecular underpinnings. The neuroimaging evidence revealed herein offers potential for the development of neural therapies for amblyopia.

Spatial navigation questionnaires as a supportive diagnostic tool in early Alzheimer's disease.

Impaired spatial navigation is early marker of Alzheimer's disease (AD). We examined ability of self- and informant-reported navigation questionnaires to discriminate between clinically and biomarker-defined participants, and associations of questionnaires with navigation performance, regional brain atrophy, AD biomarkers, and biomarker status. 262 participants (cognitively normal, with subjective cognitive decline, amnestic mild cognitive impairment [aMCI], and mild dementia) and their informants completed three navigation questionnaires. Navigation performance, magnetic resonance imaging volume/thickness of AD-related brain regions, and AD biomarkers were measured. Informant-reported questionnaires distinguished between cognitively normal and impaired participants, and amyloid-ß positive and negative aMCI. Lower scores were associated with worse navigation performance, greater atrophy in AD-related brain regions, and amyloid-ß status. Self-reported questionnaire scores did not distinguish between the groups and were weakly associated with navigation performance. Other associations were not significant. Informant-reported navigation questionnaires may be a screening tool for early AD reflecting atrophy of AD-related brain regions and AD pathology.

Integration of neuroscience into psychiatric training and practice: suggestions for implementation.

Mainstream psychiatric practice requires a solid grounding in neuroscience, an important part of the biopsychosocial model, allowing for holistic person-centred care. There have been repeated calls for better integration of neuroscience into training, although so far with less focus on implementation for life-long learning. We suggest that such training should be accessible and utilised by all psychiatrists, not solely those with a special interest in neuropsychiatry. By considering recent positive developments within the general psychiatry curricula and neuropsychiatric resource implementation, we propose strategies for how this can be progressed, minimising regional disparities within the growing world of virtual learning.

Lymphomatosis Cerebri: A diagnostic dilemma.

Background: Lymphomatosis cerebri (LC) is a rare manifestation of primary central nervous system lymphoma (PCNSL) with only a few cases reported in the literature, appearing as diffuse infiltrating process rather than a solitary mass. It is a non-Hodgkin's type of lymphoma and is usually of the B-cell type origin. Purpose: We intend to report this unique case of LC which came across as a diagnostic challenge. Methods: A 53-year-old gentleman presented with complaints of two episodes of seizures 24 h apart followed by postictal confusion for 10-15 min. He underwent multiple MRI scans and underwent a biopsy of the lesion which reported infection, but he did not benefit from the treatment. Result: The imaging was reviewed, suspicion of LC was raised and a review of histopathology was requested which later confirmed primary CNS lymphoma. Conclusion: LC is a rare but established manifestation of PCNSL which mimics multiple other conditions. Understanding of the imaging pattern is important in making the diagnosis and differentiating it from other mimic conditions.

Trivial Neck Bite Resulting in a Stroke in an 18-Month-Old Child: A Case Report.

Stroke is often viewed as a diagnosis found In the elderly with or without comorbidities, but it is vital to not rule it out in a pediatric patient presenting with signs and symptoms of stroke. Here, we present a case of an 18-month-old boy who arrived at the emergency department with left arm weakness and left-sided seizures a few minutes after a right-sided trivial neck bite that was initially overlooked by the parents until symptoms occurred. Urgent imaging further with a computed tomography scan of the brain revealed a hypodense lesion in the area covering the lateral part of the frontal lobe, insula, and parietal cortex of the right hemisphere. Subsequent CT cervical-cerebral angiogram revealed normal aortic arch, carotid, and vertebral arteries with no dissection, stenosis, or occlusion. However, there was a 4 mm-long occlusion of the M2 segment of the right middle cerebral artery (MCA) suggestive of emboli and subsequent low attenuation of the brain parenchyma in the anterior aspect of the right MCA vascular territory corresponding with the infarction. The objective of this case report is to educate and inform both parents and medical professionals regarding the risk of neurological damage that can occur with minor head and neck trauma that is often overlooked and therefore the importance of ruling it out with necessary imaging modalities.

Brain vital sign monitoring of sleep deprivation detects situational cognitive impairment.

Objective, rapid evaluation of cognitive function is critical for identifying situational impairment due to sleep deprivation. The present study used brain vital sign monitoring to evaluate acute changes in cognitive function for healthy adults. Thirty (30) participants were scanned using portable electroencephalography before and after either a night of regular sleep or a night of total sleep deprivation. Brain vital signs were extracted from three established event-related potential components: (1) the N100 (Auditory sensation); (2) the P300 (Basic attention); and (3) the N400 (Cognitive processing) for all time points. As predicted, the P300 amplitude was significantly reduced in the sleep deprivation group. The findings indicate that it is possible to detect situational cognitive impairment due to sleep deprivation using objective, rapid brain vital sign monitoring.