Progress in brain research最新文献

From the time of Hippocrates to the early 19th century, knowledge advanced but that was an uneven process. Anatomy was basically defined by Galen and remained cast in stone until the early 16th century. Neuroanatomy was described by Galen but had little practical value, as brain surgery was not possible. The anatomy of the cranium was known and was largely correct. Care was taken to avoid the frontal air sinuses and the venous sinuses and the temporal region. The role of the brain in consciousness was not understood. It was considered the seat of the soul but there was a lack of understanding that damage to it could induce clinical symptoms such as stupor or paralysis. These were variously attributed to injuries to the meninges or the bone. This error was finally corrected in the 18th century when the brain was identified as responsible for much of the clinical disturbance following cranial trauma. All awareness that post traumatic neurological deficit was contralateral was ignored until the late 18th century, although several authors noted it. Likewise, the presence of CSF had to wait until the 18th century until it was recognized. Fissures were treated with trepanation, because of a perceived risk of infection developing between the bone and the dura. Depressed fracture fragments were elevated, replaced, or removed according to the details of the injury. Finally, for centuries surgeons blocked patients ears to reduce the sound of drilling, despite the fact that such a blocking would amplify the noise.

This brief chapter has a single purpose which is not directly related to cranial surgery. However, between Hippocrates and Celsus and Galen a number of improvements in the understanding of anatomy had been discovered and this chapter briefly outlines the nature and importance of these advances.

The aim of the present study was to examine the associations of adiposity and fitness on the preadolescent brain's response to acute exercise. In a sample of 58 children (ages 8-10; 19 females), demographic measures of age, sex, IQ, puberty, and socioeconomic status were considered. Children participated in a randomized crossover study, whereby they completed two different interventions; seated rest or treadmill walking, counterbalanced across participants. Associations between adiposity measures (standardized body mass index [BMI-Z], whole body percent fat [%Fat], visceral adipose tissue [VAT]), cardiorespiratory fitness measures (VO₂max and Fat-Free VO₂) were assessed on self-reported measures of mental wellbeing, and cognitive performance (response accuracy, reaction time) and neuroelectric (P3 amplitude and latency) indices of a Go/NoGo task following both exercise and rest interventions. Higher adiposity (whole-body percent fat, BMI-Z) was associated with higher trait anxiety (P's≤0.05) and disordered eating (P's≤0.05) scores. Higher fitness (VO₂max) was associated with lower childhood depression scores (P=0.02). Regression analyses yielded specific post-exercise neurocognitive associations with adiposity-related (VAT, BMI-Z), and fitness-related (FF-VO₂) outcomes, after controlling for post-rest neurocognitive outcomes. VAT was positively associated with post-exercise P3 ERP Latency for the Go task (P≤0.001); BMI-Z was negatively associated with P3 ERP amplitudes for the Go task (P's≤0.005); FF-VO₂ was negatively associated with P3 ERP latency for the Go/NoGo task (P's≤0.05), and positively associated with NoGo task accuracy (P≤0.001). Overall, adiposity and fat-free fitness measures yield sensitive and differential associations with neurocognitive performance after exercise and after rest interventions.

Empathy is a fundamental social ability that allows humans to infer others' emotions and intentions. Empathy is thought to be rooted in bodily sensations coming from the autonomic nervous system. In parallel, the functionality and perceptions coming from the autonomic nervous system could be improved by practicing activities that involve mind-body interactions, such as meditation. Furthermore, perceptions from the autonomic nervous system are thought to be important in the embodiment of abstract concepts. Consequently, in the current study, we collected data online from 581 participants and explored the associations between levels of empathy and (1) the practice of meditation, music, and sports; (2) the impact of self-report measures on bodily awareness and reactivity; and (3) the embodiment of abstract concepts in interoception. In line with previous studies, Meditators were found to have higher empathy scores than Non-Meditators. In addition, lower levels of autonomic reactivity in organs above the diaphragm were associated with higher empathy. Finally, we also observed that empathy was positively associated with interoceptive components of abstract concepts in those participants with high autonomic reactivity. Taken together, the results suggest that meditation practice and having low autonomic reactivity are associated with empathy, arguably through the downregulation of autonomic responses. Implications for mind-body interaction in meditation and its role in promoting empathy are discussed.

Background: Previous research has shown that mindfulness is associated with slower passage of time in everyday life, and with lower self-reported time pressure. This study investigates some of the potential mechanisms behind these relationships.

Methods: 318 participants submitted their responses to an online survey which collected data regarding passage of time judgments, time pressure, trait mindfulness, temperament, task load, and metacognitions about time. Using commonality and dominance analyses, we explored how these variables contributed, either alone or jointly, to predicting how fast (or slow) time seems to pass for participants, or how pressed for time they felt.

Results: Mindfulness and temperament had some overlaps in their ability to predict passage of time judgments and time pressure for durations at the month and 2-month scales. The temperamental trait of extraversion/surgency, as well as the Non-judging and Non-reacting facets of mindfulness were among the best predictors of passage of time judgments and time pressure. Attention-related variables were mainly related to time perception via their involvement in joint effects with other variables. Results also suggested that metacognitions about time interacted with other variables in predicting passage of time judgments, but only at the month scale. Finally, among all the variables included in this study, task load had the highest degree of involvement in predictions of self-reported time pressure at the week and month scales, but it contributed relatively little to predicting passage of time judgments.

Conclusions: Results suggest that mindfulness relates to passage of time through its involvement in inferential processes. The data also shows how different factors are related to PoTJ at different time scales. Finally, results suggest the existence of both similarities and differences in how passage of time and time pressure relate to the other included variables.

This paper introduces a novel approach to enhance the classification accuracy of hemodynamic response function (HRF) signals acquired through functional near-infrared spectroscopy (fNIRS). Leveraging a semi-supervised learning (SSL) framework alongside a filtering technique, the study preprocesses HRF data effectively before applying the SSL algorithm. Collected from the prefrontal cortex, HRF signals capture variations in oxyhemoglobin (oxyHb) and deoxyhemoglobin (deoxyHb) levels in response to odor stimuli and air state. Training the classification model on a dataset containing filtered and feature-extracted HRF signals led to significant improvements in classification accuracy. By comparing the algorithm's performance before and after employing the proposed filtering technique, the study provides compelling evidence of its effectiveness. These findings hold promise for advancing functional brain imaging research and cognitive studies, facilitating a deeper understanding of brain responses across various experimental contexts.

Spinocerebellar ataxia type 3 (SCA3), or Machado-Joseph disease, presents as a cerebellar cognitive affective syndrome (CCAS) and represents the predominant SCA genotype in Taiwan. Beyond cerebellar involvement, SCA3 patients exhibit cerebral atrophy. While prior neurodegenerative disease studies relied on voxel-based morphometry (VBM) for brain atrophy assessment, its qualitative nature limits individual and region-specific evaluations. To address this, we employed fractal dimension (FD) analysis to quantify cortical complexity changes in SCA3 patients. We examined 50 SCA3 patients and 50 age- and sex-matched healthy controls (HC), dividing MRI cerebral gray matter (GM) into 68 auto-anatomical subregions. Using three-dimensional FD analysis, we identified GM atrophy manifestations in SCA3 patients. Results revealed lateral atrophy symptoms in the left frontal, parietal, and occipital lobes, and fewer symptoms in the right hemisphere's parietal and occipital lobes. Focal areas of atrophy included regions previously identified in SCA3 studies, alongside additional regions with decreased FD values. Bilateral postcentral gyrus and inferior parietal gyrus exhibited pronounced atrophy, correlating with Scale for the Assessment and Rating of Ataxia (SARA) scores and disease duration. Notably, the most notable focal areas were the bilateral postcentral gyrus and the left superior temporal gyrus, serving as imaging biomarkers for SCA3. Our study enhances understanding of regional brain atrophy in SCA3, corroborating known clinical features while offering new insights into disease progression.

The only instruments for opening the cranium considered in this chapter are drills, and in some cases facilitated with a special chisel called a lenticular. There were two kinds of trepan. The modiolus was the Latin name for a crown trepan which had a circular base with teeth which sawed a hole. Then there were the non-penetrating trepans which had a bit shaped to prevent unwanted penetration. They made small openings which could be joined by chisels to remove altogether larger areas of bone than were accessible to modioli. They were the favored instrument from the ancient world up to the Renaissance. At the beginning of the Renaissance, there was a move toward greater use of crown trepans and various methods were applied to stop them sinking too far inward. These included wings in the outer wall and changing the shape of the bit from cylindrical to conic. In time preferences returned to the cylindrical shape and larger diameters. There was also two instruments called lenticulars, the illustrations of which have been confused in the literature. It is now clear that the Roman instrument was shaped to cut the cranium and minimize the need for trepanation. The Renaissance instrument had a different shape and was used to smooth rough bone edges and excise spicules penetrating the meninges. They were simply two different instruments to which the same name was applied.

The literature suggesting acute exercise benefits cognitive function has been largely confined to single cognitive domains and measures of reliant on measures of central tendencies. Furthermore, studies suggest cognitive intra-individual variability (IIV) to reflect cognitive efficiency and provide unique insights into cognitive function, but there is limited knowledge on the effects of acute exercise on IIV. To this end, this study examined the effects of acute exercise on three different cognitive domains, executive function, implicit learning, and hippocampal-dependent memory function using behavioral performance and event-related potentials (ERPs). Furthermore, this study also sought to explore the effects of an acute bout of exercise on IIV using the RIDE algorithm to separate signals into individuals components based on latency variability. Healthy adult participants (N=20; 26.3±4.8years) completed a randomized cross-over trial with seated rest or 30min of high intensity cycling. Before and after each condition, participants completed a cognitive battery consisting of the Eriksen Flanker task, implicit statistical learning task, and a spatial reconstruction task. While exercise did not affect Flanker or spatial reconstruction performance, there were exercise related decreases in accuracy (F=5.47; P=0.040), slowed reaction time (F=5.18; P=0.036), and decreased late parietal positivity (F=4.26; P=0.046). However, upon adjusting for performance and ERP variability, there were exercise related decreases in Flanker reaction time (F=24.00; P<0.001), and reduced N2 amplitudes (F=13.03; P=0.002), and slower P3 latencies (F=3.57; P=0.065) for incongruent trials. These findings suggest that acute exercise may impact cognitive IIV as an adaptation to maintain function following exercise.

Coffee is the most popular beverage in the world and, aside from tea and water, the most often consumed caffeine-containing beverage. Because of its high caffeine concentration, it is typically classified as a stimulant. There are other bioactive ingredients in coffee besides caffeine. The coffee beverage is a blend of several bioactive substances, including diterpenes (cafestol and kahweol), alkaloids (caffeine and trigonelline), and polyphenols (particularly chlorogenic acids in green beans and caffeic acid in roasted coffee beans). Caffeine has also been linked to additional beneficial benefits such as antioxidant and anti-inflammatory properties, which change cellular redox and inflammatory status in a dose-dependent manner. Pyrocatechol, a constituent of roasted coffee that is created when chlorogenic acid is thermally broken down, has anti-inflammatory properties as well. It is postulated that coffee consumption reduces neuroinflammation, which is intimately linked to the onset of neurodegenerative disorders like Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and Huntington's disease (HD). This review provides an overview of the most recent studies regarding coffee's possible benefits in preventing brain inflammation and neurodegenerative disorders.