This review examines how modern genomics helps explain why the human brain differs from other mammals at molecular and cellular levels. By comparing datasets from various species—including primates and ancient humans—researchers can pinpoint genetic regions shaped by evolution. The authors suggest a "genome-up" framework that links these evolutionary genetic changes to complex human cognitive and social behaviors.
This study investigates how regular coffee consumption influences the microbiota–gut–brain axis in healthy adults. By comparing habitual drinkers with non-drinkers and observing effects during caffeine abstinence and reintroduction, researchers found that coffee significantly alters gut microbial composition and metabolite profiles.
The findings suggest that coffee impacts host physiology and cognitive functions through both caffeine-dependent and caffeine-independent mechanisms.
- Significant shifts in fecal microbiome composition, specifically increasing species like Cryptobacterium and Eggerthella.
- Changes in neuroactive metabolites such as GABA and indole-3-propionic acid.
- Behavioral observations showing coffee drinkers exhibit higher impulsivity and emotional reactivity, while non-drinkers show better memory performance.
- Evidence that decaffeinated coffee can still influence gut microbiota and improve sleep quality and physical activity.
- The identification of specific metabolites that link microbial changes to cognitive outcomes.
The findings suggest that coffee impacts host physiology and cognitive functions through both caffeine-dependent and caffeine-independent mechanisms.
- Significant shifts in fecal microbiome composition, specifically increasing species like Cryptobacterium and Eggerthella.
- Changes in neuroactive metabolites such as GABA and indole-3-propionic acid.
- Behavioral observations showing coffee drinkers exhibit higher impulsivity and emotional reactivity, while non-drinkers show better memory performance.
- Evidence that decaffeinated coffee can still influence gut microbiota and improve sleep quality and physical activity.
- The identification of specific metabolites that link microbial changes to cognitive outcomes.
This perspective article challenges the traditional view that categorization is a final stage of perception occurring after feature detection and memory retrieval. Instead, the authors propose that categorization is an integral computational strategy implemented throughout all stages of neural signal processing. By utilizing predictive feedback signals to organize feedforward processing, the brain creates a neural context that enables continuous grouping of objects, actions, or events into equivalence clusters.
Key points include:
- Categorization occurs from the beginning of signal processing rather than as an end stage.
- The role of predictive feedback in creating a neural context for organization.
- Evidence drawn from neuroanatomy, electrophysiology, and cognitive science.
- Implications for understanding neuropsychiatric disorders and future research directions.
Key points include:
- Categorization occurs from the beginning of signal processing rather than as an end stage.
- The role of predictive feedback in creating a neural context for organization.
- Evidence drawn from neuroanatomy, electrophysiology, and cognitive science.
- Implications for understanding neuropsychiatric disorders and future research directions.
This study investigates the temporal dynamics of EEG power during breath-watching meditation, a focused-attention practice from the Isha Yoga tradition.
Analyzing 128-channel EEG data from meditation-naïve, novice, and advanced practitioners, researchers found that significant neurophysiological changes—including increased alpha, theta, and beta1 power—begin to emerge approximately 2 to 3 minutes after starting practice, peaking between 7 and 10 minutes.
Advanced meditators showed consistently higher theta and theta-alpha power throughout the session. This suggests that meditation has a rapid response influenced by experience level, implying that even short, digital sessions could provide scalable mental well-being benefits.
Analyzing 128-channel EEG data from meditation-naïve, novice, and advanced practitioners, researchers found that significant neurophysiological changes—including increased alpha, theta, and beta1 power—begin to emerge approximately 2 to 3 minutes after starting practice, peaking between 7 and 10 minutes.
Advanced meditators showed consistently higher theta and theta-alpha power throughout the session. This suggests that meditation has a rapid response influenced by experience level, implying that even short, digital sessions could provide scalable mental well-being benefits.
Paul R. Ehrlich, a leading ecologist and co‑founder of the field of co‑evolution, died at 93. His landmark 1968 book *The Population Bomb* warned of overpopulation, resource depletion and environmental collapse, sparking global debate and influencing policies such as China’s one‑child plan and India’s sterilisation programmes. Ehrlich’s work also accelerated the development of contraception and women’s reproductive rights. Despite criticism that his focus on population growth overlooked other factors, his research shaped public discourse on sustainability and biodiversity. Ehrlich’s legacy remains contentious but undeniably pivotal in environmental science and policy.
Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their own preprint server. Researchers are studying how these agents interact and how humans respond to those discussions.
This module uses NextBrain, a probabilistic atlas of the human brain, to segment ~300 distinct ROIs per hemisphere on in vivo or ex vivo scans. Segmentation relies on a Bayesian algorithm and is robust against changes in MRI pulse sequence.
Researchers present NextBrain, a probabilistic histological atlas of the whole human brain, developed using AI-enabled methods to align histological sections and create delineations for 333 ROIs. A Bayesian tool is also created for automatic segmentation of these ROIs in MRI scans.
This study investigated potential associations between short-lived star-like transients identified in the Palomar Observatory Sky Survey (POSS-I) and both nuclear weapons testing and reports of unidentified anomalous phenomena (UAP). Results revealed significant associations between nuclear testing and observed transients, and between the number of transients and UAP reports.
This review describes the multimodal and multinodal organization of the LPA signaling network, detailing upstream biosynthesis, receptor diversity, and downstream effectors across diverse organ systems. Therapeutic strategies targeting ATX, LPARs, and intracellular mediators are critically assessed, along with a review of ongoing and emerging clinical trials.
