Researchers have determined that a measure of brain complexity, derived from magnetic stimulation and EEG, can effectively evaluate the integrity of conscious processing in patients with Alzheimer's disease. The findings offer a new potential metric for tracking disease progression.

Summary: New research reports that approximately two-thirds of initially non-speaking children with autism develop spoken language following evidence-based early intervention. The study identifies key factors, such as intervention duration and motor imitation skills, that influence success. Key Facts After receiving evidence-based early interventions, roughly two-thirds of non-speaking children with autism speak single words, and approximately half develop more complex language, according to a new study led by researchers at Drexel University’s A.J. Drexel Autism Institute. The findings, published in the

Researchers identify two key proteins that allow chandelier cells to connect with excitatory neurons. This "handshake" regulates brain signals and, when disrupted, may lead to epilepsy or autism.

A new study introduces a multilingualism calculator that quantifies how multilingual a person truly is, offering a clearer alternative to vague labels like “bilingual.” By combining age of acquisition with self-rated listening, speaking, reading, and writing skills across languages, the tool generates both a multilingualism score and a language-dominance profile.

Researchers mapped the brain connectivity of 960 individuals to uncover how fast and slow neural processes unite to support complex behavior. They found that intrinsic neural timescales—each region’s characteristic window for processing information—are directly shaped by white-matter pathways that distribute signals across the brain. Individuals with a closer match between their wiring and regional timescale demands showed more efficient transitions between behavior-linked brain states.

A long-term study has identified a potential biomarker that could help detect which patients are progressing toward more severe forms of multiple sclerosis. Researchers discovered that a high ratio of CXCL13 to BAFF indicates compartmentalized inflammation in the leptomeninges, a hallmark of progressive MS.

New research following children for more than a decade links high screen exposure before age two to accelerated brain maturation, slower decision-making, and increased anxiety by adolescence. Infants with more screen time showed premature specialization in brain networks involved in visual processing and cognitive control, which later reduced flexibility during thinking tasks.

Autistic adults show reduced availability of a key glutamate receptor, mGlu5, across widespread brain regions. This difference supports the theory that an imbalance between excitatory and inhibitory signaling may contribute to autism-related traits.

High levels of the periodontal bacterium Fusobacterium nucleatum may be associated with more severe disability in people with multiple sclerosis. Researchers analyzed tongue-coating samples and found that MS patients with the highest abundance of this bacteria had significantly worse scores on a standard disability scale.

A new study comparing stroke survivors with healthy adults reveals that post-stroke language disorders stem not from slower hearing but from weaker integration of speech sounds. While patients detected sounds as quickly as controls, their brains processed speech features with far less strength, especially when words were unclear.

When people facing uncertainty about an important identity goal are nudged to question the validity of their own doubts, their commitment to that goal actually increases. The research demonstrates that inducing meta-cognitive doubt—doubt about one’s doubts—can flip ambivalence into renewed motivation.

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy, variability, and underlying neural rhythms. By integrating fine-scale synaptic rules with large-scale architecture across cortex, striatum, brainstem, and acetylcholine-modulated systems, the model reproduced hallmark patterns of learning, including strengthened beta-band synchrony between regions during correct decisions.