neuroimaging

Early and accurate detection of Alzheimer's disease (AD) from Magnetic Resonance Imaging (MRI) scans is crucial for clinical intervention. A novel S3Net, a Synthesis–Segmentation–Spiking Network, is proposed for this purpose. It integrates synthetic MRI generation, pathology-aware segmentation, and spike-based classification. The Synthesis Network uses a generative adversarial network framework. …

IntroductionAlzheimer’s disease (AD) is responsible for many dementia-related deaths worldwide, and Mild Cognitive Impairment (MCI) is often its earliest clinical manifestation. Early detection of MCI is essential to initiate timely interventions that can slow progression and improve the patient’s quality of life. The emergence of diffusion tensor imaging (DTI) has made it a powerful neuroimaging…

Nature Communications, Published online: 15 June 2026; doi:10.1038/s41467-026-74228-0 Neural mechanisms underlying rhythmic motor behaviors are not fully understood. Here authors propose a theory of how the nervous system generates and controls walking, which entails a spatial layout of spinal nerve cells that form longitudinal connectivity patterns of a ‘Mexican hat’, i.e. local excitation and l…

IntroductionBreast cancer brain metastases (BCBMs) represent a severe neurological complication affecting 10–20% of patients with metastatic breast cancer, with significant implications for treatment planning and prognosis. Accurate determination of hormone receptor (HR) status is critical for guiding personalized therapeutic strategies. However, traditional biopsy-based assessment is invasive, c…

Researchers developed FEDE, a high-fidelity digital brain twin pipeline that combines MRI-derived anatomy with biophysical modeling to reconstruct brain structure and simulate EEG activity. In a single toddler with autism spectrum disorder, the model closely reproduced recorded brain activity and suggested possible patient-specific alterations in neural noise and excitatory-inhibitory balance.

A new longitudinal study reveals that specific brain wave patterns emerging around age nine can reliably predict whether a child will develop anxiety or depression during their teenage years, opening the door for proactive mental health interventions.

Scientists have created the first complete brain-to-body wiring map of a fruit fly, revealing that complex behavior may arise from distributed neural teamwork rather than a central controller. A large international research team led by labs at Harvard Medical School and Princeton University has reached a major neuroscience milestone: a complete wiring diagram of every [...]

Experts in Heidelberg have developed an AI system that can classify brain tumors with unprecedented accuracy using standard microscopic tissue sections.

Neuroscientists are discovering that spending time with others may be a basic biological necessity, like need for food or water.

Scientific Reports, Published online: 14 June 2026; doi:10.1038/s41598-026-53279-9 Depression detection from multimodalities based on LeNet with hunter-geese optimization

When we fall asleep, our brains don’t just shut off; they get to work. One of their primary jobs is memory consolidation—sorting through the events of the day and filing them into long-term storage. The brain does this by spontaneously “reactivating” or replaying memories. Recent memories are consolidated during sleep by spontaneous reactivation. However, whether […]

A new study suggests that reproducing a crucial sleep-like brain pattern in awake animals may help preserve memory and learning abilities. What if part of the brain could get some of the benefits of sleep without the rest of the brain ever going offline? A new NIH-funded study suggests that may be possible. Researchers found [...]

People with depression often describe feeling stuck. Now, researchers have found a physical basis for this sensation, mapping an altered energy landscape that traps the brain in maladaptive loops and restricts cognitive flexibility.

Scientists have achieved an incredible breakthrough by recreating the brain of a fruit fly inside a computer simulation. By mapping around 140,000 neurons and millions of connections, they built a digital brain that can sense its environment, process information, and even control a virtual body. In the simulation, the digital fly was able to search […]

Whole-brain, cellular-resolution imaging reveals a hierarchical thalamus–brainstem attractor network that encodes recent history and shapes behavioural bias in zebrafish.

It offers researchers an unprecedented view of one of the most complex regions of the brain