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Long-range white-matter pathways enable efficient spontaneous neural activity propagation in the human brain

Efficient brain-wide communication requires neural activity to traverse long anatomical distances rapidly. Here we examine how propagation timing is jointly associated with spatial geometry, functional network organization, and long-range white-matter pathways and their microstructural properties. And we ask whether the same rules govern epileptiform and physiological activity. Using stereo-EEG and diffusion spectrum imaging from 47 epilepsy patients (26 males and 21 females), we quantified inter-regional propagation with two complementary delay estimators: event-based interictal epileptiform discharge (IED) traveling waves and continuous lagged-correlation delays during IED-free periods. We found that IED propagation traversing gray and white matter formed reproducible spatiotemporal motifs that deviated from randomized null models, indicating structured routing rather than random spread. Epileptiform and physiological propagation delays increased over short ranges but saturated at longer distances, indicating that geometry alone cannot account for long-range fast propagation. Beyond geometry, stronger structural connectivity and higher functional connectivity were associated with shorter delays, and intrinsic functional modules facilitated efficient communication: within-network propagation was faster than between-network propagation. Crucially, diffusion-derived quantitative anisotropy (QA) revealed a microstructural mechanism for long-range fast propagation: long-range white-matter tracts showed higher QA, and QA was positively associated with apparent propagation velocity. Together, these results identify convergent, architecture-dependent constraints on propagation timing that generalize across epileptiform and normal activity, providing a principled bridge between macroscale connectome organization and fast intracranial spatiotemporal dynamics.

Significance statement Efficient communication across long anatomical distances is fundamental for the human brain. By integrating stereo-EEG with diffusion spectrum imaging, this study shows that brain-wide information propagation is not determined by distance alone, but is critically supported by long-range white-matter pathways, their microstructural properties, and intrinsic functional network organization. We also find that both pathological epileptiform discharges and physiological spontaneous activity follow shared propagation rules, exhibiting distance saturation, structural facilitation, and preferential within-network transmission. These findings provide a microstructure-grounded account of how the human brain achieves fast, efficient large-scale communication, bridging macroscale connectome architecture with millisecond-scale neural dynamics.

The Brain Health Accelerator Seeks to Revolutionize Neuroscience Research

For decades, researchers across institutions have peered into microscopes and dived into data to try to understand how diseases like Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis (ALS) affect the brain. While scientists have made many important insights into these conditions, breakthrough therapies to cure or even treat them remain out of reach.

To expedite understanding of and treatments for neurodegenerative diseases, the Allen Institute launched the Brain Health accelerator. The project, announced today, is a global initiative that will leverage cutting-edge technology with the goal of improving modeling, therapeutic development, and the understanding of disease mechanisms. With funding support from the Allen Institute, the Bezos family, Amazon Web Services, the National Institutes of Health, EverythingALS, and other partners, the project financial contribution is $400 million.

One of the challenges in studying diseases in the human brain and identifying treatment strategies has been the scale and complexity of the organ. The brain consists of many distinct parts, and studying disease mechanisms requires samples from large numbers of individuals. Additionally, while technological advancements in transcriptomics, proteomics, neuroimaging, and AI have helped researchers study the brain in finer detail, researchers have not always integrated many of these approaches into the same project.

Promising Anti-Aging Drug May Cause Brain Damage, Scientists Warn

The experimental drug combo dasatinib and quercetin (known for short as D+Q) is one of the most promising anti-aging therapies being developed right now.

It is not yet approved for human use, but some scientists think it has the potential to fight disease by improving how our systems clear out worn-down cells.

According to a new study, however, there might be a big problem with D+Q.

The delusion of a particle-only universe

If everything that happens in the world ultimately comes down to the behavior of fundamental particles, it would seem that other entities, from cells to human beings, from currencies to financial markets, aren’t really causing anything at all—that they are just shadows cast by patterns at the most fundamental level. But philosopher David Yates argues this conclusion is wrong. The whole affects the parts, and higher-level structures don’t just describe what is happening at lower levels in more convenient terms—they actively shape what is possible. This means that chemists, biologists, psychologists, and economists aren’t chasing shadows. They are studying structures that genuinely shape how the world unfolds.

In 1974, Jerry Fodor published a seminal paper titled ‘Special Sciences’, in which he argued for an intuitive and compelling picture of the relationship between fundamental physics and higher-level sciences such as biology, psychology and economics. Our world, according to Fodor, is arranged hierarchically, with fundamental physical particles at the bottom, combining to form molecules, which combine to form cells, which combine to form complex organisms, some of which have mental states, among them humans, who combine to form complex societies. The sciences are likewise arranged, with physics at the bottom, followed by chemistry, biology, physiology, neuroscience, psychology, sociology and economics. Now it is vanishingly unlikely, says Fodor, that things that share e.g. psychological or economic properties, also share some property specifiable in the language of physics or other lower-level sciences.

Embryonic transplantation and ischemic memory deficit

Transient forebrain ischemia is associated with selective neuronal vulnerability and persistent memory deficit. This study compares functional outcome and morphological changes in rats subjected to post-ischemic CA1 or hilus/dentate gyrus region hippocampal fetal transplantation. Ischemia was produced by bilateral common carotid artery occlusion with hypotension. Fetal hippocampal neurons were transplanted into both sides of the CA1 or hilus/dentate gyrus region of the dorsal hippocampus, 1 week post-ischemia. Four weeks post transplantation, the rats underwent behavioral testing for 5 consecutive days using the water maze trial. All animals were perfusion fixed for morphological studies. Transplants in the CA1 region of the dorsal hippocampus were associated with memory and morphological recovery, while grafts placed into the hilus/dentate gyrus region of the dorsal hippocampus were not. Similarly, neurons transplanted in the CA1 region of the dorsal hippocampus were morphologically similar to CA1 pyramidal cell neurons and stained positive with calbindin D(28k). In contrast the grafts transplanted into the hilus/dentate gyrus region of the dorsal hippocampus were morphologically heterogeneous and staining with calbindin D(28k) was not as robust. Post-ischemic transplantation in the CA1 region of the dorsal hippocampus is effective in improving memory and morphological function.

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