Scientists at The Ohio State University have charted how patterns of brain wiring can predict activity linked to many mental functions across the entire brain. Each region shows a distinct “connectivity fingerprint” tied to roles such as language and memory. The peer‑reviewed findings in Network Neuroscience offer a baseline for studying healthy young adult brains and for comparisons with neurological or psychiatric conditions.
New research led by Ohio State doctoral student Kelly Hiersche finds that the web of connections linking brain regions can be used to anticipate where brain activity will rise or fall across a broad range of cognitive domains, extending prior work from isolated functions to a whole‑brain view. (news.osu.edu)
“We see connectivity as a fundamental organizational principle of brain function,” Hiersche said, describing the study’s overarching result. Co‑author Zeynep Saygin added that brain areas carry distinct “connectivity fingerprints” that relate to what those areas do. (news.osu.edu)
Senior author David Osher said the work clarifies “the connectivity pattern that makes a language area unique,” helping distinguish it from neighboring regions. (news.osu.edu)
Methods combined MRI data from 1,018 Human Connectome Project participants with NeuroQuery, an online meta‑analytic tool that maps activity for 33 cognitive processes (for example, speech, decision‑making, music listening and face perception). The team built computational models linking each region’s wiring to predicted task‑related activation patterns across the brain. (news.osu.edu)
Across regions and domains, connectivity patterns reliably tracked brain activity. The link was strongest in higher‑level functions, notably memory and executive control—skills that develop over many years, the authors noted. (news.osu.edu)
Because the analysis offers a “bird’s‑eye view” of typical young adult brains, the authors say it provides a reference point for future comparisons in neurological or psychiatric conditions. (news.osu.edu)
The study appears in Network Neuroscience; the journal lists the article’s DOI as 10.1162/NETN.a.504 and an Oct. 20, 2025 publication date. (eurekalert.org)
