Are Synaptic Clefts Directionally Oriented?

Synapses are fundamental building blocks of cortical circuits, yet their geometry is typically regarded as a local property, independent of mesoscale architecture. The prevailing assumption is that synaptic clefts are isotropically oriented in space. Here, this assumption was tested by analyzing approximately 117 million synaptic clefts from two independent 1 mm <sup>3</sup> electron microscopy datasets: the human H01 middle temporal gyrus and the mouse MICrONS primary visual cortex. Across both volumes, synaptic cleft orientations are not randomly distributed, but instead show statistically significant and spatially coherent directional biases across cortical layers. This mesoscale anisotropy is conserved across species, yet is stronger and more consistent in human association cortex than in mouse sensory cortex. These findings reveal an unrecognized dimension of cortical microarchitecture and suggest that synaptic geometry contributes to circuit organization, mesoscale connectivity, and interactions with endogenous or externally applied electric fields.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-02
DOI
https://doi.org/10.64898/2026.01.30.702623
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Are Synaptic Clefts Directionally Oriented?

Gregory M. Noetscher, Daniel R. Berger, Dexuan Tang, H. Lu et al.
bioRxiv (Cold Spring Harbor Laboratory)
Neural dynamics and brain function
article

Are Synaptic Clefts Directionally Oriented?

Gregory M. Noetscher, Daniel R. Berger, Dexuan Tang, H. Lu, Sergey N Makaroff, Marom Bikson, Mark Ingersoll, Zhi-De Deng, Bethanny Danskin, Bruce Rosen
article en

Abstract

Synapses are fundamental building blocks of cortical circuits, yet their geometry is typically regarded as a local property, independent of mesoscale architecture. The prevailing assumption is that synaptic clefts are isotropically oriented in space. Here, this assumption was tested by analyzing approximately 117 million synaptic clefts from two independent 1 mm <sup>3</sup> electron microscopy datasets: the human H01 middle temporal gyrus and the mouse MICrONS primary visual cortex. Across both volumes, synaptic cleft orientations are not randomly distributed, but instead show statistically significant and spatially coherent directional biases across cortical layers. This mesoscale anisotropy is conserved across species, yet is stronger and more consistent in human association cortex than in mouse sensory cortex. These findings reveal an unrecognized dimension of cortical microarchitecture and suggest that synaptic geometry contributes to circuit organization, mesoscale connectivity, and interactions with endogenous or externally applied electric fields.

bioRxiv (Cold Spring Harbor Laboratory)
Worcester Polytechnic Institute (US), City College of New York (US), National Institutes of Health (US), Allen Institute for Brain Science (US), National Institute on Drug Abuse (US), Harvard University (US), University of Massachusetts Amherst (US), Athinoula A. Martinos Center for Biomedical Imaging (US), Allen Institute (US)
National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Sustainable cities and communities
Openalex Percentile: Top 70%
Neural dynamics and brain function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.