Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 19 min ago
PreprintCC BYbioRxiv

Inter-regional interactions uncouple within-region inhibition stabilization and paradoxical responses

  1. 1Columbia University

Abstract

Paradoxical responses, in which excitatory perturbations of inhibitory neurons reduce their firing rates, are widely regarded as a hallmark of inhibition-stabilized networks (ISNs) and have been observed in multiple brain regions. However, because brain regions are interconnected by long-range projections, it remains unclear whether a paradoxical response observed in a given region reflects inhibition stabilization within that region or instead arises from distributed interactions among regions. Here, using analytically tractable multi-region population models and numerical simulations, we show that inter-regional connections can dissociate local inhibition stabilization from paradoxical responses. The condition for a paradoxical response in a given region is jointly determined by recurrent excitation within that region, feedback mediated through other regions, and the dynamics of those other regions. Consequently, inter-regional coupling can generate a paradoxical response in a region that is not locally inhibition-stabilized or abolish it in a region that is. Thus, in an interconnected network, a paradoxical response is neither necessary nor sufficient for local inhibition stabilization. These findings demonstrate that local perturbation responses cannot generally be interpreted solely in terms of local circuit dynamics and highlight the importance of accounting for inter-regional connections when inferring the local circuit properties of individual brain regions.

Related

  1. TAGLN2-mediated ORAI1 stabilization promotes Ca2+-NF‑κB-dependent inflammatory responses in rifampicin allergy
    Ying Dong, Yushan Yao, Lihong Wu +10
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textNeuroscienceCrossref
  2. Insight into the mechanism of molecular interactions of the NDM metallo-beta-lactamase and cyclic boronate inhibition by molecular docking and molecular dynamics simulations
    Y.-F. Shi
    bioRxivPreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
  3. PFKFB3 inhibition dictates the adaptive responses and cell fates in tumor cells
    Dianpeng Zheng, Yaowen Mao, Zhipeng Ai +8
    iSciencePeer-reviewedCC BY-NC-ND 4.0Full textCell biologyOncologyCell PressCrossrefEurope PMC
  4. Metagenomic insights into viral community restructuring and microbial interactions in waste stabilization ponds
    Neveen M. Rizk, Mohamed A. Marouf, Nehal Ismail Ahmed +7
    Scientific ReportsPeer-reviewedCC BY 4.0Full textEcologyCrossref
  5. A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations
    H. Y. Chau, I. A. Oldenburg, K. D. Miller +1
    bioRxivPreprintCC BY-NC-NDFull textNeurosciencebioRxiv
BibTeX
@misc{wu2026interregional,
  title = {{Inter-regional interactions uncouple within-region inhibition stabilization and paradoxical responses}},
  author = {Y. K. Wu and K. D. Miller},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.09.750483},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.09.750483v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Inter-regional interactions uncouple within-region inhibition stabilization and paradoxical responses
AU  - Y. K. Wu
AU  - K. D. Miller
PY  - 2026
DA  - 2026/09/09
PB  - bioRxiv
DO  - 10.64898/2026.09.09.750483
UR  - https://www.biorxiv.org/content/10.64898/2026.09.09.750483v1
AB  - Paradoxical responses, in which excitatory perturbations of inhibitory neurons reduce their firing rates, are widely regarded as a hallmark of inhibition-stabilized networks (ISNs) and have been observed in multiple brain regions. However, because brain regions are interconnected by long-range projections, it remains unclear whether a paradoxical response observed in a given region reflects inhibition stabilization within that region or instead arises from distributed interactions among regions. Here, using analytically tractable multi-region population models and numerical simulations, we show that inter-regional connections can dissociate local inhibition stabilization from paradoxical responses. The condition for a paradoxical response in a given region is jointly determined by recurrent excitation within that region, feedback mediated through other regions, and the dynamics of those other regions. Consequently, inter-regional coupling can generate a paradoxical response in a region that is not locally inhibition-stabilized or abolish it in a region that is. Thus, in an interconnected network, a paradoxical response is neither necessary nor sufficient for local inhibition stabilization. These findings demonstrate that local perturbation responses cannot generally be interpreted solely in terms of local circuit dynamics and highlight the importance of accounting for inter-regional connections when inferring the local circuit properties of individual brain regions.
ER  -