Evidence map›Paper›PMID 41660356›Full record

ArticleNeurophotonics2026

Mapping functional connectivity in the pigeon brain with wide-field optical imaging.

Kathryn C Chenard, Annie R Bice, Seana H Bice, Joseph P Culver, Paula Gerliz, Xavier Helluy, Onur Güntürkün, Jason W Trobaugh, Mehdi Behroozi, Carlos A Botero

Abstract read
In one paragraph

Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kathryn C ChenardUniversity of Texas at Austin, Department of Integrative Biology, Austin, Texas, United States.ORCID https://orcid.org/0000-0003-0105-1451
Annie R BiceWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Seana H BiceWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Joseph P CulverWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Paula GerlizRuhr University Bochum, Institute of Cognitive Neuroscience, Department of Biopsychology, Bochum, Germany.ORCID https://orcid.org/0009-0007-7801-0486
Xavier HelluyRuhr University Bochum, Institute of Cognitive Neuroscience, Department of Biopsychology, Bochum, Germany.
Onur GüntürkünRuhr University Bochum, Institute of Cognitive Neuroscience, Department of Biopsychology, Bochum, Germany.ORCID https://orcid.org/0000-0003-4173-5233
Jason W TrobaughWashington University in St. Louis, Department of Electrical and Systems Engineering, St. Louis, Missouri, United States.ORCID https://orcid.org/0009-0008-5183-3359
Mehdi BehrooziRuhr University Bochum, Institute of Cognitive Neuroscience, Department of Biopsychology, Bochum, Germany.ORCID https://orcid.org/0000-0001-8373-6168
Carlos A BoteroUniversity of Texas at Austin, Department of Integrative Biology, Austin, Texas, United States.ORCID https://orcid.org/0000-0003-0955-2795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Adapting optical imaging technology to avian models can overcome many limitations imposed by functional magnetic resonance imaging (fMRI), which currently restricts the number of species used to study functional connectivity. Developing advanced technology to expand the diversity of species that can be effectively imaged is crucial for addressing significant questions that are currently unreachable, such as understanding the evolution of cognition from a comparative perspective. Aim: We assessed the potential of optical imaging technology to measure functional connectivity in birds, utilizing pigeons as an avian model. We evaluated whether we could partition the dorsal surface of the pigeon brain into units that correspond to known anatomical regions. Finally, we compared our results with those obtained from a separate dataset acquired using fMRI. Approach: Using optical intrinsic signal imaging, a widefield optical imaging method, we imaged resting state functional connectivity in scalp-retracted anesthetized pigeons. We then used iterative parcellation and hierarchical clustering to create functional connectivity maps of correlation between parcels at two spatial scales. We recorded a second independent dataset of ten pigeons using a single-shot multi-slice gradient echo EPI sequence fMRI and applied the same parcellation method to compare functional connectivity patterns between the two methodologies. Results: We successfully partitioned signal activity into clusters of parcels that exhibit left-right symmetry between hemispheres and which align well with known anatomical regions of the dorsal surface of the pigeon brain. Moreover, functional connectivity matrices reveal positive correlations between homotopic regions. These cluster partitions and functional connectivity maps display similar patterns across and within individuals. Finally, WOI imaging results were comparable to resting state data acquired using fMRI. Conclusions: Taken together, these results demonstrate the potential of optical imaging technology for the reliable and cost-effective characterization of functional connectivity in birds. In addition, they position optical imaging methods as a valuable tool for large-scale comparative and network-level studies in this taxon.

Indexed as

brainfunctional connectivityoptical intrinsic signal imagingpigeonresting statewidefield optical imaging

Identifiers

PMID41660356
PMCPMC12879446

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.