Evidence map›Paper›PMID 42719773›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

Causal evidence for dorsal stream involvement in object shape recognition: A tractography-guided ccPAS Registered Report study.

Elena Bertacco, Francesca Saviola, Edoardo Paolini, Francesca Benedetta Pizzini, Nicolò Cardobi, Agnese Tamanti, Silvia Francesca Storti, Debora Brignani, Silvia Savazzi, Daniele Corbo and 2 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

12 authors.

Elena BertaccoDepartment of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0009-0001-3267-2229
Francesca SaviolaNeuro-X Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID https://orcid.org/0000-0001-7082-314X
Edoardo PaoliniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID https://orcid.org/0009-0002-7944-2081
Francesca Benedetta PizziniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-6285-0989
Nicolò CardobiDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-7856-3442
Agnese TamantiDepartment of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-9972-4348
Silvia Francesca StortiDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-8605-803X
Debora BrignaniDepartment of Clinical and Experimental Sciences, Università di Brescia, Brescia, Italy.ORCID https://orcid.org/0000-0003-0848-5164
Silvia SavazziDepartment of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-5333-9046
Daniele CorboDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Università di Brescia, Brescia, Italy.ORCID https://orcid.org/0000-0001-5078-6636
Chiara MazziDepartment of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-4966-9341
Chiara BagattiniDepartment of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-9193-3345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual experience requires orchestration of intricate brain connections. One of the most influential models of human visual information processing posits two segregated streams and postulates that conscious object recognition relies exclusively on the ventral visual stream. However, recent evidence suggests that the dorsal stream is involved in encoding crucial attributes of visual object recognition, such as global shape. The specific role of the dorsal stream is controversial in this context. Through an individualized multimodal approach, we investigated the contribution of the dorsal pathway to object recognition. Combining MRI-based diffusion-weighted imaging tractography with cortico-cortical paired associative stimulation protocol (ccPAS), we causally manipulated V1-to-IPS dorsal stream connectivity by strengthening synaptic efficacy between targeted regions through Hebbian-like plasticity mechanisms. Thirty-two healthy participants underwent three tractography-guided ccPAS sessions targeting right V1-to-IPS connectivity with different interstimulus intervals (9 ms, 0 ms, 30 ms). Before and after each session, participants performed a two-alternative forced-choice task requiring discrimination of either global shape or local features. Results showed that the critical 9 ms V1-to-IPS ccPAS protocol improved global shape discrimination, as indexed by accuracy and d', relative to the 0 ms control condition, with no effect on reaction times or response bias. Although task specificity was not fully supported, exploratory analyses revealed no changes in local feature discrimination. These findings provide causal evidence that strengthening dorsal V1-to-IPS connectivity enhances global shape processing, supporting a direct contribution of the dorsal stream to object recognition and potentially guiding the development of targeted rehabilitative interventions after visual system damage.

Indexed as

Form PerceptionPattern Recognition, VisualVisual CortexVisual PathwaysAdultBrain MappingDiffusion Tensor ImagingFemaleHumansMalePhotic StimulationYoung Adultconnectivitydorsal visual pathwayDWIglobal shapetranscranial magnetic stimulation (TMS)

Identifiers

PMID42719773
PMCPMC13556797

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.