Connectome-based brain fingerprints predict early cognitive decline in Parkinson’s patients with minor hallucinations
Open accessAbstract
Individual variability in connectome organization offers a unique framework for capturing patient-specific alterations and advancing personalized models in medicine. Minor hallucinations (MH) affect up to 40% of Parkinson’s disease (PD) patients and are early indicators of cognitive decline and dementia, hence crucial for early intervention. While previous studies focused on group-level differences, connectome-based brain fingerprinting enables deeper, individualized analysis of neural change. Applying this approach to PD patients with and without MH using resting-state fMRI, we show that each patient exhibited unique brain fingerprint, revealing rich quantifiable personalized features with medical relevance. MH-patients showed a loss of subject-specific features in brain networks linked to cognitive health, while somatosensory regions – typically less distinctive – became more prominent, emphasizing their role in MH pathogenesis. These differences enabled to identify – in an entirely data driven manner – patient-specific networks linked to early subclinical cognitive alterations, as well differential spatial fingerprinting organization linked to cortical densities of neurotransmitters. These findings reveal a distinct, patient-specific connectomic signature that differentiates PD patients with MH, uncovering early neural markers for precision medicine in PD.
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PD-VH decline cognitively more rapidly and show possible subclinical cognitive variations early on in their VH.
“This is consistent with reports of PD-VH declining cognitively more rapidly2 and showing possible subclinical cognitive variations early on in their VH4.”
From Deviations in effective connectivity explain different hallucination subtypes in Parkinson's disease psychosis (2026) · cites this paper as [4]
The Discussion (page not provided) reports possible early, subtle subclinical cognitive deficits in patients with Parkinson’s disease and minor hallucinations, supporting the clause attached to this citation. The study does not establish that finding for PD patients with visual hallucinations generally. The separate claim about faster cognitive decline is attached to citation 2, not this source. (LLM, conf=0.83)
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References 92 · Cited by 5
Research works printed but not linked: 1
- McGraw, K. O. & Wong, S. P. Forming Inferences About Some Intraclass Correlation Coefficients. Psychological Methods 17 (1996) doi:1082-989X/96/S3.00.
- Authors
- Stampacchia, S., Bernasconi, F., Van De Ville, D., Amico, E., Pagonabarraga, J., Kulisevsky, J., & Blanke, O.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- Neuro X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- University of Birmingham (GB)
- Universitat Autònoma de Barcelona (ES)
- University Hospital of Geneva (CH)
- Corresponding author
- Stampacchia, Sara
- ORCID
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2025-04-22
- OpenAlex
- W4409726879
- Cited by
- 5
- References
- 92
- Citations by year
- 2026: 5
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Funders
- Carigest
- National Science Foundation
- École Polytechnique Fédérale de Lausanne
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (188798, 221182)
- Generalitat de Catalunya
- Fondation Leenaards
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (PI18/01717)
- Parkinson Schweiz
- Instituto de Salud Carlos III (PI18/01717)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Parkinson's disease, early cognitive decline, resting-state fMRI, subclinical cognitive impairment, precision medicine, dementia risk
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