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نمایش مقاله

Title:

Virtual Brain Twins and Passive Brain Mapping in Personalized Mental Health Treatment

Subject:

Clinical Applications of Brain Mappin

Presenter Author:
Name:	Abolfazl Hajihashemi

Author:
Name 1:	Abolfazl Hajihashemi - Corresponding - Presenter
Affiliation 1:	Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran

Name 2:	Somayeh Moini nasab
Affiliation 2:	Department of Health Psychology, Faculty of Medicine, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Name 3:	Mahdieh Hajihashemi
Affiliation 3:	Department of Computer Engineering, Hashemi Technical and Vocational College for Women, Khansar, Iran

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Abstract

Original Research

introduction :

Psychiatric disorders impose a substantial burden worldwide, affecting millions with diverse clinical presentations that often defy uniform diagnostic and therapeutic approaches. The inherent heterogeneity in symptom profiles, neurobiological substrates, and treatment outcomes underscores the limitations of conventional symptom-driven paradigms in psychiatry. Emerging computational and neuroimaging methodologies offer a pathway toward greater specificity. Virtual brain twins individualized, generative models of whole-brain dynamics derived from multimodal patient data provide a framework for simulating personalized neural processes and forecasting intervention effects. Complementing these are passive brain mapping techniques, which capture intrinsic functional organization through task-independent modalities, thereby circumventing the challenges posed by patient cooperation or invasive procedures in vulnerable populations. This review investigates the potential convergence of virtual brain twins and passive mapping to foster mechanism-based, individualized strategies in mental health care, with particular emphasis on delineating aberrant circuits in conditions such as depression, schizophrenia, and treatment-resistant states.

Methods:

A narrative synthesis was undertaken, drawing selectively from seminal and contemporary literature spanning 1990 to 2024 to construct a cohesive conceptual framework. Core sources were chosen for their foundational contributions to the reviewed domains: comprehensive overviews of passive mapping modalities in clinical neurosurgery (Roland et al., 2021), theoretical and applied frameworks for virtual brain twins across neurological and psychiatric applications (Wang et al., 2024), and circuit-oriented perspectives on novel psychiatric interventions (Scangos et al., 2023). Supporting references encompassed early topographic mapping of brain potentials (Lopes da Silva, 1990), functional mapping applications in neurosurgery (Tharin & Golby, 2007), structural volumetry in neurology (Giorgio & De Stefano, 2013), and quantitative EEG analyses in psychiatric contexts. Selection prioritized studies illuminating synergies between computational personalization and noninvasive functional assessment. Rather than a systematic meta-analysis, this approach facilitated critical integration of disparate findings, highlighting underexplored intersections relevant to precision psychiatry while acknowledging methodological variances across modalities.

Results:

The amalgamation of virtual brain twins and passive mapping yields compelling insights for personalized mental health interventions. Passive modalities including resting-state functional MRI, electrocorticographic frequency alteration mapping, and high-gamma power modulation reliably delineate endogenous network configurations, proving especially valuable in psychiatric cohorts where task compliance is compromised. These techniques uncover subtle alterations in intrinsic connectivity associated with disorders like major depression and schizophrenia. Virtual twins augment this by incorporating subject-specific structural scaffolds and functional priors, enabling predictive simulations of pathophysiological trajectories and therapeutic responses, such as neuromodulation effects on dysregulated excitation-inhibition balance or reward circuitry. Integrated applications demonstrate enhanced resolution of individual circuit pathologies, improved prognostic modeling in refractory cases, and broader applicability to pediatric or cognitively impaired patients, where traditional active mapping falls short.

Conclusion:

Integrating virtual brain twins with passive brain mapping marks a pivotal shift toward neurobiologically informed, patient-tailored psychiatry. This synthesis transcends symptomatic classification, facilitating proactive identification of mechanistic targets and optimization of interventions. Nonetheless, translational success hinges on rigorous cross-validation in heterogeneous populations, robust ethical frameworks for data stewardship, and streamlined incorporation into routine clinical pathways. Realizing this potential could substantially alleviate the burden of psychiatric illness through more efficacious, equitable care.

Keywords:

Brain Mapping; Mental Disorders; Precision Medicine; Neuroimaging; Computational Neuroscience;