Understanding family dynamics through a neurocognitive lens
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CC-BY-4.0
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This paper argues for a neurocognitive approach to family research, proposing that measuring neural activity and its alignment between family members can reveal hidden interactions and enhance understanding of family dynamics across generations.
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Abstract
Individual family members impact each other and the family system at the physiological, brain, behavioral, phenomenological, and social level. Previous research used established methods, such as self-report and behavioral observation, to provide thorough insights into family dynamics. Here, we aim to complement existing methods and argue for a neurocognitive approach in family research. Neurocognitive tools can provide detailed and nuanced insights into complex family dynamics by capturing behavioral and brain processes at the individual and family level. By measuring neural activity and the alignment of brain activity between family members we can uncover complex recurrent and situation-dependent interactions that so far have remained hidden. Using this approach, we can increase the scope of family research, especially when measuring family members across generations with different levels of verbal ability. It allows to study emotionally interconnected family members across multiple generations. Measuring behavior and brain activity of multiple family members simultaneously is therefore a promising method to reveal additional factors contributing to family well-being and inform theory and practice. As mobile neuroimaging advances, studying family interactions in natural settings, such as the family home, becomes more feasible. This opens new possibilities for family research while simultaneously increasing ecological validity. The neurocognitive approach allows us to understand known and unknown factors contributing to family dynamics and brings a mechanistic understanding closer to “home”.
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- crossref
- last seen: 2026-06-02T01:00:30.143008+00:00
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00
- unpaywall
- last seen: 2026-05-21T05:10:58.409756+00:00
License: CC-BY-4.0