Brain functional connectivity correlates of anomalous interaction between sensorily isolated monozygotic twins
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Abstract
This study examined brain functional connectivity (FC) changes associated with possible anomalous interactions between sensorily isolated monozygotic (MZ) twins. Brain FC was estimated using the Steady State Visual Evoked Potential-Event Related Partial Coherence (SSVEP-ERPC) methodology. Five twin pairs served twice as participants, with an average interval between sessions of 67 days. In each recording session, one twin, the Sender, viewed a randomized set of 50 general images and 50 personally relevant images, while the other twin, the Receiver, viewed a static personally relevant image for the entire duration of the session. Images appeared on the Sender screen for 1.0 s, with the interval between successive images varied randomly between 4.0 and 8.0 s. Receiver FC changes were calculated based on the appearance times of the images as viewed by the Sender. It was hypothesized that anomalous interactions would be indicated by statistically significant Receiver FC changes when those changes are determined using the Sender image appearance times. For each twin serving as Receiver, FC components were separately analyzed for the 50 general and the 50 personal images, yielding 38 observations (19 twin pairs by 2 conditions). The hypothesis was confirmed in that 11 of the 38 observations yielded statistically significant Receiver FC increases or decreases at the p < 0.01 level only when trials were synchronized to the Sender image appearance times. Overall, this effect was significant at the p = 4 × 10 −8 Df = 175. To the best of our knowledge, this is the first study reporting statistically significant FC changes indicative of anomalous interactions between two sensorily isolated individuals.
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Without stringent null models, permutation controls, and transparent preregistration, classical complexity can be easily misinterpreted as quantum coherence.
“Without stringent null models, permutation controls, and transparent preregistration, classical complexity can be easily misinterpreted as quantum coherence [20,24].”
From Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints (2026) · cites this paper as [24]
The Materials and methods section (page not provided) describes a null hypothesis tested with 10,000 surrogate datasets and a permutation-test threshold. The Discussion takes an agnostic position on quantum entanglement. Neither passage says that classical complexity can be mistaken for quantum coherence or calls for transparent preregistration. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAnalytical approaches such as MF-DFA and CRQA are exquisitely sensitive to chaos, multiscale feedback, and fractal structure.
“Analytical approaches such as multifractal detrended fluctuation analysis (MF-DFA) and cross-recurrence quantification analysis (CRQA), which are frequently deployed to detect putative quantum signatures, are exquisitely sensitive to chaos, multiscale feedback, and fractal structure.”
From Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints (2026) · cites this paper as [24]
The Materials and methods sections describe SSVEP-based functional-connectivity analysis and statistical tests, not MF-DFA or CRQA. Searches for those methods and for chaos, multiscale feedback, and fractal structure found no passage in our copy addressing their claimed sensitivity. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Cites
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373 · see citing works
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725 · see citing works
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055 · see citing works
requivalent: A simple effect size indicator.
Rosenthal, R., & Rubin, D. B. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.4.492 · Cited by 380 · see citing works
Acharya, J. N., Hani, A. J., Cheek, J., Thirumala, P. D., & Tsuchida, T. N. (2016) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000316 · Cited by 279 · see citing works
Nonparametric statistical testing of coherence differences
Maris, E., Schoffelen, J., & Fries, P. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.02.011 · Cited by 278 · see citing works
Entangled Minds: Extrasensory Experiences in a Quantum Reality
Radin, D. I. (2006) · Cited by 237 · see citing works
The experimental evidence for parapsychological phenomena: A review.
Cardeña, E. (2018) · American Psychologist · doi:10.1037/amp0000236 · Cited by 221 · see citing works
Wireless multilateral devices for optogenetic studies of individual and social behaviors
Yang, Y., Wu, M., Vázquez‐Guardado, A., Wegener, A. J., Grajales‐Reyes, J. G., Deng, Y., Wang, T., Avila, R. O., Moreno, J. A., Minkowicz, S., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00849-x · Cited by 214 · see citing works
Event-related coherence as a tool for studying dynamic interaction of brain regions
Andrew, C. M., & Pfurtscheller, G. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00228-6 · Cited by 211 · see citing works
Interareal oscillatory synchronization in top-down neocortical processing
Bressler, S. L., & Richter, C. G. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.010 · Cited by 195 · see citing works
Extrasensory Electroencephalographic Induction between Identical Twins
Duane, T. D., & Behrendt, T. (1965) · Science · doi:10.1126/science.150.3694.367 · Cited by 136 · see citing works
Acharya, J. N., Hani, A. J., Cheek, J., Thirumala, P. D., & Tsuchida, T. N. (2016) · The Neurodiagnostic Journal · doi:10.1080/21646821.2016.1245558 · Cited by 132 · see citing works
Correlations between brain electrical activities of two spatially separated human subjects
Wackermann, J., Seiter, C., Keibel, H., & Walach, H. (2002) · Neuroscience Letters · doi:10.1016/s0304-3940(02)01248-x · Cited by 130 · see citing works
Consciousness and the double-slit interference pattern: Six experiments
Radin, D. I., Michel, L., Galdamez, K. M., Wendland, P. H., Rickenbach, R., & Arnaud Delorme, A. (2012) · Physics Essays · doi:10.4006/0836-1398-25.2.157 · Cited by 125 · see citing works
Achterberg, J., Cooke, K., Richards, T. L., Standish, L. J., Kozak, L. E., & Lake, J. (2005) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2005.11.965 · Cited by 106 · see citing works
A Glossary of Terms Used in Parapsychology
Thalbourne, M. A. (1982) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 97 · see citing works
Standish, L. J., Kozak, L. E., Johnson, L. C., & Richards, T. L. (2004) · The Journal of Alternative and Complementary Medicine · doi:10.1089/107555304323062293 · Cited by 81 · see citing works
Kumar, P., Swarnkar, P., Misra, S., & Nath, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-95141-0 · Cited by 75 · see citing works
Gray, M. A., Kemp, A. H., Silberstein, R. B., & Nathan, P. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00401-4 · Cited by 74 · see citing works
Self-citationCoordination Dynamics in Cognitive Neuroscience
Bressler, S. L., & Kelso, J. A. S. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00397 · Cited by 63 · see citing works
Event-Related Electroencephalographic Correlations Between Isolated Human Subjects
Radin, D. I. (2004) · The Journal of Alternative and Complementary Medicine · doi:10.1089/107555304323062301 · Cited by 59 · see citing works
Fortuna, K., Goldner, I., & Knafo‐Noam, A. (2010) · Family Science · doi:10.1080/19424620.2010.569367 · Cited by 56 · see citing works
Fronto-Parietal Evoked Potential Synchronization is Increased During Mental Rotation
Silberstein, R. B., Danieli, F., & Nunez, P. L. (2003) · Neuroreport · doi:10.1097/00001756-200301200-00013 · Cited by 54 · see citing works
Self-citationEvidence of correlated functional magnetic resonance imaging signals between distant human brains.
Standish, L. J., Johnson, L. C., Kozak, L. E., & Richards, T. L. (2003) · PubMed · Cited by 53 · see citing works
Non-Reflective Thinkers Are Predisposed to Attribute Supernatural Causation to Uncanny Experiences
Bouvet, R., & Bonnefon, J. (2015) · Personality and Social Psychology Bulletin · doi:10.1177/0146167215585728 · Cited by 50 · see citing works
Silberstein, R. B., Pipingas, A., Farrow, M., Lévy, F., & Stough, C. K. K. (2016) · Brain and Behavior · doi:10.1002/brb3.582 · Cited by 46 · see citing works
Self-citationQuantum aspects of the brain-mind relationship: A hypothesis with supporting evidence
Kauffman, S. A., & Radin, D. I. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104820 · Cited by 38 · see citing works
Using Neuroimaging to Resolve the Psi Debate
Moulton, S. T., & Kosslyn, S. M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20009 · Cited by 36 · see citing works
Gut Feelings, Intuition, and Emotions: An Exploratory Study
Radin, D. I., & Schlitz, M. J. (2005) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2005.11.85 · Cited by 35 · see citing works
Brain functional connectivity abnormalities in attention‐deficit hyperactivity disorder
Silberstein, R. B., Pipingas, A., Farrow, M., Lévy, F., Stough, C. K. K., & Camfield, D. (2016) · Brain and Behavior · doi:10.1002/brb3.583 · Cited by 27 · see citing works
Self-citationGender differences in parieto‐frontal brain functional connectivity correlates of creativity
Silberstein, R. B., Camfield, D., Nield, G., & Stough, C. K. K. (2019) · Brain and Behavior · doi:10.1002/brb3.1196 · Cited by 18 · see citing works
Self-citationHierarchy of attachment figures among adult twins and non-twins
Landenberger, R. D. O., Lucci, T. K., David, V. F., Ferreira, I. F., Fernandes, E. D. S., Segal, N. L., & Otta, E. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110404 · Cited by 17 · see citing works
Extrasensory Perception and Quantum Models of Cognition
Tressoldi, P. E., Storm, L., & Radin, D. I. (2010) · NeuroQuantology · doi:10.14704/nq.2010.8.4.353 · Cited by 16 · see citing works
Silberstein, R. B., Lévy, F., Pipingas, A., & Farrow, M. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.03.022 · Cited by 16 · see citing works
Self-citationFurther Possible Physiological Connectedness Between Identical Twins: The London Study
Parker, A., & Jensen, C. G. (2013) · EXPLORE · doi:10.1016/j.explore.2012.10.001 · Cited by 12 · see citing works
Functional MRI Study to Examine Possible Emotional Connectedness in Identical Twins: A Case Study
Karavasilis, E., Christidi, F., Platoni, K., Ferentinos, P. P., Kelekis, N., & EFSTATHOPOULOS, E. P. (2017) · EXPLORE · doi:10.1016/j.explore.2017.06.008 · Cited by 11 · see citing works
Editorial: Interpersonal synchrony and network dynamics in social interaction
Müller, V., Fairhurst, M. T., van Vugt, F. T., Keller, P. E., & Müller, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1095735 · Cited by 10 · see citing works
Electrocortical correlations between pairs of isolated people: A reanalysis
Radin, D. I. (2017) · F1000Research · doi:10.12688/f1000research.11537.1 · Cited by 5 · see citing works
Correlations between the EEGs of two spatially separated subjects − a replication study
Ambach, W. (2008) · Cited by 4 · see citing works
Believe it or not: A confirmatory study on predictors of paranormal belief, and a psi test
Billows, H., & Storm, L. (2015) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 4 · see citing works
Exceptional experiences amongst twins.
Brusewitz, G., Cherkas, L. M., Harris, J. M., & Parker, A. (2013) · Journal of the Society for Psychical Research · Cited by 4 · see citing works
Sex influences the brain functional connectivity correlates of originality
Silberstein, R. B., & Camfield, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-02674-5 · Cited by 3 · see citing works
Self-citationMonozygotic twins and macro-entanglement
Playfair, G. L. (2017) · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Lawrence T. (1993). “ Gathering in the sheep and goats: a meta-analysis of forced-choice sheep/goat ESP studies 1947-1993” in Proceedings of the parapsychological association 36th annual convention (Toronto: Canada), 75– 86.
Cited by
Sorted by citations
Evidence of quantum-entangled higher states of consciousness
Escolà-Gascón, Á. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.03.001 · Cited by 11 · see citing works
Özkurt, T. E. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1476944 · Cited by 5 · see citing works
Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints
Arias-Carrión, O., Ortega-Robles, E., & Manjarrez, E. (2026) · Brain Sciences · doi:10.3390/brainsci16040386 · Cited by 1 · see citing works
“Without stringent null models, permutation controls, and transparent preregistration, classical complexity can be easily misinterpreted as quantum coherence [20,24].”
Neuroimaging studies of extra-sensory perception: A systematic and critical review
Acunzo, D. J., Denton, A. H., Weiler, M., & Kelly, E. F. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121937 · Cited by 1 · see citing works
Nonlocal Experiences in a Quantum Reality
Radin, D. I., Wahbeh, H., Yount, G. L., Brophy, T. A., Taddeo, S., Tian, R., & Arnaud Delorme, A. (2026) · Studies in Rhythm Engineering · doi:10.1007/978-981-95-1742-8_11
Neuroimaging findings in extrasensory perception research: A PRISMA-informed descriptive synthesis
Batouli, S. A. H., Parsa, M., Safdari, S., & Radin, D. I. (2026) · EXPLORE · doi:10.1016/j.explore.2026.103478
- Authors
- Silberstein, R. B., & Bigelow, F. J.
- Affiliations
- Swinburne University of Technology (AU)
- Corresponding author
- Silberstein, Richard B.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2024-04-10
- Volume
- 18
- Pages
- 1388049-1388049
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC11039847
- OpenAlex
- W4394687935
- Cited by
- 5
- References
- 44
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 1
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Paranormal Experiences and Beliefs
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- brain functional connectivity, monozygotic twins, anomalous interactions, steady-state visual evoked potentials, sender-receiver interaction
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