The DOI matches its Crossref record; 63 of the 64 references it cites were found in a registry or an index.
Neurobiological Basis of Insight in Schizophrenia: A Systematic Review
Abstract
BACKGROUND: Insight in schizophrenia is defined as awareness into illness, symptoms, and need for treatment and has long been associated with cognition, other psychopathological symptoms, and several adverse clinical and functional outcomes. However, the biological basis of insight is not clearly understood. OBJECTIVE: The aim of this systematic review was to critically evaluate and summarize advances in the study of the biological basis of insight in schizophrenia and to identify gaps in this knowledge. METHODS: A literature search of PubMed, CINAHL, PsycINFO, and EMBASE databases was conducted using search terms to identify articles relevant to the biology of insight in schizophrenia published in the last 6 years. Articles that focused on etiology of insight in schizophrenia and those that examined the neurobiology of insight in schizophrenia or psychoses were chosen for analysis. Articles on insight in conditions other than schizophrenia or psychoses and which did not investigate the neurobiological underpinnings of insight were excluded from the review. RESULTS: Twenty-six articles met the inclusion criteria for this review. Of the 26 articles, 3 focused on cellular abnormalities and 23 were neuroimaging studies. Preliminary data identify the prefrontal cortex, cingulate cortex, and regions of the temporal and parietal lobe (precuneus, inferior parietal lobule) and hippocampus as the neural correlates of insight. DISCUSSION: A growing body of literature attests to the neurobiological basis of insight in schizophrenia. Current evidence supports the neurobiological basis of insight in schizophrenia and identifies specific neural correlates for insight types and its dimensions. Further studies that examine the precise biological mechanisms of insight are needed to apply this knowledge to effective clinical intervention development.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Consistent with this, studies employing both structural 99 and functional 100-105 neuroimaging have implicated a number of areas and networks in the development and maintenance of insight.”
From Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments (2018) · cites this paper as [99]
Citations
Cites
The Positive and Negative Syndrome Scale (PANSS) for schizophrenia.
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987) · Schizophrenia Bulletin · doi:10.1093/schbul/13.2.261 · Cited by 21,378
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560
Kapur, S. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.13 · Cited by 2,813
The de Facto US Mental and Addictive Disorders Service System
Regier, D. A. (1993) · Archives of General Psychiatry · doi:10.1001/archpsyc.1993.01820140007001 · Cited by 1,988
Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles
Vossel, S., Geng, J. J., & Fink, G. R. (2014) · The Neuroscientist · doi:10.1177/1073858413494269 · Cited by 1,438
Assessment of insight in psychosis
AMADOR, X. F., Strauss, D. H., Yale, S. A., FLAUM, M. M., Endicott, J., & Gorman, J. M. (1993) · American Journal of Psychiatry · doi:10.1176/ajp.150.6.873 · Cited by 1,100
A new instrument for measuring insight: the Beck Cognitive Insight Scale
Beck, A. T. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(03)00189-0 · Cited by 871
Insight in psychosis and neuropsychological function
Aleman, A., Agrawal, N., Morgan, K. D., & David, A. S. (2006) · The British Journal of Psychiatry · doi:10.1192/bjp.189.3.204 · Cited by 320
Anosognosia in Parietal Lobe Syndrome
Ramachandran, V. S. (1995) · Consciousness and Cognition · doi:10.1006/ccog.1995.1002 · Cited by 306
Sanz, M. A. G., CONSTABLE, G., Lopez-Ibor, I., KEMP, R., & David, A. S. (1998) · Psychological Medicine · doi:10.1017/s0033291797006296 · Cited by 264
Cited by
Sorted by citations
Lysaker, P. H., Pattison, M. L., Leonhardt, B. L., Phelps, S., & Vohs, J. L. (2018) · World Psychiatry · doi:10.1002/wps.20508 · Cited by 247
The Multiple Dimensions of Insight in Schizophrenia-Spectrum Disorders
Murri, M. B., & Amore, M. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby092 · Cited by 87
Plis, S., Amin, M. F., Chekroud, A. M., Hjelm, D., Damaraju, E., Lee, H. J., Bustillo, J., Cho, K., Pearlson, G. D., & Calhoun, V. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.047 · Cited by 56
Sreeraj, V. S., Dinakaran, D., Parlikar, R. U., Chhabra, H., Selvaraj, S., Shivakumar, V., Bose, A., Narayanaswamy, J. C., & Venkatasubramanian, G. (2018) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2018.08.008 · Cited by 48
Chang, C.-C., Kao, Y., Chao, C.-Y., & Chang, H. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2018.12.052 · Cited by 40
Neural correlates of altered insight in frontotemporal dementia: a systematic review
Muñoz‐Neira, C., Tedde, A., Coulthard, E. J., Thai, N. J., & Pennington, C. M. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102066 · Cited by 32
Konsztowicz, S., Schmitz, N., & Lepage, M. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.02.055 · Cited by 26
Genetic correlates of insight in schizophrenia
Xavier, R. M., Vorderstrasse, A. A., Keefe, R. S. E., & Dungan, J. R. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.10.021 · Cited by 21
Self-citationXavier, R. M., Pan, W., Dungan, J. R., Keefe, R. S. E., & Vorderstrasse, A. A. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.07.002 · Cited by 21
Self-citationChang, C.-C., Kao, Y., Chao, C.-Y., Tzeng, N., & Chang, H. (2020) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaa063 · Cited by 16
Mental Health Issues and Substance Use in the United States: Pulling the Power Levers
Beeber, L. S. (2018) · Journal of the American Psychiatric Nurses Association · doi:10.1177/1078390318811572 · Cited by 15
The metabolic basis of cognitive insight in psychosis: A positron emission tomography study
Caletti, E., Marotta, G., Vecchio, G. D., Paoli, R. A., Cigliobianco, M., Prunas, C., Zugno, E., Bottinelli, F., Brambilla, P., & Altamura, A. C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175803 · Cited by 14
Blay, M., Adam, O., Bation, R., Galvão, F., Brunelin, J., & Mondino, M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm11010040 · Cited by 18
Ünal, G., Ates, A. M., & Arıcıoğlu, F. (2018) · Psychiatry and Clinical Psychopharmacology · doi:10.1080/24750573.2018.1426696 · Cited by 13
Béland, S., Makowski, C., Konsztowicz, S., Buchy, L., Chakravarty, M. M., & Lepage, M. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.08.024 · Cited by 11
Martinho, S. M., Rosa, B. S., & Silvestre, M. (2022) · BMC Medical Ethics · doi:10.1186/s12910-022-00814-8 · Cited by 10
Parvizi, M., Fadai, F., Khodaei-Ardakani, M. R., Amin, G., Abdi, L., Noroozi, M., & Ansari, I. (2019) · Galen Medical Journal · doi:10.31661/gmj.v8i0.1334 · Cited by 9
Kim, J., Song, J., Kambari, Y., Plitman, E., Shah, P., Iwata, Y., Caravaggio, F., Brown, E. E., Nakajima, S., Chakravarty, M. M., et al. (2023) · Schizophrenia · doi:10.1038/s41537-023-00347-y · Cited by 9
Gündoğmuş, A. G., Gerretsen, P., Song, J., Akdag, F. E., Demirel, C., Kokurcan, A., Örsel, S., Karadağ, H., & Özdel, K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288177 · Cited by 8
Gan, J., Liu, W., Fan, J., Yi, J., Tan, C., & Zhu, X. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.074 · Cited by 8
Ferracuti, S., CASALE, A. D., Romano, A., Gualtieri, I., Lucignani, M., Napolitano, A., Modesti, M. N., Buscajoni, A., Zoppi, T., Kotzalidis, G. D., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1092784 · Cited by 5
Horgoș, B. M., Ungureanu, D., & Crișan, C. (2024) · Psychiatry International · doi:10.3390/psychiatryint5040067 · Cited by 6
Rossetti, M., Stanca, S., Panichi, L. B., & Bongioanni, P. (2024) · Metabolic Brain Disease · doi:10.1007/s11011-024-01447-z · Cited by 5
Setién‐Suero, E., de la Foz, V. O., Suárez‐Pinilla, P., Crespo‐Facorro, B., & Ayesa‐Arriola, R. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110309 · Cited by 5
Gurung, N., & Rai, P. (2025) · Asian Journal of Ethics in Health and Medicine · doi:10.51847/4ojq3hdf85 · Cited by 4
Jing, R., Huang, J., Jiang, D., Lin, X., Ma, X., Tian, H., Li, J., & Zhuo, C. (2017) · Oncotarget · doi:10.18632/oncotarget.23631 · Cited by 5
Ma, C.-C., Kao, Y., Tzeng, N., Chao, C.-Y., Chang, C.-C., & Chang, H. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102171 · Cited by 4
Mäntylä, T. J. S., Kieseppä, T., Suvisaari, J., & Raij, T. T. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111347 · Cited by 4
Song, J., Carmona-Torres, E., Kambari, Y., Chavez, S., Ueno, F., Koizum, T., Amaev, A., Abdolizadeh, A., Luca, V. D., Blumberger, D. M., et al. (2025) · Schizophrenia · doi:10.1038/s41537-024-00536-3 · Cited by 7
Dream Consciousness and the Brain: Relevance to Psychopathology
del Giudice, R., Saunders, A. S., Cavallotti, S., & D’Agostino, A. (2022) · Springer eBooks · doi:10.1007/978-981-16-0123-1_5 · Cited by 3
Song, J., Kim, J., Carmona-Torres, E., Kambari, Y., Ueno, F., Koizumi, T., Iwata, Y., Amaev, A., Luca, V. D., Blumberger, D. M., et al. (2026) · Schizophrenia Bulletin · doi:10.1093/schbul/sbag022 · Cited by 1
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-003
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-006
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-005
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-009
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-004
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-007
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-001
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-002
(2019) · Duke University Press eBooks · doi:10.1215/9781478002444-008
González, F., Hurtado, O. L. M., & Rosenbaum, S. (2024) · Current topics in behavioral neurosciences · doi:10.1007/7854_2024_505
Neural correlates of illness awareness in obesity: an exploratory pilot fMRI study
Song, J., Kim, J., Bukovsky, D., Volpe, G., Morra, M., Kambari, Y., Carmona-Torres, E., Ueno, F., Chow, C., Kyte, S., et al. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1675116
Blagov, P. S., Conner, J., & Singer, J. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33040-7.00008-7
Metadata
- Authors
- Xavier, R. M., & Vorderstrasse, A.
- Affiliations
- Duke University (US)
- Venue
- Nursing Research
- Published
- 2016-05
- Volume
- 65
- Issue
- 3
- Pages
- 224-237
- ISSN
- 0029-6562 (ISSN-L)
- OpenAlex
- W2343857670
- Cited by
- 43
- References
- 64
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 12 · 2018: 8 · 2017: 4
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nursing Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
- Keywords
- insight, schizophrenia, neural correlates, prefrontal cortex, cingulate cortex, hippocampus, temporal lobe, parietal lobe, psychosis, cellular abnormalities, neuroimaging
- MeSH terms
- Brain, Humans, Neuropsychological Tests, Schizophrenia, Schizophrenic Psychology, Outcome Assessment, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review