Submitted:
07 March 2024
Posted:
08 March 2024
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Abstract
Keywords:
1. Introduction
2. Literature Review
2.1. Neurobiological Pattern in Psychotic Spectrum
2.2. Neurocognitive Pattern in Psychotic Spectrum
2.3. Neuropsychological Functioning of Dementia Patients with Psychosis
2.4. Relationship between Childhood Trauma and Psychosis
2.4. Neuropsychological Interventions and Rehabilitation in Psychotic Spectrum
- [RQ1] How do cognitive impairments, particularly in memory, attention, and executive function, manifest in psychotic spectrum disorders, and what is their relation to abnormalities in brain regions such as the prefrontal cortex, hippocampus, and thalamus?
- [RQ2] What is the diagnostic importance of neuropsychological tests in identifying these cognitive deficiencies, and how can these deficiencies predict the onset and progression of psychotic disorders?
- [RQ3] How effective are current intervention strategies and therapy methods in cognitive rehabilitation for patients with psychotic spectrum disorders, and what is the potential for future research in this area?
- [RQ4] What role do genetic and environmental factors play in the risk factors for schizophrenia and other psychotic spectrum disorders?
2. Materials and Methods
3. Results
- The emergence of psychotic spectrum symptoms in individuals with a familial high risk was associated with a smaller cross-sectional surface area and progressive cortical thinning. This suggests that the brain structure changes associated with the illness could begin progressively during childhood and adolescence.
- There were early areas of overlap between schizophrenia offspring (SzO) and bipolar offspring (BpO) in the occipital cortex, indicating possible common neurodevelopmental pathways in these high-risk groups.
- Both FHR individuals who developed psychotic spectrum symptoms and those who did not show less time-related decrease in total surface area, indicating different trajectories of change in surface area over time between familial risk for schizophrenia versus bipolar disorder.
- Both a history of psychosis and a diagnosis of BD-I were associated with more pronounced global cognitive impairment compared to BD-II and NPBD.
- Individuals with BD-I underperformed in specific cognitive domains, such as verbal memory, processing speed, executive function (EF) speed, and EF accuracy, compared to those with BD-II.
- Psychotic BD was associated with significantly impaired cognition compared to NPBD across various cognitive domains.
- Acute Threat Response: There were decreased activations in several brain regions, suggesting deficits in the neural processing of threat-related stimuli.
- Social Cognition: Altered activations were found in multiple brain regions, pointing to abnormalities in understanding social cues and processing social information.
- Cognitive Control: Reduced activation in specific brain regions was observed, highlighting difficulties in exerting control over thoughts and actions.
- Punishment and Reward Processing: The study also explored, but did not explicitly detail in this section, the neural correlates associated with processing punishment and rewards, which are critical in guiding antisocial and pro-social behaviors.
- Patients with acute psychosis had significantly higher plasma concentrations of pro-inflammatory markers such as CRP, CCL2, IL1RA, IL6, IL8, and TNFα, and lower concentrations of neuroendocrine pathway markers such as KA and KA/Kyn. These markers normalized after treatment.
- The levels of nitrite, another immune marker, increased sharply after the initiation of antipsychotic medication.
- Positive symptoms during the acute episode correlated with pro-inflammatory markers, while negative symptoms correlated inversely with IDO pathway markers.
4. Discussion
- [RQ1] Cognitive impairments in memory, attention, and executive function are significantly more pronounced in individuals with psychotic spectrum disorders compared to the general population, and these impairments are correlated with structural and functional abnormalities in specific brain regions such as the prefrontal cortex, hippocampus, and thalamus.
- [RQ2] Neuropsychological tests are reliable diagnostic tools that can identify cognitive deficiencies early in the disease process of psychotic disorders and can predict the onset and progression of these conditions.
- [RQ3] Intervention strategies focused on cognitive rehabilitation can significantly improve cognitive functions in patients with psychotic spectrum disorders, highlighting the potential for new therapeutic approaches based on neuroplasticity and cognitive training.
- [RQ4] Genetic predispositions, combined with environmental stressors, significantly increase the risk of developing psychotic spectrum disorders, suggesting that early intervention and prevention strategies should target high-risk individuals with a familial history of these disorders.
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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| Authors | Sample | Outcomes Measured | Main Findings |
|---|---|---|---|
| Keshavan et al., 2020 [60] | Total: 446 | The main or primary outcome measured in the study is the functional outcome in psychotic disorders, particularly related to cognitive impairments and mismatch negativity (MMN) as a biomarker of psychosis. |
|
| Nelson et al., 2020 [61] | Total: 123 [Ultra-high risk for psychosis: 50 - First episode psychosis: 39 - Healthy controls: 34] | Examination of Anomalous Self-Experience (EASE) scores |
|
| Lewandowski et al., 2020 [62] | Total: 228 | Neuroprogressive trajectories of neurocognition, structural brain measures, and network connectivity over the first eight years of illness, and their predictive utility on clinical and functional outcomes |
|
| Culbreth et al., 2018 [63] | Total: 74 | The main or primary outcome measured in the study is the association between late positive potential (LPP) amplitude and symptom severity in individuals diagnosed with affective psychosis and individuals with schizophrenia, including concurrent and prospective associations with symptoms. |
|
| Sugranyes et al., 2020 [64] | Total: 128 [SzO: 33- BpO: 46- Controls: 49] | Longitudinal changes in measures of brain structure, including cortical thickness, surface area, and grey matter volume, in children and adolescents at familial high risk (FHR) for bipolar disorder or schizophrenia who experienced psychotic spectrum symptoms over time |
|
| Bora, 2018 [65] | Total: 2047 [BD-I: 1211- BD-II: 836] Total: 1761 [PBD: 1017- NPBD: 744] | Cognitive impairment in different subgroups of bipolar disorder, including BD-I and BD-II, as well as subgroups based on history of psychosis (PBD and NPBD) |
|
| Wang et al., 2018 [66] | Total: 616 [P-BD patients and 902 healthy subjects] | GMV differences between P-BD patients and HC, specifically involving the prefronto-temporal and cingulate cortices, precentral gyrus, and insula |
|
| McCleery & Nuechterlein, 2019 [67] | Total: 105 | The main or primary outcome measured in the study is not explicitly stated. However, based on the content of the paper, the main or primary outcome measured seems to be the prevalence, profile, and magnitude of cognitive impairment in psychotic disorders, as well as the longitudinal stability of cognitive impairment. |
|
| Vargas et al., 2018 [68] | Total: 3315 | Association between childhood trauma and overall neurocognitive function in individuals with psychotic disorders, Relationship between childhood trauma and working memory in individuals with psychotic disorders |
|
| Widmayer et al., 2019 [69] | Total: 334 patients and 113 controls [236 patients and 92 HC subjects] | - |
|
| Smucny et al., 2018 [70] | Total: 193 [SZ: 65- Schizophreniform: 2- Schizoaffective: 13- BD Type I with psychotic features: 27- Healthy control: 86] | d-prime context |
|
| Hallford & Sharma, 2019 [71] | Total: 4221 [Schizophrenia-spectrum: 3300- Major depression: 921] | Self-reported anticipatory pleasure in individuals with psychiatric disorders compared to control groups |
|
| Dwyer et al., 2020 [72] | Total: 1223 [Discovery sample: 765- Validation sample: 458] | Subtype-specific illness courses including psychosis symptoms, depression symptoms, global functioning, and quality of life; polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement |
|
| O’Neill et al., 2018 [73] | Total: 526 [combined HC groups), 420 (combined patient groups)] | Functional connectivity (FC) of the default mode (DMN), salience (SN), and central executive networks (CEN) in patients with first-episode psychosis (FEP) compared to healthy controls |
|
| Connors et al., 2018 [74] | Total: 445 | The main or primary outcome measured in the study includes neuropsychiatric symptoms, dementia severity, cognition, function, caregiver burden, medication use, and mortality. |
|
| Dugré et al., 2020 [75] | Total: 2555 | Functional brain deficits in individuals with conduct problems (CP) and its adult form, adult antisocial behaviors, across distinct neurocognitive domains, including acute threat response, social cognition, cognitive control, and punishment and reward processing |
|
| Vaquerizo-Serrano et al., 2021 [76] | Total: 16,474 [CHR-P: 875] | The primary outcome measured in the study is the presence of ASD in CHR-P individuals. |
|
| Jonas et al., 2022 [77] | Total: 428 | Preadmission cognitive scores extracted from school and medical records and postonset cognitive scores based on neuropsychological testing at 6-month, 24-month, 20-year, and 25-year follow-ups |
|
| D’Antonio et al., 2019 [32] | Total: 40 [AD+P: 20- AD-P: 20- HC: 20] | Impairment in specific cognitive domains predicting the onset of psychosis in AD patients, Grey matter alterations, their location, and the rate of atrophy associated with psychosis of AD |
|
| Demro et al., 2022 [78] | Total: 332 [Schizophrenia: 105- Schizoaffective: 17- Bipolar I disorder with psychotic features: 41- First-degree biological relatives: 103- Controls: 66- Completed both studies: 42- Bipolar I disorderwithout psychosis: 15- Relatives of individuals with bipolar I disorder without psychosis: 7] | Advanced brain-age measured using the Brain-Age Regression Analysis and Computation Utility Software (BARACUS) prediction model, compared between individuals with a primary psychotic disorder and people with bipolar I disorder with a history of psychotic symptoms, as well as their biological first-degree relatives. The study also examined the association between advanced brain-age and cognitive functioning, general functioning, and clinical diagnostic boundaries. |
|
| Voineskos et al., 2020 [79] | Total: 88 | Primary outcome: cortical thickness in gray matterSecondary outcome: microstructural integrity of white matter |
|
| Waszczuk et al., 2021 [80] | Total: 881 | The presence of subtle abnormalities in white matter tracts connecting the frontal and temporal lobes, especially the SLF, ILF, and IFOF |
|
| Bloomfield et al., 2021 [81] | Total: 24,793 [Clinical: 1,639- Non-clinical: 23,154] | The potential roles of psychological processes in the associations between developmental trauma and specific psychotic experiences (i.e., hallucinations, delusions, and paranoia) in adulthood |
|
| Viher et al., 2021 [82] | Total: 83 | Association between Neurological Soft Signs (NSS) and white matter alterations in adults with schizophrenia |
|
| Ludwig et al., 2019 [83] | Total: 2498 | Effectiveness of emotion regulation strategies in patients with psychotic disorders, specifically the association between maladaptive strategies and positive symptoms |
|
| Wu & Xiao, 2023 [84] | Total: 655 | The primary outcome measured in the study is detecting brain abnormalities in diverse psychiatric illnesses with neuroimaging versus conventional methods. |
|
| Howes et al., 2018 [85] | Total: 38 [-Schizophrenia: 16- Bipolar affective disorder: 22] | Striatal dopamine synthesis capacity (Kicer), Correlation of Kicer with positive psychotic symptom severity |
|
| Gama Marques & Ouakinin, 2019 [86] | Total: 192 [- SCZ: 44- SAF: 44- Bipolar controls: 44- Follow-up patients: 60 - SCZ: 30 - SAF: 30] | Assessment of unconjugated bilirubin (UCB) as a biomarker for schizophrenia (SCZ) and schizoaffective (SAF) spectrums disorder during relapse and partial remission |
|
| Anteraper et al., 2021 [87] | Total: 237 [- CHR: 144- CHR+: 23- HC: 93] | Resting-state functional connectivity (RsFc) differences in the dentate nuclei (DN) that may precede the onset of psychosis in individuals at risk of developing schizophrenia |
|
| Koike et al., 2021 [88] | Total: 50 [- Female: 23] | The relationship between neurocognitive deficits and improvements in UHR individuals and their association with symptom severity outcomes, as well as the paths from brain structural and functional characteristics to neurocognitive function and symptom severity outcomes |
|
| Ruiz et al., 2020 [89] | Total: 2205 | Effort failure rate and moderators of effort test |
|
| Kim et al., 2021 [90] | Total: 64 [- FEP: 35- Healthy Controls: 29] | The correlation between ToM strange story scores and the FA values of the left cingulum and left SLF in patients with FEP |
|
| Torrent et al., 2018 [91] | Total: 192 [Non-affective psychoses: 142- Affective psychoses: 50] | Functioning at follow-up, assessed by a regression model composed of PANSS total score and verbal fluency assessed by the FAS (COWAT) |
|
| Stein et al., 2022 [92] | Total: 1071 | Association of FTD dimensions with GMV and FA, establishment of a transdiagnostic factor model of FTD, and linking psychopathological factors to brain structural measures across disorders |
|
| Muetzel et al., 2018 [93] | Total: 845 | Association between psychiatric symptoms (externalizing and internalizing) at baseline and the changes in subcortical gray matter volume and global fractional anisotropy over time |
|
| Lepage et al., 2020 [94] | Total: 80 | Change in cortical thickness and volume of the hippocampus as a function of the duration of unremitted positive symptoms |
|
| Papanastasiou et al., 2018 [95] | Total: 1434 [- High PLEs: 149- Low PLEs: 149] | Brain activation during a monetary incentive delay reward task in healthy adolescents at ages 14 and 19 years old |
|
| De Picker et al., 2020 [96] | Total: 101 [- Patients: 49- Healthy control subjects: 52] | Identification of state and trait markers in the peripheral immune system and two immune-associated neuroendocrine pathways (IDO and GTP-CH1 pathway) in a longitudinal sample of psychosis patients |
|
| Kuipers et al., 2018 [97] | Total: 8580 [Follow-up subsample: 2406] | Persecutory ideation, hallucinations, affective symptoms, effects of cannabis and problematic alcohol use |
|
| Sánchez-Morla et al., 2018 [98] | Total: 139 [- Euthymic bipolar patients: 99 - Healthy controls: 40] | Change in neurocognitive composite index (NCI) over a 5-year follow-up period, specifically in relation to the number of manic and hypomanic episodes experienced by bipolar patients, as well as its association with working memory and visual memory |
|
| Chendo et al., 2022 [99] | Total: 2919 for psychosis and 3161 for any form of hallucination. | Frequency of psychosis and any form of hallucination in PD patients |
|
| Gur et al., 2023 [100] | Total: 157 [- PS+: 98- PS-: 59] | Differences in the trajectories of psychosis symptoms and neurocognitive performance between the PS+ and PS- groups, and the impact on functional outcome |
|
| Haukvik et al., 2018 [101] | Total: 2393 [- Schizophrenia patients: 909- Bipolar disorder patients: 625- Healthy controls: 1089] | Hippocampal subfield volumes or shape in schizophrenia and bipolar disorder |
|
| Rössler et al., 2018 [102] | Total: 54 [- L-DOPA: 33- Placebo: 32] | The main or primary outcome measured in the study is the significant functional decoupling from the right ventral caudate to both occipital fusiform gyri. |
|
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