| Literature DB >> 26858660 |
Frauke Schultze-Lutter1, Martin Debbané2, Anastasia Theodoridou3, Stephen J Wood4, Andrea Raballo5, Chantal Michel1, Stefanie J Schmidt1, Jochen Kindler1, Stephan Ruhrmann6, Peter J Uhlhaas7.
Abstract
In its initial formulation, the concept of basic symptoms (BSs) integrated findings on the early symptomatic course of schizophrenia and first in vivo evidence of accompanying brain aberrations. It argued that the subtle subclinical disturbances in mental processes described as BSs were the most direct self-experienced expression of the underlying neurobiological aberrations of the disease. Other characteristic symptoms of psychosis (e.g., delusions and hallucinations) were conceptualized as secondary phenomena, resulting from dysfunctional beliefs and suboptimal coping styles with emerging BSs and/or concomitant stressors. While BSs can occur in many mental disorders, in particular affective disorders, a subset of perceptive and cognitive BSs appear to be specific to psychosis and are currently employed in two alternative risk criteria. However, despite their clinical recognition in the early detection of psychosis, neurobiological research on the aetiopathology of psychosis with neuroimaging methods has only just begun to consider the neural correlate of BSs. This perspective paper reviews the emerging evidence of an association between BSs and aberrant brain activation, connectivity patterns, and metabolism, and outlines promising routes for the use of BSs in aetiopathological research on psychosis.Entities:
Keywords: aetiopathology; basic symptoms; clinical high risk; neurobiology; psychosis
Year: 2016 PMID: 26858660 PMCID: PMC4729935 DOI: 10.3389/fpsyt.2016.00009
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
CHR criteria according to the BSs concept.
| Cognitive disturbances (COGDIS) |
|---|
| ≥2 of the following 9 BSs with at least weekly occurrence (i.e., SPI-A/SPI-CY score of ≥3) within the last 3 months |
| ≥1 of the following 10 BSs with at least weekly occurrence (i.e., SPI-A/SPI-CY score of ≥3) within the last 3 months and 1st occurrence ≥12 months ago (irrespective of frequency and persistence during this time) |
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Summary of neurobiological studies of basic symptoms.
| Study | Aims and hypotheses | Sample and assessments | Main results | Discussion and conclusion | ||
|---|---|---|---|---|---|---|
| Pukrop et al. ( | Aim: identifying potential biobehavioral risk factors and investigate illness progression within a cross-sectional design | Sample: COPER/GRFD ( | COPER/GRFD > APS/BLIPS > FEP > MEP | Results support a neurodevelopmental model of psychosis with further progressive mechanisms and are consistent with a primary involvement of left frontotemporal networks in the prodromal phase | ||
| Simon et al. ( | Aim: better understanding of cognitive functioning and its course in CHR states of psychosis | Sample: BS ( | BSs patients worse compared with normative data (working memory, verbal fluency), but not compared to PCo | Most pronounced deficits affect executive functions and working memory → frontal lobe dysfunction in CHR groups | ||
| Schultze-Lutter et al. ( | Aim: possible association between subjective and objective cognitive disturbances and their relation to different CHR states | Sample: COPER/GRFD ( | COPER/GRFD > APS/BLIPS | Results support earlier findings showing lack of association between neurocognitive deficits and psychopathologic features. Possible additional predictive power of neurocognitive deficits in CHR states | ||
| Frommann et al. ( | Aim: addressing the neurocognitive functions of 2 different CHR groups in comparison to a healthy control group | Sample: COPER/GRFD ( | HC > COPER/GRFD > APS/BLIPS | Executive control seems to be compromised in the COPER/GRFD (prior to the onset of positive symptoms), whereas verbal memory dysfunctions appear to evolve during a later prodromal stage | ||
| Simon et al. ( | Aim: long-term follow-up of CHR individuals and their cognitive performance. Comparing individuals who later convert to psychosis with those who do not convert to psychosis | Sample: BS ( | At baseline BS group was impaired, but less than UHR group (verbal memory, verbal fluency, executive functions) | Even in the absence of psychotic symptoms cognitive functioning, including executive functioning, was impaired in this CHR sample, this calls for strong efforts to address and remediate cognitive impairments as early as possible in CHR patients | ||
| Koutsouleris et al. ( | Aim: can multivariate neurocognitive pattern classification facilitate the diagnostic identification of different CHR states for psychosis and facilitate an individualized prediction of illness transition | Sample: HC ( | COPER/GRFD patients performed worse in spatial working memory (SOPT) and, processing speed (TMT-A) and executive functions (TMT-B) compared to HC | The binary classification results suggest that a pattern of altered verbal and mnemonic functions may reliably distinguish CHR individuals experiencing predictive basic symptoms from healthy controls | ||
| Haug et al. ( | Aim: explore the relationships between SDs, as measured by the EASE, and neurocognitive test performance in the early phase of schizophrenia | Sample: SZ ( | EASE total score was significantly associated with verbal memory (high levels of SDs were associated with impaired verbal memory) | General lack of associations between SDs and neurocognition is that SDs and these specific neurocognitive functions could represent different basic expressions of the illness | ||
| Nordgaard et al. ( | Aim: explore potential associations between SDs, neurocognitive performance, rationality and IQ in patients with schizophrenia | Sample: SZ ( | No significant correlation was found between SDs and neurocognitive performance | The general lack of associations between SDs and neurocognitive performance suggests that these phenomena represent different aspects of the disorder – i.e., SDs seem to reflect aspects that are essential or specific to schizophrenia, whereas impaired neurocognitive performance does not | ||
| Korver et al. ( | Aim: investigation of the relationship between cannabis use, UHR symptoms and neuropsychology | Sample: UHR subjects ( | More basic symptoms and UHR symptoms in cannabis-using UHR subjects compared to non-using UHR subjects | The association between frequency of cannabis use and UHR symptoms led to the assumption that frequent use of cannabis is related to changes in visual information processing | ||
| Morgan et al. ( | Aim: (1) Assess the degree of basic symptoms in currently non-psychotic users of 3 classes of drugs, namely cannabis (high-potency cannabis), stimulants (cocain) and dissociative anesthetics (ketamine). (2) Investigate measures that have shown sensitivity to cognitive deficits in prodromal individuals | Sample: | Deficits in working memory were only found in ketamine users and deficits in frontal functioning in ketamine and high-potency cannabis users. Long-term memory was impaired in all drug users | Ketamine, high-potency cannabis and cocaine users showed basic symptoms, whereas ketamine users exhibited highest levels of basic symptoms | ||
| Koethe et al. ( | Aim: to evaluate whether changes in the endocannabinoid system [i.e., Anandamide in cerebrospinal fluid (CSF)] are detectable in initial prodromal states of psychosis | Sample: HC ( | Cerebrospinal Anandamide levels in patients were significantly elevated. Patients with lower levels showed a higher risk for transiting to psychosis earlier | The up-regulation of Anandamide in the initial prodromal course suggests a protective role of the endocannabinoid system in early schizophrenia | ||
| Huang et al. ( | Aim: to evaluate whether CSF alterations of glucose, lactate, VGF and transthyretin, that have been found in SZ, are already detectable in UHR | Sample: FEP, drug naive ( | ~1/3 of UHR patients displayed proteomic/metabolic profiles characteristic of FEP, drug naive, i.e., changes in levels of glucose, lactate, VGF-derived peptide (VGF23-62) and transthyretin | Schizophrenia-related biochemical disease processes can be traced in CSF of prodromal patients | ||
| Wölwer et al. ( | Aim: to investigate impairments of facial affect recognition and its neurophysiological correlates in two different CHR states | Sample: HC ( | Facial affect recognition in CHR < HC, no significant difference between CHR groups | (1) The ability to discriminate emotional expressions in faces is impaired in the CHR state (COPER/GRFD as well as APS/BLIPS), demonstrating an impairment of social cognition already before the first psychotic episode | ||
| Frommann et al. ( | Aim: to determine whether individuals in two different CHR states show P300 amplitude reductions and altered topography | Sample: HC ( | Hit rate: APS/BLIPS = HC, COPER/GRFD = HC* | P300 activity in the COPER/GRFD differed only at left temporoparietal position from HC, whereas in the APS/BLIPS, markedly amplitude reductions were observed, pronounced over the left hemisphere | ||
| Arnfred et al. ( | Aim: explore potential associations between SDs and abnormalities of early contralateral proprioceptive evoked oscillatory brain activity | Sample: SZ ( | Higher EASE scores (i.e., increased SDs) were associated with lower peak parietal gamma frequencies and higher peak beta amplitudes over frontal and parietal electrodes in the left hemisphere following right-hand proprioceptive stimulation | SDs may be associated with dysfunction of early phases of somatosensory processing | ||
| Sestito et al. ( | Aim: to investigate the relation between SDs and subtle, schizophrenia-specific impairments of emotional resonance that are supposed to reflect abnormalities in the mirror neurons mechanism. To test whether electromyographic response to emotional stimuli (i.e., a proxy for subtle changes in facial mimicry and related motor resonance mechanisms) would predict the occurrence of anomalous subjective experiences (i.e., SDs) | Sample: SZ spectrum ( | SZ spectrum patients showed an imbalance in emotional motor resonance with a selective bias toward negative stimuli, as well as a multisensory integration impairment. Multiple regression analysis showed that electromyographic facial reactions in response to negative stimuli presented in auditory modality specifically and strongly correlated with SDs subscore | The study confirms the potential of SDs as target phenotype for neurobiological research and encourages research into disturbed motor/emotional resonance as possible body-level correlate of disturbed subjective experiences in SZ spectrum | ||
| Sestito et al. ( | Aim: to explore whether a low or high emotional motor resonance occurring in SZ spectrum relates to clinical features and BSs | Sample: SZ spectrum ( | SZ spectrum patients more resonating with negative emotional stimuli (i.e., externalizers) had significantly higher scores in BSABS Cluster 3 (vulnerability) and more psychotic episodes than internalizers patients. SzSp patients more resonating with positive emotional stimuli (i.e., externalizers) scored higher in BSABS Cluster 5 (interpersonal irritation) than internalizers | Abnormal subjective experiences are related to low-level emotional motor mechanisms disruption, indexed by electromyographic facial reactions | ||
| Van Tricht et al. ( | Aim: quantitative EEG spectral power and alpha peak frequencies (APF) were determined in CHR subjects | Sample: CHR ( | Compared to CHR without transition HC, CHR with transition showed higher theta and delta on frontal and central scalp locations and lower occipital-parietal APF. Furthermore, in CHR without transition, upper parietal alpha was lower compared to HC. A model for prediction of psychosis included frontal theta and delta as well as the APF as predictors of 18-month conversion rates | Theta and delta ranges and APF can contribute to the short-term prediction of a first psychotic episode | ||
| Andreou et al. ( | Aim: investigate EEG resting-state connectivity in CHR compared to SZ spectrum and HC, and its association with cognitive deficits | Sample: CHR ( | SZ displayed increased theta-band resting-state multivariate interaction measure connectivity across midline, sensorimotor, orbitofrontal regions and the left temporoparietal junction. CHR displayed intermediate theta-band connectivity patterns that did not differ from either SZ or HC: mean theta-band connectivity within the above network partially mediated verbal memory deficits in SZ and CHR | Aberrant theta-band connectivity may represent a trait characteristic of schizophrenia associated with neurocognitive deficits | ||
| Ramyead et al. ( | Aims: to assess whether abnormalities in current source density (CSD) and lagged phase synchronization of oscillations across distributed regions of the brain already occur in patients with CHR state for psychosis | Sample: CHR ( | CHR with transition showed higher gamma activity in the medial prefrontal cortex compared to HC, which was associated with abstract reasoning abilities in CHR with transition. Furthermore, in CHR with transition lagged phase synchronization of beta oscillations decreased more over Euclidian distance compared to CHR without transition and HC. Finally, this steep spatial decrease of phase synchronicity was most pronounced in CHR with transition patients with high positive and negative symptoms scores | Patients who will later make the transition to psychosis are characterized by impairments in localized and synchronized neural oscillations providing new insights into the pathophysiological mechanisms of schizophrenic psychoses and may be used to improve the prediction of psychosis | ||
| Hurlemann et al. ( | Aims: to which extent interrelated structural–functional deficits of the hippocampus reflect a vulnerability to schizophrenia? | Sample: COPER/GRFD ( | Hippocampal volume decrease in COPER/GRFD of 7.7% | Progressive and interrelated structural–functional pathology of the hippocampus could be an index of increased risk for schizophrenia | ||
| Koutsouleris et al. ( | Aims: (1) to investigate structural brain differences between participants with COPER/GRFD or APS/BLIPS. (2) To examine associations between structural differences and later disease conversion | Sample: COPER/GRFD ( | Gray matter reductions (controls > COPER/GRFD) in fusiform, superior, middle and inferior temporal gyri, as well as amygdala and hippocampus, bilaterally. For COPER/GRFD > APS/BLIPS, differences in frontal clusters in left subgenual anterior cingulate cortex as well as in the ventromedial prefrontal cortex and dorsomedial prefrontal cortex, bilaterally | BSs are associated with medial and lateral temporal lobe abnormalities, as well as subtle perisylvian, prefrontal, parietal, thalamic and cerebellar anomalies; APS/BLIPS mark are characterized by more pronounced structural anomalies within these regions | ||
| Koutsouleris et al. ( | Aims: to investigate the ability of support vector machines (SVMs) to detect different CHR states by performing a classification of HC vs. individuals with CHR (grouped into COPER/GRFD and APS/BLIPS) and to further evaluate SVMs’ performance in predicting transition in the CHR converting to clinical disorders | Sample: COPER/GRFD ( | Multivariate neuroanatomical pattern classification can accurately discriminate between COPER/GRFD, APS/BLIPS, and HC. COPER/GRFD patterns appear be distinguishable from HC on the basis of gray matter patterns of both augmentations and reductions in temporal lobe regions. They differ from APS/BLIPS on the basis of gray matter patterns around the cingulate cortex and the perisylvian fissure | COPER/GRFD without other CHR criteria, appear to be distinguishable from both HC and APS/BLIPS subgroups; however, the pattern linked to conversion is not as clear in COPER/GRFD as it is in APS/BLIPS. This is partly due to the fact that a very low proportion of COPER/GRFD patients converted to psychosis (1 on 20) in this study | ||
| Koutsouleris et al. ( | Aims: to test the “accelerated aging” hypothesis across different psychiatric disorders, using brain age gap estimations; to employ multivariate pattern analysis (MPVA) to estimate classifiers’ ability to distinguish between different pathologies | Sample: COPER/GRFD ( | Results yield negative brainage effects in the COPER/GRFD group | It appears that the COPER/GRFD group showed “decelerated brain aging”; the authors suggest this effect could be due to a maturational delay mechanism, or a compensatory neural mechanism at the early stage of the disease | ||
| Tepest et al. ( | Aims: to investigate interhemispheric connectivity, using measures of the corpus callosum (CC); to investigate corticocortical connectivity, using a gyrification index (GI) measure | Sample: CHR ( | GI frontal region | Results suggest an impairment in short-range corticocortical connectivity, whereas no impaired long-range connectivity no difference in CC measurements | ||
| Ebisch et al. ( | Aims: do FEP patients show functional activation abnormalities during social perception of other individuals’ affective tactile stimulation? | Sample: FEP ( | Ventral premotor cortex activation negatively correlates with SPI-A basic symptom scores (0–150) | Results likely reflect poor multisensory integration in the vPMC (visual, tactile, proprioceptive self-experiences) | ||
| Ebisch et al. ( | Aims: investigate connectivity underlying the link between aberrant self-experience and social cognition in FEP | Sample: FEP ( | Connectivity between ventral premotor cortex and posterior cingulate cortex correlates with SPI-A basic symptom scores (0–150) | Increased functional coupling between antagonistic functional networks may alter functional segregation, thereby disturbing the relationship between the intrinsic (self-referential) and extrinsic (interacting) self | ||
| Wotruba et al. ( | Aims: to examine whether salience network (SN) disturbances can be evidenced in CHR. Furthermore, to explore if within and between intrinsic functional connectivity in the SN, default mode network (DMN) and task-positive network (TPN) are associated to symptoms related to reality distortions and cognitive processing in CHR subjects | Sample: BS ( | mPFC–rDLPFC connectivity, as well as rAI-PCC connectivity increased in BSs and UHR vs. HC (anticorrelated for controls). Significant anticorrelation between the task-positive network (bilateral fronto-parietal) and DMN for HC, but not CHR groups | Absence of typical anticorrelated patterns may relate to irregularities in discrimination between external and internal sources of information, thereby potentially leading to risk symptoms. Note however that no significant differences were found between BSs risk and UHR (UHR seems to show trend-like increased connectivity in rAI-PCC) | ||
| Wotruba et al. ( | Aims: explore functional brain correlates during both anticipation and receipt of rewards and to evaluate their association with symptoms in unmedicated persons at risk for psychosis | Sample: CHR ( | During reward anticipation, increased in CHR: PCC, SFG, medial frontal gyrus. No correlations with BSs, but with SIPS positive in ventral striatum and rAI (positive correlation) | Evidence for dysregulation of reward processing in risk period, with frontal compensation. Higher striatal activation might be linked to “increased salience” hypothesis in early stages | ||
| Ferri et al. ( | Aim: to examine embodied simulation as driven by mirror neuron in schizophrenia | Sample: SZ ( | Lower activation of the left inferior parietal lobule when observing neutral action correlated with increased basic symptoms score | Emotional cues might allow SZ patients to recover mirror neuron-driven embodied simulation at least in part. However, their understanding of the emotional components of others’ actions will likely remain deficient | ||
SPI-A, Schizophrenia Proneness Instrument, Adult version; SPI-CY, Schizophrenia Proneness Instrument, Child and Youth version; BSABS, Bonn Scale for the Assessment of Basic Symptoms; EASE, Examination of Anomalous Self-Experience; ERIraos, Early Recognition Inventory/Interview for the Retrospective Assessment of the Onset of Schizophrenia; SIPS/SOPS, Structured Interview for Prodromal Syndromes; CAARMS, Comprehensive Assessment of At Risk Mental States; CHR, clinical high risk; BSs, basic symptoms; SDs, self-disturbances; UHR, ultra-high risk; FEP, first-episode psychosis; MEP, multiple episode psychosis; SZ, schizophrenia; PCo, patient controls; HC, healthy controls.
Neurocognitive tests: MWT, Mehrfach–Wortschatz-Test; CPT-IP, Continuous Performance Test-Identical Pairs version; TAP, Testbatterie zur Aufmerksamkeitsprüfung; DRT, Delayed Response Task; LNS, Letter-Number Span; DS, Digit Span Test; SOPT, Subject Ordered Pointing Task; AVLT, Rey Auditory Verbal Learning Test; ROFT, Rey–Osterrieth Complex Figure Test; WMS, Wechsler Memory Scale; TMT, Trail-Making Tests; DST, Digit Symbol Test; WCST, Wisconsin Card Sorting Test; RBMT, Rivermead Behavioural Memory Test; STW, Spot The Word Test; FTT, Finger-Tapping Test; CVLT, California Verbal Learning Test.
Neuroimaging: vPMC, ventral premotor cortex; mPFC, medial prefrontal cortex; rDLPFC, right dorsolateral prefrontal cortex; PCC, posterior cingulate cortex; rAI, right anterior insula; SFG, superior frontal gyrus; mOFC, medial orbitofrontal cortex.