Table 3.
Functional connectivity studies in CHR and psychosis conversion.
| Author/year | Modality | Study Type | Age Rang (mean) | Case n | Country, other | Abnormalities |
|---|---|---|---|---|---|---|
| Sasabayashi et al., 2023 [85] | FC | SS | 17.8 | 31 | Japan | ↑connectiv bw DMN and occipital |
| Fryer et al., 2022 [86] | FC | SS | 20.3 | 45 | US | ↑connectiv w middle temporal ↓connectiv w cerebell and thalamus |
| Nogovitsyn et al., 2022 [87] | FC | SS | 16.8 | 51 | Canada | ↑connectivity between cerebellum, somatomotor network and middle temporal |
| Bulbul et al., 2022 [88] | FC | SS | 20.2 | 20 | Turkey | ↑connectiv bw DMN and occipital ↓connectiv bw DMN and DAN |
| Osborne et al., 2021 [89] | FC | SS | 18.9 | 56 | US | auditory temporal accuracy deficits associated with abnormal connectiv bw ant cerebellum and striatum |
| Del Fabro et al., 2021 [90] | FC | MA | na | 810 | na | ↓connectivity in salience network in CHR |
| Cao et al. 2020 [91] | FC | SS | 12–35 | 72 | US/Canada NAPLS |
efficiency in DMN and ↑node diversity across all networks with conv. |
| Collin et al. 2020 [92] | FC | SS | 19.2 | 137 | China | Outcomes predicted by DMN and FPN within network connectivity, and multiple between network connectivities |
| Collin et al. 2020 [93] | FC | SS | 18.7 | 158 | China | abnormal modular connectome organization (STG, ACC) with conv. |
| Li et al., 2019 [94] | FC | SS | 24.6 | 24 | China | ↓connectivity bw post insula/somatosensory and bw ant insula/putamen |
| Zhu et al., 2019 [95] | FC | SS | 22 | 74 | China | ↓functional asymmetry in L thalam |
| Du et al., 2018 [96] | FC | SS | 20.4 | 53 | US | Dynamic FC impairments in cerebellum, frontal, thalamus, temporal, and between superior frontal and calcarine cortex in dominant state |
| Bang et al., 2018 [97] | FC | SS | 20.4 | 23 | South Korea | ↓connectiv bw cerebellum with L preSMA and R anterior PFC |
| Mennigen et al., 2018 [98] | FC | SS | 20.4 | 53 | US | ↓neural dynamism in all domains |
| Cao et al. 2018 [82] | FC | SS | 12–35 | 182 | US/Canadas NAPLS |
↑connectiv in cerebello-thalamo-cortical circuitry in CHR and with conv. |
| Pelletier-Baldelli et al., 2018 [99] | FC | SS | 19.1 | 31 | US | ↓dynamic FC conn involving salience net/DMN w sensory/motor/cognitive regions |
| Colibazzi et al. 2017 [100] | FC | SS | 21 | 51 | US | Abnormal patterns of temporal to thalamus connectivity ↑ACC and frontal conn with symptom severity |
| Bernard et al., 2017 [101] | FC | SS | 18.7 | 26 | US | Abnormal cerebello-thalamo-cortical network connectiv with conv. |
| Wang et al. 2016 [81] | FC | SS | 21.5 | 34 | China AN |
↑conn R cerebell and post cing ↑conn cerebell and L sm prefront |
| Anticevic et al. 2015 [80] | FC | SS | 12–35 | 243 | US/Canada NAPLS |
↓conn in thalamo-cortico-cerebell circuitry in CHR and with conv. ↑conn bw thalamus and sensorimotor areas with conv. |
| Pelletier-Baldelli et al., 2015 [102] | FC | SS | 18.9 | 36 | US | ↓conn bw salience network and medial PFC (of DMN) |
| Yoon et al., 2015 [103] | FC | SS | 20.8 | 41 | South Korea | ↑conn bw planum temp to DLPFC ↓conn bw R Heschl’s and ACC |
| Fryer et al. 2013 [83] | FC | SS | 17 | 32 | US | ↓suppression of DMN with cognitive load |
| Gee et al., 2012 [84] | FC | SS | 18.8 | 20 | US/Canada NAPLS |
↓amygdala-prefrontal conn |
| Allen et al. 2012 [104] | FC | SS | 24.2 | 41 | England | ↑midbrain-PFC connectivity w conv. |
| Jung et al., 2012 [53] | FC | SS | 21.6 | 16 | South Korea | ↓connectivity bw Broca and frontal |
| Lord et al. 2012 [105] | FC | SS | 24.5 | 37 | England | no group diff in global network org ↓topographical centrality of ACC with conv. |
| Shim et al., 2010 [106] | FC | SS | 20.8 | 19 | South Korea | ↑connectivity in DMN ↓anti-correlations bw post cingulate and task areas |
ACC = anterior cingulate cortex; AN = antipsychotic naïve; ant = anterior; ATR = anterior thalamic radiation; BG = basal ganglia; bw = between; CC = cerebell = cerebellum; corpus callosum; cing = cingulate; conn/connective = connectivity; conv = conversion to psychosis; DAN = dorsal attention network; diff = differenece; DLPFC = dorsolateral prefrontal cortex; DMN = default mode network; FPN = frontoparietal network; MA = meta-analysis; na = not available; MFG = medial frontal gyrus; mPFC = medial prefrontal cortex; MTL = medial temporal lobe; NAPLS=North American Prodrome Longitudinal Study; n.s. = not significant; QR = quantitative review; SFG = superior frontal gyrus; SR = systematic review; SS = single study; SLF = superior longitudinal fasciculus; sm = superior-medial; SMA = supplementary motor area; STG = superior temporal gyrus; STS = superior temporal sulcus; w = with.