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compose/neurosynth-frontend/src/pages/MetaAnalysis/components/DisplayParsedNiMareFile.tsx
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| @@ -0,0 +1,85 @@ | ||
| import { HelpOutline } from '@mui/icons-material'; | ||
| import { Box, Icon, Paper, Tooltip, Typography } from '@mui/material'; | ||
| import { useMemo } from 'react'; | ||
|
|
||
| const nimareOutputs = { | ||
| // possible value types | ||
| z: 'Z-statistic', | ||
| t: 'T-statistic', | ||
| p: 'p-value', | ||
| logp: 'Negative base-ten logarithm of p-value', | ||
| chi2: 'Chi-squared value', | ||
| prob: 'Probability value', | ||
| stat: 'Test value of meta-analytic algorithm (e.g., ALE values for ALE, OF values for MKDA)', | ||
| est: 'Parameter estimate (IBMA only)', | ||
| se: 'Standard error of the parameter estimate (IBMA only)', | ||
| tau2: 'Estimated between-study variance (IBMA only)', | ||
| sigma2: 'Estimated within-study variance (IBMA only)', | ||
| label: 'Label map', | ||
| // methods of meta analysis | ||
| desc: 'Description of the data type. Only used when multiple maps with the same data type are produced by the same method.', | ||
| level: 'Level of multiple comparisons correction. Either cluster or voxel.', | ||
| corr: 'Type of multiple comparisons correction. Either FWE (familywise error rate) or FDR (false discovery rate).', | ||
| method: 'Name of the method used for multiple comparisons correction (e.g., “montecarlo” for a Monte Carlo procedure).', | ||
| diag: 'Type of diagnostic. Either Jackknife (jackknife analysis) or FocusCounter (focus-count analysis).', | ||
| tab: 'Type of table. Either clust (clusters table) or counts (contribution table).', | ||
| tail: 'Sign of the tail for label maps. Either positive or negative.', | ||
| }; | ||
|
|
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| const parseSegment = (segment: string): { key: string; keyDesc: string; value: string } => { | ||
| const [key, value] = segment.split('-'); | ||
| if (value === undefined) { | ||
| // not a method | ||
| return { | ||
| key: 'type', | ||
| keyDesc: 'The type of data in the map.', | ||
| value: `${nimareOutputs[key as keyof typeof nimareOutputs]}`, | ||
| }; | ||
| } else { | ||
| return { | ||
| key: key, | ||
| keyDesc: nimareOutputs[key as keyof typeof nimareOutputs], | ||
| value: value, | ||
| }; | ||
| } | ||
| }; | ||
|
|
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| const DisplayParsedNiMareFile: React.FC<{ nimareFileName: string | undefined }> = (props) => { | ||
| const fileNameSegments = useMemo(() => { | ||
| if (!props.nimareFileName) return []; | ||
| const segments = props.nimareFileName.replace('.nii.gz', '').split('_'); | ||
| return segments.map(parseSegment); | ||
| }, [props.nimareFileName]); | ||
|
|
||
| return ( | ||
| <Box display="flex" flexWrap="wrap" justifyContent="space-between"> | ||
| {fileNameSegments.map((segment) => ( | ||
| <Paper | ||
| key={segment.key} | ||
| component={Box} | ||
| variant="elevation" | ||
| display="flex" | ||
| flexDirection="column" | ||
| width="30%" | ||
| marginBottom="0.5rem" | ||
| padding="0.5rem" | ||
| elevation={1} | ||
| > | ||
| <Box display="flex" alignItems="center"> | ||
| <Typography color="muted.main" gutterBottom={false} variant="caption" marginRight="4px"> | ||
| {segment.key} | ||
| </Typography> | ||
| <Tooltip title={<Typography variant="caption">{segment.keyDesc}</Typography>} placement="top"> | ||
| <Icon fontSize="small"> | ||
| <HelpOutline fontSize="small" sx={{ color: 'muted.main' }} /> | ||
| </Icon> | ||
| </Tooltip> | ||
| </Box> | ||
| <Typography variant="body2">{segment.value}</Typography> | ||
| </Paper> | ||
| ))} | ||
| </Box> | ||
| ); | ||
| }; | ||
|
|
||
| export default DisplayParsedNiMareFile; |