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"subject_species": "homo sapiens",
"figure": "",
"handedness": null,
"age": null,
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"race": null,
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"BMI": null,
"fat_percentage": null,
"waist_hip_ratio": null,
"mean_PDS_score": null,
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"days_since_menstruation": null,
"hours_since_last_meal": null,
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"bis11_score": null,
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"reduced_representation": "http://neurovault.org/media/images/13676/transform_4mm_794807.npy",
"is_thresholded": false,
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"number_of_subjects": 100,
"modality": "fMRI-BOLD",
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"contrast_definition": "",
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"image_type": "statistic_map"
},
{
"url": "http://neurovault.org/images/790132/",
"id": 790132,
"file": "http://neurovault.org/media/images/13320/ANCOVA_VTASN_CDMB__control-experimental_CDMB.nii.gz",
"collection": "http://neurovault.org/collections/13320/",
"collection_id": 13320,
"file_size": 226004,
"cognitive_paradigm_cogatlas": "rest eyes open",
"cognitive_paradigm_cogatlas_id": "trm_4c8a834779883",
"cognitive_contrast_cogatlas": "rest eyes open",
"cognitive_contrast_cogatlas_id": "cnt_54e6a3ceb7216",
"map_type": "univariate-beta map",
"analysis_level": "group",
"name": "ANCOVA: VTA/SN RSFC change + CDMB - control-experimental_CDMB",
"description": "The main analysis focused on FC between aHPC and VTA/SN. However, whole-brain seed-based RSFC analyses were conducted for exploratory purposes. For this, data from pre- and post-learning rest phases from each subject were loaded into ‘3dGroupInCorr’, specifying aHPC and VTA/SN as seeds, respectively, to compute two seed-based FC maps, one for each ROI as seed, while controlling for GCOR to further account for sources of noise at group level, creating two seed-based maps per subject where the value in each voxel represents the Fisher’s z-transformed correlation coefficient with the averaged time series of each seed, respectively. Individual Fisher’s z-transformed maps were extracted for the pre- and post-learning resting phase to compute the RSFC as the difference between post- and pre-learning rest. These individual difference maps were submitted to ANCOVA models, specifying the behavioural measures of learning as covariates in separate models to identify voxels showing a significant difference in slopes with respect to the covariate between the groups. \r\n\r\nCOVARIATES: total # items = the total number of items encoded; CDMB = curiosity-driven memory benefit;\r\n\r\nThe output image has 12 volumes: (1) mean difference in arctanh(correlation), (2) Z score of t-statistic for above difference, (3) difference in slope of arctanh(correlation) vs COVARIATE, (4) Z score of t-statistic for above difference, (5) mean of arctanh(correlation) for control group, (6) Z score of t-statistic for above mean, (7) slope of arctanh(correlation) vs COVARIATE for control group, (8) Z score of t-statistic for above slope, (9) mean of arctanh(correlation) for experimental group, (10) Z score of t-statistic for above mean, (11) slope of arctanh(correlation) vs COVARIATE for experimental group, (12) Z score of t-statistic for above slope\r\n",
"add_date": "2022-12-19T12:18:15.595549+01:00",
"modify_date": "2022-12-19T16:05:39.038435+01:00",
"is_valid": true,
"surface_left_file": null,
"surface_right_file": null,
"data_origin": "volume",
"target_template_image": "MNI152NLin2009cAsym",
"subject_species": "homo sapiens",
"figure": "",
"handedness": null,
"age": null,
"gender": null,
"race": null,
"ethnicity": null,
"BMI": null,
"fat_percentage": null,
"waist_hip_ratio": null,
"mean_PDS_score": null,
"tanner_stage": null,
"days_since_menstruation": null,
"hours_since_last_meal": null,
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"spsrq_score": null,
"bis11_score": null,
"thumbnail": null,
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"is_thresholded": false,
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"perc_voxels_outside": 100.0,
"number_of_subjects": 50,
"modality": "fMRI-BOLD",
"statistic_parameters": null,
"smoothness_fwhm": null,
"contrast_definition": "",
"contrast_definition_cogatlas": null,
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},
{
"url": "http://neurovault.org/images/790046/",
"id": 790046,
"file": "http://neurovault.org/media/images/13320/seedFC_VTASN_post__A_c29_zcorr.nii.gz",
"collection": "http://neurovault.org/collections/13320/",
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"cognitive_paradigm_cogatlas": "rest eyes open",
"cognitive_paradigm_cogatlas_id": "trm_4c8a834779883",
"cognitive_contrast_cogatlas": "Subjects rest passively with their eyes open. Often used as a baseline for comparison for other tasks.",
"cognitive_contrast_cogatlas_id": "rest_eyes_open",
"map_type": "other",
"analysis_level": "single-subject",
"name": "post-learning RSFC: VTA/SN seed - A_c29_zcorr",
"description": "For each pre-processed rest time series separately, AFNI’s ‘3dSetupGroupInCorr’ was specified, loading in the respective time series of all subjects into an object to be used as input for ‘3dGroupInCorr’, a program that in turn computes the average time series within the specified input mask (i.e., VTA/SN) to then compute the Pearson correlation between the averaged time course within the input mask and the time course of each voxel in the brain. GCOR was included as a subject-level covariate to further account for nuisance sources. ‘3dGroupInCorr’ does not only calculate seed-based FC at group level but also outputs the individual Fisher's z-transformed results. \r\n\r\nThe output image has 56 volumes: (1) mean correlation whole sample (covariate included), (2) z values mean correlation whole sample (covariate included), (3) effect of gcor variable whole sample, (4) z values effect of gcor variable whole sample, (5) mean correlation whole sample (covariate NOT included), (6) z values mean correlation whole sample (covariate NOT included), (7-56) individual seed-based FC maps.",
"add_date": "2022-12-19T11:29:12.849527+01:00",
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"data_origin": "volume",
"target_template_image": "MNI152NLin2009cAsym",
"subject_species": "homo sapiens",
"figure": "",
"handedness": null,
"age": null,
"gender": null,
"race": null,
"ethnicity": null,
"BMI": null,
"fat_percentage": null,
"waist_hip_ratio": null,
"mean_PDS_score": null,
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"days_since_menstruation": null,
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"spsrq_score": null,
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"modality": "fMRI-BOLD",
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"smoothness_fwhm": null,
"contrast_definition": "",
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}
]
}
