FHS MRI Brain Volume Quantification

The FHS MRI protocol has been previously described.¹² (link) Briefly, participants were imaged by a 1.5T MRI (Siemens Medical, Erlangen, Germany) and used a 3-dimensional T1-weighted coronal spoiled gradient-recalled echo sequence. All images were transferred to and processed by the University of California Davis Medical Center without knowledge of clinical information. Segmentation and quantification of total cerebral cranial volume (TCV), total brain volume, frontal lobe (FBV), parietal lobe (PBV), occipital lobe (OBV), temporal lobe (TBV), hippocampus, and lateral ventricle volumes were performed using semi-automated procedures previously described.12 (link), 13 (link), 14 (link) TCV was determined using a convolutional neural network method.¹⁵ Non-linear co-registration of images to the Desikan-Killiany-Tourville atlas¹⁶ (link) enabled calculation of regional gray matter volumes.¹⁷ (link)^,¹⁸ MRI volumes were corrected for head size by calculating the percentage of TCV. Each image set underwent rigorous quality control including assessments of the original acquisition and image processing quality.

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Tao Q., Akhter-Khan S.C., Ang T.F., DeCarli C., Alosco M.L., Mez J., Killiany R., Devine S., Rokach A., Itchapurapu I.S., Zhang X., Lunetta K.L., Steffens D.C., Farrer L.A., Greve D.N., Au R, & Qiu W.Q. (2022). Different loneliness types, cognitive function, and brain structure in midlife: Findings from the Framingham Heart Study. eClinicalMedicine, 53, 101643.

Publication 2022

1.5T MRI

Brain Cranial Echo Frontal lobe Gray matter Head Hippocampus Lateral ventricle Occipital lobe Parietal lobe Rigorous Temporal lobe

Corresponding Organization : University School

Other organizations : King's College London, University of California Davis Medical Center, York University, University of Connecticut, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

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Variable analysis

independent variables

None explicitly mentioned

dependent variables

Total cerebral cranial volume (TCV)
Total brain volume
Frontal lobe volume (FBV)
Parietal lobe volume (PBV)
Occipital lobe volume (OBV)
Temporal lobe volume (TBV)
Hippocampus volume
Lateral ventricle volume
Regional gray matter volumes

control variables

Participants were imaged by a 1.5T MRI (Siemens Medical, Erlangen, Germany)
Used a 3-dimensional T1-weighted coronal spoiled gradient-recalled echo sequence
Images were transferred to and processed by the University of California Davis Medical Center without knowledge of clinical information
Segmentation and quantification were performed using semi-automated procedures previously described
TCV was determined using a convolutional neural network method
Non-linear co-registration of images to the Desikan-Killiany-Tourville atlas enabled calculation of regional gray matter volumes
MRI volumes were corrected for head size by calculating the percentage of TCV
Each image set underwent rigorous quality control including assessments of the original acquisition and image processing quality

positive controls

None explicitly mentioned

negative controls

None explicitly mentioned

Annotations

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