To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Chapter 4 examines magnetic resonance imaging (MRI) as a cornerstone technology for visualizing brain structure with remarkable precision. The chapter traces MRI’s development from Wolfgang Pauli’s discovery of nuclear spin properties through Nobel Prize-winning innovations by Bloch, Purcell, Lauterbur, and Mansfield that enabled spatial encoding of magnetic resonance signals. It explains the physical principles underlying MRI and how powerful magnetic fields align hydrogen atoms in tissue, followed by precisely tuned radiofrequency pulses that excite these atoms, resulting in detectable signals that vary by tissue composition. The text explores technical considerations essential for high-quality image acquisition, including magnetic field strength, head coil design, and pulse sequence parameters that determine tissue contrast in T1, T2, and FLAIR imaging. Considerable attention is given to image processing methods, distortion correction, registration, normalization, segmentation, and smoothing that prepare brain images for meaningful analysis. By assessing MRI’s comparative advantages over other structural imaging modalities, including its non-ionizing radiation profile and superior tissue differentiation, alongside practical considerations of safety protocols and experimental design, the chapter discusses MRI’s foundational role in modern neuroimaging while acknowledging the tradeoffs between spatial resolution, acquisition time, and signal quality that researchers must navigate when designing studies.
Schizophrenia and bipolar disorder share genetic risk factors and one possible illness mechanism is abnormal myelination. T1-weighted magnetic resonance imaging (MRI) tissue intensities are sensitive to myelin content. Therefore, the contrast between grey- and white-matter intensities may reflect myelination along the cortical surface.
Method
MRI images were obtained from patients with schizophrenia (n = 214), bipolar disorder (n = 185), and healthy controls (n = 278) and processed in FreeSurfer. The grey/white-matter contrast was computed at each vertex as the difference between average grey-matter intensity (sampled 0–60% into the cortical ribbon) and average white-matter intensity (sampled 0–1.5 mm into subcortical white matter), normalized by their average. Group differences were tested using linear models covarying for age and sex.
Results
Patients with schizophrenia had increased contrast compared to controls bilaterally in the post- and precentral gyri, the transverse temporal gyri and posterior insulae, and in parieto-occipital regions. In bipolar disorder, increased contrast was primarily localized in the left precentral gyrus. There were no significant differences between schizophrenia and bipolar disorder. Findings of increased contrast remained after adjusting for cortical area, thickness, and gyrification. We found no association with antipsychotic medication dose.
Conclusions
Increased contrast was found in highly myelinated low-level sensory and motor regions in schizophrenia, and to a lesser extent in bipolar disorder. We propose that these findings indicate reduced intracortical myelin. In accordance with the corollary discharge hypothesis, this could cause disinhibition of sensory input, resulting in distorted perceptual processing leading to the characteristic positive symptoms of schizophrenia.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.