Sulcal morphology changes and their relationship with cortical thickness and gyral white matter volume in mild cognitive impairment and Alzheimer's disease

Im, Kiho; Lee, Jongmin; Seo, Sang Won; Kim, Sun Hyung; Kim, Sun I.; Na, Duk L.

doi:10.1016/j.neuroimage.2008.07.016

Cited by 170 publications

(155 citation statements)

References 65 publications

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“…There is also widening of cortical sulci in the present study as shown in table 6 where the widening is found to start early in life, as early as the 3 rd decade leading to lesser curvature and depth as also observed in previous studies 14 . This change in geometry of cortical folding with aging can lead to cognitive decline and is probably due to loss of grey matter which leads to thinning and widening of the cortical sulci, also causing a secondary widening of the ventricles of the brain 15,16 .…”

Section: Discussionsupporting

confidence: 89%

A Computerised Tomographic assessment of structural changes in the human brain with aging

Meka

Taranikanti

Devarashetty

et al. 2014

Int Jour of Biomed Res

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Section: Discussionsupporting

confidence: 89%

A Computerised Tomographic assessment of structural changes in the human brain with aging

Meka

Taranikanti

Devarashetty

et al. 2014

Int Jour of Biomed Res

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“…The 28% average reduction in cortical thickness of the right hemisphere is remarkable for its magnitude and spatial extent, rivaling the magnitude and extent of cortical morphological abnormalities reported in the most severe neuropsychiatric disorders, including schizophrenia and Alzheimer's diseases (19,20), and is perhaps all the more remarkable given that the thinning is present even in persons who have never suffered from MDD or anxiety disorder but who are biological descendants of a depressed relative. The presence of the findings in individuals with and without a prior lifetime history of depression who were at increased familial risk for MDD suggests that these abnormalities are not simply a consequence of previously having been depressed or having been treated for depression.…”

Section: Discussionmentioning

confidence: 87%

Cortical thinning in persons at increased familial risk for major depression

Peterson

Warner

Bansal

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

247

216

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The brain disturbances that place a person at risk for developing depression are unknown. We imaged the brains of 131 individuals, ages 6 to 54 years, who were biological descendants (children or grandchildren) of individuals identified as having either moderate to severe, recurrent, and functionally debilitating depression or as having no lifetime history of depression. We compared cortical thickness across high-and low-risk groups, detecting large expanses of cortical thinning across the lateral surface of the right cerebral hemisphere in persons at high risk. Thinning correlated with measures of current symptom severity, inattention, and visual memory for social and emotional stimuli. Mediator analyses indicated that cortical thickness mediated the associations of familial risk with inattention, visual memory, and clinical symptoms. These findings suggest that cortical thinning in the right hemisphere produces disturbances in arousal, attention, and memory for social stimuli, which in turn may increase the risk of developing depressive illness. is a highly familial illness (1).It is the leading cause of disability worldwide for persons 15 to 44 years of age (2), and it is associated with increased mortality resulting from cardiovascular disorder (3), poor personal care (4), and suicide (5). Genetic and environmental factors and their interactions are important in its pathogenesis (6), but the abnormalities of brain structure and function that mediate these effects have not yet been identified. Brain-imaging studies have suggested the involvement of the limbic system and related frontal cortices in persons suffering from MDD, although findings from those studies have been inconsistent and have had relatively small effect sizes. Moreover, studies reporting abnormalities in brain structure and function in already-affected individuals have been unable to discern whether those abnormalities represent the causes of depressive illness, the compensatory neural responses that help to promote recovery or the attenuation of symptoms, the epiphenomenal effects of chronic illness or stress, or the effects of prior or ongoing treatment.To address these limitations of prior neurobiological studies of already-affected individuals, we undertook a study of brain structure in individuals who are at high familial risk for developing MDD. These individuals belonged to a 3-generation cohort in which the first 2 generations have been followed for more than 20 years. The first generation (G1) comprised 2 groups of adults: 1 group that was clinically ascertained during treatment of moderate to severe, recurrent, and functionally debilitating MDD; and a control group composed of a sample of matched adults, ascertained from the same community, who had no discernible lifetime history of depression. The second generation (G2) comprised the biological offspring of the first generation, and the third generation (G3) comprised the offspring of the second generation. Longitudinal assessments in this sample (7) and in similar 2-generation stu...

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“…Briefly, the MRI data were first normalized to a standard anatomical template (Talairach and Tournoux, 1988) and corrected for bias-field inhomogeneities. Then, the resulting images were skull stripped using a watershed algorithm (Ségonne et al, 2004) and subsequently segmented into the subcortical white matter and deep GM volumetric structures (Fischl et al, 2002(Fischl et al, , 2004b. The initial tessellation was formed by reconstructing the GM/white matter boundary (white surface) and the outer cortical surface (pial surface; Dale et al, 1999;Fischl et al, 2000).…”

Section: Methodsmentioning

confidence: 99%

“…Amnestic MCI (aMCI) refers to one MCI subtype characterized by primary memory deficits and has a high risk of progression to AD (Petersen et al, 2001a, b). Previous MRI studies have reported that aMCI subjects have gray matter (GM) atrophy or volume decline in the entorhinal cortex, the posterior cingulate, and the medial prefrontal cortex (Apostolova et al, 2007;Seo et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Abnormal Changes of Multidimensional Surface Features Using Multivariate Pattern Classification in Amnestic Mild Cognitive Impairment Patients

Yuan

et al. 2014

Journal of Neuroscience

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Previous studies have suggested that amnestic mild cognitive impairment (aMCI) is associated with changes in cortical morphological features, such as cortical thickness, sulcal depth, surface area, gray matter volume, metric distortion, and mean curvature. These features have been proven to have specific neuropathological and genetic underpinnings. However, most studies primarily focused on massunivariate methods, and cortical features were generally explored in isolation. Here, we used a multivariate method to characterize the complex and subtle structural changing pattern of cortical anatomy in 24 aMCI human participants and 26 normal human controls. Six cortical features were extracted for each participant, and the spatial patterns of brain abnormities in aMCI were identified by high classification weights using a support vector machine method. The classification accuracy in discriminating the two groups was 76% in the left hemisphere and 80% in the right hemisphere when all six cortical features were used. Regions showing high weights were subtle, spatially complex, and predominately located in the left medial temporal lobe and the supramarginal and right inferior parietal lobes. In addition, we also found that the six morphological features had different contributions in discriminating the two groups even for the same region. Our results indicated that the neuroanatomical patterns that discriminated individuals with aMCI from controls were truly multidimensional and had different effects on the morphological features. Furthermore, the regions identified by our method could potentially be useful for clinical diagnosis.

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Sulcal morphology changes and their relationship with cortical thickness and gyral white matter volume in mild cognitive impairment and Alzheimer's disease

Cited by 170 publications

References 65 publications

A Computerised Tomographic assessment of structural changes in the human brain with aging

A Computerised Tomographic assessment of structural changes in the human brain with aging

Cortical thinning in persons at increased familial risk for major depression

Abnormal Changes of Multidimensional Surface Features Using Multivariate Pattern Classification in Amnestic Mild Cognitive Impairment Patients

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