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1.
Brain Topogr ; 33(5): 600-612, 2020 09.
Article in English | MEDLINE | ID: mdl-32761400

ABSTRACT

Posterior cortical atrophy (PCA), considered a visual variant of Alzheimer's disease, has similar pathological characteristics yet shows a selective visual manifestation with relative preservation of other cortical areas, at least at early stages of disease. Using a gamut of imaging methods, we aim to evaluate the global aspect of this relatively local disease and describe the interplay of the involvement of the different brain components. Ten PCA patients and 14 age-matched controls underwent MRI scans. Cortical thickness was examined to identify areas of cortical thinning. Hippocampal volume was assessed using voxel-based morphometry. The integrity of 20 fiber tracts was assessed by Diffusion Tensor Imaging. Regions of difference in global functional connectivity were identified by resting-state fMRI, using multi-variant pattern analysis. Correlations were examined to evaluate the connection between grey matter atrophy, the network changes and the disease load. The patients presented bilateral cortical thinning, primarily in their brains' posterior segments. Impaired segments of white matter integrity were evident only within three fiber tracts in the left hemisphere. Four areas were identified as different in their global connectivity pattern. The visual network-related areas showed reduced connectivity and was correlated to atrophy. Right Broadman area 39 showed in addition increased connectivity to the frontal areas. Global structural and functional imaging pointed to the highly localized nature of PCA. Functional connectivity followed grey matter atrophy in visual regions. White matter involvement seemed less prominent, however damage is directly related to presence of disease and not mediated only by grey matter damage.


Subject(s)
Brain , Diffusion Tensor Imaging , Gray Matter , Atrophy/pathology , Brain/diagnostic imaging , Brain/pathology , Gray Matter/diagnostic imaging , Gray Matter/pathology , Humans , Magnetic Resonance Imaging
2.
Psychoneuroendocrinology ; 100: 85-95, 2019 02.
Article in English | MEDLINE | ID: mdl-30296706

ABSTRACT

Sex differences in the neural processing of emotion are of special interest considering that mood and anxiety disorders predominant in females. However, these sex-related differences were typically studied without considering the hormonal status of female subjects, although emotion processing in the brain was shown to differ between phases of the menstrual cycle. In this functional MRI study, we demonstrated the influence of the menstrual cycle phase on sex differences in brain activity and functional connectivity during negative and positive emotions, using two different paradigms: emotion perception and emotion experience. Twenty naturally cycling healthy women without premenstrual symptoms were scanned twice: during the mid-follicular and late-luteal menstrual phases, and compared to a matched group of twenty healthy men. During negative emotion perception, men showed increased neural activity in the right hippocampal formation relative to women in the mid-follicular phase, and increased activity in the right cerebellum relative to women in the late-luteal phase. During experience of amusement, reduced putamen-ventrolateral prefrontal cortex and putamen-dorsomedial prefrontal cortex functional connectivity were observed for women in the late-luteal phase relative to men and associated with levels of sex hormones. These neural and hormonal findings were complemented by behavioral reports of reduced amusement and increased sadness in late-luteal women. Our results demonstrate menstrual phase-dependent sex differences in emotion perception and experience and may suggest a biological tendency for a deficient experience of pleasure and reward during the late-luteal phase. These findings may further shed light on the underlying pathophysiology of premenstrual dysphoric disorder.


Subject(s)
Emotional Intelligence/physiology , Emotions , Menstrual Cycle/psychology , Sex Characteristics , Adult , Affect/physiology , Brain/diagnostic imaging , Brain/physiology , Case-Control Studies , Cerebral Cortex/physiopathology , Emotions/physiology , Female , Humans , Magnetic Resonance Imaging , Male , Menstrual Cycle/physiology , Nerve Net/diagnostic imaging , Nerve Net/physiology , Premenstrual Dysphoric Disorder/etiology , Premenstrual Dysphoric Disorder/physiopathology , Young Adult
3.
Sci Rep ; 8(1): 16362, 2018 11 05.
Article in English | MEDLINE | ID: mdl-30397245

ABSTRACT

A multivariate measure of directed functional connectivity is used with resting-state fMRI data of 40 healthy subjects to identify directed pathways of signal progression in the human visual system. The method utilizes 4-nodes networks of mutual interacted BOLD signals to obtains their temporal hierarchy and functional connectivity. Patterns of signal progression were defined at frequency windows by appealing to a hierarchy based upon phase differences, and their significance was assessed by permutation testing. Assuming consistent phase relationship between neuronal and fMRI signals and unidirectional coupling, we were able to characterize directed pathways in the visual system. The ventral and dorsal systems were found to have different functional organizations. The dorsal system, particularly of the left hemisphere, had numerous feedforward pathways connecting the striate and extrastriate cortices with non-visual regions. The ventral system had fewer pathways primarily of two types: (1) feedback pathways initiated in the fusiform gyrus that were either confined to the striate and the extrastriate cortices or connected to the temporal cortex, (2) feedforward pathways initiated in V2, excluded the striate cortex, and connected to non-visual regions. The multivariate measure demonstrated higher specificity than bivariate (pairwise) measure. The analysis can be applied to other neuroimaging and electrophysiological data.


Subject(s)
Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Visual Cortex/diagnostic imaging , Visual Cortex/physiology , Adult , Female , Healthy Volunteers , Humans , Male , Multivariate Analysis , Nerve Net/diagnostic imaging , Nerve Net/physiology , Nonlinear Dynamics , Rest , Young Adult
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