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Healthy aging is associated with structural and functional changes in the brain even in individuals who are free of neurodegenerative diseases. Using resting state functional magnetic resonance imaging data from a carefully selected cohort of participants, we examined cross sectional changes in the functional organization of several large-scale brain networks over the adult lifespan and its potential association with general cognitive performance. Converging results from multiple analyses at the voxel, node, and network levels showed widespread reorganization of functional brain networks with increasing age. Specifically, the primary processing (visual and sensorimotor) and visuospatial (dorsal attention) networks showed diminished network integrity, while the so-called core neurocognitive (executive control, salience, and default mode) and basal ganglia networks exhibited relatively preserved between-network connections. The visuospatial and precuneus networks also showed significantly more widespread increased connectivity with other networks. Graph analysis suggested that this reorganization progressed towards a more integrated network topology. General cognitive performance, assessed by Addenbrooke’s Cognitive Examination-Revised total score, was positively correlated with between-network connectivity among the core neurocognitive and basal ganglia networks and the integrity of the primary processing and visuospatial networks. Mediation analyses further indicated that the observed association between aging and relative decline in cognitive performance could be mediated by changes in relevant functional connectivity measures. Overall, these findings provided further evidence supporting widespread age-related brain network reorganization and its potential association with general cognitive performance during healthy aging.

The aging brain undergoes structural changes even in very healthy individuals. Quantifying these changes could help disentangle pathologic changes from those associated with the normal human aging process. Using longitudinal magnetic resonance imaging (MRI) data from 227 carefully selected healthy human cohort with age ranging from 50 to 80 years old at baseline scan, we quantified age-related volumetric changes in the brain of healthy human older adults. Longitudinally, the rates of tissue loss in total gray matter (GM) and white matter (WM) were 2497.5 and 2579.8 mm3per year, respectively. Across the whole brain, the rates of GM decline varied with regions in the frontal and parietal lobes having faster rates of decline, whereas some regions in the occipital and temporal lobes appeared relatively preserved. In contrast, cross-sectional changes were mainly observed in the temporal-occipital regions. Similar longitudinal atrophic changes were also observed in subcortical regions including thalamus, hippocampus, putamen, and caudate, whereas the pallidum showed an increasing volume with age. Overall, regions maturing late in development (frontal, parietal) are more vulnerable to longitudinal decline, whereas those that fully mature in the early stage (temporal, occipital) are mainly affected by cross-sectional changes in healthy older cohort. This may suggest that, for a successful healthy aging, the former needs to be maximally developed at an earlier age to compensate for the longitudinal decline later in life and the latter to remain relatively preserved even in old age, consistent with both concepts of reserve and brain maintenance.

White matter (WM) fiber bundles change dynamically with age. These changes could be driven by alterations in axonal diameter, axonal density, and myelin content. In this study, we applied a novel fixel‐based analysis (FBA) framework to examine these changes throughout the adult lifespan. Using diffusion‐weighted images from a cohort of 293 healthy volunteers (89 males/204 females) from ages 21 to 86 years old, we performed FBA to analyze age‐related changes in microscopic fiber density (FD) and macroscopic fiber morphology (fiber cross section [FC]). Our results showed significant and widespread age‐related alterations in FD and FC across the whole brain. Interestingly, some fiber bundles such as the anterior thalamic radiation, corpus callosum, and superior longitudinal fasciculus only showed significant negative relationship with age in FD values, but not in FC. On the other hand, some segments of the cerebello‐thalamo‐cortical pathway only showed significant negative relationship with age in FC, but not in FD. Analysis at the tract‐level also showed that major fiber tract groups predominantly distributed in the frontal lobe (cingulum, forceps minor) exhibited greater vulnerability to the aging process than the others. Differences in FC and the combined measure of FD and cross section values observed between sexes were mostly driven by differences in brain sizes although male participants tended to exhibit steeper negative linear relationship with age in FD as compared to female participants. Overall, these findings provide further insights into the structural changes the brain's WM undergoes due to the aging process., In this study, we investigated age‐related changes in white matter fiber density (FD) and morphology (fiber cross section [FC]) across the adult lifespan. Our results showed significant and widespread age‐related alterations in FD and FC across the whole brain. The observed changes were nonuniform across white matter with some fibers exhibiting higher vulnerability than the others.

Objective Severe hyposmia is a risk factor of dementia in Parkinson’s disease (PD), while the underlying functional connectivity (FC) and brain volume alterations in PD patients with severe hyposmia (PD-SH) are unclear. Methods We examined voxel-based morphometric and resting state functional magnetic resonance imaging findings in 15 cognitively normal PD-SH, 15 cognitively normal patients with PD with no/mild hyposmia (PD-N/MH), and 15 healthy controls (HCs). Results Decreased gray matter volume (GMV) was observed in the bilateral cuneus, right associative visual area, precuneus, and some areas in anterior temporal lobes in PD-SH group compared to HCs. Both the PD-SH and PD-N/MH groups showed increased GMV in the bilateral posterior insula and its surrounding regions. A widespread significant decrease in amygdala FC beyond the decreased GMV areas and olfactory cortices were found in the PD-SH group compared with the HCs. Above all, decreased amygdala FC with the inferior parietal lobule, lingual gyrus, and fusiform gyrus was significantly correlated with both reduction of Addenbrooke’s Cognitive Examination-Revised scores and severity of hyposmia in all participants. Canonical resting state networks exhibited decreased FC in the precuneus and left executive control networks but increased FC in the primary and high visual networks of patients with PD compared with HCs. Canonical network FC to other brain regions was enhanced in the executive control, salience, primary visual, and visuospatial networks of the PD-SH. Conclusion PD-SH showed extensive decreased amygdala FC. Particularly, decreased FC between the amygdala and inferior parietal lobule, lingual gyrus, and fusiform gyrus were associated with the severity of hyposmia and cognitive performance. In contrast, relatively preserved canonical networks in combination with increased FC to brain regions outside of canonical networks may be related to compensatory mechanisms, and preservation of brain function.

Cognitive deficits in Parkinson’s disease (PD) are heterogeneous entities, but a relationship between the heterogeneity of cognitive deficits and resting-state network (RSN) changes remains elusive. In this study, we examined five sub-domain scores according to Addenbrooke’s Cognitive Examination-Revised (ACE-R) for the cognitive evaluation and classification of 72 non-demented patients with PD. Twenty-eight patients were classified as PD with normal cognition (PD-NC). The remaining 44 were subdivided into the following 2 groups using a hierarchical cluster analysis: 20 with a predominant decrease in memory (PD with amnestic cognitive deficits: PD-A) and 24 with good memory who exhibited a decrease in other sub-domains (PD with non-amnestic cognitive deficits: PD-NA). We used an independent component analysis of RS-fMRI data to investigate the inter-group differences of RSN. Compared to the controls, the PD-A showed lower FC within the ventral default mode network (vDMN) and the visuospatial network. On the other hand, the PD-NA showed lower FC within the visual networks and the cerebellum–brainstem network. Significant differences in the FC within the vDMN and cerebellum–brainstem network were observed between the PD-A and PD-NA, which provided a good discrimination between PD-A and PD-NA using a support vector machine. Distinct patterns of cognitive deficits correspond to different RSN changes.

This study aims to elucidate age-related intrinsic brain volume changes over the adult lifespan using an unbiased data-driven structural brain parcellation. Anatomical brain images from a cohort of 293 healthy volunteers ranging in age from 21 to 86 years were analyzed using independent component analysis (ICA). ICA-based parcellation identified 192 component images, of which 174 (90.6%) showed a significant negative correlation with age and with some components being more vulnerable to aging effects than others. Seven components demonstrated a convex slope with aging; 3 components had an inverted U-shaped trajectory, and 4 had a U-shaped trajectory. Linear combination of 86 components provided reliable prediction of chronological age with a mean absolute prediction error of approximately 7.2 years. Structural co-variation analysis showed strong interhemispheric, short-distance positive correlations and long-distance, inter-lobar negative correlations. Estimated network measures either exhibited a U- or an inverted U-shaped relationship with age, with the vertex occurring at approximately 45-50 years. Overall, these findings could contribute to our knowledge about healthy brain aging and could help provide a framework to distinguish the normal aging processes from that associated with age-related neurodegenerative diseases.

Objectives To elucidate the phenotypes and pathophysiology of speech and voice disorders in Parkinson9s disease (PD) with subthalamic nucleus deep brain stimulation (STN-DBS). Methods We conducted a cross-sectional study on 76 PD patients treated with bilateral STN-DBS (PD-DBS) and 33 medically treated PD patients (PD-Med). Speech and voice functions, electrode positions, motor function and cognitive function were comprehensively assessed. Moreover, speech and voice functions were compared between the on-stimulation and off-stimulation conditions in 42 PD-DBS patients. Results Speech and voice disorders in PD-DBS patients were significantly worse than those in PD-Med patients. Factor analysis and subsequent cluster analysis classified PD-DBS patients into five clusters: relatively good speech and voice function type, 25%; stuttering type, 24%; breathy voice type, 16%; strained voice type, 18%; and spastic dysarthria type, 17%. STN-DBS ameliorated voice tremor or low volume; however, it deteriorated the overall speech intelligibility in most patients. Breathy voice did not show significant changes and stuttering exhibited slight improvement after stopping stimulation. In contrast, patients with strained voice type or spastic dysarthria type showed a greater improvement after stopping stimulation. Spastic dysarthria type patients showed speech disorders similar to spastic dysarthria, which is associated with bilateral upper motor neuron involvement. Strained voice type and spastic dysarthria type appeared to be related to current diffusion to the corticobulbar fibres. Conclusions Stuttering and breathy voice can be aggravated by STN-DBS, but are mainly due to aging or PD itself. Strained voice and spastic dysarthria are considered corticobulbar side effects.

Speech and voice disorders are one of the most common adverse effects in Parkinson's disease (PD) patients treated with subthalamic nucleus deep brain stimulation (STN-DBS). However, the pathophysiology of voice and laryngeal dysfunction after STN-DBS remains unclear. We assessed 47 PD patients (22 treated with bilateral STN-DBS (PD-DBS) and 25 treated medically (PD-Med); all patients in both groups matched by age, sex, disease duration, and motor and cognitive function) using the objective and subjective voice assessment batteries (GRBAS scale and Voice Handicap Index), and laryngoscopy. Laryngoscopic examinations revealed that PD-DBS patients showed a significantly higher incidence of incomplete glottal closure (77 vs 48 %; p = 0.039), hyperadduction of the false vocal folds (73 vs 44 %; p = 0.047), anteroposterior hypercompression (50 vs 20 %; p = 0.030) and asymmetrical glottal movement (50 vs 16 %; p = 0.002) than PD-Med patients. On- and off-stimulation assessment revealed that STN-DBS could induce or aggravate incomplete glottal closure, hyperadduction of the false vocal folds, anteroposterior hypercompression, and asymmetrical glottal movement. Incomplete glottal closure and hyperadduction of the false vocal folds significantly correlated with breathiness and strained voice, respectively (r = 0.590 and 0.539). We should adjust patients' DBS settings in consideration of voice and laryngeal functions as well as motor function.

Voice and speech disorders are one of the most important issues after subthalamic nucleus deep brain stimulation (STN-DBS) in Parkinson’s disease patients; however, their characteristics remain unclear. We performed a comprehensive voice evaluation including the multi-dimensional voice program for acoustic analysis, the GRBAS scale for perceptual analysis, and the evaluation of the voice handicap index (VHI) for psychosocial analysis. In total, 68 patients who had undergone STN-DBS (37 assessed in the on- and off-stimulation conditions) and 40 who had been treated with medical therapy alone were evaluated. Further, we performed laryngoscopic examinations in 13 STN-DBS and 19 medical-therapy-alone patients. The STN-DBS group, especially females, showed widespread impairment of voice parameters and significantly poorer VHI scores than the medical-therapy-alone group. The degree of voiceless (DUV) and strained voice were the most impaired factors in the STN-DBS group; and DUV significantly improved after stopping stimulation. Furthermore strained voice, breathiness, and asthenia improved after stopping stimulation. Laryngoscopic examination showed that abnormal laryngeal muscle contraction and incomplete glottal closure were more prominent in the STN-DBS group than in the medical-therapy-alone group. We demonstrated that (1) more widespread voice impairment in females, (2) poorer voice-related QOL, (3) worse DUV and strained voice, and (4) abnormal laryngeal muscle contraction were the characteristic voice and laryngeal findings in the STN-DBS group compared with those in the medical-therapy-alone group.

We present a case of a patient with reversible cerebral vasoconstriction syndrome (RCVS) triggered by nicotine patches. A-50-year-old woman had no medical history and no regular medication. She smoked 20 cigarettes a day for 30 years. Six days after using nicotine patches, she had recurrent severe headaches of sudden onset (thunderclap headaches). On examination, the blood pressure was 142/88 mmHg. Her neurological and general examination, laboratory serum investigations, and cerebrospinal fluid examination were normal. Magnetic resonance imaging (MRI) including magnetic resonance angiography (MRA) on admission, day 10 after the first episode showed severe multifocal segmental narrowing of the bilateral posterior cerebral artery (PCA). Cessation of nicotine patches and administration of calcium-channel antagonist amlodipine 5 mg daily ameliorated her headache. Follow-up MRA, 37 days after the first episode, showed improvement of PCA stenosis. We diagnosed her as reversible cerebral vasoconstriction syndrome (RCVS) due to nicotine patches. It is important to recognize nicotine patches as a trigger of RCVS.

With the advent of sophisticated and diversified car navigation systems in recent years, it is becoming increasingly important to construct a precise and detailed map database. Among map data, road-network information is a representation of the connection relations of roads by a graph structure, and is one of the most important kinds of information used in route search and guidance, which is the basic function of car navigation systems. At present, much manpower and time are being spent in the preparation of road-network information, and it is desirable to reduce the labor required by automation using computers. This paper presents a method in which the road network is automatically extracted from map information. First, the road area is extracted from the map image by stochastic relaxation based on the geometrical properties of the road area and the background area. Then, thinning and piecewise-linear approximation are applied to the road area to extract the road-network information, which consists of the graphic structure of nodes and links. In this process, the distortion near junctions produced by thinning is corrected, and the nodes are optimally rearranged so that the road network represents the centers of the roads. Then, precise road-network information is stably extracted. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 86(4): 62–72, 2003; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/ecjb.10144