Distinguishable neural circuit mechanisms associated with the clinical efficacy of rTMS in aMCI patients DOI
Chen Ya, Xinle Hou, Huijuan Zhou

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(7)

Published: July 1, 2024

Abstract Repetitive transcranial magnetic stimulation is used in early-stage Alzheimer’s disease to slow progression, but heterogeneity response results different treatment outcomes. The mechanisms underlying this are unclear. This study resting-state neuroimaging investigate the variability episodic memory improvement from angular gyrus repetitive and tracked neural circuits involved. Thirty-four amnestic mild cognitive impairment patients underwent (4 weeks, 20 Hz, 100% resting motor threshold) were divided into high-response low-response groups based on minimal clinically important differences auditory verbal learning test scores. Baseline pre/post-treatment circuit activities compared. Results indicated that orbital middle frontal orbitofrontal cortex network precuneus default mode had higher local activity group. After treatment, changes remote connectivity within brain regions of cortex, network, visual sensorimotor showed opposite trends related effects. suggests states could serve as imaging markers for early compensation predict aftereffects response.

Language: Английский

Modeling the neurocognitive dynamics of language across the lifespan DOI Creative Commons
Clément Guichet, Sonja Banjac, Sophie Achard

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(5)

Published: March 29, 2024

Abstract Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed between language comprehension and production (LP). Examining resting‐state fMRI neuropsychological data from 628 healthy adults (age 18–88) the CamCAN cohort, we performed state‐of‐the‐art graph theoretical analysis to uncover neural mechanisms underlying this variability. At level, our findings suggest that LP not an isolated function but modulated throughout lifespan by extent of inter‐cognitive synergy semantic domain‐general processes. cerebral show default mode network (DMN) suppression coupled fronto‐parietal (FPN) integration way for brain compensate effects dedifferentiation at minimal cost, efficiently mitigating age‐related in LP. Relatedly, reduced DMN midlife could compromise ability manage cost FPN integration. This may prompt older adopt more cost‐efficient compensatory strategy maintains global homeostasis expense performances. Taken together, propose represents critical neurocognitive juncture signifies onset decline, as gradually lose control over representations. We summarize novel synergistic, economical, nonlinear, emergent, model, integrating connectomic dimensions within complex system perspective.

Language: Английский

Citations

4
Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach DOI Creative Commons

Deborah Früh,

Camilla Mendl-Heinisch,

Nóra Bittner

et al.

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(5)

Published: March 25, 2025

ABSTRACT Compared to nonverbal cognition such as executive or memory functions, language‐related generally appears remain more stable until later in life. Nevertheless, different processes, for example, verbal fluency versus vocabulary knowledge, appear show trajectories across the life span. One potential explanation differences functions may be alterations functional and structural network architecture of large‐scale brain networks. For abilities have been linked communication within between frontoparietal (FPN) default mode (DMN). It, however, remains open whether connectivity these networks informative language performance at individual level Further information this regard highly desirable allow us participate daily activities, are associated with quality life, considered preventive interventional setups foster cognitive health So far, mixed prediction results based on resting‐state (FC) (SC) data reported samples, age groups, machine‐learning (ML) approaches. Therefore, current study set out investigate predictability knowledge DMN, FPN, whole using an ML approach a lifespan sample ( N = 717; range: 18–85) from 1000BRAINS study. Prediction was, thereby, systematically compared (i) [verbal knowledge] [processing speed visual working memory], (ii) modalities [FC SC data], (iii) feature sets [DMN, DMN‐FPN, brain], (iv) samples [total, younger, older aged group]. Results showed that could not reliably predicted FC samples. Thereby, no emerged input modalities, sets, In contrast moderately data, particularly SC, total younger group. Satisfactory currently chosen encountered Current results, hence, emphasized difficult predict domain‐general abilities, Thus, it warranted closely groups.

Language: Английский

Citations

0
The capability to successfully study and to be graduated in students who underwent awake surgical resection for a low-grade glioma DOI
Hugues Duffau

Journal of Neuro-Oncology, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0
Distinguishable neural circuit mechanisms associated with the clinical efficacy of rTMS in aMCI patients DOI
Chen Ya, Xinle Hou, Huijuan Zhou

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(7)

Published: July 1, 2024

Abstract Repetitive transcranial magnetic stimulation is used in early-stage Alzheimer’s disease to slow progression, but heterogeneity response results different treatment outcomes. The mechanisms underlying this are unclear. This study resting-state neuroimaging investigate the variability episodic memory improvement from angular gyrus repetitive and tracked neural circuits involved. Thirty-four amnestic mild cognitive impairment patients underwent (4 weeks, 20 Hz, 100% resting motor threshold) were divided into high-response low-response groups based on minimal clinically important differences auditory verbal learning test scores. Baseline pre/post-treatment circuit activities compared. Results indicated that orbital middle frontal orbitofrontal cortex network precuneus default mode had higher local activity group. After treatment, changes remote connectivity within brain regions of cortex, network, visual sensorimotor showed opposite trends related effects. suggests states could serve as imaging markers for early compensation predict aftereffects response.

Language: Английский

Citations

2