Isobel Timothea French
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Isobel Timothea French has a total of 22 co-authors. Here are the top co-authors by number of shared publications:
- Kuo-Hsuan Chang
Department of Neurology, Chang Gung Memorial Hospital and University School of Medicine, Taoyuan, Taiwan
2 shared publications - Chi-Hung Juan
Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan, REPUBLIC OF CHINA
1 shared publication - Chih-Hong Lee
Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center Chang Gung University College of Medicine Taoyuan Taiwan
1 shared publication - Chiung-Mei Chen
Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, 33378, Taiwan
1 shared publication Chiung‐Mei Chen
Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center Chang Gung University College of Medicine Taoyuan Taiwan
1 shared publicationChi‐Hung Juan
Institute of Cognitive Neuroscience National Central University Taoyuan Taiwan
1 shared publication
Latest Publications
- Open Access
- 10 February 2025
- Published by Elsevier in Neuroimage: Reports
- Vol. 5 (1) , 100241
Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease
- 10 February 2025
- Published by Elsevier in Neuroimage: Reports
- Vol. 5 (1) , 100241
Open AccessAttentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease
- 11 December 2024
- Published by Wiley in Movement Disorders
- Vol. 40 (2) , 266-275
Long‐Range Temporal Correlations in Electroencephalography for Parkinson's Disease Progression
Background: Patients with Parkinson's disease (PD) present progressive deterioration in both motor and non‐motor manifestations. However, the absence of clinical biomarkers for disease progression hinders clinicians from tailoring treatment strategies effectively.Objectives: To identify electroencephalography (EEG) biomarker that can track disease progression in PD.Methods: A total of 116 patients with PD were initially enrolled, whereas 63 completed 2‐year follow‐up evaluation. Fifty‐eight age‐ and sex‐matched healthy individuals were recruited as the control group. All participants underwent EEG and clinical assessments. Long‐range temporal correlations (LRTC) of EEG data were analyzed using the detrended fluctuation analysis.Results: Patients with PD exhibited higher LRTC in left parietal θ oscillations (P = 0.0175) and lower LRTC in centro‐parietal γ oscillations (P = 0.0258) compared to controls. LRTC in parietal γ oscillations inversely correlated with changes in Unified Parkinson's Disease Rating Scale (UPDRS) part III scores over 2 years (Spearman ρ = −0.34, P = 0.0082). Increased LRTC in left parietal θ oscillations were associated with rapid motor progression (P = 0.0107), defined as an annual increase in UPDRS part III score ≥3. In cognitive assessments, LRTC in parieto‐occipital α oscillations exhibited a positive correlation with changes in Mini‐Mental State Examination and Montreal Cognitive Assessment scores over 2 years (Spearman ρ = 0.27–0.38, P = 0.0037–0.0452).Conclusions: LRTC patterns in EEG potentially predict rapid progression of both motor and non‐motor manifestations in PD patients, enhancing clinical assessment and understanding of the disease. © 2024 International Parkinson and Movement Disorder Society.
- 11 December 2024
- Published by Wiley in Movement Disorders
- Vol. 40 (2) , 266-275
Long‐Range Temporal Correlations in Electroencephalography for Parkinson's Disease Progression
Background: Patients with Parkinson's disease (PD) present progressive deterioration in both motor and non‐motor manifestations. However, the absence of clinical biomarkers for disease progression hinders clinicians from tailoring treatment strategies effectively.Objectives: To identify electroencephalography (EEG) biomarker that can track disease progression in PD.Methods: A total of 116 patients with PD were initially enrolled, whereas 63 completed 2‐year follow‐up evaluation. Fifty‐eight age‐ and sex‐matched healthy individuals were recruited as the control group. All participants underwent EEG and clinical assessments. Long‐range temporal correlations (LRTC) of EEG data were analyzed using the detrended fluctuation analysis.Results: Patients with PD exhibited higher LRTC in left parietal θ oscillations (P = 0.0175) and lower LRTC in centro‐parietal γ oscillations (P = 0.0258) compared to controls. LRTC in parietal γ oscillations inversely correlated with changes in Unified Parkinson's Disease Rating Scale (UPDRS) part III scores over 2 years (Spearman ρ = −0.34, P = 0.0082). Increased LRTC in left parietal θ oscillations were associated with rapid motor progression (P = 0.0107), defined as an annual increase in UPDRS part III score ≥3. In cognitive assessments, LRTC in parieto‐occipital α oscillations exhibited a positive correlation with changes in Mini‐Mental State Examination and Montreal Cognitive Assessment scores over 2 years (Spearman ρ = 0.27–0.38, P = 0.0037–0.0452).Conclusions: LRTC patterns in EEG potentially predict rapid progression of both motor and non‐motor manifestations in PD patients, enhancing clinical assessment and understanding of the disease. © 2024 International Parkinson and Movement Disorder Society.
- Open Access
- 26 April 2018
- Published by Frontiers Media SA in Frontiers in Aging Neuroscience
- Vol. 10, 99
A Review of the Pedunculopontine Nucleus in Parkinson's Disease
The pedunculopontine nucleus (PPN) is situated in the upper pons in the dorsolateral portion of the ponto-mesencephalic tegmentum. Its main mass is positioned at the trochlear nucleus level, and is part of the mesenphalic locomotor region (MLR) in the upper brainstem. The human PPN is divided into two subnuclei, the pars compacta (PPNc) and pars dissipatus (PPNd), and constitutes both cholinergic and non-cholinergic neurons with afferent and efferent projections to the cerebral cortex, thalamus, basal ganglia (BG), cerebellum, and spinal cord. The BG controls locomotion and posture via GABAergic output of the substantia nigra pars reticulate (SNr). In PD patients, GABAergic BG output levels are abnormally increased, and gait disturbances are produced via abnormal increases in SNr-induced inhibition of the MLR. Since the PPN is vastly connected with the BG and the brainstem, dysfunction within these systems lead to advanced symptomatic progression in Parkinson's disease (PD), including sleep and cognitive issues. To date, the best treatment is to perform deep brain stimulation (DBS) on PD patients as outcomes have shown positive effects in ameliorating the debilitating symptoms of this disease by treating pathological circuitries within the parkinsonian brain. It is therefore important to address the challenges and develop this procedure to improve the quality of life of PD patients.
- 26 April 2018
- Published by Frontiers Media SA in Frontiers in Aging Neuroscience
- Vol. 10, 99
Open AccessA Review of the Pedunculopontine Nucleus in Parkinson's Disease
The pedunculopontine nucleus (PPN) is situated in the upper pons in the dorsolateral portion of the ponto-mesencephalic tegmentum. Its main mass is positioned at the trochlear nucleus level, and is part of the mesenphalic locomotor region (MLR) in the upper brainstem. The human PPN is divided into two subnuclei, the pars compacta (PPNc) and pars dissipatus (PPNd), and constitutes both cholinergic and non-cholinergic neurons with afferent and efferent projections to the cerebral cortex, thalamus, basal ganglia (BG), cerebellum, and spinal cord. The BG controls locomotion and posture via GABAergic output of the substantia nigra pars reticulate (SNr). In PD patients, GABAergic BG output levels are abnormally increased, and gait disturbances are produced via abnormal increases in SNr-induced inhibition of the MLR. Since the PPN is vastly connected with the BG and the brainstem, dysfunction within these systems lead to advanced symptomatic progression in Parkinson's disease (PD), including sleep and cognitive issues. To date, the best treatment is to perform deep brain stimulation (DBS) on PD patients as outcomes have shown positive effects in ameliorating the debilitating symptoms of this disease by treating pathological circuitries within the parkinsonian brain. It is therefore important to address the challenges and develop this procedure to improve the quality of life of PD patients.