Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease - Scorecard - MDSpire

Login

Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease

By
Mesbah Alam
Arif Abdulbaki
Adrian Armstrong
Kerstin Schwabe
Joachim K. Krauss
May 20, 2026
0 min

Frontiers In Neurology

Share

Clinical Scorecard: Analysis of Fractal Dimension Patterns and Machine Learning Approaches for Classifying Altered Motor Cortical Oscillatory Activity in Rodent Models of Parkinson's Disease

At a Glance

Category	Detail
Condition
Key Mechanisms	Altered motor cortical oscillatory activity and beta frequency band synchronization linked to motor symptoms.
Target Population
Care Setting

Key Highlights

additional_info

Guideline-Based Recommendations

Diagnosis

Management

Monitoring & Follow-up

I
n
c
l
u
d
e
s
p
e
c
i
f
i
c
m
e
t
r
i
c
s
f
o
r
a
s
s
e
s
s
i
n
g
t
r
e
a
t
m
e
n
t
e
f
f
i
c
a
c
y
,
s
u
c
h
a
s
f
r
e
q
u
e
n
c
y
a
n
d
a
m
p
l
i
t
u
d
e
o
f
b
e
t
a
-
b
a
n
d
a
c
t
i
v
i
t
y
.

Risks

Patient & Prescribing Data

Specify that findings are based on rodent models and may not directly translate to human treatment.

Clinical Best Practices

additional_practices

Related Resources & Content

Original Source(s)

Frontiers In Neurology

Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease

by Mesbah Alam, Arif Abdulbaki, Adrian Armstrong, Kerstin Schwabe, Joachim K. Krauss
May 20, 2026

Related Content

Frontiers In Immunology

Synthetic Microbial Communities: a novel Emerging Models for Dissecting Gut microbiota-Host Interactions in Neurodegenerative Diseases

by Feng, Pengya , Zhang, Wenqiang , Zhao, Yonghong , Zhao, Pengju , Li, Enyao
May 6, 2026

Frontiers In Immunology

Editorial: Unraveling protein misfolding and innate immunity in neurodegenerative diseases

by Qianqian Fang, Yinghui Hong, Biyue Zhu
May 28, 2026

Frontiers In Neurology

Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease

Clinical Scorecard: Analysis of Fractal Dimension Patterns and Machine Learning Approaches for Classifying Altered Motor Cortical Oscillatory Activity in Rodent Models of Parkinson's Disease

At a Glance

Key Highlights

Guideline-Based Recommendations

Diagnosis

Management

Monitoring & Follow-up

Risks

Patient & Prescribing Data

Clinical Best Practices

Related Resources & Content

Original Source(s)

Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease

Related Content

Synthetic Microbial Communities: a novel Emerging Models for Dissecting Gut microbiota-Host Interactions in Neurodegenerative Diseases

Editorial: Unraveling protein misfolding and innate immunity in neurodegenerative diseases

Anti-diabetic medications to fight Parkinson's disease and dementia with Lewy bodies: a pilot study