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Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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White Matter Functional Dysregulation in Amyotrophic Lateral Sclerosis: Machine Learning-Based Biomarkers and

Haifeng Chen1,2,3,4, Zhiyuan Yang1,2,3,4, Hailan Meng1,2,3,4

  • 1Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Current Neuropharmacology
|July 16, 2026
PubMed
Summary

Amyotrophic lateral sclerosis (ALS) involves distinct white matter (WM) functional changes, identified using MRI and machine learning. These WM biomarkers may aid in diagnosing ALS and monitoring disease progression.

Keywords:
Amyotrophic lateral sclerosisimaging transcriptomicsneuro-transmissionresting-state magnetic resonance imagingwhite matter functional networks

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Biomarkers

Background:

  • Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder primarily affecting motor neurons.
  • The functional pathophysiology of white matter (WM) in ALS remains poorly understood.

Purpose of the Study:

  • To investigate WM functional abnormalities in ALS patients using resting-state functional MRI.
  • To evaluate the diagnostic and prognostic utility of WM functional patterns in ALS.
  • To explore the molecular and genetic underpinnings of WM dysfunction in ALS.

Main Methods:

  • Resting-state functional MRI was employed in 50 ALS patients and 55 healthy controls.
  • Machine learning, including support vector machine (SVM), was used for classification and prediction.
  • Neurotransmitter mapping and imaging transcriptomics were utilized to explore pathophysiological mechanisms.

Main Results:

  • ALS patients showed reduced central WM activity (e.g., corticospinal tracts) and elevated anterior/posterior WM activity.
  • Aberrant topological properties and disrupted functional connectivity were observed in bilateral precentral/postcentral WM networks.
  • An SVM model achieved 75.24% accuracy in classifying ALS and predicted disease progression (r = 0.56, p = 0.001).

Conclusions:

  • Distinct patterns of WM functional dysfunction are present in ALS.
  • These WM alterations are linked to neurotransmitter distribution and gene expression profiles.
  • WM-centric biomarkers offer potential for developing therapeutic monitoring strategies in ALS.