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Indian Journal of Nuclear Medicine : IJNM : The Official Journal of the Society of Nuclear Medicine, India logoLink to Indian Journal of Nuclear Medicine : IJNM : The Official Journal of the Society of Nuclear Medicine, India
. 2025 Oct 31;40(5):290–295. doi: 10.4103/ijnm.ijnm_60_25

Comparison of FDOPA and FDG PET in Parkinson’s Disease Patients with and without Freezing of Gait

Karthik Harisankar 1, Sahil Mehta 1,✉, Rajender Kumar 1, Manju Mohanty 2, Jagdeep Singh 1, Shivangi Mehta 3, Shubh Mohan Singh 4, Kamalesh Chakravarty 1, Neeraj Balaini 1, Vivek Lal 1
PMCID: PMC12633811  PMID: 41281174

Abstract

Purpose of the Study:

This study compared striatal dopamine metabolism and cerebral glucose metabolism in Parkinson’s disease patients with and without freezing of gait (FOG) using Fluorodeoxyglucose positron emission tomography (FDG-PET) and F-DOPA PET. We also compared the two groups’ cognitive, affective, and autonomic functions.

Methods:

Patients were divided into two groups: those with and without FOG. All patients underwent neuropsychological evaluation. Subsequently, both groups underwent FDG-PET and FDOPA-PET. The FDOPA PET/computed tomography images evaluated dopaminergic expression in the basal ganglia. Cortex-ID-based processing of FDG images was visually analyzed for any abnormal hypermetabolism or hypometabolism in the various regions of the brain.

Results:

A total of 30 patients were recruited, 15 in each group. The mean age of participants was 59.33 ± 9.12 years in the freezing of the gait-negative group and 61.13 ± 9.38 years in the freezing of the gait-positive group. FDOPA PET scan analysis revealed symmetrical loss of basal ganglia uptake in the freezers compared to the nonfreezers, which had more asymmetrically reduced uptake (P = 0.025). In FDG PET, a general trend of greater metabolic reduction in the basal ganglia was observed in freezers. Our study showed bilateral involvement of frontoparietal cortices in both freezers and nonfreezers, with more widespread areas of hypometabolism reported in the freezer group.

Conclusion:

Freezers exhibited a more symmetrical loss of dopaminergic uptake on FDOPA PET, whereas nonfreezers showed greater asymmetry. In addition, FDG PET revealed a trend toward greater basal ganglia hypometabolism in freezers, suggesting a more profound striatal dysfunction in patients with freezing of gait.

Keywords: Fludeoxyglucose positron emission tomography, FDOPA-positron emission tomography, freezing, Parkinson’s disease

Introduction

Freezing of gait (FOG) is defined as “brief, episodic absence or marked reduction of forward progression of the feet despite the intention to walk.”[1] It considerably impacts a patient’s quality of life, as it can lead to falls and loss of self-independence.[2] FOG is likely caused by the complex interplay between motor, sensory, cognitive, and affective factors instead of being a pure motor problem.[3] Abnormalities in various cognitive domains are commonly seen in patients with freezing of gait.[4] Executive dysfunction, attention deficits, visuospatial dysfunction, and even involvement of the autonomic nervous system have all been documented in patients with FOG.[5,6]

Neurometabolic studies using fludeoxyglucose positron emission tomography (FDG-PET) have demonstrated changes in the frontal and parietal cortical areas in Parkinson’s disease patients with FOG.[7,8] There is a lot of discrepancy across multiple studies, so a precise anatomical correlate for FOG is still unclear.[9,10]

Our study compared Parkinson’s disease patients with and without freezing of gait by studying the correlation between FOG and brain changes using FDG-PET and F-DOPA PET imaging. We also compared the cognitive, affective and autonomic functions of the two groups.

Methods

Patients were recruited at the Postgraduate Institute of Medical Education and Research, Chandigarh, from July 2021 to December 2022 in this prospective observational study after approval from the Institute’s ethics committee (INT/IEC/2022/SPL-16) and with informed consent from all the participants.

Inclusion criteria

  • Patients with Parkinson’s disease diagnosed according to the UK Brain Bank criteria[11]

  • Hoehn and Yahr stage ≤4 in off-state

  • Stable and optimized antiParkinsonian medication at least 4 weeks before enrolment into the study.

Exclusion criteria

  • Clinically significant comorbidities including stroke, traumatic brain injury, hydrocephalus, intracranial space-occupying lesion, and other significant orthopedic, or rheumatologic disease

  • Major depression (DSM-IV)

  • Atypical Parkinsonism

  • Not willing for PET-computed tomography (CT)

  • History of deep-brain stimulation in the past.

Participants were divided into two groups (with and without FOG) based on their score on FOG Questionnaire item 3 (“Do you feel that your feet get glued to the floor while walking, making a turn, or when trying to initiate walking [freezing]?”) ≥1 or by demonstration of freezing of gait on neurological assessment.[12]

Participants in both groups underwent 18F-DOPA and 18F-FDG PET/CT on separate days. For FDG-PET/CT, patients were instructed to undergo 4 h of fasting before the study. A blood sugar value of <150 mg was targeted. FDG was injected intravenously at a dose of 111–185 MBq (3–5 mCi), and the scan was acquired after a waiting period of 45 min using a dedicated PET/CT scanner (Discovery MIDR, GE Healthcare Systems, Chicago, USA). The patient was positioned supine with the head immobilized using restraints to prevent movement during the study. The acquisition included an initial CT acquisition of the head region with a voltage of 120 kV and tube current of 250 mA, helical CT without intravenous contrast. This was followed by a static PET acquisition of a single field of view encompassing the head region with an acquisition time of 6–7 min. The PET image was reconstructed using iterative reconstruction, OSEM, with a matrix size of 256 × 256.

For FDOPA–PET/CT, the patient was instructed to stop taking the tablet levodopa/carbidopa 2 days before the scan. The patient positioning and the injected dose were similar to those for FDG PET/CT, with a duration of the PET emission scan of ten minutes. No fasting was necessary, and a low-dose CT with 40 mA tube current was acquired (for attenuation correction and anatomic localisation only) to reduce the patient’s radiation exposure.

All patients underwent a thorough history and clinical examination, including calculation of levodopa equivalent dose, Hoer and Yahn (H and Y) stage and Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS UPDRS) with levodopa challenge test. Levodopa-responsive FOG was defined as a zero score for FOG in UPDRS 3.11 (which specifically assesses freezing of gait) after the levodopa challenge. Blood pressure was measured in the supine position, followed by 1 min, 3 min, and 5 min after standing to look for orthostatic fall. The tremor-dominant (TD) versus postural instability gait difficulty (PIGD) phenotype was found from the MDS-UPDRS score using the criteria mentioned previously.[13] Nonmotor symptoms (NMSs) were evaluated using the NMSs questionnaire.

The following tests were done for neuropsychological evaluation. The cognitive assessment was done in the ON state in all participants.

  • Handedness questionnaire

  • Montreal Cognitive Assessment (MoCA)

  • Frontal Assessment Battery

  • Addenbrooke’s Cognitive Examination

  • Patient Health Questionnaire (PHQ-9) for depression

  • Generalized Anxiety Disorder (GAD-7) scale for anxiety.

Autonomic functions were analyzed by calculating the autonomic function subscore from MDS-UPDRS.

Analysis of PET data

PET/CT images were evaluated by a qualified nuclear medicine physician in coronal, axial, and transaxial sections and in the reformatted coronal and sagittal sections. The raw PET, CT, and fused PET/CT images were evaluated in the reporting console (GE Advantage Workstation). In addition, the FDG PET/CT images were processed using vendor-provided software for brain imaging (CORTEX-ID, GE Health care). Visual analysis was done to assess for any focal hypo- or hypermetabolism in the various regions of the brain on the PET and fused PET/CT images, and the findings were correlated with the corresponding anatomical findings on the CT images. Dopaminergic expression in the basal ganglia was evaluated on the DOPA PET/CT images. The scans were analyzed visually. The FDOPA uptake in the bilateral caudate nucleus and putamen was compared for any asymmetrical uptake in relation to the side of dominant clinical symptoms. In addition, the severity of dopaminergic loss was categorized into mild, moderate, or severe based on uptake reduction in the caudate and putamen (Mild: reduced tracer uptake in the posterior most part of the putamen; Moderate: reduced tracer uptake in the entire putamen; and Severe: reduced tracer uptake in the caudate and putamen).

Images were analyzed visually on the Cortex-ID suite for any abnormal hypermetabolism or hypometabolism in the various brain regions with respect to a reference region of the brain (pons). The software also provided any abnormal hypo/hypermetabolism of the different brain areas by comparing it to the age-matched normal database, and the increase or decrease was recorded in standard deviations from the normal population. SUV max in these areas was calculated and divided by the background average SUV max to get the SUV max/average ratio for both caudate and putamen. For FDG PET, the background was the pons; for FDOPA PET, the background was the occipital lobe.

Statistical analysis

Data were entered into an Microsoft Excel spreadsheet program, and SPSS v23 (IBM, NY, USA Corp.) was used for data analysis. Mean/standard deviation was used for descriptive statistics, and median/ interquartile range for continuous variables. Frequencies and percentages were used for categorical variables. An independent sample t-test was used for continuously distributed data when comparing two groups. Nonparametric tests such as the Wilcoxon test or Mann–Whitney were used to compare nonnormally distributed data. The Chi-square test or Fisher‘s exact test was used for group comparisons of categorical data. Linear correlation between two continuous variables was explored using Pearson’s correlation (for normally distributed data) and Spearman’s correlation (for non-normally distributed data). P < 0.05 was considered statistically significant.

Results

Thirty-six patients were screened. Thirty patients were included in the final analysis, with 15 in each group, as six refused to undergo PET scanning. Baseline characteristics are mentioned in Table 1. The mean age of participants was 59.33 ± 9.12 in the FOG group and 61.13 ± 9.38 in the FOG + group. In the FOG group, 5 (33.3%) patients had left-sided disease onset, and 10 (66.7%) had right-sided onset. In the FOG + group, 4 (26%) patients had left-sided onset, and 11 (73.3%) had right-sided disease onset. Out of the 30 patients enrolled, 13 (43.3%) had the PIGD phenotype, and 14 (46.7%) had the TD phenotype, with 3 (10%) patients in the indeterminate group. The mean FOG-Q score in the FOG + group was 13.33 ± 3.94. Eighty percent of patients in the FOG + group had levodopa-responsive freezing of gait. Freezing of gait was more common in those with the PIGD phenotype.

Table 1.

Baseline characteristics

Parameter FOG + (n=15), mean±SD/frequency (%) FOG − (n=15), mean±SD/frequency (%) P
Age (years) 59.33±9.12 61.13±9.38 0.598
Male 13 (86.7) 13 (86.7) 1.000
Female 2 (13.3) 2 (13.3)
Duration of disease (years) 3.93±3.78 7.10±5.64 0.082
Hoer and Yahn score 2.63±0.39 2.06±0.45 0.001
Hoer and Yahn 1 (n) 0 1
Hoer and Yahn 2 (n) 3 12
Hoer and Yahn 2.5 (n) 5 0
Hoer and Yahn 3 (n) 7 2
Right handed 14 (93.3) 15 (100) 1.000
Left handed 1 (6.7) 0
LED 888.60±257.96 506.80±237.50 0.001
PIGD 12 1 0.0001
Indeterminate 1 2
TD 2 12
Diabetes 3 (20.0) 2 (13.3) 1.000
Hypertension 4 (26.7) 1 (6.7) 0.330
UPDRS (off) 49.80±9.73 43.13±15.33 0.166
UPDRS (on) 20.93±9.33 22.60±16.04 0.731
NMS 30.53±26.74 26.60±19.83 0.651

FOG: Freezing of gait, LED: Levodopa equivalent dose, PIGD: Postural instability and gait dysfunction, TD: Tremor dominant, UPDRS: Unified Parkinson’s Disease Rating Scale, NMS: Nonmotor symptoms, SD: Standard deviation

Cognitive, affective, and autonomic assessment

The mean MMSE score was 27.4 ± 1.84 in the FOG group and 27.7 ± 1.87 in the FOG + group. The mean MOCA score in the FOG group was 23.47 ± 2.99, and the FOG + group was 23.40 ± 3.13. The mean frontal assessment battery score was 13.87 ± 1.92 in the FOG – group and 13.40 ± 2.66 in the FOG + group (P = 0.587). The mean ACE-3 score was 83.60 ± 9.07 in the FOG group and 81.53 ± 8.19 in the FOG + group. Autonomic subscore derived from the UPDRS showed a mean score of 4.67 (3.35) in freezers versus 3.53 (1.99) in nonfreezers (P = 0.270). The mean PHQ-9 score was 5.33 (4.28) in the FOG – group and 6.67 (6.51) in the FOG + group (P = 0.513). The mean GAD-7 score was 5.13 (5.43) in the FOG group and 4.73 (3.93) (P: =0.819) in the FOG + group [Supplementary Tables 1 and 2].

Supplementary Table 1.

The results of the cognitive assessment

Test FOG − FOG + P
MMSE 27.47±1.84 27.73±1.87 0.697
MOCA 23.47±2.99 23.40±3.13 0.953
FAB 13.87±1.92 13.40±2.66 0.587
ACE total score 83.60±9.07 81.53±8.19 0.518
Attention 16.73 (1.75) 16.53 (1.68) 0.752
Memory 20.13±3.62 19.80±3.59 0.802
Fluency 8.4 (2.23) 8.07 (2.40) 0.697
Language 24.93 (1.10) 24.87 (1.55) 0.893
Visuospatial 13.40 (1.99) 12.27 (2.01) 0.133

FOG: Freezing of gait, MMSE: Mini–mental status examination, MOCA: Montreal cognitive assessment, ACE: Addenbrooke’s cognitive examination, FAB: Frontal assessment battery

Supplementary Table 2.

The results of the autonomic tests

Autonomic parameters FOG groups
P
Negative (n=15), mean±SD/frequency (%) Positive (n=15), mean±SD/frequency (%)
Pulse rate 82.87±7.21 77.33±14.18 0.189
Significant postural fall 2 (13.3) 1 (6.7) 1.000
Autonomic sub score 3.53±1.99 4.67±3.35 0.270

FOG: Freezing of gait, SD: Standard deviation

FDOPA PET scan

FDOPA PET showed symmetrically reduced uptake in 9 out of 15 patients with freezing of gait (60%) and 3 out of 15 patients without freezing of gait (20%). The P value was significant (0.025), implying symmetrical reduction of dopaminergic uptake in freezers compared to nonfreezers [Table 2].

Table 2.

FDOPA-PET scan findings in the patients studied

SITE FOG − FOG + P
B/L symmetrical reduction 3 (20) 9 (60) 0.025
Asymmetrical reduction 12 (80.0) 6 (40.0)

FOG: Freezing of gait, FDOPA-PET: Fluorodopa F-18 Positron Emission Tomography

Dopaminergic expression was analyzed separately in the caudate and putamen to assess the severity of reduction, categorizing it as either mild-to-moderate or severe. A greater proportion of patients with freezing of gait (FOG+) exhibited severe dopaminergic loss compared to nonfreezers (FOG−). However, it did not reach statistical significance [Table 3].

Table 3.

FDOPA-PET scan findings in the patients studied showing the degree of dopaminergic dysfunction

Site Parameter Fog group
P
FOG − FOG +
Left caudate Mild/moderate 4 1 0.065
Severe 6 11
Right caudate Mild/moderate 10 5 0.068
Severe 5 10
Left putamen Mild/moderate 5 3 0.682
Severe 10 12
Right putamen Mild/moderate 5 0 0.042
Severe 10 15

FOG: Freezing of gait, FDOPA-PET: Fluorodopa F-18 Positron Emission Tomography

FDG-PET scan

The two groups had no significant difference regarding hypometabolism in the cortical areas or the basal ganglia. However, the SUV ratio was decreased in the left putamen in freezers compared to nonfreezers [Table 4 and Supplementary Tables 3-5].

Table 4.

Basal ganglia metabolic differences in freezing of gait + and freezing of gait − groups based on FDG - PET analysis

Parameter FOG group
P
FOG − FOG +
SUV max/BG right caudate 1.95±0.39 1.85±0.27 0.449
SUV max/BG left caudate 2.01±0.48 1.90±0.30 0.437
SUV max/BG right putamen 2.25±0.40 2.11±0.28 0.290
SUV max/BG left putamen 2.26±0.42 2.00±0.25 0.050

FOG: Freezing of gait, BG: Background, SUV: Standardized uptake value

Supplementary Table 3.

FDG-PET analysis in freezing of gait group

Patient number FDG-PET finding
1 Normal
2 Normal
3 Normal
4 Normal
5 Normal
6 Hypometabolism in bilateral frontal, parietal, lateral temporal, lateral occipital and precuneus; Asymmetric L>R
7 Hypometabolism in bilateral frontal, temporal, parietal cortex
8 Hypometabolism in bilateral frontal, parietal and temporal cortex
9 Hypometabolism in bilateral parietal, temporal and occipital cortices with hypermetabolism in bilateral basal ganglia
10 Hypometabolism in bilateral lateral prefrontal, lateral temporal and inferior parietal cortex
11 Hypometabolism in bilateral parieto-temporo-occipital cortices
12 Normal
13 Hypometabolism left putamen and cerebellum
14 Normal
15 Normal

FDG-PET: Fluorodeoxyglucose positron emission tomography

Supplementary Table 5.

FDG-PET comparison of z-scores between various brain regions

Parameters FOG groups
P
Negative (n=15), mean±SD Positive (n=15), mean±SD
Parietal association R 1.41±0.82 1.25±0.79 0.600
Parietal association L 1.44±0.92 1.43±0.82 0.969
Temporal association R 1.08±0.76 0.92±0.62 0.542
Temporal association L 1.23±0.80 0.98±0.63 0.352
Frontal association R 1.01±0.83 1.05±0.74 0.893
Frontal association L 1.07±0.75 1.15±0.78 0.776
Occipital A-R 0.58±0.82 0.34±1.01 0.481
Occipital A-L 0.65±0.90 0.51±1.23 0.729
Posterior cingulate-R 0.74±0.66 0.74±0.68 0.981
Posterior cingulate-L 0.81±0.61 0.84±0.67 0.911
Anterior cingulate -R 0.84±0.71 0.68±0.54 0.481
A C -L 0.74±0.73 0.62±0.60 0.649
Medial frontal -R 0.62±0.94 0.71±0.62 0.770
Medial frontal-L 0.68±0.84 0.85±0.62 0.539
Medial parietal -R 1.00±1.04 0.96±0.87 0.930
Medial parietal -L 1.13±1.04 1.04±0.83 0.807
Sensori motor -R 0.82±0.80 0.73±0.76 0.756
Sensori motor -L 0.61±0.91 0.67±0.92 0.869
Visual -R 0.13±1.38 0.14±1.05 0.987
Visual -L 0.21±1.21 0.10±1.14 0.799
Caudate -R 1.42±0.84 1.27±0.74 0.613
Caudate -L 1.41±1.15 1.29±0.76 0.756
Cerebellum -R 0.13±0.26 0.05±0.45 0.573
Cerebellum -L 0.08±0.34 −0.06±0.33 0.217
Vermis- R 0.04±0.55 0.07±0.69 0.609
Vermis -L 0.05±0.65 0.03±0.74 0.747
Pons -R 0.02±0.53 −0.22±0.69 0.392
Average association -R 1.09±0.78 1.04±0.67 0.849
Average association-L 1.17±0.75 1.13±0.69 0.887
Average cerebral 0.87±0.73 0.83±0.61 0.855
Global average 0.72±0.65 0.67±0.52 0.814

FOG: Freezing of gait, FDG-PET: Fluorodeoxyglucose positron emission tomography

Supplementary Table 4.

FDG-PET analysis in freezing of gait + group

Patient number FDG-PET findings
16 Bilateral superior parietal hypometabolism
17 Normal
18 Normal
19 Normal
20 Bilateral frontal, parietal lateral temporal, lateral occipital cortices and precuneus
21 Normal study
22 Normal study
23 Hypometabolism in bilateral parietotemporal cortices
24 Normal
25 Normal
26 Bilateral frontal and parietal cortex hypometabolism
27 Normal
28 Hypometabolism in bilateral frontal, prefrontal, anterior cingulate, inferior parietal, lateral temporal cortex and cerebellum
29 Hypometabolism in bilateral caudate and putamen left > right
30 Hypometabolism in bilateral frontal, parietal and lateral temporal cortices

FDG-PET: Fluorodeoxyglucose positron emission tomography

Figures 1 and 2 demonstrate two examples of FDOPA PET and FDG PET findings in a freezer and a nonfreezer.

Figure 1.

Figure 1

Fludeoxyglucose positron emission tomography (FDG PET) and FDOPA PET in a 36-year-old female with a duration of Parkinson’s disease for 3 years with rigidity and bradykinesia (right > left) and no freezing of gait. (a) (CORTEX ID images) and (b and c) (Fused axial FDG PET/computed tomography [CT] images) reveal no abnormal hyper- or hypometabolism in the brain. (d and e), FDOPA PET/CT (Fused axial PET/CT images), reveal severe presynaptic dopaminergic dysfunction in the bilateral striatum (left > right)

Figure 2.

Figure 2

Fludeoxyglucose positron emission tomography (FDG PET) and FDOPA PET in a 59-year-old male with Parkinson’s disease of 13-year duration and symptoms of tremors, bradykinesia and rigidity (Left > right) and off-period gait freezing. (a) (CORTEX ID) and (b and c) (Fused axial FDG PET/computed tomography [CT] images) reveal mild hypometabolism in the bilateral temporal, parietal and prefrontal cortices. (d and e) (Fused axial FDOPA PET/CT images) reveal severe presynaptic dopaminergic dysfunction in the bilateral striatum (right > left)

Discussion

We found that FOG-positive patients had higher H and Y scores, higher mean UPDRS-III scores and LED requirements than the FOG group. Eighty percent of freezers had levodopa-responsive freezing. Freezing of gait is more common in advanced stages of the disease, with an incidence ranging from 10% in H and Y1 to 40% in H and Y4.[14] Higher LED use is an independent risk factor for the development of FOG.[15] Freezing of gait was more common in the akinetic-rigid phenotype than in the tremor-predominant phenotype in our study, as shown in previous studies.[16,17] A more profound reduction of striatal dopamine levels in the akinetic-rigid phenotype affects the cortico-striatal networks and induces freezing behavior.

FDOPA PET scan analysis showed that freezers had a symmetrical loss of basal ganglia uptake compared to the nonfreezers, who had asymmetrical reduction. Bartels et al. also found similar results.[7] Furthermore, it was noted that freezers had a severe decrease in F-DOPA uptake. This was significant in the right and left caudate and the right putamen. Bartels et al. also found a significant reduction of FDOPA and FDG uptake in the caudate in freezers compared to nonfreezers, indicating increased striatal damage.[7] Our findings suggest that the freezing phenomenon results from a more severe dopaminergic dysfunction, which is reflected clinically also as it is more common in advanced disease and with higher Hoehn and Yahr stage, with a higher requirement of levodopa equivalent dose.

The FDG PET scan analysis revealed hypometabolism in the frontal and parietal regions in both freezers and nonfreezers. Although not statistically significant, a few additional areas of hypometabolism were noted in the FOG + group. Moreover, freezers exhibited a greater metabolic reduction in the basal ganglia, especially the left putamen, indicating impaired neuron function in the pathways that control gait initiation and execution.

Previous studies have also shown heterogeneous results involving multiple cortical and subcortical structures, i.e., frontoparietal regions, temporo-occipital cortex, brainstem, cerebellum, basal ganglia, thalamus, and limbic system. Most studies have pointed to lower perfusion or metabolism in the frontoparietal areas in PD with gait freezing.[10] Bartels et al. demonstrated reduced FDG uptake in the parietal regions bilaterally, with maximal involvement in right anteroinferior and posterior parietal regions.[7] Matsui et al. compared perfusion using three-dimensional stereotactic surface projections analysis of 123I SPECT in 24 PD patients with FOG with 34 PD patients without FOG.[18] The authors found decreased perfusion in bilateral Brodmann area 11 (orbitofrontal cortex). Similarly, Imamura et al. also found reduced cerebral perfusion in bilateral BA 10.11 and right BA 32 with maintenance and preventing further decline in cerebral blood flow in the selegiline group at 1-year follow-up.[19]

We found no significant difference between the two groups regarding cognitive, affective, and autonomic assessments. Freezing of gait has been associated with worse cognitive impairment on neuropsychological testing in Parkinson’s disease, contrary to our results.[20,21] One of the reasons for the lack of difference in the FOG + and FOG groups in terms of cognitive functions might be that the evaluation was done in the on state. Most patients in our study had levodopa-responsive freezing, which could have affected the cognitive examination. Dopamine has a complex effect on cognition.[22] On the one hand, it improves several cognitive processes, but overloading the dopaminergic system may also reduce cognitive performance for other cognitive processes.[23] However, the cognitive impairment may also be an independent process from the cognitive dysfunction. The mechanism of freezing of gait may rest in the basal ganglia and its connections, and in the subcortex rather than being a cortical phenomenon. However, this may need further exploration. Neuroimaging studies have found that the involvement of the parietal lobe rather than the frontal lobe is more specific for FOG.[24] Functional MRI and diffusion tensor imaging have shown altered functional connectivity between the pedunculopontine nucleus, corticopontine-cerebellar pathways and visual temporal areas.[25,26]

Besides the small sample size and lack of randomization, our study has significant limitations. It was a cross-sectional study, and follow-up assessments were not performed. More importantly, most patients in the FOG group had levodopa-responsive freezing, which does not represent the true picture, and the findings cannot be generalized. Another limitation was the visual analysis of FDG PET and FDOPA PET images, rather than standardized objective measures like SPM analysis used in previous studies.

Conclusion

Gait freezing occurred more commonly in PD patients with more severe disease and those with a PIGD phenotype. Freezers exhibited a more symmetrical loss of dopaminergic uptake on FDOPA PET, whereas nonfreezers showed greater asymmetry. In addition, FDG PET revealed a trend toward greater basal ganglia hypometabolism in freezers, suggesting a more profound striatal dysfunction. More widespread frontoparietal cortical hypometabolism was also observed in freezers, although cognitive, affective, and autonomic function scores did not differ significantly between groups. These findings reinforce the role of striatal and cortical dysfunction in the pathophysiology of FOG, have potential clinical relevance by helping to identify patients at higher risk of FOG, and could support more targeted interventions, particularly those aimed at cognitive or executive domains, in earlier stages of care.

One may argue about the utility of these costly imaging techniques in the routine clinical care of Parkinson’s disease. Our study demonstrates specific brain changes in patients with freezing of gait, such as more symmetrical dopamine loss and broader areas of reduced brain activity. These findings may not immediately change treatment but can help better understand which patients are more likely to develop freezing. This information could help select patients for clinical trials or develop more targeted treatment approaches.

Conflicts of interest

There are no conflicts of interest.

Funding Statement

Nil.

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